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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JA</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Aging</journal-id>
      <journal-title>JMIR Aging</journal-title>
      <issn pub-type="epub">2561-7605</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
    <article-id pub-id-type="publisher-id">v1i2e11051</article-id>
    <article-id pub-id-type="pmid">31518244</article-id>
    <article-id pub-id-type="doi">10.2196/11051</article-id>
    <article-categories>
      <subj-group subj-group-type="heading">
        <subject>Original Paper</subject>
      </subj-group>
      <subj-group subj-group-type="article-type">
        <subject>Original Paper</subject>
      </subj-group>
    </article-categories>
    <title-group>
      <article-title>Informal Caregivers’ Use of Internet-Based Health Resources: An Analysis of the Health Information National Trends Survey</article-title>
    </title-group>
    <contrib-group>
      <contrib contrib-type="editor">
        <name>
          <surname>Wang</surname>
          <given-names>Jing</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Chiu</surname>
          <given-names>Mary</given-names>
        </name>
      </contrib>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Efthymiou</surname>
          <given-names>Areti</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="author" id="contrib1" corresp="yes">
      <name name-style="western">
        <surname>Shaffer</surname>
        <given-names>Kelly M</given-names>
      </name>
      <degrees>PhD</degrees>
      <xref rid="aff1" ref-type="aff">1</xref>
      <xref rid="aff2" ref-type="aff">2</xref>
      <address>
        <institution>Center for Behavioral Health &amp; Technology</institution>
        <institution>Department of Psychiatry and Neurobehavioral Sciences</institution>
        <institution>University of Virginia School of Medicine</institution>
        <addr-line>PO Box 801075</addr-line>
        <addr-line>Charlottesville, VA, 22908</addr-line>
        <country>United States</country>
        <phone>1 434 982 1022</phone>
        <email>kshaffer@virginia.edu</email>
      </address>  
      <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-9749-8006</ext-link></contrib>
      <contrib contrib-type="author" id="contrib2">
        <name name-style="western">
          <surname>Chow</surname>
          <given-names>Philip I</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff2" ref-type="aff">2</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-1147-1145</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib3">
        <name name-style="western">
          <surname>Cohn</surname>
          <given-names>Wendy F</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff3" ref-type="aff">3</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-4351-8497</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib4">
        <name name-style="western">
          <surname>Ingersoll</surname>
          <given-names>Karen S</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff2" ref-type="aff">2</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-8115-2548</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib5">
        <name name-style="western">
          <surname>Ritterband</surname>
          <given-names>Lee M</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff2" ref-type="aff">2</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-7624-5213</ext-link>
      </contrib>
    </contrib-group>
    <aff id="aff1">
    <label>1</label>
    <institution>Department of Psychiatry and Behavioral Sciences</institution>
    <institution>Memorial Sloan Kettering Cancer Center</institution>  
    <addr-line>New York, NY</addr-line>
    <country>United States</country></aff>
    <aff id="aff2">
    <label>2</label>
    <institution>Center for Behavioral Health &amp; Technology</institution>
    <institution>Department of Psychiatry and Neurobehavioral Sciences</institution>  
    <institution>University of Virginia School of Medicine</institution>  
    <addr-line>Charlottesville, VA</addr-line>
    <country>United States</country></aff>
    <aff id="aff3">
    <label>3</label>
    <institution>Department of Public Health Sciences</institution>
    <institution>University of Virginia School of Medicine</institution>  
    <addr-line>Charlottesville, VA</addr-line>
    <country>United States</country></aff>
    <author-notes>
      <corresp>Corresponding Author: Kelly M Shaffer 
      <email>kshaffer@virginia.edu</email></corresp>
    </author-notes>
    <pub-date pub-type="collection"><season>Jul-Dec</season><year>2018</year></pub-date>
    <pub-date pub-type="epub">
      <day>18</day>
      <month>12</month>
      <year>2018</year>
    </pub-date>
    <volume>1</volume>
    <issue>2</issue>
    <elocation-id>e11051</elocation-id>
    <!--history from ojs - api-xml-->
    <history>
      <date date-type="received">
        <day>14</day>
        <month>5</month>
        <year>2018</year>
      </date>
      <date date-type="rev-request">
        <day>16</day>
        <month>10</month>
        <year>2018</year>
      </date>
      <date date-type="rev-recd">
        <day>29</day>
        <month>10</month>
        <year>2018</year>
      </date>
      <date date-type="accepted">
        <day>30</day>
        <month>10</month>
        <year>2018</year>
      </date>
    </history>
    <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
    <copyright-statement>©Kelly M Shaffer, Philip I Chow, Wendy F Cohn, Karen S Ingersoll, Lee M Ritterband. Originally published in JMIR Aging (http://aging.jmir.org), 18.12.2018.</copyright-statement>
    <copyright-year>2018</copyright-year>
    <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
      <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on http://aging.jmir.org, as well as this copyright and license information must be included.</p>
    </license>  
    <self-uri xlink:href="http://aging.jmir.org/2018/2/e11051/" xlink:type="simple"/>
    <abstract>
      <sec sec-type="background">
        <title>Background</title>
        <p>Informal caregivers express strong interest in technology innovations to help them in their caregiving role; however, divides across sociodemographic characteristics in internet and technology access may preclude the most vulnerable caregivers from accessing such resources.</p>
      </sec>
      <sec sec-type="objective">
        <title>Objective</title>
        <p>This study aims to examine caregivers’ internet use, both generally and for seeking health-related information, and whether usage differs as a function of caregivers’ characteristics.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>Data were analyzed from the Health Information National Trends Survey 5 Cycle 1. Participants were included in analyses if they self-identified as providing uncompensated care to a close individual. Caregivers reported internet use factors, age, education, rurality, general health, distress, and objective caregiving burden. We used chi-square tests of independence with jackknife variance estimation to compare whether internet use factors differed by caregivers’ characteristics.</p>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>A total of 77.5% (303/391) caregivers surveyed reported ever using the internet. Of internet users, 88.1% (267/303) accessed from a home computer and 83.2% (252/303) from a mobile device. Most caregivers accessed health information for themselves (286/391, 73.1%) or others (264/391, 67.5%); fewer communicated with a doctor over the Web (148/391, 37.9%) or had a wellness app (171/391, 43.7%). Caregivers reporting younger age, more education, and good health were more likely to endorse any of these activities. Furthermore, two-thirds of caregivers (258/391, 66.0%) endorsed trust in health information from the internet.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>Computers and mobile devices are practical platforms for disseminating caregiving-related information and supportive services to informal caregivers; these modalities may, however, have a more limited reach to caregivers who are older, have less education, and are in poorer health.</p>
      </sec>
    </abstract>
    <kwd-group>
      <kwd>caregivers</kwd>
      <kwd>health education</kwd>
      <kwd>internet</kwd>
      <kwd>information dissemination</kwd>
      <kwd>mobile phone</kwd>
      <kwd>uncompensated care</kwd>
    </kwd-group></article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Over 42 million Americans provided unpaid care to a loved one with serious illness in 2015 [<xref ref-type="bibr" rid="ref1">1</xref>]; these informal caregivers provide practical, medical, and emotional assistance to people with illness, often with little preparation [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref3">3</xref>] and risking the decline of their own mental and physical health [<xref ref-type="bibr" rid="ref4">4</xref>-<xref ref-type="bibr" rid="ref7">7</xref>]. Caregivers see technology (eg, computers, smartphones, and tablets) as having the marked potential to assist them in their caregiver role by offering conveniently accessible information, support, and organizational tools [<xref ref-type="bibr" rid="ref8">8</xref>]. Indeed, caregivers are more likely than noncaregivers to have internet access and access health-related information over the Web [<xref ref-type="bibr" rid="ref9">9</xref>]. As such, psychosocial researchers and caregiver advocates are also turning to internet-based programs as resources for this population, given caregivers’ high barriers to accessing traditional in-person supportive care [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref10">10</xref>-<xref ref-type="bibr" rid="ref14">14</xref>]. Although inequalities are narrowing, prevailing disparities in internet and technology access suggest that digital tools and interventions may not be equivalently accessible by all caregivers [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>]. Americans aged ≥65 years, with high school education or less, and living in rural areas are both less likely to report home internet access or own a smartphone [<xref ref-type="bibr" rid="ref15">15</xref>] and more likely to experience poor health outcomes from caregiving [<xref ref-type="bibr" rid="ref17">17</xref>-<xref ref-type="bibr" rid="ref19">19</xref>]. These disparities suggest that some of the most vulnerable caregivers may be least likely to benefit from internet- and technology-delivered resources, warranting further investigation.</p>
      <p>Informal caregivers are a high-risk population for poor mental and physical health outcomes. Compared with the general population, caregivers report higher rates of depression and anxiety [<xref ref-type="bibr" rid="ref20">20</xref>-<xref ref-type="bibr" rid="ref22">22</xref>], have poorer healthy lifestyle behaviors, such as diet, exercise, and sleep [<xref ref-type="bibr" rid="ref23">23</xref>-<xref ref-type="bibr" rid="ref25">25</xref>], and exhibit premature physical health decline [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>]. Such discrepancies are likely related, in part, to the high stresses of caregiving. Caregivers report spending 24 hours per week on average on caregiving tasks [<xref ref-type="bibr" rid="ref1">1</xref>], although demands can be markedly greater depending on the care recipient disease severity; caregivers for people with Alzheimer’s disease are estimated to spend an average of 6 hours per day on caregiving [<xref ref-type="bibr" rid="ref26">26</xref>], and cancer caregivers have described feeling “on-call” 24 hours per day [<xref ref-type="bibr" rid="ref27">27</xref>]. Caregiving includes tasks such as assisting a loved one with activities of daily living and medical tasks, distributing information to family and friends, and navigating health care decisions [<xref ref-type="bibr" rid="ref1">1</xref>]. Although in-person psychosocial interventions and educational tools have been effective in improving caregivers’ well-being and role mastery [<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>], these interventions experience low enrollment, high dropout, and limited reach to caregivers of lower socioeconomic strata.</p>
      <p>Disseminating caregiving resources through the internet may lower the barrier to entry and increase accessibility for caregivers by affording caregivers timely and convenient access to resources. Among the general US population, the internet fills an important gap in meeting health information needs; individuals with the highest barriers to health care access (ie, those who are traditionally underserved) are most likely to search for health-related information over the Web [<xref ref-type="bibr" rid="ref31">31</xref>]. Over 90% of caregivers express interest in using internet- and technology-based tools to assist them in their caregiving role, with a particular interest in tools to help with managing medication refill and adherence, medical appointments, and emotional strain from caregiving [<xref ref-type="bibr" rid="ref8">8</xref>]. While the acceptability of these tools seems apparent, &lt;10% of caregivers report actually using any such tools that are currently available over the Web [<xref ref-type="bibr" rid="ref8">8</xref>], raising questions regarding the extent to which all caregivers will be able to access and benefit equally from such internet- and technology-delivered resources. Such resources may range in complexity from static informational websites to websites tailored based on user input, multicomponent programs and apps [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>]. The uptake of these varying resources is influenced by caregivers’ digital literacy (eg, personal capacity for technology use, including computer proficiency), accessibility of technology, caregiving needs, and stress [<xref ref-type="bibr" rid="ref32">32</xref>]. Understanding how caregivers’ sociodemographic factors may interact with their natural propensity to use different internet resources will help identify caregivers for whom internet-based tools may have the greatest, and least, reach.</p>
      <p>Therefore, this study examines data from a large, nationally representative sample to better understand the potential reach of internet- and technology-delivered caregiving resources. The primary aims of this investigation are to characterize internet use among informal caregivers and examine whether internet usage differs according to certain sociodemographic, health, and caregiving-related factors. First, we characterize caregivers’ self-reported internet use: both generally—whether they ever reported using the internet for any reason—and specifically for seeking health information. Next, we investigate whether such internet use differs according to factors potentially associated with disparities, namely caregivers’ age, educational attainment, rurality, general health, distress, and caregiving burden.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study Design and Participants</title>
        <p>This is a cross-sectional study using data from the Health Information National Trends Survey (HINTS, 2017) [<xref ref-type="bibr" rid="ref33">33</xref>] Version 5, Cycle 1, a nationally representative survey of civilian, noninstitutionalized adults aged ≥18 years in the United States. This survey is conducted by the National Cancer Institute (NCI) and assesses Americans’ access to and use of health information. The HINTS was reviewed and approved by the Institutional Review Boards of the NCI Special Studies and the main contractor (Westat, Inc). Surveys were distributed by mail between January 2017 and May 2017. Of 13,360 surveys mailed, 3285 participants returned surveys (response rate, 32.4%). Additional methodology details are provided in the Methodology Report [<xref ref-type="bibr" rid="ref34">34</xref>].</p>
        <p>This analysis exclusively reports data from 391 participants who self-identified as a caregiver for an adult by answering affirmatively to the item “Are you currently caring for or making health care decisions for someone with a medical, behavioral, disability, or some other condition?” Caregivers could indicate that they were providing care to a spouse, parent, another family member, or another close individual; caregivers could select multiple responses to indicate they provided care for multiple individuals. Informal caregiving surveys typically focus on informal care to adults, given the anomalous, age-discordant nature of this caregiving [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref8">8</xref>]. Informal caregiving for a child is typically assessed with a denotation of atypical care provision, for example, “this kind of care is more than the normal care required for a child” [<xref ref-type="bibr" rid="ref1">1</xref>]; no such specification was provided in the HINTS survey. As such, for this analysis, participants exclusively reporting caring for a child were not included (n=189); however, individuals endorsing care for both a child and an adult were included (n=64).</p>
      </sec>
      <sec>
        <title>Measures</title>
        <p>The specific wording of all measures reported in this study is available on the Web [<xref ref-type="bibr" rid="ref35">35</xref>].</p>
        <sec>
          <title>Internet Use Variables</title>
          <p>Outcomes of interest were assessed by the following single-item questions.</p>
          <sec>
            <title>Internet Use</title>
            <p>Internet use was ascertained by participants responding to “Do you ever go on-line to access the Internet or World Wide Web, or to send and receive e-mail?” Response options were <italic>Yes</italic> or <italic>No</italic>.</p>
          </sec>
          <sec>
            <title>Internet Use by Home Computer and/or Mobile Device</title>
            <p>Those participants answering affirmatively to internet use were then asked, “How often do you access the Internet through each of the following…Computer at home?…On a mobile device (cell phone/smartphone/tablet)?” Response options were dichotomized to <italic>Daily</italic> and <italic>Sometimes</italic> versus <italic>Never</italic> and <italic>Not applicable</italic> for each item separately.</p>
          </sec>
          <sec>
            <title>Wellness Mobile Apps</title>
            <p>All participants were asked, “On your tablet or smartphone, do you have any ‘apps’ related to health and wellness?” Response options were <italic>Yes</italic>, <italic>No</italic>, <italic>Don’t know</italic>, or <italic>Do not have a tablet or smartphone</italic>. Participants who indicated that they did not have a tablet or smartphone were excluded from analyses with this variable (50/391, 12.8%). Remaining responses were dichotomized to <italic>Yes</italic> versus <italic>No</italic> and <italic>Don’t know</italic>.</p>
          </sec>
          <sec>
            <title>Electronic Access of Health Information for Self and/or Someone Else and Contact With Doctor</title>
            <p>All participants were asked, “In the past 12 months, have you used a computer, smartphone, or other electronic means to do any of the following…Looked for health or medical information for yourself?…Looked for health or medical information for someone else?…Used e-mail or the Internet to communicate with a doctor or a doctor’s office?” Response options were <italic>Yes</italic> or <italic>No</italic> for each item.</p>
          </sec>
          <sec>
            <title>Trust in Health Information From the Internet</title>
            <p>All participants were asked, “In general, how much would you trust information about health or medical topics from each of the following…Internet?” Response options were dichotomized to <italic>Not at all</italic> and <italic>A little</italic> versus <italic>Some</italic> and <italic>A lot</italic>.</p>
          </sec>
        </sec>
        <sec>
          <title>Caregiver Characteristics</title>
          <p>Dichotomized variables for caregivers’ age (<italic>18-64</italic> vs ≥<italic>65</italic>), level of education (<italic>high school or less</italic> vs <italic>some college or more</italic>), rurality (<italic>metropolitan</italic> vs <italic>nonmetropolitan</italic>), general health (self-reported as <italic>excellent</italic>, <italic>very good</italic>, or <italic>good</italic> vs <italic>fair</italic> or <italic>poor</italic>), distress [Patient Health Questionnaire (PHQ)-4 total score of ≤<italic>2</italic> vs ≥<italic>3</italic>], and caregiving burden (time spent providing care <italic>&lt;5 hours/week</italic> vs ≥<italic>5 hours/week</italic>) were examined for their relations to the internet use variables.</p>
          <p>Age was dichotomized at 65 years (as reported previously [<xref ref-type="bibr" rid="ref1">1</xref>]). Rurality was determined according to the National Center for Health Statistics Urban–Rural Classification Scheme for Counties, which was dichotomized to capture metropolitan (large metro to small metro) versus nonmetropolitan (micropolitan and noncore) counties of participants’ residence. Distress was assessed by the PHQ-4 [<xref ref-type="bibr" rid="ref36">36</xref>], which includes 2 items assessing anxiety and 2 items assessing depressed mood. Items are rated on a Likert scale score from 0 (<italic>Not at all</italic>) to 3 (<italic>Nearly every day</italic>). Higher sum scores indicate greater overall distress, with scores of ≥3 demarking clinically meaningful symptoms. The PHQ-4 has demonstrated strong reliability and validity for measuring depression and anxiety in the general population [<xref ref-type="bibr" rid="ref36">36</xref>]. Caregivers’ reported hours spent caregiving per week (response options included “less than 5 hours per week,” “5-14 hours per week,” “15-20 hours per week,” “21-34 hours per week,” and “35 or more hours per week”) represented an approximate measure of the objective caregiving burden.</p>
        </sec>
      </sec>
      <sec>
        <title>Analytical Strategy</title>
        <sec>
          <title>Principal analyses</title>
          <p>Descriptive statistics (means with SDs or frequencies, as appropriate) for study variables were conducted using SPSS version 25 (<xref ref-type="table" rid="table1">Tables 1</xref> and <xref ref-type="table" rid="table2">2</xref>). Research aims were addressed by weighted chi-square tests of independence that tested whether caregivers’ characteristics related to internet use variables. Data were analyzed using SAS 9.4 SURVEYFREQ procedures to account for the complex sampling design of the HINTS survey. Analyses were weighted using the full-sample weights provided in the public use datasets, yielding nationally representative population estimates. In addition, the jackknife variance estimation with repeated replications was used to estimate SEs, which reduces bias and, therefore, type I error. These procedures are in accordance with published HINTS analysis recommendations [<xref ref-type="bibr" rid="ref37">37</xref>]. Furthermore, alpha of .05 was used to determine significance for all tests.</p>
        </sec>
        <sec>
          <title>Post-hoc analyses</title>
          <p>Upon completion of principal analyses, we noted that 39 caregivers (10.0%) reported having accessed information or communicating with a doctor by internet-based or other electronic methods in the past year (ie, Information: Self, Information: Other, and/or Talk with Doctor=Yes), yet denied ever having used the internet (ie, Use Internet=No); this discrepancy suggests that some users may have incorrectly characterized themselves as noninternet users. To increase confidence that the planned analyses captured all caregivers who used the internet, a variable was computed that combined anyone who indicated affirmatively to any of the items—Information: Self, Information: Other, Talk with Doctor, and/or Use Internet. Then, weighted chi-square tests of independence were repeated, comparing the proportions of caregivers endorsing this expanded Use Internet variable by age, education, rurality, distress, and caregiving burden.</p>
        </sec>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Principal Results</title>
        <p><xref ref-type="table" rid="table1">Table 1</xref> presents sample characteristics for participating caregivers’ sociodemographic, health, and caregiving factors. Caregivers’ average age was 58 (range: 24-101) years, 55.0% (215/391) of the sample self-identified as non-Hispanic white, 64.5% (252/391) identified as female, and 21.0% (82/391) reported having children living in their home. Caregivers were most commonly (181/391, 46.3%) caring for a parent. Aging-related health issues (165/391, 42.2%) were most commonly reported as a reason that the care recipient required assistance. Most caregivers reported some college education or more (293/391, 74.9%), and lived in a metropolitan county (330/391, 84.4%). Most caregivers endorsed good health or better (319/391, 81.6%) and minimal distress (251/391, 64.2%). Caregivers most commonly reported spending ≥5 hours/week providing care to the care recipient(s) (228/391, 58.3%).</p>
        
        </sec>
      <sec>
        <title>Aim 1: Characterize Internet Use Among Caregivers</title>
        <p><xref ref-type="table" rid="table2">Table 2</xref> provides detailed descriptions of participating caregivers’ internet use variables. Most caregivers indicated that they had used the internet (303/391, 77.5%); of these, most reported that they accessed the internet from a computer at home (267/391, 88.1%) and/or a mobile device (252/391, 83.2%). Among those with a tablet or smartphone, a similar percentage of caregivers endorsed having a wellness mobile app (171/391, 43.7%) versus not having one (165/391, 42.2%). Most caregivers reported having used electronic means to access health information for themselves (286/391, 73.1%) or someone else (264/391, 67.5%) in the past year; a few reported having communicated with a doctor using the internet or email (148/391, 37.9%). Furthermore, two-thirds of caregivers (258/391, 66.0%) endorsed mostly trusting medical information from the internet.</p>
            
      </sec>
      <sec>
        <title>Aim 2: Examine Internet Use Across Caregiver Characteristics</title>
        <p><xref ref-type="table" rid="table3">Table 3</xref> presents results for weighted chi-square tests comparing internet use generally (Use Internet) and internet use by home computer (Use Internet: Home) or mobile device (Use Internet: Mobile). Older age, less education, and metropolitan residence were associated with a lower likelihood of endorsing internet use. Among those caregivers endorsing internet use, worse general health was associated with a lower likelihood of accessing the internet from home computer, and older age was associated with a lower likelihood of accessing the internet from a mobile device.</p>
        
           
        <p><xref ref-type="table" rid="table4">Table 4</xref> presents results for weighted chi-square tests comparing a wellness mobile app use (Wellness App) and comparing electronic health information access for one’s self (Information: Self) or another person (Information: Other). Among those owning a tablet or smartphone, older age was associated with a lower likelihood of having downloaded a wellness app. Only older age was associated with a lower likelihood of using the internet to access information for one’s self. Furthermore, older age and less education were associated with a lower likelihood of using the internet to access information for someone else.</p>
        
            <p><xref ref-type="table" rid="table5">Table 5</xref> presents results for weighted chi-square tests, electronic communication with a doctor (Talk with doctor), and trust in health information from the internet (Trust internet information). Older age and worse general health were associated with a lower likelihood of electronic communication with a doctor. Worse general health was associated with less trust in health information from the internet.</p>
            
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Sample description (N=391).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="30"/>
            <col width="740"/>
            <col width="200"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Characteristics</td>
                <td>Value<sup>a</sup></td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="4"><bold>Sample characteristics</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="2">Age, mean (SD)</td>
                <td>58.3 (13.9)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="2">Gender (Female), n (%)</td>
                <td>252 (64.5)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Race or ethnicity, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Non-Hispanic White</td>
                <td>215 (55.0)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Non-Hispanic Black or African American</td>
                <td>55 (14.1)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Hispanic</td>
                <td>48 (12.3)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Non-Hispanic Asian</td>
                <td>22 (5.6)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Non-Hispanic other</td>
                <td>18 (4.6)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Relationship to care recipient<sup>b</sup>, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Spouse</td>
                <td>147 (37.6)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Child</td>
                <td>181 (46.3)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Other family</td>
                <td>77 (19.1)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Friend or other</td>
                <td>38 (9.7)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Care recipient condition<sup>c</sup>, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Cancer</td>
                <td>65 (16.6)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Alzheimer’s or dementia or cognitive impairment</td>
                <td>132 (33.8)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Aging</td>
                <td>165 (42.2)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Children in home, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>0</td>
                <td>279 (71.4)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>1-2</td>
                <td>64 (16.4)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>≥3</td>
                <td>18 (4.6)</td>
              </tr>
              <tr valign="top">
                <td colspan="4"><bold>Caregiver characteristics examined for impact</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Age group, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>18-64</td>
                <td>251 (64.2)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>≥65</td>
                <td>123 (31.5)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Level of education, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>High school or less</td>
                <td>86 (22.0)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Some college or more</td>
                <td>293 (74.9)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Rurality, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Metropolitan</td>
                <td>330 (84.4)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Nonmetropolitan</td>
                <td>61 (15.6)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>General health, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Excellent, Very good, Good</td>
                <td>319 (81.6)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Fair, poor</td>
                <td>68 (17.4)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Distress (Patient Health Questionnaire-4), n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Minimal symptoms (≤2)</td>
                <td>251 (64.2)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>Mild symptoms or more (≥3)</td>
                <td>128 (32.7)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td colspan="3"><bold>Caregiving burden, n (%)</bold></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>&lt;5 hours/week</td>
                <td>136 (34.8)</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td><break/></td>
                <td>≥5 hours/week</td>
                <td>228 (58.3)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>Numbers may not total to N where data are missing.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>Caregivers may provide care to &gt;1 relative.</p>
            </fn>
            <fn id="table1fn3">
              <p><sup>c</sup>Care may be provided to care recipients for multiple conditions.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        
      
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Internet usage and electronic health information access among caregivers (N=391).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="30"/>
            <col width="30"/>
            <col width="30"/>
            <col width="680"/>
            <col width="0"/>
            <col width="200"/>
            <thead>
              <tr valign="top">
                <td colspan="5">Questions</td>
                <td colspan="2">n<sup>a</sup> (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="7"><bold>Do you ever go online to access the internet or World Wide Web, or to send and receive email?</bold></td>
              </tr>
              <tr valign="top">
                <td/>
                <td colspan="4">No</td>
                <td colspan="2">88 (22.5)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="4"><bold>Yes</bold></td>
                <td colspan="2">303 (77.5)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td colspan="5"><bold>If yes, how often do you access the internet by:<sup>b</sup></bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="4"><bold>A computer at home?</bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2">Daily or Sometimes</td>
                <td>267 (88.1)<sup>c</sup></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2">Never or Nonapplicable</td>
                <td>31 (10.2)<sup>c</sup></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="4"><bold>A mobile device?</bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2">Daily or Sometimes</td>
                <td>252 (83.2)<sup>c</sup></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td colspan="2">Never or Nonapplicable</td>
                <td>38 (12.5)<sup>c</sup></td>
              </tr>
              <tr valign="top">
                <td colspan="7"><bold>On your tablet or smartphone, do you have any “apps” related to health and wellness?<sup>d</sup></bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="4">Yes</td>
                <td colspan="2">171 (43.7)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="4">No or Don’t know</td>
                <td colspan="2">165 (42.2)</td>
              </tr>
              <tr valign="top">
                <td colspan="7"><bold>In the past 12 months, have you used a computer, smartphone, or other electronic means to:</bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="6"><bold>Look for health/medical info for yourself?</bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td colspan="4">Yes</td>
                <td>286 (73.1)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td colspan="4">No</td>
                <td>105 (26.9)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="6"><bold>Look for health/medical info for someone else?</bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td colspan="4">Yes</td>
                <td>264 (67.5)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td colspan="4">No</td>
                <td>126 (32.2)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="6"><bold>Communicate with a doctor using email/internet?</bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td colspan="4">Yes</td>
                <td>148 (37.9)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td> </td>
                <td colspan="4">No</td>
                <td>242 (61.9)</td>
              </tr>
              <tr valign="top">
                <td colspan="7"><bold>In general, how much would you trust information about health or medical topics from the internet?</bold></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="4">A lot or Some</td>
                <td colspan="2">258 (66.0)</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="4">A little or Not at All</td>
                <td colspan="2">108 (27.6)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>Numbers may not total to N=391 where data are missing.</p>
            </fn>
            <fn id="table2fn2">
              <p><sup>b</sup>Only caregivers indicating that they ever used the internet were eligible to respond.</p>
            </fn>
            <fn id="table2fn3">
              <p><sup>c</sup>Percentage of those endorsing “Yes” to internet Use (ie, N=303).</p>
            </fn>
            <fn id="table2fn4">
              <p><sup>d</sup>Caregivers who reported not having a tablet or smartphone were excluded.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
    
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Differences in caregivers’ internet usage by their characteristics.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
           
              <col width="30"/>
        
              <col width="150"/>
           
              <col width="0"/>
           
              <col width="110"/>
           
              <col width="100"/>
           
              <col width="0"/>
           
              <col width="70"/>
            
              <col width="100"/>
              
            
              <col width="100"/>
           
              <col width="0"/>
            
              <col width="70"/>
           
              <col width="100"/>
           
              <col width="100"/>
           <col width="70"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Caregivers’ characteristics</td>
                <td colspan="4">Use Internet</td>
                <td colspan="3">Use Internet: Home</td>
                <td colspan="4">Use Internet: Mobile</td>
              </tr>
              <tr valign="bottom">
                <td colspan="3"><break/></td>
                <td>Yes, n (%)<sup>a</sup></td>
                <td>No, n (%)</td>
                <td colspan="2"> <italic>F</italic><sup>b</sup></td>
                <td>Yes, n (%)</td>
                <td>No, n (%)</td>
                <td colspan="2"> <italic>F</italic></td>
                <td>Yes, n (%)</td>
                <td>No, n (%)</td>
                <td> <italic>F</italic></td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="3"><bold>Age (years)</bold></td>
                <td/>
                <td> </td>
                <td colspan="2"><italic>8.80</italic><sup>c</sup></td>
                <td> </td>
                <td> </td>
                <td colspan="2">0.34</td>
                <td> </td>
                <td> </td>
                <td><italic>10.96</italic></td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">18-64</td>
                <td>212 (86.3)</td>
                <td colspan="2">39 (13.7)</td>
                <td> </td>
                <td>192 (91.7)</td>
                <td>18 (8.3)</td>
                <td colspan="2"> </td>
                <td>193 (96.7)</td>
                <td>16 (3.3)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">≥65</td>
                <td>83 (59.6)</td>
                <td colspan="2">40 (40.4)</td>
                <td> </td>
                <td>70 (87.2)</td>
                <td>11 (12.8)</td>
                <td colspan="2"> </td>
                <td>52 (68.8)</td>
                <td>22 (31.2)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td colspan="3"><bold>Education</bold></td>
                <td> </td>
                <td> </td>
                <td colspan="2"><italic>5.44</italic></td>
                <td> </td>
                <td> </td>
                <td colspan="2">1.34</td>
                <td> </td>
                <td> </td>
                <td>3.1</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">≤High school</td>
                <td>53 (68.3)</td>
                <td colspan="2">33 (31.7)</td>
                <td> </td>
                <td>45 (84.9)</td>
                <td>7 (15.1)</td>
                <td colspan="2"> </td>
                <td>39 (84.4)</td>
                <td>11 (15.6)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">≥Some college</td>
                <td>247 (83.8)</td>
                <td colspan="2">46 (16.2)</td>
                <td> </td>
                <td>220 (92.8)</td>
                <td>23 (7.2)</td>
                <td colspan="2"> </td>
                <td>211 (95.1)</td>
                <td>26 (4.9)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td colspan="3"><bold>Rurality</bold></td>
                <td> </td>
                <td> </td>
                <td colspan="2"><italic>7.07</italic></td>
                <td> </td>
                <td> </td>
                <td colspan="2">0.85</td>
                <td> </td>
                <td> </td>
                <td>1.24</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">Metropolitan</td>
                <td>253 (75.6)</td>
                <td colspan="2">77 (24.4)</td>
                <td> </td>
                <td>225 (92.0)</td>
                <td>25 (8.0)</td>
                <td colspan="2"> </td>
                <td>215 (93.5)</td>
                <td>28 (6.5)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">Nonmetropolitan</td>
                <td>50 (90.5)</td>
                <td colspan="2">11 (9.5)</td>
                <td> </td>
                <td>42 (85.3)</td>
                <td>6 (14.7)</td>
                <td colspan="2"> </td>
                <td>37 (85.8)</td>
                <td>10 (14.2)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td colspan="3"><bold>General health</bold></td>
                <td> </td>
                <td> </td>
                <td colspan="2">2.54</td>
                <td> </td>
                <td> </td>
                <td colspan="2"><italic>5.35</italic></td>
                <td> </td>
                <td> </td>
                <td>2.16</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">≥Good</td>
                <td>264 (82.6)</td>
                <td colspan="2">55 (17.4)</td>
                <td> </td>
                <td>237 (94.9)</td>
                <td>22 (5.1)</td>
                <td colspan="2"> </td>
                <td>222 (94.0)</td>
                <td>30 (6.0)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">≤Fair</td>
                <td>39 (63.9)</td>
                <td colspan="2">29 (36.1)</td>
                <td> </td>
                <td>30 (67.0)</td>
                <td>9 (33.0)</td>
                <td colspan="2"> </td>
                <td>30 (81.5)</td>
                <td>8 (18.5)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td colspan="3"><bold>Distress (PHQ-4<sup>d</sup>)</bold></td>
                <td> </td>
                <td> </td>
                <td colspan="2">1.36</td>
                <td> </td>
                <td> </td>
                <td colspan="2">0</td>
                <td> </td>
                <td> </td>
                <td>0.05</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">Minimal (≤2)</td>
                <td>199 (75.5)</td>
                <td colspan="2">52 (24.5)</td>
                <td> </td>
                <td>175 (90.7)</td>
                <td>21 (9.3)</td>
                <td colspan="2"> </td>
                <td>171 (92.5)</td>
                <td>20 (7.5)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">Mild or more (≥3)</td>
                <td>97 (83.0)</td>
                <td colspan="2">31 (17.0)</td>
                <td> </td>
                <td>86 (90.7)</td>
                <td>9 (9.3)</td>
                <td colspan="2"> </td>
                <td>77 (91.7)</td>
                <td>16 (8.3)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td colspan="3"><bold>Caregiving burden</bold></td>
                <td> </td>
                <td> </td>
                <td colspan="2">1.6</td>
                <td> </td>
                <td> </td>
                <td colspan="2">0</td>
                <td> </td>
                <td> </td>
                <td>2.81</td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">&lt;5 hours/week</td>
                <td>114 (84.8)</td>
                <td colspan="2">22 (15.2)</td>
                <td> </td>
                <td>99 (90.7)</td>
                <td>13 (9.3)</td>
                <td colspan="2"> </td>
                <td>97 (95.4)</td>
                <td>11 (4.6)</td>
                <td> </td>
              </tr>
              <tr valign="top">
                <td> </td>
                <td colspan="2">≥5 hours/week</td>
                <td>177 (78.0)</td>
                <td colspan="2">51 (22.0)</td>
                <td> </td>
                <td>158 (91.1)</td>
                <td>16 (8.9)</td>
                <td colspan="2"> </td>
                <td>144 (90.2)</td>
                <td>26 (9.8)</td>
                <td> </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table3fn1">
              <p><sup>a</sup>Numbers may not match with totals reported in <xref ref-type="table" rid="table2">Table 2</xref> where data are missing, and percentages are weighted using jackknife weighting.</p>
            </fn>
            <fn id="table3fn2">
              <p><sup>b</sup>All chi-square tests have degree of freedom (1, 49)—<italic>F</italic>&gt;4.04, <italic>P</italic>&lt;.05; <italic>F</italic>&gt;7.19, <italic>P</italic>&lt;.01; <italic>F</italic>&gt;12.37, <italic>P</italic>&lt;.001.</p>
            </fn>
            <fn id="table3fn3">
              <p><sup>c</sup>Comparisons with <italic>P</italic>&lt;.05 are presented in italics for reference.</p>
            </fn>
            <fn id="table3fn4">
              <p><sup>d</sup>PHQ-4: Patient Health Questionnaire-4.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
     
        <table-wrap position="float" id="table4">
          <label>Table 4</label>
          <caption>
            <p>Differences in caregivers’ use of wellness apps and access to electronic health information by their characteristics.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="170"/>
            <col width="110"/>
            <col width="100"/>
            <col width="70"/>
            <col width="100"/>
            <col width="100"/>
            <col width="60"/>
            <col width="100"/>
            <col width="100"/>
            <col width="60"/>
            <thead>
              <tr valign="top">
                <td rowspan="2" colspan="2">Caregivers’ characteristics</td>
                <td colspan="3">Wellness App</td>
                <td colspan="3">Information: Self</td>
                <td colspan="3">Information: Other</td>
              </tr>
          
              <tr valign="top">
                <td><break/><break/>Yes, n (%)<sup>a</sup></td>
                <td>No or don’t know, n (%)</td>
                <td><italic>F</italic><sup>b</sup></td>
                <td>Yes, n (%)</td>
                <td>No, n (%)</td>
                <td><italic>F</italic></td>
                <td>Yes, n (%)</td>
                <td>No, n (%)</td>
                <td><italic>F</italic></td>
              </tr>
                </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2"><bold>Age (years)</bold></td>
                <td/>
                <td><break/></td>
                <td><italic>4.04</italic><sup>c</sup></td>
                <td><break/></td>
                <td><break/></td>
                <td><italic>9.89</italic></td>
                <td><break/></td>
                <td><break/></td>
                <td><italic>13.82</italic></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>18-64</td>
                <td>127 (59.4)</td>
                <td>106 (40.6)</td>
                <td><break/></td>
                <td>198 (80.2)</td>
                <td>53 (19.8)</td>
                <td><break/></td>
                <td>191 (79.8)</td>
                <td>60 (20.2)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≥65</td>
                <td>36 (43.5)</td>
                <td>57 (56.5)</td>
                <td><break/></td>
                <td>76 (56.7)</td>
                <td>47 (43.3)</td>
                <td><break/></td>
                <td>64 (47.0)</td>
                <td>59 (53.0)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Education</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>1.63</td>
                <td><break/></td>
                <td><break/></td>
                <td>2.83</td>
                <td><break/></td>
                <td><break/></td>
                <td><italic>6.54</italic></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≤High school</td>
                <td>32 (48.7)</td>
                <td>37 (51.3)</td>
                <td><break/></td>
                <td>51 (65.0)</td>
                <td>35 (35.0)</td>
                <td><break/></td>
                <td>43 (56.1)</td>
                <td>43 (43.9)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≥Some college</td>
                <td>138 (60.9)</td>
                <td>126 (39.1)</td>
                <td><break/></td>
                <td>229 (79.5)</td>
                <td>64 (20.5)</td>
                <td><break/></td>
                <td>217 (78.6)</td>
                <td>76 (21.4)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Rurality</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>1.98</td>
                <td><break/></td>
                <td><break/></td>
                <td>1.24</td>
                <td><break/></td>
                <td><break/></td>
                <td>0.09</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Metropolitan</td>
                <td>150 (59.6)</td>
                <td>135 (40.4)</td>
                <td><break/></td>
                <td>245 (76.2)</td>
                <td>85 (23.8)</td>
                <td><break/></td>
                <td>225 (71.5)</td>
                <td>104 (28.5)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Nonmetropolitan</td>
                <td>21 (44.2)</td>
                <td>30 (55.8)</td>
                <td><break/></td>
                <td>41 (63.9)</td>
                <td>20 (36.1)</td>
                <td><break/></td>
                <td>39 (68.7)</td>
                <td>22 (31.3)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>General health</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>3.72</td>
                <td><break/></td>
                <td><break/></td>
                <td>0.55</td>
                <td><break/></td>
                <td><break/></td>
                <td>1.05</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≥Good</td>
                <td>149 (60.6)</td>
                <td>131 (39.4)</td>
                <td><break/></td>
                <td>239 (76.8)</td>
                <td>80 (23.2)</td>
                <td><break/></td>
                <td>225 (73.8)</td>
                <td>94 (26.2)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≤Fair</td>
                <td>22 (43.1)</td>
                <td>32 (56.9)</td>
                <td><break/></td>
                <td>47 (69.9)</td>
                <td>21 (30.1)</td>
                <td><break/></td>
                <td>38 (63.4)</td>
                <td>29 (36.6)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Distress (PHQ-4<sup>d</sup>)</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>0.11</td>
                <td><break/></td>
                <td><break/></td>
                <td>0.12</td>
                <td><break/></td>
                <td><break/></td>
                <td>0.30</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Minimal (≤2)</td>
                <td>114 (59.0)</td>
                <td>104 (41.0)</td>
                <td><break/></td>
                <td>186 (73.5)</td>
                <td>65 (26.5)</td>
                <td><break/></td>
                <td>175 (69.3)</td>
                <td>75 (30.7)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Mild or more (≥3)</td>
                <td>55 (56.5)</td>
                <td>54 (43.5)</td>
                <td><break/></td>
                <td>92 (75.9)</td>
                <td>36 (24.1)</td>
                <td><break/></td>
                <td>46 (73.4)</td>
                <td>82 (26.6)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Caregiving burden</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>0.03</td>
                <td><break/></td>
                <td><break/></td>
                <td>1.26</td>
                <td><break/></td>
                <td><break/></td>
                <td>0.26</td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>&lt;5 hours/week</td>
                <td>62 (58.1)</td>
                <td>62 (41.9)</td>
                <td><break/></td>
                <td>106 (81.1)</td>
                <td>30 (18.9)</td>
                <td><break/></td>
                <td>96 (75.1)</td>
                <td>40 (24.9)</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≥5 hours/week</td>
                <td>104 (59.5)</td>
                <td>87 (40.5)</td>
                <td><break/></td>
                <td>168 (73.4)</td>
                <td>60 (26.6)</td>
                <td><break/></td>
                <td>69 (71.9)</td>
                <td>158 (28.1)</td>
                <td><break/></td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table4fn1">
              <p><sup>a</sup>Numbers may not match with totals reported in <xref ref-type="table" rid="table2">Table 2</xref> where data are missing, and percentages are weighted using jackknife weighting.</p>
            </fn>
            <fn id="table4fn2">
              <p><sup>b</sup>All chi-square tests have degree of freedom (1, 49)—<italic>F</italic>&gt;4.04, <italic>P</italic>&lt;.05; <italic>F</italic>&gt;7.19, <italic>P</italic>&lt;.01; <italic>F</italic>&gt;12.37, <italic>P</italic>&lt;.001.</p>
            </fn>
            <fn id="table4fn3">
              <p><sup>c</sup>Comparisons with <italic>P</italic>&lt;.05 are presented in italics for reference.</p>
            </fn>
            <fn id="table4fn4">
              <p><sup>d</sup>PHQ-4: Patient Health Questionnaire-4.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        
    
        <table-wrap position="float" id="table5">
          <label>Table 5</label>
          <caption>
            <p>Differences in caregivers’ communication with doctors and trust in information from the internet by their characteristics.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="180"/>
            <col width="120"/>
            <col width="120"/>
            <col width="100"/>
            <col width="180"/>
            <col width="180"/>
            <col width="90"/>
            <col width="0"/>
            <thead>
              <tr valign="top">
                <td rowspan="2" colspan="2">Caregivers’ characteristics</td>
                <td colspan="3">Talk with doctor</td>
                <td colspan="4">Trust internet information</td>
              </tr>
           
              <tr valign="bottom">
                <td>Yes, n (%)<sup>a</sup></td>
                <td>No, n (%)</td>
                <td><italic>F</italic><sup>b</sup></td>
                <td>A lot or Some, n (%)</td>
                <td>A little or none, n (%)</td>
                <td><italic>F</italic></td>
                <td><break/></td>
              </tr>
               </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2"><bold>Age (years)</bold></td>
                <td/>
                <td><break/></td>
                <td><italic>9.64</italic><sup>c</sup></td>
                <td><break/></td>
                <td><break/></td>
                <td>4.01</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>18-64</td>
                <td>110 (45.9)</td>
                <td>140 (54.1)</td>
                <td><break/></td>
                <td>180 (73.3)</td>
                <td>62 (26.7)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≥65</td>
                <td>35 (24.8)</td>
                <td>88 (75.2)</td>
                <td><break/></td>
                <td>72 (55.8)</td>
                <td>38 (44.2)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Education</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>2.19</td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≤High school</td>
                <td>25 (32.7)</td>
                <td>61 (67.3)</td>
                <td><break/></td>
                <td>47 (60.0)</td>
                <td>30 (40.0)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≥Some college</td>
                <td>123 (44.1)</td>
                <td>169 (55.9)</td>
                <td><break/></td>
                <td>209 (72.3)</td>
                <td>72 (27.7)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Rurality</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>0.03</td>
                <td><break/></td>
                <td><break/></td>
                <td>0.09</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Metropolitan</td>
                <td>126 (39.4)</td>
                <td>203 (60.6)</td>
                <td><break/></td>
                <td>219 (68.1)</td>
                <td>87 (31.9)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Nonmetropolitan</td>
                <td>22 (41.1)</td>
                <td>39 (58.9)</td>
                <td><break/></td>
                <td>39 (65.3)</td>
                <td>21 (34.7)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>General health</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td><italic>6.37</italic></td>
                <td><break/></td>
                <td><break/></td>
                <td><italic>6.77</italic></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≥Good</td>
                <td>132 (44.3)</td>
                <td>187 (55.7)</td>
                <td><break/></td>
                <td>225 (73.9)</td>
                <td>77 (26.1)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≤Fair</td>
                <td>16 (21.6)</td>
                <td>51 (78.4)</td>
                <td><break/></td>
                <td>31 (42.7)</td>
                <td>29 (57.3)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Distress (PHQ-4<sup>d</sup>)</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>0.03</td>
                <td><break/></td>
                <td><break/></td>
                <td>0.07</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Minimal (≤2)</td>
                <td>103 (39.6)</td>
                <td>148 (60.4)</td>
                <td><break/></td>
                <td>170 (68.3)</td>
                <td>66 (31.7)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>Mild or more (≥3)</td>
                <td>43 (40.9)</td>
                <td>84 (59.1)</td>
                <td><break/></td>
                <td>80 (66.3)</td>
                <td>41 (33.7)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td colspan="2"><bold>Caregiving burden</bold></td>
                <td><break/></td>
                <td><break/></td>
                <td>2.28</td>
                <td><break/></td>
                <td><break/></td>
                <td>1.85</td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>&lt;5 hours/week</td>
                <td>63 (48.9)</td>
                <td>73 (51.1)</td>
                <td><break/></td>
                <td>99 (76.5)</td>
                <td>29 (23.5)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
              <tr valign="top">
                <td><break/></td>
                <td>≥5 hours/week</td>
                <td>81 (37.0)</td>
                <td>146 (63.0)</td>
                <td><break/></td>
                <td>150 (66.0)</td>
                <td>66 (34.0)</td>
                <td><break/></td>
                <td><break/></td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table5fn1">
              <p><sup>a</sup>Numbers may not match with totals reported in <xref ref-type="table" rid="table2">Table 2</xref> where data are missing, and percentages are weighted using jackknife weighting.</p>
            </fn>
            <fn id="table5fn2">
              <p><sup>b</sup>All chi-square tests have degree of freedom (1, 49)—<italic>F</italic>&gt;4.04, <italic>P</italic>&lt;.05; <italic>F</italic>&gt;7.19, <italic>P</italic>&lt;.01; <italic>F</italic>&gt;12.37, <italic>P</italic>&lt;.001.</p>
            </fn>
            <fn id="table5fn3">
              <p><sup>c</sup>Comparisons with <italic>P</italic>&lt;.05 are presented in italics for reference.</p>
            </fn>
            <fn id="table5fn4">
              <p><sup>d</sup>PHQ-4: Patient Health Questionnaire-4.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        
      </sec>
      <sec>
        <title>Post-Hoc Analyses</title>
        <p>Weighted chi-square tests of independence were repeated for the expanded Use Internet item (ie, answering affirmatively to any of the items: Information: Self, Information: Other, Talk with Doctor, and/or Use Internet) that accounted for caregivers’ potential misidentification as noninternet users. Results indicated a comparable pattern of findings between the original Use Internet and expanded Use Internet variables—older age (<italic>F</italic><sub>1,49</sub>=5.02, <italic>P</italic>=.03) and lower education (<italic>F</italic><sub>1,49</sub>=4.37, <italic>P</italic>=.04) were associated with lower reported internet use; general health (<italic>F</italic><sub>1,49</sub>=2.42, <italic>P</italic>=.25), distress (<italic>F</italic><sub>1,49</sub>=1.68, <italic>P</italic>=.20), and caregiving burden (<italic>F</italic><sub>1,49</sub>=3.74, <italic>P</italic>=.06) were not associated with the reported internet use. The only discrepant finding for the expanded Use Internet variable compared with the original Use Internet variable was that rurality was no longer significantly associated with internet use (<italic>F</italic><sub>1,49</sub>=2.42, <italic>P</italic>=.13).</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>Using data from a US nationally representative survey, this paper presents novel evidence regarding how internet use, both generally and specifically for accessing health-related information, differs among informal caregivers according to certain key sociodemographic, health, and caregiving-related factors. Overall, the internet use, both by home computers and mobile devices, was common among caregivers, as was accessing health information for themselves and other people through the internet. The proportion of caregivers in this study who endorsed ever using the internet (303/391, 77.5%) was lower than prior estimates of internet use among the general population (89%) [<xref ref-type="bibr" rid="ref15">15</xref>] or among caregivers (86%-92%) [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>], although adjusting to include individuals who indicated any electronic access of health-related communication or information resulted in more comparable rates (342/391, 87.5%). The use of wellness mobile apps and communicating with a doctor’s office by the internet were less common among caregivers. Older age, lower educational attainment, and poorer general health were associated with less frequent internet activity, as has been found among the general population [<xref ref-type="bibr" rid="ref15">15</xref>]. Furthermore, rurality, distress, and caregiving burden were generally not related to internet activity.</p>
        <p>From this survey data, caregivers aged ≥65 years tended to report lower overall internet use, with an estimated 40.4% of the population of older caregivers identifying as noninternet users, compared with 13.7% of caregivers under the age of 65 years. Among internet users, older caregivers did not differ from younger caregivers in terms of home computer internet access but did endorse an approximately 10-fold lower likelihood to access the internet by a mobile device. Growth trends in mobile phone use are highest among older adults [<xref ref-type="bibr" rid="ref38">38</xref>], however, suggesting the potential longer-term utility of mobile phones as a tool for enhancing older caregivers’ well-being [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]. Fewer older caregivers reported having a wellness “app” downloaded, searching for health- or medical-related information, and communicating with a doctor’s office using the internet. These findings regarding the disparity across the types of internet use by age are consistent with prior studies of both the general population [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref40">40</xref>] and caregivers [<xref ref-type="bibr" rid="ref8">8</xref>], in which older adults are less likely to use the internet either in general or for health-related purposes. Low-barrier caregiving-related resources, such as those delivered by the internet, may be especially important for older caregivers, being particularly vulnerable owing to frequently having less help with caregiving, more medical problems of their own, and more barriers to accessing traditional in-person resources [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>]. Importantly, older caregivers report being equally as interested in internet-based resources to assist them in their caregiving role as were younger caregivers [<xref ref-type="bibr" rid="ref8">8</xref>], meaning older adults’ lower internet use should not necessarily be interpreted as a lack of demand among this group. Interventions designed to enhance older caregivers’ internet skills and digital literacy may help increase reach and benefit of internet- and technology-based health resources to this rapidly growing and especially vulnerable subset of informal caregivers (for review of similar programs, see Ref. [<xref ref-type="bibr" rid="ref41">41</xref>]).</p>
        <p>Caregivers reporting fair or poor overall health, another vulnerable caregiving population, were equally as likely to report internet use as caregivers reporting good or better health, yet reported 6-fold lower access from a home computer. In terms of dissemination of caregiver resources by the internet, ensuring that Web-based resources are compatible with both computer and mobile browsers will ensure the broadest reach of such resources. Many programs developed for caregivers, however, are not cross-platform appropriate (eg, disseminated through a native app vs a mobile-friendly website) [<xref ref-type="bibr" rid="ref10">10</xref>-<xref ref-type="bibr" rid="ref14">14</xref>], which would limit reach across caregivers. In addition, caregivers with poorer health were less likely to have communicated with a doctor or doctor’s office through the internet and were twice as likely to distrust health-related information from the internet, despite being equally likely to access health information online. Notably, the HINTS survey did not qualify the item assessing trust in health information from the internet in terms of website reputability. It may be the case that caregivers in poorer health have had more experience finding “bad” information about health conditions online, thus expressing less trust in this modality. Overall, establishing reputability of internet- and technology-based caregiver resources, by ensuring the accuracy of information and creating a professional and appealing user experience, will be important to earn caregivers’ trust and uptake [<xref ref-type="bibr" rid="ref42">42</xref>].</p>
        <p>Contrary to expectations, caregivers living in a rural area were more likely to report internet use than those in metropolitan areas, although this finding did not hold in post-hoc analyses when broadening the internet use variable to account for those potentially misidentifying as noninternet users. The weighted percentage of internet use among the current sample of rural caregivers (90.5%) was substantively higher than prior nationally representative samples of adults living in rural areas (78%) [<xref ref-type="bibr" rid="ref15">15</xref>], although the unweighted percentage (50/61, 82.0%) was more comparable. Given caregivers in rural areas have less access to traditional in-person health care resources, internet- and technology-based resources may help meet supportive care demand for these caregivers [<xref ref-type="bibr" rid="ref31">31</xref>]. In addition, caregivers’ internet activity did not differ according to caregivers’ level of distress or caregiving burden. These findings contrast with previous qualitative findings among dementia caregivers, who had described stress and burden from caregiving as factors that interfered with their use of an internet-based intervention [<xref ref-type="bibr" rid="ref32">32</xref>]. Further research into how caregiving stresses—both objective (eg, time and care tasks) and subjective (eg, perceived burden and impact of caregiving)—affect the uptake and use of internet-based resources will help to ensure the greatest reach and utility of these resources for caregivers who most need them.</p>
      </sec>
      <sec>
        <title>Strengths, Limitations, and Future Directions</title>
        <p>This study reports findings from a cross-sectional survey that was designed to capture the attitudes of cancer-related health information from a representative sample of the general US adult population. As such, this survey was not designed to address research questions for this study specifically nor was sampling specifically targeted to family caregivers. Hence, this survey did not ascertain subjective caregiving burden or specific caregiving responsibilities, which may affect caregivers’ motivation or need to access health information by the internet. In addition, it was not ascertained whether caregivers were utilizing the internet specifically to assist them in their caregiving role; however, this has been previously well-described [<xref ref-type="bibr" rid="ref8">8</xref>], and this study extends the prior research to better understand what subsets of caregivers may be less likely to benefit from caregiver resources disseminated through the internet. Moreover, it should be noted that we analyzed a subset of the overall HINTS 5 cycle 1 sample (N=3285), namely those identifying as informal caregivers to adults (n=391), who were not representatively sampled among the national population of informal caregivers. This may reduce the reliability and generalizability of findings; however, robust analytical techniques that incorporate the complex survey weighting mitigates these concerns. Furthermore, these analytical techniques provide population estimates that are likely to be more representative than most prior research with caregivers, which has tended to disproportionately capture socioeconomically advantaged and non-Hispanic white individuals.</p>
        <p>Ultimately, internet- and technology-based education, communication, and intervention hold significant promise to help caregivers be more active and connected participants in their care recipients’, and their own, health care [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]. Although findings here suggest older caregivers, those with lower educational attainment, and those in poorer health are less likely to be using existing internet resources, it is not known why these individuals report less frequent use. Potential reasons explaining these discrepancies may include limited knowledge of how to use technology, privacy concerns, costs of technology, lack of awareness of available internet resources, perception that the effort of using such resources would not outweigh potential benefits, or preferring more traditional resources, like print information or communicating with doctors by phone or at clinic appointments. Moreover, little is known about how such resources fit into caregivers’ day-to-day lives or complement existing health care delivery systems [<xref ref-type="bibr" rid="ref12">12</xref>], factors that may relate to caregivers’ long-term use of and benefit from such tools. Continued research to understand caregivers’ evolving needs, preferences for meeting those needs, and how needs and preferences differ among caregivers is necessary to ensure all caregivers may optimally benefit from internet- and technology-based caregiving resources.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>Most caregivers are internet users, both for general purposes and specifically to access health information. Caregivers over the age of 65 years, those with a high school education or less, and those reporting poor health report less internet activity, suggesting these vulnerable caregivers may not be equally benefited by internet- and technology-based caregiver resources without careful consideration of factors that might facilitate their use. In addition, caregivers’ level of rurality, distress, and caregiving burden did not relate to their internet activity, suggesting these factors are not likely to impede caregivers’ access to internet- and technology-based resources. Overall, internet- and technology-based resources to support informal caregivers are likely to have significant reach, yet close attention to the accessibility of such resources by the most vulnerable caregivers must be paid to ensure equal benefit.</p>
        
      </sec>
    </sec>
  </body>
  <back>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">HINTS</term>
          <def>
            <p>Health Information National Trends Survey</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">NCI</term>
          <def>
            <p>National Cancer Institute</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>KMS was supported by NIH/NCI Cancer Center Support Grant P30 CA008748 (PI: Craig Thompson) and by the NIH/NCI T32 CA009461 (PI: Jamie Ostroff).</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
        
      </fn>
    </fn-group>
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