Published on in Vol 5, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32442, first published .
COVID-19’s Influence on Information and Communication Technologies in Long-Term Care: Results From a Web-Based Survey With Long-Term Care Administrators

COVID-19’s Influence on Information and Communication Technologies in Long-Term Care: Results From a Web-Based Survey With Long-Term Care Administrators

COVID-19’s Influence on Information and Communication Technologies in Long-Term Care: Results From a Web-Based Survey With Long-Term Care Administrators

Authors of this article:

Amy M Schuster1 Author Orcid Image ;   Shelia R Cotten1 Author Orcid Image

Original Paper

Department of Sociology, Anthropology, and Criminal Justice, Clemson University, Clemson, SC, United States

*all authors contributed equally

Corresponding Author:

Amy M Schuster, MSW, PhD

Department of Sociology, Anthropology, and Criminal Justice

Clemson University

132 Brackett Hall

Clemson, SC, 29634

United States

Phone: 1 904 294 7893

Email: amschus@clemson.edu


Background: The prevalence of COVID-19 in the United States led to mandated lockdowns for long-term care (LTC) facilities, resulting in loss of in-person contact with social ties for LTC residents. Though information and communication technologies (ICTs) can be used by LTC residents to support their socioemotional needs, residents must have access to ICTs to use them.

Objective: This study explored ICT access and use in LTC facilities and how LTC facilities adapted to try to enhance social connections for their residents during the COVID-19 pandemic.

Methods: LTC administrators in South Carolina (United States) were invited to complete a web-based survey exploring ICT access and use in LTC facilities and whether access and use changed as a result of the COVID-19 pandemic.

Results: LTC administrators (N=70, 12 nursing homes [NHs], and 58 assisted living facilities [ALFs]) completed the web-based survey. Since March 2020, a total of 53% (37/70) of the LTC facilities have purchased ICTs for residents’ use. ICTs have mainly been used for videoconferencing with family members (31/36, 86%), friends (25/36, 69%), and health care providers (26/36, 72%). NHs were 10.23 times more likely to purchase ICTs for residents’ use during the COVID-19 pandemic than ALFs (odds ratio 11.23, 95% CI 1.12-113.02; P=.04). Benefits of ICT use included residents feeling connected to their family members, friends, and other residents. Barriers to ICT use included staff not having time to assist residents with using the technology, nonfunctional technology, and residents who do not want to share technology.

Conclusions: Our results suggest that over half of the LTC facilities in this study were able to acquire ICTs for their residents to use during the COVID-19 pandemic. Additional research is needed to explore how residents adapted to using the ICTs and whether LTC facilities developed and adopted technology integration plans, which could help them be prepared for future situations that may affect LTC residents’ engagement and communication opportunities, such as another pandemic.

JMIR Aging 2022;5(1):e32442

doi:10.2196/32442

Keywords



As a result of the COVID-19 pandemic, nursing homes (NHs), assisted living facilities (ALFs), and other long-term care (LTC) facilities were required to restrict access to the public since March 2020 [1]. Many of these communities were not prepared to operate in this type of emergency as they were faced with personal protective equipment and staff shortages [2]. LTC facilities were even less prepared for the increased socioemotional needs, which arose for residents due to the loss of in-person contact with family and friends because of the mandated facility lockdown [3-5].

Loneliness and social isolation have long been salient issues for LTC facilities [6,7]. Change in residence, the death of family members and friends, and increased medical needs have been associated with increased loneliness and isolation among LTC residents [6,8-13]. As a way to address residents’ quality of life, LTC facilities abide by federal regulations to facilitate resident communication opportunities with people within and outside of the facility. For example, nursing homes are federally mandated to provide telephone access for each resident and are required to provide internet access if it is available at the facility [14]. In addition to following federal regulations, some LTC facilities have also started to incorporate information and communication technologies (ICTs) for residents’ use in the facility [15-17]. ICTs are devices and applications that provide the potential for unlimited connectivity and communication through technology such as desktop computers, laptops, tablets, smartphones, the internet, social media platforms, and videoconferencing [16,18]. Some segment of LTC residents can use ICTs, although residents’ age, education level, interest in technology, and level of care may influence ICT use (Seifert A and Cotton S, unpublished data, 2021) [19,20].

The advent of the COVID-19 pandemic and the mandated LTC lockdowns necessitated that LTC facilities determine ways to help residents stay engaged with their social ties [21] and continue to receive medical care [22-24]. Most studies examining how the COVID-19 pandemic has affected the lives of older adults have concentrated on community-dwelling adults. Among the COVID-19–related studies on LTC [25], the main focus has been on the medical circumstances (eg, cases, outbreaks, and personal protective equipment) pertaining COVID-19 [2,26-41], LTC employees [2,42-47], communication with family members [36,48], or provision of training on LTC issues related to the COVID-19 pandemic [24,49,50].

Among studies focusing on ICT access and use by LTC residents since the onset of the COVID-19 pandemic, almost none have examined ICT changes that facilities have implemented to address the potential socioemotional impacts on residents. ICTs have been used for telehealth purposes in medical screening and health care management of LTC residents [48,51-53]. A few studies have examined how LTC residents used ICTs for social purposes to communicate with those outside of the LTC facility. Telephone calls were reported by family members of LTC residents as the primary method of communication with LTC residents [54,55], followed by texting [54] and videoconferencing [54,55] during the mandatory lockdown. However, LTC residents reported that they preferred videoconferencing with family members rather than telephone calls [56]. Telephone calls were also employed in outreach interventions targeting LTC residents at risk for social isolation during the COVID-19 pandemic [57,58].

Three studies have assessed ICT availability in LTC facilities and use by LTC residents during the COVID-19 pandemic [3,48,59]. Montgomery et al [3] examined ICT use among a sample of 365 nursing home residents and found that 40% of the respondents owned a device, 47% indicated that their nursing home had computers or tablet devices, and 67% said that their nursing home offered free unlimited access to the internet via Wi-Fi. Ickert et al [59] evaluated the ICT resources in 10 care homes in Canada and found that all 10 care homes had tablet devices available for use. However, barriers to use existed, including the following: (1) age of the tablets, which could prevent videoconferencing apps from updating, or image disturbances during videoconferencing and (2) weak Wi-Fi infrastructure resulting in all videoconferencing having to occur in one area of the care home. Staff members were the critical link in facilitating video communication between residents and their family members. Staff members scheduled the videoconferencing visits, helped residents to the area in the home where they could participate in the videoconference call, assisted residents in using the tablets, and cleaned the tablet devices after each use. Marin et al [48] surveyed a staff member at each of the 46 ALFs in Rhode Island, which received donated tablets. Of the 46 ALFs, 11 of the staff members completed a web-based survey 2 weeks after the tablets were distributed. Survey responses indicated that the tablets were predominately used by residents to video chat with their family members (90.9%).

Though these 3 studies provide some insights into availability and use of ICTs in LTC facilities, they do not offer insights into how LTC facilities adapted during the pandemic to lessen potential social isolation and loneliness among their residents. To address this deficiency, this study explored (1) how LTC institutions modified technology access in their facilities and (2) the challenges that arose with these adaptations.


Recruitment and Data Collection

At the onset of the COVID-19 pandemic, the state of South Carolina placed contact limitations for residents of NHs and ALFs (known as community residential care facilities in South Carolina) [60]. Hence, we included both NHs and ALFs in this study as they experienced the same government-mandated restrictions.

LTC administrators in South Carolina were invited to complete a web-based survey from November to December 2020 to explore ICT access and use in LTC facilities and whether access and use changed as a result of the COVID-19 pandemic. Email contact information for 193 NH and 496 ALF administrators was obtained from the South Carolina Department of Health and Environmental Control (DHEC) website [61]. LTC administrators were recruited to participate in the Qualtrics survey through email, which included a secure weblink to access the survey. After sending the initial email request for participation, follow-up emails were sent at 3 days and 13 days. The Qualtrics survey was composed of 20 pages with 1-3 questions per page, there were adaptive questions based on the response to other items, and the survey took approximately 20 minutes to complete. During the survey, participants were able to review and change their answers using a back button. In total, 70 LTC administrators (12 NHs and 58 ALFs; 1 participant per site) completed the Qualtrics survey. Informed consent, which included the estimated time to complete the survey, data protection, the purpose of the study, and the principal investigator, was reviewed prior to the start of the survey. Participation was voluntary, and LTC administrators who chose to participate in the study clicked “yes” in agreement and began the survey. No incentives were offered for participation. This study was reviewed and approved by the university institutional review board.

Measures

Facility Characteristics

Participants were first asked general information about their LTC facility. The type of LTC facility was determined by the name of the facility, “What is the name of your facility?” and which type of LTC facility the name was associated with on the DHEC website [61]. Where the facility was located in South Carolina was assessed by an open-ended question, “In which city is your facility located?” The number of employees was measured with 2 questions: “How many full-time employees does your facility have?” and “How many part-time employees does your facility have?” Response options for both questions ranged from 1 to 100 in intervals of 1 with the final response option of “more than one-hundred.” The bed count was assessed numerically with the question, “How many beds does your facility have?” and then converted into size groups (>50 beds, 51-149 beds, 150 or more beds) following standard categorization [62]. Bed occupancy was measured by two questions: “What percentage of beds was occupied in February 2020, prior to COVID-19, in your facility?” and “What is the percentage of beds occupied now in your facility?” For both questions, response options ranged from 5 to 100 in intervals of 5. Facility ownership was assessed by the measure, “What is the ownership type of your facility?” with 3 response options (for profit, nonprofit, and federal or state).

ICT Access and Use

Facility technology preparedness was measured with the question, “How technologically prepared was your organization to address the social distancing need for residents as a result of COVID19?” Response options included the following: “Fully prepared,” “Mostly prepared,” “Somewhat prepared,” and “Not prepared.” We then assessed the facility technology capabilities with response options of “Yes,” “No,” or “Do not know”, to the following questions: “Does your facility have internet access?” “Does your facility have WiFi?” “Are residents able to access the internet?” “Are residents able to access WiFi?” and “Does your facility have a dedicated employee who helps residents with technology needs/issues?” Technology provided by the facility for residents’ use, prior to the COVID-19 pandemic, was assessed with one question, “Prior to February 2020, which type of technology did your facility provide for residents’ use?” Response options included the following: “TV,” “Radio,” “Desktop computers,” “Laptops,” “Smartphones,” and “Tablets”; respondents could select all that applied. Residents’ technology use was measured with a “Yes” or “No” response to “My residents use these technologies: Laptops, tablets, and smartphones.” The participants who responded “No” were then prompted with the follow-up question, “Why do you think that residents in your facility do not use laptops/tablets/smartphones?” Response options included, selecting all that apply, the following: “Do not have a need,” “Poor WiFi/bandwidth capability/capacity,” “Physical infrastructure of building,” “Cost is prohibitive,” or “Other (please specify).”

Changes in Facility ICTs, Access, and Use Since the Onset of the COVID-19 Pandemic

Next, we asked technology-related questions about use in the LTC facility since the COVID-19 pandemic. Technology spending was assessed through four questions: (1) “How much did your organization adjust its technology spending for residents due to COVID-19?” with response options including “Increased spending by more than 50%,” “Increased spending by 25-50%,” “Increased spending less than 25%,” “No change,” and “Decreased spending”; (2) “Since February 2020, has your facility purchased new technology for residents’ use?” with response options including “Yes” and “No.” The participants who responded with “Yes” were then prompted with four follow-up questions: “Which technology has been purchased for residents’ use?” with response options including “Laptops,” “Tablets,” “Cellphones,” “Smartphones,” or “Other (please specify)”; and “What type(s) of funds were used to purchase these devices?” with response options including (select all that apply) “Donation,” “the CMS COVID-19 Communicative Technology grant,” “Facility funds,” or “Other (please specify).” An open-ended question was asked: “Why was this new technology purchased?” Lastly, we asked, “How did residents learn to use this technology?” with response options including “Staff member helped them learn,” “Learned on their own,” “Another resident helped them learn,” and “Other (please specify).” New technology used by residents was assessed through three questions: (1) “How has this technology provided by your organization been used by residents?” with response options including (select all that apply) “Playing games,” “Video conferencing,” “Email,” “Searching for information,” “Shopping,” and “Other (please specify).” The number of residents using the technology was measured by two questions: “What percentage of residents have used this technology?” and “What percentage of residents have been unable to use the technology provided by your organization due to health or other impairments?” with response options for both questions ranging from 5 to 100, in intervals of 5.

Benefits and Barriers to ICT Use

Finally, resident changes since using technology were measured with two questions including (1) “Have there been any positive changes since residents started to use the new technology?” with response options including (select all that apply) “Decreased negative behaviors from residents,” “Residents socializing more,” “Residents feel connected to family members,” “Residents feel connected to friends,” “Family members feel connected to other residents,” and “Other (please specify)” and (2) “Have there been any negative changes since residents started to use the new technology?” with response options including (select all that apply) “Staff don’t have time to assist residents with technology,” “Broken technology,” “Stolen technology,” “Infection spread due to sharing technology,” “Residents do not want to share technology,” and “Other (please specify).”

Analysis

Questionnaires that had been completed up to 73% or more were included in the analysis. Given the exploratory nature of this study and the small sample size, the data were initially analyzed descriptively. A binary logistic regression model was used to investigate whether facility characteristics (ie, type, ownership, and bed size) influenced ICTs purchased during the COVID-19 pandemic. In line with the aim of this study, exploring ICT changes in LTC facilities during the pandemic, the dependent variable was the binary measure that assessed whether facilities purchased ICTs for residents’ use during the COVID-19 pandemic.


Facility Characteristics

The LTC facilities (N=70) were located throughout South Carolina in the Upstate (25/70, 36%), Low Country (18/70, 26%), Midlands (15/70, 21%), and Pee Dee regions (12/70, 17%) (Table 1 and Figure 1). The majority of the facilities were for-profit ownership (54/70, 77%). In total, 58 of the facility administrators that responded were from ALFs, with the remaining 12 administrators being from NHs. In total, 44% (31/70) of the facilities had a medium bed size (26-100 beds). Half of the ALFs (29/58) had 25-100 beds, while 83% (10/12) of the NHs had greater than 100 beds. Prior to the COVID-19 pandemic, administrators reported that, on average, 82% (SD 24.4%) of the beds were occupied (Table 2). Since the COVID-19 pandemic, administrators reported, on average, 74% (SD 23.4%) of the beds have been occupied. The facilities had, on average, 37 full-time employees (SD 35.6) and 14 part-time employees (SD 31.1). Most of the administrators (37/70, 57%) thought that their facility was at least mostly technologically prepared to address the social distancing needs for their residents that arose as a result of the COVID-19 pandemic.

Table 1. Facility characteristics.
CharacteristicsTotal (n=70), n (%)Assisted living facilities (n=58), n (%)Nursing homes (n=12), n (%)
Region in South Carolina

Low Country18 (26)17 (29)1 (9)

Midlands15 (21)12 (21)3 (25)

Pee Dee12 (17)8 (14)4 (33)

Upstate25 (36)21 (36)4 (33)
Ownership type

For profit54 (77)44 (76)10 (83)

Nonprofit13 (19)11 (19)2 (17)

Federal or state3 (4)3 (5)0
Bed size

Small (fewer than 25 beds)22 (31)22 (38)0

Medium (26-100 beds)31 (44)29 (50)2 (17)

Large (101 or more beds)17 (25)7 (12)10 (83)
Facility technology preparednessa

Fully prepared13 (20)11 (20)2 (20)

Mostly prepared24 (37)21 (39)3 (30)

Somewhat prepared23 (35)18 (33)5 (50)

Not prepared5 (8)5 (9)0

aMissing data from 3 assisted living facilities and 2 nursing homes.

Figure 1. Proportion of long-term care facilities participating in this study by regions in South Carolina, United States.
View this figure
Table 2. Additional facility characteristics.
CharacteristicsScore, mean (SD); range
Percent of beds occupied prior to COVID-19

Total82.21 (24.4); 5 to 100

Assisted living facilities80.34 (26.4); 5 to 100

Nursing homes91.25 (4.8); 80 to 95
Percent of beds occupied during COVID-19

Total73.93 (23.4); 5 to 100

Assisted living facilities73.73 (25.5); 5 to 100

Nursing homes75.83 (8.2); 60 to 90
Full-time employees

Total37.5 (35.6); 1 to ≥101

Assisted living facilities25.6 (26.1); 1 to ≥101

Nursing homes95 (9.6); 75 to ≥101
Part-time employeesa

Totala14.5 (19.1); 1 to 76

Assisted living facilitiesa11.7 (29.6); 1 to ≥101

Nursing homes44.2 (22); 15 to 76

aMissing responses from 7 assisted living facilities.

ICT Access and Use

Most of the facilities provided internet (69/70, 99%) and Wi-Fi (66/70, 94%) access, although not all of them allowed residents to access the internet (59/69, 86% compared to 99% who had internet access) and Wi-Fi (57/66, 86% compared to 94% who had Wi-Fi access). Prior to February 2020, the top 2 ICTs provided by LTC facilities for residents’ use were televisions (65/67, 97%) and radios (53/67, 79%; Table 3). In total, 33 of the 70 (47%) facilities have a dedicated employee to provide ICT support to residents. In total, 59% (38/64) of LTC administrators reported that their residents used laptops, 78% (50/64) of LTC administrators reported that their residents used tablet devices, and 96% (61/64) of LTC administrators reported that their residents used smartphones. Of the LTC administrators who reported that their residents did not use laptops, tablet devices, or smartphones, the predominant reasons for nonuse were lack of need (18/35, 51%) or prohibitive cost (7/35, 20%).

Table 3. Access to and use of information and communication technologies.
Technologies Total (N=70), n (%)Assisted living facilities (n=58), n (%)Nursing homes (n=12), n (%)
Internet or Wi-Fi

Facility has internet access69 (99)57 (98)12 (100)

Residents able to access the internet59 (86)47 (82)12 (100)

Facility has Wi-Fi66 (94)54 (93)12 (100)

Residents able to access the Wi-Fi57 (86)46 (85)11 (92)
Information and communication technologies available for residents to usea

Television65 (97)55 (98)10 (91)

Radio53 (79)47 (84)6 (55)

Tablet device24 (36)19 (34)5 (45)

Smartphone20 (30)17 (30)3 (27)

Desktop computer20 (30)15 (27)5 (45)

Laptop17 (25)12 (21)5 (45)
Dedicated employee to help residents with information and communication technologies33 (47)27 (48)6 (50)
Information and communication technologies that residents useb

Smartphones61 (96)49 (94)12 (100)

Tablet devices50 (78)38 (73)12 (100)

Laptops38 (59)27 (52)11 (92)
Reason why residents do not use information and communication technologies

Do not have a need18 (51)17 (50)1 (100)

Cost is prohibitive7 (20)7 (21)0

Poor Wi-Fi, bandwidth capability, or capacity6 (2)2 (6)0

Other (cognitive ability, do not know how, physical disabilities, not supplied by family, or no interest)11 (31)11 (32)0

aMissing responses from 2 assisted living facilities and 1 nursing home.

bMissing responses from 6 assisted living facilities.

Changes in Facility ICTs, Access, and Use Since the Onset of the COVID-19 Pandemic

Since the onset of the COVID-19 pandemic and the subsequent lockdown of LTC facilities, 61% (43/70) of the LTC administrators reported an increase in technology spending at their facility (Table 4). A majority (37/70, 53%) of the LTC facilities reported purchasing ICTs for their residents. The main way the ICTs were purchased was by using facility funds (29/37, 78%). Though Centers for Medicare and Medicaid Services funding was provided for COVID-19 communicative technology grants for NHs, only 45% (5/11) of the nursing home administrators reported using this source of funding to purchase ICTs for their residents. ALF administrators also reported using personal funds, donations, and a small business loan. The top three ICTs purchased by LTC administrators for their residents (nonmutually exclusive) were tablet devices (27/37, 73%), smartphones (8/37, 22%), and laptops (8/37, 22%). In an open-ended question, 35 of the 37 administrators who purchased ICTs during the COVID-19 pandemic reported that the primary reason for purchasing ICTs was to help residents communicate with their family members. Additional reasons for purchasing ICTs included enabling telehealth and providing a secure communication channel for their staff.

Table 4. Changes in access to and use of information and communication technologies at facilities since the onset of the COVID-19 pandemic.
Changes Total (N=70), n (%)Assisted living facilities (n=58), n (%)Nursing homes (n=12), n (%)
Change in technology spending

No change27 (39)27 (47)0

Increased spending less than 25%20 (29)16 (28)4 (33)

Increased spending by 25%-50%15 (21)10 (17)5 (42)

Increased spending by more than 50%8 (11)5 (9)3 (25)
Facility purchased information and communication technologies for residents’ use

Yes37 (53)26 (45)11 (92)

No33 (47)32 (55)1 (8)
Among participants who reported purchasing information and communication technologies for residents’ use:


Funds used to purchase information and communication technologies



Facility funds29 (78)21 (81)8 (73)


The Centers for Medicare and Medicaid Services COVID-19 communicative technology grant5 (14)05 (45)


Donations3 (8)3 (12)0


Other (personal funds, small business loans, and residents provided for self)4 (11)4 (15)0

Information and communication technologies purchased


Tablet devices27 (73)16 (62)11 (100)


Smartphones8 (22)6 (23)2 (18)


Laptops8 (22)7 (27)1 (9)


Cellphones1 (3)1 (4)0


Other (Facebook portal, Amazon Echo, Nucleus, Eversound technology, headsets, cords to connect tablets and phones to televisions, and smart televisions)8 (22)8 (31)0

How information and communication technologies have been used by residentsa


Videoconferencing with family members31 (86)21 (81)10 (100)


Videoconferencing with healthcare providers26 (72)19 (73)7 (70)


Videoconferencing with friends25 (69)16 (62)9 (90)


Playing games10 (28)8 (31)2 (20)


Shopping9 (25)6 (23)3 (30)


Searching for information8 (22)6 (23)2 (20)


Email4 (11)2 (8)2 (20)


Other (Pleasure, Telehealth)3 (8)3 (12)0

How residents learned to use information and communication technologiesa


Staff-assisted35 (97)25 (96)10 (100)


Self-taught6 (17)3 (12)3 (30)


Other resident–assisted4 (11)3 (12)1 (10)


Other1 (3)01 (10)


Do not know1 (3)1 (4)0

aMissing response from one nursing home.

Administrators reported that, on average, 42% (SD 30.4%) of the residents used the technology provided by facilities and 25% (SD 26.4%; Table 5) of the residents were not able to use the technology provided by the facility owing to health or other impairments. Per the LTC administrators, residents have predominately used the newly purchased ICTs for videoconferencing with family members (31/36, 86%), health care providers (26/36, 72%), and friends (25/36, 69%). Residents have also used the ICTs for entertainment such as playing games (10/36, 28%), shopping (9/36, 25%), and searching for information (8/36, 22%). Though most of the LTC facilities did not have a dedicated person to assist residents with technology use, administrators reported that residents mainly learned to use the ICTs with help from LTC staff members (35/36, 97%).

Table 5. Additional changes in access to and use of information and communication technologies among facilities since the onset of the COVID-19 pandemic.
Additional changes Residents (%), mean (SD); range
Used the technology provided by the facility42.6 (30.4); 0-100
Unable to use the technology provided by the facility owing to health or other impairments25.1 (26.4); 0-95

Benefits of and Barriers to ICT Use

The most commonly reported benefits reported by LTC administrators were that using ICTs helped residents feel connected to their family members (26/34, 77%) and friends (16/34, 47%), and using ICTs allowed the residents to socialize more with others (11/34, 32%; Table 6). Administrators noted barriers to ICT use, such as staff not having time to assist residents with technology, broken technology, and residents who did not want to share technology, although these barriers were each reported by <25% (9/34) of respondents.

Table 6. Benefits of and Barriers to the use of information and communication technologies.
 Total (N=34), n (%)Assisted living facilities (n=24), n (%)Nursing homes (n=10), n (%)
Benefits of using information and communication technologies

Residents feel connected to family members26 (77)17 (71)9 (90)

Residents feel connected to friends16 (47)11 (46)5 (50)

Residents are socializing more11 (32)9 (38)2 (20)

Decreased negative behaviors from residents7 (21)6 (25)1 (10)

Residents feel connected to other residents5 (15)4 (17)1 (10)

Other (eased some anxiety for residents and family)2 (6)2 (8)0
Barriers to using information and communication technologies

Staff do not have time to assist residents with technology5 (15)2 (8)3 (30)

Broken technology4 (12)2 (8)2 (20)

Residents do not want to share technology2 (6)1 (4)1 (10)

Other (not enough devices and staff to help with tech use and residents with dementia)3 (9)2 (8)1 (10)

Results of Binary Logistic Regression Analysis: Relationship Between ICT Purchase During the COVID-19 Pandemic and Facility Characteristics

Binary logistic regression analysis suggest that NHs, compared to ALFs, were 10.23 times more likely to purchase ICTs for residents’ use during the COVID-19 pandemic (odds ratio 11.23, 95% CI 1.12-113.02; P=.04). None of the other facility characteristics were related to whether LTC facilities purchased ICTs. The overall results of binary regression analysis for ICTs purchased during the COVID-19 pandemic are shown in Table 7.

Table 7. Results of binary logistic regression analysis for the relationship between the purchase of information and communication technologies and facility characteristics.
 Odds ratio (SE; 95% CI)P value
Type (nursing home)11.23 (1.18; 1.12-113.02).04
Ownership

For profit1.85 (1.28; 0.15- 22.87).63

Nonprofit0.72 (1.39; 0.05-10.82).81
Bed size1.00 (0.01; 0.99-1.01).68

Principal Findings

This study is unique in that it presents an institutional perspective regarding how LTC facilities attempted to use ICTs to help address the socioemotional needs of their residents during the COVID-19 pandemic. Although there were some LTC facilities that, prior to the pandemic, provided ICTs for residents’ use, corroborating the findings from other prior studies [15,17,19], the advent of the lockdowns led many of the South Carolina facilities in this study to purchase ICTs.

NH administrators had higher odds of reporting that they purchased ICTs than ALF administrators. However, neither facility size nor ownership type were related to whether ICTs were purchased. Larger samples with more diversity in facility size, particularly among NHs, as well as other facility characteristics, might reveal differences that were obscured due to the homogeneity in NH respondent facility sizes in this study.

Since the onset of the COVID-19 pandemic, most of the LTC facilities in this study purchased ICTs, primarily tablet devices (27/37, 73%), to help enhance resident connection with social ties during the pandemic. Less than a quarter of the LTC facilities purchased smartphones or laptops for residents to use to communicate with friends, family, and health care providers during the lockdown. Although most of the LTC facilities did not have dedicated staff to assist residents in using ICTs, more than 95% (35/37) of the administrators in this study reported that staff helped residents learn to use ICTs during the pandemic to communicate with social ties and related reasons. This suggests that LTC facilities should consider having staff available to assist residents with using ICTs, thus confirming what other studies have suggested [16,18].

Though the LTC administrators in this study reported ICT use by their residents primarily for communication with their social ties, the majority (26/36; 72%) reported that residents used the ICTs for telehealth purposes. Given the high risk of COVID-19 among older adults, telehealth could be an important way for older adults to continue health care with minimal risks. While research is needed to explore how telehealth is used by LTC facilities and LTC residents in more detail, interventions are also needed to help older adults learn to use ICTs to effectively use in general and for telehealth services in particular [16,18].

Strengths and Limitations

This is one of the few studies examining administrators’ technology adaptations during the COVID-19 pandemic. The results of this study illustrate the importance of staff members for helping residents to be able to use ICTs, as well as the fact that almost none of the facilities had a dedicated staff person to assist with technology needs at the time of this study. This suggests that facilities should take into account the technological needs of their residents and provide ongoing support to help them maintain their ICT use; prior research has noted the importance of ongoing technical support for older adults to be able to continue to use ICTs over time [16,18,20].

While this study sheds light on ICTs purchased and used in LTC facilities since the start of the pandemic, the data were collected from LTC facilities in South Carolina, which limits the generalizability of this study. Consistent with the LTC industry, our sample is predominately for profit LTC facilities. However, the majority bed size for both the ALFs and NHs in this study is not representative of the LTC facilities in South Carolina or the United States. Although 50% (29/58) of the ALFs in this study were medium-sized facilities (26-100 beds), the majority of ALFs in the United States (65%) and in South Carolina (46%) are small facilities (25 beds or less). In addition, 83% (10/12) of the NHs in this study were large facilities (101 beds or more), while the majority (64%) of NHs in the United States and in South Carolina (49%) are medium-sized facilities (26-100 beds) [63]. We acknowledge that the number of NHs that participated in the study was very small (n=12). Given the small number of NH administrators in the sample, the results for NHs should be taken with caution. It may be the case that a selection effect occurred with NHs who utilized ICTs in their facilities being more likely to respond to our ICT focused survey. Alternatively, perhaps larger NHs are more likely to have ICT access for their residents.

We found that prior to February 2020, there were NH administrators who reported that their residents used laptops (11/12, 92%), tablets (12/12, 100%), or smartphones (12/12, 100%). However, the number of NH administrators who reported residents having these was very small (n=12). Assisted living administrators also noted that prior to February 2020, their residents used laptops (27/58, 52%), tablet devices (38/58, 73%), and smartphones (49/58, 94%). Given the presence of greater health conditions among NH residents [64,65], compared to ALF residents, we would have expected that smaller percentages of NH residents would have been reported to use ICTs than what was reported in this study.

While the exploratory results of this study are informative in helping to illustrate the range of actions taken and administrators’ perceptions of these ICT use impacts on residents, additional data with larger and more diverse samples of LTC administrators as well as other staff members and residents are needed to ascertain if and how various types of LTC facilities adapted to the COVID-19 pandemic to help residents maintain connections to their social ties. Future research should investigate the types and degree of ICTs available for residents’ use in a national sample of LTC facilities, as well as identifying how LTC administrators adapted the ICTs available to LTC residents.

Conclusions

LTC facilities were not adequately prepared to support the socioemotional needs of their residents in the event of a federally mandated facility lockdown [3]. ICT use can be a useful tool to help LTC residents maintain contact with social ties either during a pandemic or during nonpandemic times. However, LTC facilities and residents must have ICTs available to use, residents must be skilled in using ICTs, and support must be available to ensure continued use for residents to reap the benefits of their use. We encourage LTC facilities to develop technology integration plans to prepare for future situations that may affect LTC residents’ interaction and communication opportunities, such as another pandemic, and to facilitate residents’ use in the present time.

Authors' Contributions

SRC and AMS designed the study. AMS analyzed the data. All authors contributed to and approved the final manuscript.

Conflicts of Interest

None declared.

  1. Guidance for Infection Control and Prevention of Coronavirus Disease 2019 (COVID-19) in nursing homes (REVISED). U.S. Centers for Medicare & Medicaid Services. 2020 Mar 13.   URL: https:/​/www.​cms.gov/​medicareprovider-enrollment-and-certificationsurveycertificationgeninfopolicy-and/​guidance-infection-control-and-prevention-coronavirus-disease-2019-covid-19-nursing-homes-revised [accessed 2021-12-23]
  2. McGarry BE, Grabowski DC, Barnett ML. Severe Staffing And Personal Protective Equipment Shortages Faced By Nursing Homes During The COVID-19 Pandemic. Health Aff (Millwood) 2020 Oct;39(10):1812-1821 [FREE Full text] [CrossRef] [Medline]
  3. Montgomery A, Slocum S, Stanik C. Experiences of Nursing Home Residents During the Pandemic. Altarum. 2020.   URL: https:/​/altarum.​org/​sites/​default/​files/​uploaded-publication-files/​Nursing-Home-Resident-Survey_Altarum-Special-Report_FINAL.​pdf [accessed 2021-12-23]
  4. Piette J, Solway E, Singer D, Kirch M, Kullgren J, Malani P. Loneliness Among Older Adults Before and During the COVID-19 Pandemic. University of Michigan National Poll on Healthy Aging. 2020.   URL: https:/​/www.​healthyagingpoll.org/​reports-more/​report/​loneliness-among-older-adults-and-during-covid-19-pandemic [accessed 2021-12-23]
  5. Van der Roest HG, Prins M, van der Velden C, Steinmetz S, Stolte E, van Tilburg TG, et al. The Impact of COVID-19 Measures on Well-Being of Older Long-Term Care Facility Residents in the Netherlands. J Am Med Dir Assoc 2020 Nov;21(11):1569-1570 [FREE Full text] [CrossRef] [Medline]
  6. Prieto-Flores M, Forjaz MJ, Fernandez-Mayoralas G, Rojo-Perez F, Martinez-Martin P. Factors associated with loneliness of noninstitutionalized and institutionalized older adults. J Aging Health 2011 Feb 29;23(1):177-194. [CrossRef] [Medline]
  7. Victor C, Scambler S, Bond J. The Social World of Older People: Understanding Loneliness and Social Isolation in Later Life, Open University Press, McGraw Hill Education, Maidenhead, UK, 272 pp., pbk £22.99, ISBN 13: 978 0 335 21521 8. Ageing Soc 2009 Sep 18;29(7):1161-1163. [CrossRef]
  8. Hawkley LC, Hughes ME, Waite LJ, Masi CM, Thisted RA, Cacioppo JT. From social structural factors to perceptions of relationship quality and loneliness: the Chicago health, aging, and social relations study. J Gerontol B Psychol Sci Soc Sci 2008 Nov;63(6):S375-S384 [FREE Full text] [CrossRef] [Medline]
  9. Savikko N, Routasalo P, Tilvis R, Strandberg T, Pitkälä KH. Predictors and subjective causes of loneliness in an aged population. Arch Gerontol Geriatr 2005;41(3):223-233. [CrossRef] [Medline]
  10. Theeke LA. Sociodemographic and health-related risks for loneliness and outcome differences by loneliness status in a sample of U.S. older adults. Res Gerontol Nurs 2010 Apr;3(2):113-125. [CrossRef] [Medline]
  11. Barbosa Neves B, Sanders A, Kokanović R. "It's the worst bloody feeling in the world": Experiences of loneliness and social isolation among older people living in care homes. J Aging Stud 2019 Jun;49:74-84. [CrossRef] [Medline]
  12. Paque K, Bastiaens H, Van Bogaert P, Dilles T. Living in a nursing home: a phenomenological study exploring residents' loneliness and other feelings. Scand J Caring Sci 2018 Dec;32(4):1477-1484. [CrossRef] [Medline]
  13. Jansson A, Muurinen S, Savikko N, Soini H, Suominen M, Kautiainen H, et al. Loneliness in nursing homes and assisted living facilities: Prevalence, associated factors and prognosis. J Nurs Home Res 2017;3:43-39. [CrossRef]
  14. Compilation Of The Social Security Laws. Social Security.   URL: https://www.ssa.gov/OP_Home/comp2/F100-203.html [accessed 2021-12-23]
  15. Bollinger N. Internet access for residents: Its time has come. Nursing Homes 2001 Apr 01 [FREE Full text]
  16. Cotten S, Yost E, Berkowsky R, Winstead V, Anderson W. Designing Technology Training for Older Adults in Continuing Care Retirement Communities. Boca Raton, FL: CRC Press; Dec 01, 2016.
  17. Tak SH, Beck C, McMahon E. Computer and internet access for long-term care residents: perceived benefits and barriers. J Gerontol Nurs 2007 May;33(5):32-40. [CrossRef] [Medline]
  18. Cotten SR. Technologies and aging: understanding use, impacts, and future needs. In: Ferraro KF, Carr D, editors. Handbook of Aging and the Social Sciences (9th edition). Amsterdam: Elsevier; 2021:373-392.
  19. Seifert A, Cotten SR. In care and digitally savvy? Modern ICT use in long-term care institutions. Educ Gerontol 2020 Jun 16;46(8):473-485. [CrossRef]
  20. Zamir S, Hennessy C, Taylor A, Jones R. Intergroup 'Skype' Quiz Sessions in Care Homes to Reduce Loneliness and Social Isolation in Older People. Geriatrics (Basel) 2020 Nov 11;5(4):90 [FREE Full text] [CrossRef] [Medline]
  21. Seifert A, Cotten S, Xie B. A Double Burden of Exclusion? Digital and Social Exclusion of Older Adults in Times of COVID-19. J Gerontol B Psychol Sci Soc Sci 2021 Feb 17;76(3):e99-e103 [FREE Full text] [CrossRef] [Medline]
  22. Zhou X, Snoswell CL, Harding LE, Bambling M, Edirippulige S, Bai X, et al. The Role of Telehealth in Reducing the Mental Health Burden from COVID-19. Telemed J E Health 2020 Apr;26(4):377-379. [CrossRef] [Medline]
  23. Levere M, Rowan P, Wysocki A. The Adverse Effects of the COVID-19 Pandemic on Nursing Home Resident Well-Being. J Am Med Dir Assoc 2021 May;22(5):948-954.e2 [FREE Full text] [CrossRef] [Medline]
  24. Harris DA, Archbald-Pannone L, Kaur J, Cattell-Gordon D, Rheuban KS, Ombres RL, et al. Rapid Telehealth-Centered Response to COVID-19 Outbreaks in Postacute and Long-Term Care Facilities. Telemed J E Health 2021 Jan;27(1):102-106. [CrossRef] [Medline]
  25. Byrd W, Salcher-Konrad M, Smith S, Comas-Herrera A. What Long-Term Care Interventions and Policy Measures Have Been Studied During the Covid-19 Pandemic? Findings from a Rapid Mapping Review of the Scientific Evidence Published During 2020. JLTC 2021 Dec 09(2021):423. [CrossRef]
  26. Abrams HR, Loomer L, Gandhi A, Grabowski DC. Characteristics of U.S. Nursing Homes with COVID-19 Cases. J Am Geriatr Soc 2020 Aug;68(8):1653-1656 [FREE Full text] [CrossRef] [Medline]
  27. An C, Lim H, Kim D, Chang JH, Choi YJ, Kim SW. Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study. Sci Rep 2020 Oct 30;10(1):18716 [FREE Full text] [CrossRef] [Medline]
  28. Bernabeu-Wittel M, Ternero-Vega J, Nieto-Martín MD, Moreno-Gaviño L, Conde-Guzmán C, Delgado-Cuesta J, et al. Effectiveness of a On-site Medicalization Program for Nursing Homes With COVID-19 Outbreaks. J Gerontol A Biol Sci Med Sci 2021 Feb 25;76(3):e19-e27 [FREE Full text] [CrossRef] [Medline]
  29. Caspi G, Chen J, Liverant-Taub S, Shina A, Caspi O. Heat Maps for Surveillance and Prevention of COVID-19 Spread in Nursing Homes and Assisted Living Facilities. J Am Med Dir Assoc 2020 Jul;21(7):986-988.e1 [FREE Full text] [CrossRef] [Medline]
  30. Chen MK, Chevalier JA, Long EF. Nursing home staff networks and COVID-19. Proc Natl Acad Sci U S A 2021 Jan 07;118(1):e2015455118 [FREE Full text] [CrossRef] [Medline]
  31. Echeverría P, Mas Bergas MA, Puig J, Isnard M, Massot M, Vedia C, et al. COVIDApp as an Innovative Strategy for the Management and Follow-Up of COVID-19 Cases in Long-Term Care Facilities in Catalonia: Implementation Study. JMIR Public Health Surveill 2020 Jul 17;6(3):e21163 [FREE Full text] [CrossRef] [Medline]
  32. Lau-Ng R, Caruso LB, Perls TT. COVID-19 Deaths in Long-Term Care Facilities: A Critical Piece of the Pandemic Puzzle. J Am Geriatr Soc 2020 Sep;68(9):1895-1898 [FREE Full text] [CrossRef] [Medline]
  33. Li Y, Temkin-Greener H, Shan G, Cai X. COVID-19 Infections and Deaths among Connecticut Nursing Home Residents: Facility Correlates. J Am Geriatr Soc 2020 Sep;68(9):1899-1906 [FREE Full text] [CrossRef] [Medline]
  34. Mills WR, Buccola JM, Sender S, Lichtefeld J, Romano N, Reynolds K, et al. Home-Based Primary Care Led-Outbreak Mitigation in Assisted Living Facilities in the First 100 Days of Coronavirus Disease 2019. J Am Med Dir Assoc 2020 Jul;21(7):951-953 [FREE Full text] [CrossRef] [Medline]
  35. Iritani O, Okuno T, Hama D, Kane A, Kodera K, Morigaki K, et al. Clusters of COVID-19 in long-term care hospitals and facilities in Japan from 16 January to 9 May 2020. Geriatr Gerontol Int 2020 Jul;20(7):715-719 [FREE Full text] [CrossRef] [Medline]
  36. Shrader CD, Assadzandi S, Pilkerton CS, Ashcraft AM. Responding to a COVID-19 Outbreak at a Long-Term Care Facility. J Appl Gerontol 2021 Jan;40(1):14-17 [FREE Full text] [CrossRef] [Medline]
  37. Stall NM, Farquharson C, Fan-Lun C, Wiesenfeld L, Loftus CA, Kain D, et al. A Hospital Partnership with a Nursing Home Experiencing a COVID-19 Outbreak: Description of a Multiphase Emergency Response in Toronto, Canada. J Am Geriatr Soc 2020 Jul;68(7):1376-1381 [FREE Full text] [CrossRef] [Medline]
  38. Sugg MM, Spaulding TJ, Lane SJ, Runkle JD, Harden SR, Hege A, et al. Mapping community-level determinants of COVID-19 transmission in nursing homes: A multi-scale approach. Sci Total Environ 2021 Jan 15;752:141946 [FREE Full text] [CrossRef] [Medline]
  39. Sun C, Zuccarelli E, Zerhouni EGA, Lee J, Muller J, Scott K, et al. Predicting Coronavirus Disease 2019 Infection Risk and Related Risk Drivers in Nursing Homes: A Machine Learning Approach. J Am Med Dir Assoc 2020 Nov;21(11):1533-1538.e6 [FREE Full text] [CrossRef] [Medline]
  40. Stow D, Barker R, Matthews F, Hanratty B. National early warning scores (NEWS/NEWS2) and COVID-19 deaths in care homes: a longitudinal ecological study. medRxiv. Preprint posted online June 17, 2020 2020. [CrossRef]
  41. Konetzka RT, White EM, Pralea A, Grabowski DC, Mor V. A systematic review of long-term care facility characteristics associated with COVID-19 outcomes. J Am Geriatr Soc 2021 Oct;69(10):2766-2777 [FREE Full text] [CrossRef] [Medline]
  42. Britton B. Case study: WhatsApp support through the COVID-19 pandemic. Nursing and Residential Care 2020 Jul 02;22(7):1-2. [CrossRef]
  43. Freidus A, Shenk D. "It Spread Like a Wildfire": Analyzing Affect in the Narratives of Nursing Home Staff During a COVID-19 Outbreak. AA 2020 Dec 14;41(2):199-206. [CrossRef]
  44. Gorges RJ, Konetzka RT. Staffing Levels and COVID-19 Cases and Outbreaks in U.S. Nursing Homes. J Am Geriatr Soc 2020 Nov;68(11):2462-2466 [FREE Full text] [CrossRef] [Medline]
  45. Miller V, Fields N, Anderson K, Kusmaul N, Maxwell C. Nursing Home Social Workers Perceptions of Preparedness and Coping for COVID-19. J Gerontol B Psychol Sci Soc Sci 2021 Mar 14;76(4):e219-e224 [FREE Full text] [CrossRef] [Medline]
  46. Wolf C, Freidus A, Shenk D. Voices from the frontlines in longterm care during COVID-19: Narratives of direct care workers. Innov Aging 2020:4. [CrossRef]
  47. Siu HY, Kristof L, Elston D, Hafid A, Mather F. A cross-sectional survey assessing the preparedness of the long-term care sector to respond to the COVID-19 pandemic in Ontario, Canada. BMC Geriatr 2020 Oct 22;20(1):421 [FREE Full text] [CrossRef] [Medline]
  48. Gallo Marin B, Wasserman P, Cotoia J, Singh M, Tarnavska V, Gershon L, et al. Experiences of Rhode Island Assisted Living Facilities in Connecting Residents with Families through Technology During the COVID-19 Pandemic. R I Med J 2020 Oct 01;103(8):59-61 [FREE Full text] [Medline]
  49. Gleason LJ, Beiting KJ, Walker J, Shervani S, Graupner J, Mittal K, et al. Using Telementoring to Share Best Practices on COVID-19 in Post-Acute and Long-Term Care Facilities. J Am Geriatr Soc 2020 Nov;68(11):E58-E60 [FREE Full text] [CrossRef] [Medline]
  50. Lipsitz LA, Lujan AM, Dufour A, Abrahams G, Magliozzi H, Herndon L, et al. Stemming the Tide of COVID-19 Infections in Massachusetts Nursing Homes. J Am Geriatr Soc 2020 Nov;68(11):2447-2453 [FREE Full text] [CrossRef] [Medline]
  51. Benaque A, Gurruchaga MJ, Abdelnour C, Hernández I, Cañabate P, Alegret M, Research CenterMemory Clinic‚ Fundació ACE. Dementia Care in Times of COVID-19: Experience at Fundació ACE in Barcelona, Spain. J Alzheimers Dis 2020;76(1):33-40 [FREE Full text] [CrossRef] [Medline]
  52. Cormi C, Chrusciel J, Laplanche D, Dramé M, Sanchez S. Telemedicine in nursing homes during the COVID-19 outbreak: A star is born (again). Geriatr Gerontol Int 2020 Jun;20(6):646-647 [FREE Full text] [CrossRef] [Medline]
  53. Renzi A, Verrusio W, Messina M, Gaj F. Psychological intervention with elderly people during the COVID-19 pandemic: the experience of a nursing home in Italy. Psychogeriatrics 2020 Nov;20(6):918-919 [FREE Full text] [CrossRef] [Medline]
  54. Monin JK, Ali T, Syed S, Piechota A, Lepore M, Mourgues C, et al. Family Communication in Long-Term Care During a Pandemic: Lessons for Enhancing Emotional Experiences. Am J Geriatr Psychiatry 2020 Dec;28(12):1299-1307 [FREE Full text] [CrossRef] [Medline]
  55. Wammes JD, Kolk MSc D, van den Besselaar Md JH, MacNeil-Vroomen Ph JL, Buurman-van Es Rn BM, van Rijn Ph M. Evaluating Perspectives of Relatives of Nursing Home Residents on the Nursing Home Visiting Restrictions During the COVID-19 Crisis: A Dutch Cross-Sectional Survey Study. J Am Med Dir Assoc 2020 Dec;21(12):1746-1750.e3 [FREE Full text] [CrossRef] [Medline]
  56. Sacco G, Lléonart S, Simon R, Noublanche F, Annweiler C, TOVID Study Group. Communication Technology Preferences of Hospitalized and Institutionalized Frail Older Adults During COVID-19 Confinement: Cross-Sectional Survey Study. JMIR Mhealth Uhealth 2020 Sep 18;8(9):e21845 [FREE Full text] [CrossRef] [Medline]
  57. Office EE, Rodenstein MS, Merchant TS, Pendergrast TR, Lindquist LA. Reducing Social Isolation of Seniors during COVID-19 through Medical Student Telephone Contact. J Am Med Dir Assoc 2020 Jul;21(7):948-950 [FREE Full text] [CrossRef] [Medline]
  58. van Dyck LI, Wilkins KM, Ouellet J, Ouellet GM, Conroy ML. Combating Heightened Social Isolation of Nursing Home Elders: The Telephone Outreach in the COVID-19 Outbreak Program. Am J Geriatr Psychiatry 2020 Sep;28(9):989-992 [FREE Full text] [CrossRef] [Medline]
  59. Ickert C, Rozak H, Masek J, Eigner K, Schaefer S. Maintaining Resident Social Connections During COVID-19: Considerations for Long-Term Care. Gerontol Geriatr Med 2020;6:2333721420962669 [FREE Full text] [CrossRef] [Medline]
  60. Executive Order No. 2020-29. Governor Henry McMaster.   URL: https:/​/governor.​sc.gov/​sites/​default/​files/​Documents/​Executive-Budget/​2020-04-27%20eFILED%20Executive%20Order%20No.​%202020-29%20-%20State%20of%20Emergency%20Due%20to%20COVID-19%20Pandemic%20Response%20%26%20Other%20Measures.​pdf [accessed 2021-12-23]
  61. Find a Facility.   URL: https://sc-dhec.maps.arcgis.com/apps/webappviewer/index.html?id=e8b4eea83cab491bb3e3663093e14656 [accessed 2021-12-23]
  62. Warren S. Final Rule Overhauls Medicare Therapy-Based SNF Payments. Leader 2018 Oct;23(10):26-27. [CrossRef]
  63. Harris-Kojetin L, Sengupta M, Lendon J, Rome V, Valverde R, Caffrey C. Long-term Care Providers and Services Users in the United States, 2015–2016. Vital Health Stat 2019;3(43):1-88. [CrossRef]
  64. Pruchno R, Rose M. The effect of long-term care environments on health outcomes. Gerontologist 2000 Aug;40(4):422-428. [CrossRef] [Medline]
  65. Zimmerman S, Gruber-Baldini A, Sloane P, Eckert JK, Hebel JR, Morgan L, et al. Assisted living and nursing homes: apples and oranges? Gerontologist 2003 Apr;43 Spec No 2:107-117. [CrossRef] [Medline]


ALF: assisted living facility
DHEC: South Carolina Department of Health and Environmental Control
ICT: information and communication technology
LTC: long-term care
NH: nursing home


Edited by J Wang; submitted 28.07.21; peer-reviewed by C Smith, W Tang, N Finn; comments to author 25.10.21; revised version received 01.11.21; accepted 02.12.21; published 12.01.22

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©Amy M Schuster, Shelia R Cotten. Originally published in JMIR Aging (https://aging.jmir.org), 12.01.2022.

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