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JMIR Aging (JA, Founding Editor-in-chief: Jing Wang, Cizik School of Nursing, Houston TX, USA) is a new sister journal of JMIR (the leading open-access journal in health informatics (Impact Factor 2017: 4.671), focusing on technologies, medical devices, apps, engineering, informatics applications and patient education for medicine and nursing, education, preventative interventions and clinical care / home care for elderly populations. In addition, aging-focused big data analytics using data from electronic health record systems, health insurance databases, federal reimbursement databases (e.g. U.S. Medicare and Medicaid), and other large databases are also welcome.
As open access journal we are read by clinicians, nurses/allied health professionals, informal caregivers and patients alike and have (as all JMIR journals) a focus on readable and applied science reporting the design and evaluation of health innovations and emerging technologies. We publish original research, viewpoints, and reviews (both literature reviews and medical device/technology/app reviews).
During a limited period of time, there are no fees to publish in this journal. Articles are carfully copyedited and XML-tagged, ready for submission in PubMed Central.
Be a founding author of this new journal and submit your paper today!
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Background: Dementia is a prevalent disorder among adults and often causes negative stigmatization to the individual and his/her family. Social media websites provide a place to raise awareness for de...
Background: Dementia is a prevalent disorder among adults and often causes negative stigmatization to the individual and his/her family. Social media websites provide a place to raise awareness for dementia and have allowed researchers to explore health-related data on social platforms. Objective: This study examined the content and location of tweets containing the keyword “dementia” to better understand the reasons why individuals discuss dementia on the social media website Twitter. This approach examined location, Twitter user category, and tweet content subcategory to examine large publicly available datasets. Methods: A total of 400 tweets were collected using the Twitter Search Application Programming Interface (API) with the keyword “dementia”, circulated between January and February of 2018. Twitter users were categorized into four categories: general public, healthcare field, advocacy organization, and public broadcasting. Tweets posted by “general public” users were further subcategorized into five categories: mental health advocate, affected persons, stigmatization, marketing, and other. Placement into the categories were done through thematically analysis. Results: 400 Tweets were tweeted by 359 different screen names from 28 different countries. The top countries were the United States and the United Kingdom while the top states were California and Texas. The majority of Twitter users were categorized in the general public category (71%). The content analysis of Tweets from the general public category reveal stigmatization (41%) and mental health advocate (37%) themes. For tweets from California and Texas, California had more stigmatization tweets while Texas had more mental health advocate tweets. Conclusions: The themes from the content of the tweets highlight the mixture of the political climate along with the supportive network present on Twitter. The ability to use Twitter to combat stigma and raise awareness of mental health indicates the benefits that can potentially be facilitated via the platform but negative stigmatizing tweets may interfere with the effectiveness of this social support for the aging population affected with dementia.
Background: The debilitating effects of recurrent stroke among aging patients have urged researchers to explore medication adherence among these patients. Video narratives built upon Health Belief Mod...
Background: The debilitating effects of recurrent stroke among aging patients have urged researchers to explore medication adherence among these patients. Video narratives built upon Health Belief Model (HBM) constructs have displayed potential impact on medication adherence adding a plus-point to patient education efforts. However, its effect on medication understanding and use self-efficacy have not been tested. Objective: The researchers believed that culturally sensitive video narratives which catered specific niche would reveal a personalized impact on medication adherence. This study aimed to develop and validate video narratives for this purpose. Methods: This study adapted Delphi method to develop a consensus on the video scripts contents of learning outcomes and HBM questions. The panel of experts consisted of eight members representing a mix of experiences in stroke in Malaysia. The Delphi method involved three rounds of discussion. Once consensus was achieved, the researchers drafted the initial scripts in English which were then back-translated to the Malay language. Ten bilingual patients within inclusion criteria screened the scripts for comprehension. Subsequently, an actual doctor and patient narrated the scripts while they were filmed; to add the realism of the narratives. Then, the video narratives underwent a few cycles of editing after some feedback on video engagement by the bilingual patients. Few statistical analysis were applied to confirm the validity of the video narratives. Results: Initially, the researchers proposed eight learning outcomes and nine HBM questions for the video scripts content. However, following Delphi rounds 1 to 3, few statements were omitted and rephrased. Complete agreement (>80%) arrived for five learning outcomes and five HBM questions. Kendall's coefficient of concordance, W; was above 0.7 which indicated a firm agreement, and SD values within a range of below 1.5 confirmed satisfactory content and construct validity of learning outcomes and HBM questions. Also, the video engagement scores were above average which indicated that the video narratives had a good link with perceived realism. Conclusions: The Delphi method was proven to be helpful in conducting discussion systematically and providing precise contents for the development of video narratives. Whereas, the video engagement scale had helped to create realistic video styles and emotions which the researchers believed could positively impact medication understanding and use self-efficacy among patients with stroke. A feasibility and acceptability study in an actual stroke care center is warranted. Clinical Trial: Approvals have been obtained from the Malaysian Medical Research and Ethics Committee – MREC (NMRR ID-15-851-24737) and the Monash University Human Research Ethics Committee - MUHREC (ID 9640), whereas MyStrokeStory trial was registered with the Australian New Zealand Clinical Trials Registry- ANZCTR (ACTRN12618000174280) with Universal Trial Number (UTN) U1111-1201-3955.
Background: Quality of sleep has been associated with cognitive and mood outcomes in otherwise healthy older adults. However, most studies have evaluated sleep quality as aggregate and/or mean measure...
Background: Quality of sleep has been associated with cognitive and mood outcomes in otherwise healthy older adults. However, most studies have evaluated sleep quality as aggregate and/or mean measures, rather than addressing the impact of previous night’s sleep on next-day functioning. Objective: This study evaluated the ability of previous night’s sleep parameters on self-reported mood, cognition, and fatigue to understand short-term impacts of sleep quality on next-day functioning. Methods: Seventy-three cognitively-healthy older adults (19 male, 54 female) completed seven days of phone-based self-report questions, along with 24-hour actigraph data collection. We evaluated a model of previous night’s sleep parameters as predictors of mood, fatigue, and perceived thinking abilities the following day. Results: Previous night’s sleep predicted fatigue in the morning and mid-day, as well as sleepy/drowsiness in the morning; however, sleep measures did not predict subjective report of mood or perceived thinking abilities the following day. Conclusions: These findings suggest that objectively-measured sleep quality from the previous night may not have a direct or substantial relationship with subjective reporting of cognition or mood the following day, despite frequent patient reports. Continued efforts to examine the relationship between cognition, sleep, and everyday functioning are encouraged.
Background: Family caregivers are essential to supporting the growing population of aging adults. Caregivers provide essential care and support and are often highly engaged in the pursuit of health in...
Background: Family caregivers are essential to supporting the growing population of aging adults. Caregivers provide essential care and support and are often highly engaged in the pursuit of health information. Objective: The objective of this study was to examine health information seeking behaviors among caregivers, and to identify caregiver characteristics that contribute to difficulty in seeking health information. Methods: Data from the Health Information National Trends Survey 5, Cycle 1 (N=3181) were used to compare health information seeking of caregivers (n= 391) with non-caregivers (n= 2790). Results: Caregivers sought health information for themselves and others more often than non-caregivers. Caregivers used computers, smartphones, or other electronic means to find health information more frequently than non-caregivers. Among caregivers, non-whites, those with less education and those without a regular healthcare provider were less confident in seeking health information. Female caregivers experienced less difficulty seeking health information compared to male caregivers, and caregivers born outside of the US reported greater difficulty seeking health information. Conclusions: Our study highlights prevalence of health information seeking among caregivers, and the use of electronic means to find health information. Notable differences in difficulty and confidence in health information seeking exist between caregivers, indicating the need for more attention to socioeconomic status, gender, and immigration status. Findings can guide efforts to optimize caregivers’ health information seeking experiences.