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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 2016: 5.175), 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: 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.
Background: Health and social care systems were designed to be used primarily by people with single and acute diseases. However, a growing number of older adults are diagnosed with multiple long-term...
Background: Health and social care systems were designed to be used primarily by people with single and acute diseases. However, a growing number of older adults are diagnosed with multiple long-term health conditions (LTCs). The process of navigating the intricacies of health and social care systems in order to receive appropriate care presents significant challenges for older people living with multiple LTCs, which in turn can negatively influence their well-being and quality of life. Objective: The long-term goal of this work is to design technology to assist people with LTCs in navigating health and social care systems. In order to do so, we must first understand how older people living with LTCs currently engage with and navigate their care networks. There is no published research that describes and analyses the structure of formal and informal care networks of older adults with multiple LTCs, the frequency of interactions with each type of care service, and the problems that typically arise in these interactions. Methods: A mixed-methods study was carried out. Sixty-two participants, all aged 55 years or over, living in England, with two or more LTCs, were recruited and completed a social network analysis (SNA) questionnaire. Semi-structured interviews were conducted with roughly a 10% subsample of the questionnaire sample; four women and three men. On average, interviewees were aged 70 years old and had four LTCs. Results: Personal care networks (PCNs) were complex and adapted to each individual. The task of building, and subsequently navigating, one’s PCN rested mainly on patients’ shoulders. It was frequently the patients’ task to bridge and connect the different parts of the system. The major factor leading to a satisfying navigation experience was found to be patients’ assertive, determined and proactive approaches. Smooth communication and interaction between different parts of the care system were found to lead to more satisfying navigation experiences. Conclusions: Technology to support care navigation for older adults with multiple LTCs needs to support patients in managing complex health and social care systems by effectively integrating management of multiple conditions and facilitating communication between multiple stakeholders, while also offering flexibility to adapt to individual situations. Since quality of care seems to be dependent on determination and ability of patient, this leads to uneven care. Those with less determination, and less organization skills experience worse care. Technology must aim to fulfil these coordination functions, to ensure care is equitable across those who need it, not just those who ask loudest.
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Background: In older adults depression is one of the most common mental disorders. Unfortunately, depression in older adults is often not being recognized. Objective: The aim of this study was to iden...
Background: In older adults depression is one of the most common mental disorders. Unfortunately, depression in older adults is often not being recognized. Objective: The aim of this study was to identify how online applications can recognize and help treat depression in older adults. Methods: Focus groups were realized with mental health care expert (N = 8). An online survey with N = 56 older adults suffering from depression was carried out. Qualitative interviews were conducted with N = 2 individuals. Results: Results of the focus groups highlighted that there is a need for a collaborative care platform for depression in old age. Findings from the online study showed that younger participants (50 to 64 years) used electronic media more often than older participants (65 years and older). The interviews point in a comparable direction. Conclusions: Overall, an e-mental health treatment for depression in older adults would be well accepted. They should be developed, evaluated and in case of evidence for their effectiveness integrated in everyday clinic.