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JMIR Aging


Journal Description

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!


Recent Articles:

  • Source: Freepik; Copyright: pressfoto; URL:; License: Public Domain (CC0).

    Coproduction of a Theory-Based Digital Resource for Unpaid Carers (The Care Companion): Mixed-Methods Study


    Background: Family and other unpaid carers are crucial to supporting the growing population of older people that are living outside residential care with frailty and comorbidities. The burden associated with caring affects carers’ well-being, thus limiting the sustainability of such care. There is a need for accessible, flexible, and responsive interventions that promote carers’ coping and resilience, and hence support maintenance of the health, well-being, and independence of the cared-for person. Objective: This study aimed to coproduce a digital program for carers to promote resilience and coping through supporting effective use of information and other Web-based resources. Its overlapping stages comprised the following: understanding the ways in which Web-based interventions may address challenges faced by carers, identifying target behaviors for the intervention, identifying intervention components, and developing the intervention prototype. Methods: The study was informed by person-based theories of coproduction and involved substantial patient and public involvement. It drew on the Behavior Change Wheel framework to support a systematic focus on behavioral issues relevant to caring. It comprised scoping literature reviews, interviews, and focus groups with carers and organizational stakeholders, and an agile, lean approach to information technology development. Qualitative data were analyzed using a thematic approach. Results: Four behavioral challenges were identified: burden of care, lack of knowledge, self-efficacy, and lack of time. Local health and social care services for carers were only being accessed by a minority of carers. Carers appreciated the potential value of Web-based resources but described difficulty identifying reliable information at times of need. Key aspects of behavior change relevant to addressing these challenges were education (increasing knowledge and understanding), enablement (increasing means and reducing barriers for undertaking caring roles), and persuasion (changing beliefs and encouraging action toward active use of the intervention). In collaboration with carers, this was used to define requirements for the program. A resources library was created to link to websites, Web-based guidance, videos, and other material that addressed condition-specific and generic information. Each resource was classified according to a taxonomy itemizing over 30 different subcategories of need under the headings Care Needs (of the cared-for person), General Information and Advice, and Sustaining the Carer. In addition, features such as a journal and mood monitor were incorporated to address other enablement challenges. The need for proactive, personalized prompts emerged; the program regularly prompts the carer to revisit and update their profile, which, together with their previous use of the intervention, drives notifications about resources and actions that may be of value. Conclusions: The person-based approach allowed an in-depth understanding of the biopsychosocial context of caring to inform the production of an engaging, relevant, applicable, and feasible Web-based intervention. User acceptance and feasibility testing is currently underway.

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Latest Submissions Open for Peer-Review:

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  • Healthcare Cost Analyses of Older Patients Explore Cost Savings Opportunities: a Longitudinal Retrospective Study

    Date Submitted: Feb 28, 2018

    Open Peer Review Period: Mar 5, 2018 - Apr 30, 2018

    Background: Half of Medicare reimbursement goes towards caring for the top 5% of the most expensive patients. However, little is known about these patients prior to reaching the top or how their cost...

    Background: Half of Medicare reimbursement goes towards caring for the top 5% of the most expensive patients. However, little is known about these patients prior to reaching the top or how their cost changes annually. To address these gaps we analyzed patient flow and associated healthcare cost trends over 5 years period. Objective: To evaluate the cost of healthcare utilization of older patients by analyzing changes in their expenditure long term. Methods: This is a retrospective, longitudinal, multicenter study to evaluate healthcare cost of 2,643 older patients over the period 2011-2015. All patients had at least one episode of home healthcare during the study period and used a Personal Emergency Response Service (PERS) at home for any length of time during the observation period. We segmented all patients into Top-(5%), Middle-(6-50%) and Bottom-(51-100%) segments by their annual expenditures and built cost pyramids based thereon. The longitudinal healthcare expenditure trends of the complete study population as well as each segment were assessed by linear regression models. Patient flows throughout the segments of the cost acuity pyramids from year to year were modeled by Markov chains. Results: Total healthcare cost of the study population nearly doubled from $17.7M in 2011 to $33.0M in 2015 with an expected yearly cost increase of $3.6M (p=0.003). This grow was driven by significantly higher cost increase in the Middle–segment ($2.3M, p=0.002). The expected yearly costs increase of the Top- and Bottom-segments was $1.2M (p=0.008) and $0.1M (p=0.003), respectively. The patients and cost flow analyses showed that 18% of patients moved up the cost acuity pyramid yearly and their cost increased by 672% in contrast to 22% of patients that moved down with a cost decreased by 86%. The remaining 60% of patients stayed at the same segment from year to year but their cost increased by 18%. Conclusions: While many healthcare organizations target costly intensive interventions at their most expensive patients (Top-segment), this analysis unveiled potential cost savings opportunities by managing the patients in the lower cost segments that are at risk of moving up the cost acuity pyramid. To achieve this, data analytics that integrate longitudinal data from the EHRs and home monitoring devices like PERS may help healthcare organizations to optimize resources by enabling clinicians to proactively manage patients in their home or community environments, beyond institutional settings and 30-60 day telehealth services.