Browsing by Subject "aged"

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    Central Indiana Senior Fund State of Aging in Central Indiana Report (SoAR) Newsletter No. 1
    (The Polis Center, Indiana University at Indianapolis, 2022-11) The Polis Center
    Older adults are the fastest growing demographic in Central Indiana. Approximately 20,000 individuals in Central Indiana reach the age of 60 every year. By the year 2030, one in every five residents will be over the age of 65. To enhance the ability of older adults to live and thrive in Central Indiana, it is important to understand the population trends and basic needs of the growing older adult demographic. The Central Indiana Senior Fund is partnering with The Polis Center at IUPUI to develop the State of Aging in Central Indiana Report, a trusted source of information about Central Indiana’s older adult population.
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    Effects of physical exercise in older adults with reduced physical capacity: meta-analysis of resistance exercise and multimodal exercise
    (Wolters Kluwer, 2017-12) Liu, Chiung-ju; Chang, Wen-pin; de Carvalho, Islene Araujo; Savage, Katie E. L.; Radford, Lori W.; Thiyagarajan, Jotheeswaran Amuthavalli; Occupational Therapy, School of Health and Rehabilitation Sciences
    Older adults with reduced physical capacity are at greater risk of progression to care dependency. Progressive resistance strength exercise and multimodal exercise have been studied to restore reduced physical capacity. To summarize the best evidence of the two exercise regimes, this meta-analysis study appraised randomized-controlled trials from published systematic reviews. Medline, Embase, and the Cochrane Database of Systematic Review and Cochrane Central Register of Controlled Clinical Trials were searched for relevant systematic reviews. Two reviewers independently screened the relevant systematic reviews to identify eligible trials, assessed trial methodological quality, and extracted data. RevMan 5.3 software was used to analyze data on muscle strength, physical functioning, activities of daily living, and falls. Twenty-three eligible trials were identified from 22 systematic reviews. The mean age of the trial participants was 75 years or older. Almost all multimodal exercise trials included muscle strengthening exercise and balance exercise. Progressive resistance exercise is effective in improving muscle strength of the lower extremity and static standing balance. Multimodal exercise is effective in improving muscle strength of the lower extremity, dynamic standing balance, gait speed, and chair stand. In addition, multimodal exercise is effective in reducing falls. Neither type of exercise was effective in improving activities of daily living. For older adults with reduced physical capacity, multimodal exercise appears to have a broad effect on improving muscle strength, balance, and physical functioning of the lower extremity, and reducing falls relative to progressive resistance exercise alone.
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    Medication Management: The Macrocognitive Workflow of Older Adults With Heart Failure
    (JMIR Publications Inc., 2016-10-12) Mickelson, Robin S.; Unertl, Kim M.; Holden, Richard J.; Department of BioHealth Informatics, School of Informatics and Computing
    BACKGROUND: Older adults with chronic disease struggle to manage complex medication regimens. Health information technology has the potential to improve medication management, but only if it is based on a thorough understanding of the complexity of medication management workflow as it occurs in natural settings. Prior research reveals that patient work related to medication management is complex, cognitive, and collaborative. Macrocognitive processes are theorized as how people individually and collaboratively think in complex, adaptive, and messy nonlaboratory settings supported by artifacts. OBJECTIVE: The objective of this research was to describe and analyze the work of medication management by older adults with heart failure, using a macrocognitive workflow framework. METHODS: We interviewed and observed 61 older patients along with 30 informal caregivers about self-care practices including medication management. Descriptive qualitative content analysis methods were used to develop categories, subcategories, and themes about macrocognitive processes used in medication management workflow. RESULTS: We identified 5 high-level macrocognitive processes affecting medication management-sensemaking, planning, coordination, monitoring, and decision making-and 15 subprocesses. Data revealed workflow as occurring in a highly collaborative, fragile system of interacting people, artifacts, time, and space. Process breakdowns were common and patients had little support for macrocognitive workflow from current tools. CONCLUSIONS: Macrocognitive processes affected medication management performance. Describing and analyzing this performance produced recommendations for technology supporting collaboration and sensemaking, decision making and problem detection, and planning and implementation.