Purpose Of The Study: This study determined whether self-reports of unmet need for help with activities of daily living (ADL) disabilities are prognostic of emergency department (ED) utilization.
Design And Methods: This prospective cohort study of 2,194 community-living, ADL-disabled subjects combined 2004 National Long-Term Care Survey responses with linked Medicare data through 2005. A negative binomial count model was computed to assess the association between unmet ADL need and number of subsequent ED admissions while statistically adjusting for predisposing, enabling, and need characteristics associated with ED admissions among older adults.
Results: The adjusted annual incidence rate (IR) for ED admissions was 19% higher for unmet versus met need (IR = 1.19; 95% confidence interval [CI] = 1.00-1.40; p = .047). The IR for ED admissions for falls and injuries was higher for those with unmet ADL versus met ADL need (IR = 1.43; 95% CI = 1.10-1.86), and trended toward significance for ED admissions for skin breakdown (IR = 2.02; 95% CI = 0.97-2.88), but was not significant for ED admissions for dehydration (IR = 1.13; 95% CI= 0.79-1.63).
Implications: Unmet ADL need is prognostic of ED admissions, especially for falls and injuries. Future research is needed to determine whether resolution of unmet ADL need reduces ED utilization.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5881665 | PMC |
http://dx.doi.org/10.1093/geront/gnv142 | DOI Listing |
Int J Equity Health
January 2025
Department of Health Management and Policy, School of Public Health, University of Michigan, Michigan, USA.
Background: Ensuring equitable access to medical and long-term care (LTC) is critical to enable older people to maintain their health and well-being even after they undergo a decline in their intrinsic capacity.
Methods: We used data from five waves of the National Survey of the Japanese Elderly, conducted between 2002 and 2021, to assess gradients in access to medical care and LTC by income and education among Japanese individuals aged 60 years and above. Specifically, we assessed self-reported unmet needs for medical care and LTC, and public LTC use, and estimated the concentration indices (CI) to evaluate the degree of inequality and inequity.
Background And Aim: Unmet need for social care is linked to numerous adverse health outcomes. Understanding which unmet needs have the biggest impact on healthy ageing could help resource-stretched services prioritise care. To address this evidence gap, our analysis aimed to explore the association between selected individual unmet care needs and an indicator of healthy ageing.
View Article and Find Full Text PDFHaemophilia
December 2024
Department of Pediatrics, Nara Medical University, Kashihara, Japan.
Introduction: Acquired haemophilia A (AHA) is characterized by the development of autoantibodies against factor VIII, reducing its activity and potentially resulting in bleeding.
Aim: To assess the characteristics of people with AHA undergoing rehabilitation and/or with low activities of daily living (ADL) scores, thereby characterizing unmet needs in the management of AHA and informing treatment optimization.
Methods: ORIHIME II, the largest epidemiological and treatment survey of AHA in Japan, is a descriptive, retrospective, observational study conducted using health claims data from April 2008 to October 2021.
Lancet Public Health
January 2025
Department of Health and Social Care Policy, London School of Hygiene & Tropical Medicine, London, UK.
Background: Cross-sectional evidence suggests that access to essential mobility assistive products (MAPs) might be dependent on non-clinical factors. However, MAP use is better understood as a dynamic process wherein individuals pass through different states of MAP need and use. We aimed to test associations of demographic, socioeconomic, and social factors with transitions between MAP need and use states.
View Article and Find Full Text PDFPLoS One
November 2024
Institute of Economic Research, Hitotsubashi University, Tokyo, Japan.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!