Introduction: To examine the impact of frailty on medical and social care utilisation among the Irish community-dwelling older population to inform strategies of integrated care for older people with complex needs.
Methods: Participants aged ≥65 years from the Irish Longitudinal Study on Ageing (TILDA) representative of the Irish community-dwelling older population were analysed (n = 3507). The frailty index was used to examine patterns of utilisation across medical and social care services. Multivariate logistic and negative binomial regression models were employed to examine the impact of frailty on service utilisation outcomes after controlling for other factors.
Results: The prevalence of frailty and pre-frailty was 24% (95% CI: 23, 26%) and 45% (95% CI: 43, 47%) respectively. Frailty was a significant predictor of utilisation of most social care and medical care services after controlling for the main correlates of frailty and observed individual effects.
Conclusions: Frailty predicts utilisation of many different types of healthcare services rendering it a useful risk stratification tool for targeting strategies of integrated care. The pattern of care is predominantly medical as few of the frail older population use social care prompting questions about sub-groups of the frail older population with unmet care needs.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583758 | PMC |
http://dx.doi.org/10.1186/s12877-017-0579-0 | DOI Listing |
J Med Internet Res
January 2025
Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute Landmark Center, Boston, Massachusetts.
JAMA Netw Open
January 2025
Clinical Product Development, Waymark, San Francisco, California.
Importance: Rising prescription medication costs under Medicaid have led to increased procedural prescription denials by health plans. The effect of unresolved denials on chronic condition exacerbation and subsequent acute care utilization remains unclear.
Objective: To examine whether procedural prescription denials are associated with increased net spending through downstream acute care utilization among Medicaid patients not obtaining prescribed medication following a denial.
JAMA Netw Open
January 2025
S-SPIRE Center, Department of Surgery, Stanford University School of Medicine, Stanford, California.
Importance: Transportation insecurity and lack of social support are 2 understudied social determinants of health that contribute to excess morbidity, mortality, and acute health care utilization. However, whether and how these social determinants of health are associated with cancer screening has not been determined and has implications for preventive care.
Objective: To determine whether transportation insecurity or social support are associated with screening adherence for colorectal, breast, and cervical cancer.
J Psychosoc Oncol
January 2025
University of Minnesota Medical School, Minneapolis, MN, USA.
Background/purpose: Immunotherapies, such as CAR-T, have revolutionized cancer treatment for some cancers. However, these treatments often require active participation of a family member or friend to act as a caregiver at home for several weeks after infusion. Given the novelty of CAR-T, there is a need to better understand the experience of patients receiving these treatments and their caregivers.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!