1. The impact of long-term care on quality of life
- Author
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Florin Vadean, Juliette Malley, Julien E. Forder, and Stacey Rand
- Subjects
Adult ,Male ,production functions ,Cost-Benefit Analysis ,Health Status ,Severity of Illness Index ,State Medicine ,HV Social pathology. Social and public welfare. Criminology ,03 medical and health sciences ,Sex Factors ,0302 clinical medicine ,Quality of life (healthcare) ,RA0421 Public health. Hygiene. Preventive Medicine ,Economics ,Humans ,030212 general & internal medicine ,Endogeneity ,Baseline (configuration management) ,Research Articles ,Aged ,Aged, 80 and over ,Service (business) ,Actuarial science ,030503 health policy & services ,Health Policy ,Instrumental variable ,Age Factors ,Middle Aged ,Long-Term Care ,long‐term care ,Long-term care ,Models, Economic ,instrumental variables estimation ,England ,Socioeconomic Factors ,quality of life ,Health Care Surveys ,RA Public aspects of medicine ,Survey data collection ,Female ,Basic needs ,0305 other medical science ,Needs Assessment ,Research Article - Abstract
Long‐term care services are provided to help people manage the consequences of impairment, but their impact goes beyond the meeting of basic needs. Accordingly, the main aim was to explore the marginal effectiveness of care when measured in terms of people's overall care‐related quality of life (CRQoL) and assess changes in marginal effect for increasing intensity. The associated aim was to refine and apply an observational method to estimate marginal effectiveness. A “production function” approach was used with survey data, including Adult Social Care Outcomes Toolkit‐measured CRQoL, whereby we statistically modelled the expected relationship between service utilisation rates and CRQoL. This method seeks to limit endogeneity issues by controlling on observables and using instrumental variable. Using a survey of publicly funded long‐term care service users in England, we found that community‐based long‐term care significantly improved people's CRQoL but with diminishing marginal effects and effects differentiated by baseline impairment levels. There are implications for how the care system should respond to changes in global public budgets. For example, where there is unmet need, a system aimed to maximise (unadjusted) CRQoL would put more emphasis on access (more recipients) than intensity of support compared to a system operating on a needs basis.
- Published
- 2017
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