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Published on: September 30, 2020
Mapping variability in allocation of Long-Term Care funds across payer agencies in OECD countries
Ruth Waitzberg1, Andrea E Schmidt2, Miriam Blümel3
1The Smokler Center for Health Policy Research, Myers-JDC-Brookdale Institute, JDC Hill, P.O.B. 3886, Jerusalem 91037, Israel; Department of Health Systems Management, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Health Care Management, Faculty of Economics & Management, Technical University Berlin, Germany.
Introduction:
Long-term care (LTC) is organized in a fragmented manner. Payer agencies (PA) receive LTC funds from the agency collecting funds, and commission services. Yet, distributional equity (DE) across PAs, a precondition to geographical equity of access to LTC, has received limited attention. We conceptualize that LTC systems promote DE when they are designed to set eligibility criteria nationally (vs. locally); and to distribute funds among PAs based on needs-formula (vs. past-budgets or government decisions).
Objectives:
This cross-country study highlights to what extent different LTC systems are designed to promote DE across PAs, and the parameters used in allocation formulae.
Methods:
Qualitative data were collected through a questionnaire filled by experts from 17 OECD countries.
Results:
11 out of 25 LTC systems analyzed, fully meet DE as we defined. 5 systems which give high autonomy to PAs have designs with low levels of DE; while nine systems partially promote DE. Allocation formulae vary in their complexity as some systems use simple demographic parameters while others apply socio-economic status, disability, and LTC cost variations.
Discussion And Conclusions:
A minority of LTC systems fully meet DE, which is only one of the criteria in allocation of LTC resources. Some systems prefer local priority-setting and governance over DE. Countries that value DE should harmonize the eligibility criteria at the national level and allocate funds according to needs across regions.
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