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A New Planning Methodology to Assess the Impact of the Health Care System on Health Status

Bibliographic Data

ID9104448
AuthorsArnold I Kisch (Policy Analysis (United States), corresponding author), L Jeff Harris (0000-0002-4967-4618, RAND Corporation), Emmett B Keeler (RAND Corporation), EMMETT KEELER, David E Drew (0000-0003-0225-9764, RAND Corporation), Marie E Michnich (RAND Corporation), Susana F de Sola (UCLA Health)
Year1978
Volume16
Issue12
Pages1027-1035
Publication date1978-12-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-197812000-00006
PMID713628
OpenAlexW1993553575
LanguageEN

This article summarizes a new methodology recently developed by the Rand Corporation which permits health planners to assess the impact of the local health care system on the health status of the population. The methodology, in algorithm form, should assist health planners in developing objectives and actions related to the occurrence of selected health status indicators and should be amenable to health care interventions. Emphasis has been placed on developing a simplified, approximate analysis that health planners will find both feasible and effective. No detailed mathematic analyses are called for. The data required are, in most instances, readily obtainable. The algorithm is a methodology by which HSAs can investigate determinants of health status, identify breakdowns in the health care system, and specify needed improvements in the system. The goal of these algorithms is to assist HSAs to obtain valid and sufficiently detailed data that will provide a basis for monitoring breakdowns in the health care system and to improve planning decisions aimed at preventing such breakdowns. This should, in turn, affect population health status in the planning area

Economic growth · Economics · Environmental health · Health care · Management science · Population · Population health · Psychological intervention · Risk analysis (engineering) · Computer Science · Engineering · Global Health Care Issues · Medicine · Nursing

Citation velocityhistorical
Highly citedNo

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