Publication | Closed Access
A Health-Status Index and its Application to Health-Services Outcomes
418
Citations
18
References
1970
Year
Health OutcomePrognosisHealth StudiesHealth Program OutputHealth-status IndexHealth OutcomesPrognostic AssessmentSocial HealthPatient-reported OutcomeHealth InequityHealth ProgramPublic HealthHealth Services ResearchHealth SciencesHealth PolicyOutcomes ResearchPublic Health PolicyHealth SystemsPrognostic EvaluationHealth EconomicsHealth Technology AssessmentQuantitative DefinitionHealth Informatics
The Health Status Index is grounded in societal value judgments and provides quantitative definitions for state of health, severity of illness, program effectiveness, and population health status. The study aims to operationalize health by defining a function/dysfunction continuum, quantify health program output as changes in functional history, and relate this output to modern decision theory for program planning. The authors construct an ordinal scale of functional states, assign cardinal weights to form the HSI, define prognosis as transition probabilities, and illustrate the method with a simulated program and a tuberculosis‑control case study. The analysis demonstrates that health program output can be linked to decision‑theoretic frameworks, enabling the integration of results into broader conceptual models.
In order to develop an operational definition of health, we found it necessary first to develop the concept of function/dysfunction as a continuum, based on one's ability to carry on the usual daily activities appropriate to social roles. Then, to those operating the health system, each member of the population can be seen as belonging to one and only one state from a class of functional states that can be defined on an ordinal scale. Next, we found it necessary to assign to each state a weight defined on a cardinal scale, the set of weights for these states being called the Health Status Index (HSI). The HSI rests on value judgments, of a societal nature, expressed by the administrators responsible for policy decisions. Prognosis is then defined as the transitional probability of a change in functional state with time. Thus, the concepts “state of health” and “severity of illness” are decomposed into the parameters function/dysfunction and prognosis. Finally, together with an operational definition of time and target population, it becomes possible to give a quantitative definition of the output of a health program (or health system) as the changes in the functional history of the target population resulting from the intervention of the health program (or system). Other concepts that are given quantitative definitions are program effectiveness and population health status. This study next explores the relation between health program output and modern decision theory for program planning, and shows how these analytical tools are useful for fitting the results of the study into larger conceptual frameworks. Finally, the method developed is illustrated, first with a simplified simulated program for computer use, and then with an analysis of a small section of a tuberculosis-control program.
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