Quality of care and its impact on population health: A cross-sectional study from Macedonia
Introduction
Nearly 30 years ago, population-level surveys revealed substantial variation in health status among populations ranging from villages to countries (Glass et al., 1982; Lightbourne, Singh, & Green, 1982). Subsequent research showed that this variation remains even after correcting for socioeconomic determinants (Murray & Frenk, 2000; Schieber & Maeda, 1997).
A parallel stream of research began to document substantial variation in the quality of clinical care (Wennberg & Gittelsohn, 1973). Researchers found that variation in the process of care—what physicians actually do when they see patients—is more closely linked to health status than are structural elements of care (such as infrastructure, facilities, equipment, and costs) (Donabedian, 1980). Moreover, this variation in process exists not only among individual physicians, but also across geographic areas and systems of care, and appears to be independent of the cost of care (Skinner, Fisher, & Wennberg, 2001).
A confluence of these two research streams led a growing number of researchers to postulate that variations in population health status may be closely related to variations in the quality of clinical care the population receives (Donabedian, 1980; Peabody et al., 1999). However, this postulated linkage has been difficult to quantify.
We hypothesized that the better quality of clinical care a population receives, the better its health status. Further, if quality affected the health status of those receiving care, we hypothesized it would have a similar—albeit attenuated—effect on the health of the population of the surrounding community. To test these hypotheses we used a unique, validated tool, clinical vignettes, to measure the quality of care (Peabody, Tozija, Munoz, Nordyke, & Luck, 2004). Simultaneously, we measured the health status of those receiving care and of the general population. We did this in a setting where we could observe the link between quality measures and health status (Peabody & Gertler, 1997).
Section snippets
Setting
In 1996, we conducted a baseline assessment for a health-sector reform proposal in the former Yugoslav Republic of Macedonia (hereinafter “Macedonia”). This setting was ideal for several reasons. There was widespread cooperation among the government, health care providers, patients, and the larger community. Macedonia's health status is slightly lower and more varied than that of more-developed countries; its life expectancy, at 73 years, is comparable to higher-income countries. The leading
Results
For users, GSRH ranged narrowly across municipalities, from 2.8 to 3.3 (); PCS, from 47.2 to 49.1 (). PF varied more widely—from 67.0 to 74.3 (). All three self-reported measures were higher in the general population (), reflecting better health status. Objective measures ranged narrowly across municipalities (), but were appreciably better in the general population () (see Table 1).
Quality of care varied significantly among the four municipalities ().
Discussion
This large cross-sectional study prospectively evaluated the linkage between quality of clinical care and health status of patients using health facilities in Macedonia, as well as randomly selected residents in the same municipalities.
Comprehensive structural data were collected from facilities. Analytic models assigned structural elements a more distal impact on health outcomes. Quality of care provided by physicians was the proximate determinant. Physician quality was measured using
Acknowledgments
Data for this study were collected as part of the Capitation Evaluation Projected conducted by the RAND Corporation under a contract funded by the World Bank. Analyses were supported by the Institute for Global Health.
We would also like to acknowledge the support of Dr. Petar llievski, Minister of Health of Macedonia at the time of the study, World Bank staff, especially Ellen Goldstein, the staff at RAND, particularly Dr. Bob Brook, and our colleagues at the Institute for Global Health who all
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