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Developing an Index to Measure Health System Performance: Measurement for Districts of Nepal
N Kandel1, A Fric2, J Lamichhane3
1Technical Officer, World Health Organization, Indonesia.
JNMA; Journal of the Nepal Medical Association
|February 25, 2016
Summary
This study developed a health system performance index using eleven indicators, similar to the Human Development Index. The index effectively identified high-performing districts in Nepal, correlating with other development metrics.
Area of Science:
- Public Health
- Health Systems Research
- Socioeconomic Determinants of Health
Background:
- Measuring health system performance is complex, requiring multidimensional approaches.
- Existing frameworks often lack innovative and easily applicable indices.
- A comprehensive index is crucial for evaluating health system effectiveness across various levels.
Purpose of the Study:
- To develop an innovative and easy-to-compute index for measuring multidimensional health system performance.
- To utilize eleven Millennium Development Goals (MDGs) indicators representing all health dimensions.
- To illustrate the index computation using data from Nepal's districts.
Main Methods:
- Developed a health system performance index using eleven MDG indicators.
- Employed a methodology analogous to the Human Development Index (HDI) calculation.
- Computed the index for districts in Nepal using published data and validated findings against other development indices.
Main Results:
- An index was computed for each district in Nepal, reflecting health system performance.
- District-level indices showed similarities in distribution when compared with HDI, socioeconomic, and infrastructure development indices.
- Districts categorized as high or low performing in health systems also exhibited high or low scores in other development indices.
Conclusions:
- The developed index offers a valuable tool for assessing health system performance.
- This methodology can assist policymakers and program managers in prioritizing health interventions.
- The correlation with other development indices suggests the tool's robustness for policy and program planning.
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