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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

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Reweighting DHS data to serve multiple perspectives

A I Hermalin¹, B Entwisle, Z Khadr

¹Population Studies Center, University of Michigan, Ann Arbor 48104-2590, USA.

Studies in Family Planning

|March 1, 1996

Summary

This summary is machine-generated.

Demographic and Health Surveys (DHS) service availability module (SAM) data can be reweighted to accurately represent family planning facilities at the community level. This method enhances understanding of health infrastructure accessibility in developing countries.

Keywords:

Data Collection Demographic And Health Surveys Demographic Factors Demographic Surveys Family Planning Family Planning Programs Methodological Studies Organization And Administration Population Population Dynamics Program Accessibility Program Evaluation Programs Research Methodology Sampling Studies Studies Survey Methodology Surveys

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Area of Science:

Public Health
Demography
Health Services Research

Background:

The Service Availability Module (SAM) within Demographic and Health Surveys (DHS) collects data on health and family planning infrastructures in developing countries.
DHS samples are designed for household and women of reproductive age representativeness, allowing straightforward analysis of service accessibility at individual and household levels.
Currently, SAM data lack representativeness at the community or primary sampling unit level without further adjustment.

Purpose of the Study:

To propose and illustrate a methodology for reweighting SAM data.
To enable representative characterization of family planning facilities at the community level.
To enhance the utility of DHS data for understanding health infrastructure at a crucial service delivery level.

Main Methods:

Development of a reweighting methodology for SAM data.
Application of the methodology using rural data from the Egypt DHS.
Comparison of unadjusted versus reweighted data for community-level analysis.

Main Results:

The proposed reweighting methodology allows for a representative assessment of family planning facilities at the primary sampling unit level.
Analysis of Egypt's rural DHS data demonstrates the feasibility and effectiveness of the reweighting approach.
The method provides a low-cost way to derive valuable insights into community-level service delivery.

Conclusions:

Reweighting SAM data is a viable strategy to achieve community-level representativeness for family planning facility analysis.
This approach significantly improves the usability of DHS data for understanding health infrastructure at the primary sampling unit level.
The methodology offers a cost-effective solution for characterizing family planning service accessibility in developing nations.