Abstract

ObjectivesThis study assessed the completeness of child health records maintained and collected within community health information system in Ethiopia.MethodsA household listing was carried out in 221 enumeration areas in food insecure areas of Ethiopia to determine the presence of a child less than 24-months. This list of children was then compared against the information stored at the local health posts. A household survey was administered to a sample of 2155 households that had a child less than 24-months of age to assess determinants and consequences of exclusion from the health post registers.ResultsOut of the 10,318 children identified during the listing, 36% were found from the health post records. Further analysis based on the household survey data indicated that health posts that had adopted nationally recommended recordkeeping practices had more complete records (p < 0.01) and that children residing farther from health posts were less likely to be found from the registers (p < 0.05). Mothers whose child was found from the registers were more likely to know a health extension worker (p < 0.01), had a contact with one (p < 0.01), and their child was more likely to have received growth monitoring (p < 0.05).Conclusions for PracticeThe incompleteness of the data collected at the health posts poses a challenge for effective implementation of the national health extension program and various complementary programs in Ethiopia.

Highlights

  • Health Information Systems (HIS) play a key role in the design and implementation of health care policies (WHO 2007)

  • We focus on households with infants and young children that are in need of critical family health services provided by the Health Extension Workers (HEWs), including medical care, monitoring and counselling

  • This variable was used as the dependent variable in the regression models that explored the determinants of inclusion in the registers and as the key independent variable in the models that tested whether the inclusion was associated with the likelihood of receiving services provided by the HEWs

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Summary

Introduction

Health Information Systems (HIS) play a key role in the design and implementation of health care policies (WHO 2007). The individual or patient level data are used by health care professionals for clinical decision making. Data collected at the health facility level are used to make decisions related to staffing and other resource needs. The individual and facility level data can be aggregated to population level to guide decision making on public health issues, for example related to equity in the health care system. If these aggregated data are generated in a timely fashion, they can be used for public health surveillance to identify disease epidemics

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