Health extension service utilization in Ethiopia: systematic review and meta-analysis

Misganaw Guadie Tiruneh; Eneyew Talie Fenta; Destaw Endeshaw; Amare Mebrat Delie; Ousman Adal; Abiyu Abadi Tareke; Eyob Ketema Bogale; Tadele Fentabel Anagaw

doi:10.1186/s12913-024-11038-4

Health extension service utilization in Ethiopia: systematic review and meta-analysis

BMC Health Serv Res. 2024 Apr 26;24(1):537. doi: 10.1186/s12913-024-11038-4.

Authors

Misganaw Guadie Tiruneh¹, Eneyew Talie Fenta², Destaw Endeshaw³, Amare Mebrat Delie², Ousman Adal⁴, Abiyu Abadi Tareke⁵, Eyob Ketema Bogale⁶, Tadele Fentabel Anagaw⁶

Affiliations

¹ Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, P.O. Box: 196, Gondar, Ethiopia. mguadie41@gmail.com.
² Department of Public Health, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.
³ Department of Adult Health Nursing, School of Health Sciences, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
⁴ Department of Emergency and Critical Care Nursing, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
⁵ Amref Health Africa in Ethiopia, SLL project COVID-19/EPI technical assistant at West Gondar Zonal Health Department, Gondar, Ethiopia.
⁶ Department of Health Promotion and Behavioral Sciences, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, PO. Box.079, Bahir Dar, Ethiopia.

Abstract

Introduction: Ethiopia strives to achieve Universal Health Coverage (UHC) through Primary Health Care (PHC) by expanding access to services and improving the quality and equitable comprehensive health services at all levels. The Health Extension Program (HEP) is an innovative strategy to deliver primary healthcare services in Ethiopia and is designed to provide basic healthcare to approximately 5000 people through a health post (HP) at the grassroots level. Thus, this review aimed to assess the magnitude of health extension service utilization in Ethiopia.

Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist guideline was used for this review and meta-analysis. The electronic databases (PubMed, Cochrane Library, and African Journals Online) and search engines (Google Scholar and Grey literature) were searched to retrieve articles by using keywords. The Joanna Briggs Institute (JBI) meta-analysis of statistics assessment and review instrument was used to assess the quality of the studies. Heterogeneity was assessed using the I² statistic. The meta-analysis with a 95% confidence interval using STATA 17 software was computed to present the pooled utilization of health extension services. Publication bias was assessed by visually inspecting the funnel plot and statistical tests using Egger's and Begg's tests.

Result: 22 studies were included in the systematic review with a total of 28,171 participants, and 8 studies were included in the meta-analysis. The overall pooled magnitude of health extension service utilization was 58.5% (95% CI: 40.53, 76.48%). In the sub-group analysis, the highest pooled proportion of health extension service utilization was 60.42% (28.07, 92.77%) in the mixed study design, and in studies published after 2018, 59.38% (36.42, 82.33%). All studies were found to be within the confidence interval of the pooled proportion of health extension service utilization in leave-out sensitivity analysis.

Conclusions: The utilization of health extension services was found to be low compared to the national recommendation. Therefore, policymakers and health planners should come up with a wide variety of health extension service utilization strategies to achieve universal health coverage through the primary health care.

Keywords: Ethiopia; Health extension services; Meta-analysis; Utilization.

Publication types

Systematic Review
Meta-Analysis

MeSH terms

Ethiopia
Health Services Accessibility / statistics & numerical data
Humans
Patient Acceptance of Health Care / statistics & numerical data
Primary Health Care* / statistics & numerical data
Universal Health Insurance / statistics & numerical data