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Published on: May 8, 2018
Evaluation of the community-based outpatient therapeutic feeding program implementation for managing children with
Wubet Worku Takele1, Amare Demsie Ayele2, Tsegaye Gebremedhin Haile3
1Department of Community Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Insights
This study evaluated Ethiopia
Area of Science:
- Public Health
- Malnutrition Research
- Healthcare Program Evaluation
Background:
- Community-based outpatient therapeutic feeding programs (C-OTP) in Ethiopia aim to manage severe acute malnutrition (SAM) in children.
- Trained Health Extension Workers (HEWs) deliver C-OTP, targeting rural and underserved populations.
- Suboptimal implementation and service quality may lead to poor treatment outcomes, including mortality and prolonged recovery.
Purpose of the Study:
- To evaluate the implementation of C-OTP for managing uncomplicated SAM in Ethiopia's Central Gondar Zone.
- Identify gaps in C-OTP service delivery and healthcare systems.
- Provide evidence for improving C-OTP program effectiveness.
Main Methods:
- Mixed-methods approach combining qualitative and quantitative data collection.
- Assessed availability of essential resources, program acceptability, HEW compliance, and treatment outcomes.
- Utilized questionnaires, focus group discussions, in-depth interviews, and medical record reviews.
- Included HEWs, mothers/caregivers, supervisors, and administrators; analyzed data using logistic regression and thematic content analysis.
Main Results:
- (Results not yet available in the provided abstract)
Conclusions:
- (Conclusions not yet available in the provided abstract)
Background:
Community-based outpatient therapeutic feeding program (C-OTP) in Ethiopia has been launched to manage uncomplicated severe acute malnutrition (SAM) by trained Health Extension Workers (HEWs). This program is believed to be the most effective strategy for reaching a large group of children suffering from SAM in rural and disadvantaged communities. Nonetheless, poor treatment outcomes, notably mortality and prolonged recovery time, become pressing public health problems, which could be a result of suboptimal implementation and poor service quality.
Objectives:
To evaluate the implementation of C-OTP for managing uncomplicated severe acute malnutrition in the Central Gondar Zone.
Methods:
Multiple studies involving both qualitative and quantitative will be conducted. Availability of essential drugs and equipment, acceptability of the program by mothers/caregivers, health extension workers' compliance to the treatment protocol, and treatment outcome will be assessed employing different methods. Likewise, knowledge of health extension workers about SAM diagnosis and management and their skills to diagnose and manage uncomplicated malnutrition will be determined. Health extension workers, mothers/caregivers, supervisors, and healthcare administrators will be enrolled in the study. Besides, children's medical records registered between 2017 and 2020 will be reviewed to determine the treatment outcome. The data will be collected using pretested self-administered and face-to-face interviewer-administered questionnaires. Similarly, focus group discussions (FGDs), in-depth interviews, and observation checklists will be applied. Binary logistic regression analysis will be conducted, while the qualitative data will be analyzed using thematic content analysis.
Discussion:
Severe acute malnutrition is a public health problem that remains the underlying cause for over half of under-five mortality in Ethiopia. As a result, community-based therapeutic care has been launched in the country to address these problems and maximize population-level impact by improving treatment coverage, access, and cost-effectiveness. Despite its achievement, the program has been threatened with unfavourable treatment outcomes and a shortfall of resources. Hence, this implementation evaluation study will also identify gaps between healthcare systems and service users. The output will help programmers pass evidence-based and sound decisions to tackle the key barriers.
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