# Towards a common understanding of gender-responsive monitoring and evaluation for health programs and interventions: Evidence from a scoping review

**Authors:** Anna Kalbarczyk, Daniel Krugman, Shatha Elnakib, Elizabeth Hazel, Amy Luo, Anju Malhotra, Rosemary Morgan

PMC · DOI: 10.1016/j.ssmhs.2025.100059 · SSM - health systems · 2026-02-27

## TL;DR

This paper reviews how gender is integrated into health program monitoring and evaluation, aiming to clarify best practices and approaches.

## Contribution

The study provides a synthesis of methods and frameworks for making monitoring and evaluation gender responsive.

## Key findings

- Most studies incorporated gender domains in analysis even without specific gender frameworks.
- Twelve articles used a gender score, often based on Likert scales for gender equity.
- Seven studies used participatory methods in designing gender-responsive M&E.

## Abstract

Given the many approaches to and definitions of gender responsive monitoring and evaluation (M&E) for health programs and interventions there is a lack of clarity on how to operationalize it including what to measure and how to measure it. We conducted a scoping review to understand what makes M&E gender responsive. We included 31 studies and conducted two rounds of extraction to delineate ways in which gender was integrated into M&E. Twelve articles described the use of theory to guide M&E though most were not related to gender. Twelve articles employed a gender score in data collection, most of which measured Likert scale responses related to gender equity. Even though most studies did not use a specific gender framework, most incorporated gender domains in their analysis. Seven studies used participatory methods in the design and implementation of M&E. Most studies conducted M&E on programs or interventions that were designed to be gender intentional and related to gender issues. Gender responsive M&E intentionally integrates gender into the M&E process, regardless of how gender-intentional the program or intervention is. Gender dimensions can be identified through gender theories, models, scores, and frameworks to inform tool development, data collection, analysis, and stakeholder engagement processes.

## Full-text entities

- **Diseases:** AIDS (MESH:D000163), M&amp;E (MESH:C566367), HIV (MESH:D015658), IPV (MESH:C563733)
- **Species:** Human immunodeficiency virus 1 (no rank) [taxon 11676], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

46 references — full list in the complete paper: https://tomesphere.com/paper/PMC12945375/full.md

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Source: https://tomesphere.com/paper/PMC12945375