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Evaluation considerations for community-based gender-informed health interventions.

Elaine M Walker1

  • 1Department of Education Leadership, Management & Policy, College of Education, Seton Hall University, 400 South Orange Avenue, South Orange, NJ 07079, United States.

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|January 17, 2015
PubMed
Summary
This summary is machine-generated.

This study addresses methodological rigor in gender-based intervention evaluations. It proposes enhanced community and individual-level assessment methods for better outcome measurement and long-term impact documentation.

Keywords:
Appreciative inquiryAutobiographical narrativeSocial norms

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Area of Science:

  • Public Health
  • Sociology
  • Program Evaluation

Background:

  • Evaluations of gender-based interventions often lack methodological rigor.
  • Complex intervention designs and measurement challenges hinder impact assessment.

Purpose of the Study:

  • To propose improved evaluation methods for gender-based interventions at community and individual levels.
  • To enhance the measurement of intervention outcomes and long-term effects.

Main Methods:

  • Utilizing organizational theory and narrative inquiry (e.g., appreciative inquiry) for community-level intervention design examination.
  • Employing policy analysis, multilevel modeling, and social conversations to measure community-level effects on gender norms.
  • Advocating for rigorous evaluation designs and incorporating methodologies like autobiographical narratives for individual-level outcomes.

Main Results:

  • The proposed methods offer a framework for more robust evaluation of gender-based interventions.
  • Enhanced measurement strategies can better capture community and individual-level impacts.
  • Increased specificity in defining expected outcomes and documenting long-term effects is crucial.

Conclusions:

  • Implementing suggested methodologies can significantly improve the quality and validity of gender-based intervention evaluations.
  • A multi-method approach is essential for capturing the complexity of intervention effects.
  • Future evaluations should prioritize rigor, specificity, and long-term impact assessment.