Community based intervention to prevent domestic violence against women in the reproductive age in Northwestern Ethiopia: a protocol for quasi-experimental study

Agumasie Semahegn, Kwasi Torpey, Abubakar Manu, Nega Assefa, Augustine Ankomah, Agumasie Semahegn, Kwasi Torpey, Abubakar Manu, Nega Assefa, Augustine Ankomah

Abstract

Background: Violence against women is a well understood devastating global pandemic, and human right violation. One in three women experienced intimate partner violence worldwide. In Ethiopia, the level of domestic violence against women is one of the highest in the world. However, Ethiopia is signatory for various conventions and incorporated in legal frameworks. Nevertheless, effective implementation of the existing policy documents, and engaging different stakeholders is very limited. Therefore, we aimed to pilot feasibility of implementing available research evidence and policy documents at community level to prevent domestic violence against women in Awi zone, northwestern Ethiopia.

Methods: A community-based quasi-experimental study design will be employed using mixed method. Multistage stratified systematic sampling and purposive sampling will be used to recruit quantitative and qualitative study participants, respectively. A total of 1,269 women will be participated in the intervention, active comparator and control groups. Pre and post-test quantitative data will be collected using face-to-face interview. Qualitative data will be collected through in-depth, key informant interview and focus group discussions.

Intervention: advocacy meeting will be held to persuade local politicians and sustain the implementation of community based intervention to prevent domestic violence against women. Community representatives will be trained to enhance peer education to promote community awareness and engage stakeholders to transform the traditional gender norm within local context. Awareness creation and husband involvement will be made through integrating the intervention with community health extension program. Only husband involvement will not be promoted in the active comparator to test the role of husband involvement on the domestic violence prevention activities. Intervention progress will be monitored regularly. Gathered data will be entered in Epidata and exported to SPSS (23.0) software for analysis. Descriptive statistics, logistic regressions, intention to treat analysis and difference in differences will be computed. Qualitative data will be transcribed, color coded, thematically analyzed and arranged using Nvivo.

Discussion: This interventional study is aimed to design, pilot and translate proven research evidence, agreed conventions and country policy document to real setting implementation. We are expecting to initiate implementation of culturally acceptable intervention through engaging stakeholders. Policy makers, planners and any concerned bodies will be benefited.

Trial registration: ClinicalTrials.gov ID: NCT03265626.

Keywords: Community; Domestic violence; Ethiopia; Intervention implementation; Women.

Conflict of interest statement

Ethics approval and consent to participate

Ethical approval is obtained from Institutional Health Research Ethical Review Committee at College of Health and Medical Sciences at Haramaya University (Ref.No.IHRERC/146/2017). The purpose of the study will be explained and informed consent will secured from study participants. All participants’ information will be kept confidential anonymously. Alternative questionnaire will provide to data collectors to minimize breach of confidentiality in case of third person comes while interviewing.

Consent for publication

Not applicable

Competing interests

The authors declare that have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Conceptual framework adapted from ecological model
Fig. 2
Fig. 2
Illustration of quasi-experimental design for intervention implementation
Fig. 3
Fig. 3
diagrammatic show of the sequential explanatory mixed-method data collection process
Fig. 4
Fig. 4
Schematic presentation of Interacting domains using CFIR

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