Gender integration and female participation in scientific and health research in Zambia: a descriptive cross-sectional study protocol. Issue 3 (6th March 2023)

• Record Type: Journal Article
• Authors: Sialubanje, Cephas; Sumbwa, Phyllis Ingutu; Zulu, Nyondwa; Mwanza, Nchimunya B; Chavula, Malizgani Paul; Zulu, Joseph
• Is Part Of: BMJ open. Volume 13:Issue 3(2023)
• Publication Date: 2023-03-06
• Subjects: HEALTH SERVICES ADMINISTRATION & MANAGEMENT -- Health policy -- Human resource management; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2022-064139
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Introduction: Despite the Zambian government making progress on prioritising gender mainstreaming, female participation in science, technology and innovation in academia, research and development is still low. This study aims to determine the integration of gender dimensions and the factors that influence female participation in science and health research in Zambia. Methods and analysis: We propose a descriptive cross-sectional study design employing in-depth interviews (IDIs) and survey as data collection techniques. Twenty schools offering science-based programmes will be purposively selected from University of Zambia (UNZA), Copperbelt University, Mulungushi University and Kwame Nkrumah University. In addition, two research institutions, Tropical Disease Research Centre and Mount Makulu Agricultural Research Station, will be included. Survey respondents will include a random sample of 1389 academic and research staff from the selected schools. A total of 30 IDIs will be conducted with staff and heads of selected schools and research institutions. Data collection will be conducted over a 12-month period. Before commencement of data collection, in-depth literature search and record review on gender dimensions in science and health research will be conducted to gain insight into the subject matter and inform research instrument design. Survey data and IDIs will be collected using a structured paper-based questionnaire and semistructured interview guide, respectively. Descriptive statistics will be computed to summarise respondents' characteristics. Bivariate analysis (χ 2 test and independent t-test) and multivariate regression analysis will be conducted to test the association and identify factors influencing female participation in science and health research (adjusted ORs, p<0.05). An inductive approach will be used to analyse qualitative data using NVivo. Survey and IDI will be corroborated. Ethics and dissemination: This study involves human participants and was approved by UNZA Biomedical Research Ethics Committee (UNZABREC; UNZA BREC 1674-2022). Participants gave informed consent to participate in the study before taking part. Study findings will be disseminated through a written report, stakeholder meetings and publication in a peer-reviewed international journal.