PopDev study dataset - Codebook

Persisent Identifier

https://doi.org/10.17037/DATA.13

Description

Quantitative data from a prospective cohort study of 839 pregnant and/or postpartum women who were between seven months gestation and three months postpartum at recruitment. Participants were interviewed three times over a nine month period. The cohort is a population-representative sample of parturient women in the commune of Bobo-Dioulasso, Burkina Faso. Data were collected relating to socio-demographic characteristics; household assets; reproductive history; women’s work and occupation including both income-generating and non-income generating activities; birth and postpartum preparedness; characteristics of the index delivery; contraceptive history and current use; fertility preferences; health-related functioning (ability to carry out usual daily activities); haemoglobin level; mental health measured through the K10 scale; time use diary; household food security scale

The full dataset contains information that may be used to re-identify study participants and, as a result, cannot be made openly available for ethical and legal reasons. However, researchers wishing to analyse the data for health research may apply to access a subset of the data that excludes identifiable information. Applications will be handled as follows:

• The applicant completes a data request form, providing details on the research that they wish to perform and the variables needed for the analysis. The exact variable name should be stated, as outlined in the document.
• The application will be reviewed by a study data access committee and a decision made within 8 weeks
• If the variables requested can be provided without risk of re-identification and the proposed use complies with the study ethical and legal agreements, the requester and/or other relevant parties will be asked to sign a Data Transfer Agreement outlining access and use conditions
• Once signed, a refined dataset containing the requested variables will be generated. Additional de-identification techniques will be applied to reduce the risk of re-identification.
• The applicant will be provided with a copy of the refined dataset

The full variable labels can be found in the questionnaires for the relevant survey round. Please contact Professor Jenny Cresswell for further information on the research and/or dataset.

phase1_femme codebook

phase1_menage codebook

phase2_femme codebook

phase3_femme

sampling weight dataset