Publication

Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls

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Last modified
  • 05/15/2025
Type of Material
Authors
    JL Brown, University of CincinnatiJessica Sales, Emory UniversityC Sharp, University of HoustonJ Cloete, University of the Free StateM Lenka, University of the Free StateK Rani, University of the Free StateP Marime, University of the Free StateI Ditlhare, University of the Free StateR Moqolo, University of the Free StateD Peterson, University of the Free StateL Marais, University of the Free State
Language
  • English
Date
  • 2018-01-01
Publisher
  • Bill & Melinda Gates Foundation
Publication Version
Copyright Statement
  • 2018 South African Journal of Child Health
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 12
Issue
  • Special Issue
Start Page
  • S40
End Page
  • S43
Grant/Funding Information
  • This study was funded by the Bill & Melinda Gates Foundation (OPP1161907; Brown: PI). The project described was also supported by the National Center for Advancing Translational Sciences of the National Institutes of Health, under Award Number UL1TR000077. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or the Bill & Melinda Gates Foundation.
Abstract
  • Background. Cultural consensus modelling (CCM) is an approach whereby individuals define the boundaries regarding a set of knowledge or behaviours shared by a group within a culture using an ethnographic approach. Objectives. To provide an overview of CCM methods and the application of CCM to examine South African adolescent girls’ contraceptive and HIV prevention practices. Methods. In phase 1 of a CCM approach, individuals respond to questions about their culture rather than their individual behaviours, allowing individuals to draw upon a shared cultural knowledge. Utilising these identified group beliefs, phase 2 asks individuals to rate the extent to which factors identified in phase 1 are valued. Phase 3 utilises qualitative interviews with key informants from phase 2 to gather in-depth information regarding the identified determinants of the health behaviour. Lastly, phase 4 of this approach conducts a quantitative survey to determine the extent to which cultural consensus model types are associated with differences in actual behaviours. Results. CCM data analytic approaches are described. Frequencies and descriptive statistics for the free listing are conducted. For phase 2, cultural consensus analysis is conducted to examine whether one or several consensus models exist and competence scores are calculated. Standard qualitative analysis approaches are utilised for phase 3. Phase 4 employs regression to examine the association between cultural models and an outcome of interest. Conclusion. CCM provides a novel, culturally sensitive understanding of reproductive health practices among South African adolescent girls; CCM also has broad applicability to other adolescent health research domains.
Author Notes
Keywords
Research Categories
  • Health Sciences, Health Care Management
  • Economics, General
  • Psychology, Behavioral
  • Health Sciences, Human Development

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