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

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 examin...

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Autores principales: Brown, J L, Sales, J M, Sharp, C, Cloete, J, Lenka, M, Rani, K, Marime, P, Ditlhare, I, Moqolo, R, Peterson, D, Marais, L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Health and Medical Pub. Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745120/
https://www.ncbi.nlm.nih.gov/pubmed/33488979
http://dx.doi.org/10.7196/SAJCH.2018.v12i2.1500
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author Brown, J L
Sales, J M
Sharp, C
Cloete, J
Lenka, M
Rani, K
Marime, P
Ditlhare, I
Moqolo, R
Peterson, D
Marais, L
author_facet Brown, J L
Sales, J M
Sharp, C
Cloete, J
Lenka, M
Rani, K
Marime, P
Ditlhare, I
Moqolo, R
Peterson, D
Marais, L
author_sort Brown, J L
collection PubMed
description 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.
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spelling pubmed-77451202021-01-22 Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls Brown, J L Sales, J M Sharp, C Cloete, J Lenka, M Rani, K Marime, P Ditlhare, I Moqolo, R Peterson, D Marais, L SAJCH Article 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. Health and Medical Pub. Group 2018 2018 /pmc/articles/PMC7745120/ /pubmed/33488979 http://dx.doi.org/10.7196/SAJCH.2018.v12i2.1500 Text en © 2018 South African Journal of Child Health http://creativecommons.org/licenses/by-nc-nd/4.0/ This open-access article is distributed under Creative Commons licence CC-BY-NC 4.0.
spellingShingle Article
Brown, J L
Sales, J M
Sharp, C
Cloete, J
Lenka, M
Rani, K
Marime, P
Ditlhare, I
Moqolo, R
Peterson, D
Marais, L
Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls
title Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls
title_full Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls
title_fullStr Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls
title_full_unstemmed Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls
title_short Cultural consensus modelling to understand the reproductive health needs of South African adolescent girls
title_sort cultural consensus modelling to understand the reproductive health needs of south african adolescent girls
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745120/
https://www.ncbi.nlm.nih.gov/pubmed/33488979
http://dx.doi.org/10.7196/SAJCH.2018.v12i2.1500
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