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Understanding factors associated with attending secondary school in Tanzania using household survey data

BACKGROUND: Sustainable Development Goal (SDG) 4 aims to ensure inclusive and equitable access for all by 2030, leaving no one behind. One indicator selected to measure progress towards achievement is the participation rate of youth in education (SDG 4.3.1). Here we aim to understand drivers of scho...

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Autores principales: Pezzulo, Carla, Alegana, Victor A., Christensen, Andrew, Bakari, Omar, Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880958/
https://www.ncbi.nlm.nih.gov/pubmed/35213555
http://dx.doi.org/10.1371/journal.pone.0263734
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author Pezzulo, Carla
Alegana, Victor A.
Christensen, Andrew
Bakari, Omar
Tatem, Andrew J.
author_facet Pezzulo, Carla
Alegana, Victor A.
Christensen, Andrew
Bakari, Omar
Tatem, Andrew J.
author_sort Pezzulo, Carla
collection PubMed
description BACKGROUND: Sustainable Development Goal (SDG) 4 aims to ensure inclusive and equitable access for all by 2030, leaving no one behind. One indicator selected to measure progress towards achievement is the participation rate of youth in education (SDG 4.3.1). Here we aim to understand drivers of school attendance using one country in East Africa as an example. METHODS: Nationally representative household survey data (2015–16 Tanzania Demographic and Health Survey) were used to explore individual, household and contextual factors associated with secondary school attendance in Tanzania. These included, age, head of household’s levels of education, gender, household wealth index and total number of children under five. Contextual factors such as average pupil to qualified teacher ratio and geographic access to school were also tested at cluster level. A two-level random intercept logistic regression model was used in exploring association of these factors with attendance in a multi-level framework. RESULTS: Age of household head, educational attainments of either of the head of the household or parent, child characteristics such as gender, were important predictors of secondary school attendance. Being in a richer household and with fewer siblings of lower age (under the age of 5) were associated with increased odds of attendance (OR = 0.91, CI 95%: 0.86; 0.96). Contextual factors were less likely to be associated with secondary school attendance. CONCLUSIONS: Individual and household level factors are likely to impact secondary school attendance rates more compared to contextual factors, suggesting an increased focus of interventions at these levels is needed. Future studies should explore the impact of interventions targeting these levels. Policies should ideally promote gender equality in accessing secondary school as well as support those families where the dependency ratio is high. Strategies to reduce poverty will also increase the likelihood of attending school.
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spelling pubmed-88809582022-02-26 Understanding factors associated with attending secondary school in Tanzania using household survey data Pezzulo, Carla Alegana, Victor A. Christensen, Andrew Bakari, Omar Tatem, Andrew J. PLoS One Research Article BACKGROUND: Sustainable Development Goal (SDG) 4 aims to ensure inclusive and equitable access for all by 2030, leaving no one behind. One indicator selected to measure progress towards achievement is the participation rate of youth in education (SDG 4.3.1). Here we aim to understand drivers of school attendance using one country in East Africa as an example. METHODS: Nationally representative household survey data (2015–16 Tanzania Demographic and Health Survey) were used to explore individual, household and contextual factors associated with secondary school attendance in Tanzania. These included, age, head of household’s levels of education, gender, household wealth index and total number of children under five. Contextual factors such as average pupil to qualified teacher ratio and geographic access to school were also tested at cluster level. A two-level random intercept logistic regression model was used in exploring association of these factors with attendance in a multi-level framework. RESULTS: Age of household head, educational attainments of either of the head of the household or parent, child characteristics such as gender, were important predictors of secondary school attendance. Being in a richer household and with fewer siblings of lower age (under the age of 5) were associated with increased odds of attendance (OR = 0.91, CI 95%: 0.86; 0.96). Contextual factors were less likely to be associated with secondary school attendance. CONCLUSIONS: Individual and household level factors are likely to impact secondary school attendance rates more compared to contextual factors, suggesting an increased focus of interventions at these levels is needed. Future studies should explore the impact of interventions targeting these levels. Policies should ideally promote gender equality in accessing secondary school as well as support those families where the dependency ratio is high. Strategies to reduce poverty will also increase the likelihood of attending school. Public Library of Science 2022-02-25 /pmc/articles/PMC8880958/ /pubmed/35213555 http://dx.doi.org/10.1371/journal.pone.0263734 Text en © 2022 Pezzulo et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pezzulo, Carla
Alegana, Victor A.
Christensen, Andrew
Bakari, Omar
Tatem, Andrew J.
Understanding factors associated with attending secondary school in Tanzania using household survey data
title Understanding factors associated with attending secondary school in Tanzania using household survey data
title_full Understanding factors associated with attending secondary school in Tanzania using household survey data
title_fullStr Understanding factors associated with attending secondary school in Tanzania using household survey data
title_full_unstemmed Understanding factors associated with attending secondary school in Tanzania using household survey data
title_short Understanding factors associated with attending secondary school in Tanzania using household survey data
title_sort understanding factors associated with attending secondary school in tanzania using household survey data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880958/
https://www.ncbi.nlm.nih.gov/pubmed/35213555
http://dx.doi.org/10.1371/journal.pone.0263734
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