Evidence map›Paper›PMID 35213555›Full record

ArticlePloS one2022

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

Carla Pezzulo, Victor A Alegana, Andrew Christensen, Omar Bakari, Andrew J Tatem

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Carla PezzuloWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom.ORCID 0000-0003-4775-1787
Victor A AleganaWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom.ORCID 0000-0001-5177-9227
Andrew ChristensenWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom.
Omar BakariTanzania DataLab (dLab), Dar es Salaam, Tanzania.
Andrew J TatemWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom.

Funding

Wellcome Trust 211208/Z/18/Z
6 · The paper itself

Abstract

backgroundSustainable 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.

methodsNationally 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.

resultsAge 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.

conclusionsIndividual 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.

Indexed as

AbsenteeismEducational StatusPovertySchoolsAdolescentChildFemaleHumansMaleSocioeconomic FactorsTanzania

Identifiers

PMID35213555
PMCPMC8880958

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.