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Record W4412794499 · doi:10.1186/s12913-025-13173-y

Morbidity and health seeking behavior among children and adolescents (0–19 years): a household survey assessment in Northwestern Tanzania

2025· article· en· W4412794499 on OpenAlexafffund
Sophia Kagoye, Jim Todd, Milly Marston, Mark Urassa, Eveline T. Konje, Ties Boerma

Bibliographic record

VenueBMC Health Services Research · 2025
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Manitoba
FundersFogarty International CenterGlobal Affairs CanadaCanada Research Chairs
KeywordsMedicineTanzaniaPublic healthPoisson regressionPsychological interventionPopulationHealth facilityDemographyEnvironmental healthPediatricsPsychiatryHealth services

Abstract

fetched live from OpenAlex

BACKGROUND: Information on morbidity and health-seeking behavior beyond early childhood is crucial for planning evidence-based interventions. Currently, data is limited to children under five. This study introduces a method for estimating morbidity and health-seeking behavior in older children and adolescents (5-19 years) using women's birth histories from a household survey in northwestern Tanzania, comparing it with data on children under five. METHODS: We conducted a household survey among women 15-49 years as part of the Magu Health and Demographic Surveillance from October 2020 to November 2021, including 16,896 children aged 0-19 living with their mothers. The study outcomes were the prevalence of reported illness in the last four weeks and health-seeking behavior, defined as visiting a health facility for recent illness. Modified Poisson regression analysis was performed, accounting for mothers as clusters and adjusting for child and mother characteristics. We compared the prevalence of recent illness and health-seeking behavior among older children and adolescents (5-19 years) with children under five within the same population. RESULTS: Morbidity presented as the prevalence of any illness decreased with age, from 26.1% in children under-five to 10.4% among adolescents aged 15-19. Health seeking behavior also decreased with age, from 48.2% in children under-five to nearly 30% among adolescents aged 15-19. Types of illnesses reported were similar across age groups, with Fever/Malaria accounting more than two-thirds, followed by respiratory tract illnesses. Higher illness prevalence was noted in rural areas for both age groups. Health seeking behavior was higher among mothers with secondary education and above for both children under-fives (APR:1.22;95% CI: 1.02, 1.47) and 5-19-year-olds (APR: 1.31; 95% CI:1.01, 1.70). Additionally, those with health insurance also reported higher health seeking behavior (APR: 1.38; 95% CI:1.07, 1.78), while lower for children in rural households (APR: 0.72; 95% CI:0.61, 0.83), for 5-19-year-olds. CONCLUSIONS: Our findings on morbidity and health-seeking behavior demonstrate the importance of extending health monitoring beyond early childhood. The inequalities identified point to gaps in programming and health service delivery that require attention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.433
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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