Evidence map›Paper›PMID 38500138›Full record

ArticleItalian journal of pediatrics2024

Factors associated with hospitalization in a pediatric population of rural Tanzania: findings from a retrospective cohort study.

Vincenzo Mancini, Martina Borellini, Paolo Belardi, Maria Carolina Colucci, Emanuel Yuda Kadinde, Christina Mwibuka, Donald Maziku, Pasquale Parisi, Anteo Di Napoli

Open access · goldAbstract read
In one paragraph

Article in Italian journal of pediatrics, 2024. 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
1.1field-weighted citation impact, top 22% of its field
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 citations in OpenAlex.

  1. Demographics of paediatric trauma at a zonal referral hospital for northwestern Tanzania: A cross-sectional study.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2025
    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

9 authors at 3 institutions in 3 countries.

Vincenzo ManciniChair of Pediatrics, NESMOS department, Faculty of Medicine & Psychology, Sapienza University, Rome, Italy.
Martina BorelliniDoctors with Africa CUAMM, Iringa, Tanzania.
Paolo BelardiDoctors with Africa CUAMM, Iringa, Tanzania.
Maria Carolina ColucciChair of Pediatrics, NESMOS department, Faculty of Medicine & Psychology, Sapienza University, Rome, Italy.
Emanuel Yuda KadindeTosamanga Voluntary Agency Hospital, Tosamanga, Tanzania.
Christina MwibukaTosamanga Voluntary Agency Hospital, Tosamanga, Tanzania.
Donald MazikuDoctors with Africa CUAMM, Iringa, Tanzania.
Pasquale ParisiChair of Pediatrics, NESMOS department, Faculty of Medicine & Psychology, Sapienza University, Rome, Italy.
Anteo Di NapoliEpidemiolgy Unit, National Institute for Health Migration and Poverty (INMP), Via di San Gallicano, 25a - 00153, Rome, Italy. anteo.dinapoli@inmp.it.ORCID http://orcid.org/0000-0003-3207-8761
Iringa Mercy Organization · TZSapienza University of Rome · ITNational Institute of Health · AM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite pediatric acute illnesses being leading causes of death and disability among children, acute and critical care services are not universally available in low-middle income countries, such as Tanzania, even if in this country significant progress has been made in child survival, over the last 20 years. In these countries, the hospital emergency departments may represent the only or the main point of access to health-care services. Thus, the hospitalization rates may reflect both the health system organization and the patients' health status. The purpose of the study is to describe the characteristics of clinical presentations to a pediatric Outpatient Department (OPD) in Tanzania and to identify the predictive factors for hospitalization.

methodsRetrospective cohort study based on 4,324 accesses in the OPD at Tosamaganga Voluntary Agency Hospital (Tanzania). Data were collected for all 2,810 children (aged 0-13) who accessed the OPD services, within the period 1 January - 30 September 2022. The association between the hospitalization (main outcome) and potential confounding covariates (demographic, socio-contextual and clinical factors) was evaluated using univariate and multivariate logistic regression models.

resultsFive hundred three (11.6%) of OPD accesses were hospitalized and 17 (0.4%) died during hospitalization. A higher (p < 0.001) risk of hospitalization was observed for children without health insurance (OR = 3.26), coming from more distant districts (OR = 2.83), not visited by a pediatric trained staff (OR = 3.58), and who accessed for the following conditions: burn/wound (OR = 70.63), cardiovascular (OR = 27.36), constitutional/malnutrition (OR = 62.71), fever (OR = 9.79), gastrointestinal (OR = 8.01), respiratory (OR = 12.86), ingestion/inhalation (OR = 17.00), injury (OR = 6.84).

conclusionsThe higher risk of hospitalization for children without health insurance, and living far from the district capital underline the necessity to promote the implementation of primary care, particularly in small villages, and the establishment of an efficient emergency call and transport system. The observation of lower hospitalization risk for children attended by a pediatric trained staff confirm the necessity of preventing admissions for conditions that could be managed in other health settings, if timely evaluated.

Indexed as

Ambulatory CareHospitalizationChildHumansLogistic ModelsRetrospective StudiesTanzaniaEmergency servicesHospitalizationLow-income countryPediatricsPredictive factorsTanzania

Identifiers

PMID38500138
PMCPMC10949679
OpenAlexW4392904734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.