Evidence map›Paper›PMID 41605621›Full record

ArticleEmergency medicine journal : EMJ2026

Effectiveness of a village emergency care model: a pilot intervention in rural Tanzania.

Nathanael Sirili, Gimbo Hyuha, George Kiwango, Notikela Nyamle, Manase Kilonzi, Raya Mussa, Gasto Frumence, Hendry R Sawe, Juma A Mfinanga

Abstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2026. 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

9 authors.

Nathanael SiriliDepartment of Development Studies, Muhimbili University of Health and Allied Sciences School of Public Health and Social Sciences, Dar es Salaam, Tanzania, United Republic of.ORCID http://orcid.org/0000-0001-5205-624X
Gimbo HyuhaDepartment of Emergency Medicine, Muhimbili National Hospital, Dar es Salaam, Tanzania, United Republic of ghyuha@gmail.com.ORCID http://orcid.org/0000-0002-2419-4386
George KiwangoDepartment of Physiology, Muhimbili University of Health and Allied Sciences School of Medicine, Dar es Salaam, Tanzania, United Republic of.
Notikela NyamleDepartment of Development Studies, Muhimbili University of Health and Allied Sciences School of Public Health and Social Sciences, Dar es Salaam, Tanzania, United Republic of.
Manase KilonziDepartment of Clinical Pharmacy and Pharmacology, Muhimbili University of Health and Allied Sciences School of Pharmacy, Dar es Salaam, Tanzania, United Republic of.
Raya MussaDepartment of Emergency Medicine, Muhimbili National Hospital, Dar es Salaam, Tanzania, United Republic of.
Gasto FrumenceDepartment of Development Studies, Muhimbili University of Health and Allied Sciences School of Public Health and Social Sciences, Dar es Salaam, Tanzania, United Republic of.
Hendry R SaweDepartment of Emergency Medicine, Muhimbili University of Health and Allied Sciences School of Medicine, Dar es Salaam, Tanzania, United Republic of.
Juma A MfinangaDepartment of Emergency Medicine, Muhimbili National Hospital, Dar es Salaam, Tanzania, United Republic of.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency services are essential to comprehensive primary healthcare (PHC) and resilient health systems. Prior to December 2021, such services were largely unavailable at the PHC level in Tanzania. To address this gap, we designed and piloted the village emergency care (VEC) model in a rural Tanzanian village. This study evaluates the VEC model's effectiveness 1 year after implementation.

methodsA before-and-after sequential mixed-methods design was used. A community survey assessed changes in emergency care access among 191 participants at baseline and 270 postinterventions. Quantitative data were analysed using descriptive statistics and Pearson's χ² tests to assess preintervention and postintervention differences at a 5% significance level. Qualitative insights were obtained through three interviews with village leaders and healthcare providers, and one focus group with 10 community members, including members of the village health committee, at each phase. The primary outcome was perceived change in access, encompassing availability, acceptability, accommodation, affordability and physical accessibility. Secondary outcomes included awareness, satisfaction and perceived barriers. Qualitative data were analysed thematically.

resultsAvailability of emergency services increased from 61.0% to 84.4% (χ²=22.47, p<0.001), satisfaction from 12.0% to 88.5% (χ²=187.6, p<0.001) and awareness from 90.1% to 97.0% (χ²=9.03, p=0.003). Cultural barriers declined from 17.3% to 5.2% (χ²=18.56, p<0.001). Perceived affordability rose from 9.0% to 51.1% (χ²=56.91, p<0.001), however, cost remained a barrier, rising from 16.0% to 35.5% (χ²=4.81, p=0.028). Qualitative findings underscored greater awareness and trust in services but identified persistent financial barriers, particularly for high-cost treatments like antivenom. Health insurance coverage remained limited, with many relying on out-of-pocket payments.

conclusionThe VEC model significantly improved awareness, satisfaction and access to emergency care in a rural PHC setting. Expanding insurance literacy and coverage, alongside cost transparency and future cost-effectiveness analyses, is recommended to support equitable national scale-up.

Indexed as

Emergency Medical ServicesHealth Services AccessibilityRural Health ServicesAccess to Primary CareAdultFemaleFocus GroupsHumansMaleMiddle AgedPilot ProjectsRural PopulationSurveys and QuestionnairesTanzaniaeffectivenessemergency care systemsemergency departmentsHealth Services Researchprimary care

Identifiers

PMID41605621
PMCPMC13479220

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.