Evidence map›Paper›PMID 31478017›Full record

ArticleBMJ global health2019

Referral transit time between sending and first-line receiving health facilities: a geographical analysis in Tanzania.

Michelle M Schmitz, Florina Serbanescu, George E Arnott, Michelle Dynes, Paul Chaote, Abdulaziz Ally Msuya, Yi No Chen

Abstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. The National Ambulance Service of Ghana: Changes in capacity and utilization over 20 years.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2024
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  9. Advancing primary care: Establishing family medicine specialty in Tanzania.African journal of primary health care & family medicine · 2023
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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

7 authors.

Michelle M SchmitzDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0001-9554-7997
Florina SerbanescuDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
George E ArnottDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Michelle DynesDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Paul ChaoteKigoma Regional Medical Office, Kigoma, Tanzania, United Republic of.
Abdulaziz Ally MsuyaAMCA Inter-Consult Ltd, Dar es Salaam, Tanzania, United Republic of.
Yi No ChenDivision of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely, high-quality obstetric services are vital to reduce maternal and perinatal mortality. We spatially modelled referral pathways between sending and receiving health facilities in Kigoma Region, Tanzania, identifying communication and transportation delays to timely care and inefficient links within the referral system.

methodsWe linked sending and receiving facilities to form facility pairs, based on information from a 2016 Health Facility Assessment. We used an AccessMod cost-friction surface model, incorporating road classifications and speed limits, to estimate direct travel time between facilities in each pair. We adjusted for transportation and communications delays to create a total travel time, simulating the effects of documented barriers in this referral system.

resultsMore than half of the facility pairs (57.8%) did not refer patients to facilities with higher levels of emergency obstetric care. The median direct travel time was 25.9 min (range: 4.4-356.6), while the median total time was 106.7 min (22.9-371.6) at the moderate adjustment level. Total travel times for 30.7% of facility pairs exceeded 2 hours. All facility pairs required some adjustments for transportation and communication delays, with 94.0% of facility pairs' total times increasing.

conclusionHalf of all referral pairs in Kigoma Region have travel time delays nearly exceeding 1 hour, and facility pairs referring to facilities providing higher levels of care also have large travel time delays. Combining cost-friction surface modelling estimates with documented transportation and communications barriers provides a more realistic assessment of the effects of inter-facility delays on referral networks, and can inform decision-making and potential solutions in referral systems within resource-constrained settings.

Indexed as

AccessModcommunicationKigomareferral systemtransportation

Identifiers

PMID31478017
PMCPMC6703299

What OpenQuestion holds

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LicenceCC BY-NC
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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.