Evidence map›Paper›PMID 29527339›Full record

ArticleBMJ global health2018

Sociocultural and health system factors associated with mortality among febrile inpatients in Tanzania: a prospective social biopsy cohort study.

Michael E Snavely, Michael J Maze, Charles Muiruri, Lilian Ngowi, Flora Mboya, Julia Beamesderfer, Glory F Makupa, Anthon G Mwingwa, Bingileki F Lwezaula, Blandina T Mmbaga and 4 more

Abstract read
In one paragraph

Article in BMJ global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

14 authors.

Michael E SnavelyDuke Global Health Institute, Duke University, Durham, North Carolina, USA.
Michael J MazeCentre for International Health, University of Otago, Dunedin, New Zealand.
Charles MuiruriDuke Global Health Institute, Duke University, Durham, North Carolina, USA.
Lilian NgowiKCMC-Duke Collaboration, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Flora MboyaKCMC-Duke Collaboration, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Julia BeamesderferPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Glory F MakupaKilimanjaro Christian Medical University College, Moshi, Tanzania.
Anthon G MwingwaKilimanjaro Christian Medical University College, Moshi, Tanzania.
Bingileki F LwezaulaMawenzi Regional Referral Hospital, Moshi, Tanzania.
Blandina T MmbagaKCMC-Duke Collaboration, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.
Venance P MaroKilimanjaro Christian Medical University College, Moshi, Tanzania.
John A CrumpCentre for International Health, University of Otago, Dunedin, New Zealand.
Jan OstermannArnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Matthew P RubachDivision of Infectious Diseases, Duke University Medical Center, Durham, North Carolina, USA.

Funding

University of California Global Health Institute Program for Fellows and ScholarsR25TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COHEN, CRAIG R, STRATHDEE, STEFFANIE A. · 2012 to 2017
$6.4M
Investigating Febrile Deaths in Tanzania (INDITe)R01AI121378 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$2.7M
The Impact and Society Ecology of Bacterial Zoonoses in Northern Tanzania: UnderR01TW009237 · FIC · DUKE UNIVERSITY · PI CRUMP, JOHN ANDREW · 2011 to 2014
$1.7M
Viral Zoonoses and Severe Febrile Illness in Northern TanzaniaK23AI116869 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$896k
Biotechnology and Biological Sciences Research Council BB/J010367/1Biotechnology and Biological Sciences Research Council BB/L018926/1FIC NIH HHS R01 TW009237FIC NIH HHS R25 TW009343NIAID NIH HHS K23 AI116869NIAID NIH HHS R01 AI121378
6 · The paper itself

Abstract

introductionCommunicable diseases are the leading causes of death in Tanzania despite the existence of effective treatment tools. We aimed to assess the sociocultural and health system factors associated with mortality from febrile illness in northern Tanzania.

methodsWe interviewed febrile inpatients to determine prevalence of barriers in seeking or receiving care and grouped these barriers using the Three Delays model (delays at home, in transport and at healthcare facilities). We assessed 6-week mortality and, after matching on age, gender and severity of illness, measured the association between delays and mortality using conditional logistic regression.

resultsWe enrolled 475 children, of whom 18 (3.8%) died, and 260 adults, of whom 34 (13.0%) died. For children, home delays were not associated with mortality. Among adults, a delay in care-seeking due to not recognising severe symptoms was associated with mortality (OR: 3.01; 95% CI 1.24 to 7.32). For transport delays, taking >1 hour to reach a facility increased odds of death in children (OR: 3.27; 95% CI 1.11 to 9.66) and adults (OR: 3.03; 95% CI 1.32 to 6.99). For health system delays, each additional facility visited was associated with mortality for children (OR: 1.59; 95% CI 1.06 to 2.38) and adults (OR: 2.00; 95% CI 1.17 to 3.41), as was spending >4 days between the first facility visit and reaching tertiary care (OR: 4.39; 95% CI 1.49 to 12.93).

conclusionOur findings suggest that delays at home, in transport and in accessing tertiary care are risk factors for mortality from febrile illness in northern Tanzania. Interventions that may reduce mortality include community education regarding severe symptoms, expanding transportation infrastructure and streamlining referrals to tertiary care for the sickest patients.

Indexed as

feverhealth services accessibilitysocial determinants of health

Identifiers

PMID29527339
PMCPMC5841511

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.