Evidence map›Paper›PMID 34912547›Full record

ArticleJournal of global health2021

Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan.

Amnesty E LeFevre, Fatima Mir, Dipak K Mitra, Shabina Ariff, Diwakar Mohan, Imran Ahmed, Shazia Sultana, Peter J Winch, Sadia Shakoor, Nicholas E Connor and 12 more

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

22 authors at 5 institutions in 6 countries.

Amnesty E LeFevreSchool of Public Health and Family Medicine, University of Cape Town, Cape Town, Western Cape, South Africa.
Fatima MirDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Dipak K MitraDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Shabina AriffDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Diwakar MohanDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Imran AhmedDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Shazia SultanaDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Peter J WinchDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Sadia ShakoorDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Nicholas E ConnorThe Child Health Research Foundation, Department of Microbiology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Mohammad Shahidul IslamThe Child Health Research Foundation, Department of Microbiology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Shams El-ArifeenCentre for Child and Adolescent Health, icddr,b, Dhaka, Bangladesh.
M A QuaiyumCentre for Child and Adolescent Health, icddr,b, Dhaka, Bangladesh.
Abdullah H BaquiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Michael G GravettUniversity of Washington, Departments of Obstetrics & Gynecology and of Global Health, Seattle, Washington, USA.
Mathuram SantoshamDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Zulfiqar A BhuttaCentre of Excellence in Women & Child Health, The Aga Khan University, Karachi, Pakistan.
Anita ZaidiDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Samir K SahaThe Child Health Research Foundation, Department of Microbiology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Saifuddin AhmedDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Sajid SoofiDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.
Linda A BartlettDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Aga Khan University · PKJohns Hopkins University · USBangladesh Shishu (Children) Hospital & Institute · BDInternational Centre for Diarrhoeal Disease Research · BDUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPuerperal sepsis (PP sepsis) is a leading cause of maternal mortality globally. The majority of maternal sepsis cases and deaths occur at home and remain undiagnosed and under-reported. In this paper, we present findings from a nested case-control study in Bangladesh and Pakistan which sought to assess the validity of community health worker (CHW) identification of PP sepsis using a clinical diagnostic algorithm with physician assessment and classification used as the gold standard.

methodsUp to 300 postpartum women were enrolled in each of the 3 sites 1) Sylhet, Bangladesh (n = 278), 2) Karachi, Pakistan (n = 278) and 3) Matiari, Pakistan (n = 300). Index cases were women with suspected PP Sepsis as diagnosed by CHWs clinical assessment of one or more of the following signs and symptoms: temperature (recorded fever ≥38.1°C, reported history of fever, lower abdominal or pelvic pain, and abnormal or foul-smelling discharge. Each case was matched with 3 control women who were diagnosed by CHWs to have no infection. Cases and controls were assessed by trained physicians using the same algorithm implemented by the CHWs. Using physician assessment as the gold standard, Kappa statistics for reliability and diagnostic validity (sensitivity and specificity) are presented with 95% CI. Sensitivity and specificity were adjusted for verification bias.

resultsThe adjusted sensitivity and specificity of CHW identification of PP sepsis across all sites was 82% (Karachi: 78%, Matiari: 78%, Sylhet: 95%) and 90% (Karachi: 95%, Matiari: 85%, Sylhet: 90%) respectively. CHW-Physician agreement was highest for moderate and high fever (range across sites: K = 0.84-0.97) and lowest for lower abdominal pain (K = 0.30-0.34). The clinical signs and symptoms for other conditions were reported infrequently, however, the CHW-physician agreement was high for all symptoms except severe headache/ blurred vision (K = 0.13-0.38) and reported "lower abdominal pain without fever" (K = 0.39-0.57).

conclusionIn all sites, CHWs with limited training were able to identify signs and symptoms and to classify cases of PP sepsis with high validity. Integrating postpartum infection screening into existing community-based platforms and post-natal visits is a promising strategy to monitor women for PP sepsis - improving delivery of cohesive maternal and child health care in low resource settings.

Indexed as

Pregnancy Complications, InfectiousSepsisAlgorithmsBangladeshCase-Control StudiesChildCommunity Health WorkersFemaleHumansPakistanPostpartum PeriodPregnancyReproducibility of Results

Identifiers

PMID34912547
PMCPMC8645220
OpenAlexW4200569868

What OpenQuestion holds

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LicenceCC BY
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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.