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

BACKGROUND: Puerperal 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 s...

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Autores principales: LeFevre, Amnesty E, Mir, Fatima, Mitra, Dipak K, Ariff, Shabina, Mohan, Diwakar, Ahmed, Imran, Sultana, Shazia, Winch, Peter J, Shakoor, Sadia, Connor, Nicholas E, Islam, Mohammad Shahidul, El-Arifeen, Shams, Quaiyum, MA, Baqui, Abdullah H, Gravett, Michael G, Santosham, Mathuram, Bhutta, Zulfiqar A, Zaidi, Anita, Saha, Samir K, Ahmed, Saifuddin, Soofi, Sajid, Bartlett, Linda A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645220/
https://www.ncbi.nlm.nih.gov/pubmed/34912547
http://dx.doi.org/10.7189/jogh.11.04039
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author LeFevre, Amnesty E
Mir, Fatima
Mitra, Dipak K
Ariff, Shabina
Mohan, Diwakar
Ahmed, Imran
Sultana, Shazia
Winch, Peter J
Shakoor, Sadia
Connor, Nicholas E
Islam, Mohammad Shahidul
El-Arifeen, Shams
Quaiyum, MA
Baqui, Abdullah H
Gravett, Michael G
Santosham, Mathuram
Bhutta, Zulfiqar A
Zaidi, Anita
Saha, Samir K
Ahmed, Saifuddin
Soofi, Sajid
Bartlett, Linda A
author_facet LeFevre, Amnesty E
Mir, Fatima
Mitra, Dipak K
Ariff, Shabina
Mohan, Diwakar
Ahmed, Imran
Sultana, Shazia
Winch, Peter J
Shakoor, Sadia
Connor, Nicholas E
Islam, Mohammad Shahidul
El-Arifeen, Shams
Quaiyum, MA
Baqui, Abdullah H
Gravett, Michael G
Santosham, Mathuram
Bhutta, Zulfiqar A
Zaidi, Anita
Saha, Samir K
Ahmed, Saifuddin
Soofi, Sajid
Bartlett, Linda A
author_sort LeFevre, Amnesty E
collection PubMed
description BACKGROUND: Puerperal 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. METHODS: Up 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. RESULTS: The 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). CONCLUSION: In 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.
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spelling pubmed-86452202021-12-14 Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan LeFevre, Amnesty E Mir, Fatima Mitra, Dipak K Ariff, Shabina Mohan, Diwakar Ahmed, Imran Sultana, Shazia Winch, Peter J Shakoor, Sadia Connor, Nicholas E Islam, Mohammad Shahidul El-Arifeen, Shams Quaiyum, MA Baqui, Abdullah H Gravett, Michael G Santosham, Mathuram Bhutta, Zulfiqar A Zaidi, Anita Saha, Samir K Ahmed, Saifuddin Soofi, Sajid Bartlett, Linda A J Glob Health Articles BACKGROUND: Puerperal 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. METHODS: Up 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. RESULTS: The 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). CONCLUSION: In 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. International Society of Global Health 2021-11-27 /pmc/articles/PMC8645220/ /pubmed/34912547 http://dx.doi.org/10.7189/jogh.11.04039 Text en Copyright © 2021 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
LeFevre, Amnesty E
Mir, Fatima
Mitra, Dipak K
Ariff, Shabina
Mohan, Diwakar
Ahmed, Imran
Sultana, Shazia
Winch, Peter J
Shakoor, Sadia
Connor, Nicholas E
Islam, Mohammad Shahidul
El-Arifeen, Shams
Quaiyum, MA
Baqui, Abdullah H
Gravett, Michael G
Santosham, Mathuram
Bhutta, Zulfiqar A
Zaidi, Anita
Saha, Samir K
Ahmed, Saifuddin
Soofi, Sajid
Bartlett, Linda A
Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan
title Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan
title_full Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan
title_fullStr Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan
title_full_unstemmed Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan
title_short Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan
title_sort validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in bangladesh and pakistan
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645220/
https://www.ncbi.nlm.nih.gov/pubmed/34912547
http://dx.doi.org/10.7189/jogh.11.04039
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