Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan
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 ass...
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| Vydané v: | Journal of global health Ročník 11; s. 04039 |
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| Jazyk: | English |
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Scotland
Edinburgh University Global Health Society
01.01.2021
International Society of Global Health |
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| ISSN: | 2047-2978, 2047-2986, 2047-2986 |
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| Abstract | 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.
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.
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).
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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| AbstractList | 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. 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. 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. 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). 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. 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.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.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.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.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).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).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.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. |
| ArticleNumber | 04039 |
| Author | Ahmed, Imran Begum, Nasma Reller, Megan E Zaidi, Anita LeFevre, Amnesty E. Soofi, Sajid Baqui, Abdullah H Islam, MS Roy, Arun Dhutta Mir, Fatima Connor, Nicholas E Saha, Samir K El-Arifeen, Shams Khan, Imran Wasan, Yaqub Qureshi, Shahida Bhutta, Zulfiqar Winch, Peter J Connor, Nicolas E Mitra, Dipak K. Gravett, Michael G Shakoor, Sadia Ariff, Shabina Quaiyum, MA Sultana, Shazia Bhutta, Zulfiqar A Moin, Syed Mamun Hirani, Farzeen Santosham, Mathuram Ahmed, Saifuddin D Rafiqullah, Iftekhar LeFevre, Amnesty E Mahmud, Arif Mitra, Dipak K Bartlett, Linda A Mohan, Diwakar Islam, Mohammad Shahidul Ahmed, Saifuddin Hotwani, Aneeta |
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Saifuddin organization: Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA – sequence: 21 givenname: Sajid surname: Soofi fullname: Soofi, Sajid organization: Department of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan – sequence: 22 givenname: Linda A surname: Bartlett fullname: Bartlett, Linda A organization: Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA – sequence: 23 givenname: Imran surname: Ahmed fullname: Ahmed, Imran – sequence: 24 givenname: Saifuddin D surname: Ahmed fullname: Ahmed, Saifuddin D – sequence: 25 givenname: Shams surname: el-Arifeen fullname: el-Arifeen, Shams – sequence: 26 givenname: Shabina surname: Ariff fullname: Ariff, Shabina – sequence: 27 givenname: Abdullah H surname: Baqui fullname: Baqui, Abdullah H – sequence: 28 givenname: Linda A surname: Bartlett fullname: Bartlett, Linda A – sequence: 29 givenname: Nasma surname: Begum fullname: Begum, Nasma – sequence: 30 givenname: Zulfiqar surname: Bhutta fullname: Bhutta, Zulfiqar – sequence: 31 givenname: Nicolas E surname: Connor fullname: Connor, Nicolas E – sequence: 32 givenname: Farzeen surname: Hirani fullname: Hirani, Farzeen – sequence: 33 givenname: Aneeta surname: Hotwani fullname: Hotwani, Aneeta – sequence: 34 givenname: MS surname: Islam fullname: Islam, MS – sequence: 35 givenname: Imran surname: Khan fullname: Khan, Imran – sequence: 36 givenname: Amnesty E. surname: LeFevre fullname: LeFevre, Amnesty E. – sequence: 37 givenname: Arif surname: Mahmud fullname: Mahmud, Arif – sequence: 38 givenname: Fatima surname: Mir fullname: Mir, Fatima – sequence: 39 givenname: Dipak K. surname: Mitra fullname: Mitra, Dipak K. – sequence: 40 givenname: Syed Mamun surname: Moin fullname: Moin, Syed Mamun – sequence: 41 givenname: MA surname: Quaiyum fullname: Quaiyum, MA – sequence: 42 givenname: Shahida surname: Qureshi fullname: Qureshi, Shahida – sequence: 43 givenname: Iftekhar surname: Rafiqullah fullname: Rafiqullah, Iftekhar – sequence: 44 givenname: Megan E surname: Reller fullname: Reller, Megan E – sequence: 45 givenname: Arun Dhutta surname: Roy fullname: Roy, Arun Dhutta – sequence: 46 givenname: Samir K surname: Saha fullname: Saha, Samir K – sequence: 47 givenname: Sadia surname: Shakoor fullname: Shakoor, Sadia – sequence: 48 givenname: Sajid surname: Soofi fullname: Soofi, Sajid – sequence: 49 givenname: Shazia surname: Sultana fullname: Sultana, Shazia – sequence: 50 givenname: Yaqub surname: Wasan fullname: Wasan, Yaqub – sequence: 51 givenname: Peter J surname: Winch fullname: Winch, Peter J – sequence: 52 givenname: Anita surname: Zaidi fullname: Zaidi, Anita |
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| CitedBy_id | crossref_primary_10_1038_s41598_025_94259_9 crossref_primary_10_1016_j_semperi_2024_151979 |
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| Snippet | 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... BackgroundPuerperal sepsis (PP sepsis) is a leading cause of maternal mortality globally. The majority of maternal sepsis cases and deaths occur at home and... |
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| SubjectTerms | Abdomen Algorithms Bangladesh Biopsy Case-Control Studies Child Community Health Workers Female Fever Global health Health facilities Hospitals Humans Identification Illnesses Infections Literature reviews Maternal mortality Medical diagnosis Medical personnel Medical referrals Morbidity Pain Pakistan Physicians Postpartum Period Pregnancy Pregnancy Complications, Infectious Reproducibility of Results Sepsis Sepsis - diagnosis Systematic review Uterus Vagina Womens health |
| Title | Validation of community health worker identification of maternal puerperal sepsis using a clinical diagnostic algorithm in Bangladesh and Pakistan |
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