Validation of community health workers' assessment of neonatal illness in rural Bangladesh
OBJECTIVE: To estimate the validity (sensitivity, specificity, and positive and negative predictive values) of a clinical algorithm as used by community health workers (CHWs) to detect and classify neonatal illness during routine household visits in rural Bangladesh. METHODS: CHWs evaluated breastfe...
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Format: | Article |
Language: | English |
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The World Health Organization
2009-01-01
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Series: | Bulletin of the World Health Organization |
Online Access: | http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862009000100009&lng=en&tlng=en |
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author | Gary L Darmstadt Abdullah H Baqui Yoonjoung Choi Sanwarul Bari Syed M Rahman Ishtiaq Mannan ASM Nawshad Uddin Ahmed Samir K Saha Radwanur Rahman Stephanie Chang Peter J Winch Robert E Black Mathuram Santosham Shams El Arifeen |
author_facet | Gary L Darmstadt Abdullah H Baqui Yoonjoung Choi Sanwarul Bari Syed M Rahman Ishtiaq Mannan ASM Nawshad Uddin Ahmed Samir K Saha Radwanur Rahman Stephanie Chang Peter J Winch Robert E Black Mathuram Santosham Shams El Arifeen |
author_sort | Gary L Darmstadt |
collection | DOAJ |
description | OBJECTIVE: To estimate the validity (sensitivity, specificity, and positive and negative predictive values) of a clinical algorithm as used by community health workers (CHWs) to detect and classify neonatal illness during routine household visits in rural Bangladesh. METHODS: CHWs evaluated breastfeeding and symptoms and signs of illness in 395 neonates selected randomly from neonatal illness surveillance during household visits on postnatal days 0, 2, 5 and 8. Neonates classified with very severe disease (VSD) were referred to a community-based hospital. Within 12 hours of CHW assessments, physicians independently evaluated all neonates seen in a given day by one CHW, randomly chosen from among 36 project CHWs. Physicians recorded symptoms and signs of illness, classified the illness, and determined whether the newborn needed referral-level care at the hospital. Physicians' identification and classification were used as the gold standard in determining the validity of CHWs' identification of symptoms and signs of illness and its classification. FINDINGS: CHWs' classification of VSD showed a sensitivity of 73%, a specificity of 98%, a positive predictive value of 57% and a negative predictive value of 99%. A maternal report of any feeding problem as ascertained by physician questioning was significantly associated (P < 0.001) with "not sucking at all" and "not attached at all" or "not well attached" as determined clinically by CHWs during feeding assessment. CONCLUSION: CHWs identified with high validity the neonates with severe illness needing referral-level care. Home-based illness recognition and management, including referral of neonates with severe illness by CHWs, is a promising strategy for improving neonatal health and survival in low-resource developing country settings. |
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format | Article |
id | doaj.art-1b3e56a7be34464db97a6c092dd5ab35 |
institution | Directory Open Access Journal |
issn | 0042-9686 |
language | English |
last_indexed | 2024-03-07T16:39:05Z |
publishDate | 2009-01-01 |
publisher | The World Health Organization |
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series | Bulletin of the World Health Organization |
spelling | doaj.art-1b3e56a7be34464db97a6c092dd5ab352024-03-03T08:48:40ZengThe World Health OrganizationBulletin of the World Health Organization0042-96862009-01-018711219S0042-96862009000100009Validation of community health workers' assessment of neonatal illness in rural BangladeshGary L Darmstadt0Abdullah H Baqui1Yoonjoung Choi2Sanwarul Bari3Syed M Rahman4Ishtiaq Mannan5ASM Nawshad Uddin Ahmed6Samir K Saha7Radwanur Rahman8Stephanie Chang9Peter J Winch10Robert E Black11Mathuram Santosham12Shams El Arifeen13Johns Hopkins UniversityJohns Hopkins UniversityJohns Hopkins UniversityInternational Centre for Diarrhoeal Disease ResearchInternational Centre for Diarrhoeal Disease ResearchJohns Hopkins UniversityKumudini Women's Medical CollegeDhaka Shishu HospitalInternational Centre for Diarrhoeal Disease ResearchJohns Hopkins UniversityJohns Hopkins UniversityJohns Hopkins UniversityJohns Hopkins UniversityInternational Centre for Diarrhoeal Disease ResearchOBJECTIVE: To estimate the validity (sensitivity, specificity, and positive and negative predictive values) of a clinical algorithm as used by community health workers (CHWs) to detect and classify neonatal illness during routine household visits in rural Bangladesh. METHODS: CHWs evaluated breastfeeding and symptoms and signs of illness in 395 neonates selected randomly from neonatal illness surveillance during household visits on postnatal days 0, 2, 5 and 8. Neonates classified with very severe disease (VSD) were referred to a community-based hospital. Within 12 hours of CHW assessments, physicians independently evaluated all neonates seen in a given day by one CHW, randomly chosen from among 36 project CHWs. Physicians recorded symptoms and signs of illness, classified the illness, and determined whether the newborn needed referral-level care at the hospital. Physicians' identification and classification were used as the gold standard in determining the validity of CHWs' identification of symptoms and signs of illness and its classification. FINDINGS: CHWs' classification of VSD showed a sensitivity of 73%, a specificity of 98%, a positive predictive value of 57% and a negative predictive value of 99%. A maternal report of any feeding problem as ascertained by physician questioning was significantly associated (P < 0.001) with "not sucking at all" and "not attached at all" or "not well attached" as determined clinically by CHWs during feeding assessment. CONCLUSION: CHWs identified with high validity the neonates with severe illness needing referral-level care. Home-based illness recognition and management, including referral of neonates with severe illness by CHWs, is a promising strategy for improving neonatal health and survival in low-resource developing country settings.http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862009000100009&lng=en&tlng=en |
spellingShingle | Gary L Darmstadt Abdullah H Baqui Yoonjoung Choi Sanwarul Bari Syed M Rahman Ishtiaq Mannan ASM Nawshad Uddin Ahmed Samir K Saha Radwanur Rahman Stephanie Chang Peter J Winch Robert E Black Mathuram Santosham Shams El Arifeen Validation of community health workers' assessment of neonatal illness in rural Bangladesh Bulletin of the World Health Organization |
title | Validation of community health workers' assessment of neonatal illness in rural Bangladesh |
title_full | Validation of community health workers' assessment of neonatal illness in rural Bangladesh |
title_fullStr | Validation of community health workers' assessment of neonatal illness in rural Bangladesh |
title_full_unstemmed | Validation of community health workers' assessment of neonatal illness in rural Bangladesh |
title_short | Validation of community health workers' assessment of neonatal illness in rural Bangladesh |
title_sort | validation of community health workers assessment of neonatal illness in rural bangladesh |
url | http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862009000100009&lng=en&tlng=en |
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