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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: The World Health Organization 2009-01-01
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
_version_ 1827331493070897152
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.
first_indexed 2024-03-07T16:39:05Z
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
record_format Article
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
work_keys_str_mv AT garyldarmstadt validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT abdullahhbaqui validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT yoonjoungchoi validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT sanwarulbari validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT syedmrahman validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT ishtiaqmannan validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT asmnawshaduddinahmed validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT samirksaha validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT radwanurrahman validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT stephaniechang validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT peterjwinch validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT roberteblack validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT mathuramsantosham validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh
AT shamselarifeen validationofcommunityhealthworkersassessmentofneonatalillnessinruralbangladesh