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Examining agreement between clinicians when assessing sick children

Abstract:
Background: Case management guidelines use a limited set of clinical features to guide assessment and treatment for common childhood diseases in poor countries. Using video records of clinical signs we assessed agreement among experts and assessed whether Kenyan health workers could identify signs defined by expert consensus. Methodology: 104 videos representing 11 clinical sign categories were presented to experts using a web questionnaire. Proportionate agreement and agreement beyond chance were calculated using kappa and the AC1 statistic. 31 videos were selected and presented to local health workers, 20 for which experts had demonstrated clear agreement and 11 for which experts could not demonstrate agreement. Principal findings: Experts reached very high level of chance adjusted for some videos while for a few videos no agreement beyond chance was found. Where experts agreed Kenyan hospital staff of all cadres recognised signs with high mean sensitivity and specificity (sensitivity: 0.897 - 0.975, specificity: 0.813-0.894); years of experience, gender and hospital had no influence on mean sensitivity or specificity. Local health workers did not agree on videos where experts had low or no agreement. Results of different agreement statistics for multiple observers, the AC1 and Fleiss' kappa, differ across the range of proportionate agreement. Conclusion: Videos provide a useful means to test agreement amongst geographically diverse groups of health workers. Kenyan health workers are in agreement with experts where clinical signs are clear-cut supporting the potential value of assessment and management guidelines. However, clinical signs are not always clear-cut. Video recordings offer one means to help standardise interpretation of clinical signs.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pone.0004626

Authors

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Institution:
"Centre for Geographic Medicine, Kenyan Medical Research Institute (KEMRI) - Wellcome Trust Programme, Nairobi, Kenya"
Department:
Child and Newborn Health Group
Role:
Author
More by this author
Institution:
"Centre for Geographic Medicine, Kenyan Medical Research Institute (KEMRI) - Wellcome Trust Programme, Nairobi, Kenya"
Department:
Child and Newborn Health Group
Role:
Author
More by this author
Institution:
"Kenya Medical Research Institute (KEMRI), Centre for Geographic Medicine Research-Coast, Kilifi, Kenya", "London School of Hygiene and Tropical Medicine, London, UK"
Department:
Infectious Disease Epidemiology Unit,Department of Epidemiology and Population Health
Role:
Author
More by this author
Institution:
"Centre for Geographic Medicine, Kenyan Medical Research Institute (KEMRI) - Wellcome Trust Programme, Nairobi, Kenya", "University of Oxford"
Department:
Medical Sciences Division - Paediatrics,Department of
Role:
Author

Contributors

Institution:
"John Hopkins Bloomberg School of Public Health, USA"
Role:
Editor


Publisher:
Public Library of Science
Journal:
PLoS ONE More from this journal
Volume:
4
Issue:
2
Article number:
e4626
Publication date:
2009-02-01
Edition:
Publisher's version
DOI:
EISSN:
1932-6203


Language:
English
Keywords:
Subjects:
UUID:
uuid:2766e218-de86-4d98-a238-0501fe5e091f
Local pid:
ora:2764
Deposit date:
2009-04-30
ARK identifier:

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