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Title
A mobile phone based tool to identify symptoms of common childhood diseases in Ghana: development and evaluation of the integrated clinical algorithm in a cross-sectional study |
Full text
https://pub.uni-bielefeld.de/record/2919302 |
Date
2018 |
Author(s)
Franke, Konstantin H.; Krumkamp, Ralf; Mohammed, Aliyu; Sarpong, Nimako; Owusu-Dabo, Ellis; Brinkel, Johanna; Fobil, Julius N.; Marinovic, Axel Bonacic; Asihene, Philip; Boots, Mark; May, Jürgen; Kreuels, Benno |
Abstract
Background: The aim of this study was the development and evaluation of an algorithm-based diagnosis-tool, applicable on mobile phones, to support guardians in providing appropriate care to sick children. Methods: The algorithm was developed on the basis of the Integrated Management of Childhood Illness (IMCI) guidelines and evaluated at a hospital in Ghana. Two hundred and thirty-seven guardians applied the tool to assess their child's symptoms. Data recorded by the tool and health records completed by a physician were compared in terms of symptom detection, disease assessment and treatment recommendation. To compare both assessments, Kappa statistics and predictive values were calculated. Results: The tool detected the symptoms of cough, fever, diarrhoea and vomiting with good agreement to the physicians' findings (kappa = 0.64; 0.59; 0.57 and 0.42 respectively). The disease assessment barely coincided with the physicians' findings. The tool's treatment recommendation correlated with the physicians' assessments in 93 out of 237 cases (39.2% agreement, kappa = 0.11), but underestimated a child's condition in only seven cases (3.0%). Conclusions: The algorithm-based tool achieved reliable symptom detection and treatment recommendations were administered conformably to the physicians' assessment. Testing in domestic environment is envisaged. |
Subject(s)
mHealth; Algorithm; Symptom assessment; Decision making; computer; assisted; Interactive voice response; Africa; Children |
Language
eng |
Publisher
Biomed Central Ltd |
Relation
info:eu-repo/semantics/altIdentifier/doi/10.1186/s12911-018-0600-3; info:eu-repo/semantics/altIdentifier/issn/1472-6947; info:eu-repo/semantics/altIdentifier/wos/000428637800001; info:eu-repo/semantics/altIdentifier/pmid/29580278 |
Type of publication
info:eu-repo/semantics/article; doc-type:article; text |
Source
Franke KH, Krumkamp R, Mohammed A, et al. A mobile phone based tool to identify symptoms of common childhood diseases in Ghana: development and evaluation of the integrated clinical algorithm in a cross-sectional study. <em>BMC MEDICAL INFORMATICS AND DECISION MAKING</em>. 2018;18: 23. |
Rights
info:eu-repo/semantics/closedAccess |
Repository
Bielefeld - University of Bielefeld
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