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

Franke KH, Krumkamp R, Mohammed A, Sarpong N, Owusu-Dabo E, Brinkel J, Fobil JN, Marinovic AB, Asihene P, Boots M, May J, et al. (2018)
BMC MEDICAL INFORMATICS AND DECISION MAKING 18(1): 23.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
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
Alle
Abstract / Bemerkung
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.
Stichworte
mHealth; Algorithm; Symptom assessment; Decision making; computer; assisted; Interactive voice response; Africa; Children
Erscheinungsjahr
2018
Zeitschriftentitel
BMC MEDICAL INFORMATICS AND DECISION MAKING
Band
18
Ausgabe
1
Art.-Nr.
23
ISSN
1472-6947
Page URI
https://pub.uni-bielefeld.de/record/2919302

Zitieren

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. BMC MEDICAL INFORMATICS AND DECISION MAKING. 2018;18(1): 23.
Franke, K. H., Krumkamp, R., Mohammed, A., Sarpong, N., Owusu-Dabo, E., Brinkel, J., Fobil, J. N., et al. (2018). 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. BMC MEDICAL INFORMATICS AND DECISION MAKING, 18(1), 23. doi:10.1186/s12911-018-0600-3
Franke, K. H., Krumkamp, R., Mohammed, A., Sarpong, N., Owusu-Dabo, E., Brinkel, J., Fobil, J. N., Marinovic, A. B., Asihene, P., Boots, M., et al. (2018). 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. BMC MEDICAL INFORMATICS AND DECISION MAKING 18:23.
Franke, K.H., et al., 2018. 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. BMC MEDICAL INFORMATICS AND DECISION MAKING, 18(1): 23.
K.H. Franke, 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”, BMC MEDICAL INFORMATICS AND DECISION MAKING, vol. 18, 2018, : 23.
Franke, K.H., Krumkamp, R., Mohammed, A., Sarpong, N., Owusu-Dabo, E., Brinkel, J., Fobil, J.N., Marinovic, A.B., Asihene, P., Boots, M., May, J., Kreuels, B.: 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. BMC MEDICAL INFORMATICS AND DECISION MAKING. 18, : 23 (2018).
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, and Kreuels, Benno. “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”. BMC MEDICAL INFORMATICS AND DECISION MAKING 18.1 (2018): 23.

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