ArticleBMC medical informatics and decision making2018
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.
Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- eHealth Tools That Assess and Track Health and Well-being in Children and Young People: Systematic Review.Journal of medical Internet research · 2022Pooled it
- A systematic review on mobile health applications for foodborne disease outbreak management.BMC public health · 2021Pooled it
- Information and Communication Technology to Enhance the Implementation of the Integrated Management of Childhood Illness: A Systematic Review and Meta-Analysis.Mayo Clinic proceedings. Digital health · 2024Review
- Guardians' involvement in the management of childhood illnesses in Vhembe district, Limpopo.Health SA = SA Gesondheid · 2024Article
- Informed Consent in Paediatric Telemedicine: Challenge or Opportunity? A Scoping Review.Healthcare (Basel, Switzerland) · 2023Article
- Cancer as a death sentence: developing an initial program theory for an IVR intervention.Health promotion international · 2022Article
- Telemedicine in Pediatric Infectious Diseases.Children (Basel, Switzerland) · 2021Review
- Implementation of an Interactive Voice Response System for Cancer Awareness in Uganda: Mixed Methods Study.JMIR mHealth and uHealth · 2021Article
- Physical Disorders are Associated with Health Risk Behaviors in Chinese Adolescents: A Latent Class Analysis.International journal of environmental research and public health · 2020Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
methodsThe 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.
resultsThe 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%).
conclusionsThe algorithm-based tool achieved reliable symptom detection and treatment recommendations were administered conformably to the physicians' assessment. Testing in domestic environment is envisaged.
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