Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management
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Objectives: The purpose of the study was to develop and evaluate a clinical-guideline-based smartphone application (‘app’)for obesity management. Methods: Obesity-related knowledge and functional requirements were extracted from clinicalpractice guidelines, a literature review, and consultations with experts. The extracted knowledge was used to design obesitymanagementalgorithms, and the functions of the developed app are presented through a use case diagram and activitydiagrams. The database and user interface were designed and then an app was developed. The proficiency and efficiencyof the algorithm were evaluated using scenarios, while the user interface was assessed using a mobile heuristics evaluationtool, with its usability determined using the Post-Study System Usability Questionnaire. Results: In total, 131 obesity-relatedknowledge statements and 11 functions for the app were extracted, and 5 algorithms (comprising 1 main algorithm and 4subalgorithms) were developed. The database comprised 11 tables and 41 screens. The app was developed using the AndroidSDK platform 4.0.3, JDK 1.7.0, and Eclipse. The overall proficiency and efficiency scores of the algorithm were 88.0 and 69.1,respectively. In heuristics tests, 57 comments were made, and the mean usability score was 3.47 out of 5. Thirteen usabilityproblems were identified by the heuristics and usability evaluations. Conclusions: The app developed in this study might behelpful for weight management because it can provide high-quality health information and intervention without spatial ortemporal constraints. However, the clinical effectiveness of this app still requires further investigation.
Abstract
Objectives: The purpose of the study was to develop and evaluate a clinical-guideline-based smartphone application (‘app’)for obesity management. Methods: Obesity-related knowledge and functional requirements were extracted from clinicalpractice guidelines, a literature review, and consultations with experts. The extracted knowledge was used to design obesitymanagementalgorithms, and the functions of the developed app are presented through a use case diagram and activitydiagrams. The database and user interface were designed and then an app was developed. The proficiency and efficiencyof the algorithm were evaluated using scenarios, while the user interface was assessed using a mobile heuristics evaluationtool, with its usability determined using the Post-Study System Usability Questionnaire. Results: In total, 131 obesity-relatedknowledge statements and 11 functions for the app were extracted, and 5 algorithms (comprising 1 main algorithm and 4subalgorithms) were developed. The database comprised 11 tables and 41 screens. The app was developed using the AndroidSDK platform 4.0.3, JDK 1.7.0, and Eclipse. The overall proficiency and efficiency scores of the algorithm were 88.0 and 69.1,respectively. In heuristics tests, 57 comments were made, and the mean usability score was 3.47 out of 5. Thirteen usabilityproblems were identified by the heuristics and usability evaluations. Conclusions: The app developed in this study might behelpful for weight management because it can provide high-quality health information and intervention without spatial ortemporal constraints. However, the clinical effectiveness of this app still requires further investigation.
참고문헌 (25)
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