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Updated: Aug 24, 2026
Fabrication and Characterization of a Conformal Skin-like Electronic System for Quantitative, Cutaneous Wound Management
Published on: September 2, 2015
Development of a mobile application for wound severity detection and modern dressing selection
Gunawan Muhaemin1, Henri Setiawan2, Vivi L Amelia1
1Department of Nursing, Universitas Muhammadiyah Purwokerto, Indonesia.
Introduction:
Inconsistent wound assessment and inappropriate dressing selection remain major barriers in chronic diabetic wound management. Digital decision-support systems offer a practical approach for standardizing clinical processes and supporting evidence-based care.
Objective:
The aims of this study were to develop and evaluate a mobile application that integrates wound severity detection with modern dressing selection to support standardized chronic diabetic wound management.
Methods:
A research and development design was used with the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. The application integrated the Perdana Kusuma II wound severity scoring system with a moisture-based dressing recommendation algorithm. Content validity was evaluated by 10 multidisciplinary experts using a four-point Likert scale. Usability was assessed by 12 wound care nurses with the System Usability Scale (SUS). A descriptive pre-test and post-test evaluation examined the performance in wound color identification, inflammation assessment, exudate evaluation, and dressing selection among new graduate and independent wound care nurses.
Results:
All expert validation items achieved the maximum score (4.00), with item-content validity and scale-content validity indexes of 1.00. The application exhibited good usability based on the SUS interpretation. Among the new graduate nurses, the mean pre-test scores increased from 0.92 to 1.42 to 1.92-2.00 across all domains. Independent wound care nurses had consistently high baseline scores (1.58-2.00) and near-maximum post-test values. Automated wound severity outputs were comparable to the manual assessments, and dressing recommendations were aligned with modern wound care standards.
Conclusion:
The mobile application developed in this study is a feasible digital clinical decision-support tool with the potential to support standardized wound assessment and evidence-informed dressing selection, particularly for early-career nurses, while maintaining expert-level clinical accuracy.
