A feasibility study on the efficacy of a patient-owned wound surveillance system for diabetic foot ulcer care (ePOWS study)

Author:

Lo Zhiwen J12,Harish Keerthi B3ORCID,Tan Elaine4,Zhu Julia4,Chan Shaun5,Liew Huiling6,Hoi Wai H7,Liang Shanying1,Cho Yuan T1,Koo Hui Y8,Wu Kyle9,Car Josip210

Affiliation:

1. Department of Surgery, Vascular Surgery Service, Woodlands Health, Singapore, Singapore

2. Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

3. NYU Grossman School of Medicine, New York, USA

4. National Healthcare Group Polyclinics, Singapore, Singapore

5. Department of General Surgery, Vascular Surgery Service, Khoo Teck Puat Hospital, Singapore, Singapore

6. Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore

7. Department of Endocrinology, Woodlands Health, Singapore, Singapore

8. Group Integrated Care, National Healthcare Group, Singapore, Singapore

9. eKare Inc, Fairfax, VA, USA

10. Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK

Abstract

Objective Wound image analysis tools hold promise in helping patients to monitor their wounds. We aim to perform a novel feasibility study on the efficacy of a patient-owned wound surveillance system for diabetic foot ulcer (DFU) care. Methods This two-institutional, prospective, single-arm pilot study examined patients with DFU. An artificial intelligence-enabled image analysis app calculating the wound surface area was installed and patients or caregivers were instructed to take pictures of wounds during dressing changes. Patients were followed until wound deterioration, wound healing, or wound stability at 6 months occurred and the outcomes of interest included study adherence, algorithm performance, and user experience. Results Between January 2021 and December 2021, 39 patients were enrolled in the study, with a mean age of 61.6 ± 8.6 years, and 69% ( n = 27) of subjects were male. All patients had documented diabetes and 85% ( n = 33) of them had peripheral arterial disease. A mean follow-up for those completing the study was 12.0 ± 8.5 weeks. At the conclusion of the study, 80% of patients ( n = 20) had primary wound healing whilst 20% ( n = 5) had wound deterioration. The study completion rate was 64% ( n = 25). Usage of the app for surveillance of DFU healing, as compared to physician evaluation, yielded a sensitivity of 100%, specificity of 20%, positive predictive value of 83%, and negative predictive value of 100%. Of those who provided user experience feedback, 59% ( n = 10) felt the app was easy to use, 47% ( n = 8) would recommend the wound analysis app to others but only 6% would pay for the app out of pocket ( n = 1). Conclusion Implementation of a patient-owned wound surveillance system is feasible. Most patients were able to effectively monitor wounds using a smartphone app-based solution. The image analysis algorithm demonstrates strong performance in identifying wound healing and is capable of detecting deterioration prior to interval evaluation by a physician. Patients generally found the app easy to use but were reluctant to pay for the use of the solution out of pocket.

Funder

Agency for Science, Technology and Research

National Research Medical Council

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Appropriateness of Artificial Intelligence Chatbots in Diabetic Foot Ulcer Management;The International Journal of Lower Extremity Wounds;2024-02-28

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