Evidence map›Paper›PMID 37808235›Full record

ArticleDigital health

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

Zhiwen J Lo, Keerthi B Harish, Elaine Tan, Julia Zhu, Shaun Chan, Huiling Liew, Wai H Hoi, Shanying Liang, Yuan T Cho, Hui Y Koo and 2 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Zhiwen J LoDepartment of Surgery, Vascular Surgery Service, Woodlands Health, Singapore, Singapore.
Keerthi B HarishNYU Grossman School of Medicine, New York, USA.ORCID https://orcid.org/0000-0001-9244-7253
Elaine TanNational Healthcare Group Polyclinics, Singapore, Singapore.
Julia ZhuNational Healthcare Group Polyclinics, Singapore, Singapore.
Shaun ChanDepartment of General Surgery, Vascular Surgery Service, Khoo Teck Puat Hospital, Singapore, Singapore.
Huiling LiewDepartment of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore.
Wai H HoiDepartment of Endocrinology, Woodlands Health, Singapore, Singapore.
Shanying LiangDepartment of Surgery, Vascular Surgery Service, Woodlands Health, Singapore, Singapore.
Yuan T ChoDepartment of Surgery, Vascular Surgery Service, Woodlands Health, Singapore, Singapore.
Hui Y KooGroup Integrated Care, National Healthcare Group, Singapore, Singapore.
Kyle WueKare Inc, Fairfax, VA, USA.
Josip CarCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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% ( 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.

Indexed as

diabetesdiabetic foot ulcereHealthmHealthsmartphonetechnology

Identifiers

PMID37808235
PMCPMC10559723

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.