OBJECTIVE:To identify and determine patient-and ulcer-related factors associated with healing outcomes within 3 months for patients with diabetic foot ulcer (DFU) in a multiethnic primary care sample. METHODS:Retrospective data were collected over 3 months from 520 primary care patients with a DFU between April 1, 2016 and March 31, 2017. Multivariable prevalence ratios (PRs) were calculated using Poisson regression to find associations between patient-and ulcer-related factors and healing outcomes. RESULTS:Most patients were male (66%) and Chinese (49.8%) and had a diabetes mellitus duration longer than 5 years (81.8%). Toe ulcers (64%) were most common. Healing occurred for 33.9% of participants; 19.1% and 1.5% underwent minor and major amputation, respectively. Wound sizes between 1 and 10 cm 2 (PR, 0.61; 95% confidence interval [CI], 0.46-0.76; P < .001) and over 10 cm 2 (PR, 0.

OBJECTIVE To describe an inaugural telewound monitoring service (TMS) designed for the remote monitoring of acute wounds to empower primary care patients, and identify factors associated with the utilization of the TMS. METHODS Retrospective data were collected from 204 patients who participated in the TMS between June 19, 2016 and August 31, 2017 and analyzed using both descriptive and multiple regression analysis. RESULTS The mean patient age was 27.9 years (SD, 12.4); wound area was 7.8 cm 2 (SD, 21.2); and duration of healing was 11.7 days (SD, 6.9). A multiple regression model based on patients’ demographics and wound factors predicted which patients were likely to have more telewound sessions than face-to-face sessions. The model was statistically significant (F = 2.093 (11, 124), P = .025) with 15.7% of variance explained by the variables. An increase in age ( P = .043) and increased days to healing ( P = .043) were associated with a reduction in the number of telewound sessions. CONCLUSIONS The TMS is a valuable alternative to face-to-face wound care that enables patients with acute wounds to assume the roles of both patient and carer simultaneously. Age and healing duration are predictors for utilization of this service. Prompt attention to these predictors may improve service allocation and utilization.