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BackgroundPatients with head and neck cancer (HNC) frequently experience disease-related symptoms and treatment adverse effects that impact their overall quality of life. Cancer-specific mobile health apps for patient-related outcomes allow patients to communicate with their clinicians and proactively track their symptoms, which have been shown to improve clinical management and disease outcomes. ObjectiveThe purpose of this study was to evaluate the feasibility of LogPAL, a novel iPhone-based mobile health app designed to help HNC survivors track and manage their posttreatment symptoms. MethodsPatients who completed curative treatment for HNC in the preceding 24 months were recruited from 2 clinical sites within a single institution. Upon enrollment, participants completed a brief sociodemographic survey, downloaded the app onto their iPhone devices, and were asked to complete a series of biweekly questionnaires (based on the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events) via the app for an 8-week study period. The primary feasibility endpoints included retention (retaining >80% of the enrolled participants for the duration of the study period), adherence (>50% of the participants completing 100% of the questionnaires over the study period), and usability (a mean system usability scale [SUS] score >68). Additional postintervention questions were collected to assess perceived usefulness, acceptance, and overall satisfaction. ResultsBetween January and October 2019, 38 participants were enrolled in the study. Three participants dropped out, and 3 were classified as nonusers. The remaining 32 (87%) were eligible for analysis. Their mean age was 57.8 (SD 12.3) years (range 24-77 years, 81% [26/32] male). Overall, 375 of 512 (73.2%) questionnaires were completed, with 17 (53%) of the 32 participants adherent. Participant-reported usability was acceptable; the mean SUS score was 71.9 (95% CI 64.3-79.5) with high satisfaction of LogPAL usefulness and likelihood to recommend to other cancer survivors. ConclusionsThis single-arm prospective pilot study showed that LogPAL is a feasible, regularly used, accepted app for HNC survivors, justifying a full-scale pilot. Based on the findings from this study, future iterations will aim to improve usability and test intervention efficacy.

This article was migrated. The article was marked as recommended. Introduction: Resident as Teacher (RaT) curriculum continues to be recognized as a critical component of residents' education. However, in busy clinical workplaces, there are time constraints limiting formal training for RaT. This study aimed to assess the engagement and acceptability of Just-in-Time-Teaching (JiTT) infographics, a novel RaT tool that provides digestible evidence-based knowledge & skills at the time & place where teaching happens. Methods: The study focused on residents and faculty between July - September 2019, across 12 residency programs in six specialties. JiTT infographics were distributed weekly for six weeks. Engagement of residents was measured by open rates of infographics. Acceptability was evaluated using mixed-methods analysis of a questionnaire at the conclusion of the study, and a focus group with appointed resident and faculty champions. Descriptive statistical analyses were applied to ascertain preliminary results. Results: Overall, 76.2% (198/260) of residents opened infographics, with an average engagement rate of 64.9% Analysis of acceptability evaluations revealed infographics to be effective and had a positive impact on teaching style. Discussion and Conclusion: JiTT infographics function as an educational approach to support teaching strategies in the busy clinical setting. It can be adapted across diverse programs and integrated into a teaching toolbox for residents and faculty., (Copyright: © 2021 Orner D et al.)