Patient Engagement With and Perspectives on a Mobile Health Home Spirometry Intervention: Mixed Methods Study.

BACKGROUND: Patient engagement attrition in mobile health (mHealth) remote patient monitoring (RPM) programs decreases program benefits. Systemic disparities lead to inequities in RPM adoption and use. There is an urgent need to understand patients' experiences with RPM in the real world, especially for patients who have stopped using the programs, as addressing issues faced by patients can increase the value of mHealth for patients and subsequently decrease attrition. OBJECTIVE: This study sought to understand patient engagement and experiences in an RPM mHealth intervention in lung transplant recipients. METHODS: Between May 4, 2020, and November 1, 2022, a total of 601 lung transplant recipients were enrolled in an mHealth RPM intervention to monitor lung function. The predictors of patient engagement were evaluated using multivariable logistic and linear regression. Semistructured interviews were conducted with 6 of 39 patients who had engaged in the first month but stopped using the program, and common themes were identified. RESULTS: Patients who underwent transplant more than 1 year before enrollment in the program had 84% lower odds of engaging (odds ratio [OR] 0.16, 95% CI 0.07-0.35), 82% lower odds of submitting pulmonary function measurements (OR 0.18, 95% CI 0.09-0.33), and 78% lower odds of completing symptom checklists (OR 0.22, 95% CI 0.10-0.43). Patients whose primary language was not English had 78% lower odds of engaging compared to English speakers (OR 0.22, 95% CI 0.07-0.67). Interviews revealed 4 prominent themes: challenges with devices, communication breakdowns, a desire for more personal interactions and specific feedback with the care team about their results, understanding the purpose of the chat, and understanding how their data are used. CONCLUSIONS: Care delivery and patient experiences with RPM in lung transplant mHealth can be improved and made more equitable by tailoring outreach and enhancements toward non-English speakers and patients with a longer time between transplant and enrollment. Attention to designing programs to provide personalization through supplementary provider contact, education, and information transparency may decrease attrition rates.

A Digital Health Intervention to Improve the Clinical Care of Inflammatory Bowel Disease Patients.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic condition that requires close monitoring. Digital health virtual care platforms can enable self-monitoring and allow providers to remotely surveil patients and efficiently identify those with active disease. OBJECTIVES: The primary aim was to design and implement an IBD remote monitoring program, identify predictors of patient engagement, and determine who found the chat to be a valuable tool. METHODS: We developed the IBD Virtual Care Chat, an electronic health record (EHR)-integrated chat to monitor electronic patient reported outcomes (ePROs), medication changes, and disease activity, and subsequently report concerning findings to providers via the EHR. All patients in the IBD practice over age 18 with a clinical encounter in the preceding 12 months were eligible to be enrolled. The primary aim was to identify predictors of patient engagement and determine who found the chat to be a valuable tool. RESULTS: Between May 2021 and March 2022, 2,934 patients were enrolled. A total of 1,160 engaged at least once and 687 (23.4%) continually engaged, submitting at least three ePROs. Disease severity (based on Harvey-Bradshaw Index or Simple Clinical Colitis Activity Index) did not impact ePRO submissions. Patients were significantly more likely to be continually engaged if they self-reported the presence of extraintestinal manifestations (7%, 95% confidence interval: 0.01-0.14; p = 0.04). Patient satisfaction remained moderately high with a median score of 8 (interquartile range: 5-10) on a scale of 1 (poor) to 10 (good). CONCLUSION: Our program demonstrates the potential for EHR-integrated digital health as part of routine IBD care to achieve sustained engagement with high patient satisfaction.

Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic.

The screening of healthcare workers for COVID-19 (coronavirus disease 2019) symptoms and exposures prior to every clinical shift is important for preventing nosocomial spread of infection but creates a major logistical challenge. To make the screening process simple and efficient, University of California, San Francisco Health designed and implemented a digital chatbot-based workflow. Within 1 week of forming a team, we conducted a product development sprint and deployed the digital screening process. In the first 2 months of use, over 270 000 digital screens have been conducted. This process has reduced wait times for employees entering our hospitals during shift changes, allowed for physical distancing at hospital entrances, prevented higher-risk individuals from coming to work, and provided our healthcare leaders with robust, real-time data for make staffing decisions.