Resilience-Related Resources Predict Physicians' Fatigue, Job Search Behavior, and Productivity Outcomes.

OBJECTIVE: The objective of this research was to assess the relative contribution of three resilience-related dispositional resources (trait mindfulness, core self-evaluations, and optimism) to emergency medicine physicians' fatigue, retention, and productivity. METHODS: We surveyed emergency physicians employed by a national (US) medical staffing organization. The survey included measures of work stressors, resilience resources, job search behavior, and fatigue. We linked the survey responses to objective demographic and productivity measures from the organization's records. RESULTS: A total of 371 respondents completed the survey. Multiple regression analyses demonstrated support for each of the three resilience-related resources as predictors. Relative weights analyses showed that resilience accounted for 14% and 62% of the outcome variance, whereas work demands accounted for between 32% and 56%. CONCLUSIONS: Multiple facets of dispositional resilience are important predictors of emergency medicine physicians' occupational health, retention, and productivity.

A qualitative study on participants' experiences with a community-based mindful walking intervention and mobile device activity measurement.

BACKGROUND: Mindful walking (MW) interventions employ mindfulness training combined with physical activity. Wearable mobile devices have been increasingly used to measure outcomes of physical activity interventions. The purpose of this study was to understand MW participants' attitudes towards MW and the use of mobile devices in health promotion interventions, including barriers and facilitators of intervention engagement and adherence. Few qualitative studies have documented participant experience with these two types of interventions. METHOD: The pilot study involved a randomized MW intervention including 38 participants with self-reported inadequate physical activity. Half of them were randomized to receive MW intervention plus a FitBit device and the other received the FitBit device only. We used a qualitative thematic analysis of the narrative data collected through open-ended survey questions at three time points. Participants in the MW intervention were asked to describe their experiences with MW, while all participants were asked to describe their experience with wearing the FitBit to track their step counts. RESULTS: Participants reported a broad range of perceived benefits and challenges related to adopting the MW intervention and using the mobile device. Participants were generally willing to try to adopt the recommended MW practice and to see value of MW in increasing physical activity and improving overall health. Participants reported using a variety of additional device features beyond goal setting and step counts, indicating using the devices may have been effective in providing additional motivation for participants in meeting physical activity goals in both the control and intervention groups. While most of the feedback about MW (in the intervention group) and the device (all participants) was overwhelmingly positive, a minority of participants reported barriers such as lack of patience with meditation and discomfort with wearing the device. CONCLUSION: Most participants in the MW intervention see the health benefits of this program and most participants using the wearable physical activity tracking device reported the motivational benefits of this device. Issues with the MW intervention (e.g., lack of patience) and the wearable device (e.g., discomfort with wearing) need to be addressed in future interventions.

Enhancing mHealth Technology in the Patient-Centered Medical Home Environment to Activate Patients With Type 2 Diabetes: A Multisite Feasibility Study Protocol.

BACKGROUND: The potential of mHealth technologies in the care of patients with diabetes and other chronic conditions has captured the attention of clinicians and researchers. Efforts to date have incorporated a variety of tools and techniques, including Web-based portals, short message service (SMS) text messaging, remote collection of biometric data, electronic coaching, electronic-based health education, secure email communication between visits, and electronic collection of lifestyle and quality-of-life surveys. Each of these tools, used alone or in combination, have demonstrated varying degrees of effectiveness. Some of the more promising results have been demonstrated using regular collection of biometric devices, SMS text messaging, secure email communication with clinical teams, and regular reporting of quality-of-life variables. In this study, we seek to incorporate several of the most promising mHealth capabilities in a patient-centered medical home (PCMH) workflow. OBJECTIVE: We aim to address underlying technology needs and gaps related to the use of mHealth technology and the activation of patients living with type 2 diabetes. Stated differently, we enable supporting technologies while seeking to influence patient activation and self-care activities. METHODS: This is a multisite phased study, conducted within the US Military Health System, that includes a user-centered design phase and a PCMH-based feasibility trial. In phase 1, we will assess both patient and provider preferences regarding the enhancement of the enabling technology capabilities for type 2 diabetes chronic care management. Phase 2 research will be a single-blinded 12-month feasibility study that incorporates randomization principles. Phase 2 research will seek to improve patient activation and self-care activities through the use of the Mobile Health Care Environment with tailored behavioral messaging. The primary outcome measure is the Patient Activation Measure scores. Secondary outcome measures are Summary of Diabetes Self-care Activities Measure scores, clinical measures, comorbid conditions, health services resource consumption, and technology system usage statistics. RESULTS: We have completed phase 1 data collection. Formal analysis of phase 1 data has not been completed. We have obtained institutional review board approval and began phase 1 research in late fall 2016. CONCLUSIONS: The study hypotheses suggest that patients can, and will, improve their activation in chronic care management. Improved activation should translate into improved diabetes self-care. Expected benefits of this research to the scientific community and health care services include improved understanding of how to leverage mHealth technology to activate patients living with type 2 diabetes in self-management behaviors. The research will shed light on implementation strategies in integrating mHealth into the clinical workflow of the PCMH setting. TRIAL REGISTRATION: ClinicalTrials.gov NCT02949037. https://clinicaltrials.gov/ct2/show/NCT02949037. (Archived by WebCite at http://www.webcitation.org/6oRyDzqei).