Changes in Healthcare Utilization After Lifestyle Intervention for Weight Loss.

INTRODUCTION: This study evaluates the real-world impact of a lifestyle change program (LCP) on healthcare utilization in a large health system. METHODS: Using electronic health record data from a large health system in northern California, U.S., LCP participant and propensity-score-matched nonparticipant outcomes were compared in the second year post-participation: (1) overall healthcare utilization and (2) utilization and medications related to cardiometabolic conditions and obesity. Adult LCP participants between 2010 and 2017 were identified and matched 1:1 with replacement to comparable nonparticipants. Participants without electronic health record activity in the 12-36 months before baseline, or with conditions or procedures associated with substantial weight change, were excluded. Statistical analysis and modeling were performed in 2021-22. RESULTS: Compared to matched nonparticipants, LCP participants in the 12-24 months post-baseline were more likely to have specialty-care visits (+4.7%, 95% CI +1.8%, +7.6%), electronic communications (8.6%, 95% CI +5.6%, +11.7%), and urgent-care visits (+6.5%, 95% CI +3.0%, 10.0%). Participants also had more office visits for cardiometabolic conditions and obesity (+1.72 visits/patient, 95% CI +1.05, +2.39). CONCLUSIONS: Compared with matched nonparticipants, LCP participation was associated with higher utilization of outpatient services post-participation. Additional research could assess whether this indicates an increase in preventive care that could lead to improved future outcomes.

Examining paradoxical session attendance and weight loss relationships in a clinic based lifestyle modification intervention.

Objective: Evaluations of lifestyle modification interventions (LMIs), modeled after the Diabetes Prevention Program, have repeatedly shown a dose-response relationship between session attendance and weight loss. Despite this, not all participants had "average" weight loss experiences. Nearly one-third of LMI participants experienced unexpected, paradoxical outcomes (i.e., high attendance with little weight loss, and low attendance with clinically significant weight loss). Paradoxical weight-loss outcomes were characterized based on session attendance among participants in a group-based LMI in a real-world healthcare setting. This group-based LMI was delivered over 1 year to participants with the possibility of attending up to 25 sessions total. Methods: LMI participants identified in 2010-2017 from electronic health records were characterized as having low (<75%) or high (≥75%) session attendance. Weight-loss outcomes were defined as expected (≥5%, high-attendance; <5%, low-attendance) or paradoxical (≥5%, low-attendance; <5%, high-attendance). Paradoxical-outcome-associated characteristics were identified using logistic regression. Results: Among 1813 LMI participants, 1498 (82.6%) had low and 315 (17.4%) high session attendance; 555 (30.6%) had paradoxical outcomes, comprising 415 (74.8%) responders (≥5% weight-loss) and 140 (25.2%) non-responders (<5% weight-loss). Among participants with high session attendance, paradoxical non-responders were more likely to be female (odds ratio [OR]: 2.76; 95% confidence interval [CI]: 1.32, 5.77) and have type 2 diabetes (OR: 3.32; 95% CI: 1.01, 10.95). Among low-attendance participants, paradoxical responders were more likely to be non-Hispanic White and less likely to be non-Hispanic Black (OR: 0.35; 95% CI: 0.18, 0.69), non-Hispanic Asian (OR: 0.40; 95% CI: 0.22, 0.73), or Hispanic (OR: 0.53; 95% CI: 0.35, 0.80). Conclusions: In a healthcare setting, nearly one-third of LMI participants experienced paradoxical outcomes. More research is needed to understand the facilitators and barriers to weight loss above and beyond session attendance.

Lifestyle change program engagement in real-world clinical practice: a mixed-methods analysis.

Participant engagement in structured lifestyle change programs (LCPs) is essential for adopting behaviors that promote weight loss; however, the challenges to, and facilitators that promote, engagement with such programs are not well understood. We conducted a mixed-methods study among real-world LCP participants to assess factors associated with program engagement and to examine the reasons for withdrawal. Using electronic health records (EHR), we identified LCP eligible participants between 2010 and 2017. Multivariable logistic regression was used to assess associations between program engagement and baseline characteristics. Semi-structured interviews with LCP participants were conducted and thematically analyzed to examine reasons for withdrawal. A total of 1,813 LCP participants were included. The median number of sessions attended was 10 of 21-25 sessions. Highest LCP engagement was associated with factors potentially related to self-efficacy/motivation, such as older age, higher baseline weight, prior healthcare utilization and an absence of a history of smoking or depression. Engagement was also negatively associated with being Non-Hispanic Black versus White. The qualitative analysis of the interviews revealed four general themes pertaining to participants' withdrawal: competing priorities, perceived program effectiveness, characteristics of the program, and facilitator-related factors. Taken together, results from this mixed-methods study suggest that motivation and self-efficacy are important for program engagement; future LCP enhancements should incorporate flexible formats that may help participants manage competing priorities and maximize personal and cultural relevance for all racial/ethnic groups, especially those who have not benefitted fully. Furthermore, participants should be encouraged to set realistic goals to manage expectations.

Engaging in a structured lifestyle change program (LCP) is essential to learn healthy behaviors, however, it is not well understood. This study examined factors associated with program engagement and reasons for program withdrawal at a large healthcare system. Highest LCP engagement was found to be associated to factors potentially related to self-efficacy/motivation including older age, higher initial weight, and prior healthcare utilization. Non-Hispanic Black, history of smoking, and prior diagnosis of depression were found to be negatively associated with LCP engagement. Program withdrawal was related to four themes: competing priorities, perceived program effectiveness, characteristics of the program, and facilitator-related factors. These findings suggest that motivation and self-efficacy are important for behavior change program engagement.

Women, Younger Clinicians', and Caregivers' Experiences of Burnout and Well-being During COVID-19 in a US Healthcare System.

BACKGROUND: The COVID-19 pandemic brought rapid changes to the work and personal lives of clinicians. OBJECTIVE: To assess clinician burnout and well-being during the COVID-19 pandemic and guide healthcare system improvement efforts. DESIGN: A survey asking about clinician burnout, well-being, and work experiences. PARTICIPANTS: Surveys distributed to 8141 clinicians from June to August 2020 in 9 medical groups and 17 hospitals at Sutter Health, a large healthcare system in Northern California. MAIN MEASURES: Burnout was the primary outcome, and other indicators of well-being and work experience were also measured. Descriptive statistics and multivariate logistic regression analyses were performed. All statistical inferences were based on weighted estimates adjusting for response bias. KEY RESULTS: A total of 3176 clinicians (39.0%) responded to the survey. Weighted results showed 29.2% reported burnout, and burnout was more common among women than among men (39.0% vs. 22.7%, p<0.01). In multivariate models, being a woman was associated with increased odds of reporting burnout (OR=2.19, 95% CI: 1.51-3.17) and being 55+ years old with lower odds (OR=0.54, 95% CI: 0.34-0.87). More women than men reported that childcare/caregiving was impacting work (32.9% vs. 19.0%, p<0.01). Even after controlling for age and gender, clinicians who reported childcare/caregiving responsibilities impacted their work had substantially higher odds of reporting burnout (OR=2.19, 95% CI: 1.54-3.11). Other factors associated with higher burnout included worrying about safety at work, being given additional work tasks, concern about losing one's job, and working in emergency medicine or radiology. Protective factors included believing one's concerns will be acted upon and feeling highly valued. CONCLUSIONS: This large survey found the pandemic disproportionally impacted women, younger clinicians, and those whose caregiving responsibilities impacted their work. These results highlight the need for a holistic and targeted strategy for improving clinician well-being that addresses the needs of women, younger clinicians, and those with caregiving responsibilities.

How, when, and why individuals with stage IV cancer seen in an outpatient setting are referred to palliative care: a mixed methods study.

PURPOSE: Early palliative care (PC) for individuals with advanced cancer improves patient and family outcomes and experience. However, it is unknown when, why, and how in an outpatient setting individuals with stage IV cancer are referred to PC. METHODS: At a large multi-specialty group in the USA with outpatient PC implemented beginning in 2011, clinical records were used to identify adults diagnosed with stage IV cancer after January 1, 2012 and deceased by December 31, 2017 and their PC referrals and hospice use. In-depth interviews were also conducted with 25 members of medical oncology, gynecological oncology, and PC teams and thematically analyzed. RESULTS: A total of 705 individuals were diagnosed and died between 2012 and 2017: of these, 332 (47%) were referred to PC, with 48.5% referred early (within 60 days of diagnosis). Among referred patients, 79% received hospice care, versus 55% among patients not referred. Oncologists varied dramatically in their rates of referral to PC. Interviews revealed four referral pathways: early referrals, referrals without active anti-cancer treatment, problem-based referrals, and late referrals (when stopping treatment). Participants described PC's benefits as enhancing pain/symptom management, advance care planning, transitions to hospice, end-of-life experiences, a larger team, and more flexible patient care. Challenges reported included variation in oncologist practices, patient fears and misconceptions, and access to PC teams. CONCLUSION: We found high rates of use and appreciation of PC. However, interviews revealed that exclusively focusing on rates of referrals may obscure how referrals vary in timing, reason for referral, and usefulness to patients, families, and clinical teams.

Barriers and Facilitators to Real-world Implementation of the Diabetes Prevention Program in Large Healthcare Systems: Lifestyle Coach Perspectives.

BACKGROUND: Group-based lifestyle change programs based on the Diabetes Prevention Program (DPP) are associated with clinically significant weight loss and decreases in cardiometabolic risk factors. However, these benefits depend on successful real-world implementation. Studies have examined implementation in community settings, but less is known about integration in healthcare systems, and particularly in large, multi-site systems with the potential for extended reach. OBJECTIVE: To examine the barriers and facilitators to successful DPP implementation in a large multi-site healthcare system. DESIGN: Semi-structured interviews, based on the RE-AIM framework, were conducted in person for 30-90 min each. PARTICIPANTS: Past and present DPP lifestyle coaches in the healthcare system identified using purposive sampling. APPROACH: Thematic analysis of qualitative data to identify key factors influencing the success of DPP implementation. An iterative consensus process was used to model the relationships among factors. KEY RESULTS: We conducted 33 interviews across 20 clinic sites serving 12 counties. Participants described six key factors as potential barriers or facilitators to implementation, including (1) Broader Context, including the surrounding physical and sociodemographic context; (2) Institutional Context, including finances, infrastructure, and personnel; (3) Program Provision, including curriculum, administration, cost, goals, and visibility; (4) Recruitment Process, including screening and referrals; (5) Lifestyle Coaches, including their characteristics, behaviors, and morale; and (6) Cohort, including group attrition/retention and interpersonal dynamics. These factors were both highly interconnected in their impact on implementation and widely variable across sites within the healthcare system, as illustrated in our multi-level conceptual framework. CONCLUSIONS: This study identified key factors that could serve as barriers or facilitators in the implementation of DPP in large healthcare systems, from the perspective of lifestyle coaches. With further examination, the conceptual model presented here may be used for planning and managing the implementation of group-based behavioral interventions in these settings.

Implementation of a group-based diabetes prevention program within a healthcare delivery system.

BACKGROUND: Group-based Diabetes Prevention Programs (DPP), aligned with recommendations from the Centers for Disease Control and Prevention, promote clinically significant weight loss and reduce cardio-metabolic risks. Studies have examined implementation of the DPP in community settings, but less is known about its integration in healthcare systems. In 2010, a group-based DPP known as the Group Lifestyle Balance (GLB) was implemented within a large healthcare delivery system in Northern California, across three geographically distinct regional administration divisions of the organization within 12 state counties, with varying underlying socio-demographics. The regional divisions implemented the program independently, allowing for natural variation in its real-world integration. We leveraged this natural experiment to qualitatively assess the implementation of a DPP in this healthcare system and, especially, its fidelity to the original GLB curriculum and potential heterogeneity in implementation across clinics and regional divisions. METHODS: Using purposive sampling, we conducted semi-structured interviews with DPP lifestyle coaches. Data were analyzed using mixed-method techniques, guided by an implementation outcomes framework consisting of eight constructs: acceptability, adoption, appropriateness, cost, feasibility, fidelity, penetration, and sustainability. RESULTS: We conducted 33 interviews at 20 clinics across the three regional administrative divisions. Consistencies in implementation of the program were found across regions in terms of satisfaction with the evidence base (acceptability), referral methods (adoption), eligibility criteria (fidelity), and strategies to increase retention and effectiveness (sustainability). Heterogeneity in implementation across regions were found in all categories, including: the number and frequency of sessions (fidelity); program branding (adoption); lifestyle coach training (adoption), and patient-facing cost (cost). Lifestyle coaches expressed differing attitudes about curriculum content (acceptability) and suitability of educational level (appropriateness). While difficulties with recruitment were common across regions (feasibility), strategies used to address these challenges differed (sustainability). CONCLUSIONS: Variation exists in the implementation of the DPP within a large multi-site healthcare system, revealing a dynamic and important tension between retaining fidelity to the original program and tailoring the program to meet the local needs. Moreover, certain challenges across sites may represent opportunities for considering alternative implementation to anticipate these barriers. Further research is needed to explore how differences in implementation domains impact program effectiveness.

Racial and Ethnic Disparities in Opioid Prescribing for Long Bone Fractures at Discharge From the Emergency Department: A Cross-sectional Analysis of 22 Centers From a Health Care Delivery System in Northern California.

STUDY OBJECTIVE: We examine racial and ethnic differences in opioid prescribing and dosing for long bone fractures at emergency department (ED) discharge. METHODS: We conducted an electronic health records-based cross-sectional study of adults with long bone fractures who presented to the ED across 22 sites from a health care delivery system (2016 to 2017). We examined differences in opioid prescribing at ED discharge and, among patients with a prescription, differences in opioid dosing (measured as morphine milligram equivalents) by race/ethnicity, using regression modeling with statistical adjustment for patient, fracture, and prescriber characteristics. RESULTS: A total of 11,576 patients with long bone fractures were included in the study; 64.4% were non-Hispanic white; 16.4%, 7.3%, 5.8%, and 5.1%, respectively, were Hispanic, Asian, black, and of other or unknown race; and 65.6% received an opioid at discharge. After adjusting for other factors, rates of opioid prescribing were not different by race/ethnicity; however, among patients with an opioid prescription, total morphine milligram equivalent units prescribed were 4.3%, 6.0%, and 8.1% less for Hispanics, blacks, and Asians relative to non-Hispanic whites. CONCLUSION: Racial and ethnic minority groups with long bone fractures receive similar frequencies of opioid prescriptions at discharge, with a small potency difference. How this affects pain relief and why it happens is unclear.