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.

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.

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.