Shared medical appointments for weight loss: a systematic review

Implementation of a virtual, shared medical appointment program that focuses on food as medicine principles in a population with obesity: the SLIM program

Background

Multimodal lifestyle interventions, employing food as medicine, stand as the recommended first-line treatment for obesity. The Shared Medical Appointment (SMA) model, where a physician conducts educational sessions with a group of patients sharing a common diagnosis, offers an avenue for delivery of comprehensive obesity care within clinical settings. SMAs, however, are not without implementation challenges. We aim to detail our experience with three implementation models in launching a virtual integrative health SMA for weight management.

Methods

Eligible patients included individuals 18 years of age or older, having a body mass index (BMI) of 30 kg/m2 or 27 kg/m2 or greater with at least one weight related comorbidity. The Practical, Robust Implementation and Sustainability Model (PRISM), Plan, Do, Study, Act (PDSA), and the Framework for Reporting Adaptations and Modifications-Enhanced (FRAME) models were applied to guide the implementation of the Supervised Lifestyle Integrative Medicine (SLIM) program, a virtually delivered, lifestyle medicine focused SMA program, in a weight management clinic within a major health system. We describe how these models, along with attendance for the initial cohorts, were used for decision-making in the process of optimizing the program.

Results

172 patients completed the SLIM program over two years. Attendance was lowest for sessions held at 8:00 AM and 4:00 PM compared to sessions at 10:00 AM, 1:00 PM, and 3:00 PM, leading to only offering midday sessions (p = 0.032). Attendance data along with feedback from patients, facilitators, and administrative partners led to changes in the curriculum, session number and frequency, session reminder format, and intake visit number.

Conclusion

The use of implementation and quality improvement models provided crucial insight for deployment and optimization of a virtual, lifestyle medicine focused SMA program for weight management within a large healthcare system.

BRIDGE to liver health: implementation of a group telehealth psychoeducational program through shared medical appointments for MASLD management

BACKGROUND

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significantly costly and increasingly prevalent disease, with treatment focused on lifestyle intervention. Integrating education and behavioral health into clinical care offers opportunities to engage and empower patients to prevent progression of liver disease. We describe the design and implementation of Behavioral Resources and Intervention through Digital Group Education (BRIDGE), a 6-session group telehealth program led by advanced practice providers (APPs) in 90-min shared medical appointments (SMAs) with small groups of MASLD patients in an academic outpatient hepatology clinic. The program contains multi-component group interventions, with didactic education and behavioral coaching, while leveraging peer-based learning and support.

METHODS

A mixed-methods exploratory pilot study was conducted. Feasibility and acceptability of the clinical intervention were assessed by tracking recruitment, attendance, and retention of BRIDGE participants, patient interviews, and debriefing of clinician and staff views of the clinical program. Implementation metrics included program development time, workflow and scheduling logistics, and billing compliance for sustainability. Finally, patient parameters including changes in liver enzymes, FIB-4, weight, and BMI from pre- to post-BRIDGE were retrospectively analyzed.

RESULTS

We included 57 participants (median age 57, interquartile range (IQR) 50 - 65 years), 38 (67%) female, 38 (67%) white, and 40% had public insurance. Thirty-three (58%) participants completed all six sessions, while 43 (75%) attended at least five sessions. Patients who completed all sessions were older (median age 61 vs 53.5; p = 0.01). Gender, race/ethnicity, and insurance type were not significantly associated with missed sessions, and patients had similar rates of completion regardless of weight, BMI, or stage of liver disease. Barriers to completion included personal illness, family reasons, work commitments, or insurance issues. Prior to BRIDGE, median BMI was 31.9 (SD 29 - 36), with a median weight loss of 2 pounds (IQR -2 - 6) after BRIDGE.

CONCLUSION

The BRIDGE telehealth SMA program was feasible, well-attended, and positively reviewed. This pilot study informs future iterations of program development and evaluation of outcome measures.

American College of Lifestyle Medicine Expert Consensus Statement: Lifestyle Medicine for Optimal Outcomes in Primary Care

OBJECTIVE

Identify areas of consensus on integrating lifestyle medicine (LM) into primary care to achieve optimal outcomes.

METHODS

Experts in both LM and primary care followed an a priori protocol for developing consensus statements. Using an iterative, online process, panel members expressed levels of agreement with statements, resulting in classification as consensus, near consensus, or no consensus.

RESULTS

The panel identified 124 candidate statements addressing: (1) Integration into Primary Care, (2) Delivery Models, (3) Provider Education, (4) Evidence-base for LM, (5) Vital Signs, (6) Treatment, (7) Resource Referral and Reimbursement, (8) Patient, Family, and Community Involvement; Shared Decision-Making, (9) Social Determinants of Health and Health Equity, and (10) Barriers to LM. After three iterations of an online Delphi survey, statement revisions, and removal of duplicative statements, 65 statements met criteria for consensus, 24 for near consensus, and 35 for no consensus. Consensus was reached on key topics that included LM being recognized as an essential component of primary care in patients of all ages, including LM as a foundational element of health professional education.

CONCLUSION

The practice of LM in primary care can be strengthened by applying these statements to improve quality of care, inform policy, and identify areas for future research.

Conservative Treatment for Childhood and Adolescent Obesity: Real World Follow-Up Profiling and Clinical Evolution in 1300 Patients

Background: Limited therapeutic tools and an overwhelming clinical demand are the major limiting factors in pediatric obesity management. The optimal protocol, environment, body mass index (BMI) change targets and duration of obesity-oriented interventions remain to be elucidated. Aims: We aimed to characterize the singularities of follow-up, anthropometric and metabolic evolution of a large cohort of pediatric patients with obesity in a specialized university hospital outpatient obesity unit. Patients and methods: Follow-up duration (up to seven years), attrition rate and anthropometric and metabolic evolution of 1300 children and adolescents with obesity were studied. An individualized analysis was conducted in patients attaining a high level of weight loss (over 1.5 BMI-SDS (standard deviation score) and/or 10% of initial weight; n = 252; 19.4%) as well as in "metabolically healthy" patients (n = 505; 38.8%). Results: Attrition rate was high during the early stages (11.2% prior to and 32.5% right after their initial metabolic evaluation). Mean follow-up time was 1.59 ± 1.60 years (7% of patients fulfilled 7 years). The highest BMI reduction occurred in the first year (-1.11 ± 0.89 SDS, p < 0.001 in 72.5% of patients). At the end of the follow-up, improvements in glucose and lipid metabolism parameters were observed (both p < 0.05), that were highest in patients with the greatest weight reduction (all p < 0.01), independent of the time spent to achieve weight loss. The pubertal growth spurt negatively correlated with obesity severity (r = -0.38; p < 0.01) but patients attaining adult height exceeded their predicted adult height (n = 308, +1.6 ± 5.4 cm; p < 0.001). "Metabolically healthy" patients, but with insulin resistance, had higher blood pressure, glucose, uric acid and triglyceride levels than those without insulin resistance (all p < 0.05). Preservation of the "metabolically healthy" status was associated with BMI improvement. Conclusions: Behavioral management of children with obesity can be effective and does not impair growth but is highly conditioned by high attrition. The best results regarding BMI reduction and metabolic improvement are achieved in the first year of intervention and can be preserved if follow-up is retained.