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Background This study assessed the utility of the Binge Eating Scale (BES) as a measure of binge eating disorder (BED) in a bariatric surgery-seeking population by (a) determining the optimal BES cut score for predicting BED, (b) calculating concordance statistics, and (c) determining the predictive value of each BES item. Methods Four hundred seventy-three patients presented for a psychological evaluation prior to Roux-en-Y gastric bypass surgery. The BES and the SCID semi-structured interview for BED were administered. Results Receiver operating characteristic curve analyses identified an optimal BES cut score of 17, which correctly classified 78% of patients with BED. A cut score of 27 improved this statistic, but significantly increased the number of false negatives, which is undesirable for a screening assessment. Discriminant function analyses revealed that nearly all BES items significantly predicted BED. Conclusions The BES is a valid screener of BED for patients seeking bariatric surgery; however, false positives can be expected. Administering the BES as part of a comprehensive psychological evaluation can help improve the assessment and treatment of patients presenting for bariatric surgery.

Weight bias involves negative attitudes and stereotypes towards individuals based on their weight, which can be explicit or implicit. This bias contributes to weight stigma, or the mistreatment and social devaluation of individuals based on weight. Weight stigma is linked to adverse physical and mental health outcomes, leading to reduced access and quality of healthcare for individuals with obesity. The American Diabetes Association (ADA)’s Obesity Association developed guidelines on recognizing and addressing weight bias and stigma. All healthcare professionals and staff should receive training on weight bias and stigma to improve care for individuals with obesity. Training should start early and continue throughout medical education and practice. Multicomponent training that combines education with hands-on learning is recommended to reduce explicit and implicit weight bias. Clinical practices, a potential source of stigmatization for people living with obesity, should be equipped with appropriate furniture and equipment to establish an inclusive environment. Privacy and sensitivity during anthropometric measurements are essential to minimize stigmatization. Healthcare professionals should use person-centered, non-judgmental language and engage individuals in shared decision-making to consider their health and goals. Asking permission to discuss weight and respecting individual preferences is crucial. The ADA’s Obesity Association encourages adopting these guidelines to reduce weight bias and stigma, emphasizing education, inclusive clinical environments, and effective communication to improve obesity care.

Community health center (CHC) patients experience a disproportionately high prevalence of chronic conditions and barriers to accessing technologies that might support the management of these conditions. One such technology includes tools used for remote patient monitoring (RPM), the use of which surged during the COVID-19 pandemic. The aim of this study was to assess how a CHC implemented an RPM program during the COVID-19 pandemic. This retrospective case study used a mixed methods explanatory sequential design to evaluate a CHC's implementation of a suite of RPM tools during the COVID-19 pandemic. Analyses used electronic health record-extracted health outcomes data and semistructured interviews with the CHC's staff and patients participating in the RPM program. The CHC enrolled 147 patients in a hypertension RPM program. After 6 months of RPM use, mean systolic blood pressure (BP) was 13.4 mm Hg lower and mean diastolic BP 6.4 mm Hg lower, corresponding with an increase in hypertension control (BP<140/90 mm Hg) from 33.3% of patients to 81.5%. Considerable effort was dedicated to standing up the program, reinforced by organizational prioritization of chronic disease management, and by a clinician who championed program implementation. Noted barriers to implementation of the RPM program were limited initial training, lack of sustained support, and complexities related to the RPM device technology. While RPM technology holds promise for addressing chronic disease management, successful RPM program requires substantial investment in implementation support and technical assistance.

Objective Diabetes Prevention Programs (DPP) are effective at reducing diabetes incidence via clinically significant weight loss. Co‐morbid mental health condition(s) may reduce the effect of DPP administered in‐person and telephonically but this has not been assessed for digital DPP. This report examines the moderating effect of mental health diagnosis on weight change among individuals who enrolled in digital DPP (enrollees) at 12 and 24 months. Methods Secondary analysis of prospective, electronic health record data from a study of digital DPP among adults (N = 3904) aged 65–75 with prediabetes (HbA1c 5.7%–6.4%) and obesity (BMI ≥30 kg/m2). Results Mental health diagnosis only moderated the effect of digital DPP on weight change during the first 7 months (p = 0.003) and the effect attenuated at 12 and 24 months. Results were unchanged after adjusting for psychotropic medication use. Among those without a mental health diagnosis, digital DPP enrollees lost more weight than non‐enrollees: −4.17 kg (95% CI, −5.22 to −3.13) at 12 months and −1.88 kg (95% CI, −3.00 to −0.76) at 24 months, whereas among individuals with a mental health diagnosis, there was no difference in weight loss between enrollees and non‐enrollees at 12 and 24 months (−1.25 kg [95% CI, −2.77 to 0.26] and 0.02 kg [95% CI, −1.69–1.73], respectively). Conclusions Digital DPP appears less effective for weight loss among individuals with a mental health condition, similar to prior findings for in‐person and telephonic modalities. Findings suggest a need for tailoring DPP to address mental health conditions.

Objective Given the effectiveness of both in‐person and digital diabetes prevention programs (DPPs), participants have an opportunity to select a delivery mode based on their needs and preferences. The objective of this study was to understand and compare participants’ experiences with digital and in‐person DPPs to identify factors that affected how useful participants perceived these two program delivery modes. Methods Semi‐structured interviews with participants who were enrolled in DPPs as either a digital (n = 23) or in‐person (n = 20) program within one health care system were conducted. Data were analyzed following the template method using the qualitative software NVivo 12. Results Findings from the interviews indicated that creating accountability for weight loss was crucial for all program participants. In the digital program, weight and food tracking played a central role in creating accountability, while in the in‐person program, group interactions fostered accountability. The digital program was perceived to encourage self‐monitoring, oftentimes resulting in participants’ reflection on their habits. The in‐person program provided a platform for group support and mutual encouragement. Conclusions Participants perceived both programs as similarly useful. Yet program characteristics such as the ability to engage with other participants in‐person or to seamlessly track weight on a daily basis appealed to different participants. It may be beneficial to align participants’ preferences with programs’ characteristics and strengths.

We aimed to inform the design of behavioral interventions by identifying patients' and their family members' perceived facilitators and barriers to hypertension self-management. We conducted focus groups of African American patients with hypertension and their family members to elicit their views about factors influencing patients' hypertension self-management. We recruited African American patients with hypertension (n = 18) and their family members (n = 12) from an urban, community-based clinical practice in Baltimore, Maryland. We conducted four separate 90-minute focus groups among patients with controlled (one group) and uncontrolled (one group) hypertension, as well as their family members (two groups). Trained moderators used open-ended questions to assess participants' perceptions regarding patient, family, clinic, and community-level factors influencing patients' effective hypertension self-management. Patient participants identified several facilitators (including family members' support and positive relationships with doctors) and barriers (including competing health priorities, lack of knowledge about hypertension, and poor access to community resources) that influence their hypertension self-management. Family members also identified several facilitators (including their participation in patients' doctor's visits and discussions with patients' doctors outside of visits) and barriers (including their own limited health knowledge and patients' lack of motivation to sustain hypertension self-management behaviors) that affect their efforts to support patients' hypertension self-management. African American patients with hypertension and their family members reported numerous patient, family, clinic, and community-level facilitators and barriers to patients' hypertension self-management. Patients' and their family members' views may help guide efforts to tailor behavioral interventions designed to improve hypertension self-management behaviors and hypertension control in minority populations.

In April 2018, CMS began reimbursing both clinical and community settings for providing the CDC-recognized Diabetes Prevention Program (DPP) to eligible Medicare beneficiaries. To better understand the process of offering the program to Medicare beneficiaries, we interviewed relevant stakeholders in a large, integrated health care delivery system.OBJECTIVESIn April 2018, CMS began reimbursing both clinical and community settings for providing the CDC-recognized Diabetes Prevention Program (DPP) to eligible Medicare beneficiaries. To better understand the process of offering the program to Medicare beneficiaries, we interviewed relevant stakeholders in a large, integrated health care delivery system.Qualitative interview study.STUDY DESIGNQualitative interview study.We conducted semistructured interviews with 12 delivery system stakeholders. Data were analyzed following a thematic analysis approach.METHODSWe conducted semistructured interviews with 12 delivery system stakeholders. Data were analyzed following a thematic analysis approach.Stakeholders described systemic challenges to the implementation of Medicare DPP (MDPP), including inadequate reimbursement for the health care system, low awareness of MDPP among patients and providers, and challenges with utilizing third-party vendors to connect patients to CDC-recognized MDPPs.RESULTSStakeholders described systemic challenges to the implementation of Medicare DPP (MDPP), including inadequate reimbursement for the health care system, low awareness of MDPP among patients and providers, and challenges with utilizing third-party vendors to connect patients to CDC-recognized MDPPs.Although the reimbursement of DPP for Medicare beneficiaries was a landmark decision, the current structure and requirements make it difficult for health systems and community-based providers to implement and promote this benefit. This study highlights the challenges that even integrated health systems are facing to implement MDPP, as well as potential strategies to overcome these barriers and expand the reach of the program. Medicare should seek ways to increase the financial incentives and decrease the barriers associated with implementing MDPP.CONCLUSIONSAlthough the reimbursement of DPP for Medicare beneficiaries was a landmark decision, the current structure and requirements make it difficult for health systems and community-based providers to implement and promote this benefit. This study highlights the challenges that even integrated health systems are facing to implement MDPP, as well as potential strategies to overcome these barriers and expand the reach of the program. Medicare should seek ways to increase the financial incentives and decrease the barriers associated with implementing MDPP.

Summary Objective The purpose of this study was to model weight trajectories over a 5‐year time period (2012–2016) and their association with behavioural and psychosocial characteristics and health care–related experiences using data from the Patient Outcomes Research to Advance Learning (PORTAL) overweight/obesity cohort. Methods Weight trajectories for each eligible patient in the PORTAL overweight/obesity cohort (n = 2864) were identified first using growth modelling; trajectories were then grouped using a hierarchical cluster analysis. Weight trajectory clusters that emerged were compared on demographics, and predictors of cluster membership were examined. Clusters were also compared on responses to a survey assessing health behaviours, quality of life, and health care experience completed in 2015 by 49% of the total sample (n = 1391). Results Seven distinct weight trajectory clusters were identified: (a) significant weight loss then maintenance; (b) higher stable weight; (c) moderate stable weight; (d) steady weight loss then relapse; (e) weight gain then weight loss; (f) steady weight gain then maintenance; and (g) lower stable weight. Age, sex, race/ethnicity, and body mass index at baseline predicted patient's weight trajectory (P < .001). Over two thirds of patients maintained their weight over the 5‐year period. Significant weight loss then maintenance, weight gain then weight loss, and higher stable weight patients were more likely to report receiving weight counselling from their provider. Patients in the significant weight loss then maintenance and lower stable weight clusters were more likely to be physically active than the other clusters. Conclusion Findings suggest variability in patterns of weight change among adults with overweight or obesity who have access to health care and that these patterns differ on demographic, behavioural and psychosocial factors, and health care experience.

Background Childhood obesity disproportionally affects children from low-income households. With the aim of informing interventions, this study examined pathways through which the physical and social home environment may promote childhood overweight/obesity in low-income households. Methods Data on health behaviors and the home environment were collected at home visits in low-income, urban households with either only normal weight (n = 48) or predominantly overweight/obese (n = 55) children aged 6–13 years. Research staff conducted comprehensive, in-person audits of the foods, media, and sports equipment in each household. Anthropometric measurements were collected, and children’s physical activity was assessed through accelerometry. Caregivers and children jointly reported on child sleep duration, screen time, and dietary intake of foods previously implicated in childhood obesity risk. Path analysis was used to test direct and indirect associations between the home environment and child weight status via the health behaviors assessed. Results Sleep duration was the only health behavior associated with child weight status (OR = 0.45, 95% CI: 0.27, 0.77), with normal weight children sleeping 33.3 minutes/day longer on average than overweight/obese children. The best-fitting path model explained 26% of variance in child weight status, and included paths linking chaos in the home environment, lower caregiver screen time monitoring, inconsistent implementation of bedtime routines, and the presence of a television in children’s bedrooms to childhood overweight/obesity through effects on screen time and sleep duration. Conclusions This study adds to the existing literature by identifying aspects of the home environment that influence childhood weight status via indirect effects on screen time and sleep duration in children from low-income households. Pediatric weight management interventions for low-income households may be improved by targeting aspects of the physical and social home environment associated with sleep.