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Evidence exist that primary care referral to an open-group behavioural programme is an effective strategy for management of obesity, but little evidence on optimal intervention duration is available. We aimed to establish whether 52-week referral to an open-group weight-management programme would achieve greater weight loss and improvements in a range of health outcomes and be more cost-effective than the current practice of 12-week referrals. In this non-blinded, parallel-group, randomised controlled trial, we recruited participants who were aged 18 years or older and had body-mass index (BMI) of 28 kg/m2 or higher from 23 primary care practices in England. Participants were randomly assigned (2:5:5) to brief advice and self-help materials, a weight-management programme (Weight Watchers) for 12 weeks, or the same weight-management programme for 52 weeks. We followed-up participants over 2 years. The primary outcome was weight at 1 year of follow-up, analysed with mixed-effects models according to intention-to-treat principles and adjusted for centre and baseline weight. In a hierarchical closed-testing procedure, we compared combined behavioural programme arms with brief intervention, then compared the 12-week programme and 52-week programme. We did a within-trial cost-effectiveness analysis using person-level data and modelled outcomes over a 25-year time horizon using microsimulation. This study is registered with Current Controlled Trials, number ISRCTN82857232. Between Oct 18, 2012, and Feb 10, 2014, we enrolled 1269 participants. 1267 eligible participants were randomly assigned to the brief intervention (n=211), the 12-week programme (n=528), and the 52-week programme (n=528). Two participants in the 12-week programme had been found to be ineligible shortly after randomisation and were excluded from the analysis. 823 (65%) of 1267 participants completed an assessment at 1 year and 856 (68%) participants at 2 years. All eligible participants were included in the analyses. At 1 year, mean weight changes in the groups were −3·26 kg (brief intervention), −4·75 kg (12-week programme), and −6·76 kg (52-week programme). Participants in the behavioural programme lost more weight than those in the brief intervention (adjusted difference −2·71 kg, 95% CI −3·86 to −1·55; p<0·0001). The 52-week programme was more effective than the 12-week programme (−2·14 kg, −3·05 to −1·22; p<0·0001). Differences between groups were still significant at 2 years. No adverse events related to the intervention were reported. Over 2 years, the incremental cost-effectiveness ratio (ICER; compared with brief intervention) was £159 per kg lost for the 52-week programme and £91 per kg for the 12-week programme. Modelled over 25 years after baseline, the ICER for the 12-week programme was dominant compared with the brief intervention. The ICER for the 52-week programme was cost-effective compared with the brief intervention (£2394 per quality-adjusted life-year [QALY]) and the 12-week programme (£3804 per QALY). For adults with overweight or obesity, referral to this open-group behavioural weight-loss programme for at least 12 weeks is more effective than brief advice and self-help materials. A 52-week programme produces greater weight loss and other clinical benefits than a 12-week programme and, although it costs more, modelling suggests that the 52-week programme is cost-effective in the longer term. National Prevention Research Initiative, Weight Watchers International (as part of an UK Medical Research Council Industrial Collaboration Award).

Obesity is a prevalent health care issue associated with disability, premature morality, and high costs. Behavioral weight management interventions lead to clinically significant weight losses in overweight and obese individuals; however, many individuals are not able to participate in these face-to-face treatments due to limited access, cost, and/or time constraints. Technological advances such as widespread access to the Internet, increased use of smartphones, and newer behavioral self-monitoring tools have resulted in the development of a variety of eHealth weight management programs. In the present paper, a summary of the most current literature is provided along with potential solutions to methodological challenges (e.g., high attrition, minimal participant racial/ethnic diversity, heterogeneity of technology delivery modes). Dissemination and policy implications will be highlighted as future directions for the field of eHealth weight management.

Background The majority of mid-life and older adults in the UK are not achieving recommended physical activity levels and inactivity is associated with many health problems. Walking is a safe, appropriate exercise. The PACE-UP trial sought to increase walking through the structured use of a pedometer and handbook, with and without support from a practice nurse trained in behaviour change techniques (BCTs). Understanding barriers and facilitators to engagement with a primary care based physical activity intervention is essential for future trials and programmes. Methods We conducted semi-structured telephone interviews using a topic guide with purposive samples of participants who did and did not increase their walking from both intervention groups. Interviews were audio-recorded, transcribed and coded independently by researchers prior to performing a thematic analysis. Responsiveness to the specific BCTs used was also analysed. Results Forty-three trial participants were interviewed in early 2014. Almost all felt they had benefitted, irrespective of their change in step-count, and that primary care was an appropriate setting. Important facilitators included a desire for a healthy lifestyle, improved physical health, enjoyment of walking in the local environment, having a flexible routine allowing for an increase in walking, appropriate self and external monitoring and support from others. Important barriers included physical health problems, an inflexible routine, work and other commitments, the weather and a mistrust of the monitoring equipment. BCTs that were reported to have the most impact included: providing information about behaviour-health link; prompting self-monitoring and review of goals and outcomes; providing feedback; providing specific information about how to increase walking; planning social support/change; and relapse prevention. Rewards were unhelpful. Conclusions Despite our expectation that there would be a difference between the experiences of those who did and did not objectively increase their walking, we found that most participants considered themselves to have succeeded in the trial and benefitted from taking part. Barriers and facilitators were similar across demographic groups and trial outcomes. Findings indicated several BCTs on which PA trial and programme planners could focus efforts with the expectation of greatest impact as well as strong support for primary care as an appropriate venue. Trial registration ISRCTN98538934 .

ABSTRACT BACKGROUND African Americans are significantly more likely than whites to have uncontrolled hypertension, contributing to significant disparities in cardiovascular disease and events. OBJECTIVE The goal of this study was to examine whether there were differences in change in blood pressure (BP) for African American and non-Hispanic white patients in response to a medication management and tailored nurse-delivered telephone behavioral program. PARTICIPANTS Five hundred and seventy-three patients (284 African American and 289 non-Hispanic white) primary care patients who participated in the Hypertension Intervention Nurse Telemedicine Study (HINTS) clinical trial. INTERVENTIONS Study arms included: 1) nurse-administered, physician-directed medication management intervention, utilizing a validated clinical decision support system; 2) nurse-administered, behavioral management intervention; 3) combined behavioral management and medication management intervention; and 4) usual care. All interventions were activated based on poorly controlled home BP values. MAIN MEASURES Post-hoc analysis of change in systolic and diastolic blood pressure. General linear models (PROC MIXED in SAS, version 9.2) were used to estimate predicted means at 6-month, 12-month, and 18-month time points, by intervention arm and race subgroups (separate models for systolic and diastolic blood pressure). KEY RESULTS Improvement in mean systolic blood pressure post-baseline was greater for African American patients in the combined intervention, compared to African American patients in usual care, at 12 months (6.6 mmHg; 95 % CI: -12.5, -0.7; p = 0.03) and at 18 months (9.7 mmHg; -16.0, -3.4; p = 0.003). At 18 months, mean diastolic BP was 4.8 mmHg lower (95 % CI: -8.5, -1.0; p = 0.01) among African American patients in the combined intervention arm, compared to African American patients in usual care. There were no analogous differences for non-Hispanic white patients. CONCLUSIONS The combination of home BP monitoring, remote medication management, and telephone tailored behavioral self-management appears to be particularly effective for improving BP among African Americans. The effect was not seen among non-Hispanic white patients.

To evaluate a diabetes (DM) care delivery model among hyperglycemic adults with type 2 DM being discharged from the emergency department (ED) to home. The primary hypothesis was that a focused education and medication management intervention would lead to a greater short-term improvement in glycemic control compared to controls. A 4-week, randomized controlled trial provided antihyperglycemic medications management using an evidence-based algorithm plus survival skills diabetes self-management education (DSME) for ED patients with blood glucose (BG) levels ≥200 mg/dL. The intervention was delivered by endocrinologist-supervised certified diabetes educators. Controls received usual ED care. Among 101 participants (96% Black, 54% female, 62.3% Medicaid and/or Medicare insurance), 77% completed the week 4 visit. Glycated hemoglobin A1C (A1C) went from 11.8 ± 2.4 to 10.5 ± 1.9% (P<.001) and 11.5 ± 2.0 to 11.1 ± 2.1% in the intervention and control groups, respectively (P = .012). At 4 weeks, the difference in A1C reduction between groups was 0.9% (P = .01). Mean BG decreased for both groups (P<.001), with a higher percentage of intervention patients (65%) reaching a BG <180 mg/dL compared to 29% of controls (P = .002). Hypoglycemia rates did not differ by group, and no severe hypoglycemia was reported. Medication adherence (Modified Morisky Score(©)) improved from low to medium (P<.001) among intervention patients and did not improve among controls. This study provides evidence that a focused diabetes care delivery intervention can be initiated in the ED among adults with type 2 diabetes and hyperglycemia and safely and effectively completed in the ambulatory setting. Improvement in short-term glycemic outcomes and medication adherence were observed.

Background Urban schools lag behind non-urban schools in attending to the behavioral health needs of their students. This is especially evident with regard to the level of use of evidence-based interventions with school children. Increased used of evidence-based interventions in urban schools would contribute to reducing mental health services disparities in low-income communities. School-wide positive behavioral interventions and supports (SWPBIS) is a service delivery framework that can be used to deliver universal preventive interventions and evidence-based behavioral health treatments, such as group cognitive behavioral therapy. In this article, we describe our ongoing research on creating internal capacity for program implementation. We also examine the cost-effectiveness and resulting school climate when two different levels of external support are provided to personnel as they implement a two-tier SWPBIS program. Methods/Design The study follows six K – 8 schools in the School District of Philadelphia randomly assigned to consultation support or consultation-plus-coaching support. Participants are: approximately 48 leadership team members, 180 school staff and 3,900 students in Tier 1, and 12 counselors, and 306 child participants in Tier 2. Children who meet inclusion criteria for Tier 2 will participate in group cognitive behavioral therapy for externalizing or anxiety disorders. The study has three phases, baseline/training, implementation, and sustainability. We will measure implementation outcomes, service outcomes, child outcomes, and cost. Discussion Findings from this study will provide evidence as to the appropriateness of school-wide prevention and treatment service delivery models for addressing services disparities in schools. The effectiveness and cost-effectiveness analyses of the two levels of training and consultation should help urban school districts and policymakers with the planning and deployment of cost-effective strategies for the implementation of evidence-based interventions for some of the most common behavioral health problems in school children. Trial registration ClinicalTrials.gov identifier: NCT01941069

The present study uses the Interactive Systems Framework (ISF) to understand how general capacity influences the implementation of prevention programs in afterschool settings. Eight afterschool sites received the Good Behavior Game (GBG) intervention, a program designed to foster supportive behavioral management and positive youth behavior. In line with the Prevention Support System component of ISF, the intervention afterschool staff were trained and received weekly on-site support from coaches in implementing the GBG. It was found that GBG implementation scores were greatest in afterschool programs that rated high on both organizational- and community-levels of general capacity; high scores on only one level of general capacity resulted in lower implementation scores. Thus, afterschool sites that were more organized, maintained adequate facilities, and developed strong linkages to individuals or organizations in the community scored highest in implementation fidelity and quality. This study highlights the importance of considering interactions among multiple levels of general capacity in efforts to promote evidence-based practices in afterschool settings. Caution should be taken in generalizing findings due to the small sample in this study.

This article presents a metasynthesis of the literature from 1996 through 2005 on randomized clinical or controlled trials comparing effects of tailored interventions to those of control conditions or other interventions. A search was conducted for publications written in English using the terms \"patient-centered interventions,\" \"tailored interventions,\" and \"individualized interventions,\" using Ovid and Elton B. Stephens Company (EBSCO) Host databases. A total of 245 publications were located after deleting duplicates. An additional six studies were identified from two syntheses of intervention research. A total of 63 studies met the inclusion criteria, and 49 of these reported that tailored interventions were superior to control conditions for one or more of the main outcomes. The evidence strongly supports the efficacy of tailored behavioral interventions and provides beginning support for the efficacy of tailored psychosocial and biological interventions.

As more behavioral health interventions move from traditional to digital platforms, the application of evidence-based theories and techniques may be doubly advantageous. First, it can expedite digital health intervention development, improving efficacy, and increasing reach. Second, moving behavioral health interventions to digital platforms presents researchers with novel (potentially paradigm shifting) opportunities for advancing theories and techniques. In particular, the potential for technology to revolutionize theory refinement is made possible by leveraging the proliferation of “real-time” objective measurement and “big data” commonly generated and stored by digital platforms. Much more could be done to realize this potential. This paper offers proposals for better leveraging the potential advantages of digital health platforms, and reviews three of the cutting edge methods for doing so: optimization designs, dynamic systems modeling, and social network analysis.