Dataset Information

RE-AIM evaluation of the Veterans Health Administration's MOVE! Weight Management Program.

ABSTRACT:

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Over one-third of patients treated in the Veterans Health Administration (VHA) are obese. VHA introduced the MOVE! Weight Management Program for Veterans in 2006 to provide comprehensive weight management services. An evolving, periodic evaluation using the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance) has been conducted to gauge success and opportunities for improvement. Key metrics were identified in each RE-AIM dimension. Data were compiled over fiscal years (FY) 2006 through 2010 from a variety of sources including VHA administrative and clinical databases, electronic medical record reviews, and an annual, structured VHA facility self-report. REACH: Screening for obesity and offering weight management treatment to eligible patients increased from 66% to 95% over the past 3 years. MOVE! is currently provided at every VHA hospital facility and at over one-half of VHA community-based outpatient clinics. The percent of eligible patients who participate in at least one weight management visit has doubled since implementation began but has stabilized at 10 to 12%.

Effectiveness

About 18.6% of the 31,854 patients with available weight data who participated in at least two treatment visits between Jul 1, 2008 and Sep 30, 2009 had at least a 5% body weight loss by 6 months as did almost one-third of those who participated in more intense and sustained treatment. By contrast, only 12.5% of a comparison group of patients matched on age, gender, body mass index (BMI) class, and comorbidity status who were not treated with MOVE! had at least a 5% body weight loss. ADOPTION: The median full-time staff equivalent providing weight management services at each facility has increased over time and was 1.76 in FY 2010.

Implementation

Staff from multiple disciplines typically provide MOVE!-related care although not all disciplines are involved with providing care at every facility. Group-based treatment has become increasingly utilized, and in FY 2010 it represented 72% of all MOVE!-related visits. Intensity of treatment has increased from an average of 3.6 visits per patient per year in FY 2007 to 4.6 in FY 2010, but more than half of patients have two visits or less. Almost all facilities now report the consistent use of key evidence-based behavioral strategies with patients. MAINTENANCE: While participation in MOVE! by patients continues to grow each year, facility self-reported program staffing and space/equipment challenges are potential barriers to long-term program maintenance. Evidence-based weight management treatment can be delivered at VHA medical centers and community-based outpatient clinics, but the REACH remains limited after several years of implementation. Intense and sustained treatment with MOVE! results in a modest positive impact on short-term weight loss outcomes, but a relatively small proportion of patients engage in this level of care. Increasing reach, improving effectiveness of care, and keeping patients engaged in treatment are areas for future policy, practice, and research.

SUBMITTER: Kahwati LC

PROVIDER: S-EPMC3717682 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature

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RE-AIM evaluation of the Veterans Health Administration's MOVE! Weight Management Program.

Kahwati Leila C LC Lance Trang X TX Jones Kenneth R KR Kinsinger Linda S LS

Translational behavioral medicine 20111201 4

<h4>Unlabelled</h4>Over one-third of patients treated in the Veterans Health Administration (VHA) are obese. VHA introduced the MOVE! Weight Management Program for Veterans in 2006 to provide comprehensive weight management services. An evolving, periodic evaluation using the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance) has been conducted to gauge success and opportunities for improvement. Key metrics were identified in each RE-AIM dimension. Data were compi ...[more]

PMID: 24073079

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Project description:BackgroundFor more than a decade, the Veterans Health Administration (VHA) has offered MOVE!, a comprehensive lifestyle intervention for weight management. However, there is limited knowledge to inform resource allocation decisions at the health system level-for example, the choice between reaching new veterans with weight management treatment, re-engaging veterans who have stopped attending, and/or increasing contact with current MOVE!ParticipantsObjectiveTo inform VHA policy and planning, this VHA-wide study examines the relationship between MOVE! participation and weight outcomes.DesignA longitudinal observational study of veterans across VHA who participated in MOVE!.ParticipantsVeterans who initiated their most recent episode of MOVE! care between 2004 and 2014.Main measuresWeight measurements were abstracted from VHA electronic health records. The primary outcome was the proportion of veterans with clinically relevant weight loss. The predictor of interest was number of MOVE! contacts during the 12 months following MOVE! initiation.Key resultsThe cohort consisted of 237,577 veterans (87.4% male; mean age 54.4 years), who had 5.3 contacts on average in the 12 months following initiation. Veterans with 2-5 contacts had the same odds of achieving clinically relevant weight loss as veterans with only one contact (adjusted OR: 1.00, 95% CI: 0.98-1.03). Veterans with 6-9, 10-13, 14-17, and 18 or more contacts had significantly higher odds of clinically relevant weight loss (adjusted OR: 1.17, 95% CI: 1.13-1.20; adjusted OR: 1.53, 95% CI: 1.47-1.59; adjusted OR: 1.84, 95% CI: 1.74-1.94; adjusted OR: 2.21, 95% CI: 2.12-2.31, respectively).ConclusionsVeterans with ≥6 MOVE! contacts in the year following treatment initiation were significantly more likely to achieve clinically relevant weight loss than those with one contact, with greater participation further increasing the odds of clinically relevant weight loss. While further characterization of weight loss predictors is needed, the VHA should provide policy guidance that supports increasing participation among veterans who have initiated MOVE!.

Project description:BackgroundThe burden of obesity is high among US veterans, yet many face barriers to engaging in in-person, facility-based treatment programs. To improve access to weight-management services, the Veterans Health Administration (VHA) developed TeleMOVE, a home-based, 82-day curriculum that utilizes in-home messaging devices to promote weight loss in VHA patients facing barriers to accessing facility-based services.ObjectiveThe primary aim was to establish preliminary evidence for the program by comparing outcomes for TeleMOVE with standard, facility-based MOVE weight-management services (group, individual modalities) over the evaluation period based on the number of patients enrolled per site and the program's clinical effectiveness, as demonstrated by average weight lost per patient. The secondary aim was to understand factors influencing TeleMOVE implementation variability across demonstration sites to develop recommendations to improve national program dissemination.MethodsWe employed a formative mixed-methods design to evaluate the phased implementation of TeleMOVE at 9 demonstration sites and compare patient- and site-level measures of program uptake. Data were collected between October 1, 2009 and September 30, 2011. Patient-level program outcomes were extracted from VHA patient care databases to evaluate program enrollment rates and clinical outcomes. To assess preliminary clinical effectiveness, weight loss outcomes for veterans who enrolled in TeleMOVE were compared with outcomes for veterans enrolled in standard MOVE! at each demonstration site, as well as with national averages during the first 2 years of program implementation. For the secondary aim, we invited program stakeholders to participate in 2 rounds of semistructured interviews about aspects of TeleMOVE implementation processes, site-level contextual factors, and program delivery. Twenty-eight stakeholders participated in audio-recorded interviews.ResultsAlthough stakeholders at 3 sites declined to be interviewed, objective program uptake was high at 2 sites, delayed-high at 2 sites, and low at 5 sites. At 6 months post enrollment, the mean weight loss was comparable for TeleMOVE (n=417) and MOVE! (n=1543) participants at -5.2 lb (SD 14.4) and -5.1 lb (SD 12.2), respectively (P=.91). All sites reported high program complexity because TeleMOVE required more staff time per participant than MOVE! due to logistical and technical assistance issues related to the devices. High-uptake sites overcame implementation challenges by leveraging communication networks with stakeholders, adapting the program to patient needs whenever possible, setting programmatic goals and monitoring feedback of results, and taking time to reflect and evaluate on delivery to foster incremental delivery improvements, whereas low-uptake sites reported less leadership support and effective communication among stakeholders.ConclusionsThis implementation evaluation of a clinical telehealth program demonstrated the value of partnership-based research in which researchers not only provided operational leaders with feedback regarding the effectiveness of a new program but also relevant feedback into contextual factors related to program implementation to enable adaptations for national deployment efforts.

Project description:ObjectiveMost formats of currently used community-based health education for cognitive impairment prevention are limited to one-way communication, such as distributing leaflets, pasting posters, or holding a lecture, and they lack comprehensive evaluation. Here we aim to design, test, and evaluate a novel pilot cognitive health education program combined with psychosocial interventions (CHECPI).MethodsWe designed the CHECPI program and tested it among adults aged 60 and over in an aging-friendly community in 2018. Multidimensional cognitive functions were measured by the Montreal Cognitive Assessment (MoCA) before and three months after the CHECPI program. Quantitative and qualitative analyses were performed based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to evaluate the program. Wilcoxon signed-rank tests were used to assess changes in multidimensional cognitive functions.ResultsThe CHECPI program was comprised of 12 courses and introduced 5 kinds of psychosocial interventions. Reach: 28 older adults participated in the program, of whom most were female (n = 22) and younger elderly with an average age of 65.32 years. Effectiveness: 19 participants finished≥6 courses as well as the follow-up survey. Although their MoCA scores did not improve significantly, they had increased their visuospatial ability significantly (with the average score increasing by 0.42). Adoption: the community officers, lecturers, and participants highly recommended the program, but they agreed that the lack of professional instructors may hinder its popularization. Implementation: the program was implemented in full accordance with the pre-program design. Maintenance: three months after the program, 17 participants had maintained at least one of the seven healthy behaviors that were introduced in the program.ConclusionsYounger female elderly were more willing to participate in the program. It enhanced participants' visuospatial ability, but a sufficient number of professional instructors are crucial for large-scale promotion.

Project description:Introduction: Veterans frequently seek chronic pain care from their primary care providers (PCPs) who may not be adequately trained to provide pain management. To address this issue the Veterans Health Administration (VHA) Office of Specialty Care adopted the Specialty Care Access Network Extension for Community Healthcare Outcomes (VA-ECHO née SCAN-ECHO). The VA-ECHO program offered training and mentoring by specialists to PCPs and their staff. VA-ECHO included virtual sessions where expertise was shared in two formats: (1) didactics on common pain conditions, relevant psychological disorders, and treatment options and (2) real-time consultation on patient cases. Materials and methods: VA-ECHO participants' perspectives were obtained using a semi-structured interview guide designed to elicit responses based on the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework. A convenience sampling was used to recruit PCPs and non-physician support staff participants. Non-physicians from rural VHA sites were purposively sampled to gain diverse perspectives. Findings: This qualitative study yielded data on each RE-AIM domain except reach. Program reach was not measured as it is outside the scope of this study. Respondents reported program effectiveness as gains in knowledge and skills to improve pain care delivery. Effective incorporation of learning into practice was reflected in respondents' perceptions of improvements in: patient engagement, evidenced-based approaches, appropriate referrals, and opioid use. Program adoption included how participating health care systems selected trainees from a range of sites and roles to achieve a wide reach of pain expertise. Participation was limited by time to attend and facilitated by institutional support. Differences and similarities were noted in implementation between hub sites. Maintenance was revealed when respondents noted the importance of the lasting relationships formed between fellow participants. Discussion: This study highlights VA-ECHO program attributes and unintended consequences. These findings are expected to inform future use of VA-ECHO as a means to establish a supportive consultation network between primary and specialty care providers to promote the delivery evidence-based pain management practices.

Project description:Background: The RE-AIM framework has been widely used in health research but it is unclear the extent to which this framework is also used for planning and evaluating health-related programs in clinical and community settings. Our objective was to evaluate how RE-AIM is used in the "real-world" and identify opportunities for improving use outside of research contexts. Methods: We used purposive and snowball sampling to identify clinical and community health programs that used RE-AIM for planning and/or evaluation. Recruitment methods included surveys with email follow-up to funders, implementers, and RE-AIM working group members. We identified 17 programs and conducted structured in-depth interviews with key informants (n = 18). Across RE-AIM dimensions, respondents described motivations, uses, and measures; rated understandability and usefulness; discussed benefits and challenges, strategies to overcome challenges, and resources used. We used descriptive statistics for quantitative ratings, and content analysis for qualitative data. Results: Program content areas included chronic disease management and prevention, healthy aging, mental health, or multiple, often behavioral health-related topics. During planning, most programs considered reach (n = 9), adoption (n = 11), and implementation (n = 12) while effectiveness (n = 7) and maintenance (n = 6) were considered less frequently. In contrast, most programs evaluated all RE-AIM dimensions, ranging from 13 programs assessing maintenance to 15 programs assessing implementation and effectiveness. On five-point scales, all RE-AIM dimensions were rated as easy to understand (Overall M = 4.7 ± 0.5), but obtaining data was rated as somewhat challenging (Overall M = 3.4 ± 0.9). Implementation was the most frequently used dimension to inform program design (M = 4.7 ± 0.6) relative to the other dimensions (3.0-3.9). All dimensions were considered similarly important for decision-making (average M = 4.1 ± 1.4), with the exception of maintenance (M = 3.4 ± 1.7). Qualitative corresponded to the quantitative findings in that RE-AIM was reported to be a practical, easy to understand, and well-established implementation science framework. Challenges included understanding differences among RE-AIM dimensions and data acquisition. Valuable resources included the RE-AIM website and collaborating with an expert. Discussion: RE-AIM is an efficient framework for planning and evaluation of clinical and community-based projects. It provides structure to systematically evaluate health program impact. Programs found planning for and assessing maintenance difficult, providing opportunities for further refinement.

Project description:Conducting 5 A's counseling in clinic and utilizing technology-based resources are recommended to promote physical activity but little is known about how to implement such an intervention. This investigation aimed to determine the feasibility and acceptability, using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework, of a pragmatic, primary care-based intervention that incorporated 5 A's counseling and self-control through an activity monitor.Primary care patients (n = 40) 55-74 years of age were recruited and randomized to receive a pedometer or an electronic activity monitor (EAM), Jawbone UP24, to monitor activity for 12 weeks. Participants were also invited to a focus group after completing the intervention. Stakeholders (n = 36) were recruited to provide feedback.The intervention recruitment rate was 24.7%. The attrition rate was 20% with a significantly higher rate for the pedometer group (p = 0.02). The EAM group increased their minutes of physical activity by 11.1 min/day while the pedometer maintained their activity (0.2 min/day), with no significant group difference. EAM participants liked using their monitor and would continue wearing it while the pedometer group was neutral to these statements (p < 0.05). Over the 12 weeks there were 490 comments and 1094 "likes" given to study peers in the corresponding application for the UP24 monitor. Some EAM participants enjoyed the social interaction feature while others were uncomfortable talking to strangers. Participants stated they would want counseling from a counselor and not their physician or a nurse. Other notable comments included incorporating multiple health behaviors, more in-person counseling with a counselor, and having a funding source for sustainability.Overall, the study was well-received but the results raise a number of considerations. Practitioners, counselors, and researchers should consider the following before implementing a similar intervention: 1) utilize PA counselors, 2) target multiple health behaviors, 3) form a social support group, 4) identify a funding source for sustainability, and 5) be mindful of concerns with technology.clinicaltrials.gov- NCT02554435 . Registered 24 August 2015.

Project description:BACKGROUND:Healthy Together (HT) is family-centered program to support healthy eating and physical activity designed for implementation in community organizations serving families who may be experiencing vulnerabilities (e.g., related to low income, isolation, ethnicity, immigrant/refugee status, and/or Indigenous background). The purpose of this study was to conduct an evaluation of HT in a real-world, scale-up phase using the RE-AIM framework. METHODS:Using a cross-sectional, non-comparative design, a community-based program evaluation was conducted in 29 organizations implementing HT as part of their core service programs. Data were collected using questionnaires with program participants and facilitators, and interviews with directors of participating organizations. Quantitative data were analyzed using descriptive statistics and qualitative data were content analyzed. RESULTS:With regards to Reach, over 3400 caregivers, children and youth attended community programming that offered HT. Among those attending on the scheduled day for the evaluation, 663 completed the questionnaires. The majority of caregiver respondents (n?=?431) were female (92%) and attended with children 0-6?years. Respondents also included children 4-6?years (n?=?142) and 7-12?years (n?=?65), and youth 13-18?years (n?=?25). Effectiveness was demonstrated in reported improvements in physical activity, healthy eating, and strengthened social connections. HT was also widely supported by participants and facilitators. Adoption was influenced by the desire to enrich core service programs for families, HT's fit within existing programs, organizational commitment, and funding support. Implementation experiences indicated that fidelity to the HT program was generally maintained, with some setting specific adaptations. Maintenance of HT was influenced by financial and non-financial resources within community organizations. Most organizations also introduced new initiatives to extend support for healthy eating and physical activity. CONCLUSION:Our findings indicate improvements in healthy eating and physical activity, and social connections among program participants, as well as efforts by community organizations to create environments to support healthy weights. HT was successfully delivered in "real-world" community settings across multiple contexts and with families with diverse backgrounds. This along with strategies to support program implementation and sustainability indicate that HT provides a model for other public health interventions to promote family health and wellbeing. TRIAL REGISTRATION:ClincialTrials.gov NCT03550248. Registered May 25, 2018.

Dataset Information

RE-AIM evaluation of the Veterans Health Administration's MOVE! Weight Management Program.

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Effectiveness

Implementation

Publications

RE-AIM evaluation of the Veterans Health Administration's MOVE! Weight Management Program.

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