Informing implementation and dissemination of a specialized primary care medical home for patients with serious mental illness: Clinician and administrator perspectives.

People with serious mental illness (SMI) have lower rates of use of preventative medical services and higher rates of mortality compared to the general population. Research shows that specialized primary care medical homes improve the health care of patients with SMI and are feasible to implement, safe, and more effective than usual care. However, specialized medical homes remain uncommon and model dissemination limited. As part of a controlled trial assessing an SMI-specialized medical home, we examined clinician and administrator perspectives regarding specialized versus mainstream primary care and identified ways to enhance the scale-up of a specialized primary care model for future dissemination. We conducted semistructured interviews with clinicians and administrators at three sites prior to the implementation of an SMI-specialized primary care medical home (n = 26) and at 1-year follow-up (n = 24); one site implemented the intervention, and two sites served as controls. Interviews captured service design features that affected the quality of care provided; contextual factors that supported or impeded medical home implementation; and knowledge, attitudes, and behaviors regarding the care of patients with SMI. Interviews were transcribed and coded. Clinicians and administrators described SMI-specialized primary care medical homes as advancing care coordination and outcomes for patients with SMI. Stakeholders identified elements of a specialized medical home that they viewed as superior to usual care, including having a holistic picture of patients' needs and greater care coordination. However, to enable scale-up, efforts are needed to increase staffing on care teams, develop robust clinician onboarding or training, and ensure close coordination with mental health care providers. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Patient experiences with a primary care medical home tailored for people with serious mental illness.

INTRODUCTION: People with serious mental illness (SMI) have low rates of primary care (PC) use and die years prematurely, mostly because of medical illnesses such as cardiovascular disease or cancer. To meet the needs of these individuals, a novel, specialized patient-centered medical home with care coordination ("SMI PACT") was developed and implemented in PC. This study qualitatively examined patients' experiences with this innovative care model. METHOD: After implementation of the medical home in 2018, one-on-one semistructured interviews were conducted with 28 patients (32% women, 43% Black, and 25% Hispanic). Interviews were professionally transcribed and coded prior to thematic analysis. RESULTS: Patients overwhelmingly described positive experiences with SMI PACT because of the qualities of interpersonal communication displayed by SMI PACT staff (e.g., nonjudgment, good listening, patience), structural features of the SMI PACT collaborative care model (e.g., frequent follow-up communication), and other unique aspects of the SMI PACT model tailored for SMI, such as easy-to-understand language. For these reasons, most patients expressed a desire to continue care in SMI PACT. Patients also self-reported improved engagement with their healthcare and self-management of diet, exercise, blood pressure, and diabetes control as a result of SMI PACT participation. DISCUSSION: Patients enrolled in a specialized PC medical home identified clinician characteristics and behaviors that informed an overwhelmingly positive impression of the program model. Their experiences can guide dissemination of specialized PC models and integrated services for people with SMI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Predictors of Functioning and Recovery Among Men and Women Veterans with Schizophrenia.

Gender differences may play a role in functional outcomes for individuals with schizophrenia. To better understand differences, an exploratory secondary analysis was conducted using data from a large, multi-site study of individuals with schizophrenia in treatment at Veterans Affairs medical centers. Participants completed surveys at baseline (n = 801; 734 men, 67 women) to assess demographics, symptoms, social supports, and recovery; and one year (n = 662; 604 men, 58 women) to assess quality of life and functioning. Hierarchical linear regressions examined interactions of baseline factors with functioning and quality of life. Women and men did not differ significantly in baseline social support, psychiatric symptoms, or recovery. Female gender predicted higher occupational functioning, while social functioning in men was inversely related to baseline symptom severity. Being married predicted higher quality of life for women, but not men. These findings may inform gender tailoring of services for schizophrenia.

The Effectiveness of a Specialized Primary Care Medical Home for Patients with Serious Mental Illness.

BACKGROUND: There are unmet primary care needs among people with serious mental illness that might be improved with integrated care and medical care management. Many healthcare organizations have attempted to address this problem, but few interventions have been rigorously studied and found to be effective. OBJECTIVE: Study the implementation and effectiveness of a novel, specialized primary care medical home designed to improve the healthcare of patients with serious mental illness. DESIGN, SETTING, AND PARTICIPANTS: Clustered controlled trial for a median of 401 days. One Veterans Health Administration medical center was assigned to intervention and two were assigned to usual care (control). Thirty-nine clinicians and managers were included in the study, as well as 331 patients who met eligibility criteria. INTERVENTION: A specialized medical home with systematic patient engagement, proactive nurse panel management, a collaborative care psychiatrist, and a primary care physician providing care that included psychiatric treatment. MAIN MEASURES: Quality of care, chronic illness care and care experience, symptoms, and quality of life. KEY RESULTS: Sixty-five intervention patients (40%) moved all psychiatric care to the primary care team. No adverse events were attributable to the intervention. Compared with control, intervention patients had greater improvement over time in appropriate screening for body mass index, lipids, and glucose (χ2 = 6.9, 14.3, and 3.9; P's < .05); greater improvement in all domains of chronic illness care (activation, decision support, goal-setting, counseling, coordination) and care experience (doctor-patient interaction, shared decision-making, care coordination, access; F for each 10-24, P's < .05); and greater improvement in mental health-related quality of life (F = 3.9, P = .05) and psychotic symptoms (F = 3.9, P = .05). CONCLUSION: A primary care medical home for serious mental illness can be feasible to implement, safe, and more effective than usual care. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01668355.

A survey of personnel and services offered in 32 outpatient US clozapine clinics.

BACKGROUND: Clozapine clinics can facilitate greater access to clozapine, but there is a paucity of data on their structure in the US. METHODS: A 23-item survey was administered to participants recruited from the SMI Adviser Clozapine Center of Excellence listserv to understand characteristics of clozapine clinics. RESULTS: Clozapine clinics (N = 32) had a median caseload of 45 (IQR = 21-88) patients and utilized a median of 5 (IQR = 4-6) interdisciplinary roles. The most common roles included psychiatrists (100%), pharmacists (65.6%), nurses (65.6%), psychiatric nurse practitioners (53.1%), and case managers (53.1%). The majority of clinics outreached to patients who were overdue for labs (78.1%) and had access to on-site phlebotomy (62.5%). Less than half had on call services (46.9%). CONCLUSIONS: In this first systematic description of clozapine clinics in the US, there was variation in the size, staffing, and services offered. These findings may serve as a window into configurations of clozapine teams.

How Shared Is Shared Decision Making? Reaching the Full Potential of Patient-Clinician Collaboration in Mental Health.

ABSTRACT: Shared decision making in mental health is a priority for stakeholders, but faces significant implementation barriers, particularly in settings intended to serve people with serious mental illnesses (SMI). As a result, current levels of shared decision making are low. We highlight these barriers and propose that a novel paradigm, collaborative decision making, will offer conceptual and practical solutions at the systemic and patient/clinician level. Collaborative decision making is tailored for populations like people with SMI and other groups who experience chronic and complex symptoms, along with power imbalances within health systems. Advancing from shared decision making to collaborative decision making clarifies the mission of the model: to facilitate an empowering and recovery-oriented decision-making process that assigns equal power and responsibility to patients and clinicians; to improve alignment of treatment decisions with patient values and priorities; to increase patient trust and confidence in clinicians and the treatment process; and, in the end, to improve treatment engagement, satisfaction, and outcomes. The primary purpose of collaborative decision making is to increase values-aligned care, therefore prioritizing inclusion of patient values, including cultural values and quality of life-related outcomes. Given the broad and constantly changing context of treatment and care for many people with SMI (and also other groups), this model is dynamic and continuously evolving, ready for use across diverse contexts. Implementation of collaborative decision making includes increasing patient knowledge but also patient power, comfort, and confidence. It is one tool to reshape patient-clinician and patient-system relationships and to increase access to value-aligned care for people with SMI and other groups.

Supporting the Mental Health Workforce During and After COVID-19.

The COVID-19 pandemic has catalyzed structural changes in the public mental health sector, including a shift to telehealth and telesupervision, financial strain for community mental health organizations and clinicians, and risk of burnout among clinicians and staff. This Open Forum considers how technical assistance organizations have supported community mental health providers in adapting to these changes. Moving forward, knowledge gained through this work can help to build the body of practice-based evidence to inform future technical assistance activities in a postpandemic world.

Skills-based intervention to enhance collaborative decision-making: systematic adaptation and open trial protocol for veterans with psychosis.

BACKGROUND: Collaborative decision-making is an innovative decision-making approach that assigns equal power and responsibility to patients and providers. Most veterans with serious mental illnesses like schizophrenia want a greater role in treatment decisions, but there are no interventions targeted for this population. A skills-based intervention is promising because it is well-aligned with the recovery model, uses similar mechanisms as other evidence-based interventions in this population, and generalizes across decisional contexts while empowering veterans to decide when to initiate collaborative decision-making. Collaborative Decision Skills Training (CDST) was developed in a civilian serious mental illness sample and may fill this gap but needs to undergo a systematic adaptation process to ensure fit for veterans. METHODS: In aim 1, the IM Adapt systematic process will be used to adapt CDST for veterans with serious mental illness. Veterans and Veteran's Affairs (VA) staff will join an Adaptation Resource Team and complete qualitative interviews to identify how elements of CDST or service delivery may need to be adapted to optimize its effectiveness or viability for veterans and the VA context. During aim 2, an open trial will be conducted with veterans in a VA Psychosocial Rehabilitation and Recovery Center (PRRC) to assess additional adaptations, feasibility, and initial evidence of effectiveness. DISCUSSION: This study will be the first to evaluate a collaborative decision-making intervention among veterans with serious mental illness. It will also contribute to the field's understanding of perceptions of collaborative decision-making among veterans with serious mental illness and VA clinicians, and result in a service delivery manual that may be used to understand adaptation needs generally in VA PRRCs. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04324944.

Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia.

OBJECTIVE: Innovative approaches are needed for assessing treatment preferences of individuals with schizophrenia. Conjoint analysis methods may help to identify preferences, but the usability and validity of these methods for individuals with schizophrenia remain unclear. This study examined computerized conjoint analysis for persons with schizophrenia and whether preferences for weight management programs predict service use. METHODS: A computerized, patient-facing conjoint analysis system was developed through iterative consultation with 35 individuals with schizophrenia enrolled at a community mental health clinic. An additional 35 overweight participants with schizophrenia then used the system to choose among psychosocial weight management programs varying in four attributes: location (community or clinic), delivery mode (Internet or in person), leader (clinician or layperson), and training mode (individual or group). A multilevel logit model with partial preference data determined contributions of each attribute to groupwide preferences. Associations were studied between preferences and use of a psychosocial weight management group. RESULTS: Conjoint analysis system usability was rated highly. Groupwide preferences were significantly influenced by location (p<0.001; clinic was preferred), leader (p=0.02; clinician was preferred), and training mode (p<0.001; group was preferred) but not delivery mode (p=0.68). Preferences did not correlate with age, gender, body mass index, illness severity, or subsequent program use. Participants described barriers to program attendance, including transportation, scheduling, privacy, psychiatric illness, and lack of motivation. CONCLUSIONS: Computerized conjoint analysis can produce valid assessments of treatment preferences of persons with schizophrenia and inform treatment development and implementation. Although preferences may affect treatment use, they are one of multiple factors.

Contextualizing the road to recovery: A novel method of assessing outcome trajectories in clinical trials.

In clinical trials, standardized assessment conducted by research staff facilitates identification of treatment benefit. Narrative notes completed by clinicians offer a novel source to characterize and contextualize outcomes. In this study, we examine qualitative analysis of clinical notes as a method to augment quantitative outcome measures and supply meaningful context in clinical trials. Two hundred eighty-four clinical progress notes from 19 participants with schizophrenia or schizoaffective disorder assigned to receive either auditory-targeted cognitive training or treatment as usual were included. Qualitative analysis of weekly progress notes written by clinicians involved in ongoing care of the participants was used to identify overall outcome trajectories and specific changes in program participation, social functioning, and symptom severity. Trajectories were compared with the parent study's 2 primary outcome measures. Qualitative analysis identified personalized and complex trajectories for individual participants. Approximately half the participants improved overall. Most participants displayed improved program participation and social functioning, whereas most participants experienced symptom deterioration. Engagement in targeted cognitive training did not impact change in trajectories. Qualitative trajectories were congruent (e.g., both indicated improvement) with the 2 primary outcome measures for 26-36% of the participants depending on the comparison. Including qualitative analysis of clinician progress notes provides useful context and identifies underlying processes not captured in quantitative data. However, they cannot replace quantitative outcome measurement. Better alignment with clinician- and patient-targeted outcomes may strengthen clinical trials. Qualitative analysis of routinely collected data can benefit research and programmatic decision making in usual care settings. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

New Tools for Implementing Evidence-Based Care for Serious Mental Illness.

More than 11 million adults in the United States have a serious mental illness. Outcomes for these illnesses are good when appropriate treatments are received; however, rates of delivery and utilization of evidence-based care for this population are moderate to low. This article introduces SMI Adviser, a national initiative, supported by the Substance Abuse and Mental Health Services Administration, to advance the use of evidence-based practices and delivery of patient-centered care for the population with serious mental illness. SMI Adviser offers free technical assistance to clinicians caring for this population through accredited educational opportunities, vetted resources, and on-demand consultations.

Increasing Access to Medications for Opioid Use Disorder and Complementary and Integrative Health Services in Primary Care.

OBJECTIVES: Evidence-based therapies for opioid use disorder (OUD) and chronic pain, such as medications for OUD (MOUD) and complementary and integrative health (CIH; e.g., acupuncture and meditation) therapies, exist. However, their adoption has been slow, particularly in primary care, due to numerous implementation challenges. We sought to expand the use of MOUD and CIH within primary care by using an evidence-based quality improvement (EBQI) implementation strategy. METHODS: We used EBQI to engage two facilities in the Veterans Health Administration (VHA) from June 2018 to September 2019. EBQI included multilevel stakeholder engagement, with external facilitators providing technical support, practice facilitation, and routine data feedback. We established a quality improvement (QI) team at each facility with diverse stakeholders (e.g., primary care, addiction, pain, nursing, pharmacy). We met monthly with regional stakeholders to address implementation barriers. We also convened an advisory board to ensure alignment with national priorities. RESULTS: Pre-implementation interviews indicated facility-level and provider-level barriers to prescribing buprenorphine, including strong primary care provider resistance. Both facilities developed action plans. They both conducted educational meetings (e.g., Grand Rounds, MOUD waiver trainings). Facility A also offered clinical preceptorships for newly trained primary care prescribers. Facility B used mass media and mailings to educate patients about MOUD and CIH options and dashboards to identify potential candidates for MOUD. After 15 months, both facilities increased their OUD treatment rates to the ≥ 90th percentile of VHA medical centers nationally. Exit interviews indicated an attitudinal shift in MOUD delivery in primary care. Stakeholders valued the EBQI process, particularly cross-site collaboration. IMPLICATIONS: Despite initial implementation barriers, we effectively engaged stakeholders using EBQI strategies. Local QI teams used an assortment of QI interventions and developed tools to catapult their facilities to among the highest performers in VHA OUD treatment. IMPACTS: EBQI is an effective strategy to partner with stakeholders to implement MOUD and CIH therapies.

Effects of aerobic exercise on cardiorespiratory fitness and social functioning in veterans 40 to 65 years old with schizophrenia.

The usual physical activity level of people with chronic histories of schizophrenia is very low. In this pilot study, we examined the effects of an easy to implement aerobic exercise (AE) program on cardiorespiratory fitness and social functioning in 54 Veterans aged 40-65 years old with schizophrenia. Participants were randomized 2:1 to AE (36 forty-minute sessions conducted 3 times per week over 12 weeks) versus a non-aerobic stretching exercise condition conducted under the same regimen and timeframe. Cardiorespiratory fitness improved significantly within the AE group (p<.0001), and differed significantly from the comparison group (p<.02; Cohen's d=.41). Trend-level improvements were seen in social functioning within the AE group (p<.09) and showed a similar trend level difference in the between-group comparison (p<.06; Cohen's d=.35). Improvements in social functioning were significantly related to gains in cardiorespiratory fitness (r=.42; p<.01). AE effects on other physical and mental health indices were also examined. Overall, the AE intervention was well-tolerated, safe, and showed low rates of attrition after the commencement of training. Our findings indicate it is feasible to improve cardiorespiratory fitness in this clinical population, and there is suggestive evidence that the interventions aimed to do so may also benefit social functioning.

Mobile Phone and Smartphone Use by People With Serious Mental Illness.

OBJECTIVE: Mobile technologies, such as smartphones, can improve health services by delivering assessments and interventions that reach people in their daily lives. There is, however, disagreement regarding whether people with serious mental illness make meaningful use of mobile technology and whether interventions that rely on mobile technology should be tailored for this population. METHODS: At two clinics, 249 people with serious mental illness were interviewed regarding mobile phone use, and their cognitive functioning was assessed. RESULTS: Mobile phones were used by 86% of participants, including 60% who used a smartphone. Phones were used for messaging by 81%, Internet by 52%, e-mail by 46%, and applications by 45%. Individuals who were older, had a persistent psychotic disorder rather than bipolar disorder, received disability income, or had worse neurocognitive functioning were less likely to own a smartphone (χ2=52.7, p<0.001). CONCLUSIONS: Most patients with serious mental illness owned a mobile phone; a majority owned a smartphone. Developers should consider tailoring mobile interventions for psychosis and cognitive deficits.

Quality of life outcomes of web-based and in-person weight management for adults with serious mental illness.

Adults with serious mental illness have high rates of obesity, with associated negative impacts on health-related quality of life. The present study utilized data from a randomized controlled trial (N = 276) to examine the effectiveness of in-person and online-delivered weight management interventions, compared to usual care, for improving health-related quality of life in this population. Participants completed quality of life assessments at baseline, 3 months, and 6 months. Mixed effects models examined group by time interactions. Compared to usual care, in-person MOVE was associated with improvements in loneliness (t = - 2.76, p = .006) and mental health related quality of life (t = 1.99, p = 0.048) at 6 months, and webMOVE was associated with improvements in weight-related self-esteem at 6 months (t = 2.23, p = .026) and mental health-related quality of life at 3 months (t = 2.17, p = 0.031) and 6 months (t = 2.38, p = .018). Web-based and in-person weight management led to improvements in health-related quality of life for adults with serious mental illness.ClinicalTrials.gov Identifier: NCT00983476.

Barriers to participation in web-based and in-person weight management interventions for serious mental illness.

OBJECTIVE: This study examines barriers to participation and retention in 2 modalities (web-based and in-person) of a weight-management intervention tailored for individuals with serious mental illness (SMI). METHOD: Using a mixed-methods approach, we explored the barriers veterans with SMI face when participating in a web-based (WebMOVE) or in-person (MOVE-SMI) version of the same SMI-adapted MOVE weight-management program. Participants in the randomized controlled trial (n = 277) were recruited from specialty mental health clinics at a Veterans Affairs medical center. Barriers were analyzed across treatment condition and program attendance (engagement) at baseline and follow-up using a generalized lineal model. Post hoc analyses assessed whether changes in the trajectory of barriers over time were associated with engagement. A subsample of participants (n = 48) from the WebMOVE and MOVE-SMI treatment conditions completed a qualitative interview, and 2 coders used open coding to analyze the data. RESULTS: Although barriers specific to treatment modality existed, most barriers cut across intervention modality, including financial hardship, lack of reliable housing and transportation, comorbid physical and mental health issues, and competing demands on personal time. Results of post hoc analyses found the association between engagement and emotional and motivational factors to be statistically significant. CONCLUSIONS: This study is the 1st to identify barriers in a web-based intervention for SMI. Similar barriers persisted across treatment modalities. Known barriers, particularly socioeconomic barriers, should be addressed to improve engagement and retention of individuals in weight-management interventions adapted for SMI, irrespective of modality. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Effective Models Urgently Needed to Improve Physical Care for People With Serious Mental Illnesses.

People with serious mental illness have substantially worse health outcomes than people without mental illness. These patients use primary care less often and fail to receive needed preventive and chronic care. While a variety of care models have been implemented with the goal of improving care for these patients, few have been found to be effective. Young et al describes a specialty patient-centered medical home for patients with serious mental illness. In this model, the primary care provider manages the medical and mental health conditions of patients with stable psychiatric symptoms with assistance from a registered nurse and a consulting psychiatrist. The goal of this integrated model is to engage patients in preventive care by building a relationship with them in primary care and understanding both their medical and psychiatric needs. While this model may improve care and increase patient satisfaction, implementing this type of model may be challenging.

Preferences for family involvement among veterans in treatment for schizophrenia.

OBJECTIVE: Examine preferences for family involvement in psychiatric care in a large, representative sample of veterans in treatment for schizophrenia. METHOD: Veterans with schizophrenia or schizoaffective disorder (N = 801) completed an assessment that included questions about demographic and clinical characteristics, status of family support, and preference for family involvement in their psychiatric care. Open-ended items were independently coded by two raters and categorized; Cohen's kappa was calculated for each category. RESULTS: Among the 801 participants, 496 (61.9%) indicated that they had a family member who provided them with regular support; 304 (37.9%) had no family member who provided support; and 1 did not respond. Among the 304 without support, 272 (89.4%) had a living family member. Of the 496 participants who had a supportive family member, 135 (27.2%) wanted their family member involved in their care. Of the 272 participants who did not have a supportive family member, but had living family, 57 (21.0%) wanted their family involved. Barriers to involvement included concerns about privacy and burden. Preferred method of involvement included contact with the patient's psychiatrist and education about the illness. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Preferences indicated by this large representative sample of individuals in care for schizophrenia indicate that a majority have supportive family and a substantial minority want family involved in their psychiatric care. Clinicians can address concerns about privacy and burden and deliver preferred services by phone or mail, overcoming anticipated barriers. Desire for family support groups was limited but present. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Divergence of subjective and performance-based cognitive gains following cognitive training in schizophrenia.

BACKGROUND: Cognitive training is effective for improving cognitive performance among people with schizophrenia. An individual's perception of their own cognition is dissociable from performance on objective cognitive tests. Since subjective cognitive benefit may impact engagement, motivation, and satisfaction with time-intensive cognitive interventions, this study aimed to determine whether subjective cognitive difficulties improve in conjunction with cognitive gains following 30 h of cognitive training. METHODS: Patients with schizophrenia or schizoaffective disorder (N = 46) were randomized to treatment as usual (TAU) or TAU augmented with auditory-targeted cognitive training (TCT). All participants completed assessment batteries at baseline and follow-up. As previously reported, the TCT group showed significant improvements in verbal learning and memory and reductions in auditory hallucinations relative to the TAU group. RESULTS: Subjective cognitive difficulties did not significantly improve following TCT, even among TCT participants who showed improvements in cognitive performance (all ps > 0.05). Subjective cognitive difficulties were significantly associated with severity of depressive symptoms and hallucinations (r = 0.48 and r = 0.28, p < 0.001), but not global or specific domains of cognition (all rs < 0.1) at baseline. There were no significant relationships between change in subjective cognitive difficulties and change in cognitive or clinical variables (all ps > 0.05). DISCUSSION: Patients with schizophrenia do not detect change in their cognition following cognitive training, even among those who showed robust gains in cognitive performance. Failure to detect improvement may undermine treatment engagement, motivation, and satisfaction. Translating score improvements on the cognitive exercises into tangible metrics, and providing ongoing, clinician-delivered feedback on performance may facilitate patient ability to detect improvements and improve motivation to engage with cognitive training interventions.

Implementing Patient-Reported Outcomes to Improve the Quality of Care for Weight of Patients with Schizophrenia.

"Enhancing QUality of Care In Psychosis" (EQUIP) was an eight-site clustered controlled trial of the implementation and effectiveness of patient-reported outcomes to support evidence-based practice and improve care for schizophrenia. Implementation sites chose to improve care for weight. Implementation included monitoring patient-reported outcomes using kiosks, patient and staff education, quality improvement teams, and phone care management. Qualitative and quantitative methods compared implementation and effectiveness between sites for 13 months. Eighty percent of 801 randomly selected patients were overweight. Two hundred one clinicians varied in competency. Baseline use of behavioral weight services was low. At implementation sites, patients became 2.3 times more likely to use weight services compared with control sites (95% CI, 1.5-3.6; χ2 = 14.4; p < 0.01). There was no effect on the weight gain liability of medications prescribed. Controlling for baseline, patients' final weight at control sites was 5.9 ± 2.7 kg heavier than at implementation sites (F = 4.8, p = 0.03). Patient-reported outcomes can inform implementation of evidence-based practice and improvement in outcomes.