Addressing food insecurity and chronic conditions in community health centres: protocol of a quasi-experimental evaluation of Recipe4Health.

INTRODUCTION: Chronic conditions, such as diabetes, obesity, heart disease and depression, are highly prevalent and frequently co-occur with food insecurity in communities served by community health centres in the USA. Community health centres are increasingly implementing 'Food as Medicine' programmes to address the dual challenge of chronic conditions and food insecurity, yet they have been infrequently evaluated. METHODS AND ANALYSIS: The goal of this quasi-experimental study was to evaluate the effectiveness of Recipe4Health, a 'Food as Medicine' programme. Recipe4Health includes two components: (1) a 'Food Farmacy' that includes 16 weekly deliveries of produce and (2) a 'Behavioural Pharmacy' which is a group medical visit. We will use mixed models to compare pre/post changes among participants who receive the Food Farmacy alone (n=250) and those who receive the Food Farmacy and Behavioural Pharmacy (n=140). The primary outcome, fruit and vegetable consumption, and secondary outcomes (eg, food security status, physical activity, depressive symptoms) will be collected via survey. We will also use electronic health record (EHR) data on laboratory values, prescriptions and healthcare usage. Propensity score matching will be used to compare Recipe4Health participants to a control group of patients in clinics where Recipe4Health has not been implemented for EHR-derived outcomes. Data from surveys, EHR, group visit attendance and produce delivery is linked with a common identifier (medical record number) and then deidentified for analysis with use of an assigned unique study ID. This study will provide important preliminary evidence on the effectiveness of primary care-based strategies to address food insecurity and chronic conditions. ETHICS AND DISSEMINATION: This study was approved by the Stanford University Institutional Review Board (reference protocol ID 57239). Appropriate study result dissemination will be determined in partnership with the Community Advisory Board.

Group Medical Visits 2.0: The Open Source Wellness Behavioral Pharmacy Model.

Objectives: The Open Source Wellness (OSW) model was designed to function as a behavioral pharmacy; an affordable, accessible delivery system for a universal experiential prescription: MOVE (physical activity), NOURISH (healthy meals), CONNECT (social support), and BE (stress reduction). This study evaluates the OSW model in a billable group medical visit (GMV) format in a federally qualified health center (FQHC). Intervention: Patients with behaviorally mediated conditions, including cardiovascular disease, diabetes, and depression, as well as poor social determinants of health, such as food insecurity, were prescribed participation in the OSW program by their medical team. Groups met for 2 h each week for 16 weeks to complete 30 min of socially engaging physical activity, 5 min of mindfulness meditation, a 10-min interactive, didactic health lesson, a 5-min nutrition lesson, and 60 min of small-group coaching over a plant-based meal. Paraprofessional health coaches worked with participants in small groups to provide support and create accountability to goals. In addition, participants received a $10 voucher to Food Farmacy, which provided free produce. Subjects: The sample consisted of 49 patients from the Hayward Wellness Center, an FQHC in Hayward, California. They were mostly women, 59.6%, and racially and ethnically diverse: 23.1% African American, 5.8% Asian, 26.9% Hispanic/Latino, 11.5% Pacific Islander, and 32.7% Caucasian. Participants averaged 59.1 years of age (SD = 10.6). Outcome measures: Blood pressure and weight were recorded weekly. Demographic and acute care utilization data were drawn from the electronic medical record. Self-report questionnaires assessed diet, exercise, and mood on a monthly basis. Methods and results: Longitudinal data were analyzed with linear mixed models. Participants (n = 49) demonstrated significant increases in daily servings of fruits and vegetables, b = 0.31, p < 0.01, and exercise, b = 11.50, p < 0.01, as well as significant reductions in body mass index, b = -0.10, p = 0.05. Acute care utilization decrease was not statistically significant, b = -0.07, p = 0.14. Depressed patients (n = 11) saw reductions in depression, b = -1.72, p < 0.01, and hypertensive patients (n = 24) saw reductions in systolic blood pressure, b = -4.04, p < 0.01, but not diastolic blood pressure, b = 0.04, p = 0.95. Conclusions: This study demonstrates the effectiveness of the OSW behavioral pharmacy model within a GMV context; pathways for adaptation, spread/scale, and incorporation of this work as a component of the broader health ecosystem and national commitment to health equity are discussed.

Naloxone Distribution and Training for Patients with High-Risk Opioid Use in a Veterans Affairs Community-Based Primary Care Clinic.

CONTEXT: Naloxone distribution has historically been implemented in a community-based, expanded public health model; however, there is now a need to further explore primary care clinic-based naloxone delivery to effectively address the nationwide opioid epidemic. OBJECTIVE: To create a general medicine infrastructure to identify patients with high-risk opioid use and provide 25% of this population with naloxone autoinjector prescription and training within a 6-month period. DESIGN: The quality improvement study was conducted at an outpatient clinic serving 1238 marginally housed veterans with high rates of comorbid substance use and mental health disorders. Patients at high risk of opioid-related adverse events were identified using the Stratification Tool for Opioid Risk Management and were contacted to participate in a one-on-one, 15-minute, hands-on naloxone training led by nursing staff. MAIN OUTCOME MEASURES: The number of patients identified at high risk and rates of naloxone training/distribution. RESULTS: There were 67 patients identified as having high-risk opioid use. None of these patients had been prescribed naloxone at baseline. At the end of the intervention, 61 patients (91%) had been trained in the use of naloxone. Naloxone was primarily distributed by licensed vocational nurses (42/61, 69%). CONCLUSION: This study demonstrates the feasibility of high-risk patient identification and of a primary care-based and nursing-championed naloxone distribution model. This delivery model has the potential to provide access to naloxone to a population of patients with opioid use who may not be engaged in mental health or specialty care.