A Tailored SMS Text Message-Based Intervention to Facilitate Patient Access to Referred Community-Based Social Needs Resources: Protocol for a Pilot Feasibility and Acceptability Study.

BACKGROUND: Health care providers are increasingly screening patients for unmet social needs (eg, food, housing, transportation, and social isolation) and referring patients to relevant community-based resources and social services. Patients' connection to referred services is often low, however, suggesting the need for additional support to facilitate engagement with resources. SMS text messaging presents an opportunity to address barriers related to contacting resources in an accessible, scalable, and low-cost manner. OBJECTIVE: In this multi-methods pilot study, we aim to develop an automated SMS text message-based intervention to promote patient connection to referred social needs resources within 2 weeks of the initial referral and to evaluate its feasibility and patient acceptability. This protocol describes the intervention, conceptual underpinnings, study design, and evaluation plan to provide a detailed illustration of how SMS technology can complement current social needs screening and referral practice patterns without disrupting care. METHODS: For this pilot prospective cohort study, this SMS text message-based intervention augments an existing social needs screening, referral, and navigation program at a federally qualified health center. Patients who received at least one referral for any identified unmet social need are sent 2 rounds of SMS messages over 2 weeks. The first round consists of 5-10 messages that deliver descriptions of and contact information for the referred resources. The second round consists of 2 messages that offer a brief reminder to contact the resources. Participants will evaluate the intervention via a survey and a semistructured interview, informed by an adapted technology acceptance model. Rapid qualitative and thematic analysis will be used to extract themes from the responses. Primary outcomes are implementation feasibility and patient acceptability. Secondary outcomes relate to intervention effectiveness: self-reported attempt to connect and successful connection to referred resources 2 weeks after the initial referral encounter. RESULTS: The study received regulatory approval in May 2021, and we anticipate enrolling 15-20 participants for this initial pilot. CONCLUSIONS: This protocol presents detailed implementation methods about a novel automated SMS intervention for social care integration within primary care. By sharing the study protocol early, we intend to facilitate the development and adoption of similar tools across different clinical settings, as more health care providers seek to address the unmet social needs of patients. Study findings will provide practical insights into the design and implementation of SMS text message-based interventions to improve social and medical care coordination. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37316.

A Community Resource Navigator Model: Utilizing Student Volunteers to Integrate Health and Social Care in a Community Health Center Setting.

INTRODUCTION: While unmet social needs are major drivers of health outcomes, most health systems are not fully integrated with the social care sector to address them. In this case study, we describe the development and implementation of a model utilizing student volunteer community resource navigators to help patients connect with community-based organizations (CBOs). We then detail initial implementation outcomes and practical considerations for future work. METHODS: We used the Ten Essential Public Health Services Framework to guide program planning of a student "Help Desk" model for a community health center. Planning included a literature review, observation of exemplar programs, development of a CBO directory, and evaluation of the center's patient population, clinical workflows, and data infrastructure. We piloted the model for two months. After pilot completion, we reviewed patient data to understand the feasibility of the student "Help Desk" model. We utilized planning and pilot execution materials, as well as pilot data, to develop and discuss practical considerations. RESULTS: Design and implementation complemented ongoing social needs screening and referral to CBOs by center case managers. Patients were asked if they would accept telephone follow-up by volunteers two and four weeks after the clinic visit. Of 61 patients screened, 29 patients were referred for follow-up. Ninety percent were reached at least once during the follow-up period, and 48% of patients referred reported connecting to at least one CBO. Only 27% of patients required escalation back to case managers, and no emergency escalation was needed for any patients. Students, faculty advisors, and community health center frontline staff and leadership supported the scale up and continuation of the "Help Desk" model at the community health center. DISCUSSION: Successful implementation required multi-sectoral collaboration, well-defined scope of practice, and data interoperability. Student volunteers are untapped resources to support integrated health and social care.

Addressing the Social Determinants of Health During the COVID-19 Pandemic: Ensuring Equity, Quality, and Sustainability.

The COVID-19 pandemic has highlighted the importance of social determinants of health in affecting health outcomes. Populations with high social risk are disproportionately impacted by the virus and its economic consequences. Primary care practices have a unique opportunity to implement interventions to mitigate their patients' unmet social needs, such as food and income insecurity. In this commentary, we outline key considerations for clinics implementing programs that identify and address patients' social needs in a way that promotes equity, quality, and sustainability. We provide examples from our own experience at a federally qualified health center.