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

• Published in: JMIR research protocols 2022-10, Vol.11 (10), p.e37316-e37316
• Main Authors: Lian, Tyler, Reid, Hadley, Rader, Abigail, Dewitt-Feldman, Sarah, Hezarkhani, Elmira, Gu, Elizabeth, Scott, Malik, Kutzer, Kate, Sandhu, Sahil, Crowder, Carolyn, Ito, Kristin, Eisenson, Howard, Bettger, Janet Prvu, Shaw, Ryan J, Lewinski, Allison A, Ming, David Y, Bosworth, Hayden B, Zullig, Leah L, Batch, Bryan C, Drake, Connor
• Format: Article
• Language: English
• Subjects: Automation; Case management; Community; Continuity of care; Intervention; Low income groups; Patients; Protocol; Technology Acceptance Model; Text messaging
• ISSN: 1929-0748; 1929-0748
• DOI: 10.2196/37316

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