IntroductionFew resources are available to train students to provide patients assistance for obtaining needed community-based services. This toolkit outlines a curriculum to train student volunteers to become “community resource navigators” to serve patients via telephone at partner health sites.MethodsUniversity students co-designed the Help Desk navigator program and training for volunteer navigators as part of an academic-community partnership with a local Federally Qualified Health Center (FQHC). The multi-modal curricula consisted of five components: didactic instruction on social determinants of health and program logistics, mock patient calls and documentation, observation of experienced navigator interaction with patients, supervised calls with real patients, and homework assignments. In 2020, training materials were adapted for virtual delivery due to the COVID-19 pandemic. Trainees completed a survey after completion to provide qualitative feedback on the training and preparedness.ResultsThe training was offered for the first cohort of 11 student volunteer navigators in 2019, revised and then offered for 13 undergraduate and nursing students over 6 weeks in 2020. In the training evaluation, trainees described the new knowledge and skills gained from the training, the long-term benefits toward their educational and professional career goals, and helpful interactive delivery of the training. Trainees also highlighted areas for improvement, including more time learning about community resources and practicing challenging patient conversations.ConclusionsOur peer-to-peer, multi-modal training prepares student volunteers to become community resource navigators. Student, eager for meaningful clinical experiences, are an untapped resource that can help patients with their social needs.
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
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.