Food Access Support Technology (FAST): a Centralized City-Wide Platform for Rapid Response to Food Insecurity.

BACKGROUND: Food access for patients remains a critical need for health systems to address given varying resource availability and inefficient coordination among health and food services. AIM: Develop and evaluate the Food Access Support Technology (FAST), a centralized digital platform for food access that pairs health systems with food and delivery community-based organizations (CBOs). SETTING AND PARTICIPANTS: Two health systems, 12 food partners, and 2 delivery partners in Philadelphia, PA. PROGRAM DESCRIPTION: Using FAST, referrers can post requests for food delivery on recipients' behalf, which are reviewed and claimed by eligible CBOs that can prepare food boxes for delivery to people's homes. PROGRAM EVALUATION: Between March 2021 and July 2022, FAST received 364 requests, representing 207 food insecure households in 51 postal codes. The platform facilitated the completion of 258 (70.9%) requests, with a median completion time of 5 (IQR 0-7) days and a median of only 1.5 days (IQR 0-5) for requests marked "urgent." Qualitative interviews with FAST end-users endorsed the usability of the FAST platform and its effectiveness in facilitating resource-sharing between partners. DISCUSSION: Our findings suggest that centralized platforms can address household food insecurity by (1) streamlining partnerships between health systems and CBOs for food delivery and (2) facilitating the real-time coordination of resources among CBOs.

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.

Intervention components of link worker social prescribing programmes: A scoping review.

In the United Kingdom (UK), link worker social prescribing has emerged as an option to improve long-term condition management and address primary care patients' non-medical needs by linking patients with community-based activities and support. Social prescribing is a complex, heterogenous intervention, and there is currently no taxonomy of components to guide its implementation and evaluation. This study aimed to identify and categorise the components of link worker social prescribing schemes in the United Kingdom. A scoping review of peer-reviewed literature was conducted. Six databases were used to identify papers that met inclusion criteria. Eligible articles were original research studies in the United Kingdom describing interventions that included (1) initial referral of adults with chronic physical health conditions and/or unmet social needs from primary care to a link worker or equivalent role, (2) consultation with a link worker or equivalent role and (3) referral to a community-based or government service. Of the 1078 articles identified, 32 met study eligibility criteria, representing 22 social prescribing schemes. We drew from the template for intervention description and replication (TIDieR) to identify, organise and report intervention components. We found wide variations in geography, target populations and intervention components such as activities and procedures conducted by primary care staff and link workers, organisational and staffing configurations and use of tools and financing approaches to facilitate adoption. Intervention components are summarised into a taxonomy to guide future research, policy and practice efforts in addition to supporting standardised intervention reporting.

Patient Barriers to Accessing Referred Resources for Unmet Social Needs.

INTRODUCTION: Many primary care clinics screen patients for their unmet social needs, such as food insecurity and housing instability, and refer them to community-based organizations (CBOs). However, the ability for patients to have their needs met is difficult to evaluate and address. This study explores patient-reported barriers to accessing referred resources using a conceptual framework that identifies opportunities for intervening to optimize success. METHODS: Patients who participated in a social needs screening and referral intervention at a Federally Qualified Health Center (FQHC) were called 2 weeks after the clinic encounter. We conducted a directed content analysis across 6 domains of access to examine responses from patients who reported barriers. RESULTS: Of the 462 patients that were reached for follow-up, 366 patients reported 537 total barriers. The most frequent challenges related to resource availability (24.6%, eg, patients waiting for submitted application to process) and approachability (23.8%, eg, patients lacking information needed to contact or access resources). Barriers in the domains of acceptability (21.6%, eg, competing life priorities such as medical issues, major life events, or caretaking responsibilities) and appropriateness (17.9%, eg, resource no longer needed) largely represented patient constraints expressed only after the clinical encounter. It was less common for patients to identify accommodation (eg, physical limitations, language barriers, transportation barriers, administrative complexity) or affordability of community resources as barriers (11.2% and 0.9%, respectively). CONCLUSION: Findings suggest opportunities for improvement across the access continuum, from initial referrals from primary care staff during the clinical encounter to patients' attempts to accessing services in the community. Future efforts should consider increased collaboration between health and social service organizations, and advocacy for structural changes that mitigate system-level barriers related to resource availability and administrative complexity.

Strategies to Advance Equity in Cancer Clinical Trials.

Cancer clinical trials are critical for testing new treatments, yet less than 5% of patients with cancer enroll in these trials. Minority groups, elderly individuals, and rural populations are particularly underrepresented in cancer treatment trials. Strategies for advancing equity in cancer clinical trials for these populations include (1) optimizing clinical trial matching by broadening eligibility criteria, screening all patients for trial eligibility, expanding the number of trials against which patients are screened, and following up on all patient matches with an enrollment invitation; (2) conducting site self-assessments to identify clinical-, patient-, provider-, and system-level barriers that contribute to low rates of clinical trial screening and enrollment; (3) creating a quality improvement plan that addresses the barriers to enrollment and incorporates the use of tools and strategies such as clinical trial checklists; workforce development and trainings to improve cultural competence and reduce unconscious bias; guides to promote community education, outreach and engagement with cancer clinical trials; screening and accrual logs designed to measure participation by demographics; models of informed consent that improve understanding; clinical trial designs that reduce accessibility barriers; use of cancer clinical trial patient navigators; and programs to eliminate barriers to participation and out-of-pocket expenses; and (4) working with stakeholders to develop both protocols that are inclusive of diverse populations' geographic locations, and strategies to access those trials. These actions will support greater access for populations that have remained underrepresented in cancer clinical trials and thereby increase the generalizability and efficiency of cancer research.

Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics.

Background:Our objective was to examine the variation in telemedicine adoption by specialty line and patient demographic characteristics after the initial peak period of the coronavirus disease 2019 pandemic when in-person visits had resumed and visit volume returned to prepandemic levels.Materials and Methods:Aggregated encounter data were extracted for six service lines (dermatology, psychiatry, endocrinology, cardiology, orthopedics, and nonurgent primary care) in an integrated health system across three time periods: July 1 to September 30, 2019 (n = 239,803), July 1 to September 30, 2020 (n = 245,648), and December 29, 2019 to October 3, 2020 (n = 624,886). Risk ratios were calculated to assess the relative use of telemedicine compared with in-person encounters and telemedicine modality (i.e., synchronous audio/video vs. audio-only telephone) by patient race, age, sex, and insurance type.Results:By June 2020, total visit volume returned to prepandemic levels. Differences in patient demographics between July 1 to September 30, 2020 and the previous year's baseline were negligible. Telemedicine adoption varied by medical specialty, from 3.2% (dermatology) to 98.3% (psychiatry) of visits. African American and male patients were less likely to use telemedicine (telephone or video) compared with white and female patients. Among telemedicine encounters, African American, publicly insured, and older patients were less likely to use video compared with white, commercially insured, and younger patients.Discussion:Variation in telemedicine adoption and modality underscores the importance of balancing patient- and clinic-level implementation factors to promote sustainable, equitable telemedicine integration.Conclusion:Understanding current trends in the "new normal" of telemedicine provides valuable insights into future implementation and financing.

Implementation of social needs screening in primary care: a qualitative study using the health equity implementation framework.

BACKGROUND: Screening in primary care for unmet individual social needs (e.g., housing instability, food insecurity, unemployment, social isolation) is critical to addressing their deleterious effects on patients' health outcomes. To our knowledge, this is the first study to apply an implementation science framework to identify implementation factors and best practices for social needs screening and response. METHODS: Guided by the Health Equity Implementation Framework (HEIF), we collected qualitative data from clinicians and patients to evaluate barriers and facilitators to implementing the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), a standardized social needs screening and response protocol, in a federally qualified health center. Eligible patients who received the PRAPARE as a standard of care were invited to participate in semi-structured interviews. We also obtained front-line clinician perspectives in a semi-structured focus group. HEIF domains informed a directed content analysis. RESULTS: Patients and clinicians (i.e., case managers) reported implementation barriers and facilitators across multiple domains (e.g., clinical encounters, patient and provider factors, inner context, outer context, and societal influence). Implementation barriers included structural and policy level determinants related to resource availability, discrimination, and administrative burden. Facilitators included evidence-based clinical techniques for shared decision making (e.g., motivational interviewing), team-based staffing models, and beliefs related to alignment of the PRAPARE with patient-centered care. We found high levels of patient acceptability and opportunities for adaptation to increase equitable adoption and reach. CONCLUSION: Our results provide practical insight into the implementation of the PRAPARE or similar social needs screening and response protocols in primary care at the individual encounter, organizational, community, and societal levels. Future research should focus on developing discrete implementation strategies to promote social needs screening and response, and associated multisector care coordination to improve health outcomes and equity for vulnerable and marginalized patient populations.

Evaluating the association of social needs assessment data with cardiometabolic health status in a federally qualified community health center patient population.

BACKGROUND: Health systems are increasingly using standardized social needs screening and response protocols including the Protocol for Responding to and Assessing Patients' Risks, Assets, and Experiences (PRAPARE) to improve population health and equity; despite established relationships between the social determinants of health and health outcomes, little is known about the associations between standardized social needs assessment information and patients' clinical condition. METHODS: In this cross-sectional study, we examined the relationship between social needs screening assessment data and measures of cardiometabolic clinical health from electronic health records data using two modelling approaches: a backward stepwise logistic regression and a least absolute selection and shrinkage operation (LASSO) logistic regression. Primary outcomes were dichotomized cardiometabolic measures related to obesity, hypertension, and atherosclerotic cardiovascular disease (ASCVD) 10-year risk. Nested models were built to evaluate the utility of social needs assessment data from PRAPARE for risk prediction, stratification, and population health management. RESULTS: Social needs related to lack of housing, unemployment, stress, access to medicine or health care, and inability to afford phone service were consistently associated with cardiometabolic risk across models. Model fit, as measured by the c-statistic, was poor for predicting obesity (logistic = 0.586; LASSO = 0.587), moderate for stage 1 hypertension (logistic = 0.703; LASSO = 0.688), and high for borderline ASCVD risk (logistic = 0.954; LASSO = 0.950). CONCLUSIONS: Associations between social needs assessment data and clinical outcomes vary by cardiometabolic condition. Social needs assessment data may be useful for prospectively identifying patients at heightened cardiometabolic risk; however, there are limits to the utility of social needs data for improving predictive performance.

Factors Associated with Patients' Connection to Referred Social Needs Resources at a Federally Qualified Health Center.

INTRODUCTION: In an effort to improve health outcomes and promote health equity, healthcare systems have increasingly begun to screen patients for unmet social needs and refer them to relevant social services and community-based organizations. This study aimed to identify factors associated with the successful connection (ie, services started) to social needs resources, as well as factors associated with an attempt to connect as a secondary, intermediate outcome. METHODS: This retrospective cohort study included patients who had been screened, referred, and subsequently reached for follow-up navigation from March 2019 to December 2020, as part of a social needs intervention at a federally qualified health center (FQHC). Measures included demographic and social needs covariates collected during screening, as well as resource-related covariates that characterized the referred resources, including service domain (area of need addressed), service site (integration relative to the FQHC), and access modality (means of accessing services). RESULTS: Of the 501 patients in the analytic sample, 32.7% had started services with 1 or more of their referred resources within 4 weeks of the initial referral, and 63.3% had at least attempted to contact 1 referred resource, whether or not they were able to start services. Receiving a referral to resources that patients could access via phone call or drop-in visit, as opposed to resources that required additional appointments or applications prior to accessing services, was associated with increased odds (aOR 1.95, 95% CI 1.05, 3.61) of connection success, after adjusting for age, sex, race, ethnicity, education, number of social needs, and resource-related characteristics. This study did not find statistically significant associations between connection attempt and any variable included in adjusted analyses. CONCLUSION: These findings suggest that referral pathways may influence the success of patients' connection to social needs resources, highlighting opportunities for more accessible solutions to addressing patients' unmet social needs.

Examining Health Care Access for Refugee Children and Families in the North Carolina Triangle Area.

BACKGROUND Resettled refugees are at increased risk of poor health outcomes due to acculturation challenges, logistical barriers, experiences of trauma, and other barriers to care that are poorly understood. Refugee children may be particularly vulnerable due to disruptions in health, well-being, education, and nutrition during the resettlement process.METHOD To describe the health care barriers facing refugees in the North Carolina Triangle area (comprised of Durham, Chapel Hill, Raleigh, and their surrounding areas), we conducted three focus group interviews (in Arabic, French, and Swahili) with 25 refugee parents from Syria, Iraq, Central African Republic, the Democratic Republic of the Congo, and Chad. We also administered a survey to nine organizations that provide services for refugees.RESULTS Focus group responses highlighted the multidimensional nature of health care barriers for refugee families and children, encompassing challenges with acculturation, communication, transportation, finances, and health literacy. Organizations emphasized similar challenges and described their efforts to improve access to services through increased communication, coordination, and seeking new financial support for programs.LIMITATIONS Given the geographic focus of the study, results may not be generalizable to other populations and settings. Men spoke more than women in some focus groups, and participants may have been influenced by more vocal contributors. Furthermore, this study is limited by a lack of health outcomes data.CONCLUSIONS This study suggests that the health care needs of refugees living in the North Carolina Triangle area can be better met by providing comprehensive, coordinated, and culturally relevant care. This could include minimizing the number of visits by integrating multiple services under one roof, providing trauma-informed interpreters, and offering accessible transportation services.