Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Archives
    • Special Collections
    • Abstracts In Press
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Archives
    • Special Collections
    • Abstracts In Press
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

How High-Performing Community Health Clinics Accomplish Social Risk Screening

Sara L. Ackerman, Holly Wing, Maura Pisciotta, Danielle Hessler Jones and Laura M. Gottlieb
The Journal of the American Board of Family Medicine February 2026, DOI: https://doi.org/10.3122/jabfm.2025.250123R3
Sara L. Ackerman
From the University of California, San Francisco (SLA, HW, DHJ, LMG); and OCHIN, Inc. (MP).
PhD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Holly Wing
From the University of California, San Francisco (SLA, HW, DHJ, LMG); and OCHIN, Inc. (MP).
MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maura Pisciotta
From the University of California, San Francisco (SLA, HW, DHJ, LMG); and OCHIN, Inc. (MP).
MS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Danielle Hessler Jones
From the University of California, San Francisco (SLA, HW, DHJ, LMG); and OCHIN, Inc. (MP).
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura M. Gottlieb
From the University of California, San Francisco (SLA, HW, DHJ, LMG); and OCHIN, Inc. (MP).
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Abstract

Purpose: Recent national policies encourage health care delivery systems to document patients’ social risks (SR), for example, food, housing, and transportation insecurity, and provide referrals to community services. Under-resourced community health centers (CHCs) face challenges integrating SR screening into care delivery. We sought out CHCs with consistently higher-than-average SR screening rates to understand what drives sustained integration.

Methods: This qualitative study used semistructured interviews to collect data about strategies for implementing and sustaining SR screening, staff and patient experiences, and external influences. We recruited 5 CHCs in 3 states with SR screening rates in the top 20% of a large national CHC network. Clinic staff in a variety of roles were invited to participate. Thematic analysis was used for interpretation of interview transcripts.

Results: Interviews were conducted with 27 clinicians and other clinic staff. Responses highlighted both internal and external influences on SR screening. Internally, organization-wide investments in team-based care, longitudinal commitments to quality improvement activities, and capacity to coordinate social services were all cited as key drivers of staff commitment to screening. External influences included Accountable Care Organization incentives, Primary Care Medical Home certification requirements, and support from CHC consortia and external grants. Across interviews, SR screening was framed as a collective endeavor aligned with CHCs’ collective mission to serve the whole patient.

Conclusion: CHCs with a sustained culture of team-based care, quality improvement, and care coordination may be more likely to integrate SR screening. Alongside enhanced external supports, investments in these well-characterized and mutually reinforcing building blocks of primary care are likely to translate to sustained SR screening in primary care clinical settings.

  • Community Health Centers
  • Qualitative Research
  • Social Determinants of Health
  • Social Risk Factors
  • Primary Health Care

Introduction

Although the current federal administration has threatened a course change, a slate of national policies enacted over the last 5 years encourage health care delivery systems to document and address adverse social conditions experienced by patients, or social risks (SR). In the Health care Effectiveness Data and Information Set (HEDIS), for instance, the National Committee for Quality Assurance (NCQA) has recommended large-scale implementation of SR screening and related interventions.1 The Joint Commission has included social risk screening and interventions in hospital accreditation assessments, and multiple professional associations have issued guidelines recommending social risk screening and intervention.2–8 Though specific definitions of SR vary in different national policies, SR often include food and housing insecurity, social isolation, and other forms of adversity that contribute to poor health.9–13 SR are caused or exacerbated by poverty, systemic racism, and structural inequities.14,15 Efforts to assess and document whether patients are experiencing SR include standardized, electronic health record (EHR)-integrated screening tools.16,17

Despite ongoing implementation efforts and investments in SR screening, which is typically the entry point for related interventions, health system uptake of EHR-integrated SR screening tools has been uneven.18–21 Recent research points to challenges with uptake and integration that may be particularly acute at under-resourced community health centers (CHCs), despite the higher proportion of patients with SR seen in these facilities. Barriers to screening uptake that have been identified at CHC member clinics include staff concerns about discussing sensitive personal issues with patients, difficulties integrating standardized screening tools with patient-provider conversations about social needs, resource and staff time constraints, limited impact of external financial incentives, and administrative burden.22–27 To understand why some clinics are achieving sustained uptake of SR screening, we conducted semistructured interviews with clinicians and other staff at CHC member clinics with consistently higher SR screening rates than other clinics with access to the same EHR tools.

Methods

Our qualitative study design was guided by a pragmatic and flexible approach to aligning research questions and methods, rather than following a particular disciplinary tradition or methodological framework such as ethnography or grounded theory.

Study Setting

This study was conducted with a convenience sample of CHC-based clinics in the OCHIN network. OCHIN, Inc. is a nonprofit organization that provides a single, centrally managed instance of the Epic EHR platform to over 2000 clinics across the US. The OCHIN EHR includes multiple screening questions and standardized tools for clinical team members to document and review patients’ social risk information (eg, housing, utilities, food, and transportation insecurity).

We recruited OCHIN-member primary care clinics, prioritizing those with the highest average yearly adult screening rates between January 1, 2021 and March 31, 2022. This “positive deviance” approach enables the in-depth study and characterization of high performance and identification of strategies for improvement.28 The study team also considered location with the goal of enrolling clinics in multiple states and limiting enrollees to 1 clinic per multi-clinic CHC organization. CHCs were invited through e-mail by OCHIN author MP to participate in the research. Ten CHCs were approached for study participation. Three declined due to competing priorities and 2 did not respond. The study was approved by the home institution’s IRB.

Participants

Five clinic sites from 5 different CHC organizations participated in this research. SR screening rates in these clinics were among the top 20% of OCHIN-member community-based clinics with embedded primary care from January 1, 2021 through December 2022. The average screening rate for every 100 adult encounter across similar OCHIN clinics during the same time period was 25.2 [SD = 13.8] for the top quintile, 3.81 [SD = 3.38] for the middle quintiles, and 0.05 [SD = 0.03] for the lowest quintile. At each clinic, the study team scheduled a meeting with a clinic leader to review study activities and identify staff involved directly or indirectly with social risk screening and/or navigation. Clinic leaders provided e-mail introductions between the identified staff and the study team. The study team reached out to each prospective participant by e-mail with an invitation to participate in an interview. See Table 1 for details of participating clinics and staff.

View this table:
  • View inline
  • View popup
Table 1.

Participating Clinics and Staff

Approach

Semistructured 60-minute interviews were conducted between October 2022 and June 2023 over Zoom video conferencing by authors SA, HW, and LG. All 3 authors have extensive experience conducting qualitative research and leading semistructured interviews. Study team members all have expertise in social care delivery and research and several have lived experience with social adversity. These characteristics contribute to our interest in social determinants of health and ability to conduct in-depth, empathetic interviews on the subject. The interview guide included questions about clinic work processes, SR screening workflows, strategies for implementing and sustaining screening, staff and patient experiences, efforts to use screening results, barriers to screening and strategies used to address them, and external influences on screening. All interviews were audio recorded and professionally transcribed.

Data Analysis

Interview transcripts were analyzed using Dedoose, a web-based qualitative data management and analysis application.29 Our collaborative analytic process included both inductive and deductive interpretation and was based on thematic analysis as described by Braun and Clark (2021).30 The first stage involved reading transcripts and developing a set of codes to reduce and organize the data. Codes were based on a priori subjects of interest developed by the research team and on topics that emerged spontaneously in interviews. Two authors (SA, HW) first coded a subset of 4 transcripts independently and then met to discuss differences in coding application. Next, an additional 3 transcripts were coded by either SA or HW, who reviewed each other’s coding and met to discuss differences in code interpretation and application. Once consistency in coding was established, all transcripts were coded independently by SA or HW. During and after coding, the research team met regularly to discuss the coded data, identify patterns across transcripts, and develop themes. Differences in interpretation were resolved by revisiting and reviewing interview transcripts and discussion of trends and “negative cases.”31

Results

Three clinicians, 12 clinic staff, and 12 clinic leaders (n = 27) from 5 clinics in 3 US states participated in 24 individual interviews and 1 group interview with 3 participants from 1 clinic. See Table 2 for participant characteristics.

View this table:
  • View inline
  • View popup
Table 2.

Participant Characteristics

SR screening at all clinics consisted of a clinic staff member presenting a patient with a set of questions either at check in or during a clinic visit. Questions were asked verbally by the staff member or on an article form that patients filled out. The SR-related questions asked varied across clinics but were all entered on the patient’s electronic health record via a standardized form. All clinics reported offering screening questions in multiple languages and/or through an interpreter in the absence of language concordance between patient and clinic staff.

Our convenience sample enabled us to achieve thematic saturation through identification of influential internal and external factors shaping SR screening uptake and maintenance across clinics. We define “internal” and “external” based on the Consolidated Framework for Implementation Research’s “inner setting” and “outer setting” domains.32 Inner setting refers to characteristics of an implementing organization, and outer setting encompasses external influences such as policies and pressure from peers in networked organizations. Internally, investments in team-based care, quality improvement (QI) efforts, and capacity to facilitate access to social services for patients reporting social risks were cited as key drivers of staff commitment to SR screening. External influences included primary care medical home certification requirements, accountable care organization incentives, and CHC consortia priorities. Across interviews, SR screening was framed as a collective endeavor undertaken in the service of addressing patients’ needs. Below we describe each of these areas of influence in detail.

Internal Influences

Clinics Invested in Team-Based Care

All participating clinics operated with “team-based care” models, in which patient-care responsibilities are shared among clinicians, medical assistants (MAs), social workers, and other clinic staff. At some clinics, front desk staff participated in team meetings alongside clinicians and MAs. Interviewees reported that care teams met regularly to discuss both individual patients and practice change initiatives. SR screening was frequently discussed in care team meetings, with topics including the appropriate time and place for screening, strategies to ensure that screening did not interfere with other clinical activities, and how to integrate SR screening with efforts to respond to patient-reported hardships. A physician and several MAs from one clinic reported that the participation of front desk staff in team meetings had enabled robust discussions about how to mitigate SR screening implementation barriers. Subsequent practice changes had contributed to consistent uptake of SR screening by front desk staff, whose perspectives were described as being “ingrained in [the clinic’s] team culture…” (physician, Clinic 4).

Approaching social care as a collective, team-based activity was evident in clinics’ approach to SR screening. Across participating clinics, responsibility for implementing SR screening was distributed among multiple members of a given care team, rather than being delegated by leadership to staff in particular roles, for example, MAs. “It is not necessarily from the top down, it is just the whole entire organization” (quality improvement coordinator, Clinic 3), said one participant. Another participant from the same CHC confirmed that implementing SR screening was a team endeavor: “…everybody’s really aligned with it and sees the importance” (administrative leader, Clinic 3). This embrace of collaborative work was apparent in the social dynamics we observed during an interview with 3 staff from 1 clinic. In addition notable was the considerable variability across clinics in how and by whom SR screening was conducted during a patient’s path through the clinic. The successful integration of screening appeared to hinge on the teams’ ability to adapt screening workflows to clinic conditions and patient and staff preferences, rather than their ability to adopt standardized procedures and roles. (See Table 3 for additional quotes illustrating how an emphasis on team-based care contributed to SR screening uptake.)

View this table:
  • View inline
  • View popup
Table 3.

Exemplar Quotes

Though MAs were not solely responsible for social risk screening in most clinics, they nonetheless played a central role in multiple aspects of social care. At several clinics, MAs were involved in decisions about SR screening implementation, including contributing to workflow revisions when screening rates flagged. At one clinic, MAs combined screening with direct assistance to patients, for example, providing information about local resources or making referrals to social workers or community health workers (CHWs). “We have a list of different grocery places that give out free groceries for people in need…,” said an MA (Clinic 4). Giving MAs responsibility for SR screening and follow-up was often described as “empowering” both because it gave MAs a sense of “ownership” and pride and made them feel that the organization valued their work.

At clinics with less of an emphasis on MA involvement in social care decisions, care teams nonetheless served as an important mechanism for ensuring accountability with screening targets: “…we have huddle every morning…[the program lead] has told the MAs, ‘Hey, you need to be asking those questions again.’” (clinician, Clinic 2)

Clinics Engaged in Sustained Quality Improvement

Efforts to implement SR screening were also buoyed by organization-level QI efforts. These high performing clinics were already using QI activities to improve care across a range of clinic initiatives. They then harnessed that capacity to support social care practices, engaging in “plan-do-study-act cycles” aimed at improving SR screening rates. For example, all the clinics used screening data as a form of health center-, group- and individual-level performance feedback. Communicating performance metrics on a regular basis functioned as a type of report card or at least a means of initiating conversations among leaders and staff about reasons for lower-than-expected SR screening rates and strategies for improvement. Screening data were also used to prompt discussions about discrepancies in SR screening activities and screening rates represented in clinic records. For example, a [QI director] said: “…if the MA says, ‘Oh, well, we are asking everybody about this, but the numbers are not showing.’ It clearly means that there's a workflow issue, then we have to address it. That is where I come in.” (Clinic 3)

Social care-focused QI activities varied across settings. For example, staff feedback about patient outreach regularly led to adjustments to screening workflows at one clinic. At another, EHR alerts were employed to indicate to providers when a patient was due for SR screening. Across all participating clinics, both QI and care team commitments helped sustain attention to SR screening among busy providers and staff in a context of multiple competing demands. These structures and processes reinforced an ethos of mutual support and accountability, such that striving to improve screening rates became part of a group effort to support the clinic’s mission and maintain staff cohesion. (See Table 3 for additional quotes illustrating how QI practices contributed to SR screening uptake.)

Commitment to Screening Was Often Linked to Clinics’ Capacity to Facilitate Access to Social Services for Patients in Need

Numerous interviewees across participating clinics reported that staff support for SR screening was contingent on the clinic’s ability to help patients with an identified social need, whether by directly providing assistance or by making referrals to community services. Some participants put this in stark terms, indicating that asking patients questions about their social risks felt like a form of moral injury to both patients and providers if a clinic does not have the capacity to provide assistance: “It does not do any good to ask somebody if they are food insecure, if you are not going to offer them resources to help meet that need. It just feels kind of hollow and empty,” said an administrative leader at Clinic 3. This participant explained that she had previously worked at clinics where staff were screening patients, or “checking the box,” without addressing identified social needs. By contrast, she felt that Clinic 3 was more meaningfully addressing the “missing piece of the puzzle.” “That is the whole purpose” of social care, she said. A contrasting perspective was voiced by one interviewee, who indicated that asking about social needs, even in the absence of services, would produce data that could serve as an important advocacy tool with funders. Implicit in these discussions was the understanding that social care, like clinical care, is most effective when it involves comprehensive and coordinated services.

To mitigate staff concerns about potential harms resulting from asking about difficult life circumstances without the capacity to help, several participating clinics had adjusted standardized SR screening forms to include only questions pertaining to social risks that team members felt could be addressed by the clinic. “We want to be able to have resources in place if we’re asking them,” said one clinic leader (Clinic 2). On the other hand, one interviewee in our study sample reported that it felt useful to ask patients about all SRs even if clinic staff are not able to provide social services immediately. Resources to address the identified need may become available later, said that participant, such that “…not asking is missing that opportunity to get something that we might not know (care coordinator, Clinic 4).”

Most participants agreed that the primary goal of SR screening is connecting patients with services. To bolster their social care efforts, and ensure that SR screening led to meaningful assistance and referrals to local organizations, all the participating clinics had actively sought – and often secured – external funding to support their capacity to refer patients to community services and/or provide direct assistance, for example, clothing, transportation, and food.

External Influences

Our findings indicate that SR screening efforts were also shaped by influences originating outside of the clinic. Those mentioned most often were Accountable Care Organization (ACO) incentives, Primary Care Medical Home (PCMH) certification requirements, support from grants and other ad hoc sources of funding, and participation in CHC consortia. These activities enabled and supported social care activities, but they also created additional work for staff in some cases.

Accountable Care Organization Requirements and Incentives Influenced Screening

Most participating CHCs were members of ACOs, which are groups of health care providers and organizations that collectively agree to be held financially accountable for the quality of clinic services provided. Three of the 5 participating clinics reported being members of ACOs that prioritized social care. ACO financial incentives rewarded clinics for reaching predetermined SR screening benchmarks, and peer institutions within ACOs provided mutual aid: “We share experiences with each other within [the] ACO…whenever we talk, I feel like a lot of clinics [are] try[ing] to move to doing the screenings more often than once a year.” (population health manager, Clinic 1)

Despite its largely positive influence, ACO participation could be a source of tension. ACO financial incentives for screening applied only to patients with select insurance coverage. This forced clinics to choose between sorting patients into screen/do not screen categories or screening all patients while only receiving financial incentives for a subset.

Primary Care Medical Home Certification Requirements Motivated Screening

Staff at 2 participating clinics reported that their CHC was certified as a PCMH. To meet certification requirements, clinics are expected to achieve both required and elective criteria; SR screening was one of the elective criteria selected by one clinic. A patient care coordinator at that clinic described the PCMH certification process as a “huge motivator” to integrate SR screening into clinic workflows (see Table 3 for full quote). (Clinic 2)

Support from CHC Consortia, Grants, and External Partnerships Was Influential

Interviewees at 4 of the participating clinics indicated that their organization was a member of a state-wide CHC consortium. The consortia provide a forum for troubleshooting challenges with SR screening, learning about the social care activities at other CHCs, and “getting feedback not only from health centers, but also other community organizations and ideas of how to better reach and connect to folks…” (administrative leader, Clinic 3).

Some clinics also received financial support from the CHC consortia and/or other external grants. Departments of public health and the US Health Resources and Services Administration were most often mentioned as sources of funding. These funds often enabled clinics to hire CHWs tasked with helping patients access community resources. An externally-funded CHW was able to serve “any patient, regardless of insurance coverage…”, a clinic leader told us (Clinic 5), thereby bridging the gap created by their ACO’s selective reimbursement criteria.

Discussion

Staff from 5 clinics with SR screening rates in the top quintile of a national CHC network described both internal and external factors supporting their efforts to integrate social risk (SR) screening into clinical practices. Internal drivers of SR screening in these settings included organization-wide investments in team-based care, longitudinal commitments to quality improvement activities, and capacity to assist patients with identified needs. These 3 key drivers of social care align closely with the seminal work from Bodenheimer et. al on the “10 building blocks of high-performing primary care”33 (eg, engaged leadership; data-driven quality improvement; team-based care; and comprehensiveness and care coordination), which has been used to explain variations in primary care quality across the US and internationally.

It is perhaps not surprising that primary care clinics successfully adopting and sustaining new practices would already have laid a foundation for high quality primary health care delivery. That said, we believe this is the first study to explicitly link the building blocks of high quality primary care to specific social care practices, requirements for which are increasing in both primary and nonprimary care settings yet which have not traditionally been well integrated into health care delivery. Though prior work has not directly linked primary care building blocks to social care activities, our findings are nonetheless consistent with other research on social care. For example, recent studies have indicated that QI efforts can increase uptake21,34–37 and that implementation is influenced by the ability of the team to both respect and adjust activities based on the opinions of staff at all levels.38 Moreover, commitment to SR screening increases when staff experience the task as aligned with patient-centered care.23,39–43 A key takeaway from these collective findings is that efforts to strengthen high quality primary care generally are likely to influence clinic capacity to implement and maintain social risk screening and related interventions, more specifically. Focusing solely on social care EHR functions (eg, documentation tools) is less likely to increase or sustain screening rates in the context of busy primary care clinical settings.

Though external factors are not described in detail in the essential building blocks model, Bodenheimer et. al33 nonetheless acknowledge that external factors such as payment reform will also be essential for ensuring high quality primary care in the future. Our findings similarly suggest that internal supports were necessary but insufficient for motivating and sustaining SR screening in the clinics included in our study. External supports that facilitate accountability – such as membership in ACOs, PCMHs, CHC consortia, and external grants – were also essential. The reliance on both internal and external supports resonates with recent research on social care efforts at federally qualified health centers.41 One study demonstrated that external funding bolstered the availability of social care staff and the perception that their work could meaningfully impact patients’ conditions; at the same time, however, uncertain external funding also undermined sustainability in SR screening.27

Notably, 3 of the 5 participating clinics were located in 1 state, Massachusetts, which had the third highest public welfare expenditures among US states in 2021.44 Publicly available information also indicates that 2 of these clinics had engaged in long-term social care research collaborations with academic institutional partners, although these partnerships were not discussed by participants. It is likely that SR screening practices at these clinics have been influenced by collaboration with academic institutions and by state and local policies, funding allocations, and commitments to social welfare, but we are unable to confirm this hypothesis beyond our reported findings.

Limitations

Our findings should be interpreted in light of several study limitations. First, we defined high performing clinics based on average SR screening rates over 2 years. It is possible that SR screening rates would not be sustained over a longer time period in these clinics. Future work might explore the consistency of SR screening rates as well as the relative impacts of internal and external drivers on sustainability. For instance, the influence of new policies providing financial incentives for screening may vary across clinics that differ in their internal capacity for screening. Moreover, all participating clinics used the Epic EHR platform, which has relatively advanced tools for SR screening compared with other EHRs. It is possible that our findings are less transferable to clinics without comparable technological capability. On the other hand, the variability in SR screening uptake across EPIC-supported clinics suggests that EHR technology is not the only – or even the greatest – influence on screening activities. In addition, both the national and local context for SR screening, and for primary care more generally, is dynamic. The role of internal and external factors today is likely to change over time, which means it will be important to regularly assess the evolving needs of CHCs as they consider additional investments in social care practices. Finally, SR screening is not the end goal of social care, though new standards are often designed around this step in the workflow. Instead, the intent of social care integration is to improve care for people experiencing social barriers to health and wellbeing. Future research might start by identifying clinics where social care practices have optimized ways to improve patients’ social conditions rather than identifying clinics where SR screening has been successfully implemented.

Conclusion

In response to growing policy-level enthusiasm for attending to adverse socioeconomic conditions that interfere with patient health and wellbeing, many CHCs are attempting to standardize social risk screening. Teams from the high performing clinics in our study suggested that factors influencing their success include both internal characteristics as well as a variety of external drivers, such as the national and state policy environment and pressure from peer organizations. Participants underscored that the internal characteristics associated with high adoption are not specific to social care, but instead reflect the same capacities that facilitate high quality primary care more generally. These include capacity for team based care, quality improvement and care coordination. Infrastructure investments in these areas may therefore have multiplier effects by strengthening both medical and social care delivery.

Acknowledgments

We would like to express our gratitude to the health care professionals who generously shared their experiences and perspectives with us. The research reported in this work was powered by PCORnet®. PCORnet has been developed with funding from the Patient-Centered Outcomes Research Institute® (PCORI®) and conducted with the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) Clinical Research Network (CRN). ADVANCE is a Clinical Research Network in PCORnet® led by OCHIN in partnership with Health Choice Network, Fenway Health, University of Washington, and Oregon Health & Science University. ADVANCE’s participation in PCORnet® is funded through the PCORI Award RI-OCHIN-01-MC.

Notes

  • This article was externally peer reviewed.

  • Funding: Funding for this research was provided by the Agency for Healthcare Research and Quality, Grant Number 1R18HS026435-01A1.

  • Conflict of interest: The authors have no conflicts of interest to report.

  • Received for publication March 27, 2025.
  • Revision received July 3, 2025.
  • Revision received July 11, 2025.
  • Revision received July 21, 2025.
  • Accepted for publication August 4, 2025.

References

  1. 1.↵
    1. Reynolds A
    . Social Need: New HEDIS Measure Uses Electronic Data to Look at Screening, Intervention. Accessed June 30, 2025. Available at: https://www.ncqa.org/blog/social-need-new-hedis-measure-uses-electronic-data-to-look-at-screening-intervention/.
  2. 2.↵
    The Joint Commission. R3 Report Issue 38: National Patient Safety Goal to Improve Health Care Equity, 2022. Accessed Jan 16, 2026. Available at: https://www.jointcommission.org/en-us/standards/r3-report/r3-report-38.
  3. 3.
    1. Gottlieb LM,
    2. DeSilvey SC,
    3. Fichtenberg C,
    4. Bernheim S,
    5. Peltz A
    . Developing National Social Care Standards. Health Affairs Forefront. Accessed February 22, 2023. Available at: https://www.healthaffairs.org/content/forefront/developing-national-social-care-standards.
  4. 4.
    1. Alley DE,
    2. Asomugha CN,
    3. Conway PH,
    4. Sanghavi DM
    . Accountable health communities–addressing social needs through Medicare and Medicaid. N Engl J Med 2016;374:8–11.
    OpenUrlCrossRefPubMed
  5. 5.
    1. Byhoff E,
    2. Kangovi S,
    3. Berkowitz SA
    , Society of General Internal Medicineet al. A society of general internal medicine position statement on the internists’ role in social determinants of health. J Gen Intern Med 2020;35:2721–7.
    OpenUrlCrossRefPubMed
  6. 6.
    Poverty and Health. The Family Medicine Perspective (Position Paper). Accessed June 30, 2025. Available at: https://www.aafp.org/about/policies/all/poverty-health.html.
  7. 7.
    Addressing Social and Structural Determinants of Health in the Delivery of Reproductive Health Care: ACOG Committee Statement No. 11. Obstet Gynecol 2024;144:e113.
    OpenUrlCrossRefPubMed
  8. 8.↵
    Council on Community Pediatrics. Poverty and child health in the United States. Pediatrics 2016;137:e20160339.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Bhat AC,
    2. Almeida DM,
    3. Fenelon A,
    4. Santos-Lozada AR
    . A longitudinal analysis of the relationship between housing insecurity and physical health among midlife and aging adults in the United States. SSM Popul Health 2022;18:101128.
    OpenUrlPubMed
  10. 10.
    1. Gundersen C,
    2. Ziliak JP
    . Food insecurity and health outcomes. Health Aff (Millwood) 2015;34:1830–9.
    OpenUrlAbstract/FREE Full Text
  11. 11.
    1. Hood CM,
    2. Gennuso KP,
    3. Swain GR,
    4. Catlin BB
    . County health rankings: relationships between determinant factors and health outcomes. Am J Prev Med 2016;50:129–35.
    OpenUrlCrossRefPubMed
  12. 12.
    1. Walker RJ,
    2. Smalls BL,
    3. Campbell JA,
    4. Strom Williams JL,
    5. Egede LE
    . Impact of social determinants of health on outcomes for type 2 diabetes: a systematic review. Endocrine 2014;47:29–48.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Kelly JD,
    2. Bravata DM,
    3. Bent S,
    4. et al
    . Association of social and behavioral risk factors with mortality among US veterans with COVID-19. JAMA Netw Open 2021;4:e2113031.
    OpenUrlPubMed
  14. 14.↵
    1. Kreuter MW,
    2. Thompson T,
    3. McQueen A,
    4. Garg R
    . Addressing social needs in health care settings: evidence, challenges, and opportunities for public health. Annu Rev Public Health 2021;42:329–44.
    OpenUrlPubMed
  15. 15.↵
    1. Gottlieb LM,
    2. DeSalvo K,
    3. Adler NE
    . Healthcare sector activities to identify and intervene on social risk: an introduction to the American Journal of Preventive Medicine supplement. Am J Prev Med 2019;57:S1–S5.
    OpenUrlCrossRefPubMed
  16. 16.↵
    Institute of Medicine of the National Academies Committee on the Recommended Social and Behavioral Domains and Measures for Electronic Health Records. Capturing social and behavioral domains and measures in electronic health records: phase 1. Natl Acad Press 2014;1–351.
  17. 17.↵
    1. Gold R,
    2. Cottrell E,
    3. Bunce A,
    4. et al
    . Developing electronic health record (EHR) strategies related to health center patients’ social determinants of health. J Am Board Fam Med 2017;30:428–47.
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. Lindenfeld Z,
    2. Chen K,
    3. Kapur S,
    4. Chang JE
    . Assessing differences in social determinants of health screening rates in a large, urban safety-net health system. J Prim Care Community Health 2023;14:21501319231207713.
    OpenUrlPubMed
  19. 19.
    1. Garg A,
    2. Brochier A,
    3. Tripodis Y,
    4. Messmer E,
    5. Drainoni ML
    . A social care system implemented in pediatric primary care: a cluster RCT. Pediatrics 2023;152:e2023061513.
    OpenUrlPubMed
  20. 20.
    1. Garg A,
    2. Cull W,
    3. Olson L,
    4. et al
    . Screening and referral for low-income families’ social determinants of health by US pediatricians. Acad Pediatr 2019;19:875–83.
    OpenUrlPubMed
  21. 21.↵
    1. Buitron de la Vega P,
    2. Losi S,
    3. Sprague Martinez L,
    4. et al
    . Implementing an EHR-based screening and referral system to address social determinants of health in primary care. Med Care 2019;57 Suppl 6 Suppl 2:S133–S139.
    OpenUrl
  22. 22.↵
    1. Lopez JM,
    2. Wing H,
    3. Ackerman SL,
    4. Hessler D,
    5. Gottlieb LM
    . Community health center staff perspectives on financial payments for social care. Milbank Q 2023;101:1304–26.
    OpenUrlPubMed
  23. 23.↵
    1. Drake C,
    2. Batchelder H,
    3. Lian T,
    4. et al
    . Implementation of social needs screening in primary care: a qualitative study using the health equity implementation framework. BMC Health Serv Res 2021;21:975.
    OpenUrlCrossRefPubMed
  24. 24.
    1. Ackerman SL,
    2. Wing H,
    3. Aceves B,
    4. Pisciotta M,
    5. Hessler D,
    6. Gottlieb LM
    . “We were trying to do quality versus quantity”: challenges and opportunities at the intersection of standardized and personalized social care in community health centers. SSM - Qual Res Health 2023;3:100267.
    OpenUrl
  25. 25.
    1. Bosold A,
    2. Abrams Weintraub T,
    3. Cowen K,
    4. Talwar-Hebert M,
    5. Abowd Johnson K,
    6. Barolín N
    . Health-related social needs screening: promising practices from the accountable health communities model. Health Promot Pract 2025;26:33–8.
    OpenUrlPubMed
  26. 26.
    1. Herrera CN,
    2. Brochier A,
    3. Pellicer M,
    4. Garg A,
    5. Drainoni ML
    . Implementing social determinants of health screening at community health centers: clinician and staff perspectives. J Prim Care Community Health 2019;10:2150132719887260.
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Greenwood-Ericksen M,
    2. DeJonckheere M,
    3. Syed F,
    4. Choudhury N,
    5. Cohen AJ,
    6. Tipirneni R
    . Implementation of health-related social needs screening at Michigan health centers: a qualitative study. Ann Fam Med 2021;19:310–7.
    OpenUrlAbstract/FREE Full Text
  28. 28.↵
    1. Bradley EH,
    2. Curry LA,
    3. Ramanadhan S,
    4. Rowe L,
    5. Nembhard IM,
    6. Krumholz HM
    . Research in action: using positive deviance to improve quality of health care. Implement Sci 2009;4:25.
    OpenUrlCrossRefPubMed
  29. 29.↵
    Dedoose Version 9.0.17, cloud application for managing, analyzing, and presenting qualitative and mixed method research data (2021). Los Angeles, CA: SocioCultural Research Consultants, LLC. Available at: www.dedoose.com.
  30. 30.↵
    1. Braun V,
    2. Clarke V
    . Thematic Analysis. In: Thematic Analysis: A Practical Guide. SAGE Publications Ltd.
  31. 31.↵
    1. Lewis-Beck MS,
    2. Bryman A,
    3. Futing Liao T
    Negative case. In Lewis-Beck MS, Bryman A, Futing Liao T, eds. The SAGE Encyclopedia of Social Science Research Methods. Vol. 0. Thousand Oaks, CA: Sage Publications, Inc.; 2004:717.
    OpenUrlFREE Full Text
  32. 32.↵
    1. Safaeinili N,
    2. Brown‐Johnson C,
    3. Shaw JG,
    4. Mahoney M,
    5. Winget M
    . CFIR simplified: Pragmatic application of and adaptations to the Consolidated Framework for Implementation Research (CFIR) for evaluation of a patient‐centered care transformation within a learning health system. Learn Health Syst 2020;4:e10201.
    OpenUrl
  33. 33.↵
    1. Bodenheimer T,
    2. Ghorob A,
    3. Willard-Grace R,
    4. Grumbach K
    . The 10 building blocks of high-performing primary care. Ann Fam Med 2014;12:166–71.
    OpenUrlAbstract/FREE Full Text
  34. 34.↵
    1. Sanderson D,
    2. Braganza S,
    3. Philips K,
    4. et al
    . “Increasing warm handoffs: optimizing community based referrals in primary care using QI methodology.” J Prim Care Community Health 2021;12:21501327211023883.
    OpenUrlPubMed
  35. 35.
    1. Higginbotham K,
    2. Davis Crutcher T,
    3. Karp SM
    . Screening for social determinants of health at well-child appointments: a quality improvement project. Nurs Clin North Am 2019;54:141–8.
    OpenUrlCrossRefPubMed
  36. 36.
    1. Power‐Hays A,
    2. Li S,
    3. Mensah A,
    4. Sobota A
    . Universal screening for social determinants of health in pediatric sickle cell disease: a quality‐improvement initiative. Pediatr Blood Cancer 2020;67.
  37. 37.↵
    1. Fiori K,
    2. Patel M,
    3. Sanderson D,
    4. et al
    . From policy statement to practice: integrating social needs screening and referral assistance with community health workers in an urban academic health center. J Prim Care Community Health 2019;10:2150132719899207.
    OpenUrlPubMed
  38. 38.↵
    1. Gruß I,
    2. Bunce A,
    3. Davis J,
    4. Dambrun K,
    5. Cottrell E,
    6. Gold R
    . Initiating and implementing social determinants of health data collection in community health centers. Popul Health Manag 2021;24:52–8.
    OpenUrlCrossRefPubMed
  39. 39.↵
    1. Tong ST,
    2. Liaw WR,
    3. Kashiri PL,
    4. et al
    . Clinician experiences with screening for social needs in primary care. J Am Board Fam Med 2018;31:351–63.
    OpenUrlAbstract/FREE Full Text
  40. 40.
    1. Porterfield L,
    2. Jan QH,
    3. Jones F,
    4. et al
    . Family medicine team perspectives on screening for health-related social needs. J Am Board Fam Med 2024;37:180–6.
    OpenUrlAbstract/FREE Full Text
  41. 41.↵
    1. Byhoff E,
    2. LeClair AM,
    3. Smith CN,
    4. Roy TK,
    5. Drainoni ML
    . Designing an implementation strategy to increase health-related social needs screening: applying the PRISM framework in a resource-limited clinical setting. Transl Behav Med 2024;14:197–205.
    OpenUrlPubMed
  42. 42.
    1. Rane P,
    2. Weimer MB,
    3. Baus A
    . Clinician attitudes and experiences in screening patients for social determinants of health using PRAPARE. J Appalach Health 2025;6:28–40.
    OpenUrlPubMed
  43. 43.↵
    1. Heaberlin S,
    2. Skelly K,
    3. Rosenbaum M,
    4. Bunt S
    . Food insecurity: physician perspectives, screening and communication. PRiMER 2024;8:38.
    OpenUrlPubMed
  44. 44.↵
    Public Welfare Expenditures. Urban Institute; 2021. Accessed June 30, 2025. Available at: https://www.urban.org/policy-centers/cross-center-initiatives/state-and-local-finance-initiative/state-and-local-backgrounders/public-welfare-expenditures.
Previous
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 38 (6)
The Journal of the American Board of Family Medicine
Vol. 38, Issue 6
November-December 2025
  • Table of Contents
  • Cover (PDF)
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
How High-Performing Community Health Clinics Accomplish Social Risk Screening
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
7 + 5 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
How High-Performing Community Health Clinics Accomplish Social Risk Screening
Sara L. Ackerman, Holly Wing, Maura Pisciotta, Danielle Hessler Jones, Laura M. Gottlieb
The Journal of the American Board of Family Medicine Feb 2026, DOI: 10.3122/jabfm.2025.250123R3

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
How High-Performing Community Health Clinics Accomplish Social Risk Screening
Sara L. Ackerman, Holly Wing, Maura Pisciotta, Danielle Hessler Jones, Laura M. Gottlieb
The Journal of the American Board of Family Medicine Feb 2026, DOI: 10.3122/jabfm.2025.250123R3
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Internal Influences
    • External Influences
    • Discussion
    • Limitations
    • Conclusion
    • Acknowledgments
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Characterizing Cervical Cancer Screening in the US: Preparing for the Era of Self-Collection
  • Effect of Initiating HPV Vaccination Before Age 11 on HPV Vaccination Completion
Show more Original Research

Similar Articles

Keywords

  • Community Health Centers
  • Qualitative Research
  • Social Determinants of Health
  • Social Risk Factors
  • Primary Health Care

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2026 American Board of Family Medicine

Powered by HighWire