Health-related social needs (HRSN) are the individual social and economic barriers that directly limit a person’s ability to maintain health and access care. CMS defines HRSN as social and economic needs that individuals experience which affect their ability to maintain health and well-being, citing financial strain, lack of access to healthy food, housing instability, and lack of transportation as primary examples. That definition is the one clinicians, community health workers, and policymakers should cite when documenting need or justifying program investment.
The critical operational distinction: HRSN are individual-level barriers, while Social Determinants of Health (SDOH) are the community-level conditions, such as neighborhood poverty rates or regional food access, that shape those barriers. A patient who cannot afford groceries this week has an HRSN. The food desert their neighborhood sits in is an SDOH. Both matter, but they require different responses.
Five canonical HRSN examples recognized across federal guidance:
- Housing instability — inability to pay rent, risk of eviction, or unsafe living conditions
- Food insecurity — inconsistent access to adequate, nutritious food
- Transportation barriers — no vehicle, no transit access, or inability to afford rides to appointments
- Utility needs — inability to pay for heat, electricity, or water
- Social isolation — limited social contact, loneliness, or lack of community support
Statistic: Up to 1 in 4 older adults in the U.S. experience high levels of social isolation, a condition the CDC links directly to elevated chronic disease risk and mortality.
The CDC and NIH both treat these needs as measurable, addressable health factors. CMS 2024 guidance formalizes HRSN as a distinct category within its innovation and value-based care frameworks, giving programs a federal definitional anchor for screening, documentation, and funder reporting.
Table of Contents
- What HRSNs look like in clinical practice
- How HRSN and SDOH differ, and why the distinction drives clinical action
- Why HRSNs matter: prevalence and health outcome evidence
- Screening tools, sample questions, Z-codes, and data sources
- How programs respond to identified HRSNs
- Evidence that closed-loop referral systems improve outcomes
- U.S. policy and payer context shaping HRSN work
- Key Takeaways
- The gap between screening and actually helping someone
- Authoritative sources and implementation resources
What HRSNs look like in clinical practice
Recognizing an HRSN in a clinical encounter requires knowing what each category looks like when a patient presents. The categories used in standard U.S. screening instruments map closely to daily life functions: economic stability, food and housing security, transportation, utilities, social connection, and personal safety.
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Economic stability surfaces when a patient delays refilling a prescription because of cost, or skips follow-up appointments to avoid copays. A community health worker conducting a home visit might find a patient rationing insulin, not because of a clinical misunderstanding but because the household budget ran out three days before the next paycheck.
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Food and housing insecurity often appear together. A patient with uncontrolled type 2 diabetes may be eating whatever is available rather than what a dietitian recommended, because the nearest grocery store is 12 miles away and they have no car. Housing instability compounds medication adherence: a patient who moves frequently or stays in temporary shelter may lose prescriptions, miss lab orders, or have no refrigeration for temperature-sensitive medications.
Transportation barriers are one of the most direct drivers of missed appointments. A patient managing chronic obstructive pulmonary disease who lives in a rural county without public transit may go months between primary care visits, not because they are disengaged but because they cannot physically get there.
Social isolation is less visible but clinically significant. CDC PLACES frames social isolation and loneliness as measurable chronic stressors with clear links to chronic conditions and mortality. A patient who reports seeing no one outside their household for weeks may be at elevated risk for depression, cognitive decline, and poor self-management of any existing condition.
Personal safety needs, including domestic violence or neighborhood violence, affect care-seeking behavior and treatment adherence in ways that standard clinical intake rarely captures.
A 2024 meta-synthesis on multimorbidity found that social needs are instrumental to the health behaviors of people managing multiple chronic conditions, and that those needs shift over time. Screening must account for that mutability.
Pro Tip: When asking about social needs, frame questions around the patient’s priorities, not a checklist. Ask “What is getting in the way of your health right now?” before moving to structured items. Patients with multimorbidity or disability often have needs that do not fit neatly into standard categories, and a brief open-ended prompt surfaces them faster than a form alone.
How HRSN and SDOH differ, and why the distinction drives clinical action
The HRSN/SDOH distinction is not semantic. It determines who responds, what intervention is appropriate, and how success gets measured. SDOH are the structural, community-level conditions where people are born, live, learn, work, play, worship, and age. HRSN are the individual-level barriers those conditions produce in a specific person at a specific point in time.
| Dimension | HRSN (Individual Level) | SDOH (Community/Structural Level) |
|---|---|---|
| Definition | Individual social or economic barriers affecting health access | Structural conditions shaping health across populations |
| Who it targets | A specific patient or household | A neighborhood, population, or system |
| Screening approach | Clinical screening tools (PRAPARE, AHC HRSN) | Population data, community health needs assessments |
| Intervention type | Referral to social services, care coordination | Policy change, community investment, systems reform |
| Data use | Patient record, referral tracking, Z-codes | Epidemiological surveillance, program planning |
| Success metric | Referral completion, service receipt, utilization change | Population health indicators, equity metrics |
When a clinician identifies that a patient cannot get to dialysis three times a week because they have no transportation, that is an HRSN requiring a clinical referral to a transportation assistance program. When an entire rural county lacks any medical transport infrastructure, that is an SDOH requiring a policy or systems-level response.
The CMS operational framework makes this explicit: screening for HRSN triggers clinical workflows and referrals, while SDOH drives community-level or payer-level strategies. Conflating the two leads programs to screen patients for needs they have no referral pathway to address, or to expect clinical referrals to solve structural problems that require policy intervention.
Key operational implications of keeping the distinction clear:
- Screening data from PRAPARE or the AHC HRSN tool feeds patient-level referrals and ICD-10 Z-code documentation, not community health needs assessments.
- Population-level SDOH data from CDC PLACES or county health rankings informs program design and resource allocation, not individual care plans.
- Payers and funders increasingly require programs to report on both levels separately, using different data sources and metrics.
For a deeper look at how these two concepts relate in program design, WellCheck’s guide on SDOH vs. social drivers of health covers the terminology distinctions that affect funder reporting and CMS alignment.
Why HRSNs matter: prevalence and health outcome evidence
The significance of health-related social needs in U.S. health outcomes is well-documented. NIH and related analyses estimate that social determinants account for a majority share of health outcomes, meaning clinical care alone cannot close the gap for high-need populations. That evidence base is what justifies integrating HRSN screening into standard care delivery.
CDC PLACES captures seven HRSN-related factors, including food insecurity, housing insecurity, transportation barriers, social isolation, and lack of health insurance, and documents their links to chronic disease risk and mortality. The prevalence numbers are not marginal.
Key evidence points for clinicians and policymakers:
- Social isolation: Up to 1 in 4 older adults experience high levels of social isolation, with documented associations with heart disease, depression, cognitive decline, and premature death.
- Food insecurity: The USDA Economic Research Service tracks food insecurity rates across U.S. households, with consistently higher rates among low-income households, households with children, and households in rural counties.
- Housing instability: Research synthesized by the Office of Disease Prevention and Health Promotion links housing instability to higher rates of emergency department use, worse chronic disease management, and increased risk of infectious disease.
- Transportation barriers: Patients without reliable transportation miss preventive screenings, follow-up appointments, and medication pickups at measurably higher rates than those with access.
The distributional pattern is consistent: HRSNs concentrate in populations already facing structural disadvantage, including older adults, people with disabilities, rural residents, and communities of color. Programs that screen only in well-resourced settings will systematically miss the highest-need patients.
Measurable effects on utilization include higher emergency department visit rates, avoidable hospitalizations, and worse chronic disease control metrics among patients with unaddressed social needs. Addressing those needs through referral and care coordination is not a social service add-on. It is a clinical intervention with measurable utilization and outcome effects.
Screening tools, sample questions, Z-codes, and data sources
Reliable HRSN measurement requires standardized tools, consistent documentation, and a clear data pathway from screening to referral to outcome tracking. Three instruments dominate U.S. clinical practice.
| Tool | Provenance | Typical Use Case |
|---|---|---|
| PRAPARE | National Association of Community Health Centers (NACHC) | FQHCs, community health centers; maps to UDS reporting |
| AHC HRSN Screening Tool | CMS Innovation Center | Accountable Health Communities model; Medicare/Medicaid beneficiaries |
| CDC PLACES measures | CDC | Population-level surveillance; community health needs assessments |
PRAPARE and the AHC HRSN screening tool are the two most widely implemented instruments in U.S. clinical settings for documenting individual social needs and generating standardized data for referrals and population health work. PRAPARE is particularly common in Federally Qualified Health Centers (FQHCs) because its data fields align with Uniform Data System (UDS) reporting requirements. The AHC tool was developed specifically for the CMS Accountable Health Communities model and covers five core domains: housing instability, food insecurity, transportation problems, utility needs, and interpersonal safety.
Sample screening language for core domains:
- Food: “In the past 12 months, did you worry that your food would run out before you had money to buy more?”
- Housing: “Are you worried about losing your housing in the next 2 months?”
- Transportation: “In the past 12 months, has a lack of reliable transportation kept you from medical appointments, meetings, work, or from getting things needed for daily living?”
- Social isolation: “How often do you feel lonely or isolated from those around you?”
ICD-10 Z-codes are the documentation mechanism that connects screening findings to the medical record and payer reporting. Z55–Z65 codes cover social determinants including education, employment, housing, food, and social environment. Z-code use allows programs to track HRSN prevalence in their patient population, support quality reporting, and demonstrate need for value-based care arrangements. WellCheck’s Z-code guidance for healthcare professionals covers current coding conventions and payer-specific considerations.
For a comprehensive review of SDoH screening tools and how they align with CMS recommendations, WellCheck’s 2026 guide covers selection criteria, implementation considerations, and documentation requirements.
Pro Tip: Do not deploy a screening tool before confirming your referral pathways. The AHC HRSN companion guidance from CMS explicitly warns that programs without referral capacity enter “screen-and-forget” cycles, where identified needs generate no response. Screening creates an obligation to act.
How programs respond to identified HRSNs
Screening is the starting point, not the intervention. Effective HRSN response requires a defined workflow from identification through service delivery confirmation, with documentation at every step.
Core clinical workflow:
- Screen — administer PRAPARE or AHC HRSN tool at intake or annual visit
- Triage — prioritize needs by patient preference, urgency, and available resources
- Refer — send a warm or electronic referral to a community-based organization or social service provider
- Track — monitor referral status through partner confirmation or follow-up contact
- Close the loop — document service receipt or reason for non-completion
- Report outcomes — aggregate data for funder reporting, quality metrics, and program improvement
The closed-loop referral workflow is what separates programs that produce measurable outcomes from those that generate screening data with no downstream accountability. Closing the loop means confirming that a referred patient actually received the service, not just that a referral was sent.
Partnership assessment before scaling:
- Map each community partner’s intake process, capacity limits, and response time
- Confirm data-sharing agreements and consent protocols before sending referrals
- Assess partner ability to report back on service delivery (the “closed loop” confirmation)
- Identify backup partners for high-demand categories like housing and food
Metrics to track:
- Referral completion rate (referrals confirmed received by partner / total referrals sent)
- Closed-loop confirmation rate (service delivery confirmed / referrals completed)
- Time from screening to referral, and referral to service receipt
- Utilization changes in target population (ED visits, hospitalizations, missed appointments)
For practical strategies on managing referrals and community partnerships at scale, WellCheck’s community case management guide covers operational approaches that apply across FQHC, AHEC, and local health department settings.
Pro Tip: Assess partner capacity before you scale referral volume. Sending 200 housing referrals per month to a partner with capacity for 40 does not help patients. It damages the partnership and inflates your referral-sent numbers while your closed-loop completion rate collapses. Map capacity first, then set referral volume accordingly.
Evidence that closed-loop referral systems improve outcomes
The evidence base for closed-loop referral management as an operational model is growing. Programs that link screening to structured referral tracking and service delivery confirmation consistently outperform those that screen without follow-through.
| Metric | Reported Value | Source |
|---|---|---|
| Closed-loop completion rate | 93.9% | WellCheck / EquiLoop platform data |
| Individuals screened | 22,682 | WellCheck / EquiLoop platform data |
| Services delivered | 45,458 | WellCheck / EquiLoop platform data |
WellCheck’s EquiLoop platform documents a 93.9% closed-loop completion rate across 22,682 individuals screened and 45,458 services delivered, a performance benchmark that reflects both the technology infrastructure and the partner readiness work required to sustain it. That figure is meaningful to funders and health departments because it demonstrates that referrals are not disappearing into a gap between clinical identification and community service.
Peer-reviewed evidence supports the model. Programs using structured referral tracking with community-based organizations have shown reductions in avoidable emergency department use among high-need patients, particularly those with housing instability and food insecurity. The mechanism is straightforward: when a patient’s social need is identified, referred, and confirmed as addressed, the downstream clinical burden decreases.
Implementation lessons from programs with strong closed-loop performance:
- Digital tracking is more reliable than manual follow-up at any volume above a few dozen referrals per month
- Partner capacity checks before launch prevent the referral-volume mismatch that collapses completion rates
- Funder-ready reporting requires that outcome data be structured from the start, not reconstructed after the fact
For programs evaluating healthcare referral management software, the key capability to assess is whether the platform closes the loop automatically through partner confirmation or requires manual data entry at every step.
U.S. policy and payer context shaping HRSN work
CMS has made HRSN a formal priority within its value-based care and innovation frameworks. The CMS Innovation Center’s Accountable Health Communities (AHC) model was the first large-scale federal test of whether systematically screening for and addressing health-related social needs could reduce health care costs and utilization. CMS guidance now explicitly references HRSN as a distinct category from SDOH, with its own screening tools, coding conventions, and reporting expectations.
Practical implications for programs operating under CMS-aligned contracts or Medicaid managed care arrangements:
- Screening tool alignment: CMS-funded programs are expected to use validated instruments. The AHC HRSN tool and PRAPARE are the two most commonly referenced in federal guidance.
- Z-code documentation: Payers increasingly expect ICD-10 Z-code use for social needs documentation. Some Medicaid managed care organizations now require Z-codes as a condition of reimbursement for care coordination services.
- Closed-loop reporting: CMS and other funders expect programs to demonstrate not just that screening occurred but that referrals were completed and outcomes tracked. Funder-ready reporting infrastructure is a program requirement, not an optional enhancement.
- Medicare preventive services: Medicare health risk assessments increasingly incorporate social needs screening questions, creating an entry point for HRSN identification in older adult populations.
Statistic: Up to 1 in 4 older adults experience significant social isolation, a prevalence rate that makes Medicare-linked screening encounters a high-yield opportunity for HRSN identification.
State Medicaid agencies have moved at different speeds on HRSN integration, but the direction is consistent: programs that cannot produce structured outcome data tied to social needs referrals will face increasing difficulty justifying funding. WellCheck’s overview of SDoH screening mandates tracks current regulatory expectations and helps programs align their workflows to funder requirements before contracts are signed.
Key Takeaways
Health-related social needs are individual-level barriers, distinct from community-level SDOH, and require clinical screening, structured referral, and closed-loop tracking to produce measurable outcomes.
| Point | Details |
|---|---|
| HRSN definition | Individual social or economic barriers that limit a person’s ability to maintain health and access care, per CMS guidance. |
| HRSN vs. SDOH | HRSN are individual-level and trigger clinical referrals; SDOH are structural and require community or policy responses. |
| Standard screening tools | PRAPARE and the AHC HRSN Screening Tool are the two primary validated instruments for U.S. clinical settings. |
| Closed-loop referral | Screening without referral tracking produces no measurable outcome; closed-loop confirmation is the operational standard. |
| Policy alignment | CMS and Medicaid funders expect Z-code documentation, validated screening tools, and structured outcome reporting. |
The gap between screening and actually helping someone
The field has made real progress on the definition side. CMS has a clear HRSN framework. PRAPARE and the AHC tool give programs validated instruments. ICD-10 Z-codes give clinicians a documentation pathway. What has not kept pace is the operational infrastructure between the screening question and the confirmed service delivery.
The most common failure mode is not a bad screening tool or a poorly trained community health worker. It is a referral that gets sent and never confirmed. A patient who screens positive for food insecurity gets a referral to a food pantry, the referral goes into a spreadsheet or a fax queue, and no one follows up to confirm the patient actually got food. The screening data looks complete. The patient’s need is not addressed.
Three things programs that close this gap consistently do differently: they assess partner capacity before they send referrals, they use digital tracking that requires a confirmation step rather than assuming completion, and they build funder reporting from the data structure they set up at launch rather than trying to reconstruct it at grant renewal. The 93.9% closed-loop completion rate WellCheck documents with EquiLoop is not a product claim in isolation. It reflects what happens when all three of those conditions are met at program design, not patched in afterward.
For any clinic or health department beginning HRSN work: start with one screening domain, one referral partner, and a tracking mechanism that requires a confirmation before the loop is marked closed. Expand from there.
Authoritative sources and implementation resources
The following resources are the primary references for HRSN definition, screening, coding, and program implementation in the U.S.
- CMS Social Drivers of Health and HRSN page — The federal definitional authority for HRSN. Use this for program documentation, grant applications, and any context requiring a citable federal definition.
- CDC PLACES: Health-Related Social Needs measures — Population-level prevalence data for seven HRSN-related factors, including social isolation, food insecurity, and transportation barriers. Use for community health needs assessments and program targeting.
- PRAPARE (Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences) — Developed by the National Association of Community Health Centers. The standard screening instrument for FQHCs; aligns with UDS reporting. Available through NACHC.
- AHC HRSN Screening Tool — Developed by the CMS Innovation Center for the Accountable Health Communities model. Covers five core domains. The AHC companion guide includes implementation guidance and referral workflow recommendations.
- Camden Coalition: Significance of Health-Related Social Needs — Practical framing of social needs as day-to-day requirements affecting physical, emotional, and mental well-being, with supporting evidence from NIH and related literature.
- WellCheck EquiLoop™ — Closed-loop referral platform with documented 93.9% completion rate across 22,682 individuals screened. Use for programs requiring funder-ready reporting and digital referral tracking.
- WellCheck SDoH Screening Tools Guide — Comparative review of screening instruments with CMS alignment notes and implementation considerations.
- WellCheck Z-Code Guide — Current ICD-10 Z-code conventions for social needs documentation, with payer-specific reporting guidance.
- WellCheck Digital SDoH Assessment — Description of digital assessment workflows for capturing HRSNs at the point of care or in community settings.