Social Needs, Chronic Conditions, and Health Care Utilization among Medicaid Beneficiaries

A community engagement program to improve awareness for credible online health information

Background

The volume of online health information available makes it difficult to navigate and check its validity and reliability. A community-based MedlinePlus training program was developed to improve participants' ability to access credible online health information.

Case Presentation

The program was a public-private partnership between a managed care organization and four local public libraries. A total of eight programs were held between October and November 2017. Each program had a 30-minute cooking demonstration followed by a 30-minute training on access to and navigation of the MedlinePlus website. Program participants were Medicaid beneficiaries, dually eligible for Medicare and Medicaid beneficiaries, and community members from a Pennsylvania county (n=39). A pre-and post-training questionnaire was administered to assess participants' knowledge and practice, and their ability to access health information on the MedlinePlus website. We conducted a retrospective analysis of the data collected during the MedlinePlus trainings. Results from the Wilcoxon Signed Rank test indicated no statistically significant change in participants' ability to access information (Z= -1.41, p=0.16) after attending the program.

Conclusion

Although the median pre- to post-program responses improved from 'incorrect' to 'correct,' the number of programs held, and low attendance might be the reason for non-significant results. Participants reported that the program was informative, the website was comprehensive and user-friendly, and they were impressed by the healthy and inexpensive meal preparation from discount store-bought food. Holding MedlinePlus training programs in conjunction with a cooking program and collaborating with local public libraries might be a promising format that needs additional research.

Affordable Care Act Medicaid expansion, access to health care, and financial behavior of the United States adults

The access to care benefits of Affordable Care Act (ACA) Medicaid expansions are important for 45-64-year-old adults who are living below 100% of the Federal Poverty Level, a particularly vulnerable group in the United States (US). Gaining coverage from Medicaid expansions should improve access to healthcare and affect social determinants of health, including financial behavior. We analyzed data from 2009 to 2018 from the National Financial Capability Survey (NFCS) and utilize a difference-in-differences model to compare outcomes changes in states with and without expansion before and after the ACA Medicaid expansions. Overall, Medicaid expansion was associated with increased healthcare access for 45-64-year-olds, potentially resulting in better healthcare experience. Results indicate effects of the Medicaid expansion on the financial behavior of 45-64-year-olds, with evidence of credit card bills being paid in full, higher banking activities, and better financial preparedness. These findings have important implications for financial regulators and healthcare policymakers.

Patterns of Social Needs Predict Quality-of-Life and Healthcare Utilization Outcomes in Patients from a Large Hospital System

BACKGROUND

Unmet social needs (SNs) often coexist in distinct patterns within specific population subgroups, yet these patterns are understudied.

OBJECTIVE

To identify patterns of social needs (PSNs) and characterize their associations with health-related quality-of-life (HRQoL) and healthcare utilization (HCU).

DESIGN

Observational study using data on SNs screening, HRQoL (i.e., low mental and physical health), and 90-day HCU (i.e., emergency visits and hospital admission). Among patients with any SNs, latent class analysis was conducted to identify unique PSNs. For all patients and by race and age subgroups, compared with no SNs, we calculated the risks of poor HRQoL and time to first HCU following SNs screening for each PSN.

PATIENTS

Adult patients undergoing SNs screening at the Mass General Brigham healthcare system in Massachusetts, United States, between March 2018 and January 2023.

MAIN MEASURES

SNs included: education, employment, family care, food, housing, medication, transportation, and ability to pay for household utilities. HRQoL was assessed using the Patient-Reported Outcomes Measurement Information System Global-10.

KEY RESULTS

Six unique PSNs were identified: "high number of social needs," "food and utility access," "employment needs," "interested in education," "housing instability," and "transportation barriers." In 14,230 patients with HRQoL data, PSNs increased the risks of poor mental health, with risk ratios ranging from 1.07(95%CI:1.01-1.13) to 1.80(95%CI:1.74-1.86). Analysis of poor physical health yielded similar findings, except that the "interested in education" showed a mild protective effect (0.97[95%CI:0.94-1.00]). In 105,110 patients, PSNs increased the risk of 90-day HCU, with hazard ratios ranging from 1.09(95%CI:0.99-1.21) to 1.70(95%CI:1.52-1.90). Findings were generally consistent in subgroup analyses by race and age.

CONCLUSIONS

Certain SNs coexist in distinct patterns and result in poorer HRQoL and more HCU. Understanding PSNs allows policymakers, public health practitioners, and social workers to identify at-risk patients and implement integrated, system-wide, and community-based interventions.

A Randomized Controlled Trial Testing the Effects of a Social Needs Navigation Intervention on Health Outcomes and Healthcare Utilization among Medicaid Members with Type 2 Diabetes

Health systems are increasingly assessing and addressing social needs with referrals to community resources. The objective of this randomized controlled trial was to randomize adult Medicaid members with type 2 diabetes to receive usual care (n = 239) or social needs navigation (n = 234) for 6 months and compare HbA1c (primary outcome), quality of life (secondary outcome), and other exploratory outcomes with t-tests and mixed-effects regression. Eligible participants had an HbA1c test in claims in the past 120 days and reported 1+ social needs. Data were collected from November 2019 to July 2023. Surveys were completed at baseline and at 3-, 6-, and 12-month follow-up. Health plan data included care management records and medical and pharmacy claims. The sample was from Louisiana, USA, M = 51.6 (SD = 9.5) years old, 76.1% female, 66.5% Black, 29.4% White, and 3.0% Hispanic. By design, more navigation (91.5%) vs. usual care (6.7%) participants had a care plan. Social needs persisted for both groups. No group differences in HbA1c tests and values were observed, though the large amount of missing HbA1c lab values reduced statistical power. No group differences were observed for other outcomes. Proactively eliciting and attempting to provide referrals and resources for social needs did not demonstrate significant health benefits or decrease healthcare utilization in this sample.

Advanced practice nurse case managers improve efforts by US hospitals to address patient social needs

AIMS

US hospitals are focussing more than ever on meeting important patient social needs. Patients often make multiple trips to hospitals related to nonmedical issues that could likely be averted through the increased integration of case management strategies. Although the percentage of hospitals using advanced practice nurses (APNs) in this role is still relatively low, we explore the idea that employing APN case managers improves hospitals' abilities to alleviate hospital overusage.

DESIGN

The study used a cross-sectional design.

METHODS

We used the 2021 American Hospital Association data set, which includes 5855 hospitals, of which 4315 were general medical hospitals.

RESULTS

Using descriptive statistics and Poisson regression, we discovered that employing APN case managers in US acute care hospitals is associated with an increased likelihood that hospitals will implement strategies addressing patient social needs.

CONCLUSIONS

When hospitals screen patients for social needs and formulate and implement internal and external strategies designed to meet patient social needs, many stakeholders stand to benefit. Should more hospitals observe such benefits when utilizing an APN case manager model, it will likely proliferate, and demand for APNs could accelerate further.

IMPACT

Following the reduction in unnecessary patient visits and readmissions, hospitals' scarce resources are freed up to offer timely care to patients that are truly medically in need. Furthermore, financial performance improves under this scenario. APNs play a critical role in enabling hospitals to realize such benefits.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution. We used archival data in this study.

Understanding social needs screening and demographic data collection in primary care practices serving Maryland Medicare patients

BACKGROUND

Health outcomes are strongly impacted by social determinants of health, including social risk factors and patient demographics, due to structural inequities and discrimination. Primary care is viewed as a potential medical setting to assess and address individual health-related social needs and to collect detailed patient demographics to assess and advance health equity, but limited literature evaluates such processes.

METHODS

We conducted an analysis of cross-sectional survey data collected from n = 507 Maryland Primary Care Program (MDPCP) practices through Care Transformation Requirements (CTR) reporting in 2022. Descriptive statistics were used to summarize practice responses on social needs screening and demographic data collection. A stepwise regression analysis was conducted to determine factors predicting screening of all vs. a targeted subset of beneficiaries for unmet social needs.

RESULTS

Almost all practices (99%) reported conducting some form of social needs screening and demographic data collection. Practices reported variation in what screening tools or demographic questions were employed, frequency of screening, and how information was used. More than 75% of practices reported prioritizing transportation, food insecurity, housing instability, financial resource strain, and social isolation.

CONCLUSIONS

Within the MDPCP program there was widespread implementation of social needs screenings and demographic data collection. However, there was room for additional supports in addressing some challenging social needs and increasing detailed demographics. Further research is needed to understand any adjustments to clinical care in response to identified social needs or application of data for uses such as assessing progress towards health equity and the subsequent impact on clinical care and health outcomes.

What Do Medicaid Members Want From Their Health Plan? Insights From a Qualitative Study to Improve Engagement in Case Management

PURPOSE OF STUDY

Managed care organizations (MCOs) provide case management services to address unmet health and social needs among their members. Few studies have examined factors influencing members' decision to participate in these programs. The purpose of the present study was to describe the life circumstances of Medicaid members offered case management, what they wanted from their MCO, and their perceptions of case management and barriers to participation. Results will inform practice to raise the awareness, engagement, and impact of case management programs.

PRIMARY PRACTICE SETTINGS

Case management offered through a Midwestern Medicaid MCO.

METHODOLOGY AND SAMPLE

Adult members who had been offered case management services in the 6 months preceding the study were eligible for the study. Fifteen people from each strata were recruited: members who engaged with case management, declined it, or declined it initially but later engaged (N = 45). Participants completed a qualitative interview by phone and a brief health survey online.

RESULTS

Across strata, only 22 participants recalled engagement with case management. Members described a variety of life challenges (e.g., chronic health conditions, caregiver responsibilities, and limited finances) and services they desired from their MCO (e.g., stipends for over-the-counter health expenses, improved transportation services, and caregiver assistance). Participants identified direct communication, emotional support, and referrals for resources as benefits of case management.

Unmet Social Needs and Breast Cancer Screening Utilization and Stage at Presentation

Importance

Unmet social needs in local populations may hinder the development of targeted cancer control interventions aimed at improving screening utilization and early-stage breast cancer diagnosis to ultimately improve breast cancer survival disparities.

Objective

To evaluate if (1) city-funded screening mammography is associated with utilization of screening mammography, (2) unmet social needs are associated with utilization of screening mammography, and (3) unmet social needs are associated with later-stage disease at diagnosis.

Design, Setting, and Participants

This cohort study included patients with stages I-IV invasive ductal or lobular carcinoma treated at an academic medical center (including both an underserved safety-net hospital [SNH] and a National Cancer Institute-designated academic cancer center [ACC]) from 2020 to 2023. Eligible patients were aged 18 years or older and able to consent. Data were analyzed between July 2023 and September 2023.

Exposure

The Health Leads Social Needs Screening Toolkit, a screening tool that gathers information on the most common social need domains affecting patient health.

Main Outcomes and Measures

Univariable and multivariable logistic regression was utilized to evaluate the following primary outcomes: (1) routine screening mammography and (2) American Joint Committee on Cancer 8th edition clinical stage at presentation.

Results

Of the 322 women who completed the Health Leads Social Needs Screening Toolkit, 201 (62%) self-identified as Hispanic, 63 (19%) as non-Hispanic Black, and 63 (19%) as non-Hispanic White. Two hundred fifty-five (76%) patients with access to city-funded screening mammography completed a screening mammogram. Patients who presented to the SNH were more likely to present with late-stage disease compared with early-stage disease (15 of 48 [31%] vs 50 of 274 [18%]; P = .04). On multivariable logistic regression, not completing a screening mammography was associated with having an increasing number of unmet social needs (OR, 0.74; 95% CI, 0.55-0.99; P = .047) and an increasing age at diagnosis (OR, 0.92; 95% CI, 0.89-0.96; P < .001). Moreover, increasing unmet social needs was significantly associated with late-stage diagnosis above and beyond screening mammography (OR, 1.38; 95% CI, 1.01-1.89; P = .04).

Conclusions and Relevance

In this cohort study, access to screening mammography did not translate to utilization of screening mammography, increasing unmet social needs were significantly associated with lower rates of screening mammography, and those with increasing unmet social needs were more likely to present with late-stage disease. This association transcended recruitment site (SNH vs ACC), indicating that patients in either hospital setting may benefit from unmet social needs screening to overcome access to care barriers associated with late-stage disease at diagnosis.

Learning in real world practice: Identifying implementation strategies to integrate health-related social needs screening within a large health system

Introduction

Health systems have many incentives to screen patients for health-related social needs (HRSNs) due to growing evidence that social determinants of health impact outcomes and a new regulatory context that requires health equity measures. This study describes the experience of one large urban health system in scaling HRSN screening by implementing improvement strategies over five years, from 2018 to 2023.

Methods

In 2018, the health system adapted a 10-item HRSN screening tool from a widely used, validated instrument. Implementation strategies aimed to foster screening were retrospectively reviewed and categorized according to the Expert Recommendations for Implementing Change (ERIC) study. Statistical process control methods were utilized to determine whether implementation strategies contributed to improvements in HRSN screening activities.

Results

There were 280,757 HRSN screens administered across 311 clinical teams in the health system between April 2018 and March 2023. Implementation strategies linked to increased screening included integrating screening within an online patient portal (ERIC strategy: involve patients/consumers and family members), expansion to discrete clinical teams (ERIC strategy: change service sites), providing data feedback loops (ERIC strategy: facilitate relay of clinical data to providers), and deploying Community Health Workers to address HRSNs (ERIC strategy: create new clinical teams).

Conclusion

Implementation strategies designed to promote efficiency, foster universal screening, link patients to resources, and provide clinical teams with an easy-to-integrate tool appear to have the greatest impact on HRSN screening uptake. Sustained increases in screening demonstrate the cumulative effects of implementation strategies and the health system's commitment toward universal screening.

Mental health and substance use disorders at delivery hospitalization and readmissions after delivery discharge

BACKGROUND

The objective was to assess mental health and substance use disorders (MSUD) at delivery hospitalization and readmissions after delivery discharge.

METHODS

This is a population-based retrospective cohort study of persons who had a delivery hospitalization during January to September in the 2019 Nationwide Readmissions Database. We calculated 90-day readmission rates for MSUD and non-MSUD, overall and stratified by MSUD status at delivery. We used multivariable logistic regressions to assess the associations of MSUD type, patient, clinical, and hospital factors at delivery with 90-day MSUD readmissions.

RESULTS

An estimated 11.8% of the 2,697,605 weighted delivery hospitalizations recorded MSUD diagnoses. The 90-day MSUD and non-MSUD readmission rates were 0.41% and 2.9% among delivery discharges with MSUD diagnoses, compared to 0.047% and 1.9% among delivery discharges without MSUD diagnoses. In multivariable analysis, schizophrenia, bipolar disorder, stimulant-related disorders, depressive disorders, trauma- and stressor-related disorders, alcohol-related disorders, miscellaneous mental and behavioral disorders, and other specified substance-related disorders were significantly associated with increased odds of MSUD readmissions. Three or more co-occurring MSUDs (vs one MSUD), Medicare or Medicaid (vs private) as the primary expected payer, lowest (vs highest) quartile of median household income at residence zip code level, decreasing age, and longer length of stay at delivery were significantly associated with increased odds of MSUD readmissions.

CONCLUSION

Compared to persons without MSUD at delivery, those with MSUD had higher MSUD and non-MSUD 90-day readmission rates. Strategies to address MSUD readmissions can include improved postpartum MSUD follow-up management, expanded Medicaid postpartum coverage, and addressing social determinants of health.

The Social Determinants of Health and Their Impact on Dermatologic Health, Part 2: Taking Action to Address the Social Determinants of Health

The social determinants of health (SDoH) impact health and lead to health disparities in a variety of complex and intersecting ways. They are the nonmedical factors that must be addressed to improve health outcomes and achieve greater health equity. The SDoH contribute to dermatologic health disparities and decreasing these disparities requires multilevel action. Part 2 of this 2-part review offers a framework that dermatologists can use to help address the SDoH both at the point of care and in the health care system at large.

Association of Social Needs and Healthcare Utilization Among Medicare and Medicaid Beneficiaries in the Accountable Health Communities Model

BACKGROUND

Integration of health-related social needs (HRSNs) data into clinical care is recognized as a driver for improving healthcare. However, few published studies on HRSNs and their impact are available. CMS sought to fill this gap through the Accountable Health Communities (AHC) Model, a national RCT of HRSN screening, referral, and navigation. Data from the AHC Model could significantly advance the field of HRSN screening and intervention in the USA.

OBJECTIVE

To present data from the Greater Houston AHC (GH-AHC) Model site on HRSN frequency and the association between HRSNs, sociodemographic factors, and self-reported ED utilization using a cross-sectional design. Analyses included descriptive statistics and multinomial logistic regression.

PARTICIPANTS (OR PATIENTS OR SUBJECTS)

All community-dwelling Medicare, Medicaid, or dually covered beneficiaries at participating GH-AHC clinical delivery sites were eligible.

MAIN MEASURES

Self-reported ED utilization in the previous 12 months served as the outcome; demographic characteristics including race, ethnicity, age, sex, income, education level, number of people living in the household, and insurance type were treated as covariates. HRSNs included food insecurity, housing instability, transportation, difficulty paying utility bills, and interpersonal safety. Clinical delivery site type was used as the clustering variable.

KEY RESULTS

Food insecurity was the most common HRSN identified (38.7%) followed by housing instability (29.0%), transportation (28.0%), and difficulty paying utility bills (26.7%). Interpersonal safety was excluded due to low prevalence. More than half of the beneficiaries (56.9%) reported at least one of the four HRSNs. After controlling for covariates, having multiple co-occurring HRSNs was strongly associated with increased risk of two or more ED visits (OR 1.8-9.47 for two to four needs, respectively; p < 0.001). Beneficiaries with four needs were at almost 10 times higher risk of frequent ED utilization (p < 0.001).

CONCLUSIONS

To our knowledge, this is only the second published study to report screening data from the AHC Model. Future research focused on the impact of multiple co-occurring needs on health outcomes is warranted.

Social Needs Are Associated With Greater Anticipated Needs During an Emergency and Desire for Help in Emergency Preparedness Planning

OBJECTIVE

Most emergency preparedness planning seeks to identify vulnerable population subgroups; however, focusing on chronic conditions alone may ignore other important characteristics such as location and poverty. Social needs were examined as correlates of anticipated needs and desire for assistance during an emergency.

METHODS

A retrospective, secondary analysis was conducted using assessments of 8280 adult Medicaid beneficiaries in Louisiana, linked with medical (n = 7936) and pharmacy claims (n = 7473).

RESULTS

The sample was 73% female; 47% Black; 34% White; mean age 41 y. Many had at least 1 chronic condition (75.9%), prescription (90.3%), and social need (45.2%). Across assessments, many reported food (40%), housing (34%), and transportation (33%) needs. However, far more people anticipated social needs during an emergency than in the next month. Having social needs increased the odds of anticipating any need (odds ratio [OR] = 1.5, 1.44-1.56) and desire for assistance during an emergency, even after controlling for significant covariates including older age, race, geographic region, Medicaid plan type, and prescriptions. Chronic conditions were significantly correlated with all anticipated needs in bivariate analyses, but only modestly associated (OR = 1.03, 1.01-1.06) with anticipated medication needs in multivariable analyses.

CONCLUSIONS

Identifying individuals with social needs, independent of their chronic disease status, will benefit emergency preparedness outreach efforts.

2021 SAEM Consensus Conference Proceedings: Research Priorities for Developing Emergency Department Screening Tools for Social Risks and Needs

Introduction: The Emergency Department (ED) acts as a safety net for our healthcare system. While studies have shown increased prevalence of social risks and needs among ED patients, there are many outstanding questions about the validity and use of social risks and needs screening tools in the ED setting. Methods: In this paper, we present research gaps and priorities pertaining to social risks and needs screening tools used in the ED, identified through a consensus approach informed by literature review and external expert feedback as part of the 2021 SAEM Consensus Conference -- From Bedside to Policy: Advancing Social Emergency Medicine and Population Health. Results: Four overarching research gaps were identified: (1) Defining the purpose and ethical implications of ED-based screening; (2) Identifying domains of social risks and needs; (3) Developing and validating screening tools; and (4) Defining the patient population and type of screening performed. Furthermore, the following research questions were determined to be of highest priority: (1) What screening tools should be used to identify social risks and needs? (2) Should individual EDs use a national standard screening tools or customized screening tools? (3) What are the most prevalent social risks and needs in the ED? and (4) Which social risks and needs are most amenable to intervention in the ED setting? Conclusion: Answering these research questions will facilitate the use of evidence-based social risks and needs screening tools that address knowledge gaps and improve the health of our communities by better understanding the underlying determinants contributing to their presentation and health outcomes.

Impact of Social Needs in Electronic Health Records and Claims on Health Care Utilization and Costs Risk-Adjustment Models Within Medicaid Population

Patients enrolled in Medicaid have significantly higher social needs (SNs) than others. Using claims and electronic health records (EHRs) data, managed care organizations (MCOs) could systemically identify high-risk patients with SNs and develop population health management interventions. Impact of SNs on models predicting health care utilization and costs was assessed. This retrospective study included claims and EHRs data on 39,267 patients younger than age 65 years who were continuously enrolled during 2018-2019 in a Medicaid-managed care plan. SN marker was developed suggesting presence of International Classification of Diseases, 10th revision codes in any of the 5 SN domains. Impact of SN marker was compared across demographic and 2 diagnosis-based (ie, Charlson and Adjusted Clinical Groups risk score) prediction models of emergency department (ED) visit and hospitalizations, and total, medical, and pharmacy costs. After combining data sources, prevalence of documented SN marker increased from 11% and 13% to 18% of the study population across claims, EHRs, and both combined, respectively. SN marker improved predictions of demographic models for all utilization and total costs outcomes (area under the curve [AUC] of ED model increased from 0.57 to 0.61 and R² of total cost model increased from 10.9 to 12.2). In both diagnosis-based models, adding SN marker marginally improved outcomes prediction (AUC of ED model increased from 0.65 to 0.66). This study demonstrated feasibility of using claims and EHRs data to systematically capture SNs and incorporate in prediction models that could enable MCOs and policy makers to adjust and develop effective population health interventions.

Predicting health-related social needs in Medicaid and Medicare populations using machine learning

Providers currently rely on universal screening to identify health-related social needs (HRSNs). Predicting HRSNs using EHR and community-level data could be more efficient and less resource intensive. Using machine learning models, we evaluated the predictive performance of HRSN status from EHR and community-level social determinants of health (SDOH) data for Medicare and Medicaid beneficiaries participating in the Accountable Health Communities Model. We hypothesized that Medicaid insurance coverage would predict HRSN status. All models significantly outperformed the baseline Medicaid hypothesis. AUCs ranged from 0.59 to 0.68. The top performance (AUC = 0.68 CI 0.66–0.70) was achieved by the “any HRSNs” outcome, which is the most useful for screening prioritization. Community-level SDOH features had lower predictive performance than EHR features. Machine learning models can be used to prioritize patients for screening. However, screening only patients identified by our current model(s) would miss many patients. Future studies are warranted to optimize prediction of HRSNs.

Health and Health Care Use Strongly Associated with Cumulative Burden of Social Determinants of Health

Understanding health outcomes and patterns of health care utilization associated with patients' cumulative social determinant of health (SDOH) risk is essential to supporting better health care. This study compared mental and physical health outcomes and health care utilization by increasing number of social needs among a clinical adult population. Surveys were sent to 6000 patients with recent visits to 7 primary care clinics in Portland, Oregon in 2018. The final study sample included respondents who matched to medical claims data, N = 1748. The authors used a modified logistic regression model to estimate risk ratios for the relationship between cumulative SDOH factors and self-reported chronic conditions, and a 2-part model to estimate the effects of cumulative SDOH risk on health care utilization. Increased SDOH need was associated with increasing likelihood of worse self-reported health outcomes, especially mental health. Compared with those with no SDOH need, having 1-2 SDOH need(s) (adjusted risk ratio [aRR] 1.25; 95% confidence interval [CI]: 1.06-1.46) and 3 or more SDOH needs (aRR 1.45; 95% CI: 1.22-1.73) had a greater risk of reporting any behavioral health condition. However, the number of SDOH had a graded but inverse impact on use of mental health care services where fewer visits were observed among those using care. Having SDOH was associated with increased likelihood of having an emergency department visit and increased number of primary care visits. This study demonstrates the compounding impact of SDOH on health and health care use. This highlights the importance of collecting SDOH, including the total number of SDOH needs, when considering a patient's health and health care.