A Review of Tools to Screen for Social Determinants of Health in the United States: A Practice Brief

Screening tools for employment in clinical healthcare delivery systems: a content analysis

BACKGROUND

The relationship between work and health is complex and bidirectional, where work can have both health-harming and health-enhancing effects. Though employment is recognized as a social determinant of health, and clinical healthcare delivery systems are increasingly using screening tools to ask patients about social needs, little research has explored the extent to which employment-related social risk is captured in these screening tools. This study aimed to identify and characterize employment- and work-related questions in social risk screening tools that have been implemented in clinical healthcare delivery systems.

METHODS

We conducted a qualitative content analysis of employment-related items in screening tools that have been implemented in clinical healthcare service delivery systems. Three content areas guided data extraction and analysis: Setting, Domain, and Level of Contextualization.

RESULTS

Screening tools that asked employment-related questions were implemented in settings that were diverse in the populations served and the scope of care provided. The intent of employment-related items focused on four domains: Social Risk Factor, Social Need, Employment Exposure, and Legal Need. Most questions were found to have a low Level of Contextualization and were largely focused on identifying an individual's employment status.

CONCLUSIONS

Several existing screening tools include measures of employment-related social risk, but these items do not have a clear purpose and range widely depending on the setting in which they are implemented. In order to maximize the utility of these tools, clinical healthcare delivery systems should carefully consider what domain(s) they aim to capture and how they anticipate using the screening tools to address social determinants of health.

Learning from the past: How lessons from Hinman syndrome can inform the psychological management of lower urinary tract dysfunction

INTRODUCTION

Pediatric patients with lower urinary tract dysfunction (LUTD) experience a variety of medical and psychosocial concerns that can negatively impact their clinical management and quality of life. When initially described by Drs Hinman and Baumann, patients with a form of severe LUTD, later dubbed Hinman syndrome, were characterized as having a "general attitude of being failures." While this mention was noteworthy as it incorporated an understanding of the interplay between psychological factors and urologic conditions, there have been delays in implementing psychological intervention as a standard of care in patients with LUTD broadly, and perhaps too keen of a focus on youth diagnosed with Hinman syndrome specifically.

METHODS

A non-systematic reviewed of LUTD related to psychological management was performed. Clinical recommendations were developed by a multicenter and multidisciplinary team of care providers with topic expertise.

OBJECTIVE

The aim of this paper is to propose a systems thinking paradigm for how to involve psychology, or psychological principles, across the spectrum of patients with LUTD with the hope of improving attention to specific aspects of care that may improve clinical management.

DISCUSSION

Children across the spectrum of LUTD are likely to benefit from psychological interventions and would benefit from such involvement early on to mitigate the impact of psychosocial concerns on medical outcomes. Pediatric psychologists are well-suited to identify and provide individualized care to patients in greatest need of intervention, such as through pre-procedural preparedness, addressing non-adherence, and with the use of evidence-based, targeted mental health interventions. Psychologists are also apt at implementing interventions while taking into consideration the severity of LUTD, in the context of the patient's psychological, developmental, cultural, familial, and social determinants of health considerations. Youth with severe forms of LUTD, such as Hinman syndrome, likely exemplify the challenges of LUTD that benefit from multidisciplinary intervention.

CONCLUSION

Medical and psychological collaboration are key to ensuring symptom mitigation and emotional support for patients across the entire spectrum of LUTD.

Beyond Birth Work: Addressing Social Determinants of Health With Community Perinatal Support Doulas

Adverse maternal and infant health outcomes among African Americans are increasingly recognized as indicators of a critical public health crisis in the United States. Research has found that stress is related to structural racism and the social determinants of health (SDOH) that cause avoidable, unfair inequities in resources, education, power, and opportunities across ethnic groups. This paper describes the SDOH needs and experiences of pregnant Black women from the perspective of doulas and Birthing Beautiful Communities (BBC) clients. The design was a qualitative description, using data collected over time (2017-2018, 2020-2021, and 2023). This study took place in Cleveland and Akron, Ohio and the sample included 58 clients, 26 doulas, and 2 resource intake specialist assistants (RISAs). Qualitative data included individual client interviews, three doula focus groups, and one interview with two BBC RISAs. Three coders used content analysis to deductively identify SDOHs and calculate the number of interviews that contained information about specific SDOHs. Although the sample reported issues with all SDOH, particular ones caused a cascade of SDOH effects. Transportation issues, for example, impeded women from being able to make it to work, doctor's appointments, and to purchase essential baby items (e.g., food, infant supplies). An inability to work-whether because of transportation challenges or pregnancy-related health complications-led to unstable housing and an inability to deal with transportation challenges. Many clients mentioned that housing was a major issue, with many clients experiencing housing instability. Implications include ensuring SDOH information is collected from a trusted source who can advocate and ensure access to a wide range of local resources, ensuring policies protect pregnant women from experiencing a cascade of SDOH that may contribute to continuing health disparate infant and maternal health outcomes in African American women.

Measures of nutrition status and health for weight-inclusive patient care: A narrative review

In healthcare, weight is often equated to and used as a marker for health. In examining nutrition and health status, there are many more effective markers independent of weight. In this article, we review practical and emerging clinical applications of technologies and tools used to collect non-weight-related data in nutrition assessment, monitoring, and evaluation in the outpatient setting. The aim is to provide clinicians with new ideas about various types of data to evaluate and track in nutrition care.

Development and content validation of a questionnaire to assess the social determinants of mental health in clinical practice

Introduction

There is growing consensus that consideration of the Social Determinants of Mental Health should be at the centre of mental health care provision. To facilitate this, a validated means to assess mental health service users' social contextual information is arguably needed. We therefore developed a questionnaire to assess the Social Determinants of Mental Health in clinical practice.

Methods

Our guideline-informed development consisted of three steps; i) construct and purpose definition, ii) initial item generation based on the literature, similar questionnaires, and a selection of the ICD-10, iii) evaluation, revision, and content validation of the questionnaire. Initially we developed 249 items that were reduced, revised, and validated in several stages to 73 items. Content validation of the questionnaire was achieved through surveys and focus groups including mental health care service users and professionals.

Results

The surveys and focus groups indicated the need for a standardised assessment of adverse social factors and highlighted that the benefits of such an assessment would be a more holistic approach to identifying and addressing fundamental factors involved in the development of mental health difficulties. Importantly, this study also revealed how any assessment of the Social Determinants of Mental Health must prioritise the assessed person having a central role in the process and control over their own data. The focus groups identified contradicting recommendations regarding the most suitable context to administer the questionnaire.

Discussion

The resulting questionnaire can be considered to be theoretically robust and partially validated. Future research is discussed.

The ASAM/AAAP Clinical Practice Guideline on the Management of Stimulant Use Disorder

The American Society of Addiction Medicine/American Academy of Addiction Psychiatry (ASAM/AAAP) Clinical Practice Guideline on the Management of Stimulant Use Disorder provides guidance on evidence-based strategies for the treatment of stimulant use disorders (StUDs), stimulant intoxication, and stimulant withdrawal, as well as secondary and tertiary prevention of harms associated with stimulant use. The Clinical Guideline Committee (CGC) comprised experts from ASAM and AAAP representing a range of clinical settings and patient populations. The guideline was developed following modified GRADE methodology. The process included a systematic literature review as well as several targeted supplemental searches. The CGC utilized Evidence to Decision tables to review available evidence and rate the strength of each recommendation. The clinical practice guideline was revised based on external stakeholder review. Key takeaways included: Contingency management represents the current standard of care for treatment of StUDs; Pharmacotherapies may be utilized off-label to treat StUDs; Acute stimulant intoxication can result in life-threatening complications that should be addressed in an appropriate level of care; Secondary and tertiary prevention strategies should be used to reduce harms related to risky stimulant use.

Social determinants of health correlations and resource usefulness at a Milwaukee free clinic for uninsured individuals: A cross-sectional study

Introduction

Addressing social determinants of health (SDOH) is fundamental to improving health outcomes. At a student-run free clinic, we developed a screening process to understand the SDOH needs and resource utilization of Milwaukee's uninsured population.

Methods

In this cross-sectional study, we screened adult patients without health insurance (N = 238) for nine traditional SDOH needs as well as their access to dental and mental health care between October 2021 and October 2022. Patients were surveyed at intervals greater than or equal to 30 days. We assessed correlations between SDOH needs and trends in patient-reported resource usefulness.

Results

Access to dental care (64.7%) and health insurance (51.3%) were the most frequently endorsed needs. We found significant correlations (P ≤ 0.05) between various SDOH needs. Notably, mental health access needs significantly correlated with dental (r = 0.41; 95% CI = 0.19, 0.63), medications (r = 0.51; 95% CI = 0.30, 0.72), utilities (r = 0.39; 95% CI = 0.17, 0.61), and food insecurity (r = 0.42; 95% CI = 0.19, 0.64). Food-housing (r = 0.55; 95% CI = 0.32, 0.78), housing-medications (r = 0.58; 95% CI = 0.35, 0.81), and medications-food (r = 0.53; 95% CI = 0.32, 0.74) were significantly correlated with each other. Longitudinal assessment of patient-reported usefulness informed changes in the resources offered.

Conclusions

Understanding prominent SDOH needs can inform resource offerings and interventions, addressing root causes that burden under-resourced patients. In this study, patient-reported data about resource usefulness prompted the curation of new resources and volunteer roles. This proof-of-concept study shows how longitudinally tracking SDOH needs at low-resource clinics can inform psychosocial resources.

Screening tools to address social determinants of health in the United States: A systematic review

The Centers for Medicare & Medicaid Services have mandated that hospitals implement measures to screen social determinants of health (SDoH). We sought to report on available SDoH screening tools. PubMed, Scopus, Web of Science, as well as the grey literature were searched (1980 to November 2023). The included studies were US-based, written in English, and examined a screening tool to assess SDoH. Thirty studies were included in the analytic cohort. The number of questions in any given SDoH assessment tool varied considerably and ranged from 5 to 50 (mean: 16.6). A total of 19 SDoH domains were examined. Housing (n = 23, 92%) and safety/violence (n = 21, 84%) were the domains assessed most frequently. Food/nutrition (n = 17, 68%), income/financial (n = 16, 64%), transportation (n = 15, 60%), family/social support (n = 14, 56%), utilities (n = 13, 52%), and education/literacy (n = 13, 52%) were also commonly included domains in most screening tools. Eighteen studies proposed specific interventions to address SDoH. SDoH screening tools are critical to identify various social needs and vulnerabilities to help develop interventions to address patient needs. Moreover, there is marked heterogeneity of SDoH screening tools, as well as the significant variability in the SDoH domains assessed by currently available screening tools.

Social Determinants of Health Screening in Type 1 Diabetes Management

Type 1 diabetes management is intricately influenced by social determinants of health. Economic status impacts access to vital resources like insulin and diabetes technology. Racism, social injustice, and implicit biases affect equitable delivery of care. Education levels affect understanding of self-care, leading to disparities in glycemic outcomes. Geographic location can limit access to health care facilities. Stressors from discrimination or financial strain can disrupt disease management. Addressing these social factors is crucial for equitable diabetes care, emphasizing the need for comprehensive strategies that go beyond medical interventions to ensure optimal health outcomes for all individuals with type 1 diabetes.

The Intersectionality of Food Insecurity, Job Insecurity, Healthcare Insecurity, and Mental Health Challenges in NYC Households During Covid-19

Our intersectional research explored food insecurity and job insecurity as predictors of healthcare insecurity and mental health challenges among households living in economic instability since the COVID19 pandemic began. The New York City COVID19 Research Team adapted a validated, web based, anonymous survey questionnaire using a Social Determinants of Health Framework. The study oversampled underserved populations with a total of 2,099 participants. We report strong associations between food insecurity and job insecurity among healthcare insecure households, and significant mental health challenges among food insecure and healthcare insecure households. This underscores the need for integrated social policies to protect underserved urban populations.

A virtual recruitment protocol promotes enrollment of underrepresented groups in a diabetes prevention trial

Strategies are needed to ensure greater participation of underrepresented groups in diabetes research. We examined the impact of a remote study protocol on enrollment in diabetes research, specifically the Pre-NDPP clinical trial. Recruitment was conducted among 2807 diverse patients in a safety-net healthcare system. Results indicated three-fold greater odds of enrolling in remote versus in-person protocols (AOR 2.90; P < 0.001 [95% CI 2.29-3.67]). Priority populations with significantly higher enrollment included Latinx and Black individuals, Spanish speakers, and individuals who had Medicaid or were uninsured. A remote study design may promote overall recruitment into clinical trials, while effectively supporting enrollment of underrepresented groups.

How legal problems are conceptualized and measured in healthcare settings: a systematic review

Legal problems encompass issues requiring resolution through the justice system. This social risk factor creates barriers in accessing services and increases risk of poor health outcomes. A systematic review of the peer-reviewed English-language health literature following the PRISMA guidelines sought to answer the question, how has the concept of patients' "legal problems" been operationalized in healthcare settings? Eligible articles reported the measurement or screening of individuals for legal problems in a United States healthcare or clinical setting. We abstracted the prevalence of legal problems, characteristics of the sampled population, and which concepts were included. 58 studies reported a total of 82 different measurements of legal problems. 56.8% of measures reflected a single concept (e.g., incarcerated only). The rest of the measures reflected two or more concepts within a single reported measure (e.g., incarcerations and arrests). Among all measures, the concept of incarceration or being imprisoned appeared the most frequently (57%). The mean of the reported legal problems was 26%. The literature indicates that legal concepts, however operationalized, are very common among patients. The variation in measurement definitions and approaches indicates the potential difficulties for organizations seeking to address these challenges.

Patient and Care Team Perspectives on Social Determinants of Health Screening in Primary Care: A Qualitative Study

Importance

Health systems in the US are increasingly screening for social determinants of health (SDOH). However, guidance incorporating stakeholder feedback is limited.

Objective

To examine patient and care team experiences in early implementation of SDOH screening in primary care.

Design, Setting, and Participants

This qualitative study included cross-sectional analysis of SDOH screenings during primary care visits from February 22 to May 10, 2022, primary care team member interviews from July 6, 2022, to March 8, 2023, and patient stakeholder engagement on June 30, 2022. The setting was a large southeastern US health care system. Eligible patients were aged 18 years or older with completed visits in primary care.

Exposure

Screening for SDOH in primary care.

Main outcomes and Measures

Multivariable logistic regression evaluated patient (eg, age, race and ethnicity) and care team characteristics (eg, practice type), and screening completeness. Interviews contextualized the quantitative analysis.

Results

There were 78 928 visits in practices conducting any SDOH screening. The population with visits had a mean (SD) age of 57.6 (18.1) years; 48 086 (60.9%) were female, 12 569 (15.9%) Black, 60 578 (76.8%) White, and 3088 (3.9%) Hispanic. A total of 54 611 visits (69.2%) were with a doctor of medicine and 13 035 (16.5%) with a nurse practitioner. Most had no SDOH questions answered (75 298 [95.4%]) followed by all questions (2976 [3.77%]). Logistic regression analysis found that clinician type, patient race, and primary payer were associated with screening likelihood: for clinician type, nurse practitioner (odds ratio [OR], 0.13; 95% CI, 0.03-0.62; P = .01) and physician assistant (OR, 3.11; 95% CI, 1.19-8.10; P = .02); for patient race, Asian (OR, 1.69; 95% CI, 1.25-2.28; P = .001); Black (OR, 1.49; 95% CI, 1.10-2.01; P = .009); or 2 or more races (OR, 1.48; 95% CI, 1.12-1.94; P = .006); and for primary payer, Medicaid (OR, 0.62; 95% CI, 0.48-0.80; P < .001); managed care (OR, 1.17; 95% CI, 1.07-1.29; P = .001); uninsured or with Access Health (OR, 0.26; 95% CI, 0.10-0.67; P = .005), and Tricare (OR, 0.71; 95% CI, 0.55-0.92; P = .01). Interview themes included barriers (patient hesitancy, time and resources for screening and referrals, and number of questions/content overlap) and facilitators (communication, practice champions, and support for patient needs).

Conclusions and Relevance

This qualitative study presents potential guidance regarding factors that could improve SDOH screening within busy clinical workflows.

Social determinants of health: critical consciousness as the core to collective impact

Social determinants of health have become widely recognized as important to overall health. Many areas of social determinants of health are growing from policy to reimbursement to the connecting of health and social care. The efforts around social determinants of health require reflection and awareness of structural issues. The work of Paulo Freire in critical consciousness provides guidance for how to engage in social determinants of health efforts. This manuscript offers a summary of the social determinants of health under the guidance of critical consciousness to build skills and interactions to promote social care to build toward health equity.

2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines

AIM

The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease."

METHODS

A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.

2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines

AIM

The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease."

METHODS

A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.

Development of an individual index of social vulnerability that predicts negative healthcare events: a proposed tool to address healthcare equity in primary care research and practice

PURPOSE

Socially disadvantaged patients may lack self-efficacy to navigate a complex health system making them vulnerable to healthcare inequity. We aimed to develop an Index of social vulnerability that predicts increased risk of negative healthcare events (e.g. emergency hospitalization), independent of chronic disease burden. The analysis illustrates the conceptual and practical steps leading to the development of a pragmatic Index of social vulnerability to limited healthcare self-efficacy.

METHODS

Using data from a 3-year cohort of 2507 adult primary care patients in Québec (Canada), we applied two complementary structural equation modelling approaches-Partial Least Squares Path Modelling (PLS-PM) and Multiple indicators and Multiple Causes (MIMIC) modelling-to identify a minimal set of social characteristics that could be summed into an Index related to limited healthcare self-efficacy. We then used logistic regression to determine if the Index predicted: hospital emergency department use; hospital admissions; unmet need for care, and others. We privileged parsimony over explanatory capacity in our analytic decisions to make the Index pragmatic for epidemiologic and clinical use.

RESULTS

The Individual Social Vulnerability Index is the weighted sum of five indicators: two indicators of social support; educational achievement; financial status; limited language proficiency. The Index predicts increased likelihood of all negative healthcare outcomes except unmet need, with a clear threshold at Index ≥ 2. The effect is independent of chronic disease burden.

CONCLUSION

When social deficits outweigh social assets by two or more (Index ≥ 2), there is an increased risk of negative healthcare events beyond the risk attributable to poor health. The Index is a pragmatic tool to identify a minority of patients who will require additional support to receive equitable healthcare.

The impact of screening for social risks on OBGYN patients and providers: A systematic review of current evidence and key gaps

BACKGROUND

Increasingly, policymakers and professional organizations support screening for social assets and risks during clinical care. Scant evidence exists on how screening impacts patients, providers, or health systems.

OBJECTIVE

To systematically review published literature for evidence of the clinical utility of screening for social determinants of health in clinical obstetric and gynecologic (OBGYN) care.

SEARCH STRATEGY

We systematically searched Pubmed (March 2022, 5,302 identified) and identified additional articles using hand sorting (searching articles citing key articles (273 identified) and through bibliography review (20 identified)).

SELECTION CRITERIA

We included all articles that measured a quantitative outcome of systematic social determinants of health (SDOH) screening in an OBGYN clinical setting. Each identified citation was reviewed by two independent reviewers at both the title/abstract and full text stages.

DATA COLLECTION AND ANALYSIS

We identified 19 articles for inclusion and present the results using narrative synthesis.

MAIN RESULTS

The majority of articles reported on SDOH screening during prenatal care (16/19) and the most common SDOH was intimate partner violence (13/19 studies). Overall, patients had favorable attitudes towards SDOH screening (in 8/9 articles measuring attitudes), and referrals were common following positive screening (range 5.3%-63.6%). Only two articles presented data on the effects of SDOH screening on clinicians and none on health systems. Three articles present data on resolution of social needs, with inconsistent results.

CONCLUSIONS

Limited evidence exists on the benefits of SDOH screening in OBGYN clinical settings. Innovative studies leveraging existing data collection are needed to expand and improve SDOH screening.

Social Determinants of Health: Opportunity for Occupational Therapy

There is a growing recognition that social determinants of health (or social drivers of health [SDOH]) affect physical well-being. In this Health Policy Perspectives column, we describe SDOH and the evolving landscape in health care. Policymakers are facilitating notable investments in social care and putting forth requirements for health care organizations to address SDOH. We share insights and perspectives on the roles occupational therapy practitioners can play in these efforts to address SDOH and the building ecosystems connecting health care and social care.

A Prescription for Internet: Feasibility of a Tablet Loaner Program to Address Digital Health Inequities

OBJECTIVE

The coronavirus disease 2019 pandemic accelerated the adoption of telehealth technologies. Persistent disparities in telecommunication devices, internet connectivity, and digital literacy, however, undermine the potential for telemedicine to reduce barriers to health care access. Health systems may have a role in addressing these structural inequities. We describe the operationalization and feasibility of an internet-enabled tablet loaner program at a freestanding children's hospital.

METHODS

Between October 2020 and October 2021, pediatricians enrolled families through ambulatory clinics at an academic urban freestanding children's hospital. Eligibility criteria included difficulty accessing virtual care due to lack of stable internet or device. Tablets featured an unlimited data package, access to the patient portal, and virtual visit platform. A private technology company managed device configuration and distribution. To characterize program impact, we compared the proportion of completed clinical encounters during the intervention compared with a preintervention period (March 2020-October 2020) and conducted a qualitative survey with program participants. Participant and visit characteristics were obtained from the electronic medical record and summarized with descriptive statistics.

RESULTS

A total of 111 families participated in the tablet loaner program, the majority of whom were Hispanic (51.4%) and black, non-Hispanic (26.1%), and publicly insured (64.9%). Between the preintervention and intervention periods, there was a significant increase in completed video- and phone-based virtual visits (75.3 vs. 79.1%, p = 0.038). The proportion of video-based only visits increased from 82.9 to 88.9%. p < 0.001. Families reported that the tablet improved the patient's ability to receive medical care (93.7%) and was easy to use (93.9%).

CONCLUSION

The tablet loaner initiative was associated with an improvement in markers of virtual visit engagement and health care experience. Efforts to expand telemedicine equity must consider technological access and digital literacy as well as broad coalitions across industry, government, and community organizations.

Inclusion of Social and Structural Determinants of Health to Advance Understanding of their Influence on the Biology of Chronic Disease

Social Determinants of Health (SDOH) consider social, political, and economic factors that contribute to health disparities in patients and populations. The most common health-related SDOH exposures are food and housing insecurity, financial instability, transportation needs, low levels of education, and psychosocial stress. These domains describe risks that can impact health outcomes more than health care. Epidemiologic and translational research demonstrates that SDOH factors represent exposures that predict harm and impact the health of individuals. International and national guidelines urge health professionals to address SDOH in clinical practice and public health. The further implementation of these recommendations into basic and translational research, however, is lagging. Herein, we consider a precision health framework to describe how SDOH contributes to the exposome and exacerbates physiologic pathways that lead to chronic disease. SDOH factors are associated with various forms of stressors that impact physiological processes through epigenetic, inflammatory, and redox regulation. Many SDOH exposures may add to or potentiate the pathologic effects of additional environmental exposures. This overview aims to inform basic life science and translational researchers about SDOH exposures that can confound associations between classic biomedical determinants of disease and health outcomes. To advance the study of toxicology through either qualitative or quantitative assessment of exposures to chemical and biological substances, a more complete environmental evaluation should include SDOH exposures. We discuss common approaches to measure SDOH factors at individual and population levels and review the associations between SDOH risk factors and physiologic mechanisms that influence chronic disease. We provide clinical and policy-based motivation to encourage researchers to consider the impact of SDOH exposures on study results and data interpretation. With valid measures of SDOH factors incorporated into study design and analyses, future toxicological research may contribute to an evidence base that can better inform prevention and treatment options, to improve equitable clinical care and population health. © 2022 Wiley Periodicals LLC.

Modification of social determinants of health by critical illness and consequences of that modification for recovery: an international qualitative study

OBJECTIVES

Social determinants of health (SDoH) contribute to health outcomes. We identified SDoH that were modified by critical illness, and the effect of such modifications on recovery from critical illness.

DESIGN

In-depth semistructured interviews following hospital discharge. Interview transcripts were mapped against a pre-existing social policy framework: money and work; skills and education; housing, transport and neighbourhoods; and family, friends and social connections.

SETTING

14 hospital sites in the USA, UK and Australia.

PARTICIPANTS

Patients and caregivers, who had been admitted to critical care from three continents.

RESULTS

86 interviews were analysed (66 patients and 20 caregivers). SDoH, both financial and non-financial in nature, could be negatively influenced by exposure to critical illness, with a direct impact on health-related outcomes at an individual level. Financial modifications included changes to employment status due to critical illness-related disability, alongside changes to income and insurance status. Negative health impacts included the inability to access essential healthcare and an increase in mental health problems.

CONCLUSIONS

Critical illness appears to modify SDoH for survivors and their family members, potentially impacting recovery and health. Our findings suggest that increased attention to issues such as one's social network, economic security and access to healthcare is required following discharge from critical care.

Pediatric emergency department organization and social care practices among U.S. fellowship programs

Background

Social care has become increasingly relevant to the emergency physician and includes activities that address health-related social risk and social needs. The literature has consistently documented substantial health care provider challenges in incorporating social care into routine practice. Yet, interventions on the health care organizational level hold promise to bring about more widespread, sustainable impact.

Methods

This study was a subanalysis of the 2021 National Social Care Practices Survey data set among pediatric emergency medicine (PEM) program directors (PDs) and fellows. The purpose was to investigate the association between health care organizational factors and PEM physician social care practices and perceptions among PEM PDs and fellows. We performed binary and ordinal logistic regressions of organizational factors and five specific PEM physician social care perspective and practice outcomes.

Results

The sample population included 153 physicians-44 PDs (49% response rate) and 109 fellows (28%). PDs and fellows with access to a social care systematic workflow in their pediatric emergency department (PED) had higher odds of comfort assessing social risk (odds ratio [OR] 2.1%, 95% confidence interval [CI] 1.1-4.0), valuation of social care (OR 3.2, 95% CI 1.3-7.9), preparedness to assist families (OR 2.4, 95% CI 1.1-5.2), screening tendency (OR 2.2, 95% CI 1.1-4.5), and ability to refer to community resources (OR 2.3, 95% CI 1.2-4.6). A similarly directed, but less pronounced pattern was noted with access to a community resource database for referrals and 24-h access to a social worker in the PED.

Conclusions

PED organizational factors-particularly access to a social care systematic workflow-appear positively associated with PEM physician practices and perceptions of social care delivery. Further research is under way to advance understanding of PEM training factors in social care.

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.

Addressing Social Determinants of Vision Health

Social determinants of health encompass the quality of an individual’s social and physical environment and its effect on health outcomes. Disparities in these social and environmental factors have a significant role in vision health disparities and inequity in eye care. In this review, we discuss how disparities in visual impairment and eye care utilization are affected by each of the five core domains of social determinants of health, namely economic stability (income, employment, and food security), education (education level and health literacy), health care access (insurance and medical costs), neighborhood environment (housing conditions, home ownership, pollution, and crime), and social context (race and racism). Moreover, we describe a framework by which ophthalmologists can take action to address social determinants of vision health. These actionable strategies are guided by recommendations from the National Academies of Sciences, Engineering, and Medicine and have five complementary components to address social needs: awareness (screening for social needs), assistance (connecting patients with social care resources), adjustment (altering clinical care in recognition of social needs), alignment (understanding social assets and collaborating with community organizations), and advocacy (promoting policies to address social needs). Addressing social determinants of health is complex but achievable through collaborative strategies. Ophthalmologists have an important leadership role in addressing eye care disparities by taking action on underlying social determinants of vision health.

Social Needs Resource Connections: A Systematic Review of Barriers, Facilitators, and Evaluation

INTRODUCTION

Healthcare organizations increasingly are screening patients for social needs (e.g., food, housing) and referring them to community resources. This systematic mixed studies review assesses how studies evaluate social needs resource connections and identifies patient- and caregiver-reported factors that may inhibit or facilitate resource connections.

METHODS

Investigators searched PubMed and CINAHL for articles published from October 2015 to December 2020 and used dual review to determine inclusion based on a priori selection criteria. Data related to study design, setting, population of interest, intervention, and outcomes were abstracted. Articles' quality was assessed using the Mixed Methods Appraisal Tool. Data analysis was conducted in 2021.

RESULTS

The search identified 34 articles from 32 studies. The authors created a taxonomy of quantitative resource connection measures with 4 categories: whether participants made contact with resources, received resources, had their social needs addressed, or rated some aspect of their experience with resources. Barriers to resource connections were inadequacy, irrelevancy, or restrictiveness; inaccessibility; fears surrounding stigma or discrimination; and factors related to staff training and resource information sharing. Facilitators were referrals' relevancy, the degree of support and simplicity embedded within the interventions, and interventions being comprehensive and inclusive.

DISCUSSION

This synthesis of barriers and facilitators indicates areas where healthcare organizations may have agency to improve the efficacy of social needs screening and referral interventions. The authors also recommend that resource connection measures be explicitly defined and focus on whether participants received new resources and whether their social needs were addressed.

A Scoping Review and Narrative Synthesis Comparing the Constructs of Social Determinants of Health and Social Determinants of Mental Health: Matryoshka or Two Independent Constructs?

Background

Many health research policies invoke the construct of Social Determinants of Health, and more recently the construct of Social Determinants of Mental Health. While frequently referred to in the literature, it is unclear how these constructs relate to each other. Some commentators conceptualise the Determinants of Mental Health as a subgroup of the Determinants of general Health and others describe the Determinants of Mental Health as an autonomous construct. The current review investigates the relationship between both constructs.

Methods

Comprehensive literature searches were conducted for both constructs separately within seven electronic databases. A template analysis was conducted to compare the conceptualisations of the Social Determinants of Health and the Social Determinants of Mental Health.

Results

Of 4250 search results, 50 papers (25 for each construct) fulfilled our inclusion criteria and were incorporated into a narrative synthesis. Discussions of the Social Determinants of both general and Mental Health listed the same determinants. Both constructs were conceptualised on multiple levels and factors. Stress and health behaviour were also described as mediators for both constructs. The constructs differed, however, with respect to two components of their aetiologies and epistemologies. First, the causal mechanisms invoked for the Determinants of general Health followed predominantly direct pathways, in contrast to indirect pathways for the Social Determinants of Mental Health. Second, the Social Determinants of Mental Health were reported to influence mental health mediated through individuals' perceptions and appraisal processes. Appraisal processes were considered of far less relevance in the construct of Social Determinants of Health.

Conclusion

The constructs of Social Determinants of Health and Social Determinants of Mental Health align in many respects but differ on important aetiological and epistemological grounds. Similar social factors are considered important, but whereas physical health conditions are primarily conceptualised to be driven by objective realities, mental health is explained mainly in terms of perception of these realities. This differentiation between physical and mental health is in line with a modern understanding of mind-body-dualism, the naturalistic dualism after Chalmers. Differentiating the Social Determinants of Mental Health from the Social Determinants of Health might bear relevance for policy making and research.

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

Health care organizations are increasingly assessing patients' social needs (eg, food, utilities, transportation) using various measures and methods. Prior studies have assessed social needs at the point of care and many studies have focused on correlates of 1 specific need (eg, food). This comprehensive study examined multiple social needs and medical and pharmacy claims data. Medicaid beneficiaries in Louisiana (n = 10,275) completed a self-report assessment of 10 social needs during July 2018 to June 2019. Chronic health conditions, unique medications, and health care utilization were coded from claims data. The sample was predominantly female (72%), Black (45%) or White (32%), had a mean age of 42 years, and at least 1 social need (55%). In bivariate analyses, having greater social needs was associated with greater comorbidity across conditions, and each social need was consistently associated with mental health and substance use disorders. In multivariable logistic analyses, having ≥2 social needs was positively associated with emergency department (ED) visits (OR = 1.39, CI = 1.23 - 1.57) and negatively associated with wellness visits (OR = 0.87, CI = 0.77 - 0.98), inpatient visits (OR = 0.87, CI = 0.76 - 0.99), and 30-day rehospitalization (OR = 0.66, CI = 0.50 - 0.87). Findings highlight the greater concomitant risk of social needs, mental health, and substance use. Admission policies may reduce the impact of social needs on hospitalization. Chronic disease management programs offered by health plans may benefit from systematically assessing and addressing social needs outside point-of-care interactions to impact health outcomes and ED utilization. Behavioral health care management programs would benefit from integrating interventions for multiple social needs.

Incorporating a Whole-Person Perspective in Consumer-Generated Data: Social Determinants, Resilience, and Hidden Patterns

Given the complex health and social needs of older adults, the rapid growth of the aging population, and the increasing use of information technology in healthcare, there is a critical need for informatics solutions that advance gerontological nursing care and knowledge discovery. This article illustrates the value of standardized data for healthcare quality improvement throughout the life cycle of data capture and reuse. One such informatics solution is the MyStrengths+MyHealth app, which incorporates a whole-person perspective through the Simplified Omaha System Terms assessment, including the social and behavioral determinants of health, as well as resilience. The data describe whole-person health of older adults from MyStrengths+MyHealth for use in clinical encounters and as raw data for research. There is potential to use such standardized data to improve gerontological nursing care at the bedside and for population health management and research.

Toward Successful and Sustainable Statewide Screening for Social Determinants of Health: Testing the Interest of Hospitals

The impact of social and behavioral factors on health outcomes are well defined in the field of public health. Additionally, characteristics such as race, ethnicity, and language have been proven to affect an individual's capacity to address health care needs. While these nonclinical components affect care, variations in screening methodology between organizations make it difficult to analyze data broadly. Standardized approaches can mitigate the impact of these factors but may be difficult to incorporate into an established workflow. The Connecticut Hospital Association identified social determinants of health (SDOH) as a factor affecting patient outcomes during a statewide collaborative on asthma. The goal of this quality improvement project was to explore change in workflow as a barrier to screening for SDOH in hospitals. Four hospitals participated in the pilot using a standardized screening tool to assess 662 patients; 62% (n = 410) were White, 11% (n = 76) were Black, 5% (n = 31) were classified as other, and 22% (n = 145) were in unknown race categories. Of those reporting needs, 438 (66%) had food-, housing-, or transportation-related needs. Qualitative interviews with staff from pilot hospitals were conducted. There were 3 main themes: the screening tool was easy to use; patients could be reluctant to reveal SDOH information; and lack of a standardized referral process made patient screening difficult to sustain or justify. The volume and magnitude of SDOH needs identified, along with the sense of helplessness expressed in qualitative interviews, reinforced the decision to implement a technology platform for screening, closed-loop referral, and outcome measurement.

Social aspects of chronic transfusions: addressing social determinants of health, health literacy, and quality of life

Chronic monthly transfusions are a lifesaving preventative therapy for many patients with sickle cell disease; however, the burden of this therapy for patients and families is high. In the United States, there is overlap in the population affected by sickle cell disease and those with the greatest burden of social needs. Hematology providers caring for patients with SCD have an opportunity to screen for and mitigate social determinants of health, especially in those receiving chronic transfusion therapy given the frequent interactions with the healthcare system and increased demand on already potentially limited resources. Given the complexity of the treatment and medication regimens, providers caring for patients receiving chronic transfusions should implement universal strategies to minimize the impact of low health literacy, as this therapy imposes a significant demand on the health literacy skills of a family. Despite the social and literacy burden of this intervention, it is reassuring that quality of life is preserved as patients with SCD on chronic transfusion therapy often report higher health related quality of life than their peers receiving other disease modifying therapies.

Comparing the performance of two social risk screening tools in a vulnerable subpopulation

Background

Research shows the profound impact of social factors on health, lead many healths systems to incorporate social risk screening. To help healthcare systems select among various screening tools we compared two tools, the Your Current Life Situation (YCLS) and the Accountable Health Communities (AHC) Screening tools, on key psychometric properties.

Method

Kaiser Permanente Southern California subsidized exchange members (n = 1008) were randomly invited to complete a survey containing either the YCLS or the AHC tool, as well as other measures related to care experience and health. Healthcare use was measured through the electronic health record. Agreement between the AHC and YCLS was assessed using adjusted kappas for six domains (food - worry, food - pay, insecure housing, housing quality, transportation, utilities). To assess predictive validity, items on the AHC and YCLS were compared to self-rated health and receipt of a flu shot.

Results

Responders (n = 450) and non-responders (n = 558) significantly differed on sex, language, and depression (P < 0.05) but not anxiety, race/ethnicity, or healthcare use. Agreement between the AHC and YCLS tools was substantial on all items (kappas > 0.60) except for housing quality (kappa 0.52). Four out of six screening questions on the AHC tool and four out of seven on the YCLS tool were associated with self-rated health (P < 0.03). No social needs were associated with flu shot receipt except utilities on the AHC tool (P = 0.028).

Conclusion

In this sample, the AHC and YCLS tools are similar in their ability to screen for social risks. Differences observed likely stem from the timeframe and wording of the questions, which can be used to guide selection in healthcare systems.