The 'what' and 'how' of screening for social needs in healthcare settings: a scoping review

Caring for dementia caregivers: How well does social risk screening reflect unmet needs?

BACKGROUND

Unmet social and caregiving needs can make caregiving for a person with dementia more difficult. Although national policy encourages adoption of systematic screening for health-related social risks (HRSRs) in clinical settings, the accuracy of these risk-based screening tools for detecting unmet social needs is unknown.

METHODS

We used baseline data from dementia caregivers (N = 343) enrolled in a randomized controlled trial evaluating CommunityRx-Dementia, a social care intervention conducted on Chicago's South Side. We assessed caregivers' (1) unmet social and caregiving needs by querying need for 14 resource types and (2) HRSRs using the Center for Medicare & Medicaid Services (CMS) Accountable Health Communities (AHC) screening tool. Using unmet social needs as the reference, we examined the sensitivity of the AHC tool to detect food, housing, and transportation needs. Analyses were stratified by gender.

RESULTS

Most caregivers were women (78%), non-Hispanic (96%), Black (81%), partnered (58%) and had an annual household income ≥$50K (64%). Unmet social and caregiving needs were similarly prevalent among women and men caregivers (87% had ≥1 need, 43% had ≥5 needs). HRSRs were also prevalent. The most common HRSR was lack of social support (45%). Housing instability, difficulty with utilities and having any HRSRs were significantly more prevalent among women (all p < 0.05). The AHC screener had low sensitivity for detecting unmet food (39%, 95% confidence interval [CI]: 27%-53%), housing (42%, 95% CI: 31%-53%), and transportation (22%, 95% CI: 14%-31%) needs. Sensitivity did not differ by gender for food (41% for women and 30% for men, p = 0.72) or housing (44% for women and 29% for men, p = 0.37) needs. For transportation needs, sensitivity was 27% for women versus 0% for men (p = 0.01).

CONCLUSIONS

Men and women caregivers have high rates of unmet social needs that are often missed by the CMS-recommended risk-based screening method. Findings indicate a role for need-based screening in implementing social care.

Codesign and Evaluation of Pain Science Messages on Social Media With Adolescents With a History of Chronic Pain

Pain science education (PSE) is an important component of pediatric pain care; however, access to services is limited. To disseminate pain science concepts on social media, we partnered with adolescents with chronic pain to codesign content. We engaged 7 adolescent codesigners (aged 13-18 years) with lived experience of chronic pain to take part in 4 codesign workshops. Codesigners actively contributed to the social media campaign by selecting the social media platform, dictating design principles, generating metaphors and language, and recommending changes to mock designs. Codesigners suggested expanding the intended audience of the campaign to include people without a lived experience of chronic pain, such as friends, family, and teachers, alongside targeting adolescents with chronic pain. We published 30 posts and 102 stories over an 18-week period on Instagram, which reached over 40,000 individuals. We evaluated codesigners' experience, where they reported having clear communication and necessary supports and information to participate; were able to share their ideas and felt they were heard; and felt their input was making a difference. The outputs of this campaign could be useful to guide the tailoring of other PSE content delivered by clinicians as part of clinical care. Future testing of the content generated in this codesign process could evaluate if it leads to meaningful changes in the lives of people with chronic pain. PERSPECTIVE: Researchers partnered with adolescents with chronic pain to codesign content for a social media campaign on PSE. Adolescent codesigners actively shaped the campaign direction, broadening its scope to reach diverse audiences. Our Instagram initiative reached over 40,000 individuals, indicating the potential for innovative educational approaches.

Social Risk and Clinical Outcomes Among Adults With Type 2 Diabetes

Importance

No clear process exists for categorizing social risks in a way that informs effective social risk screening and intervention development.

Objective

To investigate social risk profiles and associations of those profiles with clinical outcomes in adults with diabetes using latent profile analysis.

Design, Setting, and Participants

For this cross-sectional study, a latent profile analysis was conducted using data for adults with type 2 diabetes collected at 2 primary care clinics in the Southeastern US from 2013 to 2014. Data were analyzed from November to December 2023.

Main Outcomes and Measures

Participants completed validated questionnaires for 26 social risk factors within 5 domains of social determinants of health: socioeconomic, neighborhood, education, food, and social and community context. In addition, participants completed questions that assessed psychological risk and behavioral risk. A 3-step latent profile analysis was used to identify different subgroups within the sample. Profiles were then regressed on outcomes of hemoglobin A1c (HbA1c), blood pressure, and quality of life.

Results

A total of 615 participants (mean [SD] age, 61.3 [10.9] years; 379 men [61.6%]) were included. Five latent class profiles were identified. The lowest risk group had significantly higher mental health-related quality of life compared with a group with higher neighborhood risk (β, 1.11; 95% CI, 0.67 to 1.55). The second group had low economic risk but high neighborhood risk and served as the reference group. The third group had high economic and neighborhood risk and had significantly higher blood pressure (β, 8.08; 95% CI, 2.16 to 14.01) compared with the reference. The fourth group had high psychological and behavioral risks but low socioeconomic and neighborhood risks. This group had significantly higher HbA1c (β, 0.47; 95% CI, 0.01 to 0.92) and lower mental health-related quality of life (β, -1.83; 95% CI, -2.41 to -1.24) compared with the reference. The highest risk group indicated high risk in all domains, had significantly higher HbA1c (β, 1.07; 95% CI, 0.50 to 1.63), and had lower mental health-related quality of life (β, -2.15; 95% CI, -2.87 to -1.42) compared with the reference.

Conclusions and Relevance

These findings suggest that social risk profiles can be identified according to social, psychological, and behavioral risk domains and the health outcome of concern among adults with diabetes. Future work should consider the use of social risk profiles in intervention development and testing.

Healthcare utilization in women diagnosed with endometrial cancer: A survey-based study

OBJECTIVE

Despite similar incidence, non-Hispanic Black women are twice as likely to die of endometrial cancer as non-Hispanic White women. The social determinants of health may contribute to this disparity. We studied barriers to care and social needs of endometrial cancer patients.

METHODS

In a cohort of patients with endometrial cancer from the All of Us study, participants self-reported demographics and completed validated surveys (access to medical care, transportation, caregiving, finances, medication, general care, specialty care, housing insecurity). Univariate and multivariate logistic regression models evaluated demographic and access factors associated with any need.

RESULTS

Of 568 participants, 77.7% identified as non-Hispanic White, 7.5% Black, and 8.8% Hispanic. 59% were > 65 years and 95.8% insured. Contributors to delays in care were paying out of pocket (9.9%), provider anxiety (7.6%), transportation (6.3%), cost of copay (6.2%), and insufficient leave from work (5.6%). To mitigate healthcare costs, 16.2% of participants inquired about lower-cost medications, 11.1% reported delaying filling prescriptions, 7.6% taking fewer prescribed medications, and 6.5% skipped doses. Regarding multivariate analysis, participants earning <$25,000 had a 7.3 (95% CI 1.7-31.7) higher adjusted odds of transportation needs and 3.6 (95% CI 1.4-9.7) higher difficulty accessing specialists. No racial/ethnic disparities were identified.

CONCLUSIONS

Social needs and barriers to care are most pronounced among endometrial cancer survivors earning <$25,000. Unexpectedly, and possibly related to sample size or survey tool, race/ethnicity were not zassociated with barriers to care. Further studies on health-related social needs, optimal screening tools, and effective interventions are needed in order to achieve equity in cancer outcomes for endometrial cancer patients.

Identifying Individuals with Highest Social Risk in Adults with Type 2 Diabetes Using Item Response Theory

OBJECTIVE

The aim of this analysis was to create a parsimonious tool to screen for high social risk using item response theory to discriminate across social risk factors in adults with type 2 diabetes.

METHODS

Cross-sectional data of 615 adults with diabetes recruited from two primary care clinics were used. Participants completed assessments including validated scales on economic instability (financial hardship), neighborhood and built environment (crime, violence, neighborhood rating), education (highest education, health literacy), food environment (food insecurity), social and community context (social isolation), and psychological risk factors (perceived stress, depression, serious psychological distress, diabetes distress). Item response theory (IRT) models were used to understand the association between a participant's underlying level of a particular social risk factor and the probability of that response. A two-parameter logistic IRT model was used with each of the 12 social determinant factors being added as a separate parameter in the model. Higher values in item discrimination indicate better ability of a specific social risk factor in differentiating participants from each other.

RESULTS

Rate of crime reported in a neighborhood (discrimination 3.13, SE 0.50; item difficulty - 0.68, SE 0.07) and neighborhood rating (discrimination 4.02, SE 0.87; item difficulty - 1.04, SE 0.08) had the highest discrimination.

CONCLUSIONS

Based on these findings, crime and neighborhood rating discriminate best between individuals with type 2 diabetes who have high social risk and those with low social risk. These two questions can be used as a parsimonious social risk screening tool to identify high social risk.

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.

Understanding social determinants of health and physical therapy outcomes in patients with low back pain: A scoping review

BACKGROUND

Low back pain (LBP) is the number one cause of disability worldwide; however, it is not clear how social determinants of health (SDOH) impact care management and outcomes related to physical therapy (PT) services for patients with LBP.

OBJECTIVE

The purposes of this scoping review are to examine and assimilate the literature on how SDOH and PT care relate to non-specific LBP outcomes and identify gaps in the literature to target for future research.

METHODS

Data were extracted from eight electronic databases from January 2011 to February 2022. Reviewers independently screened all studies using the PRISMA extension for scoping review guidelines. Data related to study design, type of PT, type of non-specific LBP, patient demographics, PT intervention, SDOH, and PT outcomes were extracted from the articles.

RESULTS

A total of 30,523 studies were screened, with 1961 articles undergoing full text review. Ultimately, 76 articles were identified for inclusion. Sex and age were the most frequent SDOH examined (88% and 78% respectively) followed by education level (18%). Approximately half of the studies that examined age, sex, and education level identified no effect on outcomes. The number of studies examining other factors was small and the types of outcomes evaluated were variable, which limited the ability to pool results.

CONCLUSIONS

Sex and age were the most frequent SDOH examined followed by education level. Other factors were evaluated less frequently, making it difficult to draw conclusions. Study design and heterogeneity of determinants and outcomes were barriers to examining the potential impact on patients with LBP.

Teaching Patients About Pain: The Emergence of Pain Science Education, its Learning Frameworks and Delivery Strategies

Since it emerged in the early 2000's, intensive education about 'how pain works', widely known as pain neuroscience education or explaining pain, has evolved into a new educational approach, with new content and new strategies. The substantial differences from the original have led the PETAL collaboration to call the current iteration 'Pain Science Education'. This review presents a brief historical context for Pain Science Education, the clinical trials, consumer perspective, and real-world clinical data that have pushed the field to update both content and method. We describe the key role of educational psychology in driving this change, the central role of constructivism, and the constructivist learning frameworks around which Pain Science Education is now planned and delivered. We integrate terminology and concepts from the learning frameworks currently being used across the PETAL collaboration in both research and practice-the Interactive, Constructive, Active, Passive framework, transformative learning theory, and dynamic model of conceptual change. We then discuss strategies that are being used to enhance learning within clinical encounters, which focus on the skill, will, and thrill of learning. Finally, we provide practical examples of these strategies so as to assist the reader to drive their own patient pain education offerings towards more effective learning. PERSPECTIVE: Rapid progress in several fields and research groups has led to the emergence 'Pain Science Education'. This PETAL review describes challenges that have spurred the field forward, the learning frameworks and educational strategies that are addressing those challenges, and some easy wins to implement and mistakes to avoid.

Using PROGRESS-plus to identify current approaches to the collection and reporting of equity-relevant data: a scoping review

OBJECTIVES

Our objectives were to identify what and how data relating to the social determinants of health are collected and reported in equity-relevant studies and map these data to the PROGRESS-Plus framework.

STUDY DESIGN AND SETTING

We performed a scoping review. We ran two systematic searches of MEDLINE and Embase for equity-relevant studies published during 2021. We included studies in any language without limitations to participant characteristics. Included studies were required to have collected and reported at least two participant variables relevant to evaluating individual-level social determinants of health. We applied the PROGRESS-Plus framework to identify and organize these data.

RESULTS

We extracted data from 200 equity-relevant studies, providing 962 items defined by PROGRESS-Plus. A median of 4 (interquartile range = 2) PROGRESS-Plus items were reported in the included studies. 92% of studies reported age; 78% reported sex/gender; 65% reported educational attainment; 49% reported socioeconomic status; 45% reported race; 44% reported social capital; 33% reported occupation; 14% reported place and 9% reported religion.

CONCLUSION

Our synthesis demonstrated that researchers currently collect a limited range of equity-relevant data, but usefully provides a range of examples spanning PROGRESS-Plus to inform the development of improved, standardized practices.