Patient Social Determinants Of Health Research Articles

Combining zip code-based population data and pharmacy administrative claims data to create measures of social determinants of health.

Social determinants of health (SDoH) are key factors that impact health outcomes. However, there are many barriers to collecting SDoH data (eg, cost of data collection, technological barriers, and lack of standardized measures). Population data may provide an accessible alternative to collecting SDoH data for patients. To explain how population data can be leveraged to create SDoH measures, assess the association of population SDoH measures with diabetic medication adherence, and discuss how understanding a patient's SDoH can inform care plans and patient engagement. A nationally representative commercial sample of patients who were aged 18 years and older and met Pharmacy Quality Alliance inclusion criteria for diabetes mellitus were analyzed (N = 37,789). US Census and North American Industry Classification System data were combined with pharmacy administrative claims data to create SDoH measures. Derived measures represent 2 SDoH domains: (1) economic stability (housing density, housing relocation, jobs per resident, and average salary) and (2) health care access and quality (urban/rural classification, distance traveled to prescriber and pharmacy, use of a primary care provider [PCP], and residents per PCP). The association of population SDoH measures with diabetic medication adherence (proportion of days covered) was assessed via logistic regression, which included covariates (eg, sex, age, comorbidities, and prescription plan attributes). As housing density (houses per resident) increased, so did the likelihood of adherence (odds ratio = 1.54, 95% CI = 1.21-1.97, P = 0.001). Relative to patients who did not move, patients who moved once had 0.87 (95% CI = 0.81-0.93, P < 0.001) the odds of being adherent, and patients who moved 2 or more times had 0.82 (95% CI = 0.71-0.95, P = 0.008) the odds of being adherent. Compared with areas with fewer jobs per resident, patients living within a zip code with 0.16 to 0.26 jobs per resident were 1.12 (95% CI = 1.04-1.20, P = 0.002) times more likely to be adherent. Patients who lived in an urban cluster were 1.11 (95% CI = 1.01-1.22, P = 0.037) times more likely to be adherent than patients living in a rural area. Patients who travel at least 25 miles to their prescriber had 0.82 (95% CI = 0.77-0.86, P < 0.001) the odds of being adherent. Community pharmacy users had 0.65 (95% CI = 0.59-0.71, P < 0.001) the odds of being adherent compared with mail order pharmacy users. Patients who had a PCP were 1.26 (95% CI = 1.18-1.34, P < 0.001) times more likely to be adherent to their medication. Leveraging publicly available population data to create SDoH measures is an accessible option to overcome barriers to SDoH data collection. Derived measures can be used to increase equity in care received by identifying patients who could benefit from assistance with medication adherence.

The effect of social determinants of health on severity of microbial keratitis presentation at a tertiary eye care hospital in Southern India.

Understanding the association between social determinants of health (SDoHs) and microbial keratitis (MK) can inform underlying risk for patients and identify risk factors associated with worse disease, such as presenting visual acuity (VA) and time to initial presentation. This was a cross-sectional study was conducted with patients presenting with MK to the cornea clinic at a tertiary care hospital in Madurai, India. Patient demographics, SDoH survey responses, geographic pollution, and clinical features at presentation were collected. Descriptive statistics, univariate analysis, multi-variable linear regression models, and Poisson regression models were utilized. There were 51 patients evaluated. The mean age was 51.2 years (SD = 13.3); 33.3% were female and 55% did not visit a vision center (VC) prior to presenting to the clinic. The median presenting logarithm of the minimum angle of resolution (logMAR) VA was 1.1 [Snellen 20/240, inter-quartile range (IQR) = 20/80 to 20/4000]. The median time to presentation was 7 days (IQR = 4.5 to 10). The average particulate matter 2.5 (PM2.5) concentration, a measure of air pollution, for the districts from which the patients traveled was 24.3 μg/m3 (SD = 1.6). Age- and sex-adjusted linear regression and Poisson regression results showed that higher levels of PM2.5 were associated with 0.28 worse presenting logMAR VA (Snellen 2.8 lines, P = 0.002). Patients who did not visit a VC had a 100% longer time to presentation compared to those who did (incidence rate ratio = 2.0, 95% confidence interval = 1.3-3.0, P = 0.001). Patient SDoH and environmental exposures can impact MK presentation. Understanding SDoH is important for public health and policy implications to mitigate eye health disparities in India.

Cancer patient and provider responses to companion scales assessing experiences with LGBTQI-affirming healthcare.

Sexual and gender minority (SGM) persons are at a higher risk for some cancers and may have poorer health outcomes as a result of ongoing minority stress, social stigma, and cisnormative, heteronormative healthcare environments. This study compared patient and provider experiences of affirming environmental and behavioral cues and also examined provider-reported knowledge, attitudes, behaviors, and clinical preparedness in caring for SGM patients among a convenience sample. National convenience samples of oncology providers (n = 107) and patients (n = 88) were recruited separately via snowball sampling. No incentives were provided. After reverse coding of appropriate items for unidirectional analysis, lower scores on items indicated greater knowledge, more affirming attitudes or behaviors, and greater confidence in clinical preparedness to care for SGM patients. Pearson chi-square tests compared dichotomous variables and independent samples t-tests compared continuous variables. Other results were reported using descriptive frequencies. Both patient and provider samples were predominantly female sex assigned at birth, cisgender, and heterosexual. Providers were more likely than patients to report affirming cues in clinic, as well as the ability for patients to easily document their name in use and pronouns. Providers were more likely to report asking about patient values and preferences of care versus patients' recollection of being asked. Patients were more likely to report understanding why they were asked about both sex assigned at birth and gender identity compared to providers' perceptions that patients would understand being asked about both. Patients were also more likely to report comfort with providers asking about sex assigned at birth and gender identity compared to providers' perceptions of patient comfort. SGM providers had greater knowledge of SGM patient social determinants of health and cancer risks; felt more prepared to care for gay patients; were more likely to endorse the importance of knowing patient sexual orientation and gender identity; and were more likely to indicate a responsibility to learn about SGM patient needs and champion positive system changes for SGM patients compared to heterosexual/cisgender peers. Overall, providers wished for more SGM-specific training. Differences between patient and provider reports of affirming environments as well as differences between SGM and heterosexual/cisgender provider care support the need for expanded professional training specific to SGM cancer care.

What Do EHRs Tell Us about How We Deploy Health Professionals to Address the Social Determinants of Health

ABSTRACT The objective of this study was to determine how well Electronic Health Record (EHR) documentation identifies which health professionals act to address patient social determinants of health (SDOH) and what interventions are documented. The Electronic Medical Record Search Engine was used to identify food and housing insecurity EHR notes. From the notes, researchers randomly sampled 60 from each SDOH category. Of 120 notes, which contained a reference to food or housing insecurity, 72% also contained information on an intervention taken. Interventions were documented by social workers 63% of the time, followed by dietitians and physicians. Addressing patient SDOH is a crucial part of comprehensive healthcare. Findings contribute to a broader conversation on the documentation and interventions in healthcare settings to address patients’ SDOH. Findings support the critical importance of standardizing SDOH documentation in the EHR across more members of the health workforce to ensure patient needs are met.

Emergency Medicine and COVID-19: now and next year

Abstract The COVID-19 pandemic is responsible for infecting to date more than 93 million people worldwide and causing more than 2 million deaths. That the vast majority of deaths have occurred in the United States (U.S.) can be attributed to nonadherence by Americans to basic public health mitigation strategies that are known to curtail coronavirus spread. Emergency Departments (ED's) throughout the U.S. experienced a dramatic decrease in patient visits during the first surge of COVID-19, followed by an ED patient visit rebound to approximately 80% of pre-COVID-19 numbers, which have remained relatively stable through the current second COVID-19 surge. The pandemic highlighted the significant role that hospital ED's and emergency physicians played in combatting COVID-19 “on the front lines.” Wearing extensive and escalating personal protective equipment (PPE) layers became the norm in seeing emergency patients, and many infrastructure and process changes occurred included evaluating and treating patients in outdoor tents, cohorting confirmed and suspected COVID-19 patients in designated ED and hospital sections, and repeatedly amending COVID-19 evaluation and treatment guidelines as more information became available on a sometimes daily basis. Regarding other clinical venues in which emergency physicians were working during COVID-19 surges, Observation Unit patient visits decreased, although patient acuity increased; urgent care (UC) patient visits decreased dramatically, whereas Telehealth (TH) patient visits to our 24/7 available platform, JeffCONNECT, saw a dramatic increase in activity. Remdesivir, Dexamethazone and more recently, the monoclonal antibody Bamlanivimab, have formed the mainstay of treatment offered to our patients with COVID-19; all these agents are offered to patients in our ED's and Observation Unit. The current second COVID-19 surge, with our ED and hospital patient visits remaining essentially stable, has intensified the public health crisis as record numbers of U.S. patients continue to acquire COVID-19 and die. With ED patient care processes being optimized to treat the influx of COVID-19 patients, and ED geography being adjusted within ED's and expanding maximally to areas outside the ED's but still within the confines of hospital walls, emergency physicians have taken the lead in caring for patients remotely via on demand TH Virtual ED visits. Rather than continuing to request the patients to come to us, emergency physicians are evolving to assess patients remotely and are embracing health care delivery models that bring acute unscheduled medical care to patients at home. This will include also prioritizing health wellness, health care disparities, and health equity, as Emergency Medicine (EM) and emergency physicians begin to collectively address community and patient social determinants of health, especially in vulnerable populations and communities.

How pharmacy can start to solve the inequity puzzle

How pharmacy can start to solve the inequity puzzle

Social Determinants of Health and Geographic Variation in Medicare per Beneficiary Spending

Despite substantial geographic variation in Medicare per beneficiary spending in the US, little is known about the extent to which social determinants of health (SDoH) are associated with this variation. To determine the associations between SDoH and county-level price-adjusted Medicare per beneficiary spending. This cross-sectional study used county-level data on 2017 Medicare fee-for-service (FFS) spending, patient demographic characteristics (eg, age and gender) and clinical risk score, supply of health care resources (eg, number of hospital beds), and SDoH measures (eg, median income and unemployment rate) from multiple sources. Multivariable regressions were used to estimate the association of the variation in spending across quintiles with SDoH. 2017 county-level price-adjusted Medicare Parts A and B spending per beneficiary. SDoH measures included socioeconomic position, race/ethnicity, social relationships, and residential and community context. Among 3038 counties with 33 495 776 Medicare FFS beneficiaries (18 352 336 [54.8%] women; mean [SD] age, 72 [1.5] years), mean Medicare price-adjusted per beneficiary spending for counties in the highest spending quintile was $3785 (95% CI, $3706-$3862) higher, or 49% higher, than spending for bottom-quintile counties (mean [SD] spending per beneficiary, $11 464 [735] vs $7679 [522]; P < .001). The total contribution (including through both direct and indirect pathways) of SDoH was 37.7% ($1428 of $3785) of this variation, compared with 59.8% ($2265 of $3785) by patient clinical risk, 14.5% ($549 of $3785) by supply of health care resources, and 19.8% ($751 of $3785) by patient demographic characteristics. When all factors were included within the same model, the direct contribution of SDoH was associated with 5.8% of the variation, compared with 4.6% by supply, 4.7% by patient demographic characteristics, and 62.0% by patient clinical risk. These findings suggest social determinants of health are associated with considerable proportions of geographic variation in Medicare spending. Policies addressing SDoH for disadvantaged patients in certain regions have the potential to contain health care spending and improve the value of health care; patient SDoH may need to be accounted for in publicly reported physician performance, and in value-based purchasing incentive programs for health care professionals.

Identifying Social Determinants of Health and Allocating Resources During the COVID-19 Pandemic.

BackgroundCurrently, the world has found itself in a global pandemic with coronavirus. At its start, to limit the spread of this virus, countries, states, and counties have implemented stay-at-home orders and shutdowns. These shutdowns had great impacts on people's well-being and exacerbated social determinants of health. This project aims to identify patient social determinants of health and their associations during the COVID-19 pandemic via telemedicine.MethodsA total of 104 patients were surveyed within Pittsburgh, Pennsylvania, who had not been seen for at least 4 weeks before March 23, 2020 and who did not have a scheduled visit within 4 weeks of the initial survey. Based on a patient's specific response, resources were then allocated to them.ResultsMost patients surveyed identified at least 1 social determinant of health, the most common being financial issues (27%), mental health issues (26%), and access to food (19%). A statistically significant relationship was found between patients who identified finances with access to food, access to medication with struggling to care for themselves or others, and physical wellness with mental health. Lastly, an association was found between those who did not identify any difficulties and wanting more information.ConclusionsBy identifying needed barriers via telemedicine, we can properly allocate resources to those who need it the most and hope to decrease the potential long-term effects of this current pandemic.

Social Work Student and Practitioner Roles in Integrated Care Settings

Social workers are increasingly being deployed in integrated medical and behavioral healthcare settings but information about the roles they fill in these settings is not well understood. This study sought to identify the functions that social workers perform in integrated settings and identify where they acquired the necessary skills to perform them. Master of social work students (n=21) and their field supervisors (n=21) who were part of a Health Resources and Services Administration-funded program to train and expand the behavioral health workforce in integrated settings were asked how often they engaged in 28 functions, where they learned to perform those functions, and the degree to which their roles overlapped with others on the healthcare team. The most frequent functions included employing cultural competency, documenting in the electronic health record, addressing patient social determinants of health, and participating in team-based care. Respondents were least likely to engage in case conferences; use Screening, Brief Intervention and Referral to Treatment; use stepped care to determine necessary level of treatment; conduct functional assessments of daily living skills; use behavioral activation; and use problem-solving therapy. A total of 80% of respondents reported that their roles occasionally, often, very often, or always overlapped with others on the healthcare team. Students reported learning the majority of skills (76%) in their Master of Social Work programs. Supervisors attributed the majority (65%) of their skill development to on-the-job training. Study findings suggest the need to redesign education, regulatory, and payment to better support the deployment of social workers in integrated care settings. This article is part of a supplement entitled The Behavioral Health Workforce: Planning, Practice, and Preparation, which is sponsored by the Substance Abuse and Mental Health Services Administration and the Health Resources and Services Administration of the U.S. Department of Health and Human Services.