Provision of Social Care Services by US Hospitals.

Policy Points Hospitals address population health needs and patients' social determinants of health by offering social care services. Tax-exempt hospitals are required to invest in community benefits, including social care services programs, though most community benefits spending is toward unreimbursed health care services. Tax-exempt hospitals offer about 36% more social care services than for-profit hospitals. Among tax-exempt hospitals, those that allocate more resources to community benefits spending offer more types of social care services, but those in states with minimum community benefits spending requirements offer fewer social care services. Policymakers may consider specifically incentivizing community benefits expenditures toward particular social care services, including linking tax exemptions to implementation, utilization, and outcome targets, to more directly help patients. CONTEXT: Despite growing interest in identifying patients' social needs, little is known about hospitals' provision of services to address them. We identify social care services offered by US hospitals and determine whether hospital spending or state policies toward community benefits are associated with the provision of these services by tax-exempt hospitals. METHODS: National secondary data about hospitals were collected from the American Hospital Association Annual Survey, with additional Internal Revenue Service (IRS) Form 990 data on community benefits spending from CommunityBenefitInsight.org and state-level community benefits policies from HilltopInstitute.org. Descriptive statistics for types of social care services and hospital characteristics were calculated, with bivariate chi-square and t-tests comparing for-profit and tax-exempt hospitals. Multivariable Poisson regression was used to estimate associations between hospital characteristics and types of services offered and among tax-exempt hospitals to estimate associations between social care services and community benefits spending and policies. Multivariable logistic regressions modeled associations between community benefits spending/policies and each type of social care services. FINDINGS: Private US hospitals offered an average of 5.7 types of social care services in 2018. Tax-exempt hospitals offered about 36% more social care services than for-profit hospitals. Larger number of beds, health system affiliation, and having community partnerships are associated with more social care services, whereas rural hospitals and those managed under contract offered fewer social care services. Among tax-exempt hospitals, greater community benefits spending is associated with offering more total (incidence rate ratio [IRR] = 1.10, p < 0.01) and patient-focused social care services (IRR = 1.16, p < 0.01). Hospitals in states with minimum community benefits spending requirements offered significantly fewer social care services. CONCLUSIONS: Although tax-exempt status and increased community benefits spending were associated with increased social care services provision, the observation that certain hospital characteristics and state minimum community benefits spending requirements were associated with fewer social care services suggests opportunities for policy reform to increase social care services implementation.

Family Caregivers' Experiences With Telehealth During COVID-19: Insights From Michigan.

Telehealth can benefit older adults during COVID-19. The purpose of this study was to understand benefits and barriers to telemedicine visits for older adults from the perspectives of family caregivers. A cross-sectional, online survey was conducted across the state of Michigan with family caregivers (n = 90) who responded to open- and closed-ended questions. Perceived benefits of telemedicine included access and rapport; barriers included the appropriateness of telemedicine for certain health care needs. Telemedicine is a likely to remain beyond COVID-19 and can facilitate access to and continuity of care. There are barriers, however, that must be addressed, especially among older patients.

The impact of stigma on HIV testing decisions for gay, bisexual, queer and other men who have sex with men: a qualitative study.

BACKGROUND: Stigmatization may prompt gay, bisexual, queer and other men who have sex with men (GBQMSM) to avoid or delay HIV testing. There has been little attention to GBQMSMs' perspectives about how stigma may influence their decisions about whether, where, and how often to get tested for HIV. METHODS: We conducted nine focus groups with 64 adult GBQMSM in Metropolitan Detroit, including HIV-negative men and people living with HIV (PLWH). Data were thematically analyzed deductively and inductively in three rounds. RESULTS: Three themes emerged regarding whether to get tested: (1) Perceived promiscuity, risk perceptions and HIV testing; (2) Fearing sexual rejection; and (3) Fearing friend and family member distancing and rejection. Themes concerning where to get tested included: (4) Conflating HIV testing and diagnosis; and (5) Seeking privacy and safety at specialized services. As for how often to get tested, themes included: (6) Reducing contact with healthcare providers due to intersectional stigma; (7) Responsibility and regular testing; and (8) HIV stigma and testing as routine care. Black participants articulated themes (3), (4), and (6) with greater frequency than other participants. Framing HIV testing as a personal responsibility may have created a "new stigma," with unintended consequences not observed with "routine healthcare" messaging. CONCLUSIONS: GBQMSMs' perspectives indicate the potential for new foci for HIV testing promotion interventions based on stigma-related issues that they deem important. There is a need for interventions to challenge the "promiscuity" stereotype, and to reduce the sexual stigmatization of GBQMSM living with HIV/AIDS-especially online. Provider stigma requires both intervention and continued availability of specialized services. Future stigma-reduction interventions for Black GBQMSM could focus on building family support/acceptance, awareness of multiple testing options, and integrating LGBTQ-related issues into initiatives for racial justice in health care.

Comparative Analysis of Recruitment Strategies in a Study of Men Who Have Sex with Men (MSM) in Metropolitan Detroit.

HIV/AIDS-related research requires recruitment of representative samples of MSM; yet, we know little about the comparative yield, diversity and cost-benefit tradeoffs between different recruitment venues. We compared 11 recruitment venues used for nine HIV prevention-related focus groups with MSM in Metropolitan Detroit. Of the 64 participants, 24 were clients recruited via an HIV/AIDS-focused nonprofit, 20 from Grindr advertisements, 6 from university-student email lists, and 5 from flyers/palmcards. Significantly more African-American, low-income and HIV-positive participants were recruited via the nonprofit. The best cost-benefit tradeoffs were for organizational Facebook posts, email groups, personal networking, and nonprofit recruitment. Grindr increased the size of the sample, though at greater expense. Facebook and Scruff advertisements and gay bar outreach represented greater costs than benefits. Only 11.6% of Grindr respondents attended the focus groups. A mix of online and offline recruitment venues can generate a large and diverse sample of MSM, but venue performance is uneven.

Community-based surveillance of maternal deaths in rural Ghana.

OBJECTIVE: To examine the feasibility and effectiveness of community-based maternal mortality surveillance in rural Ghana, where most information on maternal deaths usually comes from retrospective surveys and hospital records. METHODS: In 2013, community-based surveillance volunteers used a modified reproductive age mortality survey (RAMOS 4+2) to interview family members of women of reproductive age (13-49 years) who died in Bosomtwe district in the previous five years. The survey comprised four yes-no questions and two supplementary questions. Verbal autopsies were done if there was a positive answer to at least one yes-no question. A mortality review committee established the cause of death. FINDINGS: Survey results were available for 357 women of reproductive age who died in the district. A positive response to at least one yes-no question was recorded for respondents reporting on the deaths of 132 women. These women had either a maternal death or died within one year of termination of pregnancy. Review of 108 available verbal autopsies found that 64 women had a maternal or late maternal death and 36 died of causes unrelated to childbearing. The most common causes of death were haemorrhage (15) and abortion (14). The resulting maternal mortality ratio was 357 per 100 000 live births, compared with 128 per 100 000 live births derived from hospital records. CONCLUSION: The community-based mortality survey was effective for ascertaining maternal deaths and identified many deaths not included in hospital records. National surveys could provide the information needed to end preventable maternal mortality by 2030.

Characterizing telehealth use in the US: analysis of the 2022 Health Information National Trends Survey.

OBJECTIVES: Use of telehealth has been on the rise since the start of the COVID-19 pandemic. Although there has been much investigation of telehealth use in the context of replacing in-person visits, there has been limited study of patients' motivations for using telehealth. The objectives of this study were to (1) evaluate patient characteristics associated with telehealth use and (2) evaluate patients' motivations for using telehealth. STUDY DESIGN: We conducted a cross-sectional secondary data analysis of the 2022 nationally representative Health Information National Trends Survey. METHODS: We conducted logistic regression models estimating the relationship between demographic and health characteristics and (1) use of telehealth services in the previous 12 months and (2) each of 5 motivations for using telehealth among telehealth users. RESULTS: The most common reason for using telehealth was recommendation or requirement by a clinician (73.6%). Respondents with depression were more likely to use telehealth than those without depression (OR, 2.73; P < .001) and were more likely to be motivated by convenience (OR, 1.80; P < .01), and Hispanic respondents were more likely to use telehealth to avoid exposure to infection (OR, 1.58; P < .05). CONCLUSIONS: Identifying patients' motivations may help decision makers better understand the perceived value of telehealth among patients and may help policy makers and administrators create opportunities for increased patient choice around visit modality to maximize health care access, value, and quality. Consideration of patient motivations for telehealth use may support practitioners in making tailored and person-centered decisions when recommending telehealth vs in-person visits.

Structured and unstructured social risk factor documentation in the electronic health record underestimates patients' self-reported risks.

OBJECTIVES: National attention has focused on increasing clinicians' responsiveness to the social determinants of health, for example, food security. A key step toward designing responsive interventions includes ensuring that information about patients' social circumstances is captured in the electronic health record (EHR). While prior work has assessed levels of EHR "social risk" documentation, the extent to which documentation represents the true prevalence of social risk is unknown. While no gold standard exists to definitively characterize social risks in clinical populations, here we used the best available proxy: social risks reported by patient survey. MATERIALS AND METHODS: We compared survey results to respondents' EHR social risk documentation (clinical free-text notes and International Statistical Classification of Diseases and Related Health Problems [ICD-10] codes). RESULTS: Surveys indicated much higher rates of social risk (8.2%-40.9%) than found in structured (0%-2.0%) or unstructured (0%-0.2%) documentation. DISCUSSION: Ideally, new care standards that include incentives to screen for social risk will increase the use of documentation tools and clinical teams' awareness of and interventions related to social adversity, while balancing potential screening and documentation burden on clinicians and patients. CONCLUSION: EHR documentation of social risk factors currently underestimates their prevalence.

Provision of telemental health before and after COVID-19 onset.

OBJECTIVES: To examine the organizational characteristics associated with telemedicine services provided by mental health care organizations before and after onset of the COVID-19 pandemic in the United States. STUDY DESIGN: Using 2019-2020 National Mental Health Services Survey data, we assessed changes in provisions of telemedicine services by mental health care facilities before and after onset of the COVID-19 pandemic. METHODS: We estimated multivariable logistic regression models comparing pre- vs postpandemic changes in prevalence of telemedicine offered by mental health care facilities. We incorporated mental health care organizations' characteristics, including facility type, accepted payment, geography, and language service provisions, as well as state-level policies, such as payment parity laws, shelter-in-place laws, and number of COVID-19 cases. RESULTS: Mental health care facilities had 4 times the odds (odds ratio [OR], 4.3; 95% CI, 4.09-4.61)​​ of telemedicine provision post pandemic in 2020 compared with prepandemic in 2019. In 2020, facilities that accepted Medicaid (OR, 1.3; 95% CI, 1.11-1.49) and Medicare (OR, 1.3; 95% CI, 1.14-1.39) were more likely to provide telemedicine than those that did not. Facilities that offered American Sign Language (OR, 1.3; 95% CI, 1.16-1.43) and non-English language services (OR, 1.3; 95% CI, 1.15-1.44) were more likely to provide telemedicine than facilities that did not. Facilities located in states with payment parity laws (OR, 1.2; 95% CI, 1.11-1.36) were more likely to offer telemedicine than states without. CONCLUSIONS: Telemedicine availability in mental health facilities has expanded post COVID-19 pandemic, but telemedicine provision has been uneven across organizational and state-level factors. Expansion of regional investments and payment parity might be necessary to ensure equitable provision of telemedicine.

Characterizing the relative frequency of clinician engagement with structured social determinants of health data.

OBJECTIVE: Electronic health records (EHRs) are increasingly used to capture social determinants of health (SDH) data, though there are few published studies of clinicians' engagement with captured data and whether engagement influences health and healthcare utilization. We compared the relative frequency of clinician engagement with discrete SDH data to the frequency of engagement with other common types of medical history information using data from inpatient hospitalizations. MATERIALS AND METHODS: We created measures of data engagement capturing instances of data documentation (data added/updated) or review (review of data that were previously documented) during a hospitalization. We applied these measures to four domains of EHR data, (medical, family, behavioral, and SDH) and explored associations between data engagement and hospital readmission risk. RESULTS: SDH data engagement was associated with lower readmission risk. Yet, there were lower levels of SDH data engagement (8.37% of hospitalizations) than medical (12.48%), behavioral (17.77%), and family (14.42%) history data engagement. In hospitalizations where data were available from prior hospitalizations/outpatient encounters, a larger proportion of hospitalizations had SDH data engagement than other domains (72.60%). DISCUSSION: The goal of SDH data collection is to drive interventions to reduce social risk. Data on when and how clinical teams engage with SDH data should be used to inform informatics initiatives to address health and healthcare disparities. CONCLUSION: Overall levels of SDH data engagement were lower than those of common medical, behavioral, and family history data, suggesting opportunities to enhance clinician SDH data engagement to support social services referrals and quality measurement efforts.

Social and Medical Care Integration Practices Among Children's Hospitals.

OBJECTIVES: In response to evidence linking social risk factors and adverse health outcomes, new incentives have emerged for hospitals to screen for adverse social determinants of health (SDOH). However, little information is available about the current state of social risk-related care practices among children's hospitals. To address outstanding knowledge gaps, we sought to describe social risk-related care practices among a national sample of children's hospitals. METHODS: We analyzed responses to the 2020 American Hospital Association Annual Survey. Among children's hospitals, we calculated the prevalence of screening for social needs, strategies to address social risks/needs, partnerships with community-based organizations to address social risks/needs at the individual and community level, and rates of impact assessments of how social risk-related interventions affect outcomes. We also used χ2 tests to compare results by hospital characteristics. We weighted results to adjust for nonresponse. RESULTS: The sample included 82 children's hospitals. A total of 79.6% screened for and 96.0% had strategies to address at least 1 social risk factor, although rates varied by SDOH domain. Children's hospitals more commonly partnered with community-based organizations to address patient-level social risks than to participate in community-level initiatives. A total of 39.2% of hospitals assessed SDOH intervention effectiveness. Differences in social risk-related care practices commonly varied by hospital ownership and Medicaid population but not by region. CONCLUSIONS: We found wide variability in social risk-related care practices among children's hospitals based on the risk domain and hospital characteristics. Findings can be used to monitor whether social risk-related care practices change in the setting of new incentives.

Unmet Social Needs and Patterns of Hair Cortisol Concentration in Mother-Child Dyads.

Background: Mothers and their children demonstrate dyadic synchrony of hypothalamic-pituitary-adrenal (HPA) axis function, likely influenced by shared genetic or environmental factors. Although evidence has shown that chronic stress exposure has physiologic consequences for individuals-including on the HPA axis-minimal research has explored how unmet social needs such as food and housing instability may be associated with chronic stress and HPA axis synchrony in mother-child dyads. Methods: We conducted a secondary analysis of data from 364 mother-child dyads with low-income recruited during a randomized trial conducted in an urban pediatric clinic. We used latent profile analysis (LPA) to identify subgroups based on naturally occurring patterns of within-dyad hair cortisol concentration (HCC). A logistic regression model predicted dyadic HCC profile membership as a function of summative count of survey-reported unmet social needs, controlling for demographic and health covariates. Results: LPA of HCC data from dyads revealed a 2-profile model as the best fit. Comparisons of log HCC for mothers and children in each profile group resulted in significantly "higher dyadic HCC" versus "lower dyadic HCC" profiles (median log HCC for mothers: 4.64 vs 1.58; children: 5.92 vs 2.79, respectively; P < .001). In the fully adjusted model, each one-unit increase in number of unmet social needs predicted significantly higher odds of membership in the higher dyadic HCC profile when compared to the lower dyadic HCC profile (odds ratio = 1.13; 95% confidence interval [1.04-1.23]; P = .01). Conclusion: Mother-child dyads experience synchronous patterns of physiologic stress, and an increasing number of unmet social needs is associated with a profile of higher dyadic HCC. Interventions aimed at decreasing family-level unmet social needs or maternal stress are, therefore, likely to affect pediatric stress and related health inequities; efforts to address pediatric stress similarly may affect maternal stress and related health inequities. Future research should explore the measures and methods needed to understand the impact of unmet social needs and stress on family dyads.

Physician awareness of social determinants of health documentation capability in the electronic health record.

Healthcare organizations are increasing social determinants of health (SDH) screening and documentation in the electronic health record (EHR). Physicians may use SDH data for medical decision-making and to provide referrals to social care resources. Physicians must be aware of these data to use them, however, and little is known about physicians' awareness of EHR-based SDH documentation or documentation capabilities. We therefore leveraged national physician survey data to measure level of awareness and variation by physician, practice, and EHR characteristics to inform practice- and policy-based efforts to drive medical-social care integration. We identify higher levels of social needs documentation awareness among physicians practicing in community health centers, those participating in payment models with social care initiatives, and those aware of other advanced EHR functionalities. Findings indicate that there are opportunities to improve physician education and training around new EHR-based SDH functionalities.

Health informatics interventions to minimize out-of-pocket medication costs for patients: what providers want.

Objective: To explore diverse provider perspectives on: strategies for addressing patient medication cost barriers; patient medication cost information gaps; current medication cost-related informatics tools; and design features for future tool development. Materials and Methods: We conducted 38 semistructured interviews with providers (physicians, nurses, pharmacists, social workers, and administrators) in a Midwestern health system in the United States. We used 3 rounds of qualitative coding to identify themes. Results: Providers lacked access to information about: patients' ability to pay for medications; true costs of full medication regimens; and cost impacts of patient insurance changes. Some providers said that while existing cost-related tools were helpful, they contained unclear insurance information and several questioned the information's quality. Cost-related information was not available to everyone who needed it and was not always available when needed. Fragmentation of information across sources made cost-alleviation information difficult to access. Providers desired future tools to compare medication costs more directly; provide quick references on costs to facilitate clinical conversations; streamline medication resource referrals; and provide centrally accessible visual summaries of patient affordability challenges. Discussion: These findings can inform the next generation of informatics tools for minimizing patients' out-of-pocket costs. Future tools should support the work of a wider range of providers and situations and use cases than current tools do. Such tools would have the potential to improve prescribing decisions and better link patients to resources. Conclusion: Results identified opportunities to fill multidisciplinary providers' information gaps and ways in which new tools could better support medication affordability for patients.

"It's a mess sometimes": patient perspectives on provider responses to healthcare costs, and how informatics interventions can help support cost-sensitive care decisions.

OBJECTIVE: We investigated patient experiences with medication- and test-related cost conversations with healthcare providers to identify their preferences for future informatics tools to facilitate cost-sensitive care decisions. MATERIALS AND METHODS: We conducted 18 semistructured interviews with diverse patients (ages 24-81) in a Midwestern health system in the United States. We identified themes through 2 rounds of qualitative coding. RESULTS: Patients believed their providers could help reduce medication-related costs but did not see how providers could influence test-related costs. Patients viewed cost conversations about medications as beneficial when providers could adjust medical recommendations or provide resources. However, cost conversations did not always occur when patients felt they were needed. Consequently, patients faced a "cascade of work" to address affordability challenges. To prevent this, collaborative informatics tools could facilitate cost conversations and shared decision-making by providing information about a patient's financial constraints, enabling comparisons of medication/testing options, and addressing transportation logistics to facilitate patient follow-through. DISCUSSION: Like providers, patients want informatics tools that address patient out-of-pocket costs. They want to discuss healthcare costs to reduce the frequency of unaffordable costs and obtain proactive assistance. Informatics interventions could minimize the cascade of patient work through shared decision-making and preventative actions. Such tools might integrate information about efficacy, costs, and side effects to support decisions, present patient decision aids, facilitate coordination among healthcare units, and eventually improve patient outcomes. CONCLUSION: To prevent a burdensome cascade of work for patients, informatics tools could be designed to support cost conversations and decisions between patients and providers.

Application of Mixed Methods in Health Services Management Research: A Systematic Review.

Mixed methods research (MMR) is versatile, pragmatic, and adaptable to constraints and opportunities during a research process. Although MMR has gain popularity in health services management research, little is known about how the research approach has been used and the quality of research. We conducted a systematic review of 198 MMR articles published in selected U.S.-based and international health services management journals from 2000 through 2018 to examine the extent of MMR application and scientific rigor. Results showed limited, yet increasing, use of MMR and a high degree of correspondence between MMR designs and study purposes. However, most articles did not clearly justify using MMR designs and the reporting of method details and research integration were inadequate in a significant portion of publications. We propose a checklist to assist the preparation and review of MMR manuscripts. Additional implications and recommendations to improve transparency, rigor, and quality in MMR are discussed.

Estimation of Potential Deaths Averted From Hypothetical US Income Support Policies.

Importance: Income has a negative, nonlinear association with all-cause mortality. Income support policies may prevent deaths among low-income populations by raising their incomes. Objective: To estimate the deaths that could be averted among working-age adults age 18 to 64 years with hypothetical income support policies in the US. Design Setting and Population: An open, multicohort life-table model was developed that simulated working-age adults age 18 to 64 years in the US over 5 to 40 years. Publicly available household income data and previous estimates of the income-mortality association were used to generate mortality rates by income group. Deterministic sensitivity analyses were conducted to evaluate the effect of parameter uncertainty and various model assumptions on the findings. Interventions: In addition to a no-intervention scenario, 4 hypothetical income support policies were modeled: universal basic income, modified LIFT Act, poverty alleviation, and negative income tax. Main Outcome and Measures: The main outcome was the number of deaths averted, which was calculated by subtracting the number of deaths experienced in the no-intervention scenario from the number of deaths experienced with the various income support policies. Results: Base-case assumptions used average mortality rates by age, sex, and income group, a 20-year time horizon, and a 3-year lag time. Universal basic income worth $12 000 per year per individual was estimated to avert the most deaths among working-age adults (42 000-104 000 per year), followed by a negative income tax that guaranteed an income of 133% of the federal poverty level (19 000-67 000 per year). A modified LIFT Act that provided $6000 to individuals with annual household incomes less than $100 000 was estimated to avert 17 000 to 52 000 deaths per year. A targeted approach that alleviated poverty was estimated to prevent 12 000 to 32 000 deaths among the lowest-income, working-age adult population. Results were most sensitive to several inputs and assumptions, primarily the income-based mortality rates, analytic time horizon, and assumed time lag between when a policy was implemented and when individuals experienced the mortality benefit of having higher incomes. Conclusions and Relevance: In this modeling study, 4 hypothetical income support policies were estimated to avert thousands of deaths among working-age US adults every year. Additional research is needed to understand the true association of income gains with mortality. Discussions about the costs and benefits of income support policies should include potential gains in health.

Evaluation of Family Caregivers' Use of Their Adult Care Recipient's Patient Portal From the 2019 Health Information National Trends Survey: Secondary Analysis.

BACKGROUND: Patient engagement is critical for realizing the value of telehealth modalities such as the patient portal. Family caregiver engagement may also be critical for facilitating the use of the patient portal among adult patients, including older adults. OBJECTIVE: This study aims to analyze the 2019 Health Information National Trends Survey to characterize family caregivers' use of their care recipient's patient portal in terms of sociodemographic, health, and caregiving characteristics and caregivers' use of their own portal. METHODS: We conducted a secondary analysis of cross-sectional data from the National Cancer Institute's Health Information National Trends Survey 5 Cycle 3. This survey was administered to 5438 US adults between January and May 2019. We analyzed data from 320 respondents who were identified as family caregivers. We created measures to reflect family caregivers' use of their care recipient's and their own portal, caregiver demographic and caregiving characteristics, and care recipient health characteristics. RESULTS: Over half of the caregivers (179/320, 55.9%) reported using their own portal at least once, whereas only one-third (105/320, 32.8%) reported using their care recipient's record in the previous 12 months. Caregivers using their own portal were significantly more likely to use their care recipient's portal (odds ratio 11.18; P<.001). CONCLUSIONS: Policies should enable patients to designate family caregivers who can access their patient portal. Providers could screen caregivers for challenges in their caregiving responsibilities that may be addressed through the portal so they can better support their adult relatives. Interventions to support family caregivers, especially older caregivers, in using their own portal may facilitate their use of their care recipient's portal.