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

BACKGROUND: Unmet social needs (SNs) often coexist in distinct patterns within specific population subgroups, yet these patterns are understudied. OBJECTIVE: To identify patterns of social needs (PSNs) and characterize their associations with health-related quality-of-life (HRQoL) and healthcare utilization (HCU). DESIGN: Observational study using data on SNs screening, HRQoL (i.e., low mental and physical health), and 90-day HCU (i.e., emergency visits and hospital admission). Among patients with any SNs, latent class analysis was conducted to identify unique PSNs. For all patients and by race and age subgroups, compared with no SNs, we calculated the risks of poor HRQoL and time to first HCU following SNs screening for each PSN. PATIENTS: Adult patients undergoing SNs screening at the Mass General Brigham healthcare system in Massachusetts, United States, between March 2018 and January 2023. MAIN MEASURES: SNs included: education, employment, family care, food, housing, medication, transportation, and ability to pay for household utilities. HRQoL was assessed using the Patient-Reported Outcomes Measurement Information System Global-10. KEY RESULTS: Six unique PSNs were identified: "high number of social needs," "food and utility access," "employment needs," "interested in education," "housing instability," and "transportation barriers." In 14,230 patients with HRQoL data, PSNs increased the risks of poor mental health, with risk ratios ranging from 1.07(95%CI:1.01-1.13) to 1.80(95%CI:1.74-1.86). Analysis of poor physical health yielded similar findings, except that the "interested in education" showed a mild protective effect (0.97[95%CI:0.94-1.00]). In 105,110 patients, PSNs increased the risk of 90-day HCU, with hazard ratios ranging from 1.09(95%CI:0.99-1.21) to 1.70(95%CI:1.52-1.90). Findings were generally consistent in subgroup analyses by race and age. CONCLUSIONS: Certain SNs coexist in distinct patterns and result in poorer HRQoL and more HCU. Understanding PSNs allows policymakers, public health practitioners, and social workers to identify at-risk patients and implement integrated, system-wide, and community-based interventions.

Social Determinants of Health Needs and Health-related Quality of Life Among Surgical Patients: A Retrospective Analysis of 8512 Patients.

OBJECTIVE: To assess associations between social determinants of health (SDOH) needs and health-related quality of life (HRQOL) among surgical patients. BACKGROUND: Despite the profound impact of SDOH on health outcomes, studies examining the effect of SDOH needs on HRQOL among surgical patients are limited. METHODS: A retrospective study was conducted using responses from the SDOH needs assessment and the Patient-Reported Outcomes Measurement Information Systems Global Health instrument of adults seen in surgical clinics at a single institution. Patient characteristics including socioeconomic status (insurance type, education level, and employment status) were extracted. Stepwise multivariable logistic regression analyses were performed to identify independent predictors of global health scores. RESULTS: A total of 8512 surgical patients (mean age: 55.6±15.8 years) were included. 25.2% of patients reported one or more SDOH needs. The likelihood of reporting at least one SDOH need varied by patient characteristics and socioeconomic status variables. In fully adjusted regression models, food insecurity [odds ratio (OR), 1.53; 95% CI, 1.38-1.70 and OR, 1.49; 95% CI, 1.22-1.81, respectively], housing instability (OR, 1.27; 95% CI, 1.12-1.43 and OR, 1.39; 95% CI, 1.13-1.70, respectively) lack of transportation (OR, 1.46; 95% CI, 1.27-1.68 and OR, 1.25; 95% CI, 1.00-1.57, respectively), and unmet medication needs (OR, 1.31; 95% CI, 1.13-1.52 and OR, 1.61; 95% CI, 1.28-2.03, respectively) were independent predictors of poor physical and mental health. CONCLUSIONS: SDOH needs are independent predictors of poor patient-reported physical and mental health among surgical patients. Assessing and addressing SDOH needs should be prioritized in health care settings and by policymakers to improve HRQOL.

A Health System Framework for Addressing Structural Racism: Mass General Brigham's United Against Racism Initiative.

The legacy of racism and structural inequality has taken a heavy toll on the health care system and the health outcomes of patients and members of community catchment areas. To achieve optimal health outcomes for all, health systems will need to enact structural change that is meaningful, measurable, and rooted in evidence. We describe an antiracism campaign organized into three pillars of focus (Leadership/Employees/Culture, Patient Care Equity, and Community Health and Policy Advocacy) and implemented across Mass General Brigham, a large integrated health system in the northeast of the United States. Our study ranges from the foundational to the aspirational and examples of data-driven areas of focus, programs (e.g., staff education, social risk mitigation, and new models of clinical service), and metrics developed for the health care workforce, patients, and surrounding communities are presented.

Transcending Language Barriers in Obstetrics and Gynecology: A Critical Dimension for Health Equity.

There is growing evidence that language discordance between patients and their health care teams negatively affects quality of care, experience of care, and health outcomes, yet there is limited guidance on best practices for advancing equitable care for patients who have language barriers within obstetrics and gynecology. In this commentary, we present two cases of language-discordant care and a framework for addressing language as a critical lens for health inequities in obstetrics and gynecology, which includes a variety of clinical settings such as labor and delivery, perioperative care, outpatient clinics, and inpatient services, as well as sensitivity around reproductive health topics. The proposed framework explores drivers of language-related inequities at the clinician, health system, and societal level. We end with actionable recommendations for enhancing equitable care for patients experiencing language barriers. Because language and communication barriers undergird other structural drivers of inequities in reproductive health outcomes, we urge obstetrician-gynecologists to prioritize improving care for patients experiencing language barriers.

Trends in State-Level Maternal Mortality by Racial and Ethnic Group in the United States.

Importance: Evidence suggests that maternal mortality has been increasing in the US. Comprehensive estimates do not exist. Long-term trends in maternal mortality ratios (MMRs) for all states by racial and ethnic groups were estimated. Objective: To quantify trends in MMRs (maternal deaths per 100 000 live births) by state for 5 mutually exclusive racial and ethnic groups using a bayesian extension of the generalized linear model network. Design, Setting, and Participants: Observational study using vital registration and census data from 1999 to 2019 in the US. Pregnant or recently pregnant individuals aged 10 to 54 years were included. Main Outcomes and Measures: MMRs. Results: In 2019, MMRs in most states were higher among American Indian and Alaska Native and Black populations than among Asian, Native Hawaiian, or Other Pacific Islander; Hispanic; and White populations. Between 1999 and 2019, observed median state MMRs increased from 14.0 (IQR, 5.7-23.9) to 49.2 (IQR, 14.4-88.0) among the American Indian and Alaska Native population, 26.7 (IQR, 18.3-32.9) to 55.4 (IQR, 31.6-74.5) among the Black population, 9.6 (IQR, 5.7-12.6) to 20.9 (IQR, 12.1-32.8) among the Asian, Native Hawaiian, or Other Pacific Islander population, 9.6 (IQR, 6.9-11.6) to 19.1 (IQR, 11.6-24.9) among the Hispanic population, and 9.4 (IQR, 7.4-11.4) to 26.3 (IQR, 20.3-33.3) among the White population. In each year between 1999 and 2019, the Black population had the highest median state MMR. The American Indian and Alaska Native population had the largest increases in median state MMRs between 1999 and 2019. Since 1999, the median of state MMRs has increased for all racial and ethnic groups in the US and the American Indian and Alaska Native; Asian, Native Hawaiian, or Other Pacific Islander; and Black populations each observed their highest median state MMRs in 2019. Conclusion and Relevance: While maternal mortality remains unacceptably high among all racial and ethnic groups in the US, American Indian and Alaska Native and Black individuals are at increased risk, particularly in several states where these inequities had not been previously highlighted. Median state MMRs for the American Indian and Alaska Native and Asian, Native Hawaiian, or Other Pacific Islander populations continue to increase, even after the adoption of a pregnancy checkbox on death certificates. Median state MMR for the Black population remains the highest in the US. Comprehensive mortality surveillance for all states via vital registration identifies states and racial and ethnic groups with the greatest potential to improve maternal mortality. Maternal mortality persists as a source of worsening disparities in many US states and prevention efforts during this study period appear to have had a limited impact in addressing this health crisis.

"The Name of This is Fourth Trimester. A Lot of People Don't Know About it": A Qualitative Analysis to Inform the Development of a Web-Based Tool.

OBJECTIVE: The purpose of this qualitative study is to understand the pregnant and postpartum experiences of Black women in the United States to inform the development of a web-based mobile tool. METHODS: Participants were recruited through Facebook Groups. There were a total of 19 women that participated in one of five focus group discussions. Participants ranged from being in their 3rd trimester of pregnancy through 6 months postpartum. Thematic content analysis was performed to identify emerging themes. RESULTS: Four themes emerged from the focus group discussions: beliefs about postpartum motherhood, experiences during pregnancy, experiences of the postpartum period, and tool recommendations. Key results from these themes demonstrated the difficulties that women faced in having their concerns resolved by healthcare professionals, receiving adequate educational and social support during the COVID-19 pandemic, and having adequate information to help breastfeed and cope with changes they experienced throughout the postpartum period. CONCLUSION: The results highlight the difficulties that Black women experienced throughout pregnancy and the postpartum period. The main findings show that women lacked support in receiving information about the postpartum period, had their concerns dismissed by healthcare professionals, and received inadequate support. These findings can inform the practice of healthcare professionals and inform the development of other non-clinical, digital resources to fill in these gaps. Future research in this area is planned to further develop and pilot the tool among a broader population of women.

Availability Versus Accessibility: Identifying COVID-19 Testing Deserts Across Massachusetts.

Throughout the COVID-19 pandemic, communities of color have faced significantly higher rates of COVID-19 infection, as well as poor clinical outcomes. These differences are driven by long-standing structural inequities that prevent effective social distancing efforts and are further exacerbated by disparities in COVID-19 testing. Our study applied the concept of "COVID-19 testing deserts" to systematically identify gaps in testing resource allocation across Massachusetts in May 2020 and March 2021. Testing deserts were identified at the census tract level, using criteria developed by the Department of Agriculture for food deserts. Testing deserts occurred more frequently in segregated Hispanic, segregated Black, mixed minority, and integrated communities, as well as in neighborhoods with low vehicle access and in federally designated Medically Underserved Areas. Segregated communities were those in which more than 50 percent of the population self-identified as non-Hispanic White, Hispanic, non-Hispanic Black, or non-Hispanic Asian, respectively. Testing deserts were overrepresented in counties with high COVID-19 incidence rates, suggesting that testing accessibility is essential for prompt COVID-19 diagnosis and self-isolation.

The Power and Promise of Postpartum Self Care: Evaluation of a Web-Based Tool for Underserved Women.

OBJECTIVES: Joyuus is a culturally diverse, comprehensive online tool designed to address the self-care needs of underserved postpartum women. The tool provides actionable self-care information, knowledge, and skills to improve postpartum health and identifies red flags for when self-care shifts to seeking care. METHODS: We employed a mixed-methods multiphase design to evaluate the Joyuus prototype, including a pre-post evaluation (N = 87) to assess behavioral health outcomes before and after using the tool for a one-month period. 91% completed the post-test (N = 79). The analysis focused on estimation of treatment effect (via 95% confidence intervals) and fitness of instruments in this population. RESULTS: Participants were between 6 months pregnant and one year postpartum, a mean age of 30 years, 100% female, 99% Black, with nearly equal distribution of married (55%) and not married (44%), and above (47%) and below (46%) annual income of $60 K. Key measures saw significant improvement from pre- (mean = 26.44, SD = 5.39) to post (mean = 28.29, SD = 5.26) on the Connor-Davidson Resilience Scale (p < 0.001) Trends toward improvement (not statistically significant) were noted for Depression (EPDS) (p = 0.624) and Anxiety (STAI) (p = 0.286), and no meaningful change on MOS Social Support or COVID-19 Mental Health Impacts Measures. CONCLUSIONS FOR PRACTICE: This pilot study demonstrates that a self-care mobile tool has the potential to address significant health outcomes related to maternal morbidity and mortality. By providing a continuously available companion addressing physical, mental, and real-life questions, it creates value during postpartum for mothers who can often feel overwhelmed or isolated.

Disparities from bedside to "webside": barriers to achieving equity in telemedicine in obstetrics.

Given the urgency of the COVID-19 pandemic, telehealth was swiftly implemented in the United States and shifted from an optional to an essential modality of care. This was important in both maintaining continuity of care, especially for those with chronic illnesses, and in evaluating individuals presenting with illness or acute needs. One of the primary benefits of telemedicine is convenience; however, this is juxtaposed with the various downsides that result from a lack of physical appointments and accessible technology. Notably, there are large barriers to achieving equity for certain communities, of which the most apparent is the "digital divide" that results from a lack of adequate broadband infrastructure and lower technology literacy among members of certain communities and those in rural areas. Without attention to factors that can improve availability, uptake, and experience, disparities will increase with telemedicine. As this technology becomes common practice, it will be important to provide equal reimbursement for in-person and telehealth visits, center patient design and cultural competency in telemedicine programs, and improve broadband and technology access, ensuring that the highest-quality care is delivered to all patients.

Redefining Child Protection: Addressing the Harms of Structural Racism and Punitive Approaches for Birthing People, Dyads, and Families Affected by Substance Use.

There has been growing attention on the effect of substance use, including opioid use disorder, on pregnant and birthing people and their infants. Although effective medication treatment for opioid use disorder is the standard of care, racial disparities are evident in access during pregnancy. Structural racism affects treatment access and approaches to reporting to child welfare services. Black people and their newborns are more likely to be drug tested in medical settings, and Black newborns are more likely to be reported to child welfare services. Child welfare models often focus on substance use as being the dominant issue that drives risk for abuse or neglect of a child, and current reporting practices, which vary by state, contribute to these disparities. This commentary proposes an alternate way of thinking about family-based support. We suggest changes to law, institutional policy, clinical care, and ideology. Specifically, we propose realigning around shared goals of supporting the birthing person-infant dyad and recognizing that substance use is not synonymous with abuse or neglect; creating an anonymous notification process outside of the child welfare system to meet federal data-collection requirements; limiting perinatal drug testing and requiring written, informed consent for parental and neonatal testing; and developing integrated care teams and hospital settings and policies that support dyadic care.

Toward the elimination of race-based medicine: replace race with racism as preeclampsia risk factor.

Pregnancy-related morbidity and mortality continue to disproportionately affect birthing people who identify as Black. The use of race-based risk factors in medicine exacerbates racial health inequities by insinuating a false conflation that fails to consider the underlying impact of racism. As we work toward health equity, we must remove race as a risk factor in our guidelines to address disparities due to racism. This includes the most recent US Preventive Services Taskforce, American College of Obstetricians and Gynecologists, and Society for Maternal-Fetal Medicine guidelines for aspirin prophylaxis in preeclampsia, where the risk factor for "Black race" should be replaced with "anti-Black racism." In this commentary, we reviewed the evidence that supports race as a sociopolitical construct and the health impacts of racism. We presented a call to action to remove racial determination in the guidelines for aspirin prophylaxis in preeclampsia and more broadly in our practice of medicine.

Mode of Delivery and Unplanned Cesarean: Differences in Rates and Indication by Race, Ethnicity, and Sociodemographic Characteristics.

OBJECTIVE: We aimed to examine the relationship of sociodemographic variables with racial/ethnic disparities in unplanned cesarean births in a large academic hospital system. Secondarily, we investigated the relationship of these variables with differences in cesarean delivery indication, cesarean delivery timing, length of second stage and operative delivery. STUDY DESIGN: We conducted a retrospective cohort study of births >34 weeks between 2017 and 2019. Our primary outcome was unplanned cesarean delivery after a trial of labor. Multiple gestations, vaginal birth after cesarean, elective repeat or primary cesarean delivery, and contraindications for vaginal delivery were excluded. Associations between mode of delivery and patient characteristics were assessed using Chi-square, Fisher exact tests, or t-tests. Odds ratios were estimated by multivariate logistic regression. Goodness of fit was assessed with Hosmer Lemeshow test. RESULTS: Among 18,946 deliveries, the rate of cesarean delivery was 14.8% overall and 21.3% in nulliparous patients. After adjustment for age, body mass index (BMI), and parity, women of Black and Asian races had significantly increased odds of unplanned cesarean delivery; 1.69 (95% CI: 1.45,1.96) and 1.23 (1.08, 1.40), respectively. Single Hispanic women had adjusted odds of 1.65 (1.08, 2.54). Single women had increased adjusted odds of cesarean delivery of 1.18, (1.05, 1.31). Fetal intolerance was the indication for 39% (613) of cesarean deliveries among White women as compared to 63% (231) of Black women and 49% (71) of Hispanic women (p <0.001). CONCLUSION: Rates of unplanned cesarean delivery were significantly higher in Black and Asian compared to White women, even after adjustment for age, BMI, parity, and zip code income strata, and rates of unplanned cesarean delivery were higher for Hispanic women self-identifying as single. Racial and ethnic differences were seen in cesarean delivery indications and operative vaginal deliveries. Future work is urgently needed to better understand differences in provider care or patient attributes, and potential provider bias, that may contribute to these findings. KEY POINTS: · Racial, ethnic, and socioeconomic differences exist in the odds of unplanned cesarean.. · Indications for unplanned cesarean delivery differed significantly among racial and ethnic groups.. · There may be unmeasured provider level factors which contribute to disparities in cesarean rates..

Perinatal Opioid Use Disorder Research, Race, and Racism: A Scoping Review.

CONTEXT: Racial/ethnic inequities are well documented in both maternal-infant health and substance use disorder treatment outcomes. OBJECTIVE: To systematically review research on maternal-infant dyads affected by opioid use disorder (OUD) to evaluate for racial/ethnic disparities in health utilization or outcomes and critically assess the reporting and inclusion of race/ethnicity data. DATA SOURCES: Peer-reviewed literature in MEDLINE, Embase, and Web of Science from 2000 to 2020. STUDY SELECTION: Research reporting health utilization and outcomes data on dyads affected by OUD during pregnancy through the infant's first birthday. DATA EXTRACTION: We extracted data on race/ethnicity, study exposures/outcomes, how race/ethnicity data were analyzed, how authors discussed findings associated with race/ethnicity, and whether racism was mentioned as an explanation for findings. RESULTS: Of 2023 articles reviewed, 152 quantitative and 17 qualitative studies were included. Among quantitative studies, 66% examined infant outcomes (n = 101). Three articles explicitly focused on evaluating racial/ethnic differences among dyads. Among quantitative studies, 112 mentioned race/ethnicity, 63 performed analyses assessing for differences between exposure groups, 27 identified racial/ethnic differences, 22 adjusted outcomes for race/ethnicity in multivariable analyses, and 11 presented adjusted models stratified by race/ethnicity. None of the qualitative studies addressed the role that race, ethnicity, or racism may have had on the presented themes. CONCLUSIONS: Few studies were designed to evaluate racial/ethnic inequities among maternal-infant dyads affected by OUD. Data on race/ethnicity have been poorly reported in this literature. To achieve health equity across perinatal OUD, researchers should prioritize the inclusion of marginalized groups to better address the role that structural racism plays.

Delayed diagnosis and racial bias in children with genetic conditions.

As more therapeutics for genetic conditions become available, the need for timely and equitable genetic diagnosis has become urgent. Using clinical cases, we consider the health system-, provider-, and patient-level factors that contribute to the delayed diagnosis of genetic conditions in pediatric patients from minority populations, leading to health disparities between racial groups. We then provide suggestions to address these factors, with the aim of improving minority health and access to genetic care for all children.

Prolonged Second Stage of Labor and Anal Sphincter Injury in a Contemporary Cohort of Term Nulliparas.

OBJECTIVE: This study aimed to assess whether a prolonged second stage of labor is an independent predictor of obstetric anal sphincter injury (OASI) in a contemporary cohort of nulliparous and term parturients, and to evaluate whether predelivery factors can accurately predict OASI. STUDY DESIGN: This was a nested case-control study within a cohort of consecutive nulliparous term parturients with a singleton gestation who underwent a vaginal delivery at a single institution between January 2014 and January 2015. Cases were defined as women with a third- or fourth-degree laceration at the time of delivery, and controls were women without a third- or fourth-degree laceration. A prolonged second stage was defined as a second stage of ≥3 hours. Univariable and multivariable regression analyses were performed to examine the relationship between prolonged second stage of labor and third- or fourth-degree lacerations. Receiver operator curves were developed to assess the predictive capacity of predelivery information for third- and fourth-degree lacerations. RESULTS: Of 1,197 births, 63 women had third- or fourth-degree lacerations (5.3%). With each additional hour of the second stage, the rate of OASI increased, with 2.9% of women with a second stage of <1 hour with OASI, 3.5% between 1 and 2 hours, 5.7% between 2 and 3 hours, 7.8% between 3 and 4 hours, 16.1% between 4 and 5 hours, and 28.6% among women with a second stage length >5 hours (p < 0.001). In multivariable regression analysis, operative vaginal delivery (adjusted odds ratio [aOR] = 5.92, 95% confidence interval [CI]: 3.17-11.07) and a prolonged second stage (aOR = 1.92, 95% CI: 1.06-3.51) were independent predictors of third- and fourth-degree lacerations. A predictive model was developed from these results (area under the curve [AUC] = 0.75, 95% CI: 0.68-0.81). CONCLUSION: Prolonged second stage of labor is a predictor of OASI, after adjustment for operative vaginal delivery. A model using predelivery risk factors has a reasonable prediction of OASI. KEY POINTS: · Prolonged second stage labor is associated with obstetric anal sphincter injury in term nulliparas.. · Predelivery risk factors reasonably predict obstetric anal sphincter injury in term nulliparas.. · Improved models are needed for clinical risk-stratification..

Society for Maternal-Fetal Medicine Special Statement: Race in maternal-fetal medicine research- Dispelling myths and taking an accurate, antiracist approach.

Profound inequities in maternal and infant outcomes based on race exist, and the maternal-fetal medicine community has an important role in eliminating these disparities. Accurately employing race and ethnicity as social constructs within research that guides clinical practice is essential to achieving health equity. We must abandon commonly propagated myths that race is a surrogate for genetics or economic status and that data are exempt from potential bias. These myths can lead to harmful misconceptions that exacerbate racial disparities in maternal and infant health outcomes. Furthermore, these myths obscure racism as the true underlying etiology of racial disparities. Understanding that race is a social construct and using an antiracist approach to research are essential in combating racism and eliminating unacceptable disparities in maternal and infant health. This document provides specific suggestions to approach the research process with an antiracist framework.

The confounder matrix: A tool to assess confounding bias in systematic reviews of observational studies of etiology.

Systematic reviews and meta-analyses are essential for drawing conclusions regarding etiologic associations between exposures or interventions and health outcomes. Observational studies comprise a substantive source of the evidence base. One major threat to their validity is residual confounding, which may occur when component studies adjust for different sets of confounders, fail to control for important confounders, or have classification errors resulting in only partial control of measured confounders. We present the confounder matrix-an approach for defining and summarizing adequate confounding control in systematic reviews of observational studies and incorporating this assessment into meta-analyses. First, an expert group reaches consensus regarding the core confounders that should be controlled and the best available method for their measurement. Second, a matrix graphically depicts how each component study accounted for each confounder. Third, the assessment of control adequacy informs quantitative synthesis. We illustrate the approach with studies of the association between short interpregnancy intervals and preterm birth. Our findings suggest that uncontrolled confounding, notably by reproductive history and sociodemographics, resulted in exaggerated estimates. Moreover, no studies adequately controlled for all core confounders, so we suspect residual confounding is present, even among studies with better control. The confounder matrix serves as an extension of previously published methodological guidance for observational research synthesis, enabling transparent reporting of confounding control and directly informing meta-analysis so that conclusions are drawn from the best available evidence. Widespread application could raise awareness about gaps across a body of work and allow for more valid inference with respect to confounder control.