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Health equity exists when everyone has an equal opportunity to achieve their highest level of health. Effective communication is essential to ensure a therapeutic relationship. Patients with limited English proficiency (LEP) experience communication barriers, leading to poorer outcomes. Federal regulation requires hospitals to provide medically trained interpreters; however, this does not always occur. We identified 3 broad areas of research: communication barriers, outcomes, and costs. Findings highlight the challenges patients with LEP face in the health-care system, and the need for targeted interventions to enhance language access, improve cultural competence among health-care professionals, and ensure equitable outcomes for all.

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BACKGROUND: Timely primary care follow-up after acute care discharge may improve outcomes. OBJECTIVE: To evaluate whether post-discharge follow-up rates differ among patients discharged from hospitals directly affiliated with their primary care clinic (same-site), other hospitals within their health system (same-system), and hospitals outside their health system (outside-system). DESIGN: Retrospective cohort study. PATIENTS: Adult patients of five primary care clinics within a 14-hospital health system who were discharged home after a hospitalization or emergency department (ED) stay. MAIN MEASURES: Primary care visit within 14 days of discharge. A multivariable Poisson regression model was used to estimate adjusted rate ratios (aRRs) and risk differences (aRDs), controlling for sociodemographics, acute visit characteristics, and clinic characteristics. KEY RESULTS: The study included 14,310 discharges (mean age 58.4 [SD 19.0], 59.5% female, 59.5% White, 30.3% Black), of which 57.7% were from the same-site, 14.3% same-system, and 27.9% outside-system. By 14 days, 34.5% of patients discharged from the same-site hospital received primary care follow-up compared to 27.7% of same-system discharges (aRR 0.88, 95% CI 0.79 to 0.98; aRD - 6.5 percentage points (pp), 95% CI - 11.6 to - 1.5) and 20.9% of outside-system discharges (aRR 0.77, 95% CI [0.70 to 0.85]; aRD - 11.9 pp, 95% CI - 16.2 to - 7.7). Differences were greater for hospital discharges than ED discharges (e.g., aRD between same-site and outside-system - 13.5 pp [95% CI, - 20.8 to - 8.3] for hospital discharges and - 10.1 pp [95% CI, - 15.2 to - 5.0] for ED discharges). CONCLUSIONS: Patients discharged from a hospital closely affiliated with their primary care clinic were more likely to receive timely follow-up than those discharged from other hospitals within and outside their health system. Improving care transitions requires coordination across both care settings and health systems.

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Importance: The 2022 US Supreme Court decision Dobbs v Jackson Women's Health Organization overturned federal protections to abortion care, allowing many states to severely restrict or ban access to abortion. Given the implications of the Dobbs ruling, there is a need to understand the full consequences of restricted abortion access. Before 2022, many states restricted access to safe and legal abortions through Targeted Regulation of Abortion Providers (TRAP) laws, which provide a historical mode for estimating the consequences of abortion restrictions. Objective: To use TRAP law enactment as a natural experiment to quantify the association between restricted abortion access and foster care entries. Design, Setting, and Participants: In this cohort study, data on the enactment of TRAP laws and case-level data on foster care entries were used to estimate the association between restricted abortion access and foster care entries in each of the 50 US states and the District of Columbia. The sample included children conceived between January 1, 1990, and December 31, 2011, who were placed into foster care at any point between January 1, 2000, and December 31, 2020. Data analysis was performed from January 2023 to July 2023. Exposures: Restricted abortion access due to state-level TRAP laws during pregnancy. Main Outcomes and Measures: The main outcome was the number of children entering foster care in each state, measured by year of child conception. The analysis was performed using a generalized difference-in-differences design, comparing entries into foster care in states with TRAP laws to states without TRAP laws, before and after their implementation. Results: This study included 4 179 701 children who were placed into foster care during the study period, with 11 016 561 entries. More than half of the children were male (51.4%), and the mean (SD) age was 7.4 (5.2) years. There was an 11% increase in foster care placement after abortion access was restricted in states with TRAP laws, relative to states without TRAP laws (incidence rate ratio [IRR], 1.11 [95% CI, 1.01-1.23]). These laws had significant consequences for Black children (IRR, 1.15 [95% CI, 1.05-1.28]) and racial and ethnic minority children (IRR, 1.15 [95% CI, 1.02-1.30]). The increase in entries due to TRAP laws was particularly attributable to housing inadequacy (IRR, 1.21 [95% CI, 1.11-1.32]). Conclusions and Relevance: Restricted abortion access can have numerous consequences, and these findings reveal a heightened strain on the US foster care system, particularly affecting marginalized racial and ethnic communities and financially vulnerable families. These placements have been shown to have lifelong consequences for children and substantial costs for both states and the federal government. To further examine the widespread implications of the overturning of Roe v Wade, future studies should forecast the expected increase in foster care entries and estimate the expenditure needed to support these children.

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OBJECTIVES: Pregnancy provides a critical opportunity to engage individuals with opioid use disorder in care. However, before the COVID-19 pandemic, there were multiple barriers to accessing buprenorphine/naloxone during pregnancy. Care disruptions during the pandemic may have further exacerbated these existing barriers. To quantify these changes, we examined trends in the number of individuals filling buprenorphine/naloxone prescriptions during the COVID-19 pandemic. METHODS: We estimated an interrupted time series model using linked national pharmacy claims and medical claims data from prepandemic (May 2019 to February 2020) to the pandemic period (April 2020 to December 2020). We estimated changes in the growth rate in the monthly number of individuals filling buprenorphine/naloxone prescriptions in the 6 months preceding a delivery claim, per 100,000 pregnancies, during the COVID-19 pandemic. RESULTS: We identified 2947 pregnant individuals filling buprenorphine/naloxone prescriptions. Before the pandemic, there was positive growth in the monthly number of individuals filling buprenorphine/naloxone prescriptions (4.83%; 95% confidence interval [CI], 3.82-5.84%). During the pandemic, this monthly growth rate declined for both individuals on commercial insurance and individuals on Medicaid (all payers: -5.53% [95% CI, -6.65% to -4.41%]; Medicaid: -7.66% [95% CI, -10.14% to -5.18%]; Commercial: -3.59% [95% CI, -5.32% to -1.87%]). CONCLUSION: The number of pregnant individuals filling buprenorphine/naloxone prescriptions was increasing, but this growth has been lost during the pandemic.

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BACKGROUND: Critical care nurses (CCNs) experience a higher level of stress and burnout than nurses in other specialties. Approximately 50% of CCNs are mildly stressed, and almost 20% are moderately stressed. Prolonged periods of stress can lead to burnout, which has been shown to have deleterious effects on quality and patient safety. OBJECTIVES: The purpose of this study is to determine the prevalence of burnout among a national sample of CCNs and the association with environmental factors. METHODS: A national survey of CCNs working in the United States was implemented using an exploratory descriptive design. The anonymous survey was developed iteratively according to best practices of survey design. The survey included the Perceived Stress Scale and the Copenhagen Burnout Inventory tool. Pretesting and pilot testing were conducted with CCN specialists, and the survey was revised based on their feedback. An anonymous link was distributed to respondents using convenience sampling through social media and further disseminated via snowball sampling. RESULTS: Two hundred seventy nurses responded to the survey. The mean (SD) Perceived Stress Scale score in the study population was 18.5 (6.4), indicating moderate stress. The mean (SD) Copenhagen Burnout Inventory score was 61.9 (16.5), indicating moderate burnout. Our study found that the overall health of the work environment was one of the most important factors associated with both stress and burnout. CONCLUSIONS: This study has demonstrated the relationship between the health of the work environment and burnout among CCNs. It is imperative that health care organizations evaluate and implement strategies to optimize the health of the work environment to mitigate burnout and its negative sequelae on the nurse, patient, and system.

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This cross-sectional study quantifies trends in discarded drug spending since the onset of mandated reporting.

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Importance: The dramatic rise in use of telehealth accelerated by COVID-19 created new telehealth-specific challenges as patients and clinicians adapted to technical aspects of video visits. Objective: To evaluate a telehealth patient navigator pilot program to assist patients in overcoming barriers to video visit access. Design, Setting, and Participants: This quality improvement study investigated visit attendance outcomes among those who received navigator outreach (intervention group) compared with those who did not (comparator group) at 2 US academic primary care clinics during a 12-week study period from April to July 2021. Eligible participants had a scheduled video visit without previous successful telehealth visits. Interventions: The navigator contacted patients with next-day scheduled video appointments by phone to offer technical assistance and answer questions on accessing the appointment. Main Outcomes and Measures: The primary outcome was appointment attendance following the intervention. Return on investment (ROI) accounting for increased clinic adherence and costs of implementation was examined as a secondary outcome. Results: A total 4066 patients had video appointments scheduled (2553 [62.8%] women; median [IQR] age: intervention, 55 years [38-66 years] vs comparator, 52 years [36-66 years]; P = .02). Patients who received the navigator intervention had significantly increased odds of attending their appointments (odds ratio, 2.0; 95% CI, 1.6-2.6) when compared with the comparator group, with an absolute increase of 9% in appointment attendance for the navigator group (949 of 1035 patients [91.6%] vs 2511 of 3031 patients [82.8%]). The program's ROI was $11 387 over the 12-week period. Conclusions and Relevance: In this quality improvement study, we found that a telehealth navigator program was associated with significant improvement in video visit adherence with a net financial gain. Our findings have relevance for efforts to reduce barriers to telehealth-based health care and increase equity.

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We estimated the degree to which language used in the high-profile medical/public health/epidemiology literature implied causality using language linking exposures to outcomes and action recommendations; examined disconnects between language and recommendations; identified the most common linking phrases; and estimated how strongly linking phrases imply causality. We searched for and screened 1,170 articles from 18 high-profile journals (65 per journal) published from 2010-2019. Based on written framing and systematic guidance, 3 reviewers rated the degree of causality implied in abstracts and full text for exposure/outcome linking language and action recommendations. Reviewers rated the causal implication of exposure/outcome linking language as none (no causal implication) in 13.8%, weak in 34.2%, moderate in 33.2%, and strong in 18.7% of abstracts. The implied causality of action recommendations was higher than the implied causality of linking sentences for 44.5% or commensurate for 40.3% of articles. The most common linking word in abstracts was "associate" (45.7%). Reviewers' ratings of linking word roots were highly heterogeneous; over half of reviewers rated "association" as having at least some causal implication. This research undercuts the assumption that avoiding "causal" words leads to clarity of interpretation in medical research.

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Importance: Crisis standards of care (CSOC) scores designed to allocate scarce resources during the COVID-19 pandemic could exacerbate racial disparities in health care. Objective: To analyze the association of a CSOC scoring system with resource prioritization and estimated excess mortality by race, ethnicity, and residence in a socially vulnerable area. Design, Setting, and Participants: This retrospective cohort analysis included adult patients in the intensive care unit during a regional COVID-19 surge from April 13 to May 22, 2020, at 6 hospitals in a health care network in greater Boston, Massachusetts. Participants were scored by acute severity of illness using the Sequential Organ Failure Assessment score and chronic severity of illness using comorbidity and life expectancy scores, and only participants with complete scores were included. The score was ordinal, with cutoff points suggested by the Massachusetts guidelines. Exposures: Race, ethnicity, Social Vulnerability Index. Main Outcomes and Measures: The primary outcome was proportion of patients in the lowest priority score category stratified by self-reported race. Secondary outcomes were discrimination and calibration of the score overall and by race, ethnicity, and neighborhood Social Vulnerability Index. Projected excess deaths were modeled by race, using the priority scoring system and a random lottery. Results: Of 608 patients in the intensive care unit during the study period, 498 had complete data and were included in the analysis; this population had a median (IQR) age of 67 (56-75) years, 191 (38.4%) female participants, 79 (15.9%) Black participants, and 225 patients (45.7%) with COVID-19. The area under the receiver operating characteristic curve for the priority score was 0.79 and was similar across racial groups. Black patients were more likely than others to be in the lowest priority group (12 [15.2%] vs 34 [8.1%]; P = .046). In an exploratory simulation model using the score for ventilator allocation, with only those in the highest priority group receiving ventilators, there were 43.9% excess deaths among Black patients (18 of 41 patients) and 28.6% (58 of 203 patients among all others (P = .05); when the highest and intermediate priority groups received ventilators, there were 4.9% (2 of 41 patients) excess deaths among Black patients and 3.0% (6 of 203) among all others (P = .53). A random lottery resulted in more excess deaths than the score. Conclusions and Relevance: In this study, a CSOC priority score resulted in lower prioritization of Black patients to receive scarce resources. A model using a random lottery resulted in more estimated excess deaths overall without improving equity by race. CSOC policies must be evaluated for their potential association with racial disparities in health care.

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BACKGROUND/OBJECTIVES: Transitional care management (TCM) visits delivered following hospitalization have been associated with reductions in mortality, readmissions, and total costs; however, uptake remains low. We sought to describe trends in TCM visit delivery during the COVID-19 pandemic. DESIGN: Cross-sectional study of ambulatory electronic health records from December 30, 2019 and January 3, 2021. SETTING: United States. PARTICIPANTS: Forty four thousand six hundred and eighty-one patients receiving transitional care management services. MEASUREMENTS: Weekly rates of in-person and telehealth TCM visits before COVID-19 was declared a national emergency (December 30, 2019 to March 15, 2020), during the initial pandemic period (March 16, 2020 to April 12, 2020) and later period (April 12, 2020 to January 3, 2021). Characteristics of patients receiving in-person and telehealth TCM visits were compared. RESULTS: A total of 44,681 TCM visits occurred during the study period with the majority of patients receiving TCM visits age 65 years and older (68.0%) and female (55.0%) Prior to the COVID-19 pandemic, nearly all TCM visits were conducted in-person. In the initial pandemic, there was an immediate decline in overall TCM visits and a rise in telehealth TCM visits, accounting for 15.4% of TCM visits during this period. In the later pandemic, the average weekly number of TCM visits was 841 and 14.0% were telehealth. During the initial and later pandemic periods, 73.3% and 33.6% of COVID-19-related TCM visits were conducted by telehealth, respectively. Across periods, patterns of telehealth use for TCM visits were similar for younger and older adults. CONCLUSION: The study findings highlight a novel and sustained shift to providing TCM services via telehealth during the COVID-19 pandemic, which may reduce barriers to accessing a high-value service for older adults during a vulnerable transition period. Further investigations comparing outcomes of in-person and telehealth TCM visits are needed to inform innovation in ambulatory post-discharge care.

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Importance: Alternative methods for hospital occupancy forecasting, essential information in hospital crisis planning, are necessary in a novel pandemic when traditional data sources such as disease testing are limited. Objective: To determine whether mandatory daily employee symptom attestation data can be used as syndromic surveillance to estimate COVID-19 hospitalizations in the communities where employees live. Design, Setting, and Participants: This cohort study was conducted from April 2, 2020, to November 4, 2020, at a large academic hospital network of 10 hospitals accounting for a total of 2384 beds and 136 000 discharges in New England. The participants included 6841 employees who worked on-site at hospital 1 and lived in the 10 hospitals' service areas. Exposure: Daily employee self-reported symptoms were collected using an automated text messaging system from a single hospital. Main Outcomes and Measures: Mean absolute error (MAE) and weighted mean absolute percentage error (MAPE) of 7-day forecasts of daily COVID-19 hospital census at each hospital. Results: Among 6841 employees living within the 10 hospitals' service areas, 5120 (74.8%) were female individuals and 3884 (56.8%) were White individuals; the mean (SD) age was 40.8 (13.6) years, and the mean (SD) time of service was 8.8 (10.4) years. The study model had a MAE of 6.9 patients with COVID-19 and a weighted MAPE of 1.5% for hospitalizations for the entire hospital network. The individual hospitals had an MAE that ranged from 0.9 to 4.5 patients (weighted MAPE ranged from 2.1% to 16.1%). For context, the mean network all-cause occupancy was 1286 during this period, so an error of 6.9 is only 0.5% of the network mean occupancy. Operationally, this level of error was negligible to the incident command center. At hospital 1, a doubling of the number of employees reporting symptoms (which corresponded to 4 additional employees reporting symptoms at the mean for hospital 1) was associated with a 5% increase in COVID-19 hospitalizations at hospital 1 in 7 days (regression coefficient, 0.05; 95% CI, 0.02-0.07; P < .001). Conclusions and Relevance: This cohort study found that a real-time employee health attestation tool used at a single hospital could be used to estimate subsequent hospitalizations in 7 days at hospitals throughout a larger hospital network in New England.

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BACKGROUND: During the COVID-19 pandemic, many ambulatory clinics transitioned to telehealth, but it remains unknown how this may have exacerbated inequitable access to care. OBJECTIVE: Given the potential barriers faced by different populations, we investigated whether telehealth use is consistent and equitable across age, race, and gender. METHODS: Our retrospective cohort study of outpatient visits was conducted between March 2 and June 10, 2020, compared with the same time period in 2019, at a single academic health center in Boston, Massachusetts. Visits were divided into in-person visits and telehealth visits and then compared by racial designation, gender, and age. RESULTS: At our academic medical center, using a retrospective cohort analysis of ambulatory care delivered between March 2 and June 10, 2020, we found that over half (57.6%) of all visits were telehealth visits, and both Black and White patients accessed telehealth more than Asian patients. CONCLUSIONS: Our findings indicate that the rapid implementation of telehealth does not follow prior patterns of health care disparities.

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The true risk of a COVID-19 resurgence as states reopen businesses is unknown. In this paper, we used anonymized cell-phone data to quantify the potential risk of COVID-19 transmission in business establishments by building a Business Risk Index that measures transmission risk over time. The index was built using two metrics, visits per square foot and the average duration of visits, to account for both density of visits and length of time visitors linger in the business. We analyzed trends in traffic patterns to 1,272,260 businesses across eight states from January 2020 to June 2020. We found that potentially risky traffic behaviors at businesses decreased by 30% by April. Since the end of April, the risk index has been increasing as states reopen. There are some notable differences in trends across states and industries. Finally, we showed that the time series of the average Business Risk Index is useful for forecasting future COVID-19 cases at the county-level (P < 0.001). We found that an increase in a county's average Business Risk Index is associated with an increase in positive COVID-19 cases in 1 week (IRR: 1.16, 95% CI: (1.1-1.26)). Our risk index provides a way for policymakers and hospital decision-makers to monitor the potential risk of COVID-19 transmission from businesses based on the frequency and density of visits to businesses. This can serve as an important metric as states monitor and evaluate their reopening strategies.

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This cohort study analyzes the trends in filled naloxone prescriptions during the COVID-19 pandemic in the United States and compare these to opioid prescriptions and overall prescriptions.

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PURPOSE: High acuity units (HAU) are hospital units that provide patients with more acute care and closer monitoring than a general hospital ward but are not as resource intensive as an intensive care unit (ICU). Nevertheless, the impact of opening a HAU on ICU patient outcomes remains poorly defined. We investigated how the creation of a HAU impacted patient outcomes in the ICU. METHODS: This historical cohort study compared ICU patient in-hospital mortality, ICU length of stay (LOS), and hospital LOS before and after the creation of a HAU in a tertiary-care hospital with a medical/surgical ICU between 1 January 2013 and 31 December 2017. RESULTS: Data from 4,380 patients (984 in the pre-HAU group and 3,396 in the post-HAU group) were analyzed. In this cohort of ICU patients, 360 (37%) died in the pre-HAU group before the creation of a HAU, and 1,074 (32%) died in the post-HAU group after the creation of a HAU. The creation of a HAU was associated with lower relative risk of in-hospital mortality (adjusted risk ratio, 0.80; 95% confidence interval [CI], 0.72 to 0.89; P < 0.001). The creation of a HAU was also associated with reduced ICU and hospital LOS with a 12% increase in the rate of ICU discharge (adjusted sub-distribution hazard ratio [SHR], 1.12; 95% CI, 1.02 to 1.23; P = 0.02) and a 26% increase in the rate of hospital discharge (adjusted SHR, 1.26; 95% CI, 1.14 to 1.39; P < 0.001), when accounting for the competing risk of death. CONCLUSIONS: These data support the hypothesis that the creation of a HAU may be associated with reduced in-hospital mortality, ICU LOS, and hospital LOS for ICU patients.

RéSUMé: OBJECTIF: Les unités de soins intermédiaires sont des départements hospitaliers qui prodiguent des soins plus aigus et un monitorage plus serré aux patients qu'une unité générale, mais qui ne nécessitent pas autant de ressources qu'une unité de soins intensifs (USI). L'impact de l'ouverture d'une unité de soins intermédiaires sur les devenirs des patients à l'USI n'a pourtant été que peu décrit. Nous avons exploré la façon dont la création d'une unité de soins intermédiaires a eu un impact sur les devenirs des patients à l'USI. MéTHODE: Cette étude de cohorte historique a comparé la mortalité hospitalière, la durée de séjour à l'USI et la durée de séjour hospitalier des patients à l'USI avant et après la création d'une unité de soins intermédiaires dans un hôpital de soins tertiaires disposant d'une USI médicale/chirurgicale entre le 1er janvier 2013 et le 31 décembre 2017. RéSULTATS: Les données de 4380 patients (984 dans le groupe pré unité de soins intermédiaires et 3396 dans le groupe post unité de soins intermédiaires) ont été analysées. Dans cette cohorte de patients de l'USI, 360 (37 %) sont décédés avant la création de l'unité de soins intermédiaires, et 1074 (32 %) sont décédés après. La création d'une unité de soins intermédiaires a été associée à un risque relatif plus faible de mortalité hospitalière (risque relatif ajusté, 0,80; intervalle de confiance [IC] 95 %, 0,72 à 0,89; P < 0,001). La création d'une unité de soins intermédiaires a également été associée à une durée de séjour réduite à l'USI et à l'hôpital, avec une augmentation de 12 % du taux de congé de l'USI (rapport de risque ajusté [RRA], 1,12; IC 95 %, 1,02 à 1,23; P = 0,02) et une augmentation de 26 % du taux de congé de l'hôpital (RRA, 1,26; IC 95 %, 1,14 à 1,39; P < 0,001), en tenant compte du risque concurrent de décès. CONCLUSION: Ces données appuient l'hypothèse que la création d'une unité de soins intermédiaires pourrait être associée à une réduction de la mortalité hospitalière, de la durée de séjour à l'USI et de la durée de séjour à l'hôpital pour les patients de l'USI.

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