Association between physician-hospital integration and inpatient care delivery in accountable care organizations: An instrumental variable analysis.

OBJECTIVE: To investigate the relationship between physician-hospital integration within accountable care organizations (ACOs) and inpatient care utilization and expenditure. DATA SOURCES: The primary data were Massachusetts All-Payer Claims Database (2009-2013). STUDY SETTING: Fifteen provider organizations that entered a commercial ACO contract with a major private payer in Massachusetts between 2009 and 2013. STUDY DESIGN: Using an instrumental variable approach, the study compared inpatient care delivery between patients of ACOs demonstrating high versus low integration. We measured physician-hospital integration within ACOs by the proportion of primary care physicians in an ACO who billed for outpatient services with a place-of-service code indicating employment or practice ownership by a hospital. The study sample comprised non-elderly adults who had continuous insurance coverage and were attributed to one of the 15 ACOs. Outcomes of interest included total medical expenditure during an episode of inpatient care, length of stay (LOS) of the index hospitalization, and 30-day readmission. An inpatient episode was defined as 30, 45, and 60 days from the admission date. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: The study examined 33,535 admissions from patients served by the 15 ACOs. Average medical expenditure within 30 days of admission was $24,601, within 45 days was $26,447, and within 60 days was $28,043. Average LOS was 3.5 days, and 5.4% of patients were readmitted within 30 days. Physician-hospital integration was associated with a 10.6% reduction in 30-day expenditure (95% CI, -15.1% to -5.9%). Corresponding estimates for 45 and 60 days were - 9.7% (95%CI, -14.2% to -4.9%) and - 9.6% (95%CI, -14.3% to -4.7%). Integration was associated with a 15.7% decrease in LOS (95%CI, -22.6% to -8.2%) but unrelated to 30-day readmission rate. CONCLUSIONS: Our instrumental variable analysis shows physician-hospital integration with ACOs was associated with reduced inpatient spending and LOS, with no evidence of elevated readmission rates.

Medicaid Expansion and Preventable Emergency Department Use by Race/Ethnicity.

INTRODUCTION: This study aimed to examine changes in emergency department (ED) visits for ambulatory care sensitive conditions (ACSCs) among uninsured or Medicaid-covered Black, Hispanic, and White adults aged 26-64 in the first 5 years of the Affordable Care Act Medicaid expansion. METHODS: Using 2010-2018 inpatient and ED discharge data from nine expansion and five nonexpansion states, an event study difference-in-differences regression model was used to estimate changes in number of annual ACSC ED visits per 100 adults ("ACSC ED rate") associated with the 2014 Medicaid expansion, overall and by race/ethnicity. A secondary outcome was the proportion of ACSC ED visits out of all ED visits ("ACSC ED share"). Analyses were conducted in 2022-2023. RESULTS: Medicaid expansion was associated with no change in ACSC ED rates among all, Black, Hispanic, or White adults. When excluding California, where most counties expanded Medicaid before 2014, expansion was associated with a decrease in ACSC ED rate among all, Black, Hispanic, and White adults. Expansion was also associated with a decrease in ACSC ED share among all, Black, and White adults. White adults experienced the largest reductions in ACSC ED rate and share. CONCLUSIONS: Medicaid expansion was associated with reductions in ACSC ED rates in some expansion states and reductions in ACSC ED share in all expansion states combined, with some heterogeneity by race/ethnicity. Expansion should be coupled with policy efforts to better link newly insured Black and Hispanic patients to non-ED outpatient care, alongside targeted outreach and expanded primary care capacity, which may reduce disparities in ACSC ED visits.

Disparities by Sex, Race, and Ethnicity in Use of Left Ventricular Assist Devices and Heart Transplants Among Patients With Heart Failure With Reduced Ejection Fraction.

BACKGROUND: The extent to which sex, racial, and ethnic groups receive advanced heart therapies equitably is unclear. We estimated the population rate of left ventricular assist device (LVAD) and heart transplant (HT) use among (non-Hispanic) White, Hispanic, and (non-Hispanic) Black men and women who have heart failure with reduced ejection fraction (HFrEF). METHODS AND RESULTS: We used a retrospective cohort design combining counts of LVAD and HT procedures from 19 state inpatient discharge databases from 2010 to 2018 with counts of adults with HFrEF. Our primary outcome measures were the number of LVAD and HT procedures per 1000 adults with HFrEF. The main exposures were sex, race, ethnicity, and age. We used Poisson regression models to estimate procedure rates adjusted for differences in age, sex, race, and ethnicity. In 2018, the estimated population of adults aged 35 to 84 years with HFrEF was 69 736, of whom 44% were women. Among men, the LVAD rate was 45.6, and the HT rate was 26.9. Relative to men, LVAD and HT rates were 72% and 62% lower among women (P<0.001). Relative to White men, LVAD and HT rates were 25% and 46% lower (P<0.001) among Black men. Among Hispanic men and women and Black women, LVAD and HT rates were similar (P>0.05) or higher (P<0.01) than among their White counterparts. CONCLUSIONS: Among adults with HFrEF, the use of LVAD and HT is lower among women and Black men. Health systems and policymakers should identify and ameliorate sources of sex and racial inequities.

Affordable Care Act Medicaid Expansion was Associated With Reductions in the Proportion of Hospitalizations That are Potentially Preventable Among Hispanic and White Adults.

OBJECTIVE: Using data on 5 years of postexpansion experience, we examined whether the coverage gains from Affordable Care Act Medicaid expansion among Black, Hispanic, and White individuals led to improvements in objective indicators of outpatient care adequacy and quality. RESEARCH DESIGN: For the population of adults aged 45-64 with no insurance or Medicaid coverage, we obtained data on census population and hospitalizations for ambulatory care sensitive conditions (ACSCs) during 2010-2018 in 14 expansion and 7 nonexpansion states. Our primary outcome was the percentage share of hospitalizations due to ACSC out of all hospitalizations ("ACSC share") among uninsured and Medicaid-covered patients. Secondary outcomes were the population rate of ACSC and all hospitalizations. We used multivariate regression models with an event-study difference-in-differences specification to estimate the change in the outcome measures associated with expansion in each of the 5 postexpansion years among Hispanic, Black, and White adults. PRINCIPAL FINDINGS: At baseline, ACSC share in the expansion states was 19.0%, 14.5%, and 14.3% among Black, Hispanic, and White adults. Over the 5 years after expansion, Medicaid expansion was associated with an annual reduction in ACSC share of 5.3% (95% CI, -7.4% to -3.1%) among Hispanic and 8.0% (95% CI, -11.3% to -4.5%) among White adults. Among Black adults, estimates were mixed and indicated either no change or a reduction in ACSC share. CONCLUSIONS: After Medicaid expansion, low-income Hispanic and White adults experienced a decrease in the proportion of potentially preventable hospitalizations out of all hospitalizations.

North Carolina's Medicaid Transformation: the Early Enrollee Experience.

INTRODUCTION: On July 1, 2021, North Carolina's Medicaid Transformation mandatorily switched 1.6 million Medicaid beneficiaries from fee-for-service to managed care plans. We examined the early enrollee experience in terms of engagement in plan selection, provider continuity, use of primary care visits, and assistance with social needs. METHODS: Using electronic health records (EHR) covering pre- and post-transition periods (1/1/2019-5/31/2022) from the largest provider network in western North Carolina, we identified all children and adults under age 65 with continuous Medicaid or private coverage. We conducted primary surveys of a random sample of Medicaid-covered enrollees and obtained self-reported rates of engagement in plan selection, continuity of provider access, and receipt of social need assistance. We used comparative interrupted time series models to estimate the relative change in primary care visits associated with the transition. RESULTS: Our EHR-based study cohorts included 4859 Medicaid and 5137 privately insured enrollees, with 398 Medicaid enrollees in the primary surveys. We found that 77.3% of survey participants reported that the managed care plan they were on was not chosen but automatically assigned to them, 13.1% reported insufficient information about the transition, and 19.2% reported lacking assistance with plan choice. We found that 5.9% were assigned to a different primary care provider. Over 29% reported not receiving any additional social need assistance. The transition was associated with a 7.1% reduction (95% CI, -11.5 to -2.7%) in the volume of primary care visits among Medicaid enrollees relative to privately insured enrollees. CONCLUSIONS: Medicaid enrollees in North Carolina may have had limited awareness and engagement in the transition process and experienced a reduction in primary care visits. As the state's transition process gains a foothold, future policy needs to improve enrollee engagement and develop evidence on healthcare utilization and patient outcomes.

Medicaid expansion associated with no change in emergency department use across racial and ethnic groups.

OBJECTIVE: To estimate changes in the emergency department (ED) visit rate, hospitalization share of ED visits, and ED visit volumes associated with Medicaid expansion among Hispanic, Black, and White adults. DATA COLLECTION/EXTRACTION METHODS: For the population of adults aged 26-64 with no insurance or Medicaid coverage, we obtained census population and ED visit counts during 2010-2018 in nine expansion and five nonexpansion states. MAIN OUTCOMES AND MEASURES: The primary outcome was the annual number of ED visits per 100 adults ("ED rate"). The secondary outcomes were the share of ED visits leading to hospitalization, total number ("volumes") of all ED visits, ED visits leading to discharge ("treat-and-release") and ED visits leading to hospitalization ("transfer-to-inpatient"), and the share of the study population with Medicaid ("Medicaid share"). STUDY DESIGN: An event-study difference in differences design that contrasts pre- versus post-expansion changes in outcomes in Medicaid expansion and nonexpansion states. PRINCIPAL FINDINGS: In 2013, the ED rate was 92.6, 34.4, and 59.2 ED visits among Black, Hispanic, and White adults, respectively. The expansion was associated with no change in ED rate in all three groups in each of the five post-expansion years. We found that expansion was associated with no change in the hospitalization share of ED visits and the volume of all ED visits, treat-and-release ED visits, and transfer-to-inpatient ED visits. The expansion was associated with an 11.7% annual increase (95% CI, 2.7%-21.2%) in the Medicaid share of Hispanic adults, but no significant change among Black adults (3.8%; 95% CI, -0.04% to 7.7%). CONCLUSION: ACA Medicaid expansion was associated with no changes in the rate of ED visits among Black, Hispanic, and White adults. Expanding Medicaid eligibility may not change ED use, including among Black and Hispanic subgroups.

Geographic Variation in Operative Management of Adhesive Small Bowel Obstruction.

INTRODUCTION: Variation in surgical management exists nationally. We hypothesize that geographic variation exists in adhesive small bowel obstruction (aSBO) management. MATERIALS AND METHODS: A retrospective analysis of a national commercial insurance claims database (MarketScan) sample (2017-2019) was performed in adults with hospital admission due to aSBO. Geographic variation in rates of surgical intervention for aSBO was evaluated by state and compared to a risk-adjusted national baseline using a Bayesian spatial rates Poisson regression model. For individual-level analysis, patients were identified in 2018, with 365-d look back and follow-up periods. Logistic regression was performed for individual-level predictors of operative intervention for aSBO. RESULTS: Two thousand one hundred forty-five patients were included. State-level analysis revealed rates of operative intervention for aSBO were significantly higher in Missouri and lower in Florida. On individual-level analysis, age (P < 0.01) and male sex (P < 0.03) but not comorbidity profile or prior aSBO, were negatively associated with undergoing operative management for aSBO. Patients presenting in 2018 with a history of admission for aSBO the year prior experienced a five-fold increase in odds of representation (odds ratio: 5.4, 95% confidence interval: 3.1-9.6) in 2019. Patients who received an operation for aSBO in 2018 reduced the odds of readmission in the next year by 77% (odds ratio: 0.23, 95% confidence interval: 0.1-0.5). The volume of operations performed within a state did not influence readmission. CONCLUSIONS: Surgical management of aSBO varies across the continental USA. Operative intervention is associated with decreased rates of representation in the following year. These data highlight a critical need for standardized guidelines for emergency general surgery patients.

Rural-urban outcome differences associated with COVID-19 hospitalizations in North Carolina.

People living in rural regions in the United States face more health challenges than their non-rural counterparts which could put them at additional risks during the COVID-19 pandemic. Few studies have examined if rurality is associated with additional mortality risk among those hospitalized for COVID-19. We studied a retrospective cohort of 3,991 people hospitalized with SARS-CoV-2 infections discharged between March 1 and September 30, 2020 in one of 17 hospitals in North Carolina that collaborate as a clinical data research network. Patient demographics, comorbidities, symptoms and laboratory data were examined. Logistic regression was used to evaluate associations of rurality with a composite outcome of death/hospice discharge. Comorbidities were more common in the rural patient population as were the number of comorbidities per patient. Overall, 505 patients died prior to discharge and 63 patients were discharged to hospice. Among rural patients, 16.5% died or were discharged to hospice vs. 13.3% in the urban cohort resulting in greater odds of death/hospice discharge (OR 1.3, 95% CI 1.1, 1.6). This estimate decreased minimally when adjusted for age, sex, race/ethnicity, payer, disease comorbidities, presenting oxygen levels and cytokine levels (adjusted model OR 1.2, 95% CI 1.0, 1.5). This analysis demonstrated a higher COVID-19 mortality risk among rural residents of NC. Implementing policy changes may mitigate such disparities going forward.

Ambulance diversion and ED destination by race/ethnicity: evaluation of Massachusetts' ambulance diversion ban.

BACKGROUND: The impact of ambulance diversion on potentially diverted patients, particularly racial/ethnic minority patients, is largely unknown. Treating Massachusetts' 2009 ambulance diversion ban as a natural experiment, we examined if the ban was associated with increased concordance in Emergency Medical Services (EMS) patients of different race/ethnicity being transported to the same emergency department (ED). METHODS: We obtained Medicare Fee for Service claims records (2007-2012) for enrollees aged 66 and older. We stratified the country into patient zip codes and identified zip codes with sizable (non-Hispanic) White, (non-Hispanic) Black and Hispanic enrollees. For a stratified random sample of enrollees from all diverse zip codes in Massachusetts and 18 selected comparison states, we identified EMS transports to an ED. In each zip code, we identified the most frequent ED destination of White EMS-transported patients ("reference ED"). Our main outcome was a dichotomous indicator of patient EMS transport to the reference ED, and secondary outcome was transport to an ED serving lower-income patients ("safety-net ED"). Using a difference-in-differences regression specification, we contrasted the pre- to post-ban changes in each outcome in Massachusetts with the corresponding change in the comparison states. RESULTS: Our study cohort of 744,791 enrollees from 3331 zip codes experienced 361,006 EMS transports. At baseline, the proportion transported to the reference ED was higher among White patients in Massachusetts and comparison states (67.2 and 60.9%) than among Black (43.6 and 46.2%) and Hispanic (62.5 and 52.7%) patients. Massachusetts ambulance diversion ban was associated with a decreased proportion transported to the reference ED among White (- 2.7 percentage point; 95% CI, - 4.5 to - 1.0) and Black (- 4.1 percentage point; 95% CI, - 6.2 to - 1.9) patients and no change among Hispanic patients. The ban was associated with an increase in likelihood of transport to a safety-net ED among Hispanic patients (3.0 percentage points, 95% CI, 0.3 to 5.7) and a decreased likelihood among White patients (1.2 percentage points, 95% CI, - 2.3 to - 0.2). CONCLUSION: Massachusetts ambulance diversion ban was associated with a reduction in the proportion of White and Black EMS patients being transported to the most frequent ED destination for White patients, highlighting the role of non-proximity factors in EMS transport destination.

Video Images about Decisions for Ethical Outcomes in Kidney Disease (VIDEO-KD): the study protocol for a multi-centre randomised controlled trial.

INTRODUCTION: Older patients with advanced chronic kidney disease (CKD) often are inadequately prepared to make informed decisions about treatments including dialysis and cardiopulmonary resuscitation. Further, evidence shows that patients with advanced CKD do not commonly engage in advance care planning (ACP), may suffer from poor quality of life, and may be exposed to end-of-life care that is not concordant with their goals. We aim to study the effectiveness of a video intervention on ACP, treatment preferences and other patient-reported outcomes. METHODS AND ANALYSIS: The Video Images about Decisions for Ethical Outcomes in Kidney Disease trial is a multi-centre randomised controlled trial that will test the effectiveness of an intervention that includes a CKD-related video decision aid followed by recording personal video declarations about goals of care and treatment preferences in older adults with advancing CKD. We aim to enrol 600 patients over 5 years at 10 sites. ETHICS AND DISSEMINATION: Regulatory and ethical aspects of this trial include a single Institutional Review Board mechanism for approval, data use agreements among sites, and a Data Safety and Monitoring Board. We intend to disseminate findings at national meetings and publish our results. TRIAL REGISTRATION NUMBER: NCT04347629.

Readmissions performance and penalty experience of safety-net hospitals under Medicare's Hospital Readmissions Reduction Program.

BACKGROUND: The Hospital Readmissions Reduction Program (HRRP), established by the Centers for Medicare and Medicaid Services (CMS) in March 2010, introduced payment-reduction penalties on acute care hospitals with higher-than-expected readmission rates for acute myocardial infarction (AMI), heart failure, and pneumonia. There is concern that hospitals serving large numbers of low-income and uninsured patients (safety-net hospitals) are at greater risk of higher readmissions and penalties, often due to factors that are likely outside the hospital's control. Using publicly reported data, we compared the readmissions performance and penalty experience among safety-net and non-safety-net hospitals. METHODS: We used nationwide hospital level data for 2009-2016 from the Centers for Medicare and Medicaid Services (CMS) Hospital Compare program, CMS Final Impact Rule, and the American Hospital Association Annual Survey. We identified as safety-net hospitals the top quartile of hospitals in terms of the proportion of patients receiving income-based public benefits. Using a quasi-experimental difference-in-differences approach based on the comparison of pre- vs. post-HRRP changes in (risk-adjusted) 30-day readmission rate in safety-net and non-safety-net hospitals, we estimated the change in readmissions rate associated with HRRP. We also compared the penalty frequency among safety-net and non-safety-net hospitals. RESULTS: Our study cohort included 1915 hospitals, of which 479 were safety-net hospitals. At baseline (2009), safety-net hospitals had a slightly higher readmission rate compared to non-safety net hospitals for all three conditions: AMI, 20.3% vs. 19.8% (p value< 0.001); heart failure, 25.2% vs. 24.2% (p-value< 0.001); pneumonia, 18.7% vs. 18.1% (p-value< 0.001). Beginning in 2012, readmission rates declined similarly in both hospital groups for all three cohorts. Based on difference-in-differences analysis, HRRP was associated with similar change in the readmissions rate in safety-net and non-safety-net hospitals for AMI and heart failure. For the pneumonia cohort, we found a larger reduction (0.23%; p < 0.001) in safety-net hospitals. The frequency of readmissions penalty was higher among safety-net hospitals. The proportion of hospitals penalized during all four post-HRRP years was 72% among safety-net and 59% among non-safety-net hospitals. CONCLUSIONS: Our results lend support to the concerns of disproportionately higher risk of performance-based penalty on safety-net hospitals.

SBIRT administered by mental health counselors for hospitalized adults with substance misuse or disordered use: Evaluating hospital utilization and costs.

OBJECTIVE: We analyzed the association of Screening, Brief Intervention, and Referral to Treatment (SBIRT) with hospitalizations, emergency department (ED) visits, and related costs, when administered to inpatients with substance misuse or disordered use by professional mental health counselors. METHODS: Our study used retrospective program and health records data and a difference-in-differences design with propensity score covariates. The study population consisted of hospital inpatients admitted to integrated care services staffed by physicians, nurses, and mental health counselors. The intervention group consisted of patients selected for intervention based on substance use history and receiving SBIRT (n = 1577). Patients selected for intervention but discharged before SBIRT administration (n = 618) formed the comparison group. The outcome variables were hospitalization and ED visits costs and counts. Costs of hospitalizations and ED visits were combined to allow sufficient data for analysis, with counts treated similarly. Patient-level variables were substance use type and substance use severity. A cluster variable was inpatient clinical service. Zero-censored and two-part logistic and generalized linear models with robust standard errors tested the association of SBIRT interventions with the outcomes. RESULTS: For the full study population of patients using alcohol, illicit drugs, or both, SBIRT administered by mental health counselors was not associated with changes in hospitalizations and ED visits. For patients with alcohol misuse or disordered use, SBIRT by mental health counselors was associated an odds ratio of 0.32 (p < .001) of having subsequent hospitalizations or ED visits. For patients with alcohol use who did return as hospital inpatients or to the ED, SBIRT by counselors was associated with a reduction in costs of $2547 per patient (p < .001) and with an incidence rate ratio of 0.57 for counts (p = .003). CONCLUSION: Our results suggest that professional mental health counselors on inpatient integrated care teams may provide SBIRT effectively for patients with misuse and disordered use of alcohol, reducing the likelihood of future healthcare utilization and costs.

Potential bypassing of nearest emergency department by EMS transports.

OBJECTIVE: Guidelines recommend emergency medical services (EMS) patients to be transported to the nearest appropriate emergency department (ED). Our objective was to estimate the prevalence of EMS transport to an ED other than the nearest ED ("potential bypassing"). DATA SOURCES: Illinois Prehospital Patient Care Report Data of EMS transports (July 2019 to December 2019). DATA COLLECTION/EXTRACTION METHODS: We identified all EMS ground transports with an advanced life-support (ALS) paramedic to an ED for patients aged 21 years and older. Using street address of incident location, we performed geocoding and driving route analyses and obtained estimated driving distance and time to the destination ED and alternative EDs. MAIN OUTCOME AND MEASURES: Our main outcomes were dichotomous indicators of potential bypassing of the nearest ED based on distance and time. As secondary outcomes we examined potential bypassing indicators based on excess driving distance and time. STUDY DESIGN: We used Poisson regression models to obtain adjusted relative rates of potential bypassing indicators by acuity level, primary impression, patient demographics and geographic characteristics. PRINCIPAL FINDINGS: Our study cohort of 361,051 EMS transports consisted of 5.8% critical, 37.2% emergent and 57.0% low acuity cases transported to 222 EDs. The observed rate of potential bypassing was approximately 34% of cases for each acuity level. Treating the cardiovascular primary impression code group as the reference case, we found small to no differences in potential bypassing rates across other primary impression code groups of all acuity levels, with the exception of critical acuity trauma cases for which potential bypassing rate was 64% higher (incidence rate ratio = 1.64, 95% confidence interval, 1.54-1.74). Compared to zip codes with one ED within a 5-mile vicinity, potential bypassing was higher in areas with no ED or multiple EDs within a 5-mile vicinity. CONCLUSION: Approximately one-third of EMS transports potentially bypassed the nearest ED. EMS transport destination may be motivated by factors other than proximity.

Likelihood of COVID-19 reinfection in an urban community cohort in Massachusetts.

Background: Understanding the association of prior SARS-CoV-2 infection with subsequent reinfection has public health relevance. Objective: To explore COVID-19 severity and SARS-CoV-2 infection and reinfection rates. Design: Retrospective cohort study. Setting: Boston, Massachusetts, during the first COVID-19 surge (01/01/2020-05/31/2020; Period-1) and after the first surge (06/01/2020-02/28/2021; Period-2); Period-2 included the second surge (11/01/2020-02/28/2021). Participants: Patients in an academic medical center and six community health centers who received a clinical diagnosis of COVID-19 between 01/01/2020 and 05/31/2020 or SARS-CoV-2 testing between 01/01/2020 and 02/28/2021. Measurements: COVID-19 severity was compared between Period-1 and Period-2. Poisson regression models adjusted for demographic variables, medical comorbidities, and census tract were used to assess reinfection risk among patients with COVID-19 diagnoses or SARS-CoV-2 testing during Period-1 and additional SARS-CoV-2 testing during Period-2. Results: Among 142,047 individuals receiving SARS-CoV-2 testing or clinical diagnoses during the study period, 15.8% were infected. Among COVID-19 patients, 22.5% visited the emergency department, 13% were hospitalized, and 4% received critical care. Healthcare utilization was higher during Period-1 than Period-2 (22.9% vs. 18.9% emergency department use, 14.7% vs. 9.9% hospitalization, 5.5% vs. 2.5% critical care; p < 0.001). Reinfection was assessed among 8961 patients with a SARS-CoV-2 test or COVID-19 diagnosis in Period-1 who underwent additional testing in Period-2. A total of 2.7% (n = 65/2431) with SARS-CoV-2 in Period-1 tested positive in Period-2, compared with 12.6% (n = 821/6530) of those who initially tested negative (IRR of reinfection = 0.19, 95% CI: 0.15-0.25). Conclusions: Prior SARS-CoV-2 infection among this observational cohort was associated with an 81% lower reinfection rate.

Racial/ethnic disparities in emergency department wait times in the United States, 2013-2017.

BACKGROUND: Previous research shows that Black and Hispanic patients have longer ED wait times than White patients, but these data do not reflect recent changes such as the Affordable Care Act. In addition, previous research does not account for the non-normal distribution of wait times, wherein a sizable subgroup of patients seen promptly and those not seen promptly experience long wait times. METHODS: We utilized National Hospital Ambulatory Medical Care Survey (NHAMCS) datasets (2013-2017) to examine mean ED wait time comparing visits by Black, Hispanic, and Asian patients to White patients. Using a two-part regression model, we adjusted for patient, hospital, and health system factors, and estimated differences, for each of five triage levels, in (a) likelihood of waiting at least 5 min and (b) difference in wait time among those not seen promptly. RESULTS: Our cohort included 38,800 White, 14,838 Black, 10,619 Hispanic, and 1257 Asian patient visits. Black (triage level 3) and Hispanic (triage levels 3 and 4) patients had longer mean wait times than White patients. Adjusted likelihood of not being seen promptly was lower among Blacks (triage levels 3, 4 and 5), Hispanics (triage level 5) and Asians (triage level 5) compared to Whites. Among those waiting at least 5 min, adjusted wait time was longer among Blacks in triage level 3 (5.2 min, 95% CI, 1.3 to 9.0) and level 4 (2.5 min, 95% CI, 0.2 to 4.9), Hispanics in triage level 4 (4.7 min, 95% CI, 1.7 to 7.7) and Asians in triage level 5 (16.3 min, 95% CI, 0.6 to 31.9) compared to Whites. CONCLUSIONS: Minority patients were less likely to wait to be seen, but waited longer if not seen promptly. These data exhibit that ED wait time disparities persist for African American and Hispanic patients and extend this observation to Asian patients.

Do accountable care organizations differ according to physician-hospital integration?: A retrospective observational study.

ABSTRACT: Physician-hospital integration among accountable care organizations (ACOs) has raised concern over impacts on prices and spending. However, characteristics of ACOs with greater integration between physicians and hospitals are unknown. We examined whether ACOs systematically differ by physician-hospital integration among 16 commercial ACOs operating in Massachusetts.Using claims data linked to information on physician affiliation, we measured hospital integration with primary care physicians for each ACO and categorized them into high-, medium-, and low-integrated ACOs. We conducted cross-sectional descriptive analysis to compare differences in patient population, organizational characteristics, and healthcare spending between the three groups. In addition, using multivariate generalized linear models, we compared ACO spending by integration level, adjusting for organization and patient characteristics. We identified non-elderly adults (aged 18-64) served by 16 Massachusetts ACOs over the period 2009 to 2013.High- and medium-integrated ACOs were more likely to be an integrated delivery system or an organization with a large number of providers. Compared to low-integrated ACOs, higher-integrated ACOs had larger inpatient care capacity, smaller composition of primary care physicians, and were more likely to employ physicians directly or through an affiliated hospital or physician group. A greater proportion of high-/medium-integrated ACO patients lived in affluent neighborhoods or areas with a larger minority population. Healthcare spending per enrollee in high-integrated ACOs was higher, which was mainly driven by a higher spending on outpatient facility services.This study shows that higher-integrated ACOs differ from their counterparts with low integration in many respects including higher healthcare spending, which persisted after adjusting for organizational characteristics and patient mix. Further investigation into the effects of integration on expenditures will inform the ongoing development of ACOs.

Association between Medicare's Hospital Readmission Reduction Program and readmission rates across hospitals by medicare bed share.

BACKGROUND: Medicare's Hospital Readmissions Reduction Program (HRRP), implemented beginning in 2013, seeks to incentivize Inpatient Prospective Payment System (IPPS) hospitals to reduce 30-day readmissions for selected inpatient cohorts including acute myocardial infarction, heart failure, and pneumonia. Performance-based penalties, which take the form of a percentage reduction in Medicare reimbursement for all inpatient care services, have a risk of unintended financial burden on hospitals that care for a larger proportion of Medicare patients. To examine the role of this unintended risk on 30-day readmissions, we estimated the association between the extent of their Medicare share of total hospital bed days and changes in 30-day readmissions. METHODS: We used publicly available nationwide hospital level data for 2009-2016 from the Centers for Medicare and Medicaid Services (CMS) Hospital Compare program, CMS Final Impact Rule, and the American Hospital Association Annual Survey. Using a quasi-experimental difference-in-differences approach, we compared pre- vs. post-HRRP changes in 30-day readmission rate in hospitals with high and moderate Medicare share of total hospital bed days ("Medicare bed share") vs. low Medicare bed share hospitals. RESULTS: We grouped the 1904 study hospitals into tertiles (low, moderate and high) by Medicare bed share; the average bed share in the three tertile groups was 31.2, 47.8 and 59.9%, respectively. Compared to low Medicare bed share hospitals, high bed share hospitals were more likely to be non-profit, have smaller bed size and less likely to be a teaching hospital. High bed share hospitals were more likely to be in rural and non-large-urban areas, have fewer lower income patients and have a less complex patient case-mix profile. At baseline, the average readmissions rate in the low Medicare bed share (control) hospitals was 20.0% (AMI), 24.7% (HF) and 18.4% (pneumonia). The observed pre- to post-program change in the control hospitals was - 1.35% (AMI), - 1.02% (HF) and - 0.35% (pneumonia). Difference in differences model estimates indicated no differential change in readmissions among moderate and high Medicare bed share hospitals. CONCLUSIONS: HRRP penalties were not associated with any change in readmissions rate. The CMS should consider alternative options - including working collaboratively with hospitals - to reduce readmissions.

Limited English Proficient Patient Visits and Emergency Department Admission Rates for Ambulatory Care Sensitive Conditions in California: a Retrospective Cohort Study.

BACKGROUND: Little is known about the risk of admission for emergency department (ED) visits for ambulatory care sensitive conditions (ACSCs) by limited English proficient (LEP) patients. OBJECTIVE: Estimate admission rates from ED for ACSCs comparing LEP and English proficient (EP) patients and examine how these rates vary at hospitals with a high versus low proportion of LEP patients. DESIGN: Retrospective cohort study of California's 2017 inpatient and ED administrative data PARTICIPANTS: Community-dwelling individuals ≥ 18 years without a primary diagnosis of pregnancy or childbirth. LEP patients had a principal language other than English. MAIN MEASURES: We used a series of linear probability models with incremental sets of covariates, including patient demographics, primary diagnosis, and Elixhauser comorbidities, to examine admission rate for visits of LEP versus EP patients. We then added an interaction covariate for high versus low LEP-serving hospital. We estimated models with and without hospital-level random effects. KEY RESULTS: These analyses included 9,641,689 ED visits; 14.7% were for LEP patients. . Observed rate of admission for all ACSC ED visits was higher for LEP than for EP patients (26.2% vs. 25.2; p value < .001). Adjusted rate of admission was not statistically significant (27.3% [95% CI 25.4-29.3%] vs. 26.2% [95% CI 24.3-28.1%]). For COPD, the difference was significant (36.8% [95% CI 35.0-38.6%] vs. 33.3% [95% CI 31.7-34.9%]). Difference in adjusted admission rate for LEP versus EP visits did not differ in high versus low LEP-serving hospitals. CONCLUSIONS: In adjusted analyses, LEP was not a risk factor for admission for most ACSCs. This finding was observed in both high and low LEP-serving hospitals.

Examination of Elective Bariatric Surgery Rates Before and After US Affordable Care Act Medicaid Expansion.

Importance: There is limited evidence on whether the Affordable Care Act Medicaid expansion beginning in 2014 improved access to elective procedures. Uninsured individuals are at higher risk of obesity and may have experienced improved uptake of bariatric surgery following Medicaid expansion. Objective: To examine the association between Medicaid expansion and the receipt of inpatient elective bariatric surgery among Medicaid-covered and uninsured individuals aged 26 to 64 years. Design Setting and Participants: This cohort study used difference-in-differences analysis of all-payer data (2010-2017) of 637 557 elective bariatric surgeries for patients aged 26 to 74 years from 11 Medicaid expansion states and 6 nonexpansion states. Nonexpansion states and individuals aged 65 to 74 years were control cohorts. Data analysis was performed from July 6, 2020, to July 23, 2021. Exposure: Living in a Medicaid expansion state. Main Outcomes and Measures: The main outcomes were the (1) number of elective bariatric surgeries, (2) population count, and (3) rate of bariatric surgery (number of surgeries per 10 000 population) among Medicaid-covered and uninsured individuals. Results: Of the 600 798 elective bariatric surgeries in adults aged 26 to 64 years between 2010 and 2017 from the 17 study states, Medicaid-covered and uninsured individuals accounted for 18.3% of the total surgery volume in expansion states and 14.5% in nonexpansion states. A total of 296 798 patients (78.9%) in expansion states were women vs 177 386 (78.9%) in nonexpansion states. Among individuals aged 26 to 64 years, the median age was 44 (IQR, 37-52) years. Racial and ethnic distribution was non-Hispanic White, 60.2%; non-Hispanic Black, 17.7%; Hispanic, 16.6%; and other, 5.5%. Between 2013 and 2017, the volume of bariatric surgeries for Medicaid-covered and uninsured patients increased annually by 30.3% in expansion states and 16.5% in nonexpansion states. Medicaid expansion was associated with a 36.6% annual increase (95% CI, 8.2% to 72.5%) in surgery volume, a 9.0% annual increase (95% CI, 3.8% to 14.5%) in the population, and a 25.5% change (95% CI, -1.3% to 59.4%) in the rate of bariatric surgery. By race and ethnicity, Medicaid expansion was associated with an increase in the rate of bariatric surgery among non-Hispanic White individuals (31.6%; 95% CI, 6.1% to 63.0%) but no significant change among non-Hispanic Black (5.9%; 95% CI, -19.8% to 39.9%) and Hispanic (28.9%; 95% CI, -24.4% to 119.8%) individuals. Conclusions and Relevance: This cohort study found that Medicaid expansion was associated with increased rates of bariatric surgery among lower-income non-Hispanic White individuals, but not among Hispanic and non-Hispanic Black individuals.