Quality of Care in Hospitals with a High Percent of Medicaid Patients

Racial and Ethnic Inequalities in Actual vs Nearest Delivery Hospitals

Importance

Minoritized racial and ethnic groups, such as American Indian and Black individuals, often receive lower quality health care compared with White individuals. There is limited understanding of how these disparities extend to obstetric care, particularly when comparing the quality of care at the actual delivery hospital vs the nearest obstetric hospital based on the birthing individual's residence.

Objective

To examine inequality in care based on the actual delivery hospital and the closest delivery hospital to the birthing individual's residential zip code centroid.

Design, Setting, and Participants

This population-based retrospective cohort study used data from 5 states (2008 to 2020 for Michigan, Oregon, and South Carolina; 2008 to 2018 for Pennsylvania; and 2008 to 2012 for California). Individuals delivering a fetal death or a live birth with gestational age between 22 to 44 weeks were included. Analysis was conducted between February and August 2024.

Exposure

Race and ethnicity.

Main Outcomes and Measures

The obstetric inequality index was calculated using Gini coefficients from Lorenz curves for American Indian, Asian, Black, and Hispanic birthing individuals compared with White individuals, with hospitals ranked by their standardized morbidity ratio for nontransfusion severe maternal morbidity.

Results

There were 6 418 635 birthing individuals across 549 hospitals (23 050 American Indian individuals [0.4%], 463 342 Asian individuals [7.2%], 807 738 Black individuals [12.6%], 1 645 922 Hispanic individuals [25.6%], and 3 279 315 White individuals [51.1%]). Compared with White individuals, American Indian and Black individuals delivered at lower-quality hospitals, while there was no significant difference for Asian and Hispanic individuals (delivery hospital inequality index: American Indian, 0.07 [95% CI, 0.03 to 0.11]; Asian, -0.02 [95% CI, -0.08 to 0.04]; Black, 0.15 [95% CI, 0.12 to 0.19]; Hispanic -0.04 [95% CI, -0.09 to 0.01]). Black individuals lived closer to lower-quality hospitals than White individuals (closest hospital inequality index for Black individuals: 0.11 [95% CI, 0.07 to 0.14]). Asian and Hispanic individuals had similar closest hospital inequality indices to White individuals. The inequality index for Black individuals would have been lower if individuals had delivered at their nearest hospital.

Conclusions and Relevance

This cohort study found that American Indian and Black individuals delivered at lower-quality hospitals than White individuals. The disparity in care between Black and White birthing individuals would have been reduced if individuals had delivered at their nearest hospital.

Demystifying the association of center-level operative trauma volume and outcomes of emergency general surgery

BACKGROUND

Recent studies have demonstrated a positive volume-outcome relationship in emergency general surgery. Some have advocated for the sub-specialization of emergency general surgery independent from trauma. We hypothesized inferior clinical outcomes of emergency general surgery with increasing center-level operative trauma volume, potentially attributable to overall hospital quality.

METHODS

Adults (≥18 years) undergoing complex emergency general surgery operations (large and small bowel resection, repair of perforated peptic ulcer, lysis of adhesions, laparotomy) were identified in the 2016 to 2020 Nationwide Readmissions Database. Multivariable risk-adjusted models were developed to evaluate the association of treatment at a high-volume trauma center (reference: low-volume trauma center) with clinical and financial outcomes after emergency general surgery. To evaluate hospital quality, mortality among adult hospitalizations for acute myocardial infarction was assessed by hospital trauma volume.

RESULTS

Of an estimated 785,793 patients undergoing a complex emergency general surgery operation, 223,116 (28.4%) were treated at a high-volume trauma center. Treatment at a high-volume trauma center was linked to 1.19 odds of in-hospital mortality (95% confidence interval 1.12-1.27). Although emergency general surgery volume was associated with decreasing predicted risk of mortality, increasing trauma volume was linked to an incremental rise in the odds of mortality after emergency general surgery. Secondary analysis revealed increased mortality for admissions for acute myocardial infarction with greater trauma volume.

CONCLUSION

We note increased mortality for emergency general surgery and acute myocardial infarction in patients receiving treatment at high-volume trauma centers, signifying underlying structural factors to broadly affect quality. Thus, decoupling trauma and emergency general surgery services may not meaningfully improve outcomes for emergency general surgery patients. Our findings have implications for the evolving specialty of emergency general surgery, especially for the safety and continued growth of the acute care surgery model.

Utilization of minimally invasive colectomy at safety-net hospitals in the United States

BACKGROUND

Prior literature has reported inferior surgical outcomes and reduced access to minimally invasive procedures at safety-net hospitals. However, this relationship has not yet been elucidated for elective colectomy. We sought to characterize the association between safety-net hospitals and likelihood of minimally invasive resection, perioperative outcomes, and costs.

METHODS

All adult (≥18 years) hospitalization records entailing elective colectomy were identified in the 2016-2020 National Inpatient Sample. Centers in the top quartile of safety-net burden were considered safety-net hospitals (others: non-safety-net hospitals). Multivariable regression models were developed to assess the impact of safety-net hospitals status on key outcomes.

RESULTS

Of ∼532,640 patients, 95,570 (17.9%) were treated at safety-net hospitals. The safety-net hospitals cohort was younger and more often of Black race or Hispanic ethnicity. After adjustment, care at safety-net hospitals remained independently associated with reduced odds of minimally invasive surgery (adjusted odds ratio 0.92; 95% confidence interval 0.87-0.97). The interaction between safety-net hospital status and race was significant, such that Black race remained linked with lower odds of minimally invasive surgery at safety-net hospitals (reference: White race). Additionally, safety-net hospitals was associated with greater likelihood of in-hospital mortality (adjusted odds ratio 1.34, confidence interval 1.04-1.74) and any perioperative complication (adjusted odds ratio 1.15, confidence interval 1.08-1.22), as well as increased length of stay (β+0.26 days, confidence interval 0.17-0.35) and costs (β+$2,510, confidence interval 2,020-3,000).

CONCLUSION

Care at safety-net hospitals was linked with lower odds of minimally invasive colectomy, as well as greater complications and costs. Black patients treated at safety-net hospitals demonstrated reduced likelihood of minimally invasive surgery, relative to White patients. Further investigation is needed to elucidate the root causes of these disparities in care.

Racial and Ethnic Composition of Populations Served by Freestanding Children's Hospitals and Disparities in Outcomes of Pediatric Lupus

OBJECTIVE

Health disparities may be driven by hospital-level factors. We assessed whether racial and ethnic composition of populations hospitals serve explain or modify disparities in hospital outcomes of children with systemic lupus erythematosus (SLE).

METHODS

In this retrospective cohort study of patients 5 to 26 years old with SLE at 47 children's hospitals in the Pediatric Health Information System (2006-2021), race and ethnicity were assessed at the patient level and hospital level (proportion of total admissions composed of Black or Hispanic patients, respectively). Outcomes included intensive care unit (ICU) admission or adverse renal outcome (end-stage renal disease, dialysis, or transplant) during follow-up. We estimated racial and ethnic disparities, adjusted or stratified by hospital racial or ethnic composition.

RESULTS

Of 8,125 patients with SLE, 2,293 (28%) required ICU admission, and 698 (9%) had an adverse renal outcome. Black and non-Hispanic White disparities in ICU admission were observed only at hospitals serving higher proportions of Black patients (odds ratio [OR] 1.29, 95% confidence interval [95% CI] 1.04-1.59 vs OR 1.07, 95% CI 0.83-1.38). Larger Black and non-Hispanic White disparities in adverse renal outcomes were observed at hospitals with higher Black racial composition (OR 2.0, 95% CI 1.4-2.8 vs OR 1.7, 95% CI 1.1-2.4). Conversely, Hispanic versus non-Hispanic disparities in renal outcomes persisted after adjustment for hospital-reported Hispanic ethnic composition but were observed only at hospitals with lower proportions of Hispanic patients.

CONCLUSION

Worse Black and White disparities in SLE outcomes are observed at children's hospitals serving more Black children, whereas distinct patterns are observed for Hispanic and non-Hispanic disparities. Reporting of hospital characteristics related to populations served is needed to identify modifiable drivers of hospital-level variation.

Risk Factors for Leaving Against Medical Advice in Patients Admitted for Upper Extremity Orthopedic Procedures

INTRODUCTION

Patients who leave against medical advice (AMA) face increased risks of negative health outcomes, presenting a challenge for healthcare systems. This study examines demographic and hospital course factors associated with patients leaving AMA after an upper extremity (UE) orthopaedic procedure.

METHODS

We analyzed 262,912 patients who underwent UE orthopaedic procedures between 2011 and 2020, using the Healthcare Cost and Utilization Project database. We then compared demographic and hospital course factors between patients who left AMA and those who did not leave AMA.

RESULTS

Of 262,912 UE orthopaedic patients, 0.45% (1,173) left AMA. Those more likely to leave AMA were aged 30 to 49 (OR, 5.953, P < 0.001), Black (OR, 1.708, P < 0.001), had Medicaid (OR, 3.436, P < 0.001), and were in the 1st to 25th income percentile (OR, 1.657, P < 0.001). Female patients were less likely to leave AMA than male patients (OR, 0.647, P < 0.001). Patients leaving AMA had longer stays (3.626 versus 2.363 days, P < 0.001) and longer recovery times (2.733 versus 1.977, P < 0.001).

CONCLUSION

We found that male, Black, younger than 49 years old, Medicaid-insured, and lowest income quartile patients are more likely to leave AMA after UE orthopaedic treatment.

Elective Joint Replacement Among Medicaid Beneficiaries: Utilization and Postoperative Adverse Events by Racial and Ethnic Groups

Hip and knee replacement have been marked by racial and ethnic disparities in both utilization and postoperative adverse events among Medicare beneficiaries, but limited knowledge exists regarding racial and ethnic differences in joint replacement care among Medicaid beneficiaries. To close this gap, this study used Medicaid claims in 2018 and described racial and ethnic differences in the utilization and postoperative adverse events of elective joint replacements among Medicaid beneficiaries. Among the 2,260,272 Medicaid beneficiaries, 5987 had an elective joint replacement in 2018. Asian (0.05%, 95% confidence interval [CI]: 0.03%-0.07%) and Hispanic beneficiaries (0.12%, 95% CI: 0.07%-0.18%) received joint replacements less frequently than American Indian and Alaska Native (0.41%, 95% CI: 0.27%-0.55%), Black (0.33%, 95% CI: 0.19%-0.48%), and White (0.37%, 95% CI: 0.25%-0.50%) beneficiaries. Black patients demonstrated the highest probability of 90-day emergency department visits (34.8%, 95% CI: 32.7%-37.0%) among all racial and ethnic groups and a higher probability of 90-day readmission (8.0%, 95% CI: 6.9%-9.0%) than Asian (3.4%, 95% CI: 0.7%-6.0%) and Hispanic patients (4.4%, 95% CI: 3.4%-5.3%). These findings indicate evident disparities in postoperative adverse events across racial and ethnic groups, with Black patients demonstrating the highest probability of 90-day emergency department visits. This study represents an initial exploration of the racial and ethnic differences in joint replacement care among Medicaid beneficiaries and lay the groundwork for further investigation into contributing factors of the observed disparities.

Lean Performance Indicators and Facilitators of Outcomes in U.S. Public Hospitals

GOAL

This study investigated the association between Lean and performance outcomes in U.S. public hospitals. Public hospitals face substantial pressure to deliver high-quality care with limited resources. Lean-based management systems can provide these hospitals with alternative approaches to improve efficiency and effectiveness. Prior research shows that Lean can have positive impacts in hospitals ranging in ownership type, but more study is needed, specifically in publicly owned hospitals.

METHODS

We performed multivariable regressions using data from the 2017 National Survey of Lean/Transformational Performance Improvement. The data were linked to publicly available hospital performance data from the Agency for Healthcare Research and Quality and the Centers for Medicare & Medicaid Services. We examined 11 outcomes measuring financial performance, quality of care, and patient experience and their associations with Lean adoption. We also explored potential drivers of positive outcomes by examining Lean implementation in each hospital, measured as the number of units using Lean tools and practices; leader commitment to Lean principles; Lean training and education among physicians, nurses, and managers; and use of a daily management system among C-suite leaders and managers.

PRINCIPAL FINDINGS

Lean adoption and implementation were associated with improved performance in U.S. public hospitals. Compared with hospitals that did not adopt Lean, those that did had significantly lower adjusted inpatient expenses per discharge and higher-than-average national scores on the appropriate use of medical imaging and timeliness of care. The study results also showed marginally significant improvements in patient experience and hospital earnings before interest, taxes, depreciation, and amortization margins. Focusing on these select outcomes, we found that drivers of such improvements involved the extent of Lean implementation, as reflected by leadership commitment, daily management, and training/education while controlling for the number of years using Lean.

PRACTICAL APPLICATIONS

Lean is a method of continuous improvement centered around a culture of providing high-value care for patients. Our findings provide insight into the potential benefits of Lean in U.S. public hospitals. Notably, they suggest that leader buy-in is key to success. When executives and managers support Lean initiatives and provide proper training for the workforce, improved financial and operational performance can result. This commitment, starting with upper management, may also play a broader role in the effort to reform healthcare while having a positive impact on patient care in U.S. public hospitals.

Racial and ethnic disparities in obstetric anesthesia: a scoping review

PURPOSE

Health disparities continue to affect racial and ethnic marginalized obstetric patients disproportionally with increased risk of Cesarean delivery and pregnancy-related death. Yet, the literature on what influences such disparities in obstetric anesthesia service and its clinical outcomes is less well known. We set out to describe racial and ethnic disparities in obstetric anesthesia during the peripartum period in the USA via a scoping review of the recent literature.

SOURCE

Using the Institute of Medicine's definition of disparities, we searched the National Library of Medicine's PubMed/Medline, Embase, Web of Science, APA PsycINFO, and Google Scholar for articles published between 1 January 2000 and 30 June 2022 to identify literature on racial and ethnic disparities in obstetric anesthesia.

PRINCIPAL FINDINGS

Out of 8,432 articles reviewed, 15 met our inclusion criteria. All but one study was observational. Seven studies were single-institutional while the remaining used multicentre data/databases. All studies compared two or more race and ethnicity classifications. Studies in this review described disparities in the use of labour epidural analgesia, labour epidural request timing, anesthesia for Cesarean deliveries, postpartum pain management, and epidural blood patch for postdural puncture headaches. Several studies reported disparities observed in the unadjusted models becoming no longer significant when adjusted for other covariates.

CONCLUSION

Based on the findings of the present scoping review on racial and ethnic disparities in obstetric anesthesia, we present an evidence map identifying knowledge gaps and propose a future research agenda.

An Exploratory Analysis of Differential Prescribing of High-Risk Opioids by Insurance Type Among Patients Seen by the Same Clinician

BACKGROUND

Insurance status may influence quality of opioid analgesic (OA) prescribing among patients seen by the same clinician.

OBJECTIVE

To explore how high-risk OA prescribing varies by payer type among patients seeing the same prescriber and identify clinician characteristics associated with variable prescribing DESIGN: Retrospective cohort study using the 2016-2018 IQVIA Real World Data - Longitudinal Prescription PARTICIPANTS: New OA treatment episodes for individuals ≥ 12 years, categorized by payer and prescriber. We created three dyads: prescribers with ≥ 10 commercial insurance episodes and ≥ 10 Medicaid episodes; ≥ 10 commercial insurance episodes and ≥ 10 self-pay episodes; and ≥ 10 Medicaid episodes and ≥ 10 self-pay episodes.

MAIN OUTCOME(S) AND MEASURE(S)

Rates of high-risk episodes (initial opioid episodes with > 7-days' supply or prescriptions with a morphine milliequivalent daily dose >90) and odds of being an unbalanced prescriber (prescribers with significantly higher percentage of high-risk episodes paid by one payer vs. the other payer) KEY RESULTS: There were 88,352 prescribers in the Medicaid/self-pay dyad, 172,392 in the Medicaid/commercial dyad, and 122,748 in the self-pay/commercial dyad. In the Medicaid/self-pay and the commercial-self-pay dyads, self-pay episodes had higher high-risk episode rates than Medicaid (16.1% and 18.4%) or commercial (22.7% vs. 22.4%). In the Medicaid/commercial dyad, Medicaid had higher high-risk episode rates (21.1% vs. 20.4%). The proportion of unbalanced prescribers was 11-12% across dyads. In adjusted analyses, surgeons and pain specialists were more likely to be unbalanced prescribers than adult primary care physicians (PCPs) in the Medicaid/self-paydyad (aOR 1.2, 95% CI 1.16-1.34 and aOR 1.2, 95% CI 1.03-1.34). For Medicaid/commercial and self-pay/commercial dyads, surgeons had lower odds of being unbalanced compared to PCPs (aOR 0.6, 95% CI 0.57-0.66 and aOR 0.6, 95% CI 0.61-0.68).

CONCLUSIONS

Clinicians prescribe high-risk OAs differently based on insurance type. The relationship between insurance and opioid prescribing quality goes beyond where patients receive care.

The role of geographic disparities in outcomes after orthopaedic trauma surgery

INTRODUCTION

Healthcare disparities linked to patient rurality and socioeconomic status are known to exist, but few studies have examined the effect of urban versus rural status on outcomes after orthopedic trauma surgery. The aim of this study was to examine the correlation between patient rurality, socioeconomic status, and outcomes after orthopedic trauma.

MATERIALS AND METHODS

This is a retrospective cohort study of patients diagnosed with a hip or long bone fracture between January 2016 and December 2017. Data were collected from the Nationwide Inpatient Sample (NIS), a 20% weighted sample of 95% of the U.S. inpatient population. Patients were stratified into 3 groups: isolated hip fracture, isolated long bone fracture, and polytrauma. Bivariate analysis was completed using chi-squared tests for categorical variables and t-tests for continuous variables. Multivariable analysis was completed using population-weighted logistic regression models, based on a conceptual model derived selection of covariates.

RESULTS

We included 235,393 patients diagnosed with a hip or extremity fracture. These were weighted to represent 1,176,965 patients nationally. In the hip fracture group, rural patient status was associated with higher odds of mortality (OR 1.32, P < 0.001) but not complications (OR 0.95, P = 0.082). In the extremity fracture and polytrauma groups, rural patient status was not associated with significantly higher odds of mortality or complications. In the urban polytrauma group, zip code with below-median income was associated with increased odds of mortality (OR 1.23, P = 0.002) but not complications. In the rural polytrauma group, zip code with below-median income was not associated with significantly increased odds of mortality or complications. In the hip fracture and extremity fracture groups, below-median income was not associated with significantly higher odds of mortality.

CONCLUSION

We found that rural patients with hip fracture have higher mortality compared to urban patients and that socioeconomic disparities in mortality after a polytrauma exist in urban settings. These results speak to the ongoing need to develop objective measures of disparity-sensitive healthcare and optimize trauma systems to better serve low-income patients and patients in rural areas.

Association between Patient and Hospital Characteristics and Adherence to a Surgical Site Infection Reduction Bundle in a Statewide Surgical Quality Improvement Collaborative

BACKGROUND

Adherence to bundled interventions can reduce surgical site infection (SSI) rates; however, predictors of successful implementation are poorly characterized. We studied the association of patient and hospital characteristics with adherence to a colorectal SSI reduction bundle across a statewide surgical collaborative.

STUDY DESIGN

A 16-component colorectal SSI reduction bundle was introduced in 2016 across a statewide quality improvement collaborative. Bundle adherence was measured for patients who underwent colorectal operations at participating institutions. Multivariable mixed-effects logistic regression models were constructed to estimate associations of patient and hospital factors with bundle adherence and quantify sources of variation.

RESULTS

Among 2,403 patients at 35 hospitals, a median of 11 of 16 (68.8%, interquartile range 8 to 13) bundle elements were completed. The likelihood of completing 11 or more elements was increased for obese patients (56.8% vs 51.5%, odds ratio [OR] 1.39, 95% CI 1.05 to 1.86, p = 0.022) but reduced for underweight patients (31.0% vs 51.5%, OR 0.51, 95% CI 0.26 to 1.00, p = 0.048) compared with patients with a normal BMI. Lower adherence was noted for patients treated at safety net hospitals (n = 9 hospitals, 24.4% vs 54.4%, OR 0.08, 95% CI 0.01 to 0.44, p = 0.004). The largest proportion of adherence variation was attributable to hospital factors for six bundle elements, surgeon factors for no elements, and patient factors for nine elements.

CONCLUSION

Adherence to an SSI reduction bundle is associated with patient BMI and hospital safety net status. Quality improvement groups should consider institutional traits for optimal implementation of SSI bundles. Safety net hospitals may require additional focus to overcome unique implementation barriers.

Processes of care and outcomes for homeless patients hospitalised for cardiovascular conditions at safety-net versus non-safety-net hospitals: cross-sectional study

OBJECTIVES

Evidence suggests that homeless patients experience worse quality of care and poorer health outcomes across a range of medical conditions. It remains unclear, however, whether differences in care delivery at safety-net versus non-safety-net hospitals explain these disparities. We aimed to investigate whether homeless versus non-homeless adults hospitalised for cardiovascular conditions (acute myocardial infarction (AMI) and stroke) experience differences in care delivery and health outcomes at safety-net versus non-safety-net hospitals.

DESIGN

Cross-sectional study.

SETTING

Data including all hospital admissions in four states (Florida, Massachusetts, Maryland, and New York) in 2014.

PARTICIPANTS

We analysed 167 105 adults aged 18 years or older hospitalised for cardiovascular conditions (age mean=64.5 years; 75 361 (45.1%) women; 2123 (1.3%) homeless hospitalisations) discharged from 348 hospitals.

OUTCOME MEASURES

Risk-adjusted diagnostic and therapeutic procedure and in-hospital mortality, after adjusting for patient characteristics and state and quarter fixed effects.

RESULTS

At safety-net hospitals, homeless adults hospitalised for AMI were less likely to receive coronary angiogram (adjusted OR (aOR), 0.42; 95% CI, 0.36 to 0.50; p<0.001), percutaneous coronary intervention (aOR, 0.52; 95% CI, 0.44 to 0.62; p<0.001) and coronary artery bypass graft (aOR, 0.43; 95% CI, 0.26 to 0.71; p<0.01) compared with non-homeless adults. Homeless patients treated for strokes at safety-net hospitals were less likely to receive cerebral arteriography (aOR, 0.23; 95% CI, 0.16 to 0.34; p<0.001), but were as likely to receive thrombolysis therapy. At non-safety-net hospitals, we found no evidence that the probability of receiving these procedures differed between homeless and non-homeless adults hospitalised for AMI or stroke. Finally, there were no differences in in-hospital mortality rates for homeless versus non-homeless patients at either safety-net or non-safety-net hospitals.

CONCLUSION

Disparities in receipt of diagnostic and therapeutic procedures for homeless patients with cardiovascular conditions were observed only at safety-net hospitals. However, we found no evidence that these differences influenced in-hospital mortality markedly.

Private Insurance and Mental Health among Older Adults with Multiple Chronic Conditions: A Longitudinal Analysis by Race and Ethnicity

Older adults with multiple chronic conditions have a higher risk than those without multiple conditions of developing a mental health condition. Individuals with both physical and mental conditions face many substantial burdens. Many such individuals also belong to racial and ethnic minority groups. Private insurance coverage can reduce the risks of developing mental illnesses by increasing healthcare utilization and reducing psychological stress related to financial hardship. This study examines the association between private insurance and mental health (i.e., depressive symptoms and cognitive impairment) among older adults in the United States with multiple chronic conditions by race and ethnicity. We apply a multivariate logistic model with individual fixed-effects to 12 waves of the Health and Retirement Study. Among adults with multiple chronic conditions in late middle age nearing entry to Medicare and of all racial and ethnic groups, those without private insurance have a stronger probability of having depressive symptoms. Private insurance and Medicare can mediate the risk of cognitive impairment among non-Hispanic Whites with multiple chronic conditions and among Blacks regardless of the number of chronic conditions. Our study has implications for policies aiming to reduce disparities among individuals coping with multiple chronic conditions.

Lean Management and Hospital Performance: Adoption vs. Implementation

BACKGROUND

The Lean management system is being adopted and implemented by an increasing number of US hospitals. Yet few studies have considered the impact of Lean on hospitalwide performance.

METHODS

A multivariate analysis was performed of the 2017 National Survey of Lean/Transformational Performance Improvement in Hospitals and 2018 publicly available data from the Agency for Healthcare Research and Quality and the Center for Medicare & Medicaid Services on 10 quality/appropriateness of care, cost, and patient experience measures.

RESULTS

Hospital adoption of Lean was associated with higher Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient experience scores (b = 3.35, p < 0.0001) on a scale of 100-300 but none of the other 9 performance measures. The degree of Lean implementation measured by the number of units throughout the hospital using Lean was associated with lower adjusted inpatient expense per admission (b = -38.67; p < 0.001), lower 30-day unplanned readmission rate (b = -0.01, p < 0.007), a score above the national average on appropriate use of imaging-a measure of low-value care (odds ratio = 1.04, p < 0.042), and higher HCAHPS patient experience scores (b = 0.12, p < 0.012). The degree of Lean implementation was not associated with any of the other 6 performance measures.

CONCLUSION

Lean is an organizationwide sociotechnical performance improvement system. As such, the actual degree of implementation throughout the organization as opposed to mere adoption is, based on the present findings, more likely to be associated with positive hospital performance on at least some measures.

Evaluating inpatient adverse outcomes under California's Delivery System Reform Incentive Payment Program

OBJECTIVE

The California Delivery System Reform Incentive Payment Program (DSRIP) provided incentive payments to Designated Public Hospitals (DPHs) to improve quality of care. We assessed the program's impact on reductions in sepsis mortality, central line-associated bloodstream infections (CLABSIs), venous thromboembolisms (VTEs), and hospital-acquired pressure ulcers (HAPUs).

DATA SOURCES

We used 2009-2014 discharge data from California hospitals.

STUDY DESIGN

We used a pre-post study design with a comparison group. We constructed propensity scores and used them to assign inverse probability weights according to their similarity to DPH discharges. Interaction term coefficients of time trends and treatment group provided significance testing.

DATA EXTRACTION

We used Patient Safety Indicators for CLABSI, HAPU, and VTE, and constructed a sepsis mortality measure.

PRINCIPAL FINDINGS

Discharges from DPHs and non-DPHs both saw decreases in the four outcomes over the DSRIP period (2010-2014). The difference-in-difference estimator (DD) for sepsis was only significant during two time periods, comparing 2010 with 2012 (DD: -2.90 percent, 95% CI: -5.08, -0.72 percent) and 2010 with 2014 (DD: -5.74, 95% CI: -8.76 percent, -2.72 percent); the DD estimator was not significant comparing 2010 with 2012 (DD: -1.30, 95% CI: -3.18 percent, 0.58 percent) or comparing 2010 with 2013 (DD: -3.05 percent, 95% CI: -6.50 percent, 0.40 percent). For CLABSI, we did not find any meaningful differences between DPHs and non-DPHs across the four time periods. For HAPU and VTE, the only significant DD estimator compared 2014 with 2010.

CONCLUSIONS

We did not find that DPHs participating in DSRIP outperformed non-DPHs during the DSRIP program. Our results were robust to multiple sensitivity analyses. Given multiple concurrent inpatient safety initiatives, it was challenging to assign improvements over time periods to DSRIP.

The Impact of Income on Emergency General Surgery Outcomes in Urban and Rural Areas

BACKGROUND

Emergency general surgery (EGS) accounts for more than 2 million U.S. hospital admissions annually. Low-income EGS patients have higher rates of postoperative adverse events (AEs) than high-income patients. This may be related to health care segregation (a disparity in access to high-quality centers). The emergent nature of EGS conditions and the limited number of EGS providers in rural areas may result in less health care segregation and thereby less variability in EGS outcomes in rural areas. The objective of this study was to assess the impact of income on AEs for both rural and urban EGS patients.

MATERIALS AND METHODS

The National Inpatient Sample (2007-2014) was queried for patients receiving one of 10 common EGS procedures. Multivariate regression models stratified by income quartiles in urban and rural cohorts adjusting for sociodemographic, clinical, and other hospital-based factors were used to determine the rates of surgical AEs (mortality, complications, and failure to rescue [FTR]).

RESULTS

1,687,088 EGS patients were identified; 16.60% (n = 280,034) of them were rural. In the urban cohort, lower income quartiles were associated with higher odds of AEs (mortality OR, 1.21 [95% CI, 1.15-1.27], complications, 1.07 [1.06-1.09]; FTR, 1.17 [1.10-1.24] P < 0.001). In the rural context, income quartiles were not associated with the higher odds of AE (mortality OR, 1.14 [0.83-1.55], P = 0.42; complications, 1.06 [0.97-1,16], P = 1.17; FTR, 1.12 [0.79-1.59], P = 0.52).

CONCLUSIONS

Lower income is associated with higher postoperative AEs in the urban setting but not in a rural environment. This socioeconomic disparity in EGS outcomes in urban settings may reflect health care segregation, a differential access to high-quality health care for low-income patients.

Correlation between hospital finances and quality and safety of patient care

Background

Hospitals under financial pressure may struggle to maintain quality and patient safety and have worse patient outcomes relative to well-resourced hospitals. Poor predictive validity may explain why previous studies on the association between finances and quality/safety have been equivocal. This manuscript employs principal component analysis to produce robust measures of both financial status and quality/safety of care, to assess our a priori hypothesis: hospital financial performance is associated with the provision of quality care, as measured by quality and safety processes, patient outcomes, and patient centered care.

Methods

This 2014 cross-sectional study investigated hospital financial condition and hospital quality and safety at acute care hospitals. The hospital financial data from the Centers for Medicare and Medicaid Services (CMS) cost report were used to develop a composite financial performance score using principal component analysis. Hospital quality and patient safety were measured with a composite quality/safety performance score derived from principal component analysis, utilizing a range of established quality and safety indicators including: risk-standardized inpatient mortality, 30-day mortality, 30-day readmissions for select conditions, patient safety indicators from inpatient admissions, process of care chart reviews, CMS value-based purchasing total performance score and patient experience of care surveys. The correlation between the composite financial performance score and the composite quality/safety performance score was calculated using linear regression adjusting for hospital characteristics.

Results

Among the 108 New York State acute care facilities for which data were available, there is a clear relationship between hospital financial performance and hospital quality/safety performance score (standardized correlation coefficient 0.34, p<0.001). The composite financial performance score is also positively associated with the CMS Value Based Purchasing Total Performance Score (standardized correlation coefficient 0.277, p = 0.002); while it is negatively associated with 30 day readmission for all outcomes (standardized correlation coefficient -0.236, p = 0.013), 30-day readmission for congestive heart failure (standardized correlation coefficient -0.23, p = 0.018), 30 day readmission for pneumonia (standardized correlation coefficient -0.209, p = 0.033), and a decrease in 30-day mortality for acute myocardial infarction (standardized correlation coefficient -0.211, p = 0.027). Used alone, operating margin and total margin are poor predictors of quality and safety outcomes.

Conclusions

Strong financial performance is associated with improved patient reported experience of care, the strongest component distinguishing quality and safety. These findings suggest that financially stable hospitals are better able to maintain highly reliable systems and provide ongoing resources for quality improvement.

Comparison of 3 Safety-Net Hospital Definitions and Association With Hospital Characteristics

IMPORTANCE

No consensus exists on how to define safety-net hospitals (SNHs) for research or policy decision-making. Identifying which types of hospitals are classified as SNHs under different definitions is key to assessing policies that affect SNH funding.

OBJECTIVE

To examine characteristics of SNHs as classified under 3 common definitions.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional analysis includes noncritical-access hospitals in the Healthcare Cost and Utilization Project State Inpatient Databases from 47 US states for fiscal year 2015, linked to the Centers for Medicare & Medicaid Services Hospital Cost Reports and to the American Hospital Association Annual Survey. Data were analyzed from March 1 through September 30, 2018.

EXPOSURES

Hospital characteristics including organizational characteristics, scope of services provided, and financial attributes.

MAIN OUTCOMES AND MEASURES

Definitions of SNH based on Medicaid and Medicare Supplemental Security Income inpatient days historically used to determine Medicare Disproportionate Share Hospital (DSH) payments; Medicaid and uninsured caseload; and uncompensated care costs. For each measure, SNHs were defined as those within the top quartile for each state.

RESULTS

The 2066 hospitals in this study were distributed across the Northeast (340 [16.5%]), Midwest (587 [28.4%]), South (790 [38.2%]), and West (349 [16.9%]). Concordance between definitions was low; 269 hospitals (13.0%) or fewer were identified as SNHs under any 2 definitions. Uncompensated care captured smaller (200 of 523 [38.2%]) and more rural (65 of 523 [12.4%]) SNHs, whereas DSH index and Medicaid and uncompensated caseload identified SNHs that were larger (264 of 518 [51.0%] and 158 of 487 [32.4%], respectively) and teaching facilities (337 of 518 [65.1%] and 229 of 487 [47.0%], respectively) that provided more essential services than non-SNHs. Uncompensated care also distinguished remarkable financial differences between SNHs and non-SNHs. Under the uncompensated care definition, median (interquartile range [IQR]) bad debt ($27.1 [$15.5-$44.3] vs $12.8 [$6.7-$21.6] per $1000 of operating expenses; P < .001) and charity care ($19.9 [$9.3-$34.1] vs $9.1 [$4.0-$18.7] per $1000 of operating expenses) were twice as high and median (IQR) unreimbursed costs ($32.6 [$12.4-$55.4] vs $23.6 [$9.0-$42.7] per $1000 of operating expenses; P < .001) were 38% higher for SNHs than for non-SNHs. Safety-net hospitals defined by uncompensated care burden had lower median (IQR) total (4.7% [0%-9.9%] vs 5.8% [1.2%-11.2%]; P = .003) and operating (0.3% [-8.0% to 7.2%] vs 2.3% [-3.9% to 8.9%]; P < .001) margins than their non-SNH counterparts, whereas differences between SNH and non-SNH profit margins generally were not statistically significant under the other 2 definitions.

CONCLUSIONS AND RELEVANCE

Different SNH definitions identify hospitals with different characteristics and financial conditions. The new DSH formula, which accounts for uncompensated care, may lead to redistributed payments across hospitals. Our results may inform which types of hospitals will experience funding changes as DSH payment policies evolve.

Hospital uncompensated care and patient experience: An instrumental variable approach

OBJECTIVE

Examine the endogenous relationship between uncompensated care and hospital patient experience scores.

DATA SOURCES/STUDY SETTING

The Hospital Consumer Assessment of Healthcare Providers and Systems Survey, CMS Healthcare Cost Report Information System, and the US Census Bureau.

STUDY DESIGN

The exogenous change in uncompensated care caused by the 2014 Medicaid expansion was exploited to measure the effect of uncompensated care on patient experience scores using a 2SLS regression with instrumental variables approach.

DATA COLLECTION/EXTRACTION METHODS

U.S. general, short-term hospitals whose DSH status remained constant and had nonmissing data for 2011-2015, which totaled 969 unique hospitals per year.

PRINCIPAL FINDINGS

The effect of uncompensated care on patient experience was in the predicted direction, with three of the 10 measures being statistically significant. A one percentage point increase in uncompensated care costs resulted in a 0.25-0.50 percentage point decrease in select patient experience scores.

CONCLUSIONS

Results indicate a weak relationship between uncompensated care and patient experience scores, as a reduction in uncompensated care is related to quality improvement for some hospitals. These findings have implications for hospitals as they navigate changing reimbursement structures and policy makers considering changes to Obama-era health care reforms.

Measuring Emergency Care Survival: The Implications of Risk Adjusting for Race and Poverty

OBJECTIVES

We determined the impact of including race, ethnicity, and poverty in risk adjustment models for emergency care-sensitive conditions mortality that could be used for hospital pay-for-performance initiatives. We hypothesized that adjusting for race, ethnicity, and poverty would bolster rankings for hospitals that cared for a disproportionate share of nonwhite, Hispanic, or poor patients.

METHODS

We performed a cross-sectional analysis of patients admitted from the emergency department to 157 hospitals in Pennsylvania with trauma, sepsis, stroke, cardiac arrest, and ST-elevation myocardial infarction. We used multivariable logistic regression models to predict in-hospital mortality. We determined the predictive accuracy of adding patient race and ethnicity (dichotomized as non-Hispanic white vs. all other Hispanic or nonwhite patients) and poverty (uninsured, on Medicaid, or lowest income quartile zip code vs. all others) to other patient-level covariates. We then ranked each hospital on observed-to-expected mortality, with and without race, ethnicity, and poverty in the model, and examined characteristics of hospitals with large changes between models.

RESULTS

The overall mortality rate among 170,750 inpatients was 6.9%. Mortality was significantly higher for nonwhite and Hispanic patients (adjusted odds ratio [aOR] = 1.27, 95% confidence interval [CI] = 1.19-1.36) and poor patients (aOR = 1.21, 95% CI = 1.12-1.31). Adding race, ethnicity, and poverty to the risk adjustment model resulted in a small increase in C-statistic (0.8260 to 0.8265, p = 0.002). No hospitals moved into or out of the highest-performing decile when adjustment for race, ethnicity, and poverty was added, but the three hospitals that moved out of the lowest-performing decile, relative to other hospitals, had significantly more nonwhite and Hispanic patients (68% vs. 11%, p < 0.001) and poor patients (56% vs. 10%, p < 0.001).

CONCLUSIONS

Sociodemographic risk adjustment of emergency care-sensitive mortality improves apparent performance of some hospitals treating a large number of nonwhite, Hispanic, or poor patients. This may help these hospitals avoid financial penalties in pay-for-performance programs.

Pediatric Adverse Event Rates Associated With Inexperience in Teaching Hospitals: A Multilevel Analysis

High adverse event rates are a signal of potentially low-quality care that imposes burdens on patients, families, and hospitals. In this article, we examine the relationship between the distinct characteristics of teaching hospitals with adverse event rates among pediatric patients, controlling for patient complexity and severity using 2009-2011 Nationwide Inpatient Sample data from the Agency for Healthcare Research and Quality. We hypothesize that adverse event rates increase with the availability of more complex services and technologies (transplantation and pediatric open-heart surgery); increase as experience of providers decreases (July effect); and increase with residents per bed, a measure of both average provider inexperience and congestion. Using multilevel analysis, we find empirical evidence in support of our three hypotheses. We find that in environments where more learning occurs, more mistakes are made. Identifying high-performing hospitals with large residency programs and complex service lines that have made progress in patient safety and then studying how they have done so should become a priority. These findings should then be adapted within other hospitals through publicly funded mechanisms to improve the quality of care for all children.

Improved Rates of Immediate Breast Reconstruction at Safety Net Hospitals

BACKGROUND

Substantial federal resources have been directed toward ensuring the delivery of high-quality care at safety net hospitals. Although disparities in receipt of breast reconstruction persist at the patient level, the extent to which hospital factors contribute to these differences remains unclear. The rates of immediate breast reconstruction across safety net and non-safety net hospitals were investigated.

METHODS

Women 21 years and older with breast cancer or increased risk of breast cancer undergoing immediate post-mastectomy reconstruction were identified in the Nationwide Inpatient Sample database. Safety net hospitals were defined as hospitals with the highest tertile of Medicaid disproportionate share hospital payment adjustments. Adjusted odds ratios of undergoing reconstruction were calculated.

RESULTS

Thirty-one percent of patients (n = 10,910) at safety net hospitals underwent immediate reconstruction compared with 46 percent of patients (n = 14,619) at non-safety net hospitals (p < 0.001). Logistic regression revealed that women at non-safety net hospitals were significantly more likely to undergo reconstruction (OR, 1.89; 95 percent CI, 1.65 to 2.16). However, analysis by study year revealed that rates of reconstruction at safety net hospitals increased over time.

CONCLUSIONS

After accounting for sociodemographic factors, women undergoing mastectomies at safety net hospitals remain less likely to undergo immediate breast reconstruction. However, the differences in rates of reconstruction between safety net and non-safety net hospitals have narrowed over time. The availability of immediate reconstruction lessens the psychological trauma of mastectomy, and it is critical to continue redirecting federal efforts toward this valuable component of breast cancer care.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Risk, II.

Performance Measurement and Target-Setting in California's Safety Net Health Systems

Health policies encourage implementing quality measurement with performance targets. The 2010-2015 California Medicaid waiver mandated quality measurement and reporting. In 2013, California safety net hospitals participating in the waiver set a voluntary performance target (the 90th percentile for Medicare preferred provider organization plans) for mammography screening and cholesterol control in diabetes. They did not reach the target, and the difference-in-differences analysis suggested that there was no difference for mammography ( P = .39) and low-density lipoprotein control ( P = .11) performance compared to measures for which no statewide quality improvement initiative existed. California's Medicaid waiver was associated with improved performance on a number of metrics, but this performance was not attributable to target setting on specific health conditions. Performance may have improved because of secular trends or systems improvements related to waiver funding. Relying on condition-specific targets to measure performance may underestimate improvements and disadvantage certain health systems. Achieving ambitious targets likely requires sustained fiscal, management, and workforce investments.

Differences in Use of High-quality and Low-quality Hospitals Among Working-age Individuals by Insurance Type

BACKGROUND

Research suggests that individuals with Medicaid or no insurance receive fewer evidence-based treatments and have worse outcomes than those with private insurance for a broad range of conditions. These differences may be due to patients' receiving care in hospitals of different quality.

RESEARCH DESIGN

We used the Healthcare Cost and Utilization Project State Inpatient Databases 2009-2010 data to identify patients aged 18-64 years with private insurance, Medicaid, or no insurance who were hospitalized with acute myocardial infarction, heart failure, pneumonia, stroke, or gastrointestinal hemorrhage. Multinomial logit regressions estimated the probability of admissions to hospitals classified as high, medium, or low quality on the basis of risk-adjusted, in-hospital mortality.

RESULTS

Compared with patients who have private insurance, those with Medicaid or no insurance were more likely to be minorities and to reside in areas with low-socioeconomic status. The probability of admission to high-quality hospitals was similar for patients with Medicaid (23.3%) and private insurance (23.0%) but was significantly lower for patients without insurance (19.8%, P<0.01) compared with the other 2 insurance groups. Accounting for demographic, socioeconomic, and clinical characteristics did not influence the results.

CONCLUSIONS

Previously noted disparities in hospital quality of care for Medicaid recipients are not explained by differences in the quality of hospitals they use. Patients without insurance have lower use of high-quality hospitals, a finding that needs exploration with data after 2013 in light of the Affordable Care Act, which is designed to improve access to medical care for patients without insurance.

Safety-net Hospitals Face More Barriers Yet Use Fewer Strategies to Reduce Readmissions

OBJECTIVE

US hospitals that care for vulnerable populations, "safety-net hospitals" (SNHs), are more likely to incur penalties under the Hospital Readmissions Reduction Program, which penalizes hospitals with higher-than-expected readmissions. Understanding whether SNHs face unique barriers to reducing readmissions or whether they underuse readmission-prevention strategies is important.

DESIGN

We surveyed leadership at 1600 US acute care hospitals, of whom 980 participated, between June 2013 and January 2014. Responses on 28 questions on readmission-related barriers and strategies were compared between SNHs and non-SNHs, adjusting for nonresponse and sampling strategy. We further compared responses between high-performing SNHs and low-performing SNHs.

RESULTS

We achieved a 62% response rate. SNHs were more likely to report patient-related barriers, including lack of transportation, homelessness, and language barriers compared with non-SNHs (P-values<0.001). Despite reporting more barriers, SNHs were less likely to use e-tools to share discharge summaries (70.1% vs. 73.7%, P<0.04) or verbally communicate (31.5% vs. 39.8%, P<0.001) with outpatient providers, track readmissions by race/ethnicity (23.9% vs. 28.6%, P<0.001), or enroll patients in postdischarge programs (13.3% vs. 17.2%, P<0.001). SNHs were also less likely to use discharge coordinators, pharmacists, and postdischarge programs. When we examined the use of strategies within SNHs, we found trends to suggest that high-performing SNHs were more likely to use several readmission strategies.

CONCLUSIONS

Despite reporting more barriers to reducing readmissions, SNHs were less likely to use readmission-reduction strategies. This combination of higher barriers and lower use of strategies may explain why SNHs have higher rates of readmissions and penalties under the Hospital Readmissions Reduction Program.

"They Treat you a Different Way:" Public Insurance, Stigma, and the Challenge to Quality Health Care

Under the Affordable Care Act, Medicaid Expansion programs are extending Medicaid eligibility and increasing access to care. However, stigma associated with public insurance coverage may importantly affect the nature and content of the health care beneficiaries receive. In this paper, we examine the health care stigma experiences described by a group of low-income public insurance beneficiaries. They perceive stigma as manifest in poor quality care and negative interpersonal interactions in the health care setting. Using an intersectional approach, we found that the stigma of public insurance was compounded with other sources of stigma including socioeconomic status, race, gender, and illness status. Experiences of stigma had important implications for how subjects evaluated the quality of care, their decisions impacting continuity of care, and their reported ability to access health care. We argue that stigma challenges the quality of care provided under public insurance and is thus a public health issue that should be addressed in Medicaid policy.

Nursing home 5-star rating system exacerbates disparities in quality, by payer source

Market-based reforms in health care, such as public reporting of quality, may inadvertently exacerbate disparities. We examined how the Centers for Medicare and Medicare Services' five-star rating system for nursing homes has affected residents who are dually enrolled in Medicare and Medicaid ("dual eligibles"), a particularly vulnerable and disadvantaged population. Specifically, we assessed the extent to which dual eligibles and non-dual eligibles avoided the lowest-rated nursing homes and chose the highest-rated homes once the five-star rating system began, in late 2008. We found that both populations resided in better-quality homes over time but that by 2010 the increased likelihood of choosing the highest-rated homes was substantially smaller for dual eligibles than for non-dual eligibles. Thus, the gap in quality, as measured by a nursing home's star rating, grew over time. Furthermore, we found that the benefit of the five-star system to dual eligibles was largely due to providers' improving their ratings, not to consumers' choosing different providers. We present evidence suggesting that supply constraints play a role in limiting dual eligibles' responses to quality ratings, since high-quality providers tend to be located close to relatively affluent areas. Increases in Medicaid payment rates for nursing home services may be the only long-term solution.

Characterization of Young Adult Emergency Department Users: Evidence to Guide Policy

PURPOSE

The purpose of this study was to characterize young adult patients aged 19-25 years who are emergency department (ED) frequent users and study factors associated with frequent ED use.

METHODS

ED visits among 19- to 25-year olds were identified from administrative records in California, Florida, Iowa, Massachusetts, and New York, 2010. Patients were analyzed for 12 months to study the frequency of their ED utilization. ED visits were categorized according to primary diagnosis. Patients were stratified by frequency of ED use: one visit (single users), two to four visits (infrequent users), and five or more visits (frequent users) in a 1-year period.

RESULTS

We identified 1,711,774 young adult patients who made 3,650,966 ED visits. Sixty-six percent of patients were single users, 29% were infrequent users, and 4.6% were frequent users. Frequent users accounted for a disproportionate 28.8% of visits within the population studied. Frequent users had the largest proportion of visits for complications of pregnancy (13.6%) compared to single users (6.1%) and Medicaid (42.6%) compared to private insurance (17.3%). There was an increased risk of frequent ED use associated with females (odds ratio [OR]: 1.77), Medicaid (OR: 3.21), and Medicare insurance (OR: 4.22) compared to private insurance, and diseases of the blood (OR: 3.36) and mental illness (OR: 1.99) compared to injury and poisoning.

CONCLUSIONS

Frequent users comprise a significant portion of the young adult ED population and present with a large proportion of visits for complications of pregnancy. Policies targeting this population might focus on improved access to primary and urgent care, acute obstetric care, and better coordination of care.

Medicaid beneficiaries undergoing complex surgery at quality care centers: insights into the Affordable Care Act

BACKGROUND

Medicaid beneficiaries do not have equal access to high-volume centers for complex surgical procedures. We hypothesize there is a large Medicaid Gap between those receiving emergency general vs complex surgery at the same hospital.

METHODS

Using the Nationwide Inpatient Sample, 1998 to 2010, we identified high-volume pancreatectomy hospitals. We then compared the percentage of Medicaid patients receiving appendectomies vs pancreatectomies at these hospitals. Hospital characteristics associated with increased Medicaid Gap were evaluated using generalized estimating equation models.

RESULTS

A total of 602 hospital-years of data from 289 high-volume pancreatectomy hospitals were included. Median percentages of Medicaid appendectomies and pancreatectomies were 12.1% (interquartile range: 5.8% to 19.8%) and 6.7% (interquartile range: 0% to 15.4%), respectively. Hospitals that performed greater than or equal to 40 pancreatic resections per year had higher odds of having significant Medicaid Gap (odds ratio 2.3, 95% confidence interval 1.1 to 5.0).

CONCLUSIONS

Gaps exist between the percentages of Medicaid patients receiving emergency general surgery vs more complex surgical care at the same hospital and may be exaggerated in hospitals with very high volume of complex elective surgeries.

The Effect of a Care Transition Intervention on the Patient Experience of Older Multi-Lingual Adults in the Safety Net: Results of a Randomized Controlled Trial

BACKGROUND

The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) and Care Transitions Measure (CTM-3) scores are patient experience measures used to determine hospital value-based purchasing reimbursement. Interventions to improve 30-day readmissions have met with mixed results, but less is known about their potential to improve the patient experience among older ethnically and linguistically diverse adults receiving care at safety-net hospitals. In this study, we assessed the effect of a nurse-led hospital-based care transition intervention on discharge-related patient experience in an older multilingual population of adults hospitalized at a safety-net hospital.

METHODS

We randomized 700 inpatients aged 55 and older at an academic urban safety-net hospital. In addition to usual care, intervention participants received inpatient visits by a language-concordant study nurse and post-discharge phone calls from a language-concordant nurse practitioner to reinforce the care plan and to address acute complaints. We measured HCAHPS nursing, medication, and discharge communication domain scores and CTM-3 scores at 30 days after hospital discharge.

RESULTS

Of 685 participants who survived to 30 days, 90 % (n = 616) completed follow-up interviews. The mean age was 66.2 years; over half (54.2 %) of the participants had cognitive impairment, and 33.8 % had moderate to severe depression. The majority (62.1 %) of interviews were conducted in English; 23.3 % were conducted in Chinese and 14.6 % in Spanish. Study nurses spent an average of 157 min with intervention participants. Between intervention and usual care participants, CTM-3 scores (80.5 % vs 78.5 %; p = 0.18) and HCAHPS discharge communication domain scores (74.8 % vs 68.7 %; p = 0.11) did not differ, nor did HCAHPS scores in medication (44.5 % vs 53.1 %; p = 0.13) and nursing domains (67.9 % vs 64.9 %; p = 0.43). When stratified by language, no significant differences were seen.

CONCLUSION

An inpatient standalone transition-of-care intervention did not improve patient discharge experience. Older multi-lingual and cognitively impaired populations may require higher-intensity interventions post-hospitalization to improve discharge experience outcomes.

The Financial Effect of Value-Based Purchasing and the Hospital Readmissions Reduction Program on Safety-Net Hospitals in 2014: A Cohort Study

BACKGROUND

Medicare's value-based purchasing (VBP) and the Hospital Readmissions Reduction Program (HRRP) could disproportionately affect safety-net hospitals.

OBJECTIVE

To determine whether safety-net hospitals incur larger financial penalties than other hospitals under VBP and HRRP.

DESIGN

Cross-sectional analysis.

SETTING

United States in 2014.

PARTICIPANTS

3022 acute care hospitals participating in VBP and the HRRP.

MEASUREMENTS

Safety-net hospitals were defined as being in the top quartile of the Medicare disproportionate share hospital (DSH) patient percentage and Medicare uncompensated care (UCC) payments per bed. The differences in penalties in both total dollars and dollars per bed between safety-net hospitals and other hospitals were estimated with the use of bivariate and graphical regression methods.

RESULTS

Safety-net hospitals in the top quartile of each measure were more likely to be penalized under VBP than other hospitals (62.9% vs. 51.0% under the DSH definition and 60.3% vs. 51.5% under the UCC per-bed definition). This was also the case under the HRRP (80.8% vs. 69.0% and 81.9% vs. 68.7%, respectively). Safety-net hospitals also had larger payment penalties ($115 900 vs. $66 600 and $150 100 vs. $54 900, respectively). On a per-bed basis, this translated to $436 versus $332 and $491 versus $314, respectively. Sensitivity analysis setting the cutoff at the top decile rather than the top quartile decile led to similar conclusions with somewhat larger differences between safety-net and other hospitals. The quadratic fit of the data indicated that the larger effect of these penalties is in the middle of the distribution of the DSH and UCC measures.

LIMITATION

Only 2 measures of safety-net status were included in the analyses.

CONCLUSION

Safety-net hospitals were disproportionately likely to be affected under VBP and the HRRP, but most incurred relatively small payment penalties in 2014.

PRIMARY FUNDING SOURCE

Patient-Centered Outcomes Research Institute.

Differences in the rates of patient safety events by payer: implications for providers and policymakers

BACKGROUND

The reduction of adverse patient safety events and the equitable treatment of patients in hospitals are clinical and policy priorities. Health services researchers have identified disparities in the quality of care provided to patients, both by demographic characteristics and insurance status. However, less is known about the extent to which disparities reflect differences in the places where patients obtain care, versus disparities in the quality of care provided to different groups of patients in the same hospital.

OBJECTIVE

In this study, we examine whether the rate of adverse patient safety events differs by the insurance status of patients within the same hospital.

METHODS

Using discharge data from hospitals in 11 states, we compared risk-adjusted rates for 13 AHRQ Patient Safety Indicators by Medicare, Medicaid, and Private payer insurance status, within the same hospitals. We used multivariate regression to assess the relationship between insurance status and rates of adverse patient safety events within hospitals.

RESULTS

Medicare and Medicaid patients experienced significantly more adverse safety events than private pay patients for 12 and 7 Patient Safety Indicators, respectively (at P < 0.05 or better). However, Medicaid patients had significantly lower event rates than private payers on 2 Patient Safety Indicators.

CONCLUSIONS

Risk-adjusted Patient Safety Indicator rates varied with patients' insurance within the same hospital. More research is needed to determine the cause of differences in care quality received by patients at the same hospital, especially if quality measures are to be used for payment.

Safety-net hospitals more likely than other hospitals to fare poorly under Medicare's value-based purchasing

Medicare's value-based purchasing (VBP) program potentially puts safety-net hospitals at a financial disadvantage compared to other hospitals. In 2014, the second year of the program, patient mortality measures were added to the VBP program's algorithm for assigning penalties and rewards. We examined whether the inclusion of mortality measures in the second year of the program had a disproportionate impact on safety-net hospitals nationally. We found that safety-net hospitals were more likely than other hospitals to be penalized under the VBP program as a result of their poorer performance on process and patient experience scores. In 2014, 63 percent of safety-net hospitals versus 51 percent of all other sample hospitals received payment rate reductions under the program. However, safety-net hospitals' performance on mortality measures was comparable to that of other hospitals, with an average VBP survival score of thirty-two versus thirty-one among other hospitals. Although safety-net hospitals are still more likely than other hospitals to fare poorly under the VBP program, increasing the weight given to mortality in the VBP payment algorithm would reduce this disadvantage.

How do integrated health care systems address racial and ethnic disparities in colon cancer?

PURPOSE

Colorectal cancer (CRC) disparities have persisted over the last two decades. CRC is a complex disease requiring multidisciplinary care from specialists who may be geographically separated. Few studies have assessed the association between integrated health care system (IHS) CRC care quality, survival, and disparities. The purpose of this study was to determine if exposure to an IHS positively affects quality of care, risk of mortality, and disparities.

PATIENTS AND METHODS

This retrospective secondary-data analysis study, using the California Cancer Registry linked to state discharge abstracts of patients treated for colon cancer (2001 to 2006), compared the rates of National Comprehensive Cancer Network (NCCN) guideline-based care, the hazard of mortality, and racial/ethnic disparities in an IHS versus other settings.

RESULTS

More than 30,000 patient records were evaluated. The IHS had overall higher rates of adherence to NCCN guidelines. Propensity score-matched Cox models showed an independent and protective association between care in the IHS and survival (hazard ratio [HR], 0.87; 95% CI, 0.85 to 0.90). This advantage persisted across stage groups. Black race was associated with increased hazard of mortality in all other settings (HR, 1.15; 95% CI, 1.04 to 1.27); however, there was no disparity within the IHS for any minority group (P > .11 for all groups) when compared with white race.

CONCLUSION

The IHS delivered higher rates of evidence-based care and was associated with lower 5-year mortality. Racial/ethnic disparities in survival were absent in the IHS. Integrated systems may serve as the cornerstone for developing accountable care organizations poised to improve cancer outcomes and eliminate disparities under health care reform.

Variability in ADHD care in community-based pediatrics

BACKGROUND

Although many efforts have been made to improve the quality of care delivered to children with attention-deficit/hyperactivity disorder (ADHD) in community-based pediatric settings, little is known about typical ADHD care in these settings other than rates garnered through pediatrician self-report.

METHODS

Rates of evidence-based ADHD care and sources of variability (practice-level, pediatrician-level, patient-level) were determined by chart reviews of a random sample of 1594 patient charts across 188 pediatricians at 50 different practices. In addition, the associations of Medicaid-status and practice setting (ie, urban, suburban, and rural) with the quality of ADHD care were examined.

RESULTS

Parent- and teacher-rating scales were used during ADHD assessment with approximately half of patients. The use of Diagnostic and Statistical Manual of Mental Disorders criteria was documented in 70.4% of patients. The vast majority (93.4%) of patients with ADHD were receiving medication and only 13.0% were receiving psychosocial treatment. Parent- and teacher-ratings were rarely collected to monitor treatment response or side effects. Further, fewer than half (47.4%) of children prescribed medication had contact with their pediatrician within the first month of prescribing. Most variability in pediatrician-delivered ADHD care was accounted for at the patient level; however, pediatricians and practices also accounted for significant variability on specific ADHD care behaviors.

CONCLUSIONS

There is great need to improve the quality of ADHD care received by children in community-based pediatric settings. Improvements will likely require systematic interventions at the practice and policy levels to promote change.

The association of intensivists with failure-to-rescue rates in outlier hospitals: results of a national survey of intensive care unit organizational characteristics

PURPOSE

Critical care is often an integral part of rescue for patients with surgical complications. We sought to understand critical care characteristics predictive of failure-to-rescue (FTR) performance at the hospital level.

METHODS

Using 2009 to 2011 FTR data from Hospital Compare, we identified 144 outlier hospitals with significantly better/worse performance than the national average. We surveyed intensive care unit (ICU) directors and nurse managers regarding physical structures, patient composition, staffing, care protocols, and rapid response teams (RRTs). Hospitals were compared using descriptive statistics and logistic regression.

RESULTS

Of 67 hospitals completing the survey, 56.1% were low performing, and 43.9% were high performing. Responders were more likely to be teaching hospitals (40.9% vs 25.0%; P=.05) but were similar to nonresponders in terms of size, region, ownership, and FTR performance. Poor performers were more likely to serve higher proportions of Medicaid patients (68.4% vs 20.7%; P<.0001) and be level 1 trauma centers (55.9% vs 25.9%; P=.02). After controlling for these 2 characteristics, an intensivist on the RRT (adjusted odds ratio, 4.27; confidence interval, 1.45-23.02; P=.005) and an internist on staff in the ICU (adjusted odds ratio, 2.13; P=.04) were predictors of high performance.

CONCLUSIONS

Intensivists on the RRT and internists in the ICU may represent discrete organizational strategies for improving patient rescue. Hospitals with high Medicaid burden fare poorly on the FTR metric.

Comparing teaching versus nonteaching hospitals: the association of patient characteristics with teaching intensity for three common medical conditions

PURPOSE

To quantify the role of teaching hospitals in direct patient care, the authors compared characteristics of patients served by hospitals of varying teaching intensity.

METHOD

The authors studied Medicare beneficiaries ≥ 66 years old, hospitalized in 2009-2010 for acute myocardial infarction, heart failure, or pneumonia. They categorized hospitals as nonteaching, teaching, or Council of Teaching Hospitals and Health Systems (COTH) members and performed secondary analyses using intern and resident-to-bed ratios. The authors used descriptive statistics, adjusted odds ratios, and linear propensity scores to compare patient characteristics among teaching intensity levels. They supplemented Medicare mortality model variables with race, transfer status, and distance traveled.

RESULTS

Adjusted for comorbidities, black patients had 2.44 (95% confidence interval [CI] 2.36-2.52), 2.56 (95% CI 2.51-2.60), and 2.58 (95% CI 2.51-2.65) times the odds of COTH hospital admission compared with white patients for acute myocardial infarction, heart failure, and pneumonia, respectively. For patients transferred from another hospital's inpatient setting, the corresponding adjusted odds ratios of COTH hospital admission were 3.99 (95% CI 3.85-4.13), 4.60 (95% CI 4.34-4.88), and 4.62 (95% CI 4.16-5.12). Using national data, distributions of propensity scores (probability of admission to a COTH hospital) varied markedly among teaching intensity levels. Data from Massachusetts and California illustrated between-state heterogeneity in COTH utilization.

CONCLUSIONS

Major teaching hospitals are significantly more likely to provide care for minorities and patients requiring transfer from other institutions for advanced care.Both are essential to an equitable and high-quality regional health care system.

Racial disparities in readmissions and site of care for major surgery

BACKGROUND

Racial disparities have been described in many surgical outcomes. We sought to examine whether these disparities extend to postoperative readmission rates and whether the disparities are associated with differences in patient mix and/or hospital-level differences.

STUDY DESIGN

National Medicare beneficiaries undergoing operations in 3 different specialties from 2006 to 2008 were examined: colectomy, hip replacement, and coronary artery bypass grafting (CABG) (n = 798,279). Our outcome measure was risk-adjusted 30-day readmission. We first used logistic regression to adjust for patient factors. We then stratified hospitals into quintiles according to the proportion of black patients treated and examined the differences in readmission rates between blacks and whites. Finally, we used fixed effects regression models that further adjust for the hospital to explore whether the disparity was attenuated after accounting for hospital differences.

RESULTS

Black patients were readmitted more often after all 3 operations compared with white patients. The unadjusted odds ratio (OR) for readmission for all 3 operations combined was 1.25 (95% CI 1.22 to 1.28) (colectomy OR 1.17, 95% CI 1.13 to 1.22; hip replacement OR 1.20, 95% CI 1.14 to 1.27; CABG OR 1.25, 95% CI 1.19 to 1.30). Adjusting for patient factors explained 36% of the disparity for all 3 operations (35% for colectomy, 0% for hip replacement, and 32% for CABG), but in analysis that adjusts for hospital differences, we found that the hospitals where care was received also explained 28% of the disparity (35% for colectomy, 70% for hip replacement and 20% for CABG).

CONCLUSIONS

Black patients are significantly more likely to be readmitted to the hospital after major surgery compared with white patients. This disparity was attenuated after adjusting for patient factors as well as hospital differences.

The quality of hospital care for Medicaid and private pay patients

CONTEXT

Understanding Medicaid performance relative to private payers and among other states may lead to better value.

DESIGN, SETTING, AND PARTICIPANTS

Hospital Quality Alliance data from 2007-2008 were used to create composite "all-or-none" quality scores for nearly 900,000 nonelderly adult patients hospitalized with acute myocardial infarction (AMI), congestive heart failure (CHF), or pneumonia.

MAIN OUTCOME MEASURES

Differences in the quality of care received by Medicaid compared with privately insured patients at the national and state levels.

RESULTS

Nationally, 88% of Medicaid beneficiaries received all appropriate processes of care when hospitalized for AMI, compared with 73% for CHF and 77% for pneumonia. Private patients received higher quality of care than Medicaid patients, but differences were small (1.3 percentage point difference, pneumonia; 2.7, AMI; 2.9, CHF; all P<0.05). At the state level, the differences averaged <3 percentage points across all conditions, but some states (2-8 states depending on the condition) exhibited significant (P<0.05) differences of >5 percentage points in favor of private patients. Two states exhibited significantly better quality of care for their Medicaid patients in excess of 5 percentage points. Quality scores for both Medicaid and private patients varied significantly by state but were highly correlated (correlations for AMI=0.80, CHF=0.84, pneumonia=0.80; all P<0.001).

CONCLUSIONS

Small national differences in quality between hospitalized Medicaid and private patients are promising, although merit close monitoring as states are forced to curb Medicaid reimbursements. Although quality for Medicaid patients varied by state, high correlations with private patients suggest that the factors driving quality have more to do with geographic factors in the delivery of hospital services than with state-established Medicaid policies.

County versus private hospitals: access of care, management and outcomes for patients with appendicitis

Adult patients with appendicitis treated at a safety-net hospital were of lower socioeconomic background and had higher appendiceal perforation rates and longer lengths of hospitalization.

Background and Objectives:

Race/ethnicity and socioeconomic status may affect healthcare access (higher appendiceal perforation [AP] rates), management (lower laparoscopic appendectomy [LA] rates), and outcomes in patients with appendicitis. This study determines if disparities exist between county and private hospitals.

Methods:

A review of patients ≥18 years treated for appendicitis from 1998 through 2007 was performed. Data from a county hospital were compared to data from 12 private hospitals. Study outcomes included length of hospitalization (LOH), and rates of AP, LA, and abscess drainage. Predictor variables collected included age, sex, race/ethnicity, per-capita income, and hospital type.

Results:

For this study, 16,512 patients were identified (county=1,293, private=15,219). On univariate analysis, patients at the county hospital had lower mean per-capita incomes ($13,412 vs. $17,584, P<.0001), similar AP rates at presentation (26% vs. 24%, P=.10), and lower abscess drainage (0.2% vs. 2.1%, P<.0001). However, multivariate analysis demonstrated a higher AP (OR 1.4, CI 1.2–1.6) and LA rate (OR 1.9, CI 1.7–2.2), a lower abscess drainage rate (0.07, 95%CI 0.02–0.27), and longer LOH (parameter estimate = 0.4, P<.0001) at the county hospital. Within the county hospital cohort, LOH and rates of AP, LA, and abscess drainage were similar across all races/ethnicities and income levels.

Conclusions:

When compared to private hospital patients, adults with appendicitis treated at a county hospital were of lower socioeconomic background, had higher AP rates and longer LOH, but were more likely to undergo LA and less likely to require abscess drainage. Since racial and socioeconomic disparities were no longer apparent once within the county hospital cohort, these differences may be due to differences in access to healthcare.

Late presentation of colorectal cancer in a vulnerable population

OBJECTIVES

We examined colorectal cancer (CRC) stage at presentation and mortality in a vulnerable population compared with nationally representative data.

METHODS

CRC cases were identified from San Francisco General Hospital (SFGH) and the Surveillance Epidemiology and End Results (SEER) database.

RESULTS

Fifty-five percent of the SFGH cohort presented with advanced disease, compared with 44% of the SEER cohort. Increased risk of advanced stage at presentation at SFGH compared with SEER was most evident among blacks and Asians. There was weak evidence for worse survival at SFGH compared with SEER overall. This varied by race with poorer survival at SFGH among whites and possibly blacks but some evidence for better survival among Asians. Among CRC patients at SFGH, Asians and Hispanics had better survival than whites and blacks. At SFGH, 44% had a diagnosis of CRC within 1 year of establishing care there. Of those who had established care at SFGH for at least 1 year, only 22% had exposure to CRC screening tests.

CONCLUSIONS

These findings allow examination of CRC presentation by ethnicity in vulnerable populations and identify areas where access and utilization of CRC screening can be improved.

Are there differences in access to care, treatment, and outcomes for children with appendicitis treated at county versus private hospitals?

INTRODUCTION

We conducted a study to determine whether hospital type (county [ie, safety-net] vs private) affects health care access (appendiceal perforation [AP] rates), treatment (laparoscopic appendectomy [LA] rates), and outcomes in children with appendicitis.

METHODS

A review of cases involving children who had appendicitis between 1998 and 2007 was performed. Data from county and private hospitals were compared. Outcomes were AP rates, LA rates, need for postoperative abscess drainage, length of hospitalization (LOH), and cost.

RESULTS

Multivariate analysis confirmed that among 7902 patients, (county = 682; private = 7220), county-hospital patients had lower incomes, higher AP rates, higher LA rates, lower postoperative abscess drainage rates, and longer LOH than did private-hospital patients. The longer LOH at the county institution led to higher costs. Within the county hospital, outcomes were similar across all ethnic groups and income levels.

CONCLUSIONS

Children with appendicitis treated at a county hospital were of lower socioeconomic background and had higher AP rates, longer LOH, and higher costs than their counterparts at private hospitals, but were more likely to undergo LA and require less abscess drainage. Within the county hospital, ethnic and socioeconomic disparities were not apparent; thus, these differences between institutions might have been caused by underlying disparities in ethnicity, income, and health care access.

Differences in mortality for surgical cancer patients by insurance and hospital safety net status

Recent research suggests hospitals serving low-income patients have poorer outcomes. However, safety net hospitals (SNHs) offering access to care regardless of insurance coverage may provide better care than low-income patients would otherwise receive. This study considers the association between insurance and mortality among surgical cancer patients and the role of SNHs. We estimate models of 1- and 5-year mortality on insurance, SNH status, patient characteristics, and hospital surgical volume for colorectal and breast cancer patients. Interaction terms between insurance and SNH status estimate how mortality differs by insurance source at SNHs. Medicaid and uninsurance are associated with significantly higher mortality for colorectal cancer patients. There is a statistically significant improvement in mortality for Medicaid colorectal cancer patients treated in SNHs relative to non-SNHs and a marginally significant improvement for uninsured breast cancer patients treated in SNHs. The results suggest a survival benefit for low-income patients treated in SNHs.