Racial and Insurance Status Disparities in Patient Safety Indicators among Hospitalized Patients

Incidence and Risk Factors of Delirium Following Brain Tumor Resection: A Retrospective National Inpatient Sample Database Study

OBJECTIVE

The aim of this study was to evaluate the occurrence and factors predisposing to delirium following brain tumor resection.

METHODS

Data from patients who underwent brain tumor resection surgery from 2016 to 2019 were extracted from the National Inpatient Sample database and retrospectively analyzed. The difference between the 2 groups was compared by Wilcoxon rank test or χ2 test was used. Univariate and multivariate logistic regression analyses were used to identify the risk factors of delirium after brain tumor resection.

RESULTS

From 2016 to 2019, 28,340 patients who underwent brain tumor resection were identified in the National Inpatient Sample database, with the incidence of delirium being 4.79% (1357/28,340). It was found that increased incidence of delirium was significantly associated with age over 75 years and males (all P < 0.001). Besides, patients with delirium were more likely to have multiple comorbidities and to receive elective surgery (all P < 0.001). The results of logistic regression analysis showed that self-pay (odds ratio [OR] = 0.51; confidence interval [CI] = 0.31-0.83; P = 0.007), elective admission (OR = 0.53; CI = 0.47-0.60; P < 0.001), obesity (OR = 0.77; CI = 0.66-0.92; P = 0.003), females (OR = 0.79; CI = 0.71-0.88; P < 0.001), and private insurance (OR = 0.80; CI = 0.67-0.95; P = 0.012) were associated with lower occurrence of delirium. Besides, delirium was related to extra total hospital charges (P < 0.001), increased length of stay (P < 0.001), higher inpatient mortality (P = 0.001), and perioperative complications (including heart failure, acute renal failure, urinary tract infection, urinary retention, septicemia, pneumonia, blood transfusion, and cerebral edema) (P < 0.001).

CONCLUSIONS

Many factors were associated with the occurrence of delirium after brain tumor resection. Therefore, clinicians should identify high-risk patients prone to delirium in a timely manner and take effective management measures to reduce adverse outcomes.

Assessing Between- and Within-Hospital Differences in Patient Safety Between Medicaid and Privately Insured Hospital Patients

OBJECTIVES

The aims of the study are to investigate differences in rates of adverse safety events between nonelderly adult patients with Medicaid and those with private insurance and to assess whether differences are driven by differences in access to quality hospitals or differences in the quality of care delivered within hospitals.

DATA SOURCE

Inpatient records from 26 states in 2017 were collected from the Agency for Health Care Research and Quality's Hospital Cost and Utilization Project.

STUDY DESIGN

This study measures differences in 11 patient safety indicators between patients with Medicaid coverage and patients with private insurance coverage. I use regression analysis to investigate differences in adverse safety events within hospitals. I further establish hospital-level quality based on overall rates of adverse safety events and use regression analysis to evaluate the difference in the probability of admission to high-quality hospitals.

DATA COLLECTION/EXTRACTION

This study uses hospital discharge data that is restricted to adults ages 19-64 with Medicaid or private coverage.

PRINCIPAL FINDINGS

Relative to privately insured patients, Medicaid patients had significantly higher rates of adverse safety events on 8 of 11 patient safety indicators, including on 6 of 7 surgery-related patient safety indicators. Medicaid patients experience respiratory failure and sepsis infections at rates that are 2.9 and 2.5 cases per 1000 greater than rates experienced by privately insured patients. After adjusting for demographic characteristics, patient diagnostic classifications and comorbidities, and geographic factors, 6 of 11 differences in patient safety indicators remained large and statistically significant. These differences were unchanged when further including hospital indicators, indicating that Medicaid and privately insured patients receive different quality of care within hospitals. There is little association between overall hospital quality and differences in the probability of admission between Medicaid and privately covered patients.

CONCLUSIONS

Medicaid patients received lower quality of care, based on patient safety metrics, relative to privately insured patients within the same hospitals. Reducing payer disparities in adverse safety events requires reforming staffing and treatment patterns for Medicaid and privately insured patients within hospitals.

STUDY DATE AND LOCATION

Analysis for this study was conducted in 2023 at the Urban Institute and at Loyola University Chicago.

Patient Safety Indicators During the Initial COVID-19 Pandemic Surge in the United States

OBJECTIVE

The COVID-19 pandemic presented a challenge to inpatient safety. It is unknown whether there were spillover effects due to COVID-19 into non-COVID-19 care and safety. We sought to evaluate the changes in inpatient Agency for Healthcare Research and Quality patient safety indicators (PSIs) in the United States before and during the first surge of the pandemic among patients admitted without COVID-19.

METHODS

We analyzed trends in PSIs from January 2019 to June 2020 in patients without COVID-19 using data from IBM MarketScan Commercial Database. We included members of employer-sponsored or Medicare supplemental health plans with inpatient, non-COVID-19 admissions. The primary outcomes were risk-adjusted composite and individual PSIs.

RESULTS

We analyzed 1,869,430 patients admitted without COVID-19. Among patients without COVID-19, the composite PSI score was not significantly different when comparing the first surge (Q2 2020) to the prepandemic period (e.g., Q2 2020 score of 2.46 [95% confidence interval {CI}, 2.34-2.58] versus Q1 2020 score of 2.37 [95% CI, 2.27-2.46]; P = 0.22). Individual PSIs for these patients during Q2 2020 were also not significantly different, except in-hospital fall with hip fracture (e.g., Q2 2020 was 3.42 [95% CI, 3.34-3.49] versus Q4 2019 was 2.45 [95% CI, 2.40-2.50]; P = 0.01).

CONCLUSIONS

The first surge of COVID-19 was not associated with worse inpatient safety for patients without COVID-19, highlighting the ability of the healthcare system to respond to the initial surge of the pandemic.

Vulnerability to Decubitus Ulcers and Their Association With Healthcare Utilization: Evidence From Nationwide Inpatient Sample Dataset From 2016 to 2020 in US Hospitals

OBJECTIVE

The aim of the study is to identify vulnerable populations at risk of developing decubitus ulcers and their resultant increase in healthcare utilization to promote the use of early prevention methods.

METHODS

The National Inpatient Sample of the United States was used to identify hospitalized patients across the country who had a length of stay of 5 or more days (N = 9,757,245, weighted N = 48,786,216) from 2016 to 2020. We examined the characteristics of the entire inpatient sample based on the presence of decubitus ulcers, temporal trends, risk of decubitus ulcer development, and its association with healthcare utilization, measured by discounted hospital charges and length of stay. The multivariate survey logistic regression model was used to identify predictors for decubitus ulcer occurrence, and the survey linear regression model was used to measure how decubitus ulcers are associated with healthcare utilization.

RESULTS

Among 48,786,216 nationwide inpatients, 3.9% had decubitus ulcers. The percentage of inpatients with decubitus ulcers who subsequently experienced increased healthcare utilization rose with time. The survey logistic regression results indicate that patients who were Black, older, male, or those reliant on Medicare/Medicaid had a statistically significant increased risk of decubitus ulcers. The survey linear regression results demonstrate that inpatients with decubitus ulcers were associated with increased hospital charges and longer lengths of stay.

CONCLUSIONS

Patients with government insurance, those of minority races and ethnicities, and those treated in the Northeast and West may be more vulnerable to pressure ulcers and subsequent increased healthcare utilization. Implementation of early prevention methods in these populations is necessary to minimize the risk of developing decubitus ulcers, even if upfront costs may be increased. For example, larger hospitals were found to have a lower risk of decubitus ulcer development but an increased cost of preventative care. Hence, it is imperative to explore and use universal, targeted preventative methods to improve patient safety.

Sacral Ulcer Development Risk Among Older Adult Patients in North Texas Rehabilitation Hospitals: Role of Comorbidities, Lifestyle, and Personal Factors

PURPOSE

Sacral ulcers are a serious mortality risk for older adults; thus, we aimed to determine sacral ulcer risk factors among older adults who were recently admitted to rehabilitation hospitals.

METHOD

We conducted a retrospective cohort study using the Texas Inpatient Discharge database (2021). The study included 1,290 rehabilitation hospital patients aged ≥60 years diagnosed with sacral ulcers. The control group comprised 37,626 rehabilitation hospital patients aged ≥60 years without sacral ulcers. Binary logistic regression was used to identify risks for sacral ulcer development adjusting for patient demographics, insurance type, and lifestyle.

RESULTS

Comorbidities of dementia, Parkinson's disease, type 2 diabetes, and cardiac dysrhythmias were significantly associated with increased risk of sacral ulcers. Longer length of stay, Medicare, and Medicare HMO were also associated with sacral ulcers. Demographically, older age, male sex, identifying as African American, and having malnutrition all had a 50% increased prevalence of sacral ulcers.

CONCLUSION

Findings indicate a need to proactively treat chronic comorbidities in vulnerable populations to reduce their possible risk for hospital-acquired infections and excess mortality from sacral ulcers. [Journal of Gerontological Nursing, 50(2), 32-41.].

Racial and ethnic disparities in common inpatient safety outcomes in a children's hospital cohort

BACKGROUND

Emerging evidence has shown racial and ethnic disparities in rates of harm for hospitalised children. Previous work has also demonstrated how highly heterogeneous approaches to collection of race and ethnicity data pose challenges to population-level analyses. This work aims to both create an approach to aggregating safety data from multiple hospitals by race and ethnicity and apply the approach to the examination of potential disparities in high-frequency harm conditions.

METHODS

In this cross-sectional, multicentre study, a cohort of hospitals from the Solutions for Patient Safety network with varying race and ethnicity data collection systems submitted validated central line-associated bloodstream infection (CLABSI) and unplanned extubation (UE) data stratified by patient race and ethnicity categories. Data were submitted using a crosswalk created by the study team that reconciled varying approaches to race and ethnicity data collection by participating hospitals. Harm rates for race and ethnicity categories were compared with reference values reflective of the cohort and broader children's hospital population.

RESULTS

Racial and ethnic disparities were identified in both harm types. Multiracial Hispanic, Combined Hispanic and Native Hawaiian or other Pacific Islander patients had CLABSI rates of 2.6-3.6 SD above reference values. For Black or African American patients, UE rates were 3.2-4.4 SD higher. Rates of both events in White patients were significantly lower than reference values.

CONCLUSIONS

The combination of harm data across hospitals with varying race and ethnicity collection systems was accomplished through iterative development of a race and ethnicity category framework. We identified racial and ethnic disparities in CLABSI and UE that can be addressed in future improvement work by identifying and modifying care delivery factors that contribute to safety disparities.

Investigating Racial and Ethnic Disparities in Maternal Care at the System Level Using Patient Safety Incident Reports

BACKGROUND

Maternal mortality in the United States is high, and women and birthing people of color experience higher rates of mortality and severe maternal morbidity (SMM). More than half of maternal deaths and cases of SMM are considered preventable. The research presented here investigated systems issues contributing to adverse outcomes and racial/ethnic disparities in maternal care using patient safety incident reports.

METHODS

The authors reviewed incidents reported in the labor and delivery unit (L&D) and the antepartum and postpartum unit (A&P) of a large academic hospital in 2019 and 2020. Deliveries associated with a reported incident were described by race/ethnicity, age group, method of delivery, and several other process variables. Differences across racial/ethnic group were statistically evaluated.

RESULTS

Almost two thirds (64.8%) of the 528 reports analyzed were reported in L&D, and 35.2% were reported in A&P. Non-Hispanic white (NHW) patients accounted for 43.9% of reported incidents, non-Hispanic Black (NHB) patients accounted for 43.2%, Hispanic patients accounted for 8.9%, and patients categorized as "other" accounted for 4.0%. NHB patients were disproportionally represented in the incident reports, as they accounted for only 36.5% of the underlying birthing population. The odds ratio (OR) demonstrated a higher risk of a reported adverse incident for NHB patients; however, adjustment for cesarean section attenuated the association (OR 1.25, 95% confidence interval 1.01-1.54).

CONCLUSION

Greater integration of patient safety and health equity efforts in hospitals are needed to promptly identify and alleviate racial and ethnic disparities in maternal health outcomes. Although additional systems analysis is necessary, the authors offer recommendations to support safer, more equitable maternal care.

Racial-Ethnic, Education, and Socioeconomic Differences in the Treatment of Head and Neck Melanoma in situ: A Surveillance Epidemiology and End Results Population-Based Analysis

BACKGROUND

Incidence and treatment disparities for cutaneous melanomas have been documented among racial and sociodemographic minorities. However, the association between treatment types, race, and socioeconomic status remains unknown.

OBJECTIVE

To characterize treatment differences for head and neck melanoma in situ (MIS) and lentigo maligna (LM) based on race and sociodemographic variables.

MATERIALS AND METHODS

A population-based retrospective cohort study of the Surveillance Epidemiology and End Results database (1998-2016) was performed. Univariate and multivariate logistic regression modeling evaluated the association of race and US census-reported sociodemographic factors with Mohs micrographic surgery (MMS) utilization.

RESULTS

A total of 76,328 adult patients with head and neck MIS/LM were included. MMS accounted for 11.8% of total cases, with increased utilization observed since 1998-2002. Compared with areas with greater percentages of individuals completing high school (first quartile), patients living in the second (Odds ratio [OR] 0.71; 95% confidence interval [CI] 0.64-0.80; p < .001), third (OR 0.74; 95% CI 0.63-0.86; p < .001), and fourth quartiles (OR 0.44; 95% CI 0.35-0.55; p < .001) were less likely to undergo MMS for their MIS/LM.

CONCLUSION

Educational efforts and awareness can bridge the knowledge gaps of appropriate treatment in patients with head and neck MIS/LM.

The impacts of the 340B Program on health care quality for low-income patients

OBJECTIVE

To assess the effects of hospital 340B eligibility on quality of inpatient care provided to Medicaid and uninsured patients and for all patients.

DATA

Agency for Health Care Research and Quality's Healthcare Cost and Utilization Project State Inpatient Data, Hospital Cost Reporting Information System Data, Office of Pharmacy Affairs Information System Data, and American Hospital Association Annual Survey.

DESIGN

Regression discontinuity design comparing hospitals just above the DSH percentage program eligibility threshold to those just below. Quality measures include all-cause mortality and 30-day readmission rates as well as condition-specific measures.

DATA EXTRACTION

Inpatient data from general acute care hospitals from 2008 to 2014 in 15 states. Data linked on hospital 340B eligibility and participation.

PRINCIPAL FINDINGS

We did not find discontinuities in inpatient care quality across the Program eligibility threshold for Medicaid and uninsured patients; specifically, on all-cause mortality (beta = -0.04 percentage points, 95% CI: -0.16, 0.08), 30-day readmission rates (beta = -0.16 percentage points, 95% CI: -0.81, 0.5), or other measures. Among insured and non-Medicaid patients, we found discontinuities for acute myocardial infarction (beta = -0.87 percentage points, 95% CI: -1.55, -0.2) and postoperative sepsis (beta = -0.15 percentage points, 95% CI: -0.23, -0.07) mortality.

CONCLUSIONS

340B Program participation has not demonstrated improved quality of inpatient care among Medicaid or uninsured patients.

Association Between Race and Opioid-Induced Respiratory Depression: An International Post Hoc Analysis of the Prediction of Opioid-induced Respiratory Depression In Patients Monitored by Capnography Trial

BACKGROUND

Opioid-induced respiratory depression (OIRD) is common on the medical and surgical wards and is associated with increased morbidity and health care costs. While previous studies have investigated risk factors for OIRD, the role of race remains unclear. We aim to investigate the association between race and OIRD occurrence on the medical/surgical ward.

METHODS

This is a post hoc analysis of the PRediction of Opioid-induced respiratory Depression In patients monitored by capnoGraphY (PRODIGY) trial; a prospective multinational observational blinded study of 1335 general ward patients who received parenteral opioids and underwent blinded capnography and oximetry monitoring to identify OIRD episodes. For this study, demographic and perioperative data, including race and comorbidities, were analyzed and assessed for potential associations with OIRD. Univariable χ 2 and Mann-Whitney U tests were used. Stepwise selection of all baseline and demographic characteristics was used in the multivariable logistic regression analysis.

RESULTS

A total of 1253 patients had sufficient racial data (317 Asian, 158 Black, 736 White, and 42 other races) for inclusion. The incidence of OIRD was 60% in Asians (N = 190/317), 25% in Blacks (N = 40/158), 43% in Whites (N = 316/736), and 45% (N = 19/42) in other races. Baseline characteristics varied significantly: Asians were older, more opioid naïve, and had higher opioid requirements, while Blacks had higher incidences of heart failure, obesity, and smoking. Stepwise multivariable logistic regression revealed that Asians had increased risk of OIRD compared to Blacks (odds ratio [OR], 2.49; 95% confidence interval [CI], 1.54-4.04; P = .0002) and Whites (OR, 1.38; 95% CI, 1.01-1.87; P = .0432). Whites had a higher risk of OIRD compared to Blacks (OR, 1.81; 95% CI, 1.18-2.78; P = .0067). The model's area under the curve was 0.760 (95% CI, 0.733-0.787), with a Hosmer-Lemeshow goodness-of-fit test P value of .23.

CONCLUSIONS

This post hoc analysis of PRODIGY found a novel association between Asian race and increased OIRD incidence. Further study is required to elucidate its underlying mechanisms and develop targeted care pathways to reduce OIRD in susceptible populations.

Urbanization level and medical adverse event deaths among US hospital inpatients over the period 2010-2019

Urban-rural disparity constitutes a major source of health inequity also in high-income countries. This study aimed to compare the distribution of deaths due to medical adverse events across urbanization levels among US hospital inpatients. An open dataset from the National Center for Health Statistics (NCHS) comprised all certified deaths of US inpatients over the period 2010-2019. The urbanization level of each decedent was determined in accordance with the 2013 NCHS Urban-Rural Classification Scheme (large metropolitan, medium or small metropolitan, or nonmetropolitan). The outcome was death due to a medical adverse event (ICD-10 codes Y40-Y84) proportional to total inpatient deaths. The data were standardized for sex, ethnicity, and age, and analyzed with linear mixed models. Of the 8 071 907 certified inpatient deaths during the study period, 21 444 (0.27%) were primarily attributed to medical adverse events. Decedents who resided in medium or small metropolitans and nonmetropolitans had approximately 0.5 units higher rate of adverse events per 1000 deaths (corresponding to a relative differece of 20%) when compared to decedents who resided in large metropolitans. Moreover, the urban-rural gradients showed an increasing trend towards the end of the study period, as the difference was found to increase at a rate of approximately 0.1 units per year (3%). There were no statistically significant differences between decedents from medium or small metropolitans and nonmetropolitans. The present findings highlight gradients in adverse event deaths between geographic areas, providing a basis for targeted preventive efforts. Future studies are invited to elucidate the underlying phenomena.

Educational Gradients Behind Medical Adverse Event Deaths in the US-A Time Series Analysis of Nationwide Mortality Data 2010-2019

Background

Deaths due to medical care appear common. Individuals with low socioeconomic position seem to be at a higher risk for sustaining a medical adverse event and premature death. This time series analysis aimed to assess educational gradients behind adverse event deaths in the US over the period 2010-2019.

Methods

Publicly available mortality and census data were retrieved from official sources. The data included age, sex, educational attainment, and underlying cause of death. Adverse event deaths were identified by ICD-10 codes Y40-Y84 and Y88. Four education categories were created in accordance with the International Standard Classification of Education 2011 coding scheme [No high school or General Educational Development (GED); High school or GED; Some college; Bachelor's degeree or higher]. To capture also highly educated individuals, the analysis was delimited to ≥30-year-olds. Age-adjusted mortality rates (AMRs) were compared between education categories by means of mortality plots and linear mixed models.

Results

A total of 25,897,334 certified deaths occurred among ≥30-year-olds during the study period. The underlying cause of death was an adverse event in a rarity of cases (0.12%, n = 31,997). Individuals with Bachelor's degeree or higher had the lowest adverse event AMRs (6.1-12.4 per million per year), followed by the Some college category (9.6-18.6), the High school or GED category (17.1-35.4), and finally the No high school or GED category (20.0-36.0). AMRs showed a gradual increase as education level decreased (p ≤ 0.001 against those with Bachelor's degeree or higher). Moreover, the temporal increase in adverse event AMRs was more pronounced among individuals with low than high education; the contrasts between categories were greatest toward the end of the study period.

Conclusion

The findings of this study suggest that the widening socioeconomic gradients in mortality extend also to fatal adverse events. Future studies should aim to analyze whether access to care, severity of the condition at presentation, quality of care, and social determinants of health may drive the gradients.

A retrospective study of the effects of minimally invasive colorectal surgery on Patient Safety Indicators across a five-hospital system

BACKGROUND

The Agency for Healthcare Research and Quality uses Patient Safety Indicators (PSI) to gauge quality of care and patient safety in hospitals. PSI 90 is a weighted combination of several PSIs that primarily comprises perioperative events. This score can affect reimbursement through Medicare and hospital quality ratings. Minimally invasive surgery (MIS) has been shown to decrease adverse events and outcomes. We sought to evaluate individual PSI and PSI 90 outcomes of minimally invasive versus open colorectal surgeries using a large medical database from 5 hospitals.

METHODS

A health system administrative database including all inpatients from 5 acute care hospitals was queried based on ICD 10 PC codes for colon and rectal surgery procedures performed between January 2, 2018 and December 31, 2019. Surgeries were labeled as MIS (laparoscopic) or open colorectal resection surgery. Patient demographics, health information, and case characteristics were analyzed with respect to surgical approach and PSI events. Statistical relationships between surgical approach and PSI were investigated using univariate methods and multivariate logarithmic regression analysis. PSIs of interest were PSI 8, PSI 9 PSI 11, PSI 12, and PSI 13.

RESULTS

There were 1382 operations identified, with 861 (62%) being open and 521 (38%) being minimally invasive. Logistic modeling showed no significant difference between the 2 groups for PSI 3, 6, or 8 through 15.

CONCLUSION

Understanding PSI 90 and its components is important to enhance perioperative patient care and optimize reimbursement rates. We showed that MIS, despite providing known clinical benefits, may not affect scores in the PSI 90. Surgical approach may have little effect on PSIs, and other patient and system components that are more important to these outcome measures should be pursued.

Medical adverse events in the US 2018 mortality data

Although medical error has been estimated as a major cause of death in the US, the capability of current diagnostic coding systems and standard death certificates to capture these events has been criticized. This register-based study aimed to scrutinize medical adverse event deaths (i.e., deaths due to adverse events occurring within the healthcare practice, avoidable or unavoidable, including late complications and sequelae of such events) in the US National Vital Statistics 2018 mortality dataset. Individual-level data on underlying and multiple causes of death according to the tenth revision of the International Classification of Diseases (ICD-10) coding system were extracted together with the decedents’ sex, age, ethnicity and education level. Adverse event deaths were identified by ICD-10 codes Y40–Y84 and Y88. The dataset comprised a total of 2 846 305 certified deaths. An adverse event ICD-10 code was used as the underlying cause of death in 0.16% (n = 4620) of the cases, and appeared on the list of multiple causes in 1.13% (n = 32 226) of the cases. Odds for adverse event death were higher among younger than elderly individuals, among those of black than white ethnicity, and among individuals with higher education level. The present data indirectly support previous evidence that a large number of adverse events remain underrecognized or misclassified. Future analyses are needed to reveal the root causes behind underreporting and to analyze whether it occurs at random or in a systematic way.

Ethnic differences in thromboprophylaxis for COVID-19 patients: should they be considered?

Thromboembolic events contribute to morbidity and mortality in coronavirus disease 2019 (COVID-19). As a result, thromboprophylaxis using low-molecular-weight heparin (LMWH) is universally recommended for hospitalized patients based on multiple guidelines. However, ethnic differences with respect to thrombogenicity have been reported and the incidence of thromboembolic events is considered to be lower in the Asian population. Despite the importance of thromboprophylaxis, bleeding is also a side effect that should be considered. We examine the data relating to potential ethnic differences in thrombosis and bleeding in COVID-19. Although sufficient data is not yet available, current evidence does not oppose routine anticoagulant use and thromboprophylaxis using a standard dose of LMWH for admitted patients regardless of ethnicity based on our review.

Unintended Consequences of Health Care Reform: Impact of Changes in Payor Mix on Patient Safety Indicators

OBJECTIVE

To evaluate the impact of the Affordable Care Act's Medicaid expansion on patient safety metrics at the hospital level by expansion status, across varying levels of safety-net burden, and over time.

SUMMARY BACKGROUND DATA

Medicaid expansion has raised concerns over the influx of additional medically and socially complex populations on hospital systems. Whether increases in Medicaid and uninsured payor mix impact hospital performance metrics remains largely unknown. We sought to evaluate the effects of expansion on Centers for Medicare and Medicaid Services-endorsed Patient Safety Indicators (PSI-90).

METHODS

Three hundred fifty-eight hospitals were identified using State Inpatient Databases (2012-2015) from 3 expansions (KY, MD, NJ) and 2 nonexpansion (FL, NC) states. PSI-90 scores were calculated using Agency for Healthcare Research and Quality modules. Hospital Medicaid and uninsured patients were categorized into safety-net burden (SNB) quartiles. Hospital-level, multivariate linear regression was performed to measure the effects of expansion and change in SNB on PSI-90.

RESULTS

PSI-90 decreased (safety improved) over time across all hospitals (-5.2%), with comparable reductions in expansion versus nonexpansion states (-5.9% vs -4.7%, respectively; P = 0.441) and across high SNB hospitals within expansion versus nonexpansion states (-3.9% vs -5.2%, P = 0.639). Pre-ACA SNB quartile did not predict changes in PSI-90 post-ACA. However, when hospitals increased their SNB by 5%, they incurred significantly more safety events in expansion relative to nonexpansion states (+1.87% vs -14.0%, P = 0.013).

CONCLUSIONS

Despite overall improvement in patient safety, increased SNB was associated with increased safety events in expansion states. Accordingly, Centers for Medicare and Medicaid Services measures may unintentionally penalize hospitals with increased SNB following Medicaid expansion.

The safety of health care for ethnic minority patients: a systematic review

INTRODUCTION

Evidence to date indicates that patients from ethnic minority backgrounds may experience disparity in the quality and safety of health care they receive due to a range of socio-cultural factors. Although heightened risk of patient safety events is of key concern, there is a dearth of evidence regarding the nature and rate of patient safety events occurring amongst ethnic minority consumers, which is critical for the development of relevant intervention approaches to enhance the safety of their care.

OBJECTIVES

To establish how ethnic minority populations are conceptualised in the international literature, and the implications of this in shaping of our findings; the evidence of patient safety events arising among ethnic minority healthcare consumers internationally; and the individual, service and system factors that contribute to unsafe care.

METHOD

A systematic review of five databases (MEDLINE, PUBMED, PsycINFO, EMBASE and CINAHL) were undertaken using subject headings (MeSH) and keywords to identify studies relevant to our objectives. Inclusion criteria were applied independently by two researchers. A narrative synthesis was undertaken due to heterogeneity of the study designs of included studies followed by a study appraisal process.

RESULTS

Forty-five studies were included in this review. Findings indicate that: (1) those from ethnic minority backgrounds were conceptualised variably; (2) people from ethnic minority backgrounds had higher rates of hospital acquired infections, complications, adverse drug events and dosing errors when compared to the wider population; and (3) factors including language proficiency, beliefs about illness and treatment, formal and informal interpreter use, consumer engagement, and interactions with health professionals contributed to increased risk of safety events amongst these populations.

CONCLUSION

Ethnic minority consumers may experience inequity in the safety of care and be at higher risk of patient safety events. Health services and systems must consider the individual, inter- and intra-ethnic variations in the nature of safety events to understand the where and how to invest resource to enhance equity in the safety of care.

REVIEW REGISTRATION

This systematic review is registered with Research Registry: reviewregistry761.

Association Between Federal Value-Based Incentive Programs and Health Care-Associated Infection Rates in Safety-Net and Non-Safety-Net Hospitals

IMPORTANCE

In the US, federal value-based incentive programs are more likely to penalize safety-net institutions than non-safety-net institutions. Whether these programs differentially change the rates of targeted health care-associated infections in safety-net vs non-safety-net hospitals is unknown.

OBJECTIVE

To assess the association of Hospital-Acquired Condition Reduction Program (HACRP) and Hospital Value-Based Purchasing (HVBP) implementation with changes in rates of targeted health care-associated infections and disparities in rates among safety-net and non-safety-net hospitals.

DESIGN, SETTING, AND PARTICIPANTS

This interrupted time series included all US acute care hospitals enrolled in the Preventing Avoidable Infectious Complications by Adjusting Payment study that participated in mandatory reporting to the National Healthcare Safety Network from January 1, 2013, through June 30, 2018. Hospital characteristics were obtained from the 2015 American Hospital Association annual survey. Penalty statuses for 2015 to 2018 were obtained from Hospital Compare. Data were analyzed between July 9, 2018, and October 1, 2019.

EXPOSURES

HACRP and HVBP implementation in fiscal year 2015 or 2016.

MAIN OUTCOMES AND MEASURES

The primary outcomes were rates of 4 health care-associated infections: central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), surgical site infection (SSI) after colon surgical procedures, and SSI after abdominal hysterectomy procedures. Regression models were fit using generalized estimating equations to assess the association of HACRP and HVBP implementation with health care-associated infection rates and disparities in infection rates.

RESULTS

Of the 618 acute care hospitals included in this study, 473 (76.5%) were non-safety net and 145 (23.5%) were considered safety net. In these hospitals, HACRP and HVBP implementation was not associated with improvements in level or trend for any health care-associated infection examined (eg, CAUTI in safety-net hospitals: incidence rate ratio [IRR] for level change, 0.98 [95% CI, 0.79-1.23; P = .89]; IRR for change in slope, 1.00 [95% CI, 0.97-1.03; P = .80]). Before program implementation, infection rates were statistically significantly higher for safety-net than for non-safety-net hospitals for CLABSI (IRR, 1.23; 95% CI, 1.07-1.42; P = .004), CAUTI (IRR, 1.38; 95% CI, 1.16-1.64; P < .001), and SSI after colon surgical procedure (odds ratio [OR], 1.26; 95% CI, 1.06-1.50; P = .009). The disparity persisted over time when comparing the last year of the study with the first year (CLABSI: ratio of ratios [ROR], 0.93 [95% CI, 0.77-1.13; P = .48]; CAUTI: ROR, 0.90 [95% CI, 0.73-1.10; P = .31]; SSI after colon surgical procedures: ROR, 0.96 [95% CI, 0.78-1.20; P = .75]). Rates of SSI after abdominal hysterectomy procedure were similar in safety-net and non-safety-net hospitals before implementation (OR, 1.13; 95% CI, 0.91-1.40; P = .27) but higher after implementation (OR, 1.43; 95% CI, 1.11-1.83; P = .006), although this change was not significant (ROR, 1.20; 95% CI, 0.91-1.59; P = .20).

CONCLUSIONS AND RELEVANCE

This study found that HACRP and HVBP implementation was not associated with any improvements in targeted health care-associated infections among safety-net or non-safety-net hospitals or with changes in disparities in infection rates. Given the persistent health care-associated infection rate disparities, these programs appear to function as a disproportionate penalty system for safety-net hospitals that offer no measurable benefits for patients.

Racial differences in time to treatment for melanoma

Background

Longer time from diagnosis to definitive surgery (TTDS) is associated with increased melanoma-specific mortality. Although black patients present with later-stage melanoma and have worse survival than non-Hispanic white patients, the association between race and TTDS is unknown.

Objective

To investigate racial differences in time to melanoma treatment.

Methods

Retrospective review of the National Cancer Database (2004-2015). Multivariable logistic regression was used to evaluate the association of race with TTDS, controlling for sociodemographic/disease characteristics.

Results

Of the 233,982 patients with melanoma identified, 1221 (0.52%) were black. Black patients had longer TTDS for stage I to III melanoma (P < .001) and time to immunotherapy (P = .01), but not for TTDS for stage IV melanoma or time to chemotherapy (P > .05 for both). When sociodemographic characteristics were controlled for, black patients had over twice the odds of having a TTDS between 41 and 60 days, over 3 times the odds of having a TTDS between 61 and 90 days, and over 5 times the odds of having a TTDS over 90 days. Racial differences in TTDS persisted within each insurance type. Patients with Medicaid had the longest TTDS (mean, 60.4 days), and those with private insurance had the shortest TTDS (mean, 44.6 days; P < .001 for both).

Conclusions

Targeted approaches to improve TTDS for black patients are integral in reducing racial disparities in melanoma outcomes.

Patient safety in marginalised groups: a narrative scoping review

Background

Marginalised groups (‘populations outside of mainstream society’) experience severe health inequities, as well as increased risk of experiencing patient safety incidents. To date however no review exists to identify, map and analyse the literature in this area in order to understand 1) which marginalised groups have been studied in terms of patient safety research, 2) what the particular patient safety issues are for such groups and 3) what contributes to or is associated with these safety issues arising.

Methods

Scoping review. Systematic searches were performed across six electronic databases in September 2019. The time frame for searches of the respective databases was from the year 2000 until present day.

Results

The searches yielded 3346 articles, and 67 articles were included. Patient safety issues were identified for fourteen different marginalised patient groups across all studies, with 69% (n = 46) of the studies focused on four patient groups: ethnic minority groups, frail elderly populations, care home residents and low socio-economic status. Twelve separate patient safety issues were classified. Just over half of the studies focused on three issues represented in the patient safety literature, and in order of frequency were: medication safety, adverse outcomes and near misses. In total, 157 individual contributing or associated factors were identified and mapped to one of seven different factor types from the Framework of Contributory Factors Influencing Clinical Practice within the London Protocol. Patient safety issues were mostly multifactorial in origin including patient factors, health provider factors and health care system factors.

Conclusions

This review highlights that marginalised patient groups are vulnerable to experiencing a variety patient safety issues and points to a number of gaps. The findings indicate the need for further research to understand the intersectional nature of marginalisation and the multi-dimensional nature of patient safety issues, for groups that have been under-researched, including those with mental health problems, communication and cognitive impairments. Such understanding provides a basis for working collaboratively to co-design training, services and/or interventions designed to remove or at the very least minimise these increased risks.

Trial registration

Not applicable for a scoping review.

Race Differences in Reported Harmful Patient Safety Events in Healthcare System High Reliability Organizations

OBJECTIVES

The aim of the study was to determine whether race differences exist in voluntarily reported harmful patient safety events in a large 10 hospital healthcare system on a high reliability organization journey.

METHODS

From July 1, 2015, to June 30, 2017, employees in a healthcare system based in Washington, District of Columbia, and Maryland voluntarily reported harmful patient safety events by type using a Patient Safety Event Management System. Inpatients, outpatients, and observation patients were identified as "black," "white," or "other" (N = 5038). Using retrospective analysis and χ goodness of fit, comparisons of race proportions were conducted to determine differences at the health system level, by hospital, by event type, and by severity.

RESULTS

Significant race differences existed: (1) overall with higher proportions of whites and lower proportions of other in a Patient Safety Event Management System; (2) by type across races; (3) in six hospitals across races; and (4) by type and by hospital for blacks and whites. All differences were significant at P < 0.05.

CONCLUSIONS

Race differences in harmful events exist in voluntary reporting systems by type and by hospital setting. Healthcare organizations, particularly healthcare high reliability organizations, can use these findings to help identify areas of further study and investigation. Further study and investigation should include efforts to understand the root cause of the differences found in this study, including the role of reporting bias.

Racial Disparities in the Incidence of Pulmonary Embolism after Colectomy

Disparities in the incidence of pulmonary embolism (PE) based on racial and socioeconomic factors remain ill-defined. The present study evaluated the impact of race and hospital characteristics on rates of PE for all adult colectomy patients in the 2005 to 2014 Nationwide Inpatient Sample. Hospitals were designated as high-burden hospitals (HBHs) or low-burden hospitals of underinsured payers. Chi-squared tests of trend and multivariable regression adjusting for patient and hospital characteristics were performed. Of the 2,737,977 adult patients who underwent colectomy in the study period, 79 per cent were White, 10 per cent Black, and 7 per cent Hispanic. The annual rate of PE increased from 0.6 per cent in 2005 to 0.95 per cent in 2014 ( P < 0.0001). Black patients had significantly higher incidence of PE than Whites (1.5% vs 0.9%, P < 0.001) and Hispanics (1.5% vs 0.8%, P < 0.001). Colectomy at HBHs was also associated with significantly higher rates of PE (1% vs 0.86%, P < 0.001). After adjusting for baseline differences, colectomy at HBHs (odds ratio 1.14, 95% confidence interval 1.02–1.27, P = 0.02) and Black race (odds ratio 1.4, 95% confidence interval 1.26–1.66, P < 0.001) were independent predictors of PE. In this national study of colectomy patients, Black patients experienced a disproportionate burden of postoperative PE. Further investigation into the causes and prevention of PE in vulnerable populations may identify targets for surgical quality improvement.