US Hospital Service Availability and New 340B Program Participation.

Importance: The US 340B Drug Pricing Program enables eligible hospitals to receive substantial discounts on outpatient drugs to improve hospitals' financial sustainability and maintain access to care for patients who have low income and/or are uninsured. However, it is unclear whether hospitals use program savings to subsidize access as intended. Objective: To evaluate whether the 340B program is associated with improvements in access to hospital-based services and to test whether the association varies by hospital ownership. Design, Setting, and Participants: Difference-in-differences and cohort analysis from 2010 to 2019. Never and newly participating 340B general, acute, nonfederal hospitals in the US using data from the American Hospital Association's Annual Survey of Hospitals merged with hospital and market characteristics. Data were analyzed from January 1, 2023, to January 31, 2024. Exposures: New enrollment in 340B between 2012 and 2018. Main Outcomes and Measures: Total number of unprofitable service lines, ie, substance use, psychiatric (inpatient and outpatient), burn clinic, and obstetrics services; and profitable services, ie, cardiac surgery and orthopedic, oncologic, neurologic, and neonatal intensive services. Results: The study sample comprised a total of 2152 hospitals, 1074 newly participating and 1078 not participating in the 340B program. Participating hospitals were more likely than nonparticipating hospitals to be critical access and teaching hospitals, have higher Medicaid shares, and be located in rural areas and in Medicaid expansion states. At public hospitals, participation in the 340B program was associated with a significant increase in total unprofitable services (0.21; 95% CI, 0.04 to 0.38; P = .02) and marginal increases in substance use (5.4 percentage points [pp]; 95% CI, -0.8 pp to 11.6 pp; P = .09) and inpatient psychiatric (6.5 pp; 95% CI, -0.7 pp to 13.7 pp; P = .09) services. Among nonprofit hospitals, there was no significant association between 340B and service offerings (profitable and unprofitable) except for an increase in oncologic services (2.5 pp; 95% CI, 0.0 pp to 5.0 pp; P = .05). Conclusions and Relevance: The finding of the cohort study indicate that participation in the 340B program was associated with an increase in unprofitable services among newly participating public hospitals. Nonprofit hospitals were largely unaffected. These findings suggest that public hospitals responded to 340B savings by improving patient access, whereas nonprofits did not. This heterogeneous response should be considered when evaluating the eligibility criteria for the 340B program and how it affects social welfare.

Social Determinants of Health and Preoperative Care.

Preoperative care exists as part of perioperative continuum during which anesthesiologists and surgeons optimize patients for surgery. These multispecialty efforts are important, particularly for patients with complex medical histories and those requiring major surgery. Preoperative care improves planning and determines the clinical pathway and discharge disposition. The role of nonmedical social factors in the preoperative planning is not well described in anesthesiology. Research to improve outcomes based on social factors is not well described for anesthesiologists but could be instrumental in decreasing disparities and advancing health equity in surgical patients.

Patient Navigation: Addressing Social Challenges in Dialysis Patients.

Members of racial and ethnic minority groups make up nearly 50% of US patients with end-stage kidney disease and face a disproportionate burden of socioeconomic challenges (ie, low income, job insecurity, low educational attainment, housing instability, and communication challenges) compared with non-Hispanic whites. Patients with end-stage kidney disease who face social challenges often have poor patient-centered and clinical outcomes. These challenges may have a negative impact on quality-of-care performance measures for dialysis facilities caring for primarily minority and low-income patients. One path toward improving outcomes for this group is to develop culturally tailored interventions that provide individualized support, potentially improving patient-centered, clinical, and health system outcomes by addressing social challenges. One such approach is using community-based culturally and linguistically concordant patient navigators, who can serve as a bridge between the patient and the health care system. Evidence points to the effectiveness of patient navigators in the provision of cancer care and, to a lesser extent, caring for people with chronic kidney disease and those who have undergone kidney transplantation. However, little is known about the effectiveness of patient navigators in the care of patients with kidney failure receiving dialysis, who experience a number of remediable social challenges.

Improving Hospital Reporting of Patient Race and Ethnicity--Approaches to Data Auditing.

OBJECTIVE: To investigate new metrics to improve the reporting of patient race and ethnicity (R/E) by hospitals. DATA SOURCES: California Patient Discharge Database (PDD) and birth registry, 2008-2009, Healthcare and Cost Utilization Project's State Inpatient Database, 2008-2011, cancer registry 2000-2008, and 2010 US Census Summary File 2. STUDY DESIGN: We examined agreement between hospital reported R/E versus self-report among mothers delivering babies and a cancer cohort in California. Metrics were created to measure root mean squared differences (RMSD) by hospital between reported R/E distribution and R/E estimates using R/E distribution within each patient's zip code of residence. RMSD comparisons were made to corresponding "gold standard" facility-level measures within the maternal cohort for California and six comparison states. DATA COLLECTION: Maternal birth hospitalization (linked to the state birth registry) and cancer cohort records linked to preceding and subsequent hospitalizations. Hospital discharges were linked to the corresponding Census zip code tabulation area using patient zip code. PRINCIPAL FINDINGS: Overall agreement between the PDD and the gold standard for the maternal cohort was 86 percent for the combined R/E measure and 71 percent for race alone. The RMSD measure is modestly correlated with the summary level gold standard measure for R/E (r = 0.44). The RMSD metric revealed general improvement in data agreement and completeness across states. "Other" and "unknown" categories were inconsistently applied within inpatient databases. CONCLUSIONS: Comparison between reported R/E and R/E estimates using zip code level data may be a reasonable first approach to evaluate and track hospital R/E reporting. Further work should focus on using more granular geocoded data for estimates and tracking data to improve hospital collection of R/E data.

Disparities in health care are driven by where minority patients seek care: examination of the hospital quality alliance measures.

BACKGROUND: Racial/ethnic disparities in health care are well documented, but less is known about whether disparities occur within or between hospitals for specific inpatient processes of care. We assessed racial/ethnic disparities using the Hospital Quality Alliance Inpatient Quality of Care Indicators. METHODS: We performed an observational study using patient-level data for acute myocardial infarction (5 care measures), congestive heart failure (2 measures), community-acquired pneumonia (2 measures), and patient counseling (4 measures). Data were obtained from 123 hospitals reporting to the University HealthSystem Consortium from the third quarter of 2002 to the first quarter of 2005. A total of 320,970 patients 18 years or older were eligible for at least 1 of the 13 measures. RESULTS: There were consistent unadjusted differences between minority and nonminority patients in the quality of care across 8 of 13 quality measures (from 4.63 and 4.55 percentage points for angiotensin-converting enzyme inhibitors for acute myocardial infarction and congestive heart failure [P<.01] to 14.58 percentage points for smoking cessation counseling for pneumonia [P=.02]). Disparities were most pronounced for counseling measures. In multivariate models adjusted for individual patient characteristics and hospital effect, the magnitude of the disparities decreased substantially, yet remained significant for 3 of the 4 counseling measures; acute myocardial infarction (unadjusted, 9.00 [P<.001]; adjusted, 3.82 [P<.01]), congestive heart failure (unadjusted, 8.45 [P=.02]; adjusted, 3.54 [P=.02]), and community-acquired pneumonia (unadjusted, 14.58 [P=.02]; adjusted, 4.96 [P=.01]). CONCLUSIONS: Disparities in clinical process of care measures are largely the result of differences in where minority and nonminority patients seek care. However, disparities in services requiring counseling exist within hospitals after controlling for site of care. Policies to reduce disparities should consider the underlying reasons for the disparities.

The value of collaboration in eliminating barriers to preventive care and screening among underserved populations.

Collaboration among a community's institutions and its residents can help increase the use of appropriate screening, preventive, and primary care services. To improve the health of the community, institutions must reach out to their colleagues and other stakeholders. They must not only deal with the structure of the healthcare delivery system but also be responsive to the characteristics of the local population groups they are trying to serve. Over the last several years, a group of 25 community-based partnerships across the country have used a multifaceted model to guide their work in making their communities healthier. Through a wide variety of initiatives tailored to local needs, they have not only improved people's health but also provided a series of benefits to the partnering organizations and the community as a whole.