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Background: Most states have recently passed laws requiring prescribers to use prescription drug monitoring programs (PDMPs) before prescribing opioid medications. The impact of these mandates on discontinuing chronic opioid therapy among Veterans managed in the Veterans Health Administration (VA) is unknown. We assess the association between the earliest of these laws and discontinuation of chronic opioid therapy in Veterans receiving VA health care., Methods: We conducted a comparative interrupted time-series study in the 5 states mandating PDMP use before August 2013 (Ohio, West Virginia, Kentucky, New Mexico, and Tennessee), adjusting for trends in the 17 neighboring control states without such mandates. We modeled 25 months of prescribing for each state centered on the month the mandate became effective. We included Veterans prescribed long-term outpatient opioid therapy (305 of the preceding 365 d). Our outcomes were discontinuation of chronic opioid therapy (primary outcome) and the average daily quantity of opioids per Veteran over the following 6 months (secondary outcome)., Results: We included 250 monthly cohorts with 225,665 unique Veterans and 3.4 million Veteran-months. Baseline discontinuation rates before the PDMP mandates were 0.4%-2.7% per month. Kentucky saw a discontinuation increase of 1 absolute percentage point following its PDMP mandate which decreased over time. The other 4 states had no significant association between their mandates and change in opioid discontinuation. There was no evidence of decreasing opioid quantities following PDMP mandates., Conclusion: We did not find consistent evidence that state laws mandating provider PDMP use were associated with the discontinuation of chronic opioid therapy within the VA for the time period studied., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Prior studies have identified lower mortality in Black Veterans compared with White Veterans after hospitalization for common medical conditions, but these studies adjusted for comorbid conditions identified in administrative claims., Objectives: The objectives of this study were to compare mortality for non-Hispanic White (hereafter, "White"), non-Hispanic Black (hereafter, "Black"), and Hispanic Veterans hospitalized for heart failure (HF) and pneumonia and determine whether observed mortality differences varied according to whether claims-based comorbid conditions and/or clinical variables were included in risk-adjustment models., Research Design: This was an observational study., Subjects: The study cohort included 143,520 admissions for HF and 127,782 admissions for pneumonia for Veterans hospitalized in 132 Veterans Health Administration (VA) Medical Centers between January 2009 and September 2015., Measures: The primary independent variable was racial/ethnic group (ie, Black, Hispanic, and non-Hispanic White), and the outcome was all-cause mortality 30 days following admission. To compare mortality by race/ethnicity, we used logistic regression models that included different combinations of claims-based, clinical, and sociodemographic variables. For each model, we estimated the average marginal effect (AME) for Black and Hispanic Veterans relative to White Veterans., Results: Among the 143,520 (127,782) hospitalizations for HF (pneumonia), the average patient age was 71.6 (70.9) years and 98.4% (97.1%) were male. The unadjusted 30-day mortality rates for HF (pneumonia) were 7.2% (11.0%) for White, 4.1% (10.4%) for Black and 8.4% (16.9%) for Hispanic Veterans. Relative to White Veterans, when only claims-based variables were used for risk adjustment, the AME (95% confidence interval) for the HF [pneumonia] cohort was -2.17 (-2.45, -1.89) [0.08 (-0.41, 0.58)] for Black Veterans and 1.32 (0.49, 2.15) [4.51 (3.65, 5.38)] for Hispanic Veterans. When clinical variables were incorporated in addition to claims-based ones, the AME, relative to White Veterans, for the HF [pneumonia] cohort was -1.57 (-1.88, -1.27) [-0.83 (-1.31, -0.36)] for Black Veterans and 1.50 (0.71, 2.30) [3.30 (2.49, 4.11)] for Hispanic Veterans., Conclusions: Compared with White Veterans, Black Veterans had lower mortality, and Hispanic Veterans had higher mortality for HF and pneumonia. The inclusion of clinical variables into risk-adjustment models impacted the magnitude of racial/ethnic differences in mortality following hospitalization. Future studies examining racial/ethnic disparities should consider including clinical variables for risk adjustment., Competing Interests: V.M. reports personal fees from naviHealth, outside the submitted work. R.G. received grants from Johnson & Johnson/Janssen expert witness services. The remaining authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: On April 23, 2014, US media outlets broadcast reports of excessive wait times and "secret" waitlists at some Veterans Affairs (VA) hospitals, precipitating legislation to increase Veterans' access to private sector health care., Objective: The aims were to assess changes in Veterans' distrust in the VA health care system before and after the media coverage and explore sex and racial/ethnic differences in the temporal patterns., Methods: Veterans completed semistructured interviews on health care satisfaction from June 2013 to January 2015, including a validated scale of health system distrust (range: 1-5). We used linear splines with knots at 90-day intervals to assess changes in distrust before and after April 23, 2014 ("day 0") in linear mixed models. To explore sex and racial/ethnic differences in temporal patterns, we stratified models by sex and tested for interactions of race/ethnicity with time., Results: For women (n=600), distrust scores (mean=2.09) increased by 0.45 in days 0-90 (P<0.01), then decreased by 0.45 in days 90-180 (P<0.01). Among men (n=575), distrust scores (mean=2.05) increased by 0.18 in days 0-90 (P=0.059). Distrust levels were significantly higher for Black versus White women (time adjusted mean difference=0.21) and for Black and Hispanic versus White men (differences=0.26 and 0.18). However, the temporal patterns did not vary by race/ethnicity for women or men (interaction P=0.85 and 0.21, respectively)., Conclusions: Health system distrust increased in women following media coverage of VA access problems and was higher in Black/Hispanic versus White Veterans at all time periods. Such perceptions could influence Veteran decisions to seek health care in the community rather than VA., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Few studies have assessed sex or racial/ethnic differences in inpatient experiences in the Veterans Affairs (VA) Healthcare System., Objectives: This study aimed to compare inpatient experiences by sex and race/ethnicity within and between VA hospitals., Research Design: We used mixed-effects multinomial regression to assess within-facility and between-facility sex and racial/ethnic differences in the 2010 VA Survey of Healthcare Experiences of Patients., Subjects: 50,471 respondents from 144 VA hospitals (4.5% female; 75.4% non-Hispanic white, 14.7% non-Hispanic black, 5.4% Hispanic, and 4.4% other race/ethnicity)., Measures: Negative and positive patient-reported experiences in 13 health care domains were included., Results: Adjusted within-facility sex differences indicated that women reported more negative and less positive experiences than men in 4 domains, and less negative and more positive experiences on domains related to noise and privacy. Patients at facilities with more female patients reported more negative and less positive experiences in 4 domains. Blacks and Hispanics reported less negative and/or more positive experiences than whites within the same facility, although patients at facilities with more black and Hispanic patients reported more negative and less positive experiences overall. There were few and inconsistent within-facility differences between other racial/ethnic patients and whites. Patients at facilities with more other racial/ethnic patients reported slightly less negative and more positive experiences., Conclusions: Male, black, and Hispanic patients treated in VA hospitals tend to report more positive experiences than female and white patients treated at the same facilities. However, less positive experiences are reported by patients overall in hospitals that serve larger populations of women and racial/ethnic minorities.

Background: Racial and ethnic differences in patient health care experiences have not been well examined in the Veterans Affairs (VA) Healthcare System., Objectives: To examine racial/ethnic differences in outpatient health care experiences within and between VA medical facilities., Research Design: We assessed within-facility and between-facility racial/ethnic differences in responses to the 2010 VA Survey of Healthcare Experiences of Patients using mixed-effects multinomial regression., Subjects: A total of 211,459 respondents (53.2%) to a random survey of outpatients from 910 VA medical facilities (71.9% non-Hispanic white, 15.1% non-Hispanic black, 6.4% Hispanic, and 6.7% Other race/ethnicity)., Measures: Negative and positive patient-reported experiences in 8 domains of health care., Results: Between-facility effects for black race were higher for 7 domains of negative experiences [risk differences (RDs): 0.37% to 1.64%] and lower for 6 domains of positive experiences (RDs: -0.69% to -2.54%). Between-facility effects for Hispanic ethnicity were higher for 5 domains of negative experiences (RDs: 0.60%-1.34%) and lower for 5 domains of positive experiences (RDs: -1.00% to -1.88%). Hispanic ethnicity was also associated with higher within-facility rates of positive experiences for 5 domains of care (RDs: 2.97%-4.08%). Other race/ethnicity was associated with significantly higher within-facility rates of negative experiences (RDs: 2.04%-3.95%) and lower rates of positive experiences for all 8 domains (RDs: -2.05% to -4.70%)., Conclusions: In a national random sample of Veterans managed in the VA Healthcare System, we demonstrated significant within-facility and between-facility racial and ethnic differences in outpatient health care experiences, with differing patterns for each minority group.

Objectives: The authors describe the relation of provider characteristics to processes, costs, and outcomes of medical care for elderly patients hospitalized for community-acquired pneumonia., Methods: Using Medicare claims data, Medicare beneficiaries discharged from Pennsylvania hospitals during 1990 with community-acquired pneumonia were identified. Claims data were used to ascertain mortality, readmissions, use of procedures and physician consultations, and the costs of care. The relationship of these measures to provider characteristics was analyzed using regression techniques to adjust for patient characteristics, including comorbidity and microbial etiology., Results: Among 22,294 pneumonia episodes studied, 30-day mortality was 17.0%. After adjusting for patient characteristics, 30-day mortality and readmission rates were unrelated to hospital teaching status or urban location or to physician specialty. Use of procedures and physician consultations was more common and costs were 11% higher among patients discharged from teaching hospitals compared with nonteaching hospitals. Similarly, costs were 15% higher at urban hospitals compared with rural hospitals. General internists and medical subspecialists used more procedures and had higher costs than family practitioners., Conclusions: Processes and costs of care for community-acquired pneumonia varied by provider characteristics, but neither mortality nor readmission rates did. These differences cannot be explained by clinical variables in the database. Further studies should determine whether less costly patterns of care for pneumonia, and perhaps other conditions, could replace more costly ones without compromising patient outcomes.

This study assessed variation in red cell transfusion practice among adult patients hospitalized with ulcer disease (ULCER), and those undergoing coronary artery bypass grafting (CABG), hip surgery (HIP), or total knee replacement (KNEE). The study design was a retrospective analysis of the 1989 MedisGroups Hospital Comparative Database, and the participants were adult patients presenting for their first admission with ULCER (N = 4,664), CABG (N = 6,812), HIP (N = 4,131) or KNEE (N = 3,042) in the MedisGroups Hospital Comparative Database. Outcome measures were whether a patient was transfused, and the number of units transfused. Logistic regression was used to analyze the decision to transfuse, and linear regression to analyze the number of units transfused. In these analyses, patient characteristics, hospital characteristics, and unique hospital identity were used as independent variables. The percentage of patients transfused was ULCER 50%, CABG 81%, HIP 69%, and KNEE 51%. The range among hospitals in the percentage of patients transfused was ULCER 11% to 76%, CABG 51% to 100%, HIP 36% to 95%, and KNEE 9% to 97%. When only patient characteristics were entered in the linear regression analyses, the R2 values were ULCER 0.33, CABG 0.11, HIP 0.11, and KNEE 0.07. When hospital was added, the R2 increased to ULCER 0.38, CABG 0.29, HIP 0.19, and KNEE 0.20 (P < 0.0001 for the change for all analyses). The results of the logistic regression analyses of the probability of transfusion were similar. There is substantial interhospital variation in the proportion of patients transfused and number of units transfused in the four conditions studied. Patient demographic and clinical characteristics explain a substantial proportion of the variation in transfusion practices for ulcer patients, but little of the variation in the three surgical conditions.

A primary goal of the Pneumonia Patient Outcomes Research Team (PORT) multicenter cohort study is to identify a subgroup of patients with community-acquired pneumonia (CAP) who could be safely treated on an ambulatory basis. The medical outcomes of inpatients and outpatients are to be compared. Propensity score adjustment provides a unified way to control for pretreatment differences in the analysis of all the outcomes in this nonrandomized study by defining "comparable" patients as those with the same propensity score (i.e., the same probability of hospitalization). Data for 747 patients (35.5% hospitalized) with CAP in the Pneumonia PORT study illustrate the development and assessment of a propensity score adjustment. A classification tree algorithm defined seven propensity score strata with hospitalization probabilities ranging from 6.5% to 76.5%. Statistically significant pretreatment imbalances favoring the outpatients were found for 29 of 44 baseline variables considered; after stratification on the propensity score, only 13 of the 29 imbalances remained statistically significant at the 0.05 level. Post hoc stratification on the estimated propensity score consistently reduced, but did not completely eliminate, systematic baseline differences between ambulatory and hospitalized patients with CAP. Regression adjustment can be used in conjunction with propensity score stratification to adjust further for the remaining identified imbalances.