Impact of Referring High-Risk Patients to Intensive Outpatient Primary Care Services: A Propensity Score-Matched Analysis.

BACKGROUND: Many healthcare systems have implemented intensive outpatient primary care programs with the hopes of reducing healthcare costs. OBJECTIVE: The Veterans Health Administration (VHA) piloted primary care intensive management (PIM) for patients at high risk for hospitalization or death, or "high-risk." We evaluated whether a referral model would decrease high-risk patient costs. DESIGN: Retrospective cohort study using a quasi-experimental design comparing 456 high-risk patients referred to PIM from October 2017 to September 2018 to 415 high-risk patients matched on propensity score. PARTICIPANTS: Veterans in the top 10th percentile of risk for 90-day hospitalization or death and recent hospitalization or emergency department (ED) visit. INTERVENTION: PIM consisted of interdisciplinary teams that performed comprehensive assessments, intensive case management, and care coordination services. MAIN OUTCOMES AND MEASURES: Change in VHA and non-VHA outpatient utilization, inpatient admissions, and costs 12 months pre- and post-index date. KEY RESULTS: Of the 456 patients referred to PIM, 301 (66%) enrolled. High-risk patients referred to PIM had a marginal reduction in ED visits (- 0.7; [95% CI - 1.50 to 0.08]; p = 0.08) compared to propensity-matched high-risk patients; overall outpatient costs were similar. High-risk patients referred to PIM had similar number of medical/surgical hospitalizations (- 0.2; [95% CI, - 0.6 to 0.16]; p = 0.2), significant increases in length of stay (6.36; [CI, - 0.01 to 12.72]; p = 0.05), and higher inpatient costs ($22,628, [CI, $3587 to $41,669]; p = 0.02) than those not referred to PIM. CONCLUSIONS AND RELEVANCE: VHA intensive outpatient primary care was associated with higher costs. Referral to intensive case management programs targets the most complex patients and may lead to increased utilization and costs, particularly in an integrated healthcare setting with robust patient-centered medical homes. TRIAL REGISTRATION: PIM 2.0: Patient Aligned Care Team (PACT) Intensive Management (PIM) Project (PIM2). NCT04521816. https://clinicaltrials.gov/study/NCT04521816.

Diverse perspectives on unit-level nurse staffing ratios in medical-surgical units: A Delphi policy analysis.

BACKGROUND: Appropriate staffing is essential to acute care delivery. Staffing ratio policy generates controversy. PURPOSE: This study examines perspectives on unit-level nurse-to-patient ratio policy in adult medical-surgical units. METHOD: Delphi methodology uses an invited diverse panel to analyze a policy's effects. Panelists completed iterative surveys about the impact they expect from unit-level ratio policy. FINDINGS: Panelists demonstrated moderate agreement that the proposed policy could increase staffing levels, decrease patient length of stay, and reduce nurse attrition. Other potential outcomes included reducing staffing in units above the minimum and increasing short-term costs. Panelists agreed that the policy could increase patient safety and nurse satisfaction and did not agree about the effect on long-term cost and innovation. Panelists also anticipated a mostly positive effect on patients and nurses. DISCUSSION: Policies that set unit-level nurse-to-patient ratios offer a potential strategy to improve medical-surgical staffing. Policy design should consider the range of expected outcomes.

Comparing Factors Associated with Increased Stimulant Use in Relation to HIV Status Using a Machine Learning and Prediction Modeling Approach.

Stimulant use is an important driver of HIV/STI transmission among men who have sex with men (MSM). Evaluating factors associated with increased stimulant use is critical to inform HIV prevention programming efforts. This study seeks to use machine learning variable selection techniques to determine characteristics associated with increased stimulant use and whether these factors differ by HIV status. Data from a longitudinal cohort of predominantly Black/Latinx MSM in Los Angeles, CA was used. Every 6 months from 8/2014-12/2020, participants underwent STI testing and completed surveys evaluating the following: demographics, substance use, sexual risk behaviors, and last partnership characteristics. Least absolute shrinkage and selection operator (lasso) was used to select variables and create predictive models for an interval increase in self-reported stimulant use across study visits. Mixed-effects logistic regression was then used to describe associations between selected variables and the same outcome. Models were also stratified based on HIV status to evaluate differences in predictors associated with increased stimulant use. Among 2095 study visits from 467 MSM, increased stimulant use was reported at 20.9% (n = 438) visits. Increased stimulant use was positively associated with unstable housing (adjusted [a]OR 1.81; 95% CI 1.27-2.57), STI diagnosis (1.59; 1.14-2.21), transactional sex (2.30; 1.60-3.30), and last partner stimulant use (2.21; 1.62-3.00). Among MSM living with HIV, increased stimulant use was associated with binge drinking, vaping/cigarette use (aOR 1.99; 95% CI 1.36-2.92), and regular use of poppers (2.28; 1.38-3.76). Among HIV-negative MSM, increased stimulant use was associated with participating in group sex while intoxicated (aOR 1.81; 95% CI 1.04-3.18), transactional sex (2.53; 1.40-2.55), and last partner injection drug use (1.96; 1.02-3.74). Our findings demonstrate that lasso can be a useful tool for variable selection and creation of predictive models. These results indicate that risk behaviors associated with increased stimulant use may differ based on HIV status and suggest that co-substance use and partnership contexts should be considered in the development of HIV prevention/treatment interventions.

Improving primary care team functioning through evidence based quality improvement: A comparative case study.

BACKGROUND: Provision of team-based primary care (PC) is associated with improved care quality, but limited empirical evidence guides practices on how to optimize team functioning. We examined how evidence-based quality improvement (EBQI) was used to change PC team processes. EBQI activities were supported by research-clinical partnerships and included multilevel stakeholder engagement, external facilitation, technical support, formative feedback, QI training, local QI development and across-site collaboration to share proven practices. METHODS: We used a comparative case study in two VA medical centers (Sites A and B) that engaged in EBQI between 2014 and 2016. We analyzed multiple qualitative data sources: baseline and follow-up interviews with key stakeholders and provider team ("teamlet") members (n = 64), and EBQI meeting notes, reports, and supporting materials. RESULTS: Site A's QI project entailed engaging in structured daily huddles using a huddle checklist and developing a protocol clarifying team member roles and responsibilities; Site B initiated weekly virtual team meetings that spanned two practice locations. Respondents from both sites perceived these projects as improving team structure and staffing, team communications, role clarity, staff voice and personhood, accountability, and ultimately, overall team functioning over time. CONCLUSION: EBQI enabled local QI teams and other stakeholders to develop and implement innovations to improve PC team processes and characteristics in ways that improved teamlet members' perceptions of team functioning. IMPLICATIONS: EBQI's multi-level approach may empower staff and facilitate innovation by and within teams, making it an effective implementation strategy for addressing unique practice-based challenges and supporting improvements in team functioning across varied clinical settings. LEVEL OF EVIDENCE: VI.

The Relationship Between Insurance Status and the Affordable Care Act on Asthma Outcomes Among Low-Income US Adults.

BACKGROUND: Asthma disproportionately affects individuals with lower income. High uninsured rates are a potential driver for this disparity. Previous studies have not examined the effect of the Affordable Care Act (ACA) on asthma-related outcomes for individuals with low income. RESEARCH QUESTION: What is the impact of insurance status and the ACA on asthma outcomes for adults 18 to 64 years of age in households with low-income status? STUDY DESIGN AND METHODS: This study was a pooled cross-sectional observational study using National Health Interview Survey data from 2011 through 2013 and 2016 through 2018. Individuals 18 to 64 years of age with a history of asthma and low income were included. Survey-weighted regression modeling and mediation analysis was used to explore the relationship of insurance status and asthma control. Univariate and multivariate survey-weighted regression modeling then was used to evaluate the correlation of the ACA and asthma outcomes. RESULTS: We identified 4,043 individual observations. Having health insurance was correlated with improved asthma outcomes (OR, 1.25). This relationship was completely mediated by cost barriers to medications and physician visits. Although the ACA resulted in significant changes in insurance status (OR, 2.4), no statistically significant change was found in asthma outcomes. Furthermore, cost barriers to both medications and physician visits persisted in the insured population, 20.7% and 30.0%, respectively. INTERPRETATION: Insurance coverage is associated with improved asthma control for adults 18 to 64 years from households with low socioeconomic status. The ACA reduced the rates of uninsured, but did not have the same magnitude of effect on reducing cost barriers. The persistence of cost barriers may explain in part the lack of population-level improvement in asthma control.

Risk Behaviors Associated with Patterns of Sexualized Stimulant and Alcohol Use among Men Who Have Sex with Men: a Latent Class Analysis.

Substance use during sexual encounters (sexualized substance use) is an important driver of HIV and sexually transmitted infection (STI) disparities that are experienced by men who have sex with men (MSM). This analysis aimed to identify patterns of sexualized substance use and their associations with HIV risk behaviors. We utilized visit-level data from a longitudinal cohort of predominantly Black/Latinx MSM, half with HIV and half with substance use in Los Angeles, California. Every 6 months from 8/2014 to 3/2020, participants underwent STI testing and completed surveys on demographics, sexualized substance use (stimulant and/or alcohol intoxication during oral sex, receptive anal intercourse [RAI] and/or insertive anal intercourse [IAI]), transactional sex, biomedical HIV prevention (pre-/post-exposure prophylaxis use or undetectable viral load), and depressive symptoms. Latent class analysis was used to identify patterns of sexualized substance use. Multinomial logit models evaluated risk behaviors associated with latent classes. Among 2386 study visits from 540 participants, 5 classes were identified: no substance use, sexualized stimulant use, sexualized alcohol use, sexualized stimulant and alcohol use, and stimulant/alcohol use during oral sex and RAI. Compared to the no sexualized substance use class, sexualized stimulant use was associated with transactional sex, current diagnosis of STIs, not using HIV biomedical prevention, and depressive symptoms. Sexualized alcohol use had fewer associations with HIV risk behaviors. Patterns of sexual activities, and the substances that are used during those activities, confer different risk behavior profiles for HIV/STI transmission and demonstrate the potential utility of interventions that combine substance use treatment with HIV prevention.

Discontinuity of Women Veterans' Care in Patient-Centered Medical Homes: Does Workforce Gender Sensitivity Matter?

BACKGROUND: Prior research has found that 25% of women veterans who are new to the Department of Veterans Affairs (VA) health care system discontinue services within 3 years of initial use. Although it has been suggested that providing more gender-sensitive care might improve women veterans' health care experiences, no study has yet documented an empirical relationship between clinic and provider factors associated with the provision of gender-sensitive care and women veterans' care discontinuity. METHODS: Surveys of primary care providers (n = 82) and staff members (n = 108) from 12 VA medical centers were linked to administrative data for women veteran patients with at least one primary care visit in 2014 and 2015 (n = 9,958). Patient care discontinuity was operationalized as having no additional primary care visit within 3 years after the patient's baseline visit. Key indicators of gender-sensitive comprehensive primary care included type of medical home (women's health-focused vs. general primary care), workforce gender sensitivity, team functioning, perceived quality of provider/staff communication, leadership support for medical home implementation, and other structural components of care delivery (e.g., chaperone availability). We used logistic regression to assess the association between these indicators and women's care discontinuity, measuring discontinuity for both new and continuing VA users and controlling for patient characteristics. RESULTS: Eleven percent of women patients discontinued primary care within 3 years. Poor workforce gender sensitivity (lowest quartile vs. top three quartiles) was significantly associated with higher odds of discontinuity (odds ratio, 1.26; 95% confidence interval, 1.01-1.57); other indicators were not associated with discontinuity. CONCLUSIONS: This study is the first to document a relationship between workforce gender sensitivity and women veterans' care continuity. This finding underscores the need for additional attention to enhancing workforce gender sensitivity in VA.

Comorbidity combinations in schizophrenia inpatients and their associations with service utilization: A medical record-based analysis using association rule mining.

BACKGROUND: Comorbidities are common among patients with schizophrenia yet the prevalence of comorbidity combinations and their associations with inpatient service utilization and readmission have been scarcely explored. METHODS: Data were extracted from discharge summaries of patients whose primary diagnosis was schizophrenia spectrum disorders (ICD-10: F20-F29). We identified 30 most frequent comorbidities in patients' secondary diagnoses and then used the association rule mining (ARM) method to derive comorbidity combinations associated with length of stay (LOS), daily expense and one-year readmission. RESULTS: The study included data from 8252 patients. The top five most common comorbidities were extrapyramidal syndrome (EPS, 44.58%), constipation (31.63%), common cold (21.80%), hyperlipidemia (20.99%) and tachycardia (19.13%). Most comorbidity combinations identified by ARM were significantly associated with longer LOS (≥70 days), few were associated with higher daily expenses, and fewer with readmission. The 3-way combination of common cold, hyperlipidemia and fatty liver had the strongest association with longer LOS (adjusted OR (aOR): 3.38, 95% CI: 2.12-5.38). The combination of EPS and mild cognitive disorder was associated with higher daily expense (≥700 RMB) (aOR: 1.67, 95% CI: 1.20-2.31). The combination of constipation, tachycardia and fatty liver were associated with higher 1-year readmission (aOR: 2.05, 95% CI: 1.03-4.09). CONCLUSION: EPS, constipation, and tachycardia were among the most commonly reported comorbidities in schizophrenia patients in Beijing, China. Specific groups of comorbidities may contribute to higher inpatient psychiatric service utilization and readmission. The mechanism behind the associations and potential interventions to optimize service use warrant further investigation.

Examining the Relative Contributions of Methamphetamine Use, Depression, and Sexual Risk Behavior on Rectal Gonorrhea/Chlamydia Among a Cohort of Men Who Have Sex With Men in Los Angeles, California.

BACKGROUND: Methamphetamine use, sexual risk behaviors, and depression contribute to ongoing human immunodeficiency virus (HIV) and sexually transmitted infection (STI) disparities among men who have sex with men (MSM). The relative contributions of these effects longitudinally are not well understood. METHODS: This analysis used visit-level data from a longitudinal cohort of MSM, half with HIV, in Los Angeles, CA. From August 2014 to March 2020, participants completed follow-up visits every 6 months and underwent testing for rectal gonorrhea/chlamydia (GC/CT) and completed questionnaires including depressive symptoms, number of receptive anal intercourse (RAI) partners, and methamphetamine use. Path analysis with structural equation modeling using concurrent and lagged covariates was used to identify relative contributions of methamphetamine use and depression on number of RAI partners and rectal GC/CT across time. RESULTS: Five hundred fifty-seven MSM with up to 6 visits (3 years) were included for a total of 2437 observations. Methamphetamine use and depressive symptoms were positively associated with number of RAI partners (ß = 0.28, P < 0.001; ß = 0.33, P = 0.018, respectively), which was positively associated with rectal GC/CT (ß = 0.02, P < 0.001). When stratified by HIV status, depressive symptoms were positively associated with RAI partners for HIV-negative MSM (ß = 0.50, P = 0.007) but were not associated for MSM living with HIV (ß = 0.12, P = 0.57). Methamphetamine use was positively associated with RAI partners in both strata. CONCLUSIONS: Factors and patterns, which contribute to risk behaviors associated with rectal GC/CT, may differ by HIV status. Our findings demonstrate the importance of combined treatment and prevention efforts that link screening and treatment of stimulant use and depression with STI prevention and treatment.

The relationship between educational attainment and hospitalizations among middle-aged and older adults in the United States.

BACKGROUND: There has been little research on the relationship between education and healthcare utilization, especially for racial/ethnic minorities. This study aimed to examine the association between education and hospitalizations, investigate the mechanisms, and disaggregate the relationship by gender, race/ethnicity, and age groups. METHODS: A retrospective cohort analysis was conducted using data from the 1992-2016 US Health and Retirement Study. The analytic sample consists of 35,451 respondents with 215,724 person-year observations. We employed a linear probability model with standard errors clustered at the respondent level and accounted for attrition bias using an inverse probability weighting approach. RESULTS: On average, compared to having an education less than high school, having a college degree or above was significantly associated with an 8.37 pp (95% CI, -9.79 pp to -7.95 pp) lower probability of being hospitalized, and having education of high school or some college was related to 3.35 pp (95% CI, -4.57 pp to -2.14 pp) lower probability. The association slightly attenuated after controlling for income but dramatically reduced once holding health conditions constant. Specifically, given the same health status and childhood environment conditions, compared to those with less than high school degree, college graduates saw a 1.79 pp (95% CI, -3.16 pp to -0.42 pp) lower chance of being hospitalized, but the association for high school graduates became indistinguishable from zero. Additionally, the association was larger for females, whites, and those younger than 78. The association was statistically significantly smaller for black college graduates than their white counterparts, even when health status is held constant. CONCLUSIONS: Educational attainment is a strong predictor of hospitalizations for middle-aged and older US adults. Health mediates most of the education-hospitalization gradients. The heterogeneous results across age, gender, race, and ethnicity groups should inform further research on health disparities.

The effect of data aggregation on estimations of nurse staffing and patient outcomes.

OBJECTIVE: To examine how estimates of the association between nurse staffing and patient length of stay (LOS) change with data aggregation over varying time periods and settings, and statistical controls for unobserved heterogeneity. DATA SOURCES/STUDY SETTING: Longitudinal secondary data from October 2002 to September 2006 for 215 intensive care units and 438 general acute care units at 143 facilities in the Veterans Affairs (VA) health care system. RESEARCH DESIGN: This retrospective observational study used unit-level panel data to analyze the association between nurse staffing and LOS. This association was measured over both a month-long and a year-long period, with and without fixed effects. DATA COLLECTION: We used VA administrative data to obtain patient data on the severity of illness and LOS, as well as labor hours and wages for each unit by month. PRINCIPAL FINDINGS: Overall, shorter LOS was associated with higher nurse staffing hours and lower proportions of hours provided by licensed professional nurses (LPNs), unlicensed personnel, and contract staff. Estimates of the association between nurse staffing and LOS changed in magnitude when aggregating data over years instead of months, in different settings, and when controlling for unobserved heterogeneity. CONCLUSIONS: Estimating the association between nurse staffing and LOS is contingent on the time period of analysis and specific methodology. In future studies, researchers should be aware of these differences when exploring nurse staffing and patient outcomes.

Primary Care Physicians' Conceptualization of Quality in Medicare's Merit-Based Incentive Payment System.

BACKGROUND: While administrators of pay-for-performance may have good intentions, physicians may be reluctant to participate for various reasons, including poor program alignment with realities of clinical practice. In this study, we sought to characterize how primary care physicians (PCPs) participating in Medicare's Merit-Based Incentive Payment System (MIPS) conceptualize the quality of health care to help inform future measurement strategies that physicians would understand and appreciate. METHODS: We performed semi-structured qualitative interviews with a nationwide sample of 20 PCPs in MIPS. We asked PCPs how they would characterize quality and what distinguished exceptional, good, and poor quality. Interviews were transcribed and 2 coders independently read transcripts, allowing data to emerge from the interviews and developing theories about the data. The coders met intermittently to discuss findings, harmonize the coding scheme, develop a final list of themes and subthemes, and aggregate a list of representative quotations. RESULTS: Participants described quality as consisting of 2 components: (1) evidence-based care that is safe, which included health maintenance and chronic disease control, accurate diagnoses, and guideline adherence, and (2) patient-centered care, which included spending enough time with patients, responding to patient concerns, and establishing long-term relationships founded on trust. CONCLUSIONS: PCPs consider patient-centered care necessary for the provision of exceptional quality. Program administrators for quality measurement and pay-for-performance programs should explore new ways to reward PCPs for providing outstanding patient-centered care. Future research should be undertaken to determine whether patient-centered activities such as forging long-term, favorable patient-physician relationships, are associated with improved health outcomes.

How Do Clinicians of Different Specialties Perceive and Use Opioid Risk Mitigation Strategies? A Qualitative Study.

BACKGROUND: In response to the opioid crisis, states and health systems are encouraging clinicians to use risk mitigation strategies aimed at assessing a patient's risk for opioid misuse or abuse: opioid agreements, prescription drug monitoring programs (PDMPs), and urine drug tests (UDT). Objective: The objective of this qualitative study was to understand how clinicians perceived and used risk mitigation strategies for opioid abuse/misuse and identify barriers to implementation. Methods: We interviewed clinicians who prescribe opioid medications in the outpatient setting from 2016-2018 and analyzed the data using Constructivist Grounded Theory methodology. Results: We interviewed 21 primary care clinicians and 12 specialists. Nearly all clinicians reported using the PDMP. Some clinicians (adopters) found the opioid agreement and UDTs to be valuable, but most (non-adopters) did not. Adopters found the agreements and UDTs helpful in treating patients equitably, setting limits, and having objective evidence of misuse; protocols and workflows facilitated the use of the strategies. Non-adopters perceived the strategies as awkward, disruptive to the clinician-patient relationship, and introducing a power differential; they also cited lack of time and resources as barriers to use. Conclusions: Our study demonstrates that clinicians in certain settings have found effective ways to implement and use the PDMP, opioid agreements, and UDT but that other clinicians are less comfortable with their use. Administrators and policymakers should ensure that the strategies are designed in a way that strengthens the clinician-patient relationship while maximizing safety for patients and that clinicians are adequately trained and supported when introducing the strategies.

A sequence analysis of hospitalization patterns and service utilization in patients with major psychiatric disorders in China.

BACKGROUND: Understanding the long-term inpatient service cost and utilization of psychiatric patients may provide insight into service demand for these patients and guide the design of targeted mental health programs. This study assesses 3-year hospitalization patterns and quantifies service utilization intensity of psychiatric patients in Beijing, China. METHODS: We identified patients admitted for one of three major psychiatric disorders (schizophrenia, bipolar and depressive disorders) between January 1 and December 31, 2013 in Beijing, China. Inpatient admissions during the following 3 years were extracted and analyzed using sequence analysis. Clinical characteristics, psychiatric and non-psychiatric service use of included patients were analyzed. RESULTS: The study included 3443 patients (7657 hospitalizations). The patient hospitalization sequences were grouped into 4 clusters: short stay (N = 2741 (79.61% of patients), who had 126,911 or 26.82% of the hospital days within the sample), repeated long stay (N = 404 (11.73%), 76,915 (16.26%) days), long-term stay (N = 101 (2.93%), 59,909 (12.66%) days) and permanent stay (N = 197 (5.72%), 209,402 (44.26%) days). Length and frequency of hospitalization, as well as readmission rates were significantly different across the 4 clusters. Over the 3-year period, hospitalization days per year decreased for patients in the short stay and repeated long stay clusters. Patients with schizophrenia (1705 (49.52%)) had 78.4% of cumulative psychiatric stays, with 11.14% of them in the permanent stay cluster. Among patients with depression, 23.11% had non-psychiatric hospitalizations, and on average 46.65% of their total inpatient expenses were for non-psychiatric care, the highest among three diagnostic groups. CONCLUSION: Hospitalization patterns varied significantly among psychiatric patients and across diagnostic categories. The high psychiatric care service use of the long-term and permanent stay patients underlines the need for evidence-based interventions to reduce cost and improve care quality.

Comparison of Childbirth Delivery Outcomes and Costs of Care Between Women Experiencing vs Not Experiencing Homelessness.

Importance: Women and families constitute the fastest-growing segments of the homeless population. However, there is limited evidence on whether women experiencing homelessness have poorer childbirth delivery outcomes and higher costs of care compared with women not experiencing homelessness. Objective: To compare childbirth delivery outcomes and costs of care between pregnant women experiencing homelessness vs those not experiencing homelessness. Design, Setting, and Participants: This cross-sectional study included 15 029 pregnant women experiencing homelessness and 308 242 pregnant women not experiencing homelessness who had a delivery hospitalization in 2014. The study used statewide databases that included all hospital admissions in 3 states (ie, Florida, Massachusetts, and New York). Delivery outcomes and delivery-associated costs were compared between pregnant women experiencing homelessness and those not experiencing homelessness cared for at the same hospital (analyzed using the overlap propensity-score weighting method and multivariable regression models with hospital fixed effects). The Benjamini-Hochberg false discovery rate procedure was used to account for multiple comparisons. Data were analyzed from January 2020 through May 2020. Exposure: Housing status at delivery hospitalization. Main Outcomes and Measures: Outcome variables included obstetric complications (ie, antepartum hemorrhage, placental abnormalities, premature rupture of the membranes, preterm labor, and postpartum hemorrhage), neonatal complications (ie, fetal distress, fetal growth restriction, and stillbirth), delivery method (ie, cesarean delivery), and delivery-associated costs. Results: Among 15 029 pregnant women experiencing homelessness (mean [SD] age, 28.5 [5.9] years) compared with 308 242 pregnant women not experiencing homelessness (mean [SD] age, 29.4 [5.8] years) within the same hospital, those experiencing homelessness were more likely to experience preterm labor (adjusted probability, 10.5% vs 6.7%; adjusted risk difference [aRD], 3.8%; 95% CI, 1.2%-6.5%; adjusted P = .03) and had higher delivery-associated costs (adjusted costs, $6306 vs $5888; aRD, $417; 95% CI, $156-$680; adjusted P = .02) compared with women not experiencing homelessness. Those experiencing homelessness also had a higher probability of placental abnormalities (adjusted probability, 4.0% vs 2.0%; aRD, 1.9%; 95% CI, 0.4%-3.5%; adjusted P = .053), although this difference was not statistically significant. Conclusions and Relevance: This study found that women experiencing homelessness, compared with those not experiencing homelessness, who had a delivery and were admitted to the same hospital were more likely to experience preterm labor and incurred higher delivery-associated costs. These findings suggest wide disparities in delivery-associated outcomes between women experiencing homelessness and those not experiencing homelessness in the US. The findings highlight the importance for health care professionals to actively screen pregnant women for homelessness during prenatal care visits and coordinate their care with community health programs and social housing programs to make sure their health care needs are met.

How do contraindications to non-opioid analgesics and opioids affect the likelihood that patients with back pain diagnoses in the primary care setting receive an opioid prescription? An observational cross-sectional study.

BACKGROUND: Given the risks of opioids, clinicians are under growing pressure to treat pain with non-opioid medications. Yet non-opioid analgesics such as non-steroidal anti-inflammatory drugs (NSAIDs) have their own risks: patients with kidney disease or gastrointestinal diseases can experience serious adverse events. We examined the likelihood that patients with back pain diagnoses and contraindications to NSAIDs and opioids received an opioid prescription in primary care. METHODS: We identified office visits for back pain from 2012 to 2017 and sampled the first office visit per patient per year (N = 24,543 visits). We created indicators reflecting contraindications for NSAIDs (kidney, liver, cardiovascular/cerebrovascular, and gastrointestinal diseases; concurrent or chronic use of anticoagulants/antiplatelets, chronic corticosteroid use) and opioids (depression, anxiety, substance use (SUD) and bipolar disorders, and concurrent benzodiazepines) and estimated four logistic regression models, with the one model including all patient visits and models 2-4 stratifying for previous opioid use. We estimated the population attributable risk for each contraindication. RESULTS: In our model with all patients-visits, patients received an opioid prescription at 4% of visits. The predicted probability (PP) of receiving an opioid was 4% without kidney disease vs. 7% with kidney disease; marginal effect (ME): 3%; 95%CI: 1-4%). For chronic or concurrent anticoagulant/antiplatelet prescriptions, the PPs were 4% vs. 6% (ME: 2%; 95%CI: 1-3%). For concurrent benzodiazepines, the PPs were 4% vs. 11% (ME: 7%, 95%CI: 5-9%) and for SUD, the PPs were 4% vs. 5% (ME: 1%, 95%CI: 0-3%). For the model including patients with previous long-term opioid use, the PPs for concurrent benzodiazepines were 25% vs. 24% (ME: -1%; 95%CI: - 18-16%). The population attributable risk (PAR) for NSAID and opioid contraindications was small. For kidney disease, the PAR was 0.16% (95%CI: 0.08-0.23%), 0.44% (95%CI: 0.30-0.58%) for anticoagulants and antiplatelets, 0.13% for substance use (95%CI: 0.03-0.22%) and 0.20% for concurrent benzodiazepine use (95%CI: 0.13-0.26%). CONCLUSIONS: Patients with diagnoses of kidney disease and concurrent use of anticoagulants/antiplatelet medications had a higher probability of receiving an opioid prescription at a primary care visit for low back pain, but these conditions do not explain a large proportion of the opioid prescriptions.

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.

End-of-Life Cost Trajectories in Cancer Patients Treated by Medicare versus the Veterans Health Administration.

BACKGROUND/OBJECTIVES: To evaluate differences in end-of-life cost trajectories for cancer patients treated through Medicare versus by the Veterans Health Administration (VA). DESIGN: A retrospective analysis of VA and Medicare administrative data from FY 2010 to 2014. We employed three-level generalized estimating equations to evaluate monthly cost trajectories experienced by patients in their last year of life, with patients nested within hospital referral region. SETTING: Care received at VA facilities or by Medicare-reimbursed providers nationwide. PARTICIPANTS: A total of 36,401 patients dying from cancer and dually enrolled in VA and Medicare. MEASUREMENTS: We evaluated trajectories for total, inpatient, outpatient, and drug costs, using the last 12 months of life. Cost trajectories were prioritized as costs are not directly comparable across Medicare and VA. Patients were assigned to be VA-reliant, Medicare-reliant or Mixed-reliant based on their healthcare utilization in the last year of life. RESULTS: All three groups experienced significantly different cost trajectories for total costs in the last year of life. Inpatient cost trajectories were significantly different between Medicare-reliant and VA-reliant patients, but did not differ between VA-reliant and Mixed-reliant patients. Outpatient and drug cost trajectories exhibited the inverse pattern: they were significantly different between VA-reliant and Mixed-reliant patients, but not between VA-reliant and Medicare-reliant patients. However, visual examination of cost trajectories revealed similar cost patterns in the last year of life among all three groups; there was a sharp rise in costs as patients approach death, largely due to inpatient care. CONCLUSION: Despite substantially different financial incentives and organization, VA- and Medicare-treated patients exhibit similar patterns of increasing end-of-life costs, largely driven by inpatient costs. Both systems require improvement to ensure quality of end-of-life care is aligned with recommended practice.

Comorbidity Assessment Is Uneven Across Veterans Health Administration and Medicare for the Same Patient: Implications for Risk Adjustment.

OBJECTIVE: Compare comorbidity identification in Medicare and Veterans Health Administration (VA) data for the purposes of risk adjustment. DATA SOURCES: Analysis of Medicare and VA datasets for dually-enrolled Veterans receiving care in both settings, fiscal years 2010-2014. STUDY DESIGN: A retrospective analysis of administrative data for a national sample of cancer decedents. DATA EXTRACTION METHODS: Comorbidities were evaluated using Elixhauser and Charlson coding algorithms. PRINCIPAL FINDINGS: Clinical comorbidities were more likely to be recorded in Medicare than in VA datasets. Of 42 comorbidities, 36 (86%) were recorded at a different frequency. For example, congestive heart failure was recorded for 22.0% of patients in Medicare data and for 11.3% of patients in VA data (P<0.001). CONCLUSION: There are large differences in comorbidity assessment across VA and Medicare administrative data for the same patient, posing challenges for risk adjustment.