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BackgroundMethamphetamine 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.MethodsThis 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.ResultsFive 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 (β = 0.28, P < 0.001; β = 0.33, P = 0.018, respectively), which was positively associated with rectal GC/CT (β = 0.02, P < 0.001). When stratified by HIV status, depressive symptoms were positively associated with RAI partners for HIV-negative MSM (β = 0.50, P = 0.007) but were not associated for MSM living with HIV (β = 0.12, P = 0.57). Methamphetamine use was positively associated with RAI partners in both strata.ConclusionsFactors 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.

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.

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.

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.

In the summer of 2017, the National Quality Forum (NQF) announced the formation of a Scientific Methods Panel (hereafter referred to as "the Panel") as part of a redesign of its endorsement process. NQF created the Panel in response to stakeholder request during a Kaizen improvement event held in May 2017. Given the Panel's role in the endorsement of performance measures used in national payment programs, the objective of this article is to describe the work of the Panel, and to describe its function in the larger context of the NQF measure endorsement process and in the measurement enterprise writ large. This article also serves as an introduction to a series of planned white papers being authored by the panel on specific technical issues in the area of health care performance measurement.

BACKGROUND: Sepsis is the leading cause of in-hospital death. The SEP-1 sepsis bundle is a protocol for early sepsis care that requires providers to diagnose and treat sepsis quickly. Limited evidence suggests that adherence to the sepsis bundle is lower in cases of hospital-onset sepsis. OBJECTIVE: To compare sepsis bundle adherence in hospital-onset vs. community-onset sepsis. DESIGN: Retrospective cohort study using multivariable analysis of clinical data. PARTICIPANTS: A total of 4658 inpatients age 18 or older were identified by diagnosis codes consistent with sepsis or disseminated infection. SETTING: Four university hospitals in California between 2014 and 2016. MAIN OUTCOMES AND MEASURES: The primary outcome was adherence to key components of the sepsis bundle defined by the Centers for Medicare and Medicaid Services in their core measure, SEP-1. Covariates included clinical characteristics related to the patient, infection, and pathogen. KEY RESULTS: Compared with community-onset, cases of hospital-onset sepsis were less likely to receive SEP-1 adherent care (relative risk 0.33, 95% confidence interval 0.29–0.38, p

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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-021-00600-8.

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.

BackgroundThe association of nursing staffing with patient outcomes has primarily been studied by comparing high to low staffed hospitals, raising concern other factors may account for observed differences. We examine the association of inpatient mortality with patients’ cumulative exposure to shifts with low registered nurse (RN) staffing, low nursing support staffing and high patient turnover.MethodsCumulative counts of exposure to shifts with low staffing and high patient turnover were used as time-varying covariates in survival analysis of data from a three-campus US academic medical centre for 2007–2012. Staffing below 75% of annual median unit staffing for each staff category and shift type was characterised as low. High patient turnover per day was defined as admissions, discharges and transfers 1 SD above unit annual daily averages.ResultsModels included cumulative counts of patient exposure to shifts with low RN staffing, low nursing support staffing, both concurrently and high patient turnover. The HR for exposure to shifts with low RN staffing only was 1.027 (95% CI 1.002 to 1.053, pConclusionLow RN and nursing support staffing were associated with increased mortality. The results should encourage hospital leadership to assure both adequate RN and nursing support staffing.

Background The Veterans Health Administration (VA) primary care is organized as a Patient Centered Medical Home (PCMH) that is based on continuity management of patient panels by interdisciplinary “teamlets” consisting of primary care providers, nurses, and clerical associates. While the teamlets are envisioned as interdisciplinary in this model, teamlet members may continue to report separately to middle management supervisors within their respective disciplines. Little is known about the role of middle managers in medical home implementation; therefore, the study purpose is to examine and characterize teamlet members’ perceptions of middle managers’ role in primary care operations and teamlet functioning in an outpatient setting. Methods This study applied a formal qualitative data collection method and analysis based on semi-structured interviews of 79 frontline interdisciplinary staff (primary care providers, nurses, and clerical associates) in VA Patient Aligned Care Teams (PACT) teamlets. Interviews were analyzed using a method of constant comparison. Results Teamlet members recognize that their supervising middle managers are essential to daily functioning of PACT teamlets in terms of clarifying roles and responsibilities, setting expectations, providing coverage strategies, supporting conflict resolution, and facilitating teamlet-initiated innovation. Teamlet members identified challenges when middle manager involvement was lacking. Conclusion Within a multilevel system, frontline interdisciplinary staff continue to perceive the need for leadership by middle managers from their own professional disciplines for solving interdisciplinary problems, setting role-specific schedules and expectations, and fostering innovation. As such, greater focus on the structure and training of middle managers for participation in PCMH models is needed.

Background Hospital benchmarking is essential to quality improvement, but its usefulness depends on the ability of statistical models to adequately control for inter-hospital differences in patient mix. We explored whether the addition of injury-specific clinical variables to the current American College of Surgeons-Trauma Quality Improvement Program (TQIP) algorithm would improve model fit. Methods We analyzed a prospective registry containing all adult patients who presented to a regional consortium of 14 trauma centers between 2010 and 2011 with severe traumatic brain injury (TBI). We used hierarchical logistic regression and stepwise forward selection to develop two novel risk-adjustment models. We then tested our novel models against the current TQIP model and ranked hospitals by their risk-adjusted mortality rates under each model to determine how model selection affects quality benchmarking. Results Seven hundred thirty-four patients met inclusion criteria. Stepwise selection resulted in two distinct models: one that added three TBI-specific variables (pupil reactivity, cerebral edema, loss of basal cisterns) to the model specification currently used by TQIP and another that combined two TBI-specific variables (pupil reactivity, cerebral edema) with a three-variable subset of TQIP (age, Abbreviated Injury Scale score for the head region, Glasgow Coma Scale motor score). Both novel models outperformed TQIP. Although rankings remained largely unchanged across model configurations, several hospitals moved across quality terciles. Conclusion The inclusion of injury-specific variables improves risk adjustment for patients with severe TBI. Trauma Quality Improvement Program should consider replacing several of its general patient characteristics with injury-specific clinical predictors to increase efficiency, reduce the risk of overfitting, and improve the accuracy of hospital benchmarking. Level of evidence Prognostic and epidemiological, level II.

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.

BackgroundAsthma 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 questionWhat 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 methodsThis 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.ResultsWe 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.InterpretationInsurance 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.

Author(s): Keller, Michelle S; Chen, Xiao; Godwin, Jamie; Needleman, Jack; Pourat, Nadereh | Abstract: ObjectiveThe 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 sourcesWe used 2009-2014 discharge data from California hospitals.Study designWe 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 extractionWe used Patient Safety Indicators for CLABSI, HAPU, and VTE, and constructed a sepsis mortality measure.Principal findingsDischarges 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.ConclusionsWe 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.

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.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.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.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.

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 Medicare9s 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.

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.

Background Given the risks of opioid therapy, clinicians are under growing pressure to treat pain with non-opioid medications. Yet non-opioid analgesics such as non-steroidal anti-inflammatory drugs have their own risks; patients with kidney disease or gastrointestinal diseases can experience serious adverse events. We examined how primary care clinicians balance patient comorbidities and concurrent medications when prescribing opioids. Methods We used a retrospective cross-sectional study design and data from one health system. We identified office visits for low back pain from 2012-2017 and sampled the first visit per patient per year (N= 24,543 visits). We created indicators reflecting contraindications for NSAIDs (kidney, liver, cardiovascular/cerebrovascular, and gastrointestinal diseases; concurrent use of anticoagulants/antiplatelets) and opioids (depression, anxiety, substance use and bipolar disorders, chronic corticosteroid use, and concurrent benzodiazepines) and estimated four logistic regression models, with the first model including all patient visits and then stratifying for previous opioid use. Results Patients received an opioid prescription at 4% of visits. Among all patients, kidney disease (marginal effect [ME]: 3%; 95%CI: 1%-4%) or chronic/concurrent anticoagulant/antiplatelet prescriptions (ME: 2%, 95%CI: 1%-3%) were associated with a higher probability of receiving an opioid prescription. Concurrent benzodiazepines (ME: 7%, 95%CI: 5%-9%) and substance use diagnoses (ME: 1%, 95%CI: 0%-3%) were also associated with a higher probability of opioid prescription receipt. Among patients with long-term opioid use, contraindications for NSAIDs were not associated with a higher probability of opioid prescription receipt, while the probability of opioid receipt among those with concurrent benzodiazepines was substantially higher (ME: 10%, 95%CI: 14%-53%).Conclusions Among our entire sample, patients with kidney disease were 75% more likely to receive an opioid prescription for low back pain. Among patients with long-term opioid use, we did not find the same association. Patients with long-term use were likely started on opioids when opioid prescribing was more liberal; discussions regarding non-opioid options would be worthwhile for this population. Patients with concurrent benzodiazepines were 175% more likely to receive an opioid prescription; among patients with long-term opioid use, they were 250% more likely to receive opioids. These findings are troubling, as this combination is dangerous and can lead to overdose.

RESEARCH OBJECTIVE: Research suggests that about 80% of women veterans receiving care at the Department of Veterans Affairs (VA) have experienced at least one trauma in their lifetimes, including military sexual trauma or combat‐related trauma. Trauma‐sensitive communication reflects an understanding of the impact of trauma and the needs of trauma survivors during health care encounters. We explored whether provider gender sensitivity is associated with positive ratings of trauma‐sensitive communication among women veteran patients. STUDY DESIGN: We conducted cross‐sectional surveys of providers to measure provider gender sensitivity using 10 survey items adapted from the Gender Awareness Inventory‐VA. Example items included “Sometimes I wish VA primary care clinics had only male patients.” We averaged responses in 5‐point Likert scales to create a composite score, with a higher score indicating higher sensitivity. We used cross‐sectional surveys of patients to measure women veterans' perspectives of trauma‐sensitive communication: providers (1) asked about any serious problems or stresses in life (yes vs no), (2) made sure they were comfortable before any treatments or examinations (always vs otherwise), and (3) made them feel comfortable talking about emotional issues (very comfortable vs otherwise). We linked survey responses of providers to women veterans via VA primary care visit information in 2014. We used logistic regression to predict each measure of trauma‐sensitive communication, controlling for women veterans' age, race, and ethnicity, a service‐connected disability, military sexual trauma, physical and mental comorbidities, and primary care and mental health visits in 2014. All analyses were weighted for survey nonresponses. POPULATION STUDIED: A total of 94 primary care providers (PCPs) (33% response rate) and 1395 women veterans (45% response rate) from 12 VA medical centers (VAMCs) completed the surveys between 2014 and 2015. After linking women veterans to PCPs, they had visited for primary care or women's health at the same 12 VAMCs in 2014, and the analyses included 804 women veterans and 58 PCPs who responded to the surveys. PRINCIPAL FINDINGS: Overall, 80.3% of women veterans reported that their PCPs asked about any serious problems or stresses in life, 79.3% reported that PCPs always made sure they were comfortable before any treatments or examinations, and 55.6% felt very comfortable talking with PCPs about emotional issues. After adjusting for covariates, higher provider gender sensitivity score was associated with more women veterans reporting that (1) PCPs asked about any serious problems or stresses in life (AOR: 1.33, 95% CI: 1.08‐1.63), (2) PCPs always made sure they were comfortable before any treatments or examinations (AOR: 1.10, 95% CI: 0.91‐1.34), and (3) they felt very comfortable talking with PCPs about emotional issues (AOR: 1.11, 95% CI: 0.93‐1.30). CONCLUSIONS: Overall, women veterans' ratings of trauma‐sensitive communication were positive. Higher provider sensitivity was associated with greater trauma‐sensitive communication. IMPLICATIONS FOR POLICY OR PRACTICE: Strategies to improve provider readiness to care for women veterans and their gender sensitivity can improve trauma‐sensitive communication with women veterans. PRIMARY FUNDING SOURCE: Department of Veterans Affairs.

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 Conclusion There are large differences in comorbidity assessment across VA and Medicare administrative data for the same patient, posing challenges for risk adjustment.

Background: While governmental programs seeking to improve the quality and value of healthcare through pay-for-performance initiatives have good intentions, participating physicians may be reluctant to participate for various reasons, including poor program alignment with considerations relevant to daily 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 healthcare 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 participating in MIPS who were trained in internal medicine or family medicine. We asked PCPs how they would characterize quality in healthcare and what distinguished exceptional, good, and poor quality from one another. Interviews were transcribed and two 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 sub-themes, and aggregate a list of representative quotations.Results: Participants described quality in healthcare as consisting of two components: (1) evidence-based care that is safe, which included appropriate health maintenance and chronic disease control, accurate diagnoses, and adherence to guidelines and (2) patient-centered care, which included spending enough time with patients, responding to patient concerns, and establishing long-term patient-physician relationships that were founded upon trust. Conclusions: PCPs consider patient-centered care to be necessary for the provision of exceptional quality in healthcare. 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.

Objective Given the changing political and social climate around opioids, we examined how clinicians in the outpatient setting made decisions about managing opioid prescriptions for new patients already on long-term opioid therapy. Methods We conducted in-depth interviews with 32 clinicians in Southern California who prescribed opioid medications in the outpatient setting for chronic pain. The study design, interview guides, and coding for this qualitative study were guided by constructivist grounded theory methodology. Results We identified three approaches to assuming a new patient’s opioid prescriptions. Staunch Opposers, mostly clinicians with specialized training in pain medicine, were averse to continuing opioid prescriptions for new patients and often screened outpatients seeking opioids. Cautious and Conflicted Prescribers were wary about prescribing opioids but were willing to refill prescriptions if they perceived the patient as trustworthy and the medication fell within their comfort zone. Clinicians in the first two groups felt resentful about other clinicians “dumping” patients on opioids on them. Rapport Builders, mostly primary care physicians, were the most willing to assume opioid prescriptions and were strategic in their approach to transitioning patients to safer doses. Conclusions Clinicians with the most training in pain management were the least willing to assume responsibility for opioid prescriptions for patients already on long-term opioid therapy. In contrast, primary care clinicians were the most willing to assume this responsibility. However, primary care clinicians face barriers to providing high-quality care for patients with complex pain conditions, such as short visit times and less specialized training.

Background Gender sensitivity of providers and staff has assumed increasing importance in closing historical gender disparities in health care quality and outcomes. The Department of Veterans Affairs (VA) has implemented several initiatives intended to improve gender sensitivity of its health care workforce. The current study examines practice- and individual-level characteristics associated with gender sensitivity of primary care providers (PCPs) and staff. Methods We surveyed PCPs and staff (nurses, medical assistants, and clerks) at 12 VA medical centers (VAMCs) (n = 256 of 649; response rate, 39%). Gender sensitivity was measured using a 10-item scale adapted from the Gender Awareness Inventory-VA. We used weighted multivariate regression with maximum likelihood estimation to identify individual- and practice-level characteristics associated with gender sensitivity of PCPs and staff. Results PCPs and staff had similar gender sensitivity but differed in most characteristics associated with that gender sensitivity. Among PCPs, women's health training and positive communication with others in the clinic were associated with greater gender sensitivity. For staff, prior work experience caring for women, working in Women's Health Patient-Aligned Care Teams, and rural location were associated with greater gender sensitivity, whereas more years of VA service was associated with lower gender sensitivity. Working at VA medical centers with a higher volume of women veteran patients was associated with greater gender sensitivity for both PCPs and staff. Conclusions Women's health training and experience in working with other women's health professionals are strongly correlated with greater gender sensitivity in the clinical workforce.

To the editors, In their editorial commenting on our paper ‘Association of registered nurse and nursing support staffing with inpatient hospital mortality’,1 Aiken and Sloane present our study results, conclusions and implications as if we examined the impact of substituting nursing support staff for professional nurses or registered nurses (RNs). We did not examine substitution of support staff for RNs (commonly called skill mix) in this study and, as Aiken and Sloane acknowledge, we stated our findings should not be interpreted to mean that nursing aides can safely substitute for RNs. Nonetheless, Aiken and Sloane discuss our current paper as though it is about skill …

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.

Author(s): Squitieri, Lee; Waxman, Daniel A; Mangione, Carol M; Saliba, Debra; Ko, Clifford Y; Needleman, Jack; Ganz, David A | Abstract: OBJECTIVES:To evaluate national present-on-admission (POA) reporting for hospital-acquired pressure ulcers (HAPUs) and examine the impact of quality measure exclusion criteria on HAPU rates. DATA SOURCES/STUDY SETTING:Medicare inpatient, outpatient, and nursing facility data as well as independent provider claims (2010-2011). STUDY DESIGN:Retrospective cross-sectional study. DATA COLLECTION/EXTRACTION METHODS:We evaluated acute inpatient hospital admissions among Medicare fee-for-service (FFS) beneficiaries in 2011. Admissions were categorized as follows: (1) no pressure ulcer diagnosis, (2) new pressure ulcer diagnosis, and (3) previously documented pressure ulcer diagnosis. HAPU rates were calculated by varying patient exclusion criteria. PRINCIPAL FINDINGS:Among admissions with a pressure ulcer diagnosis, we observed a large discrepancy in the proportion of admissions with a HAPU based on hospital-reported POA data (5.2 percent) and the proportion with a new pressure ulcer diagnosis based on patient history in billing claims (49.7 percent). Applying quality measure exclusion criteria resulted in removal of 91.2 percent of admissions with a pressure injury diagnosis from HAPU rate calculations. CONCLUSIONS:As payers and health care organizations expand the use of quality measures, it is important to consider how the measures are implemented, coding revisions to improve measure validity, and the impact of patient exclusion criteria on provider performance evaluation.

Congressional and Veterans Affairs (VA) leaders have recommended the VA become more of a purchaser than a provider of health care. Fee-for-service Medicare provides an example of how purchased care differs from the VA’s directly provided care. Using established indicators of overly intensive end-of-life care, we compared the quality of care provided through the two systems to veterans dying of cancer in fiscal years 2010–14. The Medicare-reliant veterans were significantly more likely to receive high-intensity care, in the form of chemotherapy, hospital stays, admission to the intensive care unit, more days spent in the hospital, and death in the hospital. However, they were significantly less likely than VA-reliant patients to have multiple emergency department visits. Higher-intensity end-of-life care may be driven by financial incentives present in fee-for-service Medicare but not in the VA’s integrated system. To avoid putting VA-reliant veterans at risk of receiving lower-quality care, VA care-purcha...

The issue of the adequacy of nurse staffing in hospitals and its impact on patient outcomes remains contentious. While there have been a large number of studies demonstrating an association of staffing levels and skills mix on a wide range of outcomes, including mortality, hospital-acquired infections and overall length of stay in patients in hospitals, the vast majority of these studies have been conducted comparing high-staffed hospitals to low-staffed hospitals.1–6 Concerns have been raised that other factors than staffing also differ between high-staffed and low-staffed hospitals that might contribute to the observed differences, and that staffing plays a smaller role than is suggested by these studies. Settling the issue through a study by randomly assigning different staffing levels to hospitals or units seems very unlikely to occur on logistic grounds. And given the existing body of work research ethics committees would probably not approve such a study. What has proven feasible is utilising day-to-day variations in staffing and census across units within hospitals to assess the impact of low staffing on patient outcomes. Prior to the study by Griffiths et al in this issue of BMJ Quality & Safety ,7 two published studies have used this methodology. Needleman et al 8 identified shifts by units with substantial shortfalls in professional nurse staffing from targets established by a large academic medical centre’s staff projection system, and examined the association of cumulative exposure to low-staffed shifts on patient mortality over a 5-year period for 40 units. They found a substantial increase in mortality associated each low-staffed shift to which a patient was exposed. They also found that the hazard of mortality was increased for shifts with substantially higher than average patient turnover, as turnover was not incorporated into the staffing system. Fagerstrom et al 9 used data from 36 units …

BackgroundHospital-acquired pressure injuries (HAPIs) are publicly reported in the USA and used to adjust Medicare payment to acute inpatient facilities. Current methods used to identify HAPIs in administrative claims rely on hospital-reported present-on-admission (POA) data instead of prior patient health information.ObjectiveTo study the reliability of claims data for HAPIs and pressure injury (PI) stage by evaluating diagnostic coding agreement across interfacility transfers.MethodsUsing the 2012 100% Medicare Provider and Analysis Review file, we identified all fee-for-service acute inpatient discharge records with a PI diagnosis among Medicare patients 65 years and older. We then identified additional facility claims (eg, acute inpatient, long-stay inpatient or skilled nursing facility) belonging to the same patient who had either (1) admission within 1day of hospital discharge or (2) discharge within 1day of hospital admission. Multivariable logistic regression and stratified kappa statistics were used to measure coding agreement between transferring and receiving facilities in the presence or absence of a PI diagnosis at the time of patient transfer and PI stage category (early vs advanced).ResultsIn our comparison of claims data between transferring and receiving facilities, we observed poor agreement in the presence or absence of a PI diagnosis at the time of transfer (36.3%, kappa=0.03) and poor agreement in PI stage category (74.3%, kappa=0.17). Among transfers with a POA PI reported by the receiving hospital, only 34.0% had a PI documented at the prior transferring facility.ConclusionsThe observed discordance in PI documentation and staging between transferring and receiving facilities may indicate inaccuracy of HAPI identification in claims data. Future research should evaluate the accuracy of hospital-reported POA data and its impact on PI quality measurement.

Purpose Development of scoring systems to predict the risk of aminoglycoside resistance and to guide therapy is described. Methods Infections due to aminoglycoside-resistant gram-negative rods (AR-GNRs) are increasingly common and associated with adverse outcomes; selection of effective initial antibiotic therapy is necessary to reduce adverse consequences and shorten length of stay. To determine risk factors for AR-GNR recovery from culture, cases of GNR infection among patients admitted to 2 institutions in a major academic hospital system during the period 2011–2016 were retrospectively analyzed. Gentamicin and tobramycin resistance (GTR-GNR) and amikacin resistance (AmR-GNR) patterns were analyzed separately. A total of 26,154 GNR isolates from 12,516 patients were analyzed, 6,699 of which were GTR, and 2,467 of which were AmR. Results In multivariate analysis, risk factors for GTR-GNR were presence of weight loss, admission from another medical or long-term care facility, a hemoglobin level of Conclusion A scoring system derived from the developed risk prediction models can be applied by providers to guide empirical antimicrobial therapy for treatment of GNR infections.

ObjectivesChina launched the National Healthcare Improvement Initiative (NHII) in 2015 to improve patient experiences in healthcare. This study aimed to generate evidence of hospital care quality from the patients’ perspective.DesignThis nationwide cross-sectional study interviewed participants from 31 provinces, municipalities and autonomous regions across China.SettingA total of 117 tertiary hospitals in mainland China.Participants48 422 responses from outpatients and 35 957 responses from inpatients were included in this study.Primary outcome measureThe scores of six predefined domains in the Chinese Patient Experience Questionnaire, five of which were designed to reflect specific dimensions of care, and one of which indicated the overall rating.ResultsMore than 80% of the respondents viewed their care experiences as positive. The NHII seems to have had a positive impact, as indicated by the steady, although unremarkable, increase in the patient experience scores over the 2016–2018 period. The Chinese patients generally reported a positive experience with the clinical aspects of care, but reported a less positive experience with the environmental, interpersonal and social services aspects of care. The institutional factors, including region and type of hospital, and personal factors, such as gender, age, education and occupation, were factors affecting the patient experience in China. Humanistic care was the aspect of care with the greatest association with the overall patient experience rating in both the outpatient and inpatient settings.ConclusionsThe national survey indicated an overall positive patient perspective of care in China. Older age, higher education level and formal employment status were found to be correlated with positive care experiences, as were higher levels of economic development of the region, a more generous insurance benefits package and a higher degree of coordinated care. The interpersonal-related initiatives had substantial roles in the improvement of the patient experience. In the regions where farmers and users of traditional Chinese medicine services constitute a greater proportion of the population, improvement of patient experiences for these groups deserves special policy attention.

Aims To identify and group hospitalization trajectory of alcohol use disorder (AUD) patients and its associations with service utilization, healthcare quality and hospital-level variations. Methods Inpatients with AUD as the primary diagnosis from 2012 to 2014 in Beijing, China, were identified. Their discharge medical records were extracted and analyzed using the sequence analysis and the cluster analysis. Results Eight-hundred thirty-one patients were included, and their hospitalization patterns were grouped into four clusters: short stay (n = 565 (67.99%)), mean psychiatric length of stay in 3 years: (32.25 ± 18.69), repeated short stay (n = 211 (25.39%), 137.76 ± 88.8 days), repeated long stay (n = 41 (4.93%), 405.44 ± 146.54 days), permanent stay (n = 14 (1.68%), 818.14 ± 225.22 days). The latter two clusters (6.61% patients) used 37.26% of the total psychiatric hospital days and 33.65% of the total psychiatric hospitalization expenses. All the patients in the permanent stay cluster and 41.77% of the patients in the short stay cluster were readmitted at least once within 3 years. Two-hundred thirty-four patients (28.16%) were admitted at least once for non-psychiatric reasons, primarily for diseases of circulatory and digestive systems. Cluster composition varied significantly among different hospitals. Conclusion Hospitalization pattern of patients with AUD varies greatly, and while most (>2/3) hospitalizations were short stay, those with repeated long stay and permanent stay used more than one third of the hospital days and expenses. Our findings suggest interventions targeting at certain patients may be more effective in reducing resource utilization.

ObjectiveTo examine whether hospitals are more likely to temporarily close their emergency departments (EDs) to ambulances (through ambulance diversions) if neighboring diverting hospitals are public vs private.Data sources/study settingAmbulance diversion logs for California hospitals, discharge data, and hospital characteristics data from California's Office of Statewide Health Planning and Development and the American Hospital Association (2007).Study designWe match public and private (nonprofit or for-profit) hospitals by distance and size. We use random-effects models examining diversion probability and timing of private hospitals following diversions by neighboring public vs matched private hospitals.Data collection/extraction methodsN/A.Principal findingsHospitals are 3.6 percent more likely to declare diversions if neighboring diverting hospitals are public vs private (P&nbsp

Much statistical teaching and many research reports focus on the 'null hypothesis significance test'. Yet the correct meaning and interpretation of statistical significance tests is elusive. Misinterpretations are both common and persistent, leading many to question whether significance tests should be used at all. While most take aim at the arbitrary declaration of p 0.05 as a threshold for determining 'significance', others extend the critique to suggest the 'p-value' should be dispensed with entirely. P-values and significance tests are still widely used as if they give a measure of the size and importance of relationships, even though this misunderstanding has been observed and discussed for many years. We argue that p-values and significance tests are intrinsically misleading. Point estimates of relationships and confidence intervals give direct information about the effect and the uncertainty of the estimate without recourse to interpreting how a particular p-value might have arisen or indeed referring to them at all. In this paper we briefly outline some of the problems with significance testing, offer a number of examples selected from a recent issue of the International Journal of Nursing Studies and discuss some proposed responses to these problems. We conclude by offering some guidance to authors reporting statistical tests in journals and present a position statement that has been adopted by the International Journal of Nursing Studies to guide its' authors in reporting the results of statistical analyses. While stopping short of calling for an outright ban on reporting p-values and significance tests we urge authors (and journals) to place more emphasis on measures of effect and estimates of precision/uncertainty and, following the position of the American Statistical Association, emphasise that authors (and readers) should avoid using 0.05 or any other cut off for a p-value as the basis for a decision about the meaningfulness/importance of an effect. If point estimates and confidence intervals are used, then the p-value may be redundant and can be omitted from reports. When authors talk about 'significance' they need to be explicit when referring to statistical significance and we recommend authors adopt the language of 'importance' when talking about effect sizes to avoid any confusion.

Background Psychiatric readmissions negatively impact patients and their families while increasing healthcare costs. This study aimed at investigating factors associated with psychiatric readmissions within 30 days and 1 year of the index admissions and exploring the possibilities of monitoring and improving psychiatric care quality in China. Methods Data on index admission, subsequent admission(s), clinical and hospital-related factors were extracted in the inpatient medical record database covering 10 secondary and tertiary psychiatric hospitals in Beijing, China. Logistic regressions were used to examine the associations between 30-day and 1-year readmissions plus frequent readmissions (≥3 times/year), and clinical variables as well as hospital characteristics. Results The 30-day and 1-year psychiatric readmission rates were 16.69% (1289/7724) and 33.79% (2492/7374) respectively. 746/2492 patients (29.34%) were readmitted 3 times or more within a year (frequent readmissions). Factors significantly associated with the risk of both 30-day and 1-year readmission were residing in an urban area, having medical comorbidities, previous psychiatric admission(s), length of stay > 60 days in the index admission and being treated in tertiary hospitals (p Conclusion More than 30% of the psychiatric inpatients were readmitted within 1 year. Urban residents, those with medical comorbidities and previous psychiatric admission(s) or a longer length of stay were more likely to be readmitted, and men are more likely to be frequently readmitted. ECT treatment may reduce the likelihood of 30-day readmission and frequent admissions. Targeted interventions should be designed and piloted to effectively monitor and reduce psychiatric readmissions.

This cross-sectional study compares childbirth delivery outcomes and costs of care among women experiencing homelessness vs those not experiencing homelessness., Key Points Question Do pregnant women experiencing homelessness have poorer childbirth delivery outcomes and higher costs of care compared with pregnant women not experiencing homelessness? Findings In this multistate population-based cross-sectional study of 15 029 pregnant women experiencing homelessness and 308 242 pregnant women not experiencing homelessness, those experiencing homelessness were more likely to experience preterm labor and had higher delivery-associated costs. Those experiencing homelessness were also more likely to experience placental abnormalities, although this difference was not statistically significant. Meaning These findings suggest that, within the same hospital, housing status is associated with preterm labor and higher delivery costs., 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.

Objectives To determine the association of hospital nursing skill mix with patient mortality, patient ratings of their care and indicators of quality of care. Design Cross-sectional patient discharge data, hospital characteristics and nurse and patient survey data were merged and analysed using generalised estimating equations (GEE) and logistic regression models. Setting Adult acute care hospitals in Belgium, England, Finland, Ireland, Spain and Switzerland. Participants Survey data were collected from 13 077 nurses in 243 hospitals, and 18 828 patients in 182 of the same hospitals in the six countries. Discharge data were obtained for 275 519 surgical patients in 188 of these hospitals. Main outcome measures Patient mortality, patient ratings of care, care quality, patient safety, adverse events and nurse burnout and job dissatisfaction. Results Richer nurse skill mix (eg, every 10-point increase in the percentage of professional nurses among all nursing personnel) was associated with lower odds of mortality (OR=0.89), lower odds of low hospital ratings from patients (OR=0.90) and lower odds of reports of poor quality (OR=0.89), poor safety grades (OR=0.85) and other poor outcomes (0.80

Transforming Care at the Bedside (TCAB) is a program designed by the Robert Wood Johnson Foundation and the Institute for Healthcare Improvement to engage frontline staff in change processes to improve the work environment and patient care on nursing units. Originally designed and piloted in a small number of hospitals, TCAB is being disseminated through large-scale quality improvement (QI) collaboratives facilitated by professional organizations, such the New Jersey Hospital Association's Institute for Quality and Patient Safety (NJHA). This article presents the results of an evaluation of the NJHA dissemination effort. The evaluation team used an observational mixed-method evaluation design and multiple data sources to assess implementation of TCAB by nursing units in these facilities. The results show that most of the participating units successfully implemented the TCAB improvement processes. Nursing teamwork and three nursing-sensitive outcomes improved significantly over the course of TCAB, and TCAB unit managers attributed important improvements to their unit's participation. These findings suggest that TCAB is a viable mechanism for engaging frontline nursing staff in valuable QI activities. Other hospitals interested in furthering the culture and capacity for QI among frontline nursing unit staff should consider a TCAB collaborative for achieving these goals.