The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem.

IMPORTANCE: This manuscript will be of interest to most Clinical and Translational Science Awards (CTSA) as they retool for the increasing emphasis on translational science from translational research. This effort is an extension of the EDW4R work that most CTSAs have done to deploy infrastructure and tools for researchers to access clinical data. OBJECTIVES: The Iowa Health Data Resource (IHDR) is a strategic investment made by the University of Iowa to improve access to real-world health data. The goals of IHDR are to improve the speed of translational health research, to boost interdisciplinary collaboration, and to improve literacy about health data. The first objective toward this larger goal was to address gaps in data access, data literacy, lack of computational environments for processing Personal Health Information (PHI) and the lack of processes and expertise for creating transformative datasets. METHODS: A three-pronged approach was taken to address the objective. The approach involves integration of an intercollegiate team of non-informatics faculty and staff, a data enclave for secure patient data analyses, and novel comprehensive datasets. RESULTS: To date, all five of the health science colleges (dentistry, medicine, nursing, pharmacy, and public health) have had at least one staff and one faculty member complete the two-month experiential learning curriculum. Over the first two years of this project, nine cohorts totaling 36 data liaisons have been trained, including 18 faculty and 18 staff. IHDR data enclave eliminated the need to duplicate computational infrastructure inside the hospital firewall which reduced infrastructure, hardware and human resource costs while leveraging the existing expertise embedded in the university research computing team. The creation of a process to develop and implement transformative datasets has resulted in the creation of seven domain specific datasets to date. CONCLUSION: The combination of people, process, and technology facilitates collaboration and interdisciplinary research in a secure environment using curated data sets. While other organizations have implemented individual components to address EDW4R operational demands, the IHDR combines multiple resources into a novel, comprehensive ecosystem IHDR enables scientists to use analysis tools with electronic patient data to accelerate time to science.

Location and Types of Treatment for Prostate Cancer After the Veterans Choice Program Implementation.

Importance: The Veterans Choice Program (VCP) was implemented in 2014 to help veterans gain broader access to specialized care outside of the Veterans Health Administration (VHA) facilities by providing them with purchased community care (CC). Objective: To describe the prevalence and patterns in VCP-funded purchased CC after the implementation of the VCP among veterans with prostate cancer. Design, Setting, and Participants: This cohort study used VHA administrative data on veterans with prostate cancer diagnosed between January 1, 2015, and December 31, 2018. These veterans were regular VHA primary care users. Analyses were performed from March to July 2023. Exposures: Driving distance (in miles) from residence to nearest VHA tertiary care facility. The location (VHA or purchased CC) in which treatment decisions were made was ascertained by considering 3 factors: (1) location of the diagnostic biopsy, (2) location of most of the postdiagnostic prostate-specific antigen laboratory testing, and (3) location of most of the postdiagnostic urological care encounters. Main Outcomes and Measures: The main outcome was receipt of definitive treatment and proportion of purchased CC by treatment type (radical prostatectomy [RP], radiotherapy [RT], or active surveillance) and by distance to nearest VHA tertiary care facility. Quality was evaluated based on receipt of definitive treatment for Gleason grade group 1 prostate cancer (low risk/limited treatment benefit by guidelines). Results: The cohort included 45 029 veterans (mean [SD] age, 67.1 [6.9] years) with newly diagnosed prostate cancer; of these patients, 28 866 (64.1%) underwent definitive treatment. Overall, 56.8% of patients received definitive treatment from the purchased CC setting, representing 37.5% of all RP care and 66.7% of all RT care received during the study period. Most patients who received active surveillance management (92.5%) remained within the VHA. Receipt of definitive treatment increased over the study period (from 5830 patients in 2015 to 9304 in 2018), with increased purchased CC for patients living farthest from VHA tertiary care facilities. The likelihood of receiving definitive treatment of Gleason grade group 1 prostate cancer was higher in the purchased CC setting (adjusted relative risk ratio, 1.79; 95% CI, 1.65-1.93). Conclusions and Relevance: This cohort study found that the percentage of veterans receiving definitive treatment in VCP-funded purchased CC settings increased significantly over the study period. Increased access, however, may come at the cost of low care quality (overtreatment) for low-risk prostate cancer.

Timely Curative Treatment and Overall Mortality Among Veterans With Stage I NSCLC.

Introduction: Early stage lung cancer (LC) outcomes depend on the receipt of timely therapy. We aimed to determine the proportions of Veterans with stage I NSCLC in the age group eligible for LC screening (LCS) receiving timely curative treatment (≤12 wk after diagnosis), the factors associated with timely treatment and modality, and the factors associated with overall mortality. Methods: Retrospective cohort study in Veterans aged 55 to 80 years when diagnosed with stage I NSCLC during 2011 to 2015. We used multivariate logistic regression models to determine factors associated with receiving timely therapy and receiving surgery versus stereotactic body radiation therapy (SBRT). We used multivariate Cox proportional hazards regression analysis to determine factors associated with overall mortality. Results: We identified 4796 Veterans with stage I NSCLC; the cohort was predominantly older, White males, current or former smokers, and living in urban areas. Overall, 84% underwent surgery and 16% underwent SBRT. The median time to treatment was 63 days (61 d for surgery; 71 d for SBRT), with 30% treated more than 12 weeks. Unmarried Veterans with higher social deprivation index were less likely to receive timely therapy. Black race, female sex, and never smoking were associated with lower overall mortality. Older Veterans receiving treatment >12 wk, with higher comorbidity index, and squamous cell carcinoma had higher overall mortality. Conclusions: A total of 30% of the Veterans with stage I NSCLC in the age group eligible for LCS received curative treatment more than 12 weeks after diagnosis, which was associated with higher overall mortality. Delays in LC treatment could decrease the mortality benefits of LCS among the Veterans.

Association of entry into hospice or palliative care consultation during acute care hospitalization with subsequent antibiotic utilization.

OBJECTIVE: We aimed to estimate antibiotic use during the last 6 months of life for hospitalized patients under hospice or palliative care and identify potential targets (i.e. time points) for antibiotic stewardship during the end-of-life period. METHODS: We conducted a retrospective cohort study of nationwide Veterans Affairs (VA) patients who died between January 1, 2014 and December 31, 2019 and who had been hospitalized within 6 months prior to death. Data from the VA's integrated electronic medical record were collected, including demographics, comorbid conditions, and duration of inpatient antibiotics administered, along with outpatient antibiotics dispensed. A propensity score-matched cohort analysis was conducted to compare antibiotic use between hospitalized patients placed into palliative care or hospice matched to hospitalized patients not receiving palliative care or hospice. RESULTS: There were 9808 and 40 796 propensity score-matched patient pairs in the hospice and palliative care groups, respectively. Within 14 days of placement or consultation, 41% (4040/9808) of hospice patients and 48% (19 735/40 796) of palliative care patients received at least one antibiotic, while 25% (2420/9808) matched nonhospice and 27% (10 991/40 796) matched nonpalliative care patients received antibiotics. Entry into hospice was independently associated with a 12% absolute increase in antibiotic prescribing, and entry into palliative care was associated with a 17% absolute increase during the 14 days post-entry vs. pre-entry period. DISCUSSION: We observed that patients receiving end-of-life care had high levels of antibiotic exposure across this VA population, particularly during admissions when they received hospice or palliative care consultation.

Association of Rapid Response Teams With Hospital Mortality in Medicare Patients.

BACKGROUND: Although rapid response teams have been widely promoted as a strategy to reduce unexpected hospital deaths, most studies of rapid response teams have not adjusted for secular trends in mortality before their implementation. We examined whether implementation of a rapid response team was associated with a reduction in hospital mortality after accounting for preimplementation mortality trends. METHODS: Among 56 hospitals in Get With The Guidelines-Resuscitation linked to Medicare, we calculated the annual rates of case mix-adjusted mortality for each hospital during 2000 to 2014. We constructed a hierarchical log-binomial regression model of mortality over time (calendar-year), incorporating terms to capture the effect of rapid response teams, to determine whether implementation of rapid response teams was associated with reduction in hospital mortality that was larger than expected based on preimplementation trends, while adjusting for hospital case mix index. RESULTS: The median annual number of Medicare admissions was 5214 (range, 408-18 398). The median duration of preimplementation and postimplementation period was 7.6 years (≈2.5 million admissions) and 7.2 years (≈2.6 million admissions), respectively. Hospital mortality was decreasing by 2.7% annually during the preimplementation period. Implementation of rapid response teams was not associated with a change in mortality during the initial year (relative risk for model intercept, 0.98 [95% CI, 0.94-1.02]; P=0.30) or in the mortality trend (relative risk for model slope, 1.01 per year [95% CI, 0.99-1.02]; P=0.30). Among individual hospitals, implementation of a rapid response team was associated with a lower-than-expected mortality at only 4 (7.1%) and higher-than-expected mortality at 2 (3.7%) hospitals. CONCLUSIONS: Among a large and diverse sample of US hospitals, we did not find implementation of rapid response teams to be associated with reduction in hospital mortality. Studies are needed to understand best practices for rapid response team implementation, to ensure that hospital investment in these teams improves patient outcomes.

Community-Level Economic Distress, Race, and Risk of Adverse Outcomes After Heart Failure Hospitalization Among Medicare Beneficiaries.

BACKGROUND: Socioeconomic disadvantage is a strong determinant of adverse outcomes in patients with heart failure. However, the contribution of community-level economic distress to adverse outcomes in heart failure may differ across races and ethnicities. METHODS: Patients of self-reported Black, White, and Hispanic race and ethnicity hospitalized with heart failure between 2014 and 2019 were identified from the Medicare MedPAR Part A 100% Files. We used patient-level residential ZIP code to quantify community-level economic distress on the basis of the Distressed Community Index (quintile 5: economically distressed versus quintiles 1-4: nondistressed). The association of continuous and categorical measures (distressed versus nondistressed) of Distressed Community Index with 30-day, 6-month, and 1-year risk-adjusted mortality, readmission burden, and home time were assessed separately by race and ethnicity groups. RESULTS: The study included 1 611 586 White (13.2% economically distressed), 205 840 Black (50.6% economically distressed), and 89 199 Hispanic (27.3% economically distressed) patients. Among White patients, living in economically distressed (versus nondistressed) communities was significantly associated with a higher risk of adverse outcomes at 30-day and 1-year follow-up. Among Black and Hispanic patients, the risk of adverse outcomes associated with living in distressed versus nondistressed communities was not meaningfully different at 30 days and became more prominent by 1-year follow-up. Similarly, in the restricted cubic spline analysis, a stronger and more graded association was observed between Distressed Community Index score and risk of adverse outcomes in White patients (versus Black and Hispanic patients). Furthermore, the association between community-level economic distress and risk of adverse outcomes for Black patients differed in rural versus urban areas. Living in economically distressed communities was significantly associated with a higher risk of mortality and lower home time at 1-year follow-up in rural areas but not urban areas. CONCLUSIONS: The association between community-level economic distress and risk of adverse outcomes differs across race and ethnic groups, with a stronger association noted in White patients at short- and long-term follow-up. Among Black patients, the association of community-level economic distress with a higher risk of adverse outcomes is less evident in the short term and is more robust and significant in the long-term follow-up and rural areas.

Association of Remdesivir Treatment With Survival and Length of Hospital Stay Among US Veterans Hospitalized With COVID-19.

Importance: Randomized clinical trials have yielded conflicting results about the effects of remdesivir therapy on survival and length of hospital stay among people with COVID-19. Objective: To examine associations between remdesivir treatment and survival and length of hospital stay among people hospitalized with COVID-19 in routine care settings. Design, Setting, and Participants: This retrospective cohort study used data from the Veterans Health Administration (VHA) to identify adult patients in 123 VHA hospitals who had a first hospitalization with laboratory-confirmed COVID-19 from May 1 to October 8, 2020. Propensity score matching of patients initiating remdesivir treatment to control patients who had not initiated remdesivir treatment by the same hospital day was used to create the analytic cohort. Exposures: Remdesivir treatment. Main Outcomes and Measures: Time to death within 30 days of remdesivir treatment initiation (or corresponding hospital day for matched control individuals) and time to hospital discharge with time to death as a competing event. Associations between remdesivir treatment and these outcomes were assessed using Cox proportional hazards regression in the matched cohort. Results: The initial cohort included 5898 patients admitted to 123 hospitals, 2374 (40.3%) of whom received remdesivir treatment (2238 men [94.3%]; mean [SD] age, 67.8 [12.8] years) and 3524 (59.7%) of whom never received remdesivir treatment (3302 men [93.7%]; mean [SD] age, 67.0 [14.4] years). After propensity score matching, the analysis included 1172 remdesivir recipients and 1172 controls, for a final matched cohort of 2344 individuals. Remdesivir recipients and matched controls were similar with regard to age (mean [SD], 66.6 [14.2] years vs 67.5 [14.1] years), sex (1101 men [93.9%] vs 1101 men [93.9%]), dexamethasone use (559 [47.7%] vs 559 [47.7%]), admission to the intensive care unit (242 [20.7%] vs 234 [19.1%]), and mechanical ventilation use (69 [5.9%] vs 45 [3.8%]). Standardized differences were less than 10% for all measures. Remdesivir treatment was not associated with 30-day mortality (143 remdesivir recipients [12.2%] vs 124 controls [10.6%]; log rank P = .26; adjusted hazard ratio [HR], 1.06; 95% CI, 0.83-1.36). Results were similar for people receiving vs not receiving dexamethasone at remdesivir initiation (dexamethasone recipients: adjusted HR, 0.93; 95% CI, 0.64-1.35; nonrecipients: adjusted HR, 1.19; 95% CI, 0.84-1.69). Remdesivir recipients had a longer median time to hospital discharge compared with matched controls (6 days [interquartile range, 4-12 days] vs 3 days [interquartile range, 1-7 days]; P < .001). Conclusions and Relevance: In this cohort study of US veterans hospitalized with COVID-19, remdesivir treatment was not associated with improved survival but was associated with longer hospital stays. Routine use of remdesivir may be associated with increased use of hospital beds while not being associated with improvements in survival.

How Should We Organize Care for Patients With Human Immunodeficiency Virus and Comorbidities? A Multisite Qualitative Study of Human Immunodeficiency Virus Care in the United States Department of Veterans Affairs.

BACKGROUND: With human immunodeficiency virus (HIV) now managed as a chronic disease, health care has had to change and expand to include management of other critical comorbidities. We sought to understand how variation in the organization, structure and processes of HIV and comorbidity care, based on patient-centered medical home (PCMH) principles, was related to care quality for Veterans with HIV. RESEARCH DESIGN: Qualitative site visits were conducted at a purposive sample of 8 Department of Veterans Affairs Medical Centers, varying in care quality and outcomes for HIV and common comorbidities. Site visits entailed conduct of patient interviews (n=60); HIV care team interviews (n=60); direct observation of clinic processes and team interactions (n=22); and direct observations of patient-provider clinical encounters (n=45). Data were analyzed using a priori and emergent codes, construction of site syntheses and comparing sites with varying levels of quality. RESULTS: Sites highest and lowest in both HIV and comorbidity care quality demonstrated clear differences in provision of PCMH-principled care. The highest site provided greater team-based, comprehensive, patient-centered, and data-driven care and engaged in continuous improvement. Sites with higher HIV care quality attended more to psychosocial needs. Sites that had consistent processes for comorbidity care, whether in HIV or primary care clinics, had higher quality of comorbidity care. CONCLUSIONS: Provision of high-quality HIV care and high-quality co-morbidity care require different care structures and processes. Provision of both requires a focus on providing care aligned with PCMH principles, integrating psychosocial needs into care, and establishing explicit consistent approaches to comorbidity management.

Risk-Standardized Home Time as a Novel Hospital Performance Metric for Pneumonia Hospitalization Among Medicare Beneficiaries: a Retrospective Cohort Study.

BACKGROUND: The Centers for Medicare & Medicaid Services (CMS) use hospital readmissions as a performance metric to incentivize hospital care for acute conditions including pneumonia. However, there are limitations to using readmission alone as a hospital performance metric. OBJECTIVE: To characterize 30-day risk-standardized home time (RSHT), a novel patient-centered post-discharge performance metric for acute pneumonia hospitalizations in Medicare patients, and compare hospital rankings based on this metric with mortality and readmissions. STUDY DESIGN: Retrospective, cohort study. PARTICIPANTS: A cohort of Medicare fee-for-service beneficiaries admitted between January 01, 2015 and November 30, 2017. INTERVENTIONS: None. MAIN MEASURES: Risk-standardized hospital-level home time within 30 days of discharge was evaluated as a novel performance metric. Multilevel regression models were used to calculate hospital-level estimates and rank hospitals based on RSHT, readmission rate (RSRR), and mortality rate (RSMR). KEY RESULTS: A total of 1.7 million pneumonia admissions admitted to one of the 3116 hospitals were eligible for inclusion. The median 30-day RSHT was 20.5 days (interquartile range: 18.9-21.9 days; range: 5-29 days). Hospital-level characteristics such as case volume, bed size, for-profit ownership, rural location of the hospital, teaching status, and participation in the bundled payment program were significantly associated with home time. We found a modest, inverse correlation of RSHT with RSRR (rho: -0.233, p< 0.0001) and RSMR (rho: -0.223, p< 0.0001) for pneumonia. About 1/3rd of hospitals were reclassified as high performers based on their RSHT metric compared with the rank on their RSRR and RSMR metrics. CONCLUSION: Home time is a novel, patient-centered, hospital-level metric that can be easily calculated using claims data and accounts for mortality, readmission to an acute care facility, and admission to a skilled nursing facility or long-term care facility after discharge. Utilization of this patient-centered metric could have policy implications in assessing hospital performance on delivery of healthcare to pneumonia patients.

Comparative Effectiveness of Switching to Daptomycin Versus Remaining on Vancomycin Among Patients With Methicillin-resistant Staphylococcus aureus (MRSA) Bloodstream Infections.

BACKGROUND: Patients with methicillin-resistant Staphylococcus aureus bloodstream infections (MRSA BSI) usually receive initial treatment with vancomycin but may be switched to daptomycin for definitive therapy, especially if treatment failure is suspected. Our objective was to evaluate the effectiveness of switching from vancomycin to daptomycin compared with remaining on vancomycin among patients with MRSA BSI. METHODS: Patients admitted to 124 Veterans Affairs Hospitals who experienced MRSA BSI and were treated with vancomycin during 2007-2014 were included. The association between switching to daptomycin and 30-day mortality was assessed using Cox regression models. Separate models were created for switching to daptomycin any time during the first hospitalization and for switching within 3 days of receiving vancomycin. RESULTS: In total, 7411 patients received vancomycin for MRSA BSI. Also, 606 (8.2%) patients switched from vancomycin to daptomycin during the first hospitalization, and 108 (1.5%) switched from vancomycin to daptomycin within 3 days of starting vancomycin. In the multivariable analysis, switching to daptomycin within 3 days was significantly associated with lower 30-day mortality (hazards ratio [HR] = 0.48; 95% confidence interval [CI]: .25, .92). However, switching to daptomycin at any time during the first hospitalization was not significantly associated with 30-day mortality (HR: 0.87; 95% CI: .69, 1.09). CONCLUSIONS: Switching to daptomycin within 3 days of initial receipt of vancomycin is associated with lower 30-day mortality among patients with MRSA BSI. This benefit was not seen when the switch occurred later. Future studies should prospectively assess the benefit of early switching from vancomycin to other anti-MRSA antibiotics.

Comparative Effectiveness and Safety of Direct Oral Anticoagulants in Obese Patients with Atrial Fibrillation.

BACKGROUND: Unlike warfarin direct oral anticoagulants (DOACs) are administered in fixed doses, which raises concerns of its effectiveness on larger patients. Data from randomized trials are limited on the safety and efficacy of DOACs in morbidly obese individuals with atrial fibrillation (AF). METHODS: We analyzed a cohort of obese (≥ 120 kg) and morbidly obese (BMI > 40 kg/m2) patients from the Veterans Health Administration system with AF who initiated apixaban, rivaroxaban, dabigatran, or warfarin between years 2012 and 2018. We used inverse probability of treatment weighting (IPTW) and Cox proportional hazards regression models to evaluate the relative hazard of death, myocardial infarction (MI), ischemic stroke, heart failure (HF), and bleeding events between oral anticoagulant (OAC) groups while censoring for medication cessation. RESULTS: We identified 6052 obese patients on apixaban, 4233 on dabigatran, 4309 on rivaroxaban, and 13,417 on warfarin (mean age 66.7 years, 91% males, 80.4% whites). At baseline patients on apixaban had the lowest glomerular filtration rate and highest rates of previous stroke and MI compared to other OACs. Among patients with weight ≥ 120 kg and those with BMI > 40 kg/m2, all DOACs were associated with lower risk of any hemorrhage, hemorrhagic stroke, and gastrointestinal (GI) bleeding. Patients with BMI > 40 kg/m2 treated with DOACs had similar ischemic stroke risk with those on warfarin. CONCLUSIONS: In this large cohort of obese Veterans Health Administration system patients, the use of DOACs resulted in lower hemorrhagic complications than warfarin while maintaining efficacy on ischemic stroke prevention.

Evaluation of Risk-Adjusted Home Time After Hospitalization for Heart Failure as a Potential Hospital Performance Metric.

Importance: Thirty-day home time, defined as time spent alive and out of a hospital or facility, is a novel, patient-centered performance metric that incorporates readmission and mortality. Objectives: To characterize risk-adjusted 30-day home time in patients discharged with heart failure (HF) as a hospital-level quality metric and evaluate its association with the 30-day risk-standardized readmission rate (RSRR), 30-day risk-standardized mortality rate (RSMR), and 1-year RSMR. Design, Setting, and Participants: This hospital-level cohort study retrospectively analyzed 100% of Medicare claims data from 2 968 341 patients from 3134 facilities from January 1, 2012, to November 30, 2017. Exposures: Home time, defined as time spent alive and out of a short-term hospital, skilled nursing facility, or intermediate/long-term facility 30 days after discharge. Main Outcomes and Measures: For each hospital, a risk-adjusted 30-day home time for HF was calculated similar to the Centers for Medicare & Medicaid Services risk-adjustment models for 30-day RSRR and RSMR. Hospitals were categorized into quartiles (lowest to highest risk-adjusted home time). The correlations between hospital rates of risk-adjusted 30-day home time and 30-day RSRR, 30-day RSMR, and 1-year RSMR were estimated using the Pearson correlation coefficient. Distribution of days lost from a perfect 30-day home time were calculated. Reclassification of hospital performance using 30-day home time vs 30-day RSRR was also evaluated. Results: Overall, 2 968 341 patients (mean [SD] age, 81.0 [8.3] years; 53.6% female) from 3134 hospitals were included in this study. The median hospital risk-adjusted 30-day home time for patients with HF was 21.77 days (range, 8.22-28.41 days). Hospitals in the highest quartile of risk-adjusted 30-day home time (best-performing hospitals) were larger (mean [SD] number of beds, 285 [275]), with a higher volume of patients with HF (median, 797 patients; interquartile range, 395-1484) and were more likely academic hospitals (59.9%) with availability of cardiac surgery (51.1%) and cardiac rehabilitation (68.8%). A total of 72% of home time lost was attributable to stays in an intermediate- or long-term care facility (mean [SD], 2.65 [6.44] days) or skilled nursing facility (mean [SD], 3.96 [9.04] days), 13% was attributable to short-term readmissions (mean [SD], 1.25 [3.25] days), and 15% was attributable to death (mean [SD], 1.37 [6.04] days). Among 30-day outcomes, the 30-day RSRR and 30-day RSMR decreased in a graded fashion across increasing 30-day home time categories (correlation coefficients: 30-day RSRR and 30-day home time, -0.23, P < .001; 30-day RSMR and 30-day home time, -0.31, P < .001). Similar patterns of association were also noted for 1-year RSMR and 30-day home time (correlation coefficient, -0.35, P < .001). Thirty-day home time meaningfully reclassified hospital performance in 30% of the hospitals compared with 30-day RSRR and in 25% of hospitals compared with 30-day RSMR. Conclusions and Relevance: In this study, 30-day home time among patients discharged after a hospitalization for HF was objectively assessed as a hospital-level quality metric using Medicare claims data and was associated with readmission and mortality outcomes and with reclassification of hospital performance compared with 30-day RSRR and 30-day RSMR.

Antibiotic Stewardship Implementation and Antibiotic Use at Hospitals With and Without On-site Infectious Disease Specialists.

BACKGROUND: Many US hospitals lack infectious disease (ID) specialists, which may hinder antibiotic stewardship efforts. We sought to compare patient-level antibiotic exposure at Veterans Health Administration (VHA) hospitals with and without an on-site ID specialist, defined as an ID physician and/or ID pharmacist. METHODS: This retrospective VHA cohort included all acute-care patient admissions during 2016. A mandatory survey was used to identify hospitals' antibiotic stewardship processes and their access to an on-site ID specialist. Antibiotic use was quantified as days of therapy per days present and categorized based on National Healthcare Safety Network definitions. A negative binomial regression model with risk adjustment was used to determine the association between presence of an on-site ID specialist and antibiotic use at the level of patient admissions. RESULTS: Eighteen of 122 (14.8%) hospitals lacked an on-site ID specialist; there were 525 451 (95.8%) admissions at ID hospitals and 23 007 (4.2%) at non-ID sites. In the adjusted analysis, presence of an ID specialist was associated with lower total inpatient antibacterial use (odds ratio, 0.92; 95% confidence interval, .85-.99). Presence of an ID specialist was also associated with lower use of broad-spectrum antibacterials (0.61; .54-.70) and higher narrow-spectrum ß-lactam use (1.43; 1.22-1.67). Total antibacterial exposure (inpatient plus postdischarge) was lower among patients at ID versus non-ID sites (0.92; .86-.99). CONCLUSIONS: Patients at hospitals with an ID specialist received antibiotics in a way more consistent with stewardship principles. The presence of an ID specialist may be important to effective antibiotic stewardship.

Trends, Perioperative Adverse Events, and Survival of Patients With Left Ventricular Assist Devices Undergoing Noncardiac Surgery.

Importance: Information regarding the performance and outcomes of noncardiac surgery (NCS) in patients with left ventricular assist devices (LVADs) is scarce, with limited longitudinal follow-up data that are mostly limited to single-center reports. Objective: To examine the trends, patient characteristics, and outcomes associated with NCS among patients with LVAD. Design, Setting, and Participants: This cohort study examined patients enrolled in Medicare undergoing durable LVAD implantation from January 2012 to November 2017 with follow-up through December 2017. The study included all Medicare Provider and Analysis Review Part A files for the years 2012 to 2017. Patients identified by International Classification of Diseases, Ninth Revision Clinical Modification (ICD-9-CM) and International Classification of Diseases, Tenth Revision (ICD-10) procedure codes for new LVAD implantation were included. Data analysis was performed from November 2019 to February 2020. Exposures: NCS procedures were identified using the ICD-9-CM and ICD-10 procedural codes and divided into elective and urgent or emergent. Main Outcomes and Measures: The primary outcome was major adverse cardiovascular events (MACEs), defined as in-hospital or 30-day all-cause mortality, ischemic stroke, or intracerebral hemorrhage after NCS. Early (<60 days after NCS) and late (≥60 days after NCS) mortality after NCS were analyzed in both subgroups using time-varying covariate and landmark analysis using patients who did not undergo NCS as reference. Results: Of the 8118 patients with LVAD (mean [SD] age, 63.4 [10.8] years; 6484 men [79.9%]), 1326 (16.3%, or approximately 1 in 6) underwent NCS, of which 1000 procedures (75.4%) were emergent or urgent and 326 (24.6%) were elective. There was no difference in age between patients who underwent NCS and patients who did not (mean [SD] age, 63.6 [10.6] vs 63.4 [10.9] years). The number of NCS procedures among patients with LVAD increased from 64 in 2012 to 304 in 2017. The median (interquartile range) time from LVAD implantation to NCS was 309 (133-606) days. The most frequent type of NCS was general (613 abdominal, pelvic, and gastrointestinal procedures [46.2%]). Perioperative MACEs occurred in 169 patients (16.9%) undergoing emergent or urgent NCS and 23 patients (7.1%) undergoing elective NCS. Urgent or emergent NCS was associated with higher mortality early (adjusted hazard ratio [aHR], 8.78; 95% CI, 7.20-10.72; P < .001) and late (aHR, 1.71; 95% CI, 1.53-1.90; P < .001) after NCS compared with patients with LVAD who did not undergo NCS. Elective NCS was also associated with higher mortality early (aHR, 2.65; 95% CI, 1.74-4.03; P < .001) and late (aHR, 1.29; 95% CI, 1.07-1.56; P = .008) after NCS. Conclusions and Relevance: One of 6 patients with LVAD underwent NCS. Perioperative MACEs were frequent. Higher mortality risk transcended the early postoperative period in urgent or emergent and elective surgical procedures.

Potentially harmful drug prescription in elderly patients with heart failure with reduced ejection fraction.

AIMS: This study aimed to evaluate the prescription frequency of potentially harmful prescription drugs as defined in current heart failure guidelines among elderly patients with a diagnosis of heart failure with reduced ejection fraction and their association with clinical outcomes. METHODS AND RESULTS: We used the Centers for Medicare & Medicaid Services data from a nationally representative 5% sample for the years 2014-2016 to identify patients admitted to acute care hospitals with a primary diagnosis of heart failure with reduced ejection fraction. The primary exposure was filling a prescription for a potentially harmful drug. Potentially harmful drug fills were treated as a time-dependent covariate to examine their association on readmission and mortality. A total of 8993 patients met study criteria. Potentially harmful drugs were prescribed in 1077 (11.9%) patients within 90 days of discharge from the heart failure hospitalization. Non-steroidal anti-inflammatory agents were the most frequently prescribed potentially harmful drug (6.7%) followed by calcium channel blockers (4.7%), thiazolidinedione (0.59%), and select antiarrhythmic (0.33%). Factors independently associated with potentially harmful drug prescription were female gender, Hispanic ethnicity, severe obesity, among others. In the multivariable Cox model, the prescription of a potentially harmful drug was associated with an increased risk of readmission (hazard ratio 1.14; 95% confidence interval 1.05-1.23, P < 0.001). Among drug subgroups, only calcium channel blockers were associated with an increased risk of readmission (hazard ratio 1.225; 95% confidence interval 1.085-1.382, P = 0.0011). CONCLUSIONS: In elderly patients discharged with a primary diagnosis of heart failure with reduced ejection fraction on guideline-directed medical therapy, prescription of a potentially harmful drug was frequent. Calcium channel blockers were associated with an increased risk of readmission.

Evaluation of Risk-Adjusted Home Time After Acute Myocardial Infarction as a Novel Hospital-Level Performance Metric for Medicare Beneficiaries.

BACKGROUND: The utility of 30-day risk-standardized readmission rate (RSRR) as a hospital performance metric has been a matter of debate. Home time is a patient-centered outcome measure that accounts for rehospitalization, mortality, and postdischarge care. We aim to characterize risk-adjusted 30-day home time in patients with acute myocardial infarction (AMI) as a hospital-level performance metric and to evaluate associations with 30-day RSRR, 30-day risk-standardized mortality rate (RSMR), and 1-year RSMR. METHODS: The study included 984 612 patients with AMI hospitalization across 2379 hospitals between 2009 and 2015 derived from 100% Medicare claims data. Home time was defined as the number of days alive and spent outside of a hospital, skilled nursing facility, or intermediate-/long-term acute care facility 30 days after discharge. Correlations between hospital-level risk-adjusted 30-day home time and 30-day RSRR, 30-day RSMR, and 1-year RSMR were estimated with the Pearson correlation. Reclassification in hospital performance using 30-day home time versus 30-day RSRR and 30-day RSMR was also evaluated. RESULTS: Median hospital-level risk-adjusted 30-day home time was 24.0 days (range, 15.3-29.0 days). Hospitals with higher home time were more commonly academic centers, had available cardiac surgery and rehabilitation services, and had higher AMI volume and percutaneous coronary intervention use during the AMI hospitalization. Of the mean 30-day home time days lost, 58% were to intermediate-/long-term care or skilled nursing facility stays (4.7 days), 30% to death (2.5 days), and 12% to readmission (1.0 days). Hospital-level risk-adjusted 30-day home time was inversely correlated with 30-day RSMR (r=-0.22, P<0.0001) and 30-day RSRR (r=-0.25, P<0.0001). Patients admitted to hospitals with higher risk-adjusted 30-day home time had lower 30-day readmission (quartile 1 versus 4, 21% versus 17%), 30-day mortality rate (5% versus 3%), and 1-year mortality rate (18% versus 12%). Furthermore, 30-day home time reclassified hospital performance status in ≈30% of hospitals versus 30-day RSRR and 30-day RSMR. CONCLUSIONS: Thirty-day home time for patients with AMI can be assessed as a hospital-level performance metric with the use of Medicare claims data. It varies across hospitals, is associated with postdischarge readmission and mortality outcomes, and meaningfully reclassifies hospital performance compared with the 30-day RSRR and 30-day RSMR metrics.

Temporal Trends and Clinical Outcomes of Transcatheter Aortic Valve Replacement in Nonagenarians.

Background Contemporary outcomes of transcatheter aortic valve replacement (TAVR) in nonagenarians are unknown. Methods and Results We identified 13 544 nonagenarians (aged 90-100 years) who underwent TAVR between 2012 and 2016 using Medicare claims. Generalized estimating equations were used to study the change in short-term outcomes among nonagenarians over time. We compared outcomes between nonagenarians and non-nonagenarians undergoing TAVR in 2016. A mixed-effect multivariable logistic regression was performed to determine predictors of 30-day mortality in nonagenarians in 2016. A center was defined as a high-volume center if it performed ≥100 TAVR procedures per year. After adjusting for changes in patients' characteristics, risk-adjusted 30-day mortality declined in nonagenarians from 9.8% in 2012 to 4.4% in 2016 (P<0.001), whereas mortality for patients <90 years decreased from 6.4% to 3.5%. In 2016, 35 712 TAVR procedures were performed, of which 12.7% were in nonagenarians. Overall, in-hospital mortality in 2016 was higher in nonagenarians compared with younger patients (2.4% versus 1.7%, P<0.05) but did not differ in analysis limited to high-volume centers (2.2% versus 1.7%; odds ratio: 1.33; 95% CI, 0.97-1.81; P=0.07). Important predictors of 30-day mortality in nonagenarians included in-hospital stroke (adjusted odds ratio [aOR]: 8.67; 95% CI, 5.03-15.00), acute kidney injury (aOR: 4.11; 95% CI, 2.90-5.83), blood transfusion (aOR: 2.66; 95% CI, 1.81-3.90), respiratory complications (aOR: 2.96; 95% CI, 1.52-5.76), heart failure (aOR: 1.86; 95% CI, 1.04-3.34), coagulopathy (aOR: 1.59; 95% CI, 1.12-2.26; P<0.05 for all). Conclusions Short-term outcomes after TAVR have improved in nonagenarians. Several procedural complications were associated with increased 30-day mortality among nonagenarians.

Effect of Frequency of Changing Point-of-Use Reminder Signs on Health Care Worker Hand Hygiene Adherence: A Cluster Randomized Clinical Trial.

Importance: Although hand hygiene (HH) is considered the most effective strategy for preventing hospital-acquired infections, HH adherence rates remain poor. Objective: To examine whether the frequency of changing reminder signs affects HH adherence among health care workers. Design, Setting, and Participants: This cluster randomized clinical trial in 9 US Department of Veterans Affairs acute care hospitals randomly assigned 58 inpatient units to 1 of 3 schedules for changing signs designed to promote HH adherence among health care workers: (1) no change; (2) weekly; and (3) monthly. Hand hygiene rates among health care workers were documented at entry and exit to patient rooms during the baseline period from October 1, 2014, to March 31, 2015, of normal signage and throughout the intervention period of June 8, 2015, to December 28, 2015. Data analyses were conducted in April 2018. Interventions: Hospital units were randomly assigned into 3 groups: (1) no sign changes throughout the intervention period, (2) signs changed weekly, and (3) signs changed monthly. Main Outcomes and Measures: Hand hygiene adherence as measured by covert observation. Interrupted time series analysis was used to examine changes in HH adherence from baseline through the intervention period by group. Results: Among 58 inpatient units, 19 units were assigned to the no change group, 19 units were assigned to the weekly change group, and 20 units were assigned to the monthly change group. During the baseline period, 9755 HH opportunities were observed at room entry and 10 095 HH opportunities were observed at room exit. During the intervention period, a total of 15 855 HH opportunities were observed at room entry, and 16 360 HH opportunities were observed at room exit. Overall HH adherence did not change from baseline compared with the intervention period at either room entry (4770 HH events [48.9%] vs 3057 HH events [50.1%]; P = .14) or exit (6439 HH events [63.8%] vs 4087 HH events [65.2%]; P = .06). In units that changed signs weekly, HH adherence declined from baseline at room entry (-1.9% [95% CI, -2.7% to -0.8%] per week; P < .001) and exit (-0.8% [95% CI, -1.5% to 0.1%] per week; P = .02). No significant changes in HH adherence were observed in other groups. Conclusions and Relevance: The frequency of changing reminder signs had no effect on HH rates overall. Units assigned to change signs most frequently demonstrated worsening adherence. Considering the abundance of signs in the acute care environment, the frequency of changing signs did not appear to provide a strong enough cue by itself to promote behavioral change. Trial Registration: ClinicalTrials.gov Identifier: NCT02223455.