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Additional file 2. Acceptable Medications.

Additional file 1. Baseline Characteristics for Eligible and Ineligible Patients.

Changing physician behaviors is difficult. Electronic health record (EHR) clinical decision support (CDS) offers an opportunity to promote guideline adherence. Behavioral economics (BE) has shown success as an approach to supporting evidence-based decision-making with little additional cognitive burden. We applied a user-centered approach to incorporate BE "nudges" into a CDS module in two "vanguard" sites utilizing: (1) semi-structured interviews with key informants (n = 8); (2) a design thinking workshop; and (3) semi-structured group interviews with clinicians. In the 133 day development phase at two clinics, the navigator section fired 299 times for 27 unique clinicians. The inbasket refill alert fired 124 times for 22 clinicians. Fifteen prescriptions for metformin were written by 11 clinicians. Our user-centered approach yielded a BE-driven CDS module with relatively high utilization by clinicians. Next steps include the addition of two modules and continued tracking of utilization, and assessment of clinical impact of the module.

Individuals often make different decisions when faced with the same context, due to personal preferences and background. For instance, judges may vary in their leniency towards certain drug-related offenses, and doctors may vary in their preference for how to start treatment for certain types of patients. With these examples in mind, we present an algorithm for identifying types of contexts (e.g., types of cases or patients) with high inter-decision-maker disagreement. We formalize this as a causal inference problem, seeking a region where the assignment of decision-maker has a large causal effect on the decision. Our algorithm finds such a region by maximizing an empirical objective, and we give a generalization bound for its performance. In a semi-synthetic experiment, we show that our algorithm recovers the correct region of heterogeneity accurately compared to baselines. Finally, we apply our algorithm to real-world healthcare datasets, recovering variation that aligns with existing clinical knowledge., Comment: To appear in NeurIPS 2021

Observation unit admissions have been increasing, a trend that will likely continue because of recent changes in reimbursement policies. The purpose of this study is to determine the effect of the availability of observation units on hospitalizations and discharges to home for emergency department (ED) patients.We studied ED visits with a final diagnosis of chest pain in the National Hospital Ambulatory Medical Care Survey from 2007 to 2010. ED visits that resulted in an observation unit admission were propensity-score matched to visits at hospitals without an observation unit. We used logistic regression to develop a prediction model for hospitalization versus discharge home for matched patients treated at nonobservation hospitals. The model was applied to matched observation unit patients to determine the likely alternative disposition had the observation unit not been available.There were 1,325 eligible visits that represented 5,079,154 visits in the United States. Two hundred twenty-seven visits resulted in an observation unit admission. The predictive model for hospitalization had a c statistic of 0.91; variables significantly associated with subsequent hospitalization included age, history of coronary atherosclerosis, systolic blood pressure less than 115 beats/min, and administration of antianginal medications. When the model was applied to matched observation unit patients, 49.9% of them were categorized as discharge home likely.In this study, we estimated that half of ED visits for chest pain that resulted in an observation unit admission were made by patients who may have been discharged home had the observation unit not been available. Increased availability of observation units may result in both decreased hospitalizations and decreased discharges to home.

© 2015 American College of Cardiology Foundation. Background Randomized trials of percutaneous coronary intervention (PCI) versus coronary artery bypass graft (CABG) routinely exclude patients with chronic kidney disease (CKD). Objectives This study evaluated outcomes of PCI versus CABG in patients with CKD. Methods Patients with CKD who underwent PCI using everolimus-eluting stents were propensity-score matched to patients who underwent isolated CABG for multivessel coronary disease in New York. The primary outcome was all-cause mortality. Secondary outcomes were myocardial infarction (MI), stroke, and repeat revascularization. Results Of 11,305 patients with CKD, 5,920 patients were propensity-score matched. In the short term, PCI was associated with a lower risk of death (hazard ratio [HR]: 0.55; 95% confidence interval [CI]: 0.35 to 0.87), stroke (HR: 0.22; 95% CI: 0.12 to 0.42), and repeat revascularization (HR: 0.48; 95% CI: 0.23 to 0.98) compared with CABG. In the longer term, PCI was associated with a similar risk of death (HR: 1.07; 95% CI: 0.92 to 1.24), higher risk of MI (HR: 1.76; 95% CI: 1.40 to 2.23), a lower risk of stroke (HR: 0.56; 95% CI: 0.41 to 0.76), and a higher risk of repeat revascularization (HR: 2.42; 95% CI: 2.05 to 2.85). In the subgroup with complete revascularization with PCI, the increased risk of MI was no longer statistically significant (HR: 1.18; 95% CI: 0.67 to 2.09). In the 243 matched pairs of patients with end-stage renal disease on hemodialysis, PCI was associated with significantly higher risk of death (HR: 2.02; 95% CI: 1.40 to 2.93) and repeat revascularization (HR: 2.44; 95% CI: 1.50 to 3.96) compared with CABG. Conclusions In patients with CKD, CABG is associated with higher short-term risk of death, stroke, and repeat revascularization, whereas PCI with everolimus-eluting stents is associated with a higher long-term risk of repeat revascularization and perhaps MI, with no long-term mortality difference. In the subgroup on dialysis, the results favored CABG over PCI., Link_to_subscribed_fulltext

Previous studies have suggested that weekend hospital care is inferior to weekday care and that this difference may be related to diminished care intensity. The purpose of this study was to determine whether a metric for measuring intensity of hospital care based on use of the electronic health record was associated with patient-level outcomes.We performed a cohort study of hospitalizations at an academic medical center. Intensity of care was defined as the hourly number of provider accessions of the electronic health record, termed "electronic health record interactions." Hospitalizations were categorized on the basis of the mean difference in electronic health record interactions between the first Friday and the first Saturday of hospitalization. We used regression models to determine the association of these categories with patient outcomes after adjusting for covariates.Electronic health record interactions decreased from Friday to Saturday in 77% of the 9051 hospitalizations included in the study. Compared with hospitalizations with no change in Friday to Saturday electronic health record interactions, the relative lengths of stay for hospitalizations with a small, moderate, and large decrease in electronic health record interactions were 1.05 (95% confidence interval [CI], 1.00-1.10), 1.11 (95% CI, 1.05-1.17), and 1.25 (95% CI, 1.15-1.35), respectively. Although a large decrease in electronic health record interactions was associated with in-hospital mortality, these findings were not significant after risk adjustment (odds ratio 1.74, 95% CI, 0.93-3.25).Intensity of inpatient care, measured by electronic health record interactions, significantly diminished from Friday to Saturday, and this decrease was associated with length of stay. Hospitals should consider monitoring and correcting temporal fluctuations in care intensity.

BackgroundRandomized trials of percutaneous coronary intervention (PCI) versus coronary artery bypass graft (CABG) routinely exclude patients with chronic kidney disease (CKD).ObjectivesThis study evaluated outcomes of PCI versus CABG in patients with CKD.MethodsPatients with CKD who underwent PCI using everolimus-eluting stents were propensity-score matched to patients who underwent isolated CABG for multivessel coronary disease in New York. The primary outcome was all-cause mortality. Secondary outcomes were myocardial infarction (MI), stroke, and repeat revascularization.ResultsOf 11,305 patients with CKD, 5,920 patients were propensity-score matched. In the short term, PCI was associated with a lower risk of death (hazard ratio [HR]: 0.55; 95% confidence interval [CI]: 0.35 to 0.87), stroke (HR: 0.22; 95% CI: 0.12 to 0.42), and repeat revascularization (HR: 0.48; 95% CI: 0.23 to 0.98) compared with CABG. In the longer term, PCI was associated with a similar risk of death (HR: 1.07; 95% CI: 0.92 to 1.24), higher risk of MI (HR: 1.76; 95% CI: 1.40 to 2.23), a lower risk of stroke (HR: 0.56; 95% CI: 0.41 to 0.76), and a higher risk of repeat revascularization (HR: 2.42; 95% CI: 2.05 to 2.85). In the subgroup with complete revascularization with PCI, the increased risk of MI was no longer statistically significant (HR: 1.18; 95% CI: 0.67 to 2.09). In the 243 matched pairs of patients with end-stage renal disease on hemodialysis, PCI was associated with significantly higher risk of death (HR: 2.02; 95% CI: 1.40 to 2.93) and repeat revascularization (HR: 2.44; 95% CI: 1.50 to 3.96) compared with CABG.ConclusionsIn patients with CKD, CABG is associated with higher short-term risk of death, stroke, and repeat revascularization, whereas PCI with everolimus-eluting stents is associated with a higher long-term risk of repeat revascularization and perhaps MI, with no long-term mortality difference. In the subgroup on dialysis, the results favored CABG over PCI.

The study sought to assess the quality of care for heart failure patients who are hospitalized for all causes.

SPIRIT Checklist. (DOC 123 kb)

SPIRIT Checklist. (DOC 123 kb)