Faculty Bibliography

BACKGROUND: Many hospitalized patients have at least 1 chronic disease that is not optimally controlled. The purpose of this study was to explore inpatient provider attitudes about chronic disease management and, in particular, barriers and facilitators of chronic disease management in the hospital. METHODS: We conducted a qualitative study of semi-structured interviews of 31 inpatient providers from an academic medical center. We interviewed attending physicians, resident physicians, physician assistants, and nurse practitioners from various specialties about attitudes, experiences with, and barriers and facilitators towards chronic disease management in the hospital. Qualitative data were analyzed using constant comparative analysis. RESULTS: Providers perceived that hospitalizations offer an opportunity to improve chronic disease management, as patients are evaluated by a new care team and observed in a controlled environment. Providers perceived clinical benefits to in-hospital chronic care, including improvements in readmission and length of stay, but expressed concerns for risks related to adverse events and distraction from the acute problem. Barriers included provider lack of comfort with managing chronic diseases, poor communication between inpatient and outpatient providers, and hospital-system focus on patient discharge. A strong relationship with the outpatient provider and involvement of specialists were facilitators of inpatient chronic disease management. CONCLUSIONS: Providers perceived benefits to in-hospital chronic disease management for both processes of care and clinical outcomes. Efforts to increase inpatient chronic disease management will need to overcome barriers in multiple domains. Journal of Hospital Medicine 2017;12:162-167.

Importance: Accurate, real-time case identification is needed to target interventions to improve quality and outcomes for hospitalized patients with heart failure. Problem lists may be useful for case identification but are often inaccurate or incomplete. Machine-learning approaches may improve accuracy of identification but can be limited by complexity of implementation. Objective: To develop algorithms that use readily available clinical data to identify patients with heart failure while in the hospital. Design, Setting, and Participants: We performed a retrospective study of hospitalizations at an academic medical center. Hospitalizations for patients 18 years or older who were admitted after January 1, 2013, and discharged before February 28, 2015, were included. From a random 75% sample of hospitalizations, we developed 5 algorithms for heart failure identification using electronic health record data: (1) heart failure on problem list; (2) presence of at least 1 of 3 characteristics: heart failure on problem list, inpatient loop diuretic, or brain natriuretic peptide level of 500 pg/mL or higher; (3) logistic regression of 30 clinically relevant structured data elements; (4) machine-learning approach using unstructured notes; and (5) machine-learning approach using structured and unstructured data. Main Outcomes and Measures: Heart failure diagnosis based on discharge diagnosis and physician review of sampled medical records. Results: A total of 47119 hospitalizations were included in this study (mean [SD] age, 60.9 [18.15] years; 23 952 female [50.8%], 5258 black/African American [11.2%], and 3667 Hispanic/Latino [7.8%] patients). Of these hospitalizations, 6549 (13.9%) had a discharge diagnosis of heart failure. Inclusion of heart failure on the problem list (algorithm 1) had a sensitivity of 0.40 and a positive predictive value (PPV) of 0.96 for heart failure identification. Algorithm 2 improved sensitivity to 0.77 at the expense of a PPV of 0.64. Algorithms 3, 4, and 5 had areas under the receiver operating characteristic curves of 0.953, 0.969, and 0.974, respectively. With a PPV of 0.9, these algorithms had associated sensitivities of 0.68, 0.77, and 0.83, respectively. Conclusions and Relevance: The problem list is insufficient for real-time identification of hospitalized patients with heart failure. The high predictive accuracy of machine learning using free text demonstrates that support of such analytics in future electronic health record systems can improve cohort identification.

OBJECTIVES: This study sought to determine whether racial and ethnic differences exist among patients with similar access to care. We examined outcomes after heart failure hospitalization within a large municipal health system. BACKGROUND: Racial and ethnic disparities in heart failure outcomes are present in administrative data, and one explanation is differential access to care. METHODS: We performed a retrospective cohort study of 8,532 hospitalizations of adults with heart failure at 11 hospitals in New York City from 2007 to 2010. Primary exposure was ethnicity and race, and outcomes were 30- and 90-day readmission and 30-day and 1-year mortality rates. Generalized estimating equations were used to test for associations between ethnicity and race and outcomes with covariate adjustment. RESULTS: Of the number of hospitalizations included, 4,305 (51%) were for blacks, 2,449 (29%) were for Hispanics, 1,494 (18%) were for whites, and 284 (3%) were for Asians. Compared to whites, blacks and Asians had lower 1-year mortality, with adjusted odds ratios (aORs) of 0.75 (95% confidence interval [CI]: 0.59 to 0.94) and 0.57 (95% CI: 0.38 to 0.85), respectively, and rates for Hispanics were not significantly different (aOR: 0.81; 95% CI: 0.64 to 1.03). Hispanics had higher odds of readmission than whites (aOR: 1.27; 95% CI: 1.03 to 1.57) at 30 (aOR: 1.40; 95% CI: 1.15 to 1.70) and 90 days. Blacks had higher odds of readmission than whites at 90 days (aOR:1.21; 95% CI: 1.01 to 1.47). CONCLUSIONS: Racial and ethnic differences in outcomes after heart failure hospitalization were present within a large municipal health system. Access to a municipal health system may not be sufficient to eliminate disparities in heart failure outcomes.

Importance: Reduced rates of cardiac catheterization, percutaneous coronary intervention (PCI), and coronary artery bypass graft (CABG) are an unintended consequence of public reporting of cardiogenic shock outcomes in New York. Objectives: To evaluate whether the referral rates for cardiac catheterization, PCI, or CABG have improved in New York since cardiogenic shock was excluded from public reporting in 2008 and compare them with corresponding rates in Michigan, New Jersey, and California. Design, Setting, and Participants: Patients with cardiogenic shock complicating acute myocardial infarction from 2002 to 2011 were identified using the National Inpatient Sample. Propensity score matching was used to assemble a cohort of patients with cardiogenic shock with similar baseline characteristics in New York and Michigan. Main Outcomes and Measures: Percutaneous coronary intervention (primary outcome), invasive management (cardiac catheterization, PCI, or CABG), revascularization (PCI or CABG), and CABG were evaluated with reference to 3 calendar year periods: 2002-2005 (time 1: cardiogenic shock included in publicly reported outcomes), 2006-2007 (time 2: cardiogenic shock excluded on a trial basis), and 2008 and thereafter (time 3: cardiogenic shock excluded permanently) in New York and compared with Michigan. Results: Among 2126 propensity score-matched patients representing 10795 (weighted) patients with myocardial infarction complicated by cardiogenic shock in New York and Michigan, 905 (42.6%) were women and mean (SE) age was 69.5 (0.3) years. A significantly higher proportion of the patients underwent PCI (time 1 vs 2 vs 3: 31.1% vs 39.8% vs 40.7% [OR, 1.50; 95% CI, 1.12-2.01; P = .005 for time 3 vs 1]), invasive management (time 1 vs 2 vs 3: 59.7% vs 70.9% vs 73.8% [OR, 1.84; 95% CI, 1.37-2.47; P < .001 for time 3 vs 1]), or revascularization (43.1% vs 55.9% vs 56.3% [OR, 1.66; 95% CI, 1.26-2.20; P < .001 for time 3 vs 1]) after the exclusion of cardiogenic shock from public reporting in New York. However, during the same periods, a greater proportion of patients underwent PCI (time 1 vs 2 vs 3: 41.2% vs 52.6% vs 57.8% [OR, 1.93; 95% CI, 1.45-2.56; P < .001 for time 3 vs 1]), invasive management (time 1 vs 2 vs 3: 64.4% vs 80.5% vs 78.6% [OR, 2.01; 95% CI, 1.47-2.74; P < .001 for time 3 vs 1]), or revascularization (51.2% vs 65.8% vs 68.0% [OR, 2.00; 95% CI, 1.50-2.66; P < .001 for times 3 vs 1]) in Michigan. Results were largely similar in several sensitivity analyses comparing New York with New Jersey or California. Conclusions and Relevance: Although the rates of PCI, invasive management, and revascularization have increased substantially after the exclusion of cardiogenic shock from public reporting in New York, these rates remain consistently lower than those observed in other states without public reporting.

STUDY OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

BACKGROUND: -Guidelines recommend coronary artery bypass graft surgery (CABG) over percutaneous coronary intervention (PCI) for multivessel disease and severe left ventricular (LV) systolic dysfunction. However, CABG has not been compared with PCI in such patients in randomized trials. METHODS AND RESULTS: -Patients with multivessel disease and severe LV systolic dysfunction (ejection fraction