Expansion of Insurance Under the Affordable Care Act and Invasive Management of Acute Myocardial Infarction.

BACKGROUND: The Affordable Care Act of 2010 extended health insurance through expansion of Medicaid and subsidies for commercial insurance. Prior work has produced differing results in associating expanded insurance with improvements in health care processes and outcomes. Evaluating specific mechanisms of care processes and their association with insurance expansion may help reconcile those results. METHODS AND RESULTS: We used inpatient hospitalization data in the Nationwide Inpatient Sample (NIS) Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality from 1/1/2008 to 9/30/2015. We included all hospitalizations for acute myocardial infarction (AMI). As a primary outcome, we defined percent rate of AMI hospitalizations receiving percutaneous coronary intervention (PCI) per month. In the non-Medicare (intervention) group, there was a relative decrease of 0.2% of the monthly trend before and after expansion (95% CI [-0.3%, -0.1%]). In the Medicare group, there was a relative decrease of 0.1% of the monthly trend before and after expansion (95% CI [-0.2%, 0%]). CONCLUSIONS: We did not detect a relative difference in PCI for AMI associated with insurance expansion under health reform.

Potential impact of hospital at home on postoperative readmissions.

OBJECTIVES: Hospital at home (HAH) is a health care delivery model that substitutes hospital-level services in the home for inpatient hospitalizations. HAH has been shown to be safe and effective for medical patients but has not been investigated in surgical readmissions. We estimated the potential impact of an HAH program for patients readmitted within 60 days postoperatively and described the characteristics of eligible patients to aid in the design of future programs. STUDY DESIGN: This was a cross-sectional study of 60-day postoperative readmissions at a tertiary care center in 2018. METHODS: We identified the number of readmissions that may have been eligible for HAH, collected descriptive information, and estimated the financial margin that could have been generated had eligible readmissions been diverted to HAH. RESULTS: There were 2366 readmissions within 60 days of surgery in 2018. A total of 731 readmissions met inclusion criteria for HAH (30.1%), accounting for 4152 bed days. Of these readmissions, the most common diagnoses were infection, gastrointestinal complications, and cardiac complications. Patients' home addresses were within 16 miles of the hospital in 447 cases (61.1%). Avoidance of these readmissions and use of the beds for new admissions represented a potential backfill margin of $8.8 million, not incorporating the cost of HAH. CONCLUSIONS: Many 60-day postoperative readmissions may be amenable to HAH enrollment, representing a significant opportunity to improve patient experience and generate hospital revenue. This is of particular interest in the post-COVID-19 era. To maximize their impact, HAH programs should tailor clinical and operational services to this population.

Evaluation of Hospitalizations Preventable with Idealized Outpatient Care and Continuity of Care.

BACKGROUND: Unnecessary hospitalizations may pose the risk of iatrogenic complications, suboptimal patient experience, and increased cost. Administrative data lack granularity to understand the proportion and causes of hospitalizations preventable through optimizing care continuum (HPOCC). We aim to identify the incidence and causes of HPOCC through clinician-adjudicated chart review. METHODS: A retrospective review was performed for inpatient admissions from the emergency department (ED) over 1 week. Each admission was reviewed by a clinician to determine whether it is an HPOCC defined as not requiring inpatient care with the assumption of idealized outpatient care and social support. RESULTS: Of the 515 patients admitted from the ED, 31 (6.0%) patients were judged to have had an HPOCC. Causes of HPOCC include urgent diagnostics (9, 29.0%), unnecessary transfer from a long-term facility (7, 23.0%), needing IV therapy (5, 16.0%), benign incidental finding (5, 16.0%), diagnostic uncertainty in complex chronic illness (3, 10.0%), and lack of access to care for disposition (2, 6.0%). CONCLUSION: Hospitalizations preventable through optimizing care continuum account for about 1 in every 15 hospitalizations in an urban academic medical center. The need for urgent diagnostics accounts for a plurality of HPOCC and could be an important target for quality improvement.

Association of an Acute Myocardial Infarction Readmission-Reduction Program With Mortality and Readmission.

BACKGROUND: Reducing hospital readmission after acute myocardial infarction (AMI) has the potential to both improve quality and reduce costs. As such, readmission after AMI has been a target of financial penalties through Medicare. However, substantial concern exists about potential adverse effects and efficacious readmission-reduction strategies are not well validated. METHODS AND RESULTS: We started an AMI readmissions reduction program in November 2017. Between July 2016 and February 2019, hospital billing data were queried to detect all inpatient hospitalizations at the Massachusetts General Hospital for AMI. Thirty-day readmission was identified through hospital billing data, and mortality was extracted from our electronic health record. The data set was merged with claims data for patients in accountable care organizations to detect readmission at other hospitals. We performed segmented linear regression, adjusting for secular trend and case mix, to assess the independent association of our program on both outcome variables. After inclusion and exclusion criteria were applied, the study population included 2020 patients. The overall 30-day readmission rate was higher before the intervention than after the intervention (15.5% versus 10.7%, P=0.002). The overall 30-day mortality rate was similar in both time periods (1.8% versus 1.4%, P=0.457). The program was associated with initial reduction in 30-day readmission (-9.8%, P=0.0002) and 30-day mortality (-2.6%, P=0.041). The program did not change trend in 30-day readmission (+0.19% readmissions/mo, P=0.554) and trend in 30-day mortality (-0.21% deaths/mo, P=0.119). CONCLUSIONS: An AMI readmissions reduction program that increases outpatient and emergency department (ED) access to cardiology care is associated with reduced 30-day readmission and 30-day mortality. Similar statistical techniques can be used to conduct a rigorous, mechanistic program evaluation of other quality improvement initiatives.

Physician Burnout, Engagement and Career Satisfaction in a Large Academic Medical Practice.

OBJECTIVE: To determine (1) if engagement among physicians impacted plans to stay in current role and job satisfaction, (2) what factors impact engagement and burnout, and (3) the relationship between engagement and burnout. Burnout has been described as a syndrome characterized by depersonalization, emotional exhaustion, and a sense of low personal accomplishment resulting in decreased effectiveness at work. Engagement may be regarded as the antonym to burnout and has been described as a connection to one's work characterized by dedication, vigor, and absorption. DESIGN: We extracted data from an academic practice-wide survey conducted at two time-points and evaluated physician burnout and engagement. We used the Maslach Burnout Inventory and the Utrecht Work Engagement Scale to evaluate the association between burnout and engagement and the impact of engagement on mitigating the effect of burnout in a large physician academic faculty practice. SETTING: Large academic practice PARTICIPANTS: Academic physicians METHODS: The authors conducted a hospital-wide physician practice survey in 2014 and 2017 assessing physician burnout and engagement. RESULTS: Of eligible physicians (n=1882), 92.0% completed a survey. High levels of engagement and burnout were shown in 59.5% and 45.6%, respectively. Compared to physicians with high levels of engagement and low levels of burnout, physicians with low engagement and low burnout were less satisfied with their career (OR=0.20, 95% CI=0.11-0.35) and less likely to stay in their current role (OR=0.52, 95% CI= 0.37-0.73). Among physicians with high levels of burnout, highly engaged physicians were more satisfied (OR=0.21; 95% CI=0.12-0.36 vs OR=0.08; 95% CI=0.05-0.12) and more likely to stay in their career (OR=0.34; 95% CI=0.25-0.45 vs OR=0.27; 95% CI=0.21-0.34) than non-engaged physicians. CONCLUSION: Engaged physicians have higher career satisfaction. There are many actionable ways to improve engagement.

Predictors of MRI Leakage Among Patients Attributed to an Academic Medical Center Commercial Risk-Shared Insurance Contract.

PURPOSE: For health care organizations engaged in risk-shared insurance contracts, leakage of advanced diagnostic imaging to imaging sites not affiliated with the risk-sharing organization may undermine performance on financial and quality metrics. The goal of this study was to identify factors that are predictive of leakage of MRI examinations among patients attributed to an academic health care organization's risk-shared commercial insurance contract. METHODS: Administrative claims data from 2015 through 2016 for patients attributed to a single risk-shared commercial insurance contract at a large academic medical center (AMC) were analyzed. Primary outcome was MRI leakage: an outpatient MRI study performed at a site not affiliated with the AMC's integrated health care system. Ordering provider alignment with the AMC's risk-shared insurance contract was categorized as strong, weak, or none. Multivariate regression analyses were conducted to evaluate the relationship between provider alignment and MRI leakage, while adjusting for selected covariates. RESULTS: Among 8,215 patients meeting inclusion criteria, there were 13,272 MRI encounters. The overall proportion of leaked MRI studies was 12.7%. MRI studies ordered by providers with weak AMC alignment (odds ratio, 3.16; 95% confidence interval, 2.49-4.02) or no AMC alignment (odds ratio, 3.68; 95% confidence interval, 3.12-4.33) were more likely to leak than MRI studies ordered by providers with strong AMC alignment. CONCLUSIONS: An ordering provider with no alignment with an AMC's commercial risk-shared insurance contract was the strongest predictor of MRI leakage. Population health management initiatives aimed at reducing leakage should consider the impact of provider networks and clinical referral patterns that drive imaging utilization.

The Business Case for Population Health Management.

American health care is shifting from a fixed-cost, fee-for-service payment model to value-based payment, in which providers including physicians and hospitals increasingly face incentives to reduce the total cost of care and meet specific quality benchmarks. Leaders of organizations that pay for health care and employers have encouraged this shift in response to substantial increases in health care costs and generally mediocre health outcomes compared with other countries. Here, we make the case that although the pace and details of such payment reforms are uncertain, these underlying structural economic challenges make a transition to some sort of value-based care inevitable.

Physician-initiated payment reform: a new path toward value.

OBJECTIVES: In the move toward value-based payment, new payment models have largely been designed by payers and focused on the role of primary care providers. We examine a new phase of payment reform wherein providers, mostly specialists, are designing alternative payment models (APMs) for their own practices through a task force, called the Physician-Focused Payment Model Technical Advisory Committee, created by the Medicare Access and CHIP Reauthorization Act of 2015. Although it is a potentially notable shift in payment reform, little is known about the content of these proposals to date. STUDY DESIGN: Qualitative systematic review of physician-focused payment model proposals submitted to CMS. METHODS: We analyzed the first wave of new payment models proposed. For each of the 24 proposals submitted by physicians and physician groups, we assessed the models on their 10 key dimensions and evaluated underlying themes across all or many of the models to gain insights into what providers are looking for in APMs within the constraints of the rules established by the HHS secretary. RESULTS: Key features of the models and our analysis include bearing financial risk, a reliance on case management, embrace of new technologies, and consideration of legal barriers. CONCLUSIONS: We discuss how specialists may help lead in the evolving payment landscape and recommend how these models might be improved. Payers and policy makers could benefit from our findings, which reflect how providers view financial risk in APMs and provide guidance on the types of payment reforms that they may embrace in the journey toward value.

Trends and Factors Associated With Physician Burnout at a Multispecialty Academic Faculty Practice Organization.

Importance: Physician burnout is common, and prevalence may differ throughout a clinician's career. Burnout has negative consequences for physician wellness, patient care, and the health care system. Identifying factors associated with burnout is critical in designing and implementing initiatives to reduce burnout. Objective: To measure trends and identify factors associated with physician burnout. Design, Setting, and Participants: Survey study conducted from May 16 to June 15, 2014, and again from May 16 to June 15, 2017, measuring rates of physician burnout in a large academic medical practice. Factors associated with burnout out were evaluated. In 2014, 1774 of 1850 eligible physicians (95.9%) completed the survey. In 2017, 1882 of 2031 (92.7%) completed the survey. Exposures: Medical specialty, demographic characteristics, years in practice, and reported rates of burnout. Main Outcomes and Measures: Burnout rates measured at 2 points and risk factors associated with burnout. Results: Respondents included 1027 men (57.9%) and 747 women (42.1%) in 2014 and 962 men (51.1%) and 759 women (40.3%) in 2017. The mean (SD) number of years since training completion was 15.3 (11.3) in the 2014 survey data and 15.1 (11.3) in the 2017 data. Burnout increased from 40.6% to 45.6% between the 2 points. The increased rate was associated with an increase in exhaustion (from 52.9% in 2014 to 57.7% in 2017; difference, 4.8%; 95% CI, 1.6%-8.0%; P = .004) and cynicism (from 44.8% in 2014 to 51.1% in 2017; difference, 6.3%; 95% CI, 3.1%-9.6%; P < .001). Compared with midcareer physicians (11-20 years since training), early-career physicians (≤10 years since training) were more susceptible to burnout (odds ratio, 1.36; 95% CI, 1.05-1.77), while physicians in their late career (>30 years since training) were less vulnerable (odds ratio, 0.59; 95% CI, 0.40-0.88). Conclusions and Relevance: Efforts to alleviate physician burnout and administrative burden require a combination of a shared commitment from physicians and organizations and central and locally implemented programs. Continued research is necessary to establish the most effective initiatives to decrease physician burnout at the individual and organizational level.

Measuring individual physician clinical productivity in an era of consolidated group practices.

BACKGROUND: As physician groups consolidate and value-based payment replaces traditional fee-for-service systems, physician practices have greater need to accurately measure individual physician clinical productivity within team-based systems. We compared methodologies to measure individual physician outpatient clinical productivity after adjustment for shared practice resources. METHODS: For cardiologists at our hospital between January 2015 and June 2016, we assessed productivity by examining completed patient visits per clinical session per week. Using mixed-effects models, we sequentially accounted for shared practice resources and underlying baseline characteristics. We compared mixed-effects and Generalized Estimating Equations (GEE) models using K-fold cross validation, and compared mixed-effect, GEE, and Data Envelopment Analysis (DEA) models based on ranking of physicians by productivity. RESULTS: A mixed-effects model adjusting for shared practice resources reduced variation in productivity among providers by 63% compared to an unadjusted model. Mixed-effects productivity rankings correlated strongly with GEE rankings (Spearman 0.99), but outperformed GEE on K-fold cross validation (root mean squared error 2.66 vs 3.02; mean absolute error 1.89 vs 2.20, respectively). Mixed-effects model rankings had moderate correlation with DEA model rankings (Spearman 0.692), though this improved upon exclusion of outliers (Spearman 0.755). CONCLUSIONS: Mixed-effects modeling accounts for significant variation in productivity secondary to shared practice resources, outperforms GEE in predictive power, and is less vulnerable to outliers than DEA. IMPLICATIONS: With mixed-effects regression analysis using otherwise easily accessible administrative data, practices can evaluate physician clinical productivity more fairly and make more informed management decisions on physician compensation and resource allocation.

e-Consults in gastroenterology: An opportunity for innovative care.

BACKGROUND AND AIM: Deploy and evaluate a gastroenterology (GI) electronic consultation (e-consult) program. E-consults are a promising approach to enhance provider communication, facilitate timely specialty advice and may replace some outpatient visits. STUDY: As part of our health system's efforts to provide more cost-effective care under risk-based contracts, we implemented an e-consult program where referring providers submit patient-specific clinical questions electronically via an electronic referral system. A GI consultant then reviews the patient's record and provides a written recommendation back to the referring physician. For our program evaluation, we conducted chart reviews of each e-consult to understand how the program was being used and surveyed the participating providers and consultants. RESULTS: From September 2015 to March 2016, we received 144 e-consults, with most questions concerning GI symptoms or abnormal hepatology labs. Only 36% of e-consults recommended an in-person GI consult or procedure. In our survey of participating providers, referring providers strongly agreed that the GI e-consults promoted good patient care (88%) and were satisfied with the program (84%). The majority of GI consultants felt strongly that e-consults were useful for referring providers and their patients, but that current reimbursement and time allotted were not adequate. CONCLUSIONS: We report on the implementation of a GI e-consult program within an ACO, showing that many clinical questions could be answered using this mechanism. E-consults in gastroenterology have the potential to reduce unnecessary visits and/or procedures for patients who can be managed by their primary provider, potentially increasing access for other patients.

Clinical Profile of Acute Myocardial Infarction Patients Included in the Hospital Readmissions Reduction Program.

Background Medicare's Hospital Readmissions Reduction Program assesses financial penalties to hospitals based on risk-standardized readmission rates after specific episodes of care, including acute myocardial infarction. Detailed information about the type of patients included in the penalty is unknown. Methods and Results Starting with administrative data from Medicare, we conducted physician-adjudicated chart reviews of all patients considered 30-day readmissions after acute myocardial infarction from July 2012 to June 2015. Of 197 readmissions, 68 (34.5%) received percutaneous coronary intervention and 18 (9.1%) underwent coronary artery bypass grafting on index hospitalization. The remaining 111 patients did not receive any intervention. Of the 197 patients, 56 patients (28.4%) were considered too high risk for invasive management, 23 (11.7%) had nonobstructive coronary artery disease on diagnostic catheterization and therefore no indication for revascularization, 19 patients had a type II myocardial infarction (9.6%) for which noninvasive, outpatient workup was recommended, and 13 (6.6%) declined further care. The most common readmission diagnoses were cardiac causes and noncardiac chest discomfort, infection, and gastrointestinal bleeding. Conclusions Our results demonstrate that more than a quarter of the patients included in the penalty do not receive revascularization either because of provider assessment of risk or patient preference, and nearly one tenth have type II myocardial infarction. As such, administrative codes for prohibitive procedural risk, patient-initiated "do not resuscitate" status, or type II myocardial infarction may improve the risk-adjustment of the metric. Furthermore, provider organizations seeking to reduce readmission rates should focus resources on the needs of these patients, such as care coordination, hospice services when requested by patients, and treatment of noncardiac conditions.