acase@tulane.edu / 1 / Yongkang Zhang

Accountable care units (ACU-?¢) provide a new model for integrated patient care. The ACU-?¢ promotes patient centeredness in nursing units as team members work collaboratively with physicians to improve patient outcomes and reduce unwarranted variations. A health system in the southeastern United States incorporated the ACU-?¢ as part of their care model. These units were held accountable for their clinical, service, and cost outcomes but lacked a validation process to demonstrate the effective utilization of their data. The purpose of this DNP project was to create a patient centered care (PCC) certification process, guided by the Donabedian model, that would provide hospital units the opportunity to access their process and quality improvement outcome data and to improve patient care. For this project, 12- key individuals were interviewed to gain their perspectives and input on the development and implementation of the PCC certification process. Results from the interviews were compiled and reviewed for common themes, which included Magnet-?¢ recognition, patient experience, current unit goals, and hospital strategic plan. Using the results of the interviews, a PCC certification procedure was created to outline the steps required to achieve certification; and, an application was developed to provide a standard format for quality and process improvement projects and associated outcomes reporting. The certification procedure will be implemented in the health system in the next fiscal year. Evaluation of the effectiveness of the program and future refinement will be controlled by the Nursing Shared Governance. The project may promote positive social change as the staff nurses on the individual units use the unit metrics to improve patient outcomes and reduce variations in care.

In 2011, Medicare patients represented the largest share of total readmissions and health costs when compared to all other patient categories. Because patient-centered care drives the use of health services, the U.S. Patient Protection and Affordable Care Act outlined improving the patient experience to reduce readmission rates; however, the relationship between patient experience and readmissions is not well understood. Grounded in systems theory, the purpose of this correlational study was to determine if the relationship between patient experience and readmission rates in Medicare Shared Savings Program accountable care organizations. Data from the Consumer Assessment of Healthcare Providers and Systems survey were gathered from the Centers for Medicare and Medicaid datasets to analyze patient experience measurements and readmission rates, while accounting for variation among Medicare service regions, number of assigned beneficiaries, and performance year. Using multiple linear regression to analyze the data, the model was used to predict Medicare's all-condition readmission rate (per 1000), R-²= .242, F (13, 634) 15.59, p < .001. The research question was answered partially; variation in the patient experience domain did not support all hypotheses. Because the Medicare population represents the fastest growing patient population within the U.S. health care system, continuous evaluation of policy and performance provides an evidence-based analysis to health administrators and providers who have pivotal roles in the creation of positive social change. Findings may be used to improve quality and service while reducing costs, which contributes to the sustainability of the U.S. Medicare program and its beneficiary population.

The purpose of this practice inquiry project is to create a model for implementing an outpatient palliative care clinic within an organization of healthcare providers who participate in shared savings for Medicare patients, also known as, an accountable care organization (ACO). The goal of this project is that it can be used by future health care administrators to successfully create and implement an outpatient palliative care clinic. The philosophical nursing foundation for palliative care is discussed to set the groundwork for the model proposed. The benefits of palliative care nursing for patients, families and the ACO are discussed to support the importance of opening an outpatient palliative care clinic. A step by step model has been developed and presented on how to plan and implement an outpatient palliative care program. Tools have been proposed to help successfully and effectively create, implement and evaluate outpatient palliative care clinics within an ACO.

Background: The United States health care system faces two fundamental challenges: a high growth rate of health care spending and deficiencies in quality of care. The growth rate of health care spending is the dominant driver of our nation’s long-term federal debt, while the inconsistent quality of care hinders the ability of the health care system to maximize value for patients. To address both of these challenges, public and private payers are increasingly changing the way they pay providers—moving away from fee-for-service towards global payment contracts for groups of providers coming together as accountable care organizations. This thesis evaluates the change in health care spending and in quality of care associated with moving to global payment for accountable care organizations in Massachusetts in the first 4 years. This thesis studies the Blue Cross Blue Shield of Massachusetts Alternative Quality Contract (AQC), a global payment contract that provider organizations in Massachusetts began to enter in 2009. The AQC pays provider organizations a risk-adjusted global budget for the entire continuum of care for a defined population of enrollees insured by Blue Cross Blue Shield of Massachusetts. It also awards substantial pay-for-performance incentives for organizations meeting performance thresholds on quality measures. This work assesses its effect on spending and quality through the first 4 years of the contract. Methods: Enrollee-level claims data from 2006-2012 were used with a difference-in-differences design to evaluate the changes in spending and quality associated with the Alternative Quality Contract over the first 4 years. The study population consisted of enrollees in Blue Cross Blue Shield of Massachusetts plans (intervention group) and enrollees in commercial employer-sponsored plans across 5 comparison states (control group). Unadjusted and adjusted results are reported for each comparison between intervention and control. Changes in spending for all 4 AQC cohorts relative to control were evaluated. In adjusted analyses of spending, I used a multivariate linear model at the enrollee-quarter level, controlling for age, sex, risk score, indicators for intervention, quarters of the study period, the post-intervention period, and the appropriate interactions. For analyses of quality, an analogous model at the enrollee-year level was used. Process and outcome quality were evaluated. Results: Seven provider organizations joined the AQC in 2009, with a total of 490,167 individuals who were enrolled for at least 1 calendar year in the study period. The control group had 966,813 unique individuals enrolled for at least 1 year during the study period. Average age, sex, and risk scores before and after the AQC were similar between the two groups. In the 2009 cohort, claims spending grew on average $62.21 per enrollee per quarter less than control over 4 years (p<0.001), a 6.8% savings. Analogously, the 2010, 2011, and 2012 cohorts had average savings of 8.8% (p<0.001), 9.1% (p<0.001), and 5.8% (p=0.04), respectively, by the end of 2012. Savings on claims were concentrated in the outpatient facility setting, specifically procedures, imaging, and tests (8.7%, 10.9%, and 9.7%, respectively, p<0.001). Organizations with and without risk-contracting experience saw similar average savings of 6.3% and 7.7%, respectively, over 4 years (p<0.001). About 40% of savings were explained by lower volume. Pre-intervention trends were not statistically different between intervention and control (-$4.57, p=0.86), suggesting savings were not driven by inherently different trajectories of spending. No differences in coding intensity were found. In sensitivity analyses, estimates were robust to alterations in the model, variables, and sample. Notably, claims savings were exceeded by incentive payments to providers (shared savings and quality bonuses) in 2009-2011, but exceeded incentives payments in 2012, generating net savings. Improvements in quality among intervention cohorts generally exceeded New England and national comparisons. Quality performance on chronic care measures increased from 79.6% pre-intervention to 84.5% post-intervention in the 2009 cohort, compared to 79.8% to 80.8% for the HEDIS national average, a 3.9 percentage-point relative increase over the 4 years. Analogously, preventive care and pediatric care measures increased 2.7 and 2.4 percentage points relative to control, respectively. On outcome measures, achievement of hemoglobin A1c, LDL cholesterol, and blood pressure control grew by 2.1 percentage points per year in the 2009 cohort after the AQC, while HEDIS averages remained largely unchanged (Figure). Conclusion: After 4 years, physician organizations in the AQC had lower spending growth relative to control and generally outperformed national averages on quality measures. Shared savings coupled with quality bonuses can exceed savings on claims in initial years, but over time, savings on claims may outgrow incentive payments. Incentive payments themselves may serve meaningful purposes, as quality measures may protect against stinting and shared savings may help ease providers into risk contracts. Changes in utilization suggest that this payment model can help modify underlying care patterns, a likely prerequisite for sustainable reform. The AQC experience may be useful to policymakers, insurers, and providers embarking on payment reform. Combining global budgets with pay-for- performance may encourage organizations to embark on the delivery system reforms necessary to slow spending and improve quality.

No description available.

This is a quantitative study of archival data that examines Merger and Acquisition (M&A) activity using currently established healthcare quality and financial performance metrics. The research seeks to explicate the relationship between M&A activity and M&A experience in the healthcare industry as it relates to initiatives aimed at improving the quality and decreasing the cost of healthcare. The Affordable Care Act (ACA) legislation appears to be contributing to a trend toward M&A consolidation; by illuminating how this trend potentially impacts healthcare quality and cost reduction initiatives, this study’s contribution is both useful and practical. The units of analysis are Medicare reporting hospitals, hospital systems, and related healthcare providers that have or have not experienced an M&A or multiple M&As. The study shows a statistically significant improvement in quality each year from 2006–2014, which is reflected in higher scores for the four quality metrics measured. M&A activity, as measured by acquisition status and acquirer experience, did not appear to influence these quality metrics, with the exception of the heart failure measure, which showed a statistically significant positive influence of acquirer experience across all specifications. M&A activity’s possible effects on hospital financial performance was assessed through operating-cost-to-charge and capital-cost-to-charge ratios (CCRs). The operating CCR appears to be positively influenced by both acquisition status and acquirer experience, while the capital CCR was positively influenced only by acquirer experience. A positive influence is reflected in a decreasing ratio. Results on quality improvement over time, both before and after the ACA, suggest that the ACA itself may not be the driver for quality improvement. Similarly, decreases in OCCR occurred consistently and statistically significantly over time, both pre- and post-ACA, while CCCR showed statistically significant decreases in 2006–2008, 2013, and 2014. These results appear to support the notion that the trend was ongoing before the ACA was enacted and gave these measures high-profile exposure. This is a quantitative study of archival data that examines Merger and Acquisition (M&A) activity using currently established healthcare quality and financial performance metrics. The research seeks to explicate the relationship between M&A activity and M&A experience in the healthcare industry as it relates to initiatives aimed at improving the quality and decreasing the cost of healthcare. The Affordable Care Act (ACA) legislation appears to be contributing to a trend toward M&A consolidation; by illuminating how this trend potentially impacts healthcare quality and cost reduction initiatives, this study’s contribution is both useful and practical. The units of analysis are Medicare reporting hospitals, hospital systems, and related healthcare providers that have or have not experienced an M&A or multiple M&As. The study shows a statistically significant improvement in quality each year from 2006–2014, which is reflected in higher scores for the four quality metrics measured. M&A activity, as measured by acquisition status and acquirer experience, did not appear to influence these quality metrics, with the exception of the heart failure measure, which showed a statistically significant positive influence of acquirer experience across all specifications. M&A activity’s possible effects on hospital financial performance was assessed through operating-cost-to-charge and capital-cost-to-charge ratios (CCRs). The operating CCR appears to be positively influenced by both acquisition status and acquirer experience, while the capital CCR was positively influenced only by acquirer experience. A positive influence is reflected in a decreasing ratio. Results on quality improvement over time, both before and after the ACA, suggest that the ACA itself may not be the driver for quality improvement. Similarly, decreases in OCCR occurred consistently and statistically significantly over time, both pre- and post-ACA, while CCCR showed statistically significant decreases in 2006–2008, 2013, and 2014. These results appear to support the notion that the trend was ongoing before the ACA was enacted and gave these measures high-profile exposure.

The purpose of this study is to explore differences in quality between Medicare Accountable Care Organizations (ACO) and Health Maintenance Organizations (HMO). Three outcomes measures reported by these plans use different methodologies but possess enough alignment to permit comparison: percent of diabetic patients with last HbA1c > 9.0%, colon cancer screening rate and ER visits per 1,000. These outcomes are the dependent variables (DV). A secondary purpose is to explore differences in quality based on the size of the beneficiary population served, using the same measures. As the Medicare program faces threats to its solvency in coming decades, with 10,000 baby boomers becoming eligible every day, and the ongoing national conversation about healthcare more generally, approaches to Value-Based Purchasing (VBP) are becoming more common. Organizations seeking to identify the types of VBP arrangements in which they should enter have precious little information on the comparative performance of VBP approaches relative to outcomes measures. Different structures create different incentives through the plan design and risk/reward. The convergence or dissipation of the plan incentives at the level of the provider, particularly in primary care, may be a source of variance. This study is retrospective, non-experimental, and uses publicly available data on the performance of Medicare ACO and HMO plans in calendar year 2015, for the identified measures. Using the Donabedian Structure-Process-Outcome framework, this study explores the impact of structure by type of plan and size of population served, relative to the outcomes. Race, average Hierarchical Condition Category (HCC) risk score and duration of operations are control variables. The analysis uses multiple hierarchical regression to better understand the relationship between the independent variables (IV) and DVs, after the impact of the control variables (CV). After controls, the IVs did offer some explanation of variation in outcomes. The ACO plans fared better on HbA1c control, while HMO plans had fewer ER visits per 1,000. No discernable difference existed between the HMO and ACO plans with regard to colon cancer screening rate. Serving larger populations led to better performance on all three measures. In general performance was worse on each measure in both models when the percent of not-White patients or average HCC risk score increased. A longer duration of operations also associated to better performance on the outcome measures.

Accountable care organizations (ACOs) are a new health care reform initiative that has been highlighted as one of the most important organizational structures that could lead to quality improvements and cost savings in the United States through shared savings. The inability of health care managers to successfully implement ACOs could result in financial losses, reduced patient access to health care, and poor patient outcomes. Grounded by von Bertanlaffy's general systems theory, the purpose of this multiple case study was to explore the system change strategies health care managers used to implement an ACO to meet ACO quality and cost standards. Health care managers from Arizona, New York, and Wisconsin who successfully implemented ACO system change strategies in their organizations comprised the population for this study. Data were collected through face-to-face semistructured interviews with 9 health care managers. Data were analyzed using methodological triangulation, thematic analysis, and Yin's 5 analytic techniques to identify patterns and themes. Three main themes resulted from the data analysis and included leaders with system change strategies improved successful ACO implementation, leaders who implemented health information technology improved successful ACO implementation, and leaders with care management system change strategies improved successful ACO implementation. The application of the findings from this study may contribute to positive social change because health care managers may use these system change strategies to successfully implement ACOs to improve patient care and access and reduce the financial burden of health care costs throughout the United States.

Amidst mounting federal debt, slowing the growth of health care spending is one of the nation’s top domestic priorities. This dissertation evaluates three current policy ideas: (1) global payment within an accountable care contracting model, (2) physician fee cuts, and (3) expanding the role of competitive bidding in Medicare. Chapter one studies the effect of global payment and pay-for-performance on health care spending and quality in accountable care organizations. I evaluate the Blue Cross Blue Shield of Massachusetts Alternative Quality Contract (AQC), which was implemented in 2009 with seven provider organizations comprising 380,000 enrollees. Using claims and quality data in a quasi-experimental difference-in-differences design, I find that the AQC was associated with a 1.9 percent reduction in medical spending and modest improvements in quality of chronic care management and pediatric care in year one. Chapter two studies Medicare’s elimination of payments for consultations in the 2010 Medicare Physician Fee Schedule. This targeted fee cut (largely to specialists) was accompanied by a fee increase for office visits (billed more often by primary care physicians). Using claims data for 2.2 million Medicare beneficiaries, I test for discontinuities in spending, volume, and coding of outpatient physician encounters with an interrupted time series design. I find that spending on physician encounters increased 6 percent after the policy, largely due to a coding effect and higher office visit fees. Slightly more than half of the increase was accounted for by primary care physician visits, with the rest by specialist visits. Chapter three examines competitive bidding, which is at the center of several proposals to reform Medicare into a premium support program. In competitive bidding, private plans submit prices (bids) they are willing to accept to insure a Medicare beneficiary. In perfect competition, plans bid costs and thus bids are insensitive to the benchmark. Under imperfect competition, bids may move with the benchmark. I study the effect of benchmark changes on plan bids using Medicare Advantage data in a longitudinal market-level model. I find that a $1 increase in the benchmark leads to about a $0.50 increase in bids among Medicare managed care plans.