Access to cardiac surgery centers for cardiac and non-cardiac hospitalizations in adolescents and adults with congenital heart defects- a descriptive case series study.

BACKGROUND: Individuals with congenital heart defects (CHDs) are recommended to receive all inpatient cardiac and noncardiac care at facilities that can offer specialized care. We describe geographic accessibility to such centers in New York State and determine several factors associated with receiving care there. METHODS: We used inpatient hospitalization data from the Statewide Planning and Research Cooperative System (SPARCS) in New York State 2008-2013. In the absence of specific adult CHD care center designations during our study period, we identified pediatric/adult and adult-only cardiac surgery centers through the Cardiac Surgery Reporting System to estimate age-based specialized care. We calculated one-way drive and public transit time (in minutes) from residential address to centers using R gmapsdistance package and the Google Maps Distance Application Programming Interface (API). We calculated prevalence ratios using modified Poisson regression with model-based standard errors, fit with generalized estimating equations clustered at the hospital level and subclustered at the individual level. RESULTS: Individuals with CHDs were more likely to seek care at pediatric/adult or adult-only cardiac surgery centers if they had severe CHDs, private health insurance, higher severity of illness at encounter, a surgical procedure, cardiac encounter, and shorter drive time. These findings can be used to increase care receipt (especially for noncardiac care) at pediatric/adult or adult-only cardiac surgery centers, identify areas with limited access, and reduce disparities in access to specialized care among this high-risk population.

Risk stratification and secondary prevention post-myocardial infarction: insights from the EYESHOT Post-MI study.

AIMS: Clinical management of patients more than 1 year after acute myocardial infarction (MI) is challenging. Patient risk stratification may help to establish therapeutic priorities. We aimed to describe the comprehensive risk profile and management of patients with prior MI. METHODS: We analyzed data from the EYESHOT Post-MI study, which evaluated the management of patients 1-3 years after MI. The risk profile of participants was defined according to the qualifying high-risk features of the PEGASUS-TIMI 54 trial (history of diabetes, history of recurrent MI, angiographic evidence of multivessel coronary disease, chronic kidney disease with estimated glomerular filtration rate <60 ml/min, age ≥65 years). Patients were classified into five subgroups according to the presence of zero, one, two, three, or more than three features. RESULTS: Of the 1633 patients in the EYESHOT Post-MI study, 1008 could be stratified according to PEGASUS-TIMI 54 high-risk features. About 22% of patients had no high-risk features, whereas 25% showed at least three features. The prevalence of patients with specific clinical severity indicators was progressively higher with the increasing number of high-risk features. Dual antiplatelet therapy and oral anticoagulation were more frequently used in patients with an increasing number of high-risk features (P for trend <0.0001). Lipid-lowering therapies were less frequently prescribed in patients with a higher number of features (P for trend 0.006 for statins; P for trend 0.007 for ezetimibe). CONCLUSION: Higher-risk post-MI patients, identified by PEGASUS-TIMI 54 high-risk features, showed an increased prevalence of major clinical severity indicators. Secondary prevention therapies were not adequately implemented in higher-risk patients.

Why Did the ACA Co-Op Program Fail? Lessons for the Health Reform Debate.

The ACA created a new type of nonprofit health insurance entity, the "Consumer Operated and Oriented Plan" ("co-op"). Most of the newly created co-ops soon lost money, and only 4 of the original 23 remain. We interviewed key stakeholders and conducted in-depth case studies of 3 of these co-ops. We discovered that politicians and regulators made it unlikely the program could succeed, that most of the co-ops did not have the management capacity to overcome these political obstacles, and that even those with good managers lacked the needed fiscal resilience. We also considered lessons suggested for those proposing a newly created "public option." The main one is that a successful public option requires a supportive political environment, strong management, and significant fiscal capacity, none of which comes easily. A better route may be a quasi-public option in which the government subcontracts the operation of its newly created plan to a private firm. Although it is uncertain whether federal regulators have the capacity to hold such private for-profit firms accountable, pragmatism suggests that a combination of public-sector regulation and private-sector implementation may be the most direct path toward a US version of affordable universal coverage.

Endoscopy during the Covid-19 outbreak: experience and recommendations from a single center in a high-incidence scenario.

A dramatic SARS-Cov-2 outbreak is hitting Italy hard. To face the new scenario all the hospitals have been re-organised in order to reduce all the outpatient services and to devote almost all their personnel and resources to the management of Covid-19 patients. As a matter of fact, all the services have undergone a deep re-organization guided by: the necessity to reduce exams, to create an environment that helps reduce the virus spread, and to preserve the medical personnel from infection. In these days a re-organization of the endoscopic unit, sited in a high-incidence area, has been adopted, with changes to logistics, work organization and patients selection. With the present manuscript, we want to support gastroenterologists and endoscopists in the organization of a "new" endoscopy unit that responds to the "new" scenario, while remaining fully aware that resources, availability and local circumstances may extremely vary from unit to unit.

Analysis of situation of acute coronary syndrome based on the date of the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome (CCC-ACS) project: single-centre observational study.

BACKGROUND: We are currently faced with an increasing burden of cardiovascular disease in China and the inadequacy of the application of guidelines in clinical practice. In the past decade, China has been strengthening the healthcare system, but it still lacked a national performance measurement system and an appropriate quality improvement strategy. Therefore, in order to improve the implementation of guideline recommendations in clinical practice, China has learnt from the successful experience of Get With The Guidelines project in 2014. Under the guidance of the Medical and Health Hospital of the National Health and Family Planning Commission, the Chinese Society of Cardiology and the American Heart Association jointly launched the Improving Care for Cardiovascular Disease in China (CCC) project. The project team provided an analysis report on the completion of key medical quality evaluation indicators of each hospital every month, supplied guidance through education, training, experience exchange and on-site investigation for problems, and certified hospitals with outstanding performance and obvious progress. The circle pattern, including evaluation, training, improvement and re-evaluation, will boost the guidelines compliance on clinical practice in China and improve the quality of medical services. METHODS: This study was conducted in a centre of the Third Xiangya Hospital of Central South University. It included patients with ACS from December 2009 to December 2011 (n=225), patients with ACS in the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome project coming from the Third Xiangya Hospital of Central South University (n=665), 12 hospitals in Hunan Province (n=4333) and 150 hospitals in China (n=63 641) from November 2014 to April 2017. It assessed the situation of drug therapy, hospitalisation day, mortality during hospitalisation, median of door-to-needle (D-to-N) time and median of door-to-balloon (D-to-B) time of patients with ST-segment elevation myocardial infarction (STEMI), the proportion of D-to-N within 30 min and D-to-B within 90 min, and the proportion of reperfusion therapy. Patients with ACS from the centre from November 2014 to April 2017 were divided into five groups (every 6 months as a group according to time). The study observed change trends in all the above-mentioned indexes. RESULTS: Compared with before participating in the CCC project, there were increases after participating in the CCC project in the drug usage rates of aspirin, P2Y12 inhibitor (clopidogrel or ticagrelor), ß-blocker, statin and angiotensin converting enzyme inhibitor (ACEI)/angiotensin-receptor blocker (ARB). Hospitalisation day and mortality during hospitalisation were shortened. D-to-N and D-to-B times of patients with STEMI were shorter. Compared with Hunan Province and China, the drug usage rates were higher; hospitalisation day and D-to-N time were shorter; D-to-B time was longer; and the proportion of reperfusion therapy was higher. The trend of drug usage rates was on the rise. There was no significant change in the hospitalisation day and D-to-N and D-to-B times. The mortality during hospitalisation showed a downward trend. The proportion of D-to-N within 90 min and reperfusion therapy showed upward trends. CONCLUSION: Quality of care for patients with ACS improved over time in the CCC project, including taking medicine following the guidelines, increased use of reperfusion therapy and faster time to treatment. Although overall mortality has improved, we also should attach importance to high-risk patients. The influence of the CCC project, which is based on guidelines on prognosis of ACS in the centre, presents an important clinical implication that it is necessary to enhance adherence to the guidelines in the treatment of ACS.

Long-term colorectal cancer incidence after adenoma removal and the effects of surveillance on incidence: a multicentre, retrospective, cohort study.

OBJECTIVE: Postpolypectomy colonoscopy surveillance aims to prevent colorectal cancer (CRC). The 2002 UK surveillance guidelines define low-risk, intermediate-risk and high-risk groups, recommending different strategies for each. Evidence supporting the guidelines is limited. We examined CRC incidence and effects of surveillance on incidence among each risk group. DESIGN: Retrospective study of 33 011 patients who underwent colonoscopy with adenoma removal at 17 UK hospitals, mostly (87%) from 2000 to 2010. Patients were followed up through 2016. Cox regression with time-varying covariates was used to estimate effects of surveillance on CRC incidence adjusted for patient, procedural and polyp characteristics. Standardised incidence ratios (SIRs) compared incidence with that in the general population. RESULTS: After exclusions, 28 972 patients were available for analysis; 14 401 (50%) were classed as low-risk, 11 852 (41%) as intermediate-risk and 2719 (9%) as high-risk. Median follow-up was 9.3 years. In the low-risk, intermediate-risk and high-risk groups, CRC incidence per 100 000 person-years was 140 (95% CI 122 to 162), 221 (195 to 251) and 366 (295 to 453), respectively. CRC incidence was 40%-50% lower with a single surveillance visit than with none: hazard ratios (HRs) were 0.56 (95% CI 0.39 to 0.80), 0.59 (0.43 to 0.81) and 0.49 (0.29 to 0.82) in the low-risk, intermediate-risk and high-risk groups, respectively. Compared with the general population, CRC incidence without surveillance was similar among low-risk (SIR 0.86, 95% CI 0.73 to 1.02) and intermediate-risk (1.16, 0.97 to 1.37) patients, but higher among high-risk patients (1.91, 1.39 to 2.56). CONCLUSION: Postpolypectomy surveillance reduces CRC risk. However, even without surveillance, CRC risk in some low-risk and intermediate-risk patients is no higher than in the general population. These patients could be managed by screening rather than surveillance.

Problematic Risk Adjustment in National Healthcare Safety Network Measures.

This article reviews the risk-adjustment models underpinning the National Healthcare Safety Network (NHSN) standardized infection ratios. After first describing the models, the authors focus on hospital intensive care unit (ICU) designation as a variable employed across the various risk models. The risk-adjusted frequency with which ICU services are reported in Medicare fee-for-service claims data was compared as a proxy for determining whether reporting of ICU days is similar across hospitals. Extreme variation was found in the reporting of ICU utilization among admissions for congestive heart failure, ranging from 25% in the lowest admission hospital quartile to 95% in the highest. The across-hospital variation in reported ICU utilization was found to be unrelated to patient severity. Given that such extreme variation appears in a designation of ICU versus non-ICU utilization, the NHSN risk-adjustment models' dependence on nursing unit designation should be a cause for concern.

Adjusting for social risk factors impacts performance and penalties in the hospital readmissions reduction program.

OBJECTIVE: Medicare's Hospital Readmissions Reduction Program (HRRP) does not account for social risk factors in risk adjustment, and this may lead the program to unfairly penalize safety-net hospitals. Our objective was to determine the impact of adjusting for social risk factors on HRRP penalties. STUDY DESIGN: Retrospective cohort study. DATA SOURCES/STUDY SETTING: Claims data for 2 952 605 fee-for-service Medicare beneficiaries with acute myocardial infarction (AMI), congestive heart failure (CHF) or pneumonia from December 2012 to November 2015. PRINCIPAL FINDINGS: Poverty, disability, housing instability, residence in a disadvantaged neighborhood, and hospital population from a disadvantaged neighborhood were associated with higher readmission rates. Under current program specifications, safety-net hospitals had higher readmission ratios (AMI, 1.020 vs 0.986 for the most affluent hospitals; pneumonia, 1.031 vs 0.984; and CHF, 1.037 vs 0.977). Adding social factors to risk adjustment cut these differences in half. Over half the safety-net hospitals saw their penalty decline; 4-7.5 percent went from having a penalty to having no penalty. These changes translated into a $17 million reduction in penalties to safety-net hospitals. CONCLUSIONS: Accounting for social risk can have a major financial impact on safety-net hospitals. Adjustment for these factors could reduce negative unintended consequences of the HRRP.

Deriving risk adjustment payment weights to maximize efficiency of health insurance markets.

Risk-adjustment is critical to the functioning of regulated health insurance markets. To date, estimation and evaluation of a risk-adjustment model has been based on statistical rather than economic objective functions. We develop a framework where the objective of risk-adjustment is to minimize the efficiency loss from service-level distortions due to adverse selection, and we use the framework to develop a welfare-grounded method for estimating risk-adjustment weights. We show that when the number of risk adjustor variables exceeds the number of decisions plans make about service allocations, incentives for service-level distortion can always be eliminated via a constrained least-squares regression. When the number of plan service-level allocation decisions exceeds the number of risk-adjusters, the optimal weights can be found by an OLS regression on a straightforward transformation of the data. We illustrate this method with the data used to estimate risk-adjustment payment weights in the Netherlands (N = 16.5 million).

The Geriatric Day Hospital: Preliminary Data on an Innovative Model of Care in Brazil for Older Adults at Risk of Hospitalization.

Older adults have a greater risk of experiencing functional decline and iatrogenic complications during hospitalization than younger individuals. Geriatric day hospitals (GDHs) have been implemented mainly for rehabilitation. The goal of the current study was to expand the GDH spectrum of care to prevent hospital admissions in this population. This study details an innovative model of GDH care that offers short-term, nonrehabilitative treatment to older adults who have experienced an acute event, those with a decompensated chronic disease, or those in need of a minor procedure that would be unattainable in a regular outpatient setting. During the 6-hour visits made weekly for up to 2 months, participants receive integrated evaluations of their various health domains, education, and rapid access to examinations and procedures based on a multidisciplinary approach. In the first 6 years, 2,322 individuals attended the GDH. The analysis of a representative sample (n = 645) revealed that 81% were treated in the GDH without the need for another type of hospital care. This percentage was high for the different reasons for referral (infection, 71%; delirium, 73%; decompensated chronic disease, 81%). Between baseline and discharge, participants maintained their functional status, and their self-reported health improved. This study represents the first step in describing the role of the GDH as a possible alternative to emergency department use or hospitalization for older adults. Future studies are needed to determine the optimal individual for this model of care and to ensure its cost-effectiveness.

Overpaying morbidity adjusters in risk equalization models.

Most competitive social health insurance markets include risk equalization to compensate insurers for predictable variation in healthcare expenses. Empirical literature shows that even the most sophisticated risk equalization models-with advanced morbidity adjusters-substantially undercompensate insurers for selected groups of high-risk individuals. In the presence of premium regulation, these undercompensations confront consumers and insurers with incentives for risk selection. An important reason for the undercompensations is that not all information with predictive value regarding healthcare expenses is appropriate for use as a morbidity adjuster. To reduce incentives for selection regarding specific groups we propose overpaying morbidity adjusters that are already included in the risk equalization model. This paper illustrates the idea of overpaying by merging data on morbidity adjusters and healthcare expenses with health survey information, and derives three preconditions for meaningful application. Given these preconditions, we think overpaying may be particularly useful for pharmacy-based cost groups.

Do insurers respond to risk adjustment? A long-term, nationwide analysis from Switzerland.

Community rating in social health insurance calls for risk adjustment in order to eliminate incentives for risk selection. Swiss risk adjustment is known to be insufficient, and substantial risk selection incentives remain. This study develops five indicators to monitor residual risk selection. Three indicators target activities of conglomerates of insurers (with the same ownership), which steer enrollees into specific carriers based on applicants' risk profiles. As a proxy for their market power, those indicators estimate the amount of premium-, health care cost-, and risk-adjustment transfer variability that is attributable to conglomerates. Two additional indicators, derived from linear regression, describe the amount of residual cost differences between insurers that are not covered by risk adjustment. All indicators measuring conglomerate-based risk selection activities showed increases between 1996 and 2009, paralleling the establishment of new conglomerates. At their maxima in 2009, the indicator values imply that 56% of the net risk adjustment volume, 34% of premium variability, and 51% cost variability in the market were attributable to conglomerates. From 2010 onwards, all indicators decreased, coinciding with a pre-announced risk adjustment reform implemented in 2012. Likewise, the regression-based indicators suggest that the volume and variance of residual cost differences between insurers that are not equaled out by risk adjustment have decreased markedly since 2009 as a result of the latest reform. Our analysis demonstrates that risk-selection, especially by conglomerates, is a real phenomenon in Switzerland. However, insurers seem to have reduced risk selection activities to optimize their losses and gains from the latest risk adjustment reform.

Measuring coding intensity in the Medicare Advantage program.

BACKGROUND: In 2004, Medicare implemented a system of paying Medicare Advantage (MA) plans that gave them greater incentive than fee-for-service (FFS) providers to report diagnoses. DATA: Risk scores for all Medicare beneficiaries 2004-2013 and Medicare Current Beneficiary Survey (MCBS) data, 2006-2011. MEASURES: Change in average risk score for all enrollees and for stayers (beneficiaries who were in either FFS or MA for two consecutive years). Prevalence rates by Hierarchical Condition Category (HCC). RESULTS: Each year the average MA risk score increased faster than the average FFS score. Using the risk adjustment model in place in 2004, the average MA score as a ratio of the average FFS score would have increased from 90% in 2004 to 109% in 2013. Using the model partially implemented in 2014, the ratio would have increased from 88% to 102%. The increase in relative MA scores appears to largely reflect changes in diagnostic coding, not real increases in the morbidity of MA enrollees. In survey-based data for 2006-2011, the MA-FFS ratio of risk scores remained roughly constant at 96%. Intensity of coding varies widely by contract, with some contracts coding very similarly to FFS and others coding much more intensely than the MA average. Underpinning this relative growth in scores is particularly rapid relative growth in a subset of HCCs. DISCUSSION: Medicare has taken significant steps to mitigate the effects of coding intensity in MA, including implementing a 3.4% coding intensity adjustment in 2010 and revising the risk adjustment model in 2013 and 2014. Given the continuous relative increase in the average MA risk score, further policy changes will likely be necessary.

An efficient risk adjustment model to predict inpatient adverse events after surgery.

BACKGROUND: Risk adjustment is an important component of surgical outcomes and quality analyses. Current models include numerous preoperative variables; however, the relative contribution of these variables may be limited. This research seeks to identify a model with the fewest number of variables necessary to perform an adequate risk adjustment to predict any inpatient adverse event for use in resource-limited settings. METHODS: All patients from the National Surgical Quality Improvement Program (NSQIP) database from 2005 to 2010 were included. Outcomes were inpatient mortality or any surgical complication captured by NSQIP. Models were built by sequential addition of preoperative risk variables selected by their area under the receiver operator characteristic curve (AUC). RESULTS: Among 863,349 patients, the single variable with the highest AUC was American Society of Anesthesiologists (ASA) classification (AUC = 0.7127). AUC values reached 0.7923 with five variables (ASA classification, wound classification, functional status prior to surgery, albumin, and age) and 0.7945 with six variables. The sixth variable was one of the following: alkaline phosphatase, weight loss, principal anesthesia technique, gender, or emergency status. The model with the highest discrimination that did not require laboratories included ASA classification, functional status prior to surgery, wound classification, and age (AUC = 0.7810). Including all 66 preoperative variables produced little additional gain (AUC = 0.8006). CONCLUSIONS: Six variables are sufficient to develop a risk adjustment tool for inpatient surgical mortality and morbidity. This research has important implications for the field of surgical outcomes research by improving efficiency of data collection. This limited model can aid the expansion of risk-adjusted analyses to resource-limited settings worldwide.

Health insurance exchanges in Switzerland and the Netherlands offer five key lessons for the operations of US exchanges.

Since the 1990s some European countries have had regulated health insurance exchanges or have incorporated elements of exchange markets into their health systems. Health reforms in Switzerland and the Netherlands in 1996 and 2006, respectively, created managed competition in the countries' health insurance markets, which are somewhat analogous to the US state and federally operated health insurance exchanges scheduled to begin operations in 2013 under the Affordable Care Act. We review the Swiss and Dutch experience with exchanges and offer specific lessons for the US exchanges. First, risk-adjustment mechanisms--which provide premium adjustments intended to compensate health plans for enrolling people expected to have high medical costs--need to be sophisticated and continually updated. Second, it is important to determine why people eligible for coverage don't enroll and to craft responses that will overcome enrollment barriers. Third, applying for subsidies must be simple. Fourth, insurers will need bargaining power similar to that of providers to create a level playing field for negotiating about prices and quality of services, and interim cost containment measures may be necessary. Fifth and finally, insurers and consumers alike will need meaningful information about providers' costs and quality of care so they can become prudent purchasers of health services, since managed competition among health plans by itself will not substantially drive down health costs.

Adjusting Medicaid managed care payments for changes in health status.

Risk adjustment of managed care organization (MCO) payments is essential to avoid creating financial incentives for MCOs adopting enrollee selection strategies. However, all risk-adjustment methods have an inherent structural flaw that rewards preventable deterioration in enrollee health status and improved coding of disease burden. We propose a payment adjustment to offset this flaw. We use a database of 1,237,528 continuously enrolled beneficiaries to quantify the payment impact of change in enrollee health status over time for enrollees with two common chronic illnesses, hypertension and diabetes. The payment impact caused by the change in enrollee health status across MCOs ranged from +3.67% to -7.27% for enrollees with diabetes and from +5.25% to -7.69% for enrollees with hypertension. The MCO payment impact for diabetes and hypertension ranged from +0.19% to -0.31%. This difference can be used as the basis for creating payment incentives for MCOs to reduce the long-term costs of chronically ill enrollees.