Managing care? Medicare managed care and patient use of cardiologists

Comparing Medicare Advantage And Traditional Medicare: A Systematic Review

Medicare Advantage enrollment has almost doubled since 2010 and now accounts for more than a third of all Medicare beneficiaries. We performed a systematic review to compare Medicare Advantage and traditional Medicare on key metrics. Evidence from forty-eight studies showed that in most or all comparisons, Medicare Advantage was associated with more preventive care visits, fewer hospital admissions and emergency department visits, shorter hospital and skilled nursing facility lengths-of-stay, and lower health care spending. Medicare Advantage outperformed traditional Medicare in most studies comparing quality-of-care metrics. However, the evidence on patient experience, readmission rates, mortality, and racial/ethnic disparities did not show a trend of better performance in Medicare Advantage. Evidence to date might not fully account for selection bias, unobserved differences in social determinants of health, or risk adjustment challenges, in part because of differences in data quality that limit the comparability of outcomes between Medicare Advantage and traditional Medicare. With Medicare Advantage plans expected to grow in popularity, policy makers should support policies to improve data completeness and comparability, and health plans should focus on improving patient experience.

Effects of managed care on the proportion of inappropriate elective diagnostic coronary angiographies in non-emergency patients in Switzerland: a retrospective cross-sectional analysis

OBJECTIVE

Guidelines recommend non-invasive ischaemia testing (NIIT) for the majority of patients with suspected ischaemic heart disease in a non-emergency setting. A substantial number of these patients undergo diagnostic coronary angiography (CA) without therapeutic intervention inappropriately due to lacking preceding NIIT. The aim of this study was to evaluate the effect of voluntary healthcare models with limited access on the proportion of patients without NIIT prior to elective purely diagnostic CA.

DESIGN

Retrospective cross-sectional analysis of insurance claims data from 2012 to 2015. Data included claims of basic and voluntary healthcare models from approximately 1.2 million patients enrolled with the Helsana Insurance Group. Voluntary healthcare models with limited health access are divided into gate keeping (GK) and managed care (MC) capitation models.

INCLUSION CRITERIA

patients undergoing CA.

EXCLUSION CRITERIA

Patients<18 years, incomplete health insurance data coverage, acute cardiac ischaemia and emergency procedures, therapeutic CA (coronary angioplasty/stenting or coronary artery bypass grafting). The effect of voluntary healthcare models on the proportion of NIIT undertaken within 2 months before diagnostic CA was assessed by means of multiple logistic regression analysis, controlled for influencing factors.

RESULTS

9173 patients matched inclusion criteria. 33.2% (3044) did not receive NIIT before CA. Compared with basic healthcare models, MC was independently associated with a higher proportion of NIIT (p<0.001, OR 1.17, CI 1.045 to 1.312), when additionally controlled for demographics, insurance coverage, inpatient treatment, cardiovascular medication, chronic comorbidities, high-risk status (patients with therapeutic cardiac intervention 1 month after or 18 months prior to diagnostic CA). GK models showed no significant association with the rate of NIIT (p=0.07, OR 1.11, CI 0.991 to 1.253).

CONCLUSIONS

In a non-GK healthcare system, voluntary MC healthcare models with capitation were associated with a reduced inappropriate use of diagnostic CA compared with GK or basic models.

Better Quality of Care or Healthier Patients? Hospital Utilization by Medicare Advantage and Fee-for-Service Enrollees

Do differences in rates of use among managed care and Fee-for-Service Medicare beneficiaries reflect selection bias or successful care management by insurers? I demonstrate a new method to estimate the treatment effect of insurance status on health care utilization. Using clinical information and risk-adjustment techniques on data on acute admission that are unrelated to recent medical care, I create a proxy measure of unobserved health status. I find that positive selection accounts for between one-quarter and one-third of the risk-adjusted differences in rates of hospitalization for ambulatory care sensitive conditions and elective procedures among Medicare managed care and Fee-for-Service enrollees in 7 years of Healthcare Cost and Utilization Project State Inpatient Databases from Arizona, Florida, New Jersey and New York matched to Medicare enrollment data. Beyond selection effects, I find that managed care plans reduce rates of potentially preventable hospitalizations by 12.5 per 1,000 enrollees (compared to mean of 46 per 1,000) and reduce annual rates of elective admissions by 4 per 1,000 enrollees (mean 18.6 per 1,000).

Is blood thicker than water? Peer effects in stent utilization among Floridian cardiologists

Variations in physician practice are pervasive and costly, and may be harmful. The objective of much policy in the West is to increase the interconnectedness of physicians, furthering the transfer of information and thus reducing variation. This study tests whether physicians are influenced by the practice of peers, or if propensity, mere context or sorting of like-minded physicians better explain similarities and differences in practice. We study US cardiologists who place coronary stents into patients with blocked arteries around the heart. Organized in locally competing physician groups and also as solo practitioners, they see patients in offices, but insert the stents at a shared production facility - the cath lab. We examine their use of the popular drug-eluting coronary stents between their launch and rapid adoption in early 2003, and through the period of late 2006 in which private and public reports of serious late side-effects eventually led to reductions in use. Our analyses use administrative claims data on nearly 1000 cardiologists and their patients in Florida, USA, merged with Florida physician licensure data. Collectively these physicians used these stents nearly a quarter of a million times in the 4 year period reviewed. Pooled and panel linear regressions for device utilization by a physicians are estimated using measures of peer utilization, physician characteristics and controls for unobservable physician characteristics, common shocks and selection effects. We find strong evidence for intra-group but against inter-group practice spillovers. Even when sharing the same lab, competing cardiologists did not appear to correlate practices. Our results are consistent with a view that policies aimed at increasing the interconnectedness of physicians must first consider the organizational barriers and competitive forces that can stymie knowledge transfer even among physicians working closely together.

Long-term impact of Medicare managed care on patients treated for coronary artery disease

BACKGROUND

Planned health insurance reform promises and has started to cut reimbursement to Medicare managed care (MMC) plans. If such plans provide better care, adjusting for possible better health of their enrollees, then such reimbursement changes may have unforeseen quality consequences.

OBJECTIVES

To examine whether long-term follow-up outcomes of patients who receive intensive interventional care for coronary artery disease differed by Medicare plan type.

RESEARCH DESIGN

Patient-level postdischarge outcomes were multivariate adjusted logistic functions of a patient's insurance type at time of index admission. Data were retrospective secondary percutaneous coronary intervention data from Pennsylvania with 35,417 index admissions in 2004 to 2005 and in-state follow-up hospitalizations within 12 months and in-state death within 3 years of discharge.

RESULTS

MMC insured patients had a consistently estimated 3-year survival benefit (relative risk of death 0.91; P value 0.003) compared with traditional Medicare traditional fee for service patients. Results were robust to propensity score stratification, subset analyses, and rich controls for observed confounders. Implausibly large associations (between an unmeasured confounder and both insurance status and outcomes) would have to be hypothesized to fully explain the observed survival benefit.

CONCLUSIONS

Among a large number of Pennsylvanian elderly patients, receiving a very common therapeutic procedure for highly prevalent disease, being insured with MMC was associated with a clinically meaningful long-term survival benefit. Impending health insurance reform that changes the relative attractiveness of MMC plans may have unintended consequences on outcome quality.

Comparing patient outcomes across payer types: implications for using hospital discharge records to assess quality

OBJECTIVE

To explain observed differences in patient outcomes across payer types using hospital discharge records. Specifically, we address two mechanisms: hospital-payer matching versus unobserved patient heterogeneity.

DATA SOURCE

Florida's hospital discharge records (1996-2000) of major surgery patients with private health insurance between the ages of 18 and 65, Health Maintenance Organization (HMO) market penetration data, hospital systems data, and the Area Resource File.

STUDY DESIGN

The dependent variable is occurrence of one or more in-hospital complications as identified by the Complication Screening Program. The key independent variable is patients' primary-payer type (HMO, Preferred Provider Organization, and fee-for-service). We estimate five different logistic regression models, each representing a different assumption about the underlying factors that confound the causal relationship between the payer type and the likelihood of experiencing complications.

PRINCIPAL FINDING

We find that the observed differences in complication rates across payer types are largely driven by unobserved differences in patient health, even after adjusting for case mix using available data elements in the discharge records.

CONCLUSION

Because of the limitations inherent to hospital discharge records, making quality comparisons in terms of patient outcomes is challenging. As such, any efforts to assess quality in such a manner must be carried out cautiously.