Applying market-based reforms to long-term care

Determinants of Private Long-Term Care Insurance Purchase in Response to the Partnership Program

OBJECTIVE

To assess three possible determinants of individuals' response in their private insurance purchases to the availability of the Partnership for Long-Term Care (PLTC) insurance program: bequest motives, financial literacy, and program awareness.

DATA SOURCES

The health and retirement study (HRS) merged with data on states' implementation of the PLTC program.

STUDY DESIGN

Individual-level decision on private long-term care insurance is regressed on whether the PLTC program is being implemented for a given state-year, asset dummies, policy determinant variable, two-way and three-way interactions of these variables, and other controls, using fixed effects panel regression.

DATA EXTRACTION METHODS

Analysis used a sample between 50 and 69 years of age from 2002 to 2010, resulting in 12,695 unique individuals with a total of 39,151 observations.

PRINCIPAL FINDINGS

We find mild evidence that intent to bequest influences individual purchase of insurance. We also find that program awareness is necessary for response, while financial literacy notably increases responsiveness.

CONCLUSIONS

Increasing response to the PLTC program among the middle class (the stated target group) requires increased efforts to create awareness of the program's existence and increased education about the program's benefits, and more generally, about long-term care risks and needs.

Longitudinal Changes in Nursing Home Resident-Reported Quality of Life: The Role of Facility Characteristics

Improving quality of nursing homes (NHs) is a major social priority, yet few studies examine the role of facility characteristics for residents' quality of life (QOL). This study goes beyond cross-sectional analyses by examining the predictors of NH residents' QOL on the facility level over time. We used three data sources, namely resident interviews using a multidimensional measure of QOL collected in all Medicaid-certified NHs in Minnesota (N = 369), resident clinical data from the minimum data set, and facility-level characteristics. We examined change in six QOL domains from 2007 to 2010, using random coefficient models. Eighty-one facilities improved across most domains and 85 facilities declined. Size, staffing levels (especially activities staff), and resident case mix are some of the most salient predictors of QOL over time, but predictors differ by facility performance status. Understanding the predictors of facility QOL over time can help identify facility characteristics most appropriate for targeting with policy and programmatic interventions.

End-of-life quality-of-care measures for nursing homes: place of death and hospice

OBJECTIVE

The Centers for Medicare and Medicaid Services (CMS) publishes a web-based quality report card for nursing homes. The quality measures (QMs) do not assess quality of end-of-life (EOL) care, which affects a large proportion of residents. This study developed prototype EOL QMs that can be calculated from data sources available for all nursing homes nationally.

METHODS

The study included approximately 1.5 million decedents residing in 16,000 nursing homes during 2003-2007, nationally. Minimum Data Set (MDS) data were linked to Medicare enrollment files, hospital claims, and hospice claims. Random effect logistic models were estimated to develop risk-adjustment models predicting two outcome measures (place of death [POD] and hospice enrollment), which were then used to construct two EOL QMs. The distributional properties of the QMs were investigated.

RESULTS

The QMs exhibited moderate stability over time. They were more stable in identifying quality outliers among the larger nursing homes and in identifying poor-quality outliers than high-quality outliers.

CONCLUSIONS

This study offers two QMs specialized to EOL care in nursing homes that can be calculated from data that are readily available and could be incorporated in the Nursing Home Compare (NHC) report card. Further work to validate the QMs is required.

Associations between published quality ratings of skilled nursing facilities and outcomes of medicare beneficiaries with heart failure

INTRODUCTION

Nursing Home Compare quality ratings are designed to allow patients, families, and clinicians to compare facilities based on quality, but associations of the current measures with important clinical outcomes are not known. Our study examined associations between ratings and readmission and mortality among Medicare beneficiaries admitted to a skilled nursing facility with a primary diagnosis of heart failure.

METHODS

We conducted a retrospective cohort study of 164,672 Medicare beneficiaries discharged to skilled nursing facilities after hospitalization for heart failure in 2006-2007. The main outcome measures were readmission and mortality within 90 days.

RESULTS

One-fifth of the 13,619 skilled nursing facilities received a 1-star rating and 11% received a 5-star rating. Nearly half of the patients discharged to a skilled nursing facility were readmitted to a hospital within 90 days after discharge, and 30% died within 90 days. Compared with patients in 5-star skilled nursing facilities, patients in 1-star facilities had higher risks of 90-day readmission (hazard ratio, 1.08) and mortality (1.15). After adjustment for facility size and ownership type, the associations between the quality rating and readmission were not statistically significant, but the associations with mortality were significant.

CONCLUSION

Publicly reported Nursing Home Compare quality ratings of Medicare-certified skilled nursing facilities were modestly associated with 90-day readmission and mortality among Medicare beneficiaries discharged to these facilities after hospitalization for heart failure.

What is nursing home quality and how is it measured?

PURPOSE

In this commentary, we examine nursing home quality and indicators that have been used to measure nursing home quality.

DESIGN AND METHODS

A brief review of the history of nursing home quality is presented that provides some context and insight into currently used quality indicators. Donabedian's structure, process, and outcome (SPO) model is used to frame the discussion. Current quality indicators and quality initiatives are discussed, including those included in the Facility Quality Indicator Profile Report, Nursing Home Compare, deficiency citations included as part of Medicare/Medicaid certification, and the Advancing Excellence Campaign.

RESULTS

Current quality indicators are presented as a mix of structural, process, and outcome measures, each of which has noted advantages and disadvantages. We speculate on steps that need to be taken in the future to address and potentially improve the quality of care provided by nursing homes, including report cards, pay for performance, market-based incentives, and policy developments in the certification process. Areas for future research are identified throughout the review.

IMPLICATIONS

We conclude that improvements in nursing home quality have likely occurred, but improvements are still needed.