Background

A variety of approaches have been used to contain escalating hospital costs. One approach is intensifying price competition. The increase in price based competition, which changes the incentives hospitals face, coupled with the fact that consumers can more easily evaluate the quality of hotel services compared with the quality of clinical care, may lead hospitals to allocate more resources into hotel rather than clinical services.

Methods

To test this hypothesis we studied hospitals in California in 1982 and 1989, comparing resource allocations prior to and following selective contracting, a period during which the focus of competition changed from quality to price. We estimated the relationship between clinical outcomes, measured as risk-adjusted-mortality rates, and resources.

Results

In 1989, higher competition was associated with lower clinical expenditures levels compared with 1982. The trend was stronger for non-profit hospitals. Lower clinical resource use was associated with worse risk adjusted mortality outcomes.

Conclusions

This study raises concerns that cost reductions may be associated with increased mortality.

Background

Quality report cards have been shown to be effective in influencing patients' referrals and promoting quality improvement in some instances and not others. In this study, we investigate one of the mechanisms that may detract from their effectiveness: voluntary versus mandatory participation of nursing homes in public quality reporting.

Objectives

To answer 2 questions: (1) Were the nursing homes choosing not to participate low-quality performers relative to those who chose to participate? (2) Once participation became mandatory, did those that did not voluntarily participate initially, improve more than those that participated voluntarily?

Research design

Massachusetts published the Massachusetts Satisfaction Survey report card for nursing homes for the years 2005, 2007, and 2009. Nursing homes' participation was voluntary in 2005 and mandatory in 2007 and 2009. We performed a retrospective statistical analysis of the relationship between nursing homes' decision to participate in quality reporting and 12 quality outcomes: deficiency citations, staffing, and 8 survey domains.

Subjects

A total of 424 Massachusetts nursing homes.

Results

Sixty-seven percent of nursing homes participated in reporting voluntarily. Volunteer nursing homes had better quality for all measures (significant at the 0.05 level or trending toward significance at the 0.10 level for all but 2). Once reporting became mandatory, nonvolunteers improved more than volunteers in all but 2 staffing measures (trending toward significance at the 0.10 level in 5).

Conclusions

Report cards are more effective if nursing homes' participation is mandated. Nonmandatory reporting systems, as those implemented by some states and professional associations, lead to missed opportunities for quality improvements.

Objectives

To identify consumers' preferences over care settings, such as physicians' offices, emergency rooms (ERs), urgent care centers, retail clinics, and virtual physicians on smartphones, for minor illnesses.

Data sources

A survey conducted between 9/27/16 and 12/7/16 emailed to all University of California, Irvine employees.

Study design

Participants were presented with 10 clinical scenarios and asked to choose the setting in which they wanted to receive care. We estimated multinomial conditional logit regression models, conditioning the choice on out-of-pocket costs, wait time, travel time, and chooser characteristics.

Data collection

5451 out of 21 037 employees responded.

Principal findings

Out-of-pocket costs and wait time had minimal impact on patient's preference for site of care. Choices were driven primarily by the clinical scenario and patient characteristics. For chronic conditions and children's well-visits, the doctor's office was the preferred choice by a strong majority, but for most acute conditions, either the ER (for high severity) or urgent care clinics (for lower severity) were preferred to the office setting, particularly among younger patients and those with less education.

Conclusions

Patients have several alternatives to traditional physicians' offices and ERs. The low impact of out-of-pocket costs suggests that insurers interested in encouraging increased utilization of alternatives would need to consider substantial changes to benefit structure.

Introduction

With this growing demand, the length of stay for total hip arthroplasty (THA) procedures has decreased, and as a trade-off, we have seen a higher utilization of extended care facilities (ECFs). Both trends have significant economic implications on the health care system, and predicting the discharge destinations of THA patients would help policy makers plan for future health expenditures. We performed a retrospective data analysis of a large patient database to determine which variables are significant in predicting discharge destinations of THA patients.

Methods

We used the California Hospital Discharge data set of the year 2010, collected and provided by the Office of Statewide Health Planning and Development. The data set includes information about patient demographics, insurance type, diagnoses and procedures, and patient disposition. The study cohort included 14 326 patients. Discharge to home was the reference category. Discharge to ECF and discharge to home with home care were the 2 additional alternatives.

Results

In all, 46.9% of patients were discharged home with home health care, followed by 29.6% to ECF, and 23.5% to home without care. Discharge to ECF was more likely for patients with more comorbidities and a higher age. The strongest predictors were Medicaid and black or Asian race. Medicare relative to private payer was a strong predictor of ECF discharge. Male gender was the only factor that lowered the risk of discharge to ECF. The strongest predictor for discharge to home with home care was black race relative to whites. Medicaid lowered the risk of home care, and gender did not matter.

Conclusion

This study serves to provide insight on which patient characteristics influence discharge destination after THA. Race, insurance, and morbidity were highly significant factors on patient discharge destination to a subacute nursing facility.

Do insurance plans offered through the Marketplace implemented by the State of California under the Affordable Care Act restrict consumers' access to hospitals relative to plans offered on the commercial market? And are the hospitals included in Marketplace networks of lower quality compared to those included in the commercial plans? To answer these questions, we analyzed differences in hospital networks across similar plan types offered both in the Marketplace and commercially, by region and insurer. We found that the common belief that Marketplace plans have narrower networks than their commercial counterparts appears empirically valid. However, there does not appear to be a substantive difference in geographic access as measured by the percentage of people residing in at least one hospital market area. More surprisingly, depending on the measure of hospital quality employed, the Marketplace plans have networks with comparable or even higher average quality than the networks of their commercial counterparts.

Background

High-quality care for long-term nursing home residents should include discussions and follow-up on patients' end-of-life care wishes. Yet, recent changes to the Minimum Data Set data collection exclude this information from routine assessment of patients mandated by the Centers for Medicare & Medicaid Services, making the provision of high-quality end-of-life care less likely. We examined the stability of cardiopulmonary resuscitation (CPR) and do-not-resuscitate (DNR) orders to offer guidance to policy and care practice developments.

Methods

We examined changes in DNR status of a national long-term care nursing home cohort, following them for 5 years after admission. A competing risk model was estimated to identify covariates predicting changes from CPR to DNR status and vice versa.

Results

About half the cohort chose DNR at admission and did not change its status. Of those who entered with CPR status, 40% changed to DNR. The most important factors influencing change were hospitalizations and nursing home transfers, followed by race and ethnicity with black race (relative to white) in particular having the largest effect on change. Other individual and nursing home characteristics influenced the likelihood of changing from CPR to DNR as well.

Conclusions

Long-term nursing home patients who enter with full-code CPR have a high probability of changing their status to DNR during their stay. High-quality care should offer them the opportunity to revisit their choice periodically, documenting changes in end-of-life choices when they occur, thus ensuring that care will match patients' wishes. As the Minimum Data Set plays a prominent role in patients' care, Centers for Medicare & Medicaid Services should consider reinstating information about advance directive in it.

Objectives

To examine the incidence of, variations in, and costs of potentially avoidable hospitalizations (PAHs) of nursing home (NH) residents at the end of life and to identify the association between NH characteristics and a facility-level quality measure (QM) for PAH.

Design

Retrospective.

Setting

Hospitalizations originating from NHs.

Participants

Long-term care NH residents who died in 2007.

Measurements

A risk-adjusted QM was constructed for PAH. A Poisson regression model was used to predict the count of PAH given residents' risk factors. For each facility, the QM was defined as the difference between the observed facility-specific rate (per 1,000 person-years) of PAH (O) and the expected risk-adjusted rate (E). A logistic regression model with state fixed-effects was then fit to examine the association between facility characteristics and the likelihood of having higher-than-expected rates of PAH (O-E > 0). QM values greater than 0 indicate worse-than-average quality.

Results

Almost 50% of hospital admissions for NH residents in their last year of life were for potentially avoidable conditions, costing Medicare $1 billion. Five conditions were responsible for more than 80% of PAHs. PAH QM across facilities showed significant variation (mean 12.0 ± 142.3 per 1,000 person-years, range -399.48 to 398.09 per 1,000 person-years). Chain and hospital-based facilities were more likely to exhibit better performance (O-E < 0). Facilities with higher nursing staffing were more likely to have better performance, as were facilities with higher skilled staff ratio, those with nurse practitioners or physician assistants, and those with on-site X-ray services.

Conclusion

Variations in facility-level PAHs suggest that a potential for reducing hospital admissions for these conditions may exist. Presence of modifiable facility characteristics associated with PAH performance could help us formulate interventions and policies for reducing PAHs at the end of life.

More than three million US nursing home residents were diagnosed with Alzheimers disease and related dementias (ADRD) between 2017 and 2019. This number is expected to increase as the population ages and ADRD prevalence increases. People with ADRD require specialized care from trained staff. This study addressed two questions: Are residents with ADRD concentrated in nursing homes where they are the majority? If not, what are the implications for their quality of care and life? We answered the first question by determining the ADRD census for each nursing home in the country during the period 2017-19. Using the Minimum Data Set and Medicare claims, we compared characteristics of nursing homes with high and low ADRD census along several dimensions, including staffing, resident outcomes, and resident characteristics. We found that residents with ADRD were dispersed throughout all nursing homes, with fewer than half residing in nursing homes where residents with ADRD accounted for 60-90 percent of the census. Furthermore, only facilities exceeding 90 percent of residents with ADRD seemed to offer better care. These findings raise concerns about the quality of care and life for the majority of residents with ADRD, suggesting that current National Institutes of Health dementia research initiatives and the Biden administrations policies to improve nursing home care should be coordinated.

Objectives

To examine whether racial differences in end-of-life (EOL) hospitalizations vary according to the presence of advance directives, specifically do-not-hospitalize (DNH) orders, and individual cognitive status in nursing home (NH) residents.

Design

National data, including Medicare data and Minimum Data Set (MDS) 2.0, between January 1, 2007, and September 30, 2010, were linked. EOL hospitalizations were hospitalizations in the last 30 days of life. Linear probability models with an interaction term (between race and DNH) and NH fixed-effects were estimated. The analyses were stratified according to cognitive status.

Setting

Nursing homes in the United States.

Participants

Dually eligible Medicare-Medicaid decedents enrolled in Medicare fee-for-service plans and long-stay NH residents (in NHs ≥ 90 days before death) (N = 394,948).

Measurements

Racial difference in EOL hospitalizations from a NH.

Results

End-of-life hospitalization rate was 31.7% for whites and 42.8% for blacks. For participants without DNH orders, adjusted probability of EOL hospitalization was higher for blacks than for whites: 2.7 percentage points in those with moderate cognitive impairment (P < .001) and 4.7 percentage points in those with severe cognitive impairment (P < .001). For those with DNH orders, adjusted racial differences in EOL hospitalization were not statistically significant in those with moderate (P = .25) or severe (P = .93) cognitive impairment, but blacks had a higher probability of EOL hospitalization than whites if they had relatively intact cognitive status.

Conclusion

Racial differences in EOL hospitalization varied with DNH orders and cognitive status in dying residents. Future research is necessary to understand the reasons behind these variations.

Background

Reducing 30-day hospital readmissions has become a focus of the current national payment policies. Medicare requires that hospitals collect and report patients' experience with their care as a condition of payment. However, the extent to which patients' experience with hospital care is related to hospital readmission is unknown.

Methods

We established multivariate regression models in which 30-day risk-adjusted readmission rates were the dependent variables and patients' perceptions of the responsiveness of the hospital staff and communication (as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores) were the independent variables of interest. We selected six different clinical conditions for analyses, including acute myocardial infarction (AMI), chronic obstructive pulmonary disease (COPD), heart failure, hip/knee surgery, pneumonia, and stroke. Data included all acute care hospitals reporting in Hospital Compare in 2014.

Results

The number of hospitals with reported readmissions ranged from 2234 hospitals for AMI to 3758 hospitals for pneumonia. The average 30-day readmission rates ranged from 5.19% for knee/hip surgery to 22.7% for COPD. Patient experience of hospital-staff responsiveness as "top-box" ranged from 64% to 67% across the six clinical conditions, communication with nurses ranged from 77% to 79% and communication with doctors ranged from 80% to 81% (higher numbers are better). Our finding suggests that hospitals with better staff responsiveness were significantly more likely to have lower 30-day readmissions for all conditions. The effect size depended on the baseline readmission rates, with the largest effect on hospitals in the upper 75th quartile. A ten-percentage-point increase in staff responsiveness led to a 0.03-0.18 percentage point decrease in readmission rates. We found that neither communication with physicians nor communication with nurses was significantly associated with hospital readmissions.

Conclusions

Our findings suggest that elements of care related to staff responsiveness during patients' stay may influence rehospitalization rates. Changes in staff responsiveness may offer an additional tool for hospitals to employ ongoing efforts to achieve reductions in readmissions, an important objective both financially and for patient health outcomes.