Putting patients first: Today's disparities research leading to health equity tomorrow

Women's choices of hospital for breast cancer surgery in Italy: Quality and equity implications

This paper employs mixed logit regression to investigate the effects of providers characteristics on women's choice of hospital for breast surgery. Patient level data are used to model choices in Tuscany region, Italy. In particular, we focus on the effects of travel time and hospital quality indicators including quality standard (volumes of breast surgery), measurement of process (waiting times) and quality of surgical procedures. Variation in preferences related to individual characteristics such as age, education and travel distance from the hospital are also considered. Findings show that, on average, women prefer closer hospital with longer waiting times and higher quality (high volumes of interventions). We found preference heterogeneity associated to education: travel distance affects choice especially among less educated women (regardless of age), while among younger women (<65 years), less educated ones prefer shorter waiting times. These results could be used to optimize the allocation of resources toward breast cancer units that meet quality and efficacy standards to increase the efficiency and responsiveness of breast cancer care.

Rural-Urban Differences in Nursing Home Risk-adjusted Rates of Emergency Department Visits: A Decomposition Analysis

BACKGROUND

Higher risk-adjusted rate of emergency department (ED) visits might reflect poor quality of nursing home (NH) care; however, existing evidence is limited regarding rural-urban differences in ED rates of NHs, especially for long-stay residents.

OBJECTIVES

To determine and quantify sources of rural-urban differences in NH risk-adjusted rates of any ED visit, ED without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED) of long-stay residents.

RESEARCH DESIGN

We calculated quarterly NH risk-adjusted rates using 2011-2013 national Medicare claims and Minimum Data Set 3.0, and then implemented Generalized Estimating Equation models to examine rural-urban differences in ED rates and Blinder-Oaxaca decomposition to quantify the contributions of NH and market factors.

SUBJECTS

Privately owned, free-standing NHs in the United States (N=13,260).

RESULTS

Over the study period, risk-adjusted rates averaged 9.8% for any ED, 3.3% for outpatient ED, and 3.2% for PAED. Compared with urban NHs, rural NHs were associated with significantly lower rates of any ED, outpatient ED, and PAED (β=-1.67%, -0.44%, and -0.28%; all P<0.01). Observable differences in market factors (nursing home bed concentration, hospital beds, and the existence of a critical access hospital) explained about half of the rural-urban differences in rates of any ED and PAED, but not outpatient ED.

CONCLUSIONS

Decomposition analyses suggested that lower ED rates in rural NHs appear to be related to market availability of hospital resources. Policymakers may focus on not only reducing unnecessary ED visits but also ensuring equitable hospital access in rural areas.