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

Francesca Ferré, Chiara Seghieri and Sabina Nuti

Health Policy, 2023, vol. 131, issue C

Abstract: 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.

Keywords: Breast cancer; Patient choice; Socioeconomic conditions; Quality of care; Mixed logit models (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:131:y:2023:i:c:s0168851023000702

DOI: 10.1016/j.healthpol.2023.104781

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