Determinants of Nursing Homes Performance: The Case of Portuguese Santas Casas da Misericórdia

Abstract

This study aims to evaluate the economic eciency of Nursing Homes owned by 96 Santas Casas da Misericórdia (SCM) and the determinants that inuenced their eciency in 2012 and 2013. The SCM are the oldest non-prot entities, which belong to Third Sector in Portugal, provide this social response and receive signicant nancial contributions annually from the state. The study is developed in two stages. In the rst stage, the eciency scores were calculated through the non-parametric DEA technique. In the second stage, Tobit regression is used to verify the eect of certain organizational variables on eciency, namely the number of users and existence of Nursing Home chains. The results of the DEA model show that the eciency average is 81.9%, and only 10 out of 96 Nursing Homes are ecient. Tobit regression shows that the number of users has a positive eect on the eciency of Nursing Homes, whereas the existence of Nursing Home chains aects their eciency negatively.

Performance evaluation of emergency department physicians using robust value‐based additive efficiency model

“…In this context, a combination of different DEA models was used to study the care planning process, determine the best techniques to ensure the quality of care, and identify the determinants that affect the homes' efficiency. Such studies were conducted for the nursing homes in The Netherlands (Lee et al., 2009), Portugal (Veloso et al., 2018), and the United States (Kooreman, 1994; Shimshak et al., 2009). Other types of healthcare institutions evaluated included fire and emergency services (Choi, 2005), visiting nurse service agencies (Kuwahara et al., 2013), and health maintenance organizations (Siddharthan et al., 2000).…”