TY - JOUR
T1 - How do hospital-specialty characteristics influence health system responsiveness? An empirical evaluation of in-patient care in the Italian Region of Emilia-Romagna
AU - Fiorentini, Gianluca
AU - ROBONE, SILVANA MARIA
AU - Verzulli, Rossella
PY - 2018
Y1 - 2018
N2 - Studies of health system responsiveness mostly focus on the demand side by investigating the association between sociodemographic characteristics of patients and their reported level of responsiveness. However, little is known about the influence of supply-side factors. This paper addresses that research gap by analysing the role of hospital-specialty characteristics in explaining variations in patients' evaluation of responsiveness from a sample of about 38,700 in-patients treated in public hospitals within the Italian Region of Emilia-Romagna. The analysis is carried out by adopting a 2-step procedure. First, we use patients' self-reported data to derive 5 measures of responsiveness at the hospital-specialty level. By estimating a generalised ordered probit model, we are able to correct for variations in individual reporting behaviour due to the health status of patients and their experience of being in pain. Second, we run cross-sectional regressions to investigate the association between patients' responsiveness and potential supply-side drivers, including waiting times, staff workload, the level of spending on non-clinical facilities, the level of spending on staff education and training, and the proportion of staff expenditure between nursing and administrative staff. Results suggest that responsiveness is to some extent influenced by the supply-side drivers considered.
AB - Studies of health system responsiveness mostly focus on the demand side by investigating the association between sociodemographic characteristics of patients and their reported level of responsiveness. However, little is known about the influence of supply-side factors. This paper addresses that research gap by analysing the role of hospital-specialty characteristics in explaining variations in patients' evaluation of responsiveness from a sample of about 38,700 in-patients treated in public hospitals within the Italian Region of Emilia-Romagna. The analysis is carried out by adopting a 2-step procedure. First, we use patients' self-reported data to derive 5 measures of responsiveness at the hospital-specialty level. By estimating a generalised ordered probit model, we are able to correct for variations in individual reporting behaviour due to the health status of patients and their experience of being in pain. Second, we run cross-sectional regressions to investigate the association between patients' responsiveness and potential supply-side drivers, including waiting times, staff workload, the level of spending on non-clinical facilities, the level of spending on staff education and training, and the proportion of staff expenditure between nursing and administrative staff. Results suggest that responsiveness is to some extent influenced by the supply-side drivers considered.
KW - health system performance
KW - health system responsiveness
KW - ordered response data
KW - reporting heterogeneity
KW - supply-side drivers
KW - health system performance
KW - health system responsiveness
KW - ordered response data
KW - reporting heterogeneity
KW - supply-side drivers
UR - https://iris.uniupo.it/handle/11579/182075
U2 - 10.1002/hec.3540
DO - 10.1002/hec.3540
M3 - Article
SN - 1057-9230
SP - 1
EP - 29
JO - HEALTH ECONOMICS
JF - HEALTH ECONOMICS
ER -