Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey

BMC Public Health

Cesare Cislaghi¹  Beniamino Cislaghi² 

[1] Agenzia Nazionale per i Servizi Sanitari Regionali, Rome, Italy;Department of Global Health and Development, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, WC1 9SH, London, UK;

关键词: Self-rated health;    Equity;    National Health Service;    Health policy;    Healthcare demand;    Italy;    Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian Health Interview Survey;   

DOI  :  10.1186/s12889-019-6839-5

来源: Springer

【 摘 要 】

BackgroundSelf-rated health is widely considered a good indicator of morbidity and mortality but its validity for health equity analysis and public health policies in Italy is often disregarded by policy-makers. This study had three objectives. O1: To explore response distribution across dimensions of age, chronic health conditions, functional limitations and SRH in Italy. O2: To explore associations between SRH and healthcare demand in Italy. O3: To explore the association between SRH and household income.MethodsCross-sectional data were obtained from the 2015 Health Interview Survey (HIS) conducted in Italy. Italian respondents (n = 20,814) were included in logistic regression analyses. O1: associations of chronic health conditions (CHC), functional limitations (FL), and age with self-rated health (SRH) were tested. O2: associations of CHC, FL, and SRH with hospitalisation (H), medical specialist consultations (MSC), and medicine use (MU) were tested. O3: associations of SRH and CHC with household income (PEI) were tested.ResultsO1: CHC, FL, and age had an independent summative effect on respondents’ SRH. O2: SRH predicted H and MSC more than CHC; age and MU were more strongly correlated than SRH and MU. O3: SRH and PEI were significantly correlated, while we found no correlation between CHC and PEI.ConclusionsDrawing from our results and the relevant literature, we suggest that policy-makers in Italy could use SRH measures to: 1) predict healthcare demand for effective allocation of resources; 2) assess subjective effectiveness of treatments; and 3) understand geosocial pockets of health inequity that require special attention.

【 授权许可】

CC BY