ArticleInternational journal of health care finance and economics2010
Toward a needs based mechanism for capitation purposes in Italy: the role of socioeconomic level in explaining differences in the use of health services.
Article in International journal of health care finance and economics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- The role of mesolevel characteristics of the health care system and socioeconomic factors on health care use - results of a scoping review.International journal for equity in health · 2024Article
- High-resolution age-specific mapping of the two-week illness prevalence rate based on the National Health Services Survey and geostatistical analysis: a case study in Guangdong province, China.International journal of health geographics · 2021Article
- Health care utilization by immigrants in Italy.International journal of health care finance and economics · 2013Article
- Socioeconomic differences in waiting times for elective surgery: a population-based retrospective study.BMC health services research · 2012Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
The paper investigated differences in the use of hospital care, out-patient care and pharmaceutical care in Piemonte, a region of northern Italy with 4,000,000 inhabitants, taking into account factors of need and supply, for capitation purposes. The study used a geographical design, with the municipalities as statistical units, and was based on integrated data from health and health service information systems, the population census and on the geographical distances among municipalities. Hierarchical regression models were fitted with the utilisation of services as the outcome variable and a set of direct and indirect factors of need and supply indicators as covariates. Higher health service consumption rates were observed for the most disadvantaged employment categories, in addition to the elderly. Distance from hospital was inversely correlated with the hospitalisation rate. A formula for determining capitation can be developed using age and indirect factors of need as weights.
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