title: Measuring geographic inequities in the Portuguese health care system: an estimation of hospital care needs.
abstract: Portugal created a NHS to achieve greater equity of access to health care. Successive governments continued to assert the importance of equity in the face of evidence of inequities in supply of hospital resources, but lacked methods to provide sound information on the degree of inequities in Portugal and hence how to achieve greater equity. Capitation formulae have been increasingly used in other countries with a NHS to measure geographical inequities and allocate resources to reduce them. The main objective of this paper was to develop a capitation formula to measure need for hospital care for the Portuguese system by transferring this technology from methods used in other countries, and, in particular, in England. We find, however, problems with the common use of standardised mortality ratios (SMRs) as a measure of need and found age-specific mortality ratios to offer more soundly-based estimates. We also raise questions on the use of empirical estimates of utilisation of health care by age and sex as they appear to reflect inadequacies of health care in Portugal. We also believe it is important to improve knowledge of health insurance and care outside the NHS. Our results show that there are considerable inequities on the distribution of hospital resources in Portugal.
authors.affiliation: LSE Health and Social Care, London School of Economics and Political Science, UK. m.d.oliveira@lse.ac.uk
authors.forename: Monica Duarte
authors.initials: MD
authors.lastname: Oliveira
authors.forename: Gwyn
authors.initials: G
authors.lastname: Bevan
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002391:Catchment Area, Health / Q000706:statistics & numerical data*; D002648:Child; D002675:Child, Preschool; D003361:Cost Allocation; D005260:Female; D005843:Geography; D005102:Health Expenditures / Q000706:statistics & numerical data; D017721:Hospital Costs / Q000706:statistics & numerical data; D006761:Hospitals / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D008297:Male; D008875:Middle Aged; D017059:Models, Econometric; D009017:Morbidity; D009026:Mortality; D009313:National Health Programs / Q000191:economics / Q000706:statistics & numerical data; D020380:Needs Assessment / Q000706:statistics & numerical data*; D011174:Portugal / Q000453:epidemiology; D040841:Resource Allocation / Q000379:methods* / Q000592:standards*; D012959:Socioeconomic Factors