LAUSR

BackgroundHorizontal equity in access to public general practitioner (GP) services by socioeconomic group has been addressed econometrically by testing the statement “equal probability of using public GP services for equal health care needs, regardless of socioeconomic status”. Based on survey data, the conventional approach has been to estimate binomial econometric models in which when the respondent reports having visited a public GP, it counts as 1, otherwise it counts as 0. This is what we call a compartmentalised approach. Those respondents who did not visit a public GP but visited instead another doctor (specialist or private GP) would count as 0 (despite having used instead other modes of health care), thus conclusions of the compartmentalised approach might be biased. In such cases, a multinomial econometric model -that we called comprehensive approach- would be more appropriate to analyse horizontal equity in access to public GP services. The objective of this paper is to test for this potential bias by comparing a compartmentalised and a comprehensive approach, when analysing horizontal equity in access to public GP.MethodsUsing data from the 2016/17 Spanish National Health Survey, we estimate the probability of visiting a public GP as determined by socioeconomic status, health care need and demographic characteristics. We use binomial and multinomial logit and probit models in order to highlight the potential differences in the conclusions regarding socioeconomic inequities in access to public GP services. Socioeconomic status is proxied by education level, social class and employment situation.ResultsOur results show that conclusions are sensitive to the approach selected. Particularly, the horizontal inequity favouring individuals with lower education that resulted from the compartmentalised approach disappears under a comprehensive approach and only a social class effect remains.ConclusionAn analysis of horizontal equity in access to a particular health care service (like public GP services) undertaken following a compartmentalised approach should be compared with a comprehensive approach in order to test that there is no bias as a consequence of considering as zeros the utilisation of other types of health care.