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Gaceta Sanitaria

Print version ISSN 0213-9111


PEREZ-ROMERO, Shirley et al. Relevance of the socioeconomic and health context in patient satisfaction. Gac Sanit [online]. 2017, vol.31, n.5, pp.416-422. ISSN 0213-9111.


To determine which factors of the socioeconomic and health contexts influence the perception of the satisfaction of the population with the health services.


The data come from the European Health Survey of 2009. In the 22,188 subjects surveyed, the relationship between the perception of satisfaction with the health services received and the individual and contextual variables was studied, applying a multilevel analysis.


The factors of the socioeconomic and health contexts that influence satisfaction are: higher rates of low level of studies where the perception of excellence is less likely (odds ratio [OR]: 0.48-0.82) and dissatisfaction is more prevalent (OR: 1.46-1.63). Likewise, the proportion of unsatisfied citizens is lower when per capita expenditure on health services is very high (>1400 €) (OR: 0.49-0.87) and the ratio “primary health care physicians/inhabitants” is high (>60) (OR: 0.500.85). In addition, the prevalence of dissatisfaction describes a positive linear trend with the unemployment rate (OR: 1.12; p = 0.0001) and the relative magnitude of the services sector (OR: 1.03; p = 0.001). By contrast, this linear trend is negative as the Health Care Coverage Ratio increases (OR: 0.88; p = 0.04).


The individual factors that determine patient satisfaction are: sex, age, mental health and country of birth. In addition, there are differences in patient satisfaction among the autonomous communities according to socio-economic determinants such as GDP per capita, low-level study rates, unemployment rates or number of inhabitants/doctor's ratio. User satisfaction studies as well as being adjusted for individual variables such as sex, age or health level should also take into account characteristics of the socioeconomic environment of the geographic area where they reside.

Keywords : Patient satisfaction; Determinants; Quality assurance; Health care; Economic indexes; Multilevel analysis.

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