Inequalities that hurt: demographic, socio-economic and health status inequalities in the utilization of health services in Serbia. 2010

Janko Janković, and Snezana Simić, and Jelena Marinković
Institute of Social Medicine, School of Medicine, University of Belgrade, Belgrade, Serbia. drjankojankovic@yahoo.com

BACKGROUND The aim of this study was to analyse demographic, socio-economic and health status inequalities by gender in the utilization of health services in Serbia. METHODS Data from 2006 National Health Survey for Serbia were used. A total of 14,522 persons from six geographical regions of Serbia aged >or=20 years were completely interviewed. Logistic regression analyses were used to study the effects of demographic (age, gender, marital status and type of settlement), socio-economic (education and Wealth Index) and health status (self-perceived health) variables on the utilization of health services [visits to general practitioner (GP), private doctor, dentist and hospitalization]. All analyses were carried out separately for males and females. RESULTS As compared with women (reference category), a lower percentage of men visited a GP [odds ratio (OR) = 0.61; 95% confidence interval (95% CI) = 0.57-0.65], private doctor (OR = 0.62; 95% CI = 0.57-0.67) and dentist (OR = 0.81; 95% CI = 0.76-0.87), but there were no gender differences in hospitalization. Both males and females who belong to disadvantaged classes were less likely to have visited a GP, a private doctor or a dentist in 12 months before the interview, regardless of their health status. No inequalities by social class were observed for the hospitalization among persons with poor self-perceived health status, i.e. those in most need. CONCLUSIONS This study has shown that demographic, socio-economic and health status inequalities in the utilization of health services exist in Serbia. Wise health policy with equitable utilization of health services, regardless these inequalities should be a priority in shaping Serbian health care system reform.

UI MeSH Term Description Entries
D007407 Interviews as Topic Works about conversations with an individual or individuals held in order to obtain information about their background and other personal biographical data, their attitudes and opinions, etc. It includes works about school admission or job interviews. Group Interviews,Interviewers,Interviews, Telephone,Oral History as Topic,Group Interview,Interview, Group,Interview, Telephone,Interviewer,Interviews, Group,Telephone Interview,Telephone Interviews
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D005260 Female Females
D006296 Health Services Services for the diagnosis and treatment of disease and the maintenance of health. Services, Health,Health Service
D006306 Health Surveys A systematic collection of factual data pertaining to health and disease in a human population within a given geographic area. Abortion Surveys,Abortion Survey,Health Survey,Survey, Abortion,Survey, Health,Surveys, Abortion,Surveys, Health
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012737 Sex Factors Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances. Factor, Sex,Factors, Sex,Sex Factor

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