Since war activities, the previously mixed population of Mostar, Bosnia and Herzegovina, live in segregated parts of the town based on ethnicity. The aim of this study was to examine differences in health risks and health status between populations of the two parts of the town. Health status of 300 randomly selected primary care patients was evaluated by practicing family physicians in two main primary care centers in West and East Mostar. Each group consisted of 150 patients. Data were collected between December 2013 and May 2014. Patients were evaluated for smoking habit, alcohol consumption, body mass index, blood pressure and laboratory measurement of fasting glycemia. Family physicians provided diagnosis of chronic noninfectious diseases (hypertension, diabetes mellitus, cardiovascular disease, malignant disease, depression, and alcoholism). The two groups differed according to age, income, employment status, and rate of alcoholism and hypertension. Alcoholism (OR= 4.105; 95% CI 2.012-8.374) and hypertension (OR=1.972; 95% CI 1.253-3.976) were associated with inhabitants of West Mostar, adjusted for age, employment and income status on logistic regression. In conclusion, ethnic differences between inhabitants of the two parts of the town might influence health outcomes. These are preliminary data and additional studies with larger samples and more specific questions considering nutrition and cultural issues are needed to detect the potential differences between the groups.

Aim: To determine the rural–urban differences in primary care practice, hospital inpatient care and total services. Methods: This cross-sectional study used data from Zenica-Doboj Canton in Federation of Bosnia and Herzegovina (FBiH). The overall sample size for the study was 1,995. Individual interviews were conducted in one randomly selected day of the week, except Monday and Friday, on the basis of EUROPEP (European Task Force on Patient Evaluations of General Practice Care) standardized questionnaire. Results: Out of total number (n=1 995), 47.9% was urban population and median of age was 42 years for both populations. The most of urban residents (81.4%) had finished high school or higher education compared with rural residents (58.5%) (p < 0.001). There are significant differences in employment status between rural and urban population (p < 0.001). Rural residents are more likely to travel more than 15 minutes to see their health facilities compared with urban residents (61.7% vs. 24.4%, respectively). Median of distance (kilometers) from residence location to the nearest hospital was statistically significantly higher in rural Me = 8.0 (5.0 do 14.5) km compared to urban population Me = 1.5 (1.0 to 3.0) km (p < 0.001). The rural population was more likely to buy drugs for medical treatment (p < 0.001) and parenteral injections in primary care practice (p < 0.001). Conclusion: There are significant differences in the overall health care assessment of rural populations as compared to urban populations.