Healthcare Utilization and All-Cause Premature Mortality in Hungarian Segregated Roma Settlements: Evaluation of Specific Indicators in a Cross-Sectional Study

• Published in: International journal of environmental research and public health 2018-08, Vol.15 (9), p.1835
• Main Authors: Sándor, János, Pálinkás, Anita, Vincze, Ferenc, Kovács, Nóra, Sipos, Valéria, Kőrösi, László, Falusi, Zsófia, Pál, László, Fürjes, Gergely, Papp, Magor, Ádány, Róza
• Format: Article
• Language: English
• Subjects: Adult; Adults; Cardiovascular disease; Confidence intervals; Cross-Sectional Studies; Female; Health care; Health insurance; Health services utilization; Health Status; Humans; Hungary; Indicators; Insurance, Health; Male; Middle Aged; Minority & ethnic groups; Minority Groups; Mortality; Mortality, Premature; Patient Acceptance of Health Care; Premature mortality; Preventive medicine; Roma; Romani people; Settlements; Social Segregation
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph15091835

Roma is the largest ethnic minority of Europe with deprived health status, which is poorly explored due to legal constrains of ethnicity assessment. We aimed to elaborate health indicators for adults living in segregated Roma settlements (SRS), representing the most vulnerable Roma subpopulation. SRSs were mapped in a study area populated by 54,682 adults. Records of all adults living in the study area were processed in the National Institute of Health Insurance Fund Management. Aggregated, age-sex standardized SRS-specific and non-SRS-specific indicators on healthcare utilization and all-cause premature death along with the ratio of them (RR) were computed with 95% confidence intervals. The rate of GP appointments was significantly higher among SRS inhabitants (RR = 1.152, 95% CI: 1.136⁻1.167). The proportion of subjects hospitalized (RR = 1.286, 95% CI: 1.177⁻1.405) and the reimbursement for inpatient care (RR = 1.060, 95% CI: 1.057⁻1.064) were elevated for SRS. All-cause premature mortality was significantly higher in SRSs (RR = 1.711, 1.085⁻2.696). Our study demonstrated that it is possible to compute the SRS-specific version of routine healthcare indicators without violating the protection of personal data by converting a sensitive ethical issue into a non-sensitive small-area geographical analysis; there is an SRS-specific healthcare utilization pattern, which is associated with elevated costs and increased risk of all-cause premature death.