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Med Klin (Munich) ; 101(3): 226-34, 2006 Mar 15.
Article in German | MEDLINE | ID: mdl-16648980

ABSTRACT

BACKGROUND AND PURPOSE: Germany has the highest per capita rate of invasive cardiologic procedures in Europe. An aim of the SULEIKA study was to present a clearer picture of this important area of health care. METHODS: Clinical data along with social characteristics of patients were acquired by means of questionnaires. An additional survey was established to collect data about the treating institution. Clinical information was used to define the appropriateness of coronary angiographies and percutaneous coronary interventions. A possible impact of social or institutional characteristics on the appropriateness was examined. RESULTS: 549 of 709 diagnostic coronary angiographies (77.4%) were rated "appropriate", 54 (7.6%) as "equivocal", and 106 (15%) as "inappropriate". 245 of 317 coronary interventions (77.3%) were rated "appropriate", 40 (12.6%) as "equivocal", and 32 (10.1%) as "inappropriate". Social and institutional impact were found for invasive diagnostics but not for PCI. CONCLUSION: Social characteristics of patients and institutional characteristics have only a marginal impact on the indication of invasive cardiologic procedures. A trend toward "overdiagnostics" within the group of younger patients has been noticed, even in the case of missing hard medical evidence. A serious deficit of health care research can be found. Consented criteria to assess the appropriateness of medical treatments are missing. More research has to be done in the field of concepts and processes controlling the distribution and movement of patients into different sections of the health care system. Validated, standardized and comprehensive data for an international comparison of decisions about medical treatments are needed.


Subject(s)
Angioplasty, Balloon, Coronary/statistics & numerical data , Cardiac Catheterization/statistics & numerical data , Coronary Angiography/statistics & numerical data , Hospitals/statistics & numerical data , National Health Programs/statistics & numerical data , Socioeconomic Factors , Adult , Aged , Algorithms , Cross-Sectional Studies , Female , Germany , Health Services Misuse/statistics & numerical data , Health Surveys , Humans , Male , Middle Aged , Quality Assurance, Health Care/statistics & numerical data , Surveys and Questionnaires , Utilization Review/statistics & numerical data
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