Literature DB >> 18322772

[RheumaCheck: development and evaluation of a German language screening instrument for rheumatic diseases].

Jutta G Richter1, Ewa Wessel, Ralf Klimt, Reinhardt Willers, Matthias Schneider.   

Abstract

OBJECTIVE: Early diagnosis of inflammatory rheumatic diseases is important for patients' prognosis and outcome. The mean time delay of 1 to 5 years in Germany between the initial symptoms and the first rheumatologist contact should be reduced. Efficiency of patient questionnaires for the identification of inflammatory rheumatic diseases has been demonstrated in other countries. The aim of our study was to develop a patient questionnaire in German identifying inflammatory rheumatic diseases with a high sensitivity and specificity as well as a high positive predictive value. PATIENTS AND METHODS: The RheumaCheck questionnaire was developed by adoption of the FDA-approved Connective Tissue Disease Screening Questionnaire. 1448 patients (195 controls, 437 patients suspicious for and 816 patients with known inflammatory rheumatic diseases) recruited by rheumatologists and general practitioners answered the questionnaire that additionally assessed comorbidities and sociodemographic data. A predictive algorithm was calculated.
RESULTS: Mean age of the complete group (73.1% female) was 52.5 +/- 15.1 years. 53.1% had no comorbidity. Application of the algorithm yields a high sensitivity (77.6%) and specificity (79.9%). The area under the ROC curve was 0.85 (p < 0.0001).
CONCLUSION: Being aware of a possible high rate of false true results RheumaCheck is a simple, efficient instrument easily filled out by patients. It can identify the group of patients that needs further investigation, care and assessment by a rheumatologist leading to earlier diagnosis and therapy. A web version of RheumaCheck is provided on www.rheuma-check.de .

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Year:  2008        PMID: 18322772     DOI: 10.1007/s00508-008-0929-1

Source DB:  PubMed          Journal:  Wien Klin Wochenschr        ISSN: 0043-5325            Impact factor:   1.704


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