Literature DB >> 35771343

[Digitally supported rheumatological screening consultation : How useful is a questionnaire scoring system (RhePort)?]

Andreas Engel1, Julia Brandl2, Ino K Gao3, Swen Jacki4, Maria-Anna Meier3, Sven Weidner5, Jörg Henes2.   

Abstract

Regarding scarce capacities an early detection consultation (EDC) was established to discriminate patients in an outpatient setting with inflammatory from non-inflammatory rheumatic diseases. A total of 500 patients suspected of having a rheumatic disease received an appointment within 2 weeks. They were interviewed with the help of a digital questionnaire (RhePort), briefly physically examined followed by a determination of CRP. The questionnaire answers were scored using an algorithm within RhePort (from 0 = non-inflammatory to 4 = highly probably inflammatory). Likewise, after completion of the EDC, the rheumatologists scored the overall assessment. The RhePort score and EDC score were compared with the "true" diagnosis made in a detailed second examination after an average of 10 weeks. In 490 evaluable patients 133 inflammatory (27%) and 357 noninflammatory rheumatic diseases (73%) were diagnosed. A classification based solely on the RhePort questionnaire (score > 1) identified 103 out of 129 as inflammatory (sens. 80%) and 125 out of 355 as non-inflammatory (spec. 35%) resulting in an AUC of 0.62 after ROC analysis. With a score > 1, the rheumatological assessment after EDC classified 130 out of 133 patients as inflammatory (sensitivity 98%) and 261 out of 357 as non-inflammatory (specificity 73%). The combined EDC can decisively increase the sensitivity and specificity compared to an "automated" survey by means of a digital questionnaire alone. In addition to the early identification and treatment of inflammatory patients, rapid identification of patients who are not in need of rheumatological treatment can create capacities for care.
© 2022. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.

Entities:  

Keywords:  Digital questionnaire; Early detection consultation; RhePort; Rheumatic disease; Screening

Mesh:

Year:  2022        PMID: 35771343     DOI: 10.1007/s00393-022-01230-4

Source DB:  PubMed          Journal:  Z Rheumatol        ISSN: 0340-1855            Impact factor:   1.530


  1 in total

Review 1.  Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand?

Authors:  Hugo Bergier; Loïc Duron; Christelle Sordet; Lou Kawka; Aurélien Schlencker; François Chasset; Laurent Arnaud
Journal:  Autoimmun Rev       Date:  2021-06-09       Impact factor: 9.754

  1 in total

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