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dc.contributor.authorKrogstad, Hilde
dc.contributor.authorBrunelli, Cinzia
dc.contributor.authorSand, Kari
dc.contributor.authorAndersen, Eivind
dc.contributor.authorGarresori, Herish
dc.contributor.authorHalvorsen, Tarje Onsøien
dc.contributor.authorHaukland, Ellinor Christin
dc.contributor.authorJordal, Frode
dc.contributor.authorKaasa, Stein
dc.contributor.authorLoge, Jon Håvard
dc.contributor.authorLøhre, Erik Torbjørn
dc.contributor.authorRaj, Sunil Xavier
dc.contributor.authorHjermstad, Marianne Jensen
dc.date.accessioned2017-10-25T06:38:35Z
dc.date.available2017-10-25T06:38:35Z
dc.date.created2017-10-24T15:57:09Z
dc.date.issued2017
dc.identifier.issn2473-4276
dc.identifier.urihttp://hdl.handle.net/11250/2461970
dc.description.abstractPurpose Immediate transfer of patient-reported outcome measures (PROMs) for use in medical consultations is facilitated by electronic assessments. We aimed to describe the rationale and development of Eir version 3 (EirV3), a computer-based symptom assessment tool for cancer, with emphasis on content and user-friendliness. Methods EirV3’s specifications and content were developed through multiprofessional, stepwise, and iterative processes (from 2013 to 2016), with literature reviews on traditional and electronic assessment and classification methods, formative iterative usability tests with end-users, and assessment of patient preferences for paper versus electronic assessments. Results EirV3 has the following two modules: Eir-Patient for PROMs registration on tablets and Eir-Doctor for presentation of PROMs in a user-friendly interface on computers. Eir-Patient starts with 19 common cancer symptoms followed by specific, in-depth questions for endorsed symptoms. The pain section includes a body map for pain location and intensity, whereas physical functioning, nutritional intake, and well-being are standard questions for all. Data are wirelessly transferred to Eir-Doctor. Symptoms with intensity scores ≥ 3 (on a 0 to 10 scale) are marked in red, with brighter colors corresponding to higher intensity, and supplemented with graphs displaying symptom development over time. Usability results showed that patients and health care providers found EirV3 to be intuitive, easy to use, and relevant. When comparing PROM assessments on paper versus tablets (n = 114), 19% of patients preferred paper, 41% preferred tablets, and 40% had no preference. Median intraclass correlation coefficient between paper and tablets (0.815) was excellent. Conclusion Iterative test rounds followed by continuous improvements led to a user-friendly, applicable symptom assessment tool, EirV3, developed for and by end-users. EirV3 is undergoing international testing of clinical and cross-cultural adaptability.nb_NO
dc.language.isoengnb_NO
dc.publisherAmerican Society of Clinical Oncologynb_NO
dc.titleDevelopment of EirV3 - a computer-based tool for patient reported outcome measures in cancernb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.journalJCO Clinical Cancer Informaticsnb_NO
dc.identifier.doi10.1200/CCI.17.00051
dc.identifier.cristin1507355
dc.description.localcodeClin Cancer Inform. © 2017 by American Society of Clinical Oncology. LOCKED until 1.2.2018 due to copyright restrictions.nb_NO
cristin.unitcode194,65,15,0
cristin.unitcode194,0,0,0
cristin.unitnameInstitutt for klinisk og molekylær medisin
cristin.unitnameNorges teknisk-naturvitenskapelige universitet
cristin.ispublishedtrue
cristin.fulltextpreprint


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