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Improving Fast and ...
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Backlund, Lars G.Karolinska Institutet
(author)
Improving Fast and Frugal Modeling in Relation to Regression Analysis : Test of 3 Models for Medical Decision Making
- Article/chapterEnglish2009
Publisher, publication year, extent ...
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Sage Publications,2009
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:su-35325
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https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-35325URI
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https://doi.org/10.1177/0272989X08326091DOI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:118474339URI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Financial support for this study was provided entirely by a grant from Stockholm County Council.
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Background. A matching heuristic (MH) model of decision makinghas been evaluated previously in a series of studies on medicaldecision making. The authors' purpose is to evaluate an extendedMH model that considers the prevalence of cue values. Methods.Data from 2 previous studies were reanalyzed, one on judgmentsregarding drug treatment of hyperlipidemia and the other ondiagnosing heart failure. The original MH model and the extendedMH model were compared with logistic regression (LR) in termsof fit to actual judgments, number of cues, and the extent towhich the cues were consistent with clinical guidelines. Results. There was a slightly better fit with LR compared with MH. Theextended MH model gave a significantly better fit than the originalMH model in the drug treatment task. In the diagnostic task,the number of cues was significantly lower in the MH modelscompared to LR, whereas in the therapeutic task, LR could beless or more frugal than the matching heuristic models dependingon the significance level chosen for inclusion of cues. Forthe original MH model, but not for the extended MH model orLR, the most important cues in the drug treatment task wereoften used in a direction contrary to treatment guidelines.Conclusions. The extended MH model represents an improvementin that prevalence of cue values is adequately taken into account,which in turn may result in better fit and in better agreementwith medical guidelines in the evaluation of cues.
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Bring, JohanKarolinska Institutet
(author)
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Skånér, YlvaKarolinska Institutet
(author)
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Strender, Lars-ErikKarolinska Institutet
(author)
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Montgomery, HenryCenter for Family and Community Medicine, Karolinska Institutet, Huddinge, Sweden(Swepub:su)hmy
(author)
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Karolinska InstitutetCenter for Family and Community Medicine, Karolinska Institutet, Huddinge, Sweden
(creator_code:org_t)
Related titles
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In:Medical decision making: Sage Publications29:1, s. 140-1480272-989X1552-681X
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