dc.contributor.author | Hallan, Stein | |
dc.contributor.author | Rifkin, Dena E | |
dc.contributor.author | potok, olivia | |
dc.contributor.author | Langlo, Knut Asbjørn Rise | |
dc.contributor.author | Dekker, Friedo W. | |
dc.contributor.author | Ix, Joachim H. | |
dc.date.accessioned | 2020-09-29T11:12:12Z | |
dc.date.available | 2020-09-29T11:12:12Z | |
dc.date.created | 2020-02-19T10:07:10Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Kidney Medicine. 2020, 2 (3), | en_US |
dc.identifier.issn | 2590-0595 | |
dc.identifier.uri | https://hdl.handle.net/11250/2680254 | |
dc.description.abstract | Rationale & Objective
The Kidney Disease Outcome Quality Initiative (KDOQI) and Kidney Disease: Improving Global Outcomes (KDIGO) chronic kidney disease (CKD) classification systems published in 2002 and 2012, respectively, are recommended worldwide and based on strong epidemiologic data. However, their impact on CKD recognition and management is not well evaluated in clinical practice, and we therefore investigated whether they help physicians recognize and appropriately care for patients with CKD.
Study Design
Randomized vignette experiment with fractional factorial design based on 6 kidney-related scenarios and 3 laboratory presentation methods reflecting the CKD guidelines. Participants evaluated 1 of 3 subsets of the 18 vignettes (ie, 6 vignettes each with 4 answer alternatives).
Setting & Participants
249 interns, general practitioners, and residents/fellows attending postgraduate meetings and courses in Norway and the United States.
Intervention
Kidney-related results (serum creatinine level and urinary albumin excretion) were presented as the “minimal data” (high/low levels), KDOQI-2002 (estimated glomerular filtration rate [eGFR] reported automatically), or KDIGO-2012 (eGFR + albuminuria categorization + risk for complications) laboratory report.
Outcome
CKD management choice by physicians.
Results
When kidney laboratory data were presented as the KDOQI-2002 report (automatic eGFR calculation), there was a significantly higher odds for correct patient management decisions compared with the minimal data report (OR, 1.57; P < 0.001). Additional significant improvement was obtained with the KDIGO-2012 report (OR, 2.28 for correct answer vs minimal data report [P < 0.001]; OR, 1.45 compared to KDOQI-2002 report [P = 0.005]). The KDIGO classification system improved physician management in 4 of the 6 clinical scenarios covering a wide range of kidney-related topics. Interaction analysis showed that general practitioners and those with 1 to 3 years of internal medicine experience had the greatest improvements with the new presentation techniques.
Limitations
Physicians’ management was evaluated by theoretical scenarios rather than direct patient care.
Conclusions
Automatic GFR estimation, albuminuria categorization, and notification of the associated risk for complications improve most physicians` recognition and management of a wide range of CKD clinical scenarios. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Physicians’ Recognition and Management of Kidney Disease: A Randomized Vignette Study Evaluating the Impact of the KDIGO 2012 CKD Classification System | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.volume | 2 | en_US |
dc.source.journal | Kidney Medicine | en_US |
dc.source.issue | 3 | en_US |
dc.identifier.doi | 10.1016/j.xkme.2019.12.008 | |
dc.identifier.cristin | 1795679 | |
dc.description.localcode | This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |