Evidence map›Paper›PMID 33555044›Full record

ArticlePacing and clinical electrophysiology : PACE2021

Development of a measure of decision quality for implantable defibrillators.

Christopher E Knoepke, Larry A Allen, Karen Sepucha, Frederick A Masoudi, Jean Kutner, Paul Varosy, David Magid, Daniel D Matlock

Open access · greenAbstract readValidation Study
In one paragraph

Article in Pacing and clinical electrophysiology : PACE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Christopher E KnoepkeDepartment of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA.ORCID 0000-0003-3521-7157
Larry A AllenDepartment of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Karen SepuchaDepartment of Medicine, Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Frederick A MasoudiDepartment of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Jean KutnerDepartment of Medicine, Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Paul VarosyDepartment of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
David MagidDepartment of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Daniel D MatlockAdult and Child Consortium for Outcomes Research and Delivery Science, University of Colorado School of Medicine, Aurora, Colorado, USA.
University of Colorado Denver · USOutcomes Research Consortium · USVA Eastern Colorado Health Care System · US

Funding

Decision Support for Older and Frail Patients Considering Advanced Cardiovascular Therapies: Improving Models of Personal Values ClarificationK23HL153892 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI KNOEPKE, CHRISTOPHER · 2020 to 2024
$824k
NHLBI NIH HHS K23 HL153892
6 · The paper itself

Abstract

backgroundCMS reimbursement guidelines for implantable cardioverter-defibrillators (ICDs) include mandated shared decision making (SDM), but without any manner of assessing the quality of decisions made. We developed and tested a scale meant to assess patients' knowledge of and preferences specific to ICDs. Such a tool would assess these constructs in the clinical environment, targeting resources and support for patients considering a primary prevention ICD.

methodsDevelopment of the ICD decision quality (ICD-DQ) scale included (1) item creation, (2) content validation using surveys of patients (n = 23) and clinicians (n = 31), and (3) examination of validity and reliability using a survey of patients who previously received an ICD (n = 295, response rate = 72%).

resultsThe final scale consists of 12 knowledge and 8 preference items. With respect to content validity, clinician and patient respondents agreed on the importance of 19 of 24 candidate knowledge items (79%), and 9 of 11 treatment preference items (81%). Knowledge items exhibited moderate internal validity (α = 0.62, 1 factor), strong test-retest reliability (mean % correct at first administration = 59%, 62% at follow-up, P > .1) and discriminant validity (59% correct for patients, 93% among cardiologists). Short versions of the ICD-DQ were developed for clinical settings, the scores from both of which correlated with the long version in this cohort (11-item (r = 0.90) and a 5-item (r = 0.75)).

conclusionsThe ICD-DQ fills a critical gap in measuring the quality of patients' ICD decisions. They may be used to evaluate the effectiveness of patient decision aids or the quality of SDM in clinical practice.

Indexed as

Decision Making, SharedDefibrillators, ImplantableHealth Knowledge, Attitudes, PracticeAgedAged, 80 and overFemaleHumansMaleMiddle AgedReproducibility of Resultsimplantable cardioverter-defibrillatorpatient-centered carequality measuresshared decision making

Identifiers

PMID33555044
PMCPMC8038966
OpenAlexW3126909382

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.