Evidence map›Paper›PMID 32734200›Full record

ArticleKidney medicine

A Patient Decision Support Tool for Hepatitis C Virus and CKD Treatment.

Nerissa George, AnnMarie Liapakis, Kevin M Korenblat, Tingting Li, David Roth, Jerry Yee, Kevin J Fowler, Lehman Howard, Jingxia Liu, Mary C Politi

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03426787 (Development and Validation of a Shared-decision Making Tool for Initiation of Treatment in Patients With Hepatitis C Infection and Advanced Chronic Kidney Disease), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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.

NCT03426787 nacompletednot on this map

Development and Validation of a Shared-decision Making Tool for Initiation of Treatment in Patients With Hepatitis C Infection and Advanced Chronic Kidney Disease

TypeinterventionalSponsorWashington University School of MedicineRan2017 to 2019Enrolled70ConditionsHepatitis C, Chronic Kidney Diseases, Patient EducationArmsDecision Aid
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Nerissa GeorgeDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, MO.
AnnMarie LiapakisSection of Digestive Disease, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT.
Kevin M KorenblatDivision of Gastroenterology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO.
Tingting LiDivision of Nephrology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO.
David RothKatz Family Division of Nephrology and Hypertension, University of Miami Miller School of Medicine, Miami, FL.
Jerry YeeDivision of Nephrology, Hypertension & Transplant, Henry Ford Hospital and Medical Center, Detroit, MI.
Kevin J FowlerThe Voice of the Patient Inc, Elmhurst, IL.
Lehman HowardNational Kidney Foundation, Inc, Hamden, CT.
Jingxia LiuDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, MO.
Mary C PolitiDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, MO.
Washington University in St. Louis · USHenry Ford Hospital · USNational Kidney Foundation · USUniversity of Miami · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE &

objectivePatient education and decision support tools could facilitate decisions around the timing of antiviral therapy in patients living with both hepatitis C virus (HCV) infection and chronic kidney disease (CKD). We previously developed a tool through the HELP (Helping Empower Liver and Kidney Patients) study. This article evaluates the preliminary efficacy and usability of the tool among participants with both HCV infection and CKD. STUDY

designPre-post study pilot evaluation. SETTING &

participantsParticipants were at least 18 years old, were English speaking, and had a diagnosis of chronic HCV infection and CKD; they were seen in CKD clinics, dialysis units, and/or hepatology and liver transplantation clinics.

interventionElectronic patient decision support tool. OUTCOMES: Participants' change in knowledge, certainty about choice, decision self-efficacy, patients' treatment preferences, and tool usability.

results70 participants were recruited; 56 of 70 (80.0%) completed study procedures. Nearly all (51/56; 91.1%) requested paper-based study procedures despite the electronic design of the tool. Participants reported that they were most worried about the following treatment factors: (1) cost of drugs to treat HCV infection, (2) how their HCV infection affected their CKD, and (3) wait times for a kidney transplant. After using the decision tool, participants had significantly higher HCV infection and CKD knowledge (mean posttest percent of questions answered correctly = 65.74% vs pretest percent of questions answered correctly = 53.44%; LIMITATIONS: Single-site pilot study to explore preliminary tool efficacy and usability.

conclusionsThis study suggests that a decision tool may support informed patient-centered choices among patients with HCV infection and CKD. Future studies should evaluate ways to improve care decisions in a larger sample using both paper-based and electronic materials.

fundingMerck & Co, Inc, Kenilworth, NJ.

trial registrationRegistered at clinicaltrials.gov with study number NCT03426787.

Indexed as

chronic kidney diseasedecision aiddecision supporthepatitis C viruspatient education

Identifiers

PMID32734200
PMCPMC7380397
OpenAlexW2961403349

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.