Evidence map›Paper›PMID 25591499›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2015

Behavioral stage of change and dialysis decision-making.

Suma Prakash, Anna McGrail, Steven A Lewis, Jesse Schold, Mary Ellen Lawless, Ashwini R Sehgal, Adam T Perzynski

Abstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
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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

7 authors.

Suma PrakashDivision of Nephrology, Department of Medicine, MetroHealth Medical Center, Cleveland, Ohio; Division of Nephrology, Department of Medicine, Case Western Reserve University, Cleveland, Ohio; suma74@gmail.com suma.prakash@case.edu.
Anna McGrailResearch Institute, MetroHealth Medical Center, Cleveland, Ohio;
Steven A LewisCenter of Health Care Research and Policy, MetroHealth Medical Center, Cleveland, Ohio; Department of Medicine, MetroHealth Medical Center, Cleveland, Ohio;
Jesse ScholdDepartment of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio; and.
Mary Ellen LawlessDepartment of Medicine, MetroHealth Medical Center, Cleveland, Ohio; Department of Medicine, Case Western Reserve University, Cleveland, Ohio.
Ashwini R SehgalDivision of Nephrology, Department of Medicine, MetroHealth Medical Center, Cleveland, Ohio; Division of Nephrology, Department of Medicine, Case Western Reserve University, Cleveland, Ohio;
Adam T PerzynskiDepartment of Medicine, MetroHealth Medical Center, Cleveland, Ohio; Department of Medicine, Case Western Reserve University, Cleveland, Ohio.

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1-TR000439NIMHD NIH HHS P60-MD00265
6 · The paper itself

Abstract

BACKGROUND AND

objectivesBehavioral stage of change (SoC) algorithms classify patients' readiness for medical treatment decision-making. In the precontemplation stage, patients have no intention to take action within 6 months. In the contemplation stage, action is intended within 6 months. In the preparation stage, patients intend to take action within 30 days. In the action stage, the change has been made. This study examines the influence of SoC on dialysis modality decision-making. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: SoC and relevant covariates were measured, and associations with dialysis decision-making were determined. In-depth interviews were conducted with 16 patients on dialysis to elicit experiences. Qualitative interview data informed the survey design. Surveys were administered to adults with CKD (eGFR≤25 ml/min/1.73 m(2)) from August, 2012 to June, 2013. Multivariable logistic regression modeled dialysis decision-making with predictors: SoC, provider connection, and dialysis knowledge score.

resultsFifty-five patients completed the survey (71% women, 39% white, and 59% black), and median annual income was $17,500. In total, 65% of patients were in the precontemplation/contemplation (thinking) and 35% of patients were in the preparation/maintenance (acting) SoC; 62% of patients had made dialysis modality decisions. Doctors explaining modality options, higher dialysis knowledge scores, and fewer lifestyle barriers were associated with acting versus thinking SoC (all P<0.02). Patients making modality decisions had doctors who explained dialysis options (76% versus 43%), were in the acting versus the thinking SoC (50% versus 10%), had higher dialysis knowledge scores (1.4 versus 0.5), and had lower eGFR (13.9 versus 16.8 ml/min/1.73 m(2); all P<0.05). In adjusted analyses, dialysis knowledge was significantly associated with decision-making (odds ratio, 4.2; 95% confidence interval, 1.4 to 12.9; P=0.01), and SoC was of borderline significance (odds ratio, 5.8; 95% confidence interval, 1.0 to 32.6; P=0.05). The model C statistic was 0.87.

conclusionsDialysis decision-making was associated with SoC, dialysis knowledge, and physicians discussing treatment options. Future studies determining ways to assist patients with CKD in making satisfying modality decisions are warranted.

Indexed as

AlgorithmsChoice BehaviorHealth BehaviorHealth Knowledge, Attitudes, PracticePatient ParticipationAdultAgedAttitude of Health PersonnelCommunicationCross-Sectional StudiesFemaleHealth Care SurveysHealth LiteracyHumansIntentionInterviews as Topicchronic renal insufficiencyclinical nephrologydialysisESRD

Identifiers

PMID25591499
PMCPMC4317741

What OpenQuestion holds

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Registered trials

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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.