Evidence map›Paper›PMID 29847252›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2018

The Effect of Total Cost Information on Consumer Treatment Decisions: An Experimental Survey.

Regina Kwon, Larry A Allen, Laura D Scherer, Jocelyn S Thompson, Madiha F Abdel-Maksoud, Colleen K McIlvennan, Daniel D Matlock

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Testing for a Sweet Spot in Randomized Trials.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
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 at 5 institutions in 1 country.

Regina KwonDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Larry A AllenDivision of Cardiology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Laura D SchererDepartment of Psychological Sciences, University of Missouri, Columbia, MO, USA.
Jocelyn S ThompsonAdult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado School of Medicine, Aurora, CO, USA.
Madiha F Abdel-MaksoudDepartment of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
Colleen K McIlvennanDivision of Cardiology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Daniel D MatlockAdult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado School of Medicine, Aurora, CO, USA.
Outcomes Research Consortium · USColorado School of Public Health · USJohns Hopkins Medicine · USUniversity of Colorado Denver · USUniversity of Missouri · US

Funding

Implanted Defibrillators and Older Adults: A Model of Decisions and TechnologiesK23AG040696 · NIA · UNIVERSITY OF COLORADO DENVER · PI MATLOCK, DANIEL D · 2011 to 2015
$716k
Addressing Gaps in Longitudinal Heart Failure Pharmacotherapy to Reduce RehospitaK23HL105896 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ALLEN, LARRY ALEXANDER · 2011 to 2015
$676k
NHLBI NIH HHS K23 HL105896NIA NIH HHS K23 AG040696
6 · The paper itself

Abstract

backgroundUnrestrained use of expensive, high-risk interventions runs counter to the idea of a limited medical commons.

objectiveTo examine the effect of displaying the total first-year cost of implanting a left ventricular assist device (LVAD) on a hypothetical treatment decision and whether this effect differs when choosing for oneself versus for another person.

designWe conducted an online survey in February 2016. The survey described the clinical course of end-stage heart failure and the risks and benefits of an LVAD. Participants were randomized to 1 of 4 scenarios, which varied by patient identity (oneself versus another person) and description of total cost. MEASUREMENTS: This study measured acceptance of LVAD implantation. Reasoning and attitudes were secondarily explored.

resultsWe received 1211 valid responses. The mean age was 38.3 y (±12.8); 53.5% were female and 84.4% were white. Participants were more likely to accept an LVAD when shown the total cost (66.2% v. 58.0%, P = 0.003) or when choosing for another (68.0 % v. 56.4%, P < 0.001). Open-ended responses indicated that acceptors wanted to extend survival while decliners feared poor quality of life with LVAD therapy. Acceptors and decliners agreed that consumers can help lower the cost of health care, but decliners were more likely to consider cost when making health care decisions ( P < 0.001). LIMITATIONS: Limitations include the use of a hypothetical scenario, the use of paid participants, and differences between the respondents and the typical patient facing an LVAD decision.

conclusionsIn this sample, being shown the total cost increased the likelihood of accepting an expensive, high-risk treatment. The results question how well consumers understand the relationship between expensive treatments and the commons.

Indexed as

Decision MakingHealth Care CostsHeart FailureAdultFemaleHealth Knowledge, Attitudes, PracticeHeart-Assist DevicesHumansMaleMiddle AgedQuality of LifeRandom AllocationSurveys and QuestionnairesSurvivalUnited Statesdecision aidsend-of-life careethicshealth care costspatient decision makingpreferencesquality of life

Identifiers

PMID29847252
PMCPMC5982108
OpenAlexW2806754863

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.