Evidence map›Paper›PMID 25882398›Full record

Trial reportHealth services research2016

The Role of Outcome Forecasts in Patients' Treatment Decisions--Evidence from a Survey Experiment on Knee Replacement Surgery.

Iris Kesternich, Francis G Caro, Alison S Gottlieb, Susanne Hoffmann, Joachim K Winter

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. How New Technology Is Improving Physical Therapy.Current reviews in musculoskeletal medicine · 2020
    Review
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

5 authors.

Iris KesternichDepartment of Economics, University of Leuven, Leuven, Belgium.
Francis G CaroGerontology Institute, University of Massachusetts Boston, Boston, MA.
Alison S GottliebGerontology Institute, University of Massachusetts Boston, Boston, MA.
Susanne HoffmannDepartment of Economics, University of Munich, Munich, Germany.
Joachim K WinterDepartment of Economics, University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the effect of personalized outcome probabilities on treatment decisions. DATA SOURCE: American Life Panel. STUDY

designWe designed an experimental survey that respondents answered by recommending replacement surgery for hypothetical patients diagnosed with knee osteoarthritis. The primary manipulation was whether respondents were given personalized outcome probabilities for the patients. PRINCIPAL

findingsPatient-specific outcome forecasts significantly influenced decisions, with effect sizes comparable to those of physicians' opinions and patient testimonials. The presentation format also affected the probabilities' influence on choices. We did not find evidence that the educational level of subjects affected the weight that they give to outcome probabilities in making recommendations.

conclusionOur study points to a need for more research on the use of patient-specific outcome forecasts.

Indexed as

Decision MakingProbabilityAgedAged, 80 and overArthroplasty, Replacement, KneeFemaleHumansMaleMiddle AgedOsteoarthritis, KneePatient ParticipationTreatment Outcomedecision aidshypothetical choice experimentoutcome probabilitiesPatient treatment choice

Identifiers

PMID25882398
PMCPMC4722212

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.