Evidence map›Paper›PMID 27502770›Full record

ReviewImplementation science : IS2016

Implementing shared decision-making: consider all the consequences.

Glyn Elwyn, Dominick L Frosch, Sarah Kobrin

Registry-linked trialAbstract readReview
In one paragraph

Review in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06980103 (Use of a Decision Aid to Resolve Uncertainty About Radioactive Iodine Treatment in Patients With Intermediate Risk Thyroid Cancer), which is not on this map. Cited by 194 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 12 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.

NCT06980103 narecruitingnot on this mapstarted 2025, after this paper: background citation

Use of a Decision Aid to Resolve Uncertainty About Radioactive Iodine Treatment in Patients With Intermediate Risk Thyroid Cancer: The Radiance Trial

TypeinterventionalSponsorGeorgetown UniversityRan2025 to 2029Enrolled408ConditionsThyroid CancerArmsDecision Aid, Usual Care
3 · Its place in the literature

Who cites it

194 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  5. Breast Cancer Care Quality Indicators in Spain: A Systematic Review.International journal of environmental research and public health · 2021
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  7. Shared decision making in breast cancer treatment guidelines: Development of a quality assessment tool and a systematic review.Health expectations : an international journal of public participation in health care and health policy · 2020
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  11. Barriers and facilitators to shared decision-making in oncology: a systematic review of the literature.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
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134 more citing papers are in PubMed but not listed here.

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

3 authors.

Glyn ElwynThe Dartmouth Institute for Health Policy and Clinical Practice, 37 Dewey Field Road, Hanover, NH, 03755, USA. glynelwyn@gmail.com.ORCID http://orcid.org/0000-0002-0917-6286
Dominick L FroschPalo Alto Medical Foundation Research Institute, 795 El Camino Real, Palo Alto, CA, 94301, USA.
Sarah KobrinNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ethical argument that shared decision-making is "the right" thing to do, however laudable, is unlikely to change how healthcare is organized, just as evidence alone will be an insufficient factor: practice change is governed by factors such as cost, profit margin, quality, and efficiency. It is helpful, therefore, when evaluating new approaches such as shared decision-making to conceptualize potential consequences in a way that is broad, long-term, and as relevant as possible to multiple stakeholders. Yet, so far, evaluation metrics for shared decision-making have been mostly focused on short-term outcomes, such as cognitive or affective consequences in patients. The goal of this article is to hypothesize a wider set of consequences, that apply over an extended time horizon, and include outcomes at interactional, team, organizational and system levels, and to call for future research to study these possible consequences. MAIN ARGUMENT: To date, many more studies have evaluated patient decision aids rather than other approaches to shared decision-making, and the outcomes measured have typically been focused on short-term cognitive and affective outcomes, for example knowledge and decisional conflict. From a clinicians perspective, the shared decision-making process could be viewed as either intrinsically rewarding and protective, or burdensome and impractical, yet studies have not focused on the impact on professionals, either positive or negative. At interactional levels, group, team, and microsystem, the potential long-term consequences could include the development of a culture where deliberation and collaboration are regarded as guiding principles, where patients are coached to assess the value of interventions, to trade-off benefits versus harms, and assess their burdens-in short, to new social norms in the clinical workplace. At organizational levels, consistent shared decision-making might boost patient experience evaluations and lead to fewer complaints and legal challenges. In the long-term, shared decision-making might lead to changes in resource utilization, perhaps to reductions in cost, and to modification of workforce composition. Despite the gradual shift to value-based payment, some organizations, motivated by continued income derived from achieving high volumes of procedures and contacts, will see this as a negative consequence.

conclusionWe suggest that a broader conceptualization and measurement of shared decision-making would provide a more substantive evidence base to guide implementation. We outline a framework which illustrates a hypothesized set of proximal, distal, and distant consequences that might occur if collaboration and deliberation could be achieved routinely, proposing that well-informed preference-based patient decisions might lead to safer, more cost-effective healthcare, which in turn might result in reduced utilization rates and improved health outcomes.

Indexed as

Decision MakingClinical Decision-MakingCooperative BehaviorHealth Plan ImplementationHumansPatient ParticipationPatient PreferenceCollaborative deliberationConceptual modelImplementationMeasurementMultilevelPatient-centered carePractice improvementQuality improvementShared decision making

Identifiers

PMID27502770
PMCPMC4977650

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.