Evidence map›Paper›PMID 29689133›Full record

ArticleJournal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing2018

Behavioral Economics: A New Lens for Understanding Genomic Decision Making.

Scott Emory Moore, Holley H Ulbrich, Kenneth Hepburn, Bonnie Holaday, Rachel Mayo, Julia Sharp, Rosanne H Pruitt

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In one paragraph

Article in Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Scott Emory MooreAlpha Mu, Gamma Mu, Mu Rho, Phi Gamma, Post-Doctoral Fellow, Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, USA.ORCID 0000-0002-4294-1429
Holley H UlbrichAlumni Distinguished Professor Emerita of Economics, Clemson University, Clemson, SC, USA.
Kenneth HepburnProfessor, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Bonnie HoladayGamma Mu, Professor Emerita of Nursing, Clemson University, Clemson, SC, USA.
Rachel MayoProfessor, Department of Public Health, Clemson University, Clemson, SC, USA.
Julia SharpAssociate Professor, Department of Statistics, Colorado State University, Fort Collins, CO, USA.
Rosanne H PruittGamma Mu, Professor, School of Nursing, Clemson University, Clemson, SC, USA.

Funding

Multiple Chronic Conditions_Interdisciplinary Nurse Scientist TrainingT32NR015433 · NINR · CASE WESTERN RESERVE UNIVERSITY · PI MOORE, SHIRLEY M · 2015 to 2019
$1.9M
Student Provider Perceptions of Latino Patients in Cancer Care SettingsR15CA135349 · NCI · CLEMSON UNIVERSITY · PI MAYO, RACHEL M, SHERRILL, WINDSOR WESTBROOK · 2010 to 2010
$220k
NCI NIH HHS R15 CA135349NINR NIH HHS T32 NR015433
6 · The paper itself

Abstract

purposeThis article seeks to take the next step in examining the insights that nurses and other healthcare providers can derive from applying behavioral economic concepts to support genomic decision making. As genomic science continues to permeate clinical practice, nurses must continue to adapt practice to meet new challenges. Decisions associated with genomics are often not simple and dichotomous in nature. They can be complex and challenging for all involved.

designThis article offers an introduction to behavioral economics as a possible tool to help support patients', families', and caregivers' decision making related to genomics.

methodsUsing current writings from nursing, ethics, behavioral economic, and other healthcare scholars, we review key concepts of behavioral economics and discuss their relevance to supporting genomic decision making.

findingsBehavioral economic concepts-particularly relativity, deliberation, and choice architecture-are specifically examined as new ways to view the complexities of genomic decision making. Each concept is explored through patient decision making and clinical practice examples. This article also discusses next steps and practice implications for further development of the behavioral economic lens in nursing.

conclusionsBehavioral economics provides valuable insight into the unique nature of genetic decision-making practices. CLINICAL RELEVANCE: Nurses are often a source of information and support for patients during clinical decision making. This article seeks to offer behavioral economic concepts as a framework for understanding and examining the unique nature of genomic decision making. As genetic and genomic testing become more common in practice, it will continue to grow in importance for nurses to be able to support the autonomous decision making of patients, their families, and caregivers.

Indexed as

Clinical Decision-MakingEconomics, BehavioralGenomicsCaregiversChoice BehaviorHumansBehavioral economicsdecision-makinggenomicsnursing

Identifiers

PMID29689133
PMCPMC5945317

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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.