Evidence map›Paper›PMID 39377500›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2024

From Calculation to Communication: Using Risk Score Calculators to Inform Clinical Decision Making and Facilitate Patient Engagement.

Hoda Fakhari, Courtney L Scherr, Sydney Moe, Christin Hoell, Maureen E Smith, Laura J Rasmussen-Torvik, Rex L Chisholm, Elizabeth M McNally

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
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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

8 authors.

Hoda FakhariDepartment of Communication Studies, School of Communication, Northwestern University, Evanston, IL, USA.ORCID 0009-0003-0323-0880
Courtney L ScherrDepartment of Communication Studies, School of Communication, Northwestern University, Evanston, IL, USA.ORCID 0000-0001-9362-5410
Sydney MoeDepartment of Communication Studies, School of Communication, Northwestern University, Evanston, IL, USA.
Christin HoellDepartment of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Maureen E SmithCenter for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Laura J Rasmussen-TorvikDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Rex L ChisholmCenter for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Elizabeth M McNallyCenter for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

Northwestern Genomic Risk Assessment and Management ProgramU01HG011169 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI REX L CHISHOLM, Elizabeth M McNally · 2020 to 2026
$7.4M
NHGRI NIH HHS U01 HG011169
6 · The paper itself

Abstract

backgroundRisk score calculators are a widely developed tool to support clinicians in identifying and managing risk for certain diseases. However, little is known about physicians' applied experiences with risk score calculators and the role of risk score estimates in clinical decision making and patient communication.

methodsPhysicians providing care in outpatient community-based clinical settings (

resultsParticipants referenced at least 20 risk score calculators, the most common being the Atherosclerotic Cardiovascular Disease Risk Calculator. Ecological factors related to the clinical system (e.g., time), patient (e.g., receptivity), and physician (e.g., experience) influenced conditions and patterns of risk score calculator use. For example, compared with attending physicians, residents tended to use a greater variety of risk score calculators and with higher frequency. Risk score estimates were generally used in clinical decision making to improve or validate clinical judgment and in patient communication to serve as a motivational tool.

conclusionsThe degree to which risk score estimates influenced physician decision making and whether and how these scores were communicated to patients varied, reflecting a nuanced role of risk score calculator use in clinical practice. The theory of planned behavior can help explain how attitudes, beliefs, and norms shape the use of risk score estimates in clinical decision making and patient communication. Additional research is needed to evaluate best practices in the use of risk score calculators and risk score estimates. HIGHLIGHTS: The risk score calculators and estimates that participants referenced in this study represented a range of conditions (e.g., heart disease, anxiety), levels of model complexity (e.g., probability calculations, scales of severity), and output formats (e.g., point estimates, risk intervals).Risk score calculators that are easily accessed, have simple inputs, and are trusted by physicians appear more likely to be used.Risk score estimates were generally used in clinical decision making to improve or validate clinical judgment and in patient communication to serve as a motivational tool.Risk score estimates helped participants manage the uncertainty and complexity of various clinical situations, yet consideration of the limitations of these estimates was relatively minimal.Developers of risk score calculators should consider the patient- (e.g., response to risk score estimates) and physician- (e.g., training status) related characteristics that influence risk score calculator use in addition to that of the clinical system.

Indexed as

Clinical Decision-MakingCommunicationPatient ParticipationPhysician-Patient RelationsAdultFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchRisk Assessmentclinical decision makingrisk communicationrisk score calculator

Identifiers

PMID39377500
PMCPMC12958491

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.