Evidence map›Paper›PMID 35177360›Full record

ArticleJoint Commission journal on quality and patient safety2022

Addressing the Drivers of Medical Test Overuse and Cascades: User-Centered Design to Improve Patient-Doctor Communication.

Robert S Rudin, Nitya Thakore, Kathleen L Mulligan, Ishani Ganguli

Open access · hybridAbstract read
In one paragraph

Article in Joint Commission journal on quality and patient safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors.

Robert S Rudin
Nitya Thakore
Kathleen L Mulligan
Ishani Ganguli

Funding

The Role of Virtual Care in Improving Primary Care Access and Continuity for At-Risk Multimorbid Older AdultsK23AG068240 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI GANGULI, ISHANI · 2021 to 2025
$842k
NIA NIH HHS K23 AG068240
6 · The paper itself

Abstract

backgroundLow-value medical testing is a major component of health care overuse, both directly and through the potential for borderline and/or incidental results to trigger cascades (downstream services of uncertain value). The costs and harms from marginal test results and their cascades can add up. It is thus important to both prevent low-value tests at the outset and mitigate cascades when they arise.

methodsInformed by a framework for understanding and reducing overuse of care, this study employed user-centered design methods (focus groups and 1:1 design meetings) with patients and primary care physicians (PCPs) to understand the problem and iteratively develop an intervention.

resultsDesign meetings with 15 PCPs, 12 patients, and 3 patient focus groups revealed myriad drivers for medical test overuse and cascades. Patients commonly believed that all medical tests yield definitive results and lack downsides. PCPs cited expert recommendations, limited time during visits, fear of lawsuits, and desire to be responsive to patients as reasons for ordering potentially low-value medical tests. To address these issues, an intervention was designed using patient pre-visit educational materials, clinician reference materials on test interpretation and incidental findings, and clinician peer comparison on test overuse.

conclusionOveruse of medical testing is driven by a range of factors related to PCPs, patients, and their interactions. Multipronged interventions may have the potential to address these drivers after they are rigorously tested.

Indexed as

Physician-Patient RelationsUser-Centered DesignCommunicationFocus GroupsHumansMedical Overuse

Identifiers

PMID35177360
PMCPMC9941976
OpenAlexW4210689155

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.