Evidence map›Paper›PMID 36122592›Full record

ArticleApplied clinical informatics2022

Physician Perspectives on Implementation of Real-Time Benefit Tools: A Qualitative Study.

Jordan Everson, Christine C Whitmore, T Joseph Mattingly, Anna D Sinaiko, Stacie B Dusetzina

Abstract read
In one paragraph

Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Jordan EversonOffice of the National Coordinator for Health Information Technology, Washington, District of Columbia, United States.
Christine C WhitmoreDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
T Joseph MattinglyDepartment of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, Maryland, United States.
Anna D SinaikoDepartment of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States.
Stacie B DusetzinaDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCongress and Medicare have required real-time benefit tools (RTBT) to provide patient-specific medication price information during prescribing to decrease the cost of medications. We sought physicians' perspectives on how these tools might most effectively improve their selection of low-cost medication.

methodsWe conducted 15 semi-structured interviews of physicians (6 oncologists, 1 endocrinologist, 4 rheumatologists, and 4 from internal medicine) and identified key themes across interviews during coding and analysis.

resultsAlthough physicians saw value in real-time medication price information, they were wary of the complexity of obtaining specific information and the potential for inaccuracies. Physicians described how medication price information would be used in various prescribing scenarios including from simple substitutions (different drug formulations) to more complex decisions (different drug classes). In more complex situations, physicians were concerned that price information might only be available after discussing options with the patient, which would be too late to inform decisions. Concern about adding more information to the electronic health record was common.

conclusionWhile most physicians saw value in implementation of RTBTs, they also expressed concerns related to the accuracy of information, the availability of information at the right time in the clinical workflow, and the most effective format for information. Many concerns raised paralleled the "Five Rights of Clinical Decision Support" framework and indicate the need for additional design work to achieve benefit from RTBTs. Beyond the public policy that has supported the availability of RTBTs, substantial development will be required to ensure that information is used to improve prescribing decisions.

Indexed as

Decision Support Systems, ClinicalPhysiciansAgedElectronic Health RecordsHumansMedicareQualitative ResearchUnited States

Identifiers

PMID36122592
PMCPMC9646401

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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.