ArticleJournal of biomedical informatics2015
Making pharmacogenomic-based prescribing alerts more effective: A scenario-based pilot study with physicians.
Article in Journal of biomedical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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.
Who cites it
18 citing papers in PubMed.
- Diagnostic accuracy and usability of the EMBalance decision support system for vestibular disorders in primary care: proof of concept randomised controlled study results.Journal of neurology · 2022Trial
- The Critical Role of Pharmacists in the Clinical Delivery of Pharmacogenetics in the U.S.Pharmacy (Basel, Switzerland) · 2023Review
- Identification of Drugs Acting as Perpetrators in Common Drug Interactions in a Cohort of Geriatric Patients from Southern Italy and Analysis of the Gene Polymorphisms That Affect Their Interacting Potential.Geriatrics (Basel, Switzerland) · 2023Article
- Article
- Approaches to assessing the provider experience with clinical pharmacogenomic information: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Article
- The implementation of pharmacogenomics into UK general practice: a qualitative study exploring barriers, challenges and opportunities.Journal of community genetics · 2020Article
- Personalized Medicine Implementation with Non-traditional Data Sources: A Conceptual Framework and Survey of the Literature.Yearbook of medical informatics · 2019Review
- Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Integrating clinical decision support systems for pharmacogenomic testing into clinical routine - a scoping review of designs of user-system interactions in recent system development.BMC medical informatics and decision making · 2017Article
- Implementing Genomic Clinical Decision Support for Drug-Based Precision Medicine.CPT: pharmacometrics & systems pharmacology · 2017Review
- Primary care providers' use of pharmacist support for delivery of pharmacogenetic testing.Pharmacogenomics · 2017Article
- Value of Genetics-informed Drug Dosing Guidance in Pregnant Women: A Needs Assessment with Obstetric Healthcare Providers at Johns Hopkins.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- User-centered design of multi-gene sequencing panel reports for clinicians.Journal of biomedical informatics · 2016Article
- Integrating Pharmacogenomics into Clinical Practice: Promise vs Reality.The American journal of medicine · 2016Article
- Practical considerations for implementing genomic information resources. Experiences from eMERGE and CSER.Applied clinical informatics · 2016Article
- Article
- Advances in the Pharmacogenomics of Adverse Drug Reactions.Drug safety · 2016Review
- Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approach.International journal of medical informatics · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
To facilitate personalized drug dosing (PDD), this pilot study explored the communication effectiveness and clinical impact of using a prototype clinical decision support (CDS) system embedded in an electronic health record (EHR) to deliver pharmacogenomic (PGx) information to physicians. We employed a conceptual framework and measurement model to access the impact of physician characteristics (previous experience, awareness, relative advantage, perceived usefulness), technology characteristics (methods of implementation-semi-active/active, actionability-low/high) and a task characteristic (drug prescribed) on communication effectiveness (usefulness, confidence in prescribing decision), and clinical impact (uptake, prescribing intent, change in drug dosing). Physicians performed prescribing tasks using five simulated clinical case scenarios, presented in random order within the prototype PGx-CDS system. Twenty-two physicians completed the study. The proportion of physicians that saw a relative advantage to using PGx-CDS was 83% at the start and 94% at the conclusion of our study. Physicians used semi-active alerts 74-88% of the time. There was no association between previous experience with, awareness of, and belief in a relative advantage of using PGx-CDS and improved uptake. The proportion of physicians reporting confidence in their prescribing decisions decreased significantly after using the prototype PGx-CDS system (p=0.02). Despite decreases in confidence, physicians perceived a relative advantage to using PGx-CDS, viewed semi-active alerts on most occasions, and more frequently changed doses toward doses supported by published evidence. Specifically, sixty-five percent of physicians reduced their dosing, significantly for capecitabine (p=0.002) and mercaptopurine/thioguanine (p=0.03). These findings suggest a need to improve our prototype such that PGx CDS content is more useful and delivered in a way that improves physician's confidence in their prescribing decisions. The greatest increases in communication effectiveness and clinical impact of PGx-CDS are likely to be realized through continued focus on content, content delivery, and tailoring to physician characteristics.
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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.