Literature DB >> 30698811

Physician Responses to Enhanced Prescription Drug Monitoring Program Profiles.

Gillian Leichtling1, Christi Hildebran1, Kevin Novak1, Lindsey Alley1, Sheri Doyle2, Cynthia Reilly3, Scott G Weiner4,5.   

Abstract

OBJECTIVE: Many states have begun implementing enhancements to PDMP patient profiles such as summaries or graphics to highlight issues of concern and enhance comprehension. The purpose of this study was to examine how physicians respond to sample enhanced PDMP profiles based on patient vignettes.
DESIGN: Brief semistructured interviews with physicians.
SETTING: Three national medical conferences for targeted specialties.
SUBJECTS: Ninety-three physicians practicing in primary care, emergency medicine, or pain management.
METHODS: We presented participants with one of three patient vignettes with corresponding standard and enhanced PDMP profiles and conducted brief interviews.
RESULTS: Findings indicated that enhanced profiles could increase ease of comprehension, reduce time burden, and aid in communicating with patients about opioid risks. Physicians also expressed concern about liability for prescribing when the enhanced profile indicates risk and cautioned against any implication that risk warnings should override clinical judgment based on the patient's complete medical history or presenting condition. Physicians emphasized the need for transparency of measures and evidence of validation of risk scores. We found little indication that enhanced profiles would change opioid prescribing decisions, though decisions varied by physician.
CONCLUSIONS: Our study underscores the importance of involving prescribers in developing and testing PDMP profile enhancements, as well as providing guidance in the interpretation and clinical use of enhanced profiles. Reduced time burden is an important benefit to consider as the number of states mandating PDMP use increases.
© 2019 American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Clinical Decision Support; Opioids; PDMP

Year:  2020        PMID: 30698811     DOI: 10.1093/pm/pny291

Source DB:  PubMed          Journal:  Pain Med        ISSN: 1526-2375            Impact factor:   3.750


  3 in total

1.  Advanced visualizations to interpret prescription drug monitoring program information.

Authors:  Scott G Weiner; Karen M Sherritt; Zoe Tseng; Jaya Tripathi
Journal:  Drug Alcohol Depend       Date:  2019-06-25       Impact factor: 4.492

2.  Phenotyping as disciplinary practice: data infrastructure and the interprofessional conflict over drug use in California.

Authors:  Mustafa I Hussain; Geoffrey C Bowker
Journal:  Big Data Soc       Date:  2021-08-16

3.  Advances in prescription drug monitoring program research: a literature synthesis (June 2018 to December 2019).

Authors:  Chris Delcher; Nathan Pauly; Patience Moyo
Journal:  Curr Opin Psychiatry       Date:  2020-07       Impact factor: 4.787

  3 in total

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