Literature DB >> 33387937

Barriers and facilitators to PDMP IS Success in the US: A systematic review.

Heather D Martin1, Shikha S Modi2, Sue S Feldman2.   

Abstract

INTRODUCTION: Prescription Drug Monitoring Programs (PDMP) help prevent prescription drug misuse and promote appropriate pain management. Despite these benefits and PDMP mandates in most states, PDMPs face challenges that hinder their success. This paper uses the Delone and McLean Information Success (IS) Model to review the current literature for barriers and facilitators to PDMP quality, use, intention to use and user satisfaction in the United States (U.S.).
MATERIAL AND METHODS: Scopus, PubMed and Embase databases were searched due to their relevance to information technology, education and research.
RESULTS: There were 142 and 183 barriers and facilitators, respectively, found in 44 peer reviewed articles. Barriers to PDMP quality, use and user satisfaction include lack of interstate data sharing, access difficulties, lack of time, inability to delegate access, lack of knowledge or awareness of the PMDP, and lack of EHR integration. Facilitators to PDMP quality, use and user satisfaction include interstate data connections, real-time data updates, EHR integration, and access delegation. DISCUSSION: Interstate data sharing, EHR integration and expanding access to delegates were common themes found. Some results were found to be contradictory such as mandating use.
CONCLUSION: PDMP users can use these findings to assess current barriers to PDMP success in the U.S. and draw possible solutions from the list of facilitators. Practitioners should consider the context of their state and organization when determining which facilitators would most promote PDMP IS success. Combining facilitators may be the best route to PDMP IS success in certain situations.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Opioids; PDMP; Pain management; Prescription drug monitoring program

Year:  2020        PMID: 33387937     DOI: 10.1016/j.drugalcdep.2020.108460

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  6 in total

1.  Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test.

Authors:  Gerald Cochran; Jennifer Brown; Ziji Yu; Stacey Frede; M Aryana Bryan; Andrew Ferguson; Nadia Bayyari; Brooke Taylor; Margie E Snyder; Elizabeth Charron; Omolola A Adeoye-Olatunde; Udi E Ghitza; T Winhusen
Journal:  Drug Alcohol Depend       Date:  2021-09-24       Impact factor: 4.492

2.  Factors Associated with Prescription Drug Monitoring Program Use Among US Physicians: National Electronic Health Record Survey 2018-2019.

Authors:  Juhan Lee; Kea Turner; Marwin Groener; Oliver T Nguyen; Amir Alishahi Tabriz; Young-Rock Hong
Journal:  J Gen Intern Med       Date:  2022-05-17       Impact factor: 6.473

3.  Multiple Opioid Prescribers During the Perioperative Period Increases Opioid Consumption Following Upper Extremity Surgery: A Multicenter Analysis.

Authors:  Joseph Paladino; Clay B Townsend; Justin Ly; Ryan Judy; Christine Conroy; Shivangi Bhatt; Hesham Abdelfattah; Mark Solarz; Katharine Woozley; Asif M Ilyas
Journal:  Cureus       Date:  2022-04-27

4.  The adoption of an e-learning system using information systems success model: a case study of Jazan University.

Authors:  Bassam Al-Shargabi; Omar Sabri; Shadi Aljawarneh
Journal:  PeerJ Comput Sci       Date:  2021-10-04

Review 5.  Optimization of Prescription Drug Monitoring Program to Overcome Opioid Epidemic in West Virginia.

Authors:  Ala-Eddin Yassin Al-Astal; Komal Sodhi; Hari Vishal Lakhani
Journal:  Cureus       Date:  2022-02-21

6.  Impact evaluation of a brief online training module on physician use of the Maryland, USA, Prescription Drug Monitoring Program.

Authors:  Oluwasanmi O Adenaiye; Julia B Zirpoli; Marissa Tan; Brendan F Day; Olayiwola Bolaji; Clifford S Mitchell; Marianne Cloeren
Journal:  PLoS One       Date:  2022-08-09       Impact factor: 3.752

  6 in total

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