Literature DB >> 35477148

Clinician Acceptance of Order Sets for Pain Management: A Survey in Two Urban Hospitals.

Yifan Liu1, Haijing Hao2, Mohit M Sharma1, Yonaka Harris1, Jean Scofi3, Richard Trepp4, Brenna Farmer3, Jessica S Ancker5, Yiye Zhang1,3.   

Abstract

BACKGROUND: Order sets are a clinical decision support (CDS) tool in computerized provider order entry systems. Order set use has been associated with improved quality of care. Particularly related to opioids and pain management, order sets have been shown to standardize and reduce the prescription of opioids. However, clinician-level barriers often limit the uptake of this CDS modality.
OBJECTIVE: To identify the barriers to order sets adoption, we surveyed clinicians on their training, knowledge, and perceptions related to order sets for pain management.
METHODS: We distributed a cross-sectional survey between October 2020 and April 2021 to clinicians eligible to place orders at two campuses of a major academic medical center. Survey questions were adapted from the widely used framework of Unified Theory of Acceptance and Use of Technology. We hypothesize that performance expectancy (PE) and facilitating conditions (FC) are associated with order set use. Survey responses were analyzed using logistic regression.
RESULTS: The intention to use order sets for pain management was associated with PE to existing order sets, social influence (SI) by leadership and peers, and FC for electronic health record (EHR) training and function integration. Intention to use did not significantly differ by gender or clinician role. Moderate differences were observed in the perception of the effort of, and FC for, order set use across gender and roles of clinicians, particularly emergency medicine and internal medicine departments.
CONCLUSION: This study attempts to identify barriers to the adoption of order sets for pain management and suggests future directions in designing and implementing CDS systems that can improve order sets adoption by clinicians. Study findings imply the importance of order set effectiveness, peer influence, and EHR integration in determining the acceptability of the order sets. Thieme. All rights reserved.

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Year:  2022        PMID: 35477148      PMCID: PMC9045963          DOI: 10.1055/s-0042-1745828

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.762


  47 in total

Review 1.  Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

Authors:  Rainu Kaushal; Kaveh G Shojania; David W Bates
Journal:  Arch Intern Med       Date:  2003-06-23

2.  A roadmap for national action on clinical decision support.

Authors:  Jerome A Osheroff; Jonathan M Teich; Blackford Middleton; Elaine B Steen; Adam Wright; Don E Detmer
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

Review 3.  The impact of health information technology on the quality of medical and health care: a systematic review.

Authors:  Aziz Jamal; Kirsten McKenzie; Michele Clark
Journal:  Health Inf Manag       Date:  2009       Impact factor: 3.185

4.  Associations between healthcare quality and use of electronic health record functions in ambulatory care.

Authors:  Jessica S Ancker; Lisa M Kern; Alison Edwards; Sarah Nosal; Daniel M Stein; Diane Hauser; Rainu Kaushal
Journal:  J Am Med Inform Assoc       Date:  2015-04-20       Impact factor: 4.497

5.  Reducing pediatric asthma hospital length of stay through evidence-based quality improvement and deployment of computerized provider order entry.

Authors:  George A Gellert; Crystal M Davenport; Charles G Minard; Claudia Castano; Kylynn Bruner; Deon Hobbs
Journal:  J Asthma       Date:  2019-01-25       Impact factor: 2.515

6.  Association between Electronic Medical Record Implementation of Default Opioid Prescription Quantities and Prescribing Behavior in Two Emergency Departments.

Authors:  M Kit Delgado; Frances S Shofer; Mitesh S Patel; Scott Halpern; Christopher Edwards; Zachary F Meisel; Jeanmarie Perrone
Journal:  J Gen Intern Med       Date:  2018-04       Impact factor: 5.128

7.  Utilization of evidence-based computerized order sets in pediatrics.

Authors:  Ann Scheck McAlearney; Deena Chisolm; Sofia Veneris; David Rich; Kelly Kelleher
Journal:  Int J Med Inform       Date:  2005-09-19       Impact factor: 4.046

8.  Examining Perceptions of Computerized Physician Order Entry in a Neonatal Intensive Care Unit.

Authors:  Kristyn S Beam; Megan Cardoso; Megan Sweeney; Geoff Binney; Saul N Weingart
Journal:  Appl Clin Inform       Date:  2017-04-05       Impact factor: 2.342

9.  Opioid Prescribing at Hospital Discharge Contributes to Chronic Opioid Use.

Authors:  Susan L Calcaterra; Traci E Yamashita; Sung-Joon Min; Angela Keniston; Joseph W Frank; Ingrid A Binswanger
Journal:  J Gen Intern Med       Date:  2016-05       Impact factor: 5.128

10.  Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey.

Authors:  Xia Li; Zhiguang Zhou; Yiyu Zhang; Chaoyuan Liu; Shuoming Luo; Yuting Xie; Fang Liu
Journal:  J Med Internet Res       Date:  2019-08-13       Impact factor: 5.428

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