Literature DB >> 35927972

Implementation outcomes of the Structured and Codified SIG format in electronic prescription directions.

Corey A Lester1, Allen J Flynn2, Vincent D Marshall1, Scott Rochowiak3, James P Bagian4.   

Abstract

OBJECTIVE: To determine the extent of implementation, completeness, and accuracy of Structured and Codified SIG (S&C SIG) directions on electronic prescriptions (e-prescriptions).
MATERIALS AND METHODS: A retrospective analysis of a random sample of 3.8 million e-prescriptions sent from electronic prescribing (e-prescribing) software to outpatient pharmacies in the United States between 2019 and 2021. Natural language processing was used to identify direction components, including action verb, dose, frequency, route, duration, and indication from free-text directions and were compared to the S&C SIG format. Inductive qualitative analysis of S&C direction identified error types and frequencies for each component.
RESULTS: Implementation of the S&C SIG format in e-prescribing software resulted in 32.4% of e-prescriptions transmitted with these standardized directions. Directions using the S&C SIG format contained a greater percentage of each direction component compared to free-text directions, except for the indication component. Structured and codified directions contained quality issues in 10.3% of cases. DISCUSSION: Expanding adoption of more diverse direction terminology for the S&C SIG formats can improve the coverage of directions using the S&C SIG format. Building out e-prescribing software interfaces to include more direction components can improve patient medication use and safety. Quality improvement efforts, such as improving the design of e-prescribing software and auditing for discrepancies, are needed to identify and eliminate implementation-related issues with direction information from the S&C SIG format so that e-prescription directions are always accurately represented.
CONCLUSION: Although directions using the S&C SIG format may result in more complete directions, greater adoption of the format and best practices for preventing its incorrect use are necessary.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Structured and Codified SIG; computerized provider order entry; electronic prescriptions; medication directions; patient safety

Mesh:

Year:  2022        PMID: 35927972      PMCID: PMC9552209          DOI: 10.1093/jamia/ocac124

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   7.942


  24 in total

1.  Evaluation of the NCPDP Structured and Codified Sig Format for e-prescriptions.

Authors:  Hangsheng Liu; Q Burkhart; Douglas S Bell
Journal:  J Am Med Inform Assoc       Date:  2011-05-25       Impact factor: 4.497

2.  Evaluation of RxNorm in Ambulatory Electronic Prescribing.

Authors:  Douglas S Bell; Sean Michael O'Neill; Kerry Reynolds; Diane Schoeff
Journal:  Rand Health Q       Date:  2011-09-01

3.  The association of subjective workload dimensions on quality of care and pharmacist quality of work life.

Authors:  Michelle A Chui; Kevin A Look; David A Mott
Journal:  Res Social Adm Pharm       Date:  2013-06-20

4.  Misunderstanding of prescription drug warning labels among patients with low literacy.

Authors:  Michael S Wolf; Terry C Davis; Hugh H Tilson; Pat F Bass; Ruth M Parker
Journal:  Am J Health Syst Pharm       Date:  2006-06-01       Impact factor: 2.637

5.  To err is human: patient misinterpretations of prescription drug label instructions.

Authors:  Michael S Wolf; Terry C Davis; William Shrank; David N Rapp; Pat F Bass; Ulla M Connor; Marla Clayman; Ruth M Parker
Journal:  Patient Educ Couns       Date:  2007-06-22

6.  Prevalence of Universal Medication Schedule prescribing and links to adherence.

Authors:  Michael S Wolf; Michael S Taitel; Jenny Z Jiang; Laura M Curtis; Guisselle A Wismer; Amisha Wallia; Ruth M Parker
Journal:  Am J Health Syst Pharm       Date:  2020-01-24       Impact factor: 2.637

7.  How do community pharmacies recover from e-prescription errors?

Authors:  Olufunmilola K Odukoya; Jamie A Stone; Michelle A Chui
Journal:  Res Social Adm Pharm       Date:  2013-12-04

8.  Transmitting and processing electronic prescriptions: experiences of physician practices and pharmacies.

Authors:  Joy M Grossman; Dori A Cross; Ellyn R Boukus; Genna R Cohen
Journal:  J Am Med Inform Assoc       Date:  2011-11-18       Impact factor: 4.497

9.  Quality and Variability of Patient Directions in Electronic Prescriptions in the Ambulatory Care Setting.

Authors:  Yuze Yang; Stacy Ward-Charlerie; Ajit A Dhavle; Michael T Rupp; James Green
Journal:  J Manag Care Spec Pharm       Date:  2018-01-18

10.  Detecting Potential Medication Selection Errors during Outpatient Pharmacy Processing of Electronic Prescriptions with the RxNorm Application Programming Interface.

Authors:  Corey A Lester; Liyun Tu; Yuting Ding; Allen J Flynn
Journal:  JMIR Med Inform       Date:  2020-02-10
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