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

BACKGROUND: The prescriber’s directions to the patient (Sig) are one of the most quality-sensitive components of a prescription order. Owing to their free-text format, the Sig data that are transmitted in electronic prescriptions (e-prescriptions) have the potential to produce interpretation challen...

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Autores principales: Yang, Yuze, Ward-Charlerie, Stacy, Dhavle, Ajit A., Rupp, Michael T., Green, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Managed Care Pharmacy 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398147/
https://www.ncbi.nlm.nih.gov/pubmed/29345553
http://dx.doi.org/10.18553/jmcp.2018.17404
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author Yang, Yuze
Ward-Charlerie, Stacy
Dhavle, Ajit A.
Rupp, Michael T.
Green, James
author_facet Yang, Yuze
Ward-Charlerie, Stacy
Dhavle, Ajit A.
Rupp, Michael T.
Green, James
author_sort Yang, Yuze
collection PubMed
description BACKGROUND: The prescriber’s directions to the patient (Sig) are one of the most quality-sensitive components of a prescription order. Owing to their free-text format, the Sig data that are transmitted in electronic prescriptions (e-prescriptions) have the potential to produce interpretation challenges at receiving pharmacies that may threaten patient safety and also negatively affect medication labeling and patient counseling. Ensuring that all data transmitted in the e-prescription are complete and unambiguous is essential for minimizing disruptions in workflow at prescribers’ offices and receiving pharmacies and optimizing the safety and effectiveness of patient care. OBJECTIVES: To (a) assess the quality and variability of free-text Sig strings in ambulatory e-prescriptions and (b) propose best-practice recommendations to improve the use of this quality-sensitive field. METHODS: A retrospective qualitative analysis was performed on a nationally representative sample of 25,000 e-prescriptions issued by 22,152 community-based prescribers across the United States using 501 electronic health records (EHRs) or e-prescribing software applications. The content of Sig text strings in e-prescriptions was classified according to a Sig classification scheme developed with guidance from an expert advisory panel. The Sig text strings were also analyzed for quality-related events (QREs). For purposes of this analysis, QREs were defined as Sig text content that could impair accurate and unambiguous interpretation by staff at receiving pharmacies. RESULTS: A total of 3,797 unique Sig concepts were identified in the 25,000 Sig text strings analyzed; more than 50% of all Sigs could be categorized into 25 unique Sig concepts. Even Sig strings that expressed apparently simple and straightforward concepts displayed substantial variability; for example, the sample contained 832 permutations of words and phrases used to convey the Sig concept of “Take 1 tablet by mouth once daily.” Approximately 10% of Sigs contained QREs that could pose patient safety risks or workflow disruptions that could necessitate pharmacist callbacks to prescribers for clarification or other manual interventions. CONCLUSIONS: The quality of free-text patient directions in e-prescriptions can vary dramatically. However, more than half of all patient directions sent in the ambulatory setting can be categorized into only 25 Sig concepts. This suggests an immediate, practical opportunity to improve patient safety and workflow efficiency for both prescribers and pharmacies. Recommendations include implementing enhancements to Sig creation tools in e-prescribing and EHR software applications, adoption of the Structured and Codified Sig format supported by the current national e-prescribing standard, and improved usability testing and end-user training for generating complete and unambiguous patient directions. Such quality improvements are essential for optimizing the safety and effectiveness of patient care as well as for minimizing workflow disruptions to both prescribers and pharmacies.
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spelling pubmed-103981472023-08-04 Quality and Variability of Patient Directions in Electronic Prescriptions in the Ambulatory Care Setting Yang, Yuze Ward-Charlerie, Stacy Dhavle, Ajit A. Rupp, Michael T. Green, James J Manag Care Spec Pharm Research BACKGROUND: The prescriber’s directions to the patient (Sig) are one of the most quality-sensitive components of a prescription order. Owing to their free-text format, the Sig data that are transmitted in electronic prescriptions (e-prescriptions) have the potential to produce interpretation challenges at receiving pharmacies that may threaten patient safety and also negatively affect medication labeling and patient counseling. Ensuring that all data transmitted in the e-prescription are complete and unambiguous is essential for minimizing disruptions in workflow at prescribers’ offices and receiving pharmacies and optimizing the safety and effectiveness of patient care. OBJECTIVES: To (a) assess the quality and variability of free-text Sig strings in ambulatory e-prescriptions and (b) propose best-practice recommendations to improve the use of this quality-sensitive field. METHODS: A retrospective qualitative analysis was performed on a nationally representative sample of 25,000 e-prescriptions issued by 22,152 community-based prescribers across the United States using 501 electronic health records (EHRs) or e-prescribing software applications. The content of Sig text strings in e-prescriptions was classified according to a Sig classification scheme developed with guidance from an expert advisory panel. The Sig text strings were also analyzed for quality-related events (QREs). For purposes of this analysis, QREs were defined as Sig text content that could impair accurate and unambiguous interpretation by staff at receiving pharmacies. RESULTS: A total of 3,797 unique Sig concepts were identified in the 25,000 Sig text strings analyzed; more than 50% of all Sigs could be categorized into 25 unique Sig concepts. Even Sig strings that expressed apparently simple and straightforward concepts displayed substantial variability; for example, the sample contained 832 permutations of words and phrases used to convey the Sig concept of “Take 1 tablet by mouth once daily.” Approximately 10% of Sigs contained QREs that could pose patient safety risks or workflow disruptions that could necessitate pharmacist callbacks to prescribers for clarification or other manual interventions. CONCLUSIONS: The quality of free-text patient directions in e-prescriptions can vary dramatically. However, more than half of all patient directions sent in the ambulatory setting can be categorized into only 25 Sig concepts. This suggests an immediate, practical opportunity to improve patient safety and workflow efficiency for both prescribers and pharmacies. Recommendations include implementing enhancements to Sig creation tools in e-prescribing and EHR software applications, adoption of the Structured and Codified Sig format supported by the current national e-prescribing standard, and improved usability testing and end-user training for generating complete and unambiguous patient directions. Such quality improvements are essential for optimizing the safety and effectiveness of patient care as well as for minimizing workflow disruptions to both prescribers and pharmacies. Academy of Managed Care Pharmacy 2018-07 /pmc/articles/PMC10398147/ /pubmed/29345553 http://dx.doi.org/10.18553/jmcp.2018.17404 Text en Copyright © 2018, Academy of Managed Care Pharmacy. All rights reserved. https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research
Yang, Yuze
Ward-Charlerie, Stacy
Dhavle, Ajit A.
Rupp, Michael T.
Green, James
Quality and Variability of Patient Directions in Electronic Prescriptions in the Ambulatory Care Setting
title Quality and Variability of Patient Directions in Electronic Prescriptions in the Ambulatory Care Setting
title_full Quality and Variability of Patient Directions in Electronic Prescriptions in the Ambulatory Care Setting
title_fullStr Quality and Variability of Patient Directions in Electronic Prescriptions in the Ambulatory Care Setting
title_full_unstemmed Quality and Variability of Patient Directions in Electronic Prescriptions in the Ambulatory Care Setting
title_short Quality and Variability of Patient Directions in Electronic Prescriptions in the Ambulatory Care Setting
title_sort quality and variability of patient directions in electronic prescriptions in the ambulatory care setting
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398147/
https://www.ncbi.nlm.nih.gov/pubmed/29345553
http://dx.doi.org/10.18553/jmcp.2018.17404
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