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Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial

BACKGROUND: Despite routine review of medication lists during patient encounters, patients’ medication lists are often incomplete and not reflective of actual medication use. Contributing to this situation is the challenge of reconciling medication information from existing health records, along wit...

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Autores principales: Gionfriddo, Michael R, Hu, Yirui, Maddineni, Bhumika, Kern, Melissa, Hayduk, Vanessa, Kaledas, William R, Elder, Nevan, Border, Jeffrey, Frusciante, Katie, Kobylinski, Maria, Wright, Eric A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941436/
https://www.ncbi.nlm.nih.gov/pubmed/35023836
http://dx.doi.org/10.2196/33488
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author Gionfriddo, Michael R
Hu, Yirui
Maddineni, Bhumika
Kern, Melissa
Hayduk, Vanessa
Kaledas, William R
Elder, Nevan
Border, Jeffrey
Frusciante, Katie
Kobylinski, Maria
Wright, Eric A
author_facet Gionfriddo, Michael R
Hu, Yirui
Maddineni, Bhumika
Kern, Melissa
Hayduk, Vanessa
Kaledas, William R
Elder, Nevan
Border, Jeffrey
Frusciante, Katie
Kobylinski, Maria
Wright, Eric A
author_sort Gionfriddo, Michael R
collection PubMed
description BACKGROUND: Despite routine review of medication lists during patient encounters, patients’ medication lists are often incomplete and not reflective of actual medication use. Contributing to this situation is the challenge of reconciling medication information from existing health records, along with external locations (eg, pharmacies, other provider/hospital records, and care facilities) and patient-reported use. Advances in the interoperability and digital collection of information provides a foundation for integration of these once disparate information sources. OBJECTIVE: We aim to evaluate the effectiveness of and satisfaction with an electronic health record (EHR)-integrated web-based medication reconciliation application, MedTrue (MT). METHODS: We conducted a cluster-randomized controlled trial of MT in 6 primary care clinics within an integrated health care delivery system. Our primary outcome was medication list accuracy, as determined by a pharmacist-collected best-possible medication history (BPMH). Patient and staff perspectives were evaluated through surveys and semistructured interviews. RESULTS: Overall, 224 patients were recruited and underwent a BPMH with the pharmacist (n=118 [52.7%] usual care [UC], n=106 [47.3%] MT). For our primary outcome of medication list accuracy, 8 (7.5%) patients in the MT arm and 9 (7.6%) in the UC arm had 0 discrepancies (odds ratio=1.01, 95% CI 0.38-2.72, P=.98). The most common discrepancy identified was patients reporting no longer taking a medication (UC mean 2.48 vs MT mean 2.58, P=.21). Patients found MT easy to use and on average would highly recommend MT (average net promoter score=8/10). Staff found MT beneficial but difficult to implement. CONCLUSIONS: The use of a web-based application integrated into the EHR which combines EHR, patient-reported data, and pharmacy-dispensed data did not improve medication list accuracy among a population of primary care patients compared to UC but was well received by patients. Future studies should address the limitations of the current application and assess whether improved implementation strategies would impact the effectiveness of the application.
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spelling pubmed-89414362022-03-24 Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial Gionfriddo, Michael R Hu, Yirui Maddineni, Bhumika Kern, Melissa Hayduk, Vanessa Kaledas, William R Elder, Nevan Border, Jeffrey Frusciante, Katie Kobylinski, Maria Wright, Eric A JMIR Form Res Original Paper BACKGROUND: Despite routine review of medication lists during patient encounters, patients’ medication lists are often incomplete and not reflective of actual medication use. Contributing to this situation is the challenge of reconciling medication information from existing health records, along with external locations (eg, pharmacies, other provider/hospital records, and care facilities) and patient-reported use. Advances in the interoperability and digital collection of information provides a foundation for integration of these once disparate information sources. OBJECTIVE: We aim to evaluate the effectiveness of and satisfaction with an electronic health record (EHR)-integrated web-based medication reconciliation application, MedTrue (MT). METHODS: We conducted a cluster-randomized controlled trial of MT in 6 primary care clinics within an integrated health care delivery system. Our primary outcome was medication list accuracy, as determined by a pharmacist-collected best-possible medication history (BPMH). Patient and staff perspectives were evaluated through surveys and semistructured interviews. RESULTS: Overall, 224 patients were recruited and underwent a BPMH with the pharmacist (n=118 [52.7%] usual care [UC], n=106 [47.3%] MT). For our primary outcome of medication list accuracy, 8 (7.5%) patients in the MT arm and 9 (7.6%) in the UC arm had 0 discrepancies (odds ratio=1.01, 95% CI 0.38-2.72, P=.98). The most common discrepancy identified was patients reporting no longer taking a medication (UC mean 2.48 vs MT mean 2.58, P=.21). Patients found MT easy to use and on average would highly recommend MT (average net promoter score=8/10). Staff found MT beneficial but difficult to implement. CONCLUSIONS: The use of a web-based application integrated into the EHR which combines EHR, patient-reported data, and pharmacy-dispensed data did not improve medication list accuracy among a population of primary care patients compared to UC but was well received by patients. Future studies should address the limitations of the current application and assess whether improved implementation strategies would impact the effectiveness of the application. JMIR Publications 2022-03-08 /pmc/articles/PMC8941436/ /pubmed/35023836 http://dx.doi.org/10.2196/33488 Text en ©Michael R Gionfriddo, Yirui Hu, Bhumika Maddineni, Melissa Kern, Vanessa Hayduk, William R Kaledas, Nevan Elder, Jeffrey Border, Katie Frusciante, Maria Kobylinski, Eric A Wright. Originally published in JMIR Formative Research (https://formative.jmir.org), 08.03.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Gionfriddo, Michael R
Hu, Yirui
Maddineni, Bhumika
Kern, Melissa
Hayduk, Vanessa
Kaledas, William R
Elder, Nevan
Border, Jeffrey
Frusciante, Katie
Kobylinski, Maria
Wright, Eric A
Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial
title Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial
title_full Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial
title_fullStr Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial
title_full_unstemmed Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial
title_short Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial
title_sort evaluation of a web-based medication reconciliation application within a primary care setting: cluster-randomized controlled trial
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941436/
https://www.ncbi.nlm.nih.gov/pubmed/35023836
http://dx.doi.org/10.2196/33488
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