Evaluation of an electronic prescription platform: Clinicians' feedback on three distinct services aiming to facilitate clinical decision and safer e-prescription.

Adverse drug reactions Clinical decision support services Electronic prescription Health care professionals System evaluation Usability

Journal

Research in social & administrative pharmacy : RSAP
ISSN: 1934-8150
Titre abrégé: Res Social Adm Pharm
Pays: United States
ID NLM: 101231974

Informations de publication

Date de publication:
17 Apr 2024
Historique:
received: 19 01 2024
revised: 02 04 2024
accepted: 03 04 2024
medline: 24 4 2024
pubmed: 24 4 2024
entrez: 23 4 2024
Statut: aheadofprint

Résumé

Health Care Professionals (HCPs) are the main end-users of digital clinical tools such as electronic prescription systems. For this reason, it is of high importance to include HCPs throughout the design, development and evaluation of a newly introduced system to ensure its usefulness, as well as confirm that it tends to their needs and can be integrated in their everyday clinical practice. In the context of the PrescIT project, an electronic prescription platform with three services was developed (i.e., Prescription Check, Prescription Suggestion, Therapeutic Prescription Monitoring). To allow an iterative process of discovery through user feedback, design and implementation, a two-phase evaluation was carried out, with the participation of HCPs from three hospitals in Northern Greece. The two-phase evaluation included presentations of the platform, followed by think-aloud sessions, individual platform testing and the collection of qualitative as well as quantitative feedback, through standard questionnaires (e.g., SUS, PSSUQ). Twenty one HCPs (8 in the first, 18 in the second phase, and five present in both) participated in the two-phase evaluation. HCPs comprised clinicians varying in their specialty and one pharmacist. Clinicians' feedback during the first evaluation phase already deemed usability as "excellent" (with SUS scores ranging from 75 to 95/100, showing a mean value of 86.6 and SD of 9.2) but also provided additional user requirements, which further shaped and improved the services. In the second evaluation phase, clinicians explored the system's usability, and identified the services' strengths and weaknesses. Clinicians perceived the platform as useful, as it provides information on potential adverse drug reactions, drug-to-drug interactions and suggests medications that are compatible with patients' comorbidities and current medication. The developed PrescIT platform aims to increase overall safety and effectiveness of healthcare services. Therefore, including clinicians in a two-phase evaluation confirmed that the introduced system is useful, tends to the users' needs, does not create fatigue and can be integrated in their everyday clinical practice to support clinical decision and e-prescribing.

Sections du résumé

BACKGROUND BACKGROUND
Health Care Professionals (HCPs) are the main end-users of digital clinical tools such as electronic prescription systems. For this reason, it is of high importance to include HCPs throughout the design, development and evaluation of a newly introduced system to ensure its usefulness, as well as confirm that it tends to their needs and can be integrated in their everyday clinical practice.
METHODS METHODS
In the context of the PrescIT project, an electronic prescription platform with three services was developed (i.e., Prescription Check, Prescription Suggestion, Therapeutic Prescription Monitoring). To allow an iterative process of discovery through user feedback, design and implementation, a two-phase evaluation was carried out, with the participation of HCPs from three hospitals in Northern Greece. The two-phase evaluation included presentations of the platform, followed by think-aloud sessions, individual platform testing and the collection of qualitative as well as quantitative feedback, through standard questionnaires (e.g., SUS, PSSUQ).
RESULTS RESULTS
Twenty one HCPs (8 in the first, 18 in the second phase, and five present in both) participated in the two-phase evaluation. HCPs comprised clinicians varying in their specialty and one pharmacist. Clinicians' feedback during the first evaluation phase already deemed usability as "excellent" (with SUS scores ranging from 75 to 95/100, showing a mean value of 86.6 and SD of 9.2) but also provided additional user requirements, which further shaped and improved the services. In the second evaluation phase, clinicians explored the system's usability, and identified the services' strengths and weaknesses. Clinicians perceived the platform as useful, as it provides information on potential adverse drug reactions, drug-to-drug interactions and suggests medications that are compatible with patients' comorbidities and current medication.
CONCLUSIONS CONCLUSIONS
The developed PrescIT platform aims to increase overall safety and effectiveness of healthcare services. Therefore, including clinicians in a two-phase evaluation confirmed that the introduced system is useful, tends to the users' needs, does not create fatigue and can be integrated in their everyday clinical practice to support clinical decision and e-prescribing.

Identifiants

pubmed: 38653646
pii: S1551-7411(24)00118-9
doi: 10.1016/j.sapharm.2024.04.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest All authors declare no financial or non-financial competing interests.

Auteurs

Margarita Grammatikopoulou (M)

Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece. Electronic address: marggram@iti.gr.

Martha Zachariadou (M)

Ergobyte SA, Thessaloniki, Greece. Electronic address: mzachariadou@ergobyte.gr.

Maria Zande (M)

Ergobyte SA, Thessaloniki, Greece. Electronic address: mzande@ergobyte.gr.

Georgios Giannios (G)

Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece. Electronic address: ggiannios@iti.gr.

Achilleas Chytas (A)

Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece. Electronic address: achytas@certh.gr.

Haralampos Karanikas (H)

Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece. Electronic address: karanikas@uth.gr.

Spiros Georgakopoulos (S)

Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece. Electronic address: spirosgeorg@uth.gr.

Dimitrios Karanikas (D)

Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.

George Nikolaidis (G)

Ergobyte SA, Thessaloniki, Greece. Electronic address: gnikolaidis@ergobyte.gr.

Pantelis Natsiavas (P)

Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece. Electronic address: pnatsiavas@certh.gr.

Thanos G Stavropoulos (TG)

Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece. Electronic address: athstavr@iti.gr.

Spiros Nikolopoulos (S)

Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece. Electronic address: nikolopo@iti.gr.

Ioannis Kompatsiaris (I)

Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece. Electronic address: ikom@iti.gr.

Classifications MeSH