Refinement of a pharmacogenomics app for dosing guidelines for oncology: findings from the usability evaluation.

Pharmacogenomics dosing guidelines mobile app oncology usability

Journal

Annals of translational medicine
ISSN: 2305-5839
Titre abrégé: Ann Transl Med
Pays: China
ID NLM: 101617978

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 29 09 2022
accepted: 19 10 2022
entrez: 9 1 2023
pubmed: 10 1 2023
medline: 10 1 2023
Statut: ppublish

Résumé

This study extended a precision medicine clinical decision support mobile application (app) for use with oncology medications. Two gene variants ( The main research variable is usability as measured by effectiveness, efficiency, and satisfaction. A mixed method design was used. The setting was inpatient and outpatient oncology practices within North Carolina. The sample included registered nurses and nurse practitioners within the oncology field. A functioning mobile app was extended based on the Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines to address the most common gene variants seen in oncology patients. Usability testing is divided into two main categories, inspection and testing methods. Prior to the field study, a heuristic evaluation was conducted. This evaluation inspected the user interface, comparing the elements and aspects of it to a set of principles, heuristics, as a guideline to evaluate the usability of the mobile app. The testing evaluation was conducted with a sample of 51 health care providers to evaluate usability, measured by the System Usability Scale and open-ended questions. Descriptive statistics was used to summarize usefulness and end-user perceived ease of use. In addition, a thematic analysis of the open-ended questions was conducted. The development of this mobile app is relevant to nurses who have prescriptive privileges, as well as an educational tool for nurses to understand the rationale behind prescribing certain medications and alternate dosages by providing specific recommendations. Translation of precision medicine into practice will benefit patients by improving care, reducing adverse reactions, and lowering costs.

Sections du résumé

Background UNASSIGNED
This study extended a precision medicine clinical decision support mobile application (app) for use with oncology medications. Two gene variants (
Methods UNASSIGNED
The main research variable is usability as measured by effectiveness, efficiency, and satisfaction. A mixed method design was used. The setting was inpatient and outpatient oncology practices within North Carolina. The sample included registered nurses and nurse practitioners within the oncology field. A functioning mobile app was extended based on the Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines to address the most common gene variants seen in oncology patients. Usability testing is divided into two main categories, inspection and testing methods. Prior to the field study, a heuristic evaluation was conducted. This evaluation inspected the user interface, comparing the elements and aspects of it to a set of principles, heuristics, as a guideline to evaluate the usability of the mobile app.
Results UNASSIGNED
The testing evaluation was conducted with a sample of 51 health care providers to evaluate usability, measured by the System Usability Scale and open-ended questions. Descriptive statistics was used to summarize usefulness and end-user perceived ease of use. In addition, a thematic analysis of the open-ended questions was conducted.
Conclusions UNASSIGNED
The development of this mobile app is relevant to nurses who have prescriptive privileges, as well as an educational tool for nurses to understand the rationale behind prescribing certain medications and alternate dosages by providing specific recommendations. Translation of precision medicine into practice will benefit patients by improving care, reducing adverse reactions, and lowering costs.

Identifiants

pubmed: 36618784
doi: 10.21037/atm-2022-68
pii: atm-10-23-1261
pmc: PMC9816840
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1261

Informations de copyright

2022 Annals of Translational Medicine. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-2022-68/coif) and report receiving funding to complete the study by the Oncology Nurses Foundation which was paid to the institution. The authors have no other conflicts of interest to declare.

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Auteurs

Crystal Dodson (C)

School of Nursing, University of North Carolina Wilmington, Wilmington, NC, USA.

Lucas Layman (L)

Department of Computer Science, University of North Carolina Wilmington, Wilmington, NC, USA.

Classifications MeSH