Asthma Management System in Primary Care Based on Global Initiative for Asthma and Snell's Drug Interaction: Accuracy and Usability.

Accuracy Asthma management system Drug interaction Global Initiative for Asthma Primary care Usability

Journal

Tanaffos
ISSN: 1735-0344
Titre abrégé: Tanaffos
Pays: Iran
ID NLM: 101308232

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 29 04 2021
accepted: 07 10 2021
entrez: 7 3 2023
pubmed: 8 3 2023
medline: 8 3 2023
Statut: ppublish

Résumé

The two main pillars of asthma management include regular follow-up and using guidelines in the treatment process. Patient portals enable regular follow-up of disease, and guideline-based decision-support-systems can improve the use of guidelines in the treatment process. Based on the Global Initiative for Asthma (GINA) and Snell's drug interaction, asthma management system in primary care (AMSPC) includes the capabilities of both mentioned systems. This system was developed to improve regular follow-up and use GINA in the asthma management process. This study aimed to assess the accuracy and usability of the AMSPC based on the GINA and Snell's drug interaction. To assess the accuracy of the system, kappa test was used to calculate the degree of agreement between the suggestions made by the system and the physician's decision for a total of 64 patients selected through convenience sampling method. To assess usability, the Questionnaire for User Interface Satisfaction (QUIS) was used. The scores of the Kappa for the agreements between the system and the physician in determining "drug type and dosage", "follow-up time", and "drug interactions" were 0.90, 0.94, and 0.94, respectively. The average score of the QUIS was 8.6 out of 9. Due to the high accuracy of the system in computerizing the GINA and Snell's drug interaction, as well as its proper usability, it is expected that the system be widely used to improve asthma management and reduce drug interactions.

Sections du résumé

Background UNASSIGNED
The two main pillars of asthma management include regular follow-up and using guidelines in the treatment process. Patient portals enable regular follow-up of disease, and guideline-based decision-support-systems can improve the use of guidelines in the treatment process. Based on the Global Initiative for Asthma (GINA) and Snell's drug interaction, asthma management system in primary care (AMSPC) includes the capabilities of both mentioned systems. This system was developed to improve regular follow-up and use GINA in the asthma management process. This study aimed to assess the accuracy and usability of the AMSPC based on the GINA and Snell's drug interaction.
Materials and Methods UNASSIGNED
To assess the accuracy of the system, kappa test was used to calculate the degree of agreement between the suggestions made by the system and the physician's decision for a total of 64 patients selected through convenience sampling method. To assess usability, the Questionnaire for User Interface Satisfaction (QUIS) was used.
Results UNASSIGNED
The scores of the Kappa for the agreements between the system and the physician in determining "drug type and dosage", "follow-up time", and "drug interactions" were 0.90, 0.94, and 0.94, respectively. The average score of the QUIS was 8.6 out of 9.
Conclusion UNASSIGNED
Due to the high accuracy of the system in computerizing the GINA and Snell's drug interaction, as well as its proper usability, it is expected that the system be widely used to improve asthma management and reduce drug interactions.

Identifiants

pubmed: 36879741
pii: Tanaffos-21-193
pmc: PMC9985120

Types de publication

Journal Article

Langues

eng

Pagination

193-200

Informations de copyright

Copyright© 2022 National Research Institute of Tuberculosis and Lung Disease.

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Auteurs

Saman Mohammadpour (S)

Department of Health Information Management and Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Farahnaz Sadoughi (F)

Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.

Saba Arshi (S)

Department of Immunology and Allergy, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.

Shirin Ayani (S)

Research Center, FANAP Co., Tehran, Iran.

Morteza Fallahpour (M)

Department of Immunology and Allergy, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.

Rafat Bagherzadeh (R)

Department of English Language, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.

Classifications MeSH