Publication: Mobile App Design, Development, and Publication for Adverse Drug Reaction Assessments of Causality, Severity, and Preventability
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Jmir Publications, Inc
Abstract
Background: Adverse drug reactions (ADRs) cause significant morbidity and mortality. Improved assessment of ADRs to identify the causal relationship, the severity, and the preventability will aid ADRs prevention or reduce patient burden. Objective: The aim of this study was to develop mobile apps in assisting clinical decision in ADR assessments of causality, severity, and preventability using validated tools. The usability of the apps was assessed. Methods: We designed mobile apps using validated assessment tools for ADRs. They are the Liverpool ADRs Causality Assessment Tool, Hartwig's Severity Assessment Scale, and the Modified Schumock and Thronton Preventability Scale. The apps were named Adverse Drug ReactionCausality, Adverse Drug ReactionSeverity, and Adverse Drug RxnPreventability. A survey was conducted using the System Usability Scale (SUS) to assess the usability of the developed apps among health care professionals. Results: These apps are available for download through Google Play Store for free since January 2015. From the survey, the mean SUS score was 70.9 based on 26 responses from the pediatric ward of Hospital Ampang, Malaysia. Conclusions: The developed apps received an overall acceptable usability among health care professionals. The usage of these apps will improve detection, assessment, and avoidance of future ADRs. They will also contribute to future research on ADRs, thus increasing drug safety.
Description
Keywords
mobile applications, computer-assisted decision making, drug monitoring, pharmacovigilance, adverse drug reactions
Citation
Ithnin M, Mohd Rani MD, Abd Latif Z, Kani P, Syaiful A, Nor Aripin KN, Tengku Mohd TAM Mobile App Design, Development, and Publication for Adverse Drug Reaction Assessments of Causality, Severity, and Preventability JMIR Mhealth Uhealth 2017;5(5):e78 doi: 10.2196/mhealth.6261 PMID: 28559222 PMCID: 5470006