MOBILE APPLICATIONS (APPS) FOR ASSESSMENT OF ADVERSE DRUGS REACTIONS (ADRS): CAUSALITY, SEVERITY AND PREVENTABILITY ASSESSMENT.

Autor: ITHNIN, MUSLIMAH, MADEEHAH T. MOHD, TENGKU AMATULLAH, LATIF, ZURAIDAH ABD, MOHD RANI, MOHD DZULKHAIRI, KANI, PAVEETHRA, SYAIFUL, ASMALITA, NOR ARIPIN, KHAIRUN NAIN
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Zdroj: Malaysian Journal of Phamaceutical Sciences; 2015, Vol. 13 Issue 1, p80-80, 1/2p
Abstrakt: Adverse drug reactions (ADRs) remain a major challenge in drug safety as they cause significant morbidity and mortality. Current research showed that proper ADR assessment is important in the effort to reduce the burden of ADRs. This study aimed to develop a mobile and easily accessible Application (Apps) to assist in assessing causality, severity and preventability of ADRs. The crucial elements in ADRs studies are to identify the causal relationship, the intensity and the preventability of an ADRs. We designed mobile Apps using evidence-based and standardised tools or algorithm; namely the Liverpool ADRs Causality Assessment Tool, Hartwig's Severity Assessment Scale and Modified Schumock and Thronton Preventability Scale. The Apps designed using MIT App Inventor were then uploaded from APK file into a Google Developer Console and published into Google Play. The Apps developed for ADRs assessments were named Adverse Drug Reaction Causality, Adverse Drug Reaction Severity and Adverse Drug Rxn Preventability. All are now available for free by downloading through Google Play since April 2015. To date they have been rated from 4.5-5.0 stars with 217 total downloads from various countries. The Apps are currently being used in a prospective study of ADRs among paediatric patients at Hospital Ampang, Malaysia. These Apps for ADRs assessment will improve detection, assessment and potentially, avoidance of ADRs. Further work are ongoing in validating and improving the Apps, with the aim to reduce the burden of ADRs thus ensuring drugs are used in the safest and most effective manner. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index