Kurniawati, Fivy and Kristin, Erna and Febriana, Sri Awalia and Pinzon, Rizaldy T. (2023) Risk prediction models on adverse drug reactions: A review. Pharmacy Education, 23 (4). 11 – 15. ISSN 15602214
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Abstract
Background: The risk prediction model has become increasingly popular in recent years in helping clinical decision-making. Existing models cannot be directly applied in Indonesia. Objective: To review the existing prediction models and their limitations. Method: A search related to the prediction of ADRs risk was conducted using several journal databases: PubMed, Scopus and Google Scholar. Articles were screened to match specified criteria and further studied. Result: Nine articles met the criteria and were then analysed. Studies were carried out in various countries. The study population include; the elderly (>65 years, three studies), age (≥15 years, three studies), patients with Chronic Kidney Disease (CKD) (≥18 years, one study) and two studies in cancer patients. The outcomes were; ADR (five studies), ADE (two studies), DRPs (one study), and cardiovascular effects (one study). The methods for determining the predictors of ADRs all used multivariable logistic regression. Conclusion: Each country has different treatment patterns, prescribing practices, traditions and drug distribution, so it is necessary to develop a prediction model for ADRs that is country-specific. © 2023 FIP.
Item Type: | Article |
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Additional Information: | Cited by: 0; All Open Access, Gold Open Access |
Uncontrolled Keywords: | adverse event; aged; antibody dependent enhancement; cardiovascular effect; chronic kidney failure; clinical decision making; drug distribution; female; human; male; prediction; prescribing practice; Review; risk factor; search engine; systematic review |
Subjects: | R Medicine > RS Pharmacy and materia medica |
Divisions: | Faculty of Pharmacy |
Depositing User: | Sri JUNANDI |
Date Deposited: | 30 Oct 2024 21:14 |
Last Modified: | 30 Oct 2024 21:14 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/6037 |