%0 Journal Article
%@ 1477-2701
%A Rizaldy Taslim Pinzon
%D 2024
%F katalog:9450
%I International Pharmaceutical Federation
%J Pharmacy Education Journal
%K Adverse drug reaction, Model, Prediction, Risk
%N 4
%P 11-15
%T RISK PREDICTION MODELS ON ADVERSE DRUG REACTIONS: A REVIEW
%U https://katalog.ukdw.ac.id/9450/
%V 23
%X 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 ADR 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.