TY  - JOUR
PB  - International Pharmaceutical Federation
A1  - Rizaldy Taslim Pinzon
EP  - 15
N2  - 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.
AV  - public
VL  - 23
SP  - 11
KW  - Adverse drug reaction
KW  -  Model
KW  -  Prediction
KW  -  Risk
JF  - Pharmacy Education Journal
UR  - https://doi.org/10.46542/pe.2023.234.1115
ID  - katalog9450
SN  - 1477-2701
Y1  - 2024/10/10/
TI  - RISK PREDICTION MODELS ON ADVERSE DRUG REACTIONS: A REVIEW
IS  - 4
ER  -