In collaboration with Raffles Medical Group, we will be recruiting 500 patients and following them for the next 3-12 months to see whether pharmacogenomics information provided in the Raffles' Electronic Health Records (EHR) will be used by physicians to personalize patients' prescriptions.
Pre-emptive genotyping provides relevant genomic data to physicians to facilitate prescribing and to facilitate checking of prescriptions by pharmacists to ensure drug safety and efficacy. This essential information should be incorporated into electronic healthcare systems and should be readily available. The effectiveness of pre-emptive genotyping to reduce adverse drug reactions (ADRs) is unknown in Singapore. Hence, this study is designed to evaluate whether it is feasible to implement large scale pre-emptive genotyping program at a hospital in Singapore and aim to integrate genomic medicine into clinical practice to improve drug safety and efficacy. This study involves the testing of feasibility of pharmacogenomic genotyping in hospitals whereby our pharmacogenomics panel tests for 5 genes (CYP2D6, CYP2C9, CYP2C19, SLCO1B1 and HLA-B\*58:01) which influences patient's response to more than 165 medications. Reports will be generated for all drugs that have been reported to be in CPIC Level A/B of association with the genes/haplotypes. The patients who are given these tests for free are recommended due to having experienced at least one of the diseases in our list or is at a risk of developing them.
Study Type
OBSERVATIONAL
Enrollment
222
To test if pharmacogenomics information (produced from testing) included by us in the Raffles' Electronic Health Records (EHR) will be used by physicians to personalize patients' prescriptions.
Raffles Hospital
Singapore, Singapore, Singapore
Turnaround time of genotype result, compared to expected
Time frame: 6 months
Overall satisfaction of patient
Via survey upon recruitment
Time frame: 0 months
Overall satisfaction of patient
Via survey at month 3 of the study
Time frame: 3 month
Overall satisfaction of patient
Via survey at month 12 of the study
Time frame: 12 months
Overall satisfaction of site principal investigators
Via survey done at month 6 of the study
Time frame: 6 months
Overall satisfaction of prescribing physicians
Via survey done at month 12 of the study
Time frame: 12 months
Prevalence of clinically actionable genotypes
The number of patients receiving recommendations that includes a certain follow up action which includes monitoring, change of dosing or change of prescription.
Time frame: 12 months
Recommendation acceptance rate
Defined by: (1) Number of physicians who are interested to consider pharmacogenomics information to guide prescription, measured by click-through rate of Pharmacogenomics Access Button; (2) Number of changes made to the medications post-PGx testing; (3) Data obtained from satisfaction survey for prescribing physicians
Time frame: 12 months
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