1. Patient Perceptions of Care as Influenced by a Large Institutional Pharmacogenomic Implementation Program
- Author
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Tamar S. Polonsky, Keith Danahey, David T. Rubin, Brittany A. Borden, McKillip Rp, S Hussain, Walter M. Stadler, Paige Galecki, K Lipstreuer, David O. Meltzer, William Harper, Mark Siegler, Hall Jp, Andrew M. Davis, Yasmin Sacro, Matthew J. Sorrentino, Linda Patrick-Miller, Mark J. Ratain, Deborah L. Burnet, Sandra A. Ham, Jay L. Koyner, Rita Nanda, and Peter H. O'Donnell
- Subjects
Male ,medicine.medical_specialty ,media_common.quotation_subject ,Clinical Decision-Making ,Empathy ,030226 pharmacology & pharmacy ,Likert scale ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Medicine ,Pharmacology (medical) ,030212 general & internal medicine ,Practice Patterns, Physicians' ,Precision Medicine ,media_common ,Pharmacology ,Physician-Patient Relations ,business.industry ,Odds ratio ,Middle Aged ,Decision Support Systems, Clinical ,United States ,Confidence interval ,Pharmacogenomic Testing ,Patient perceptions ,Social Perception ,Pharmacogenetics ,Family medicine ,Pharmacogenomics ,Female ,Genomic information ,business ,Attitude to Health - Abstract
Despite growing clinical use of genomic information, patient perceptions of genomic-based care are poorly understood. We prospectively studied patient-physician pairs who participated in an institutional pharmacogenomic implementation program. Trust/privacy/empathy/medical decision-making (MDM)/personalized care dimensions were assessed through patient surveys after clinic visits at which physicians had access to preemptive pharmacogenomic results (Likert scale, 1 = minimum/5 = maximum; mean [SD]). From 2012-2015, 1,261 surveys were issued to 507 patients, with 792 (62.8%) returned. Privacy, empathy, MDM, and personalized care scores were significantly higher after visits when physicians considered pharmacogenomic results. Importantly, personalized care scores were significantly higher after physicians used pharmacogenomic information to guide medication changes (4.0 [1.4] vs. 3.0 [1.6]; P < 0.001) compared with prescribing visits without genomic guidance. Multivariable modeling controlling for clinical factors confirmed personalized care scores were more favorable after visits with genomic-influenced prescribing (odds ratio [OR] = 3.26; 95% confidence interval [CI] = (1.31-8.14); P < 0.05). Physicians seem to individualize care when utilizing pharmacogenomic results and this decision-making augmentation is perceived positively by patients.
- Published
- 2017
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