The diagnostic and predictive information produced by genomic sequencing may impact medical management, and it is critical that providers and institutions are able to use this information appropriately for patient care. Guided by the patient-centered care model, we investigated provider perspectives of patient, provider, and system-level factors that could influence the implementation of genomic medicine within the integrated healthcare system of the US Department of Defense (DOD).The purpose of this study was to explore patient-centered care elements related to the application of genomic sequencing in a military healthcare facility to understand the current capability and key gaps for patient-centered genomic medicine. Twenty DOD healthcare providers were interviewed regarding their past experiences and future expectations of genetics and genomics. These semi-structured interviews were recorded, transcribed and analyzed. All providers interviewed had some experience with genetics, but the level of experience varied greatly. Providers reported widely differing degrees of knowledge and confidence regarding genetics and about military-specific policies regarding genetics which varied by specialty. In addition, most providers stated that their department did not currently have the infrastructure to allow for the care of patients with secondary genetic findings, defined as genetic findings which are intentionally examined because of their importance to healthcare management, but are unrelated to the reason the individual underwent sequencing.This study reveals gaps in key elements of patient-centered care related to genomic medicine that may be helpful to address in future implementation efforts.
Background Genomic sequencing has become a widely used tool in clinical and research settings in both civilian and military healthcare systems. Methods In this paper, we consider potential military‐specific implications of returning genomic sequencing secondary findings to ensure the proper protections, policies, and processes are in place for the use of this information. Results We specifically use two examples to highlight potential military implications of the return of secondary findings. Conclusion Clinicians and researchers are strongly encouraged to consider the military implications of the return of results for informed consent of service members or their families undergoing clinical or research genomic sequencing.
Introduction Personalized medicine is the right treatment, to the right patient, at the right dose. Knowledge of genetic predisposition to variable metabolism and distribution of drugs within the body is currently available as pharmacogenomic testing and is one of the pillars of personalized medicine. Pharmacogenomic testing is growing. It has become part of guidelines for dosing on FDA labels and has been used by health care organizations to improve outcomes and reduce adverse events. Additionally, it has been FDA approved for direct-to-consumer purchase and has been cause of concern of patient self-dosing and medication changes. Presumably in the near future, pharmacogenomics will be impressed upon the military health system (MHS) provider from either a top-down, command requested, or from a bottom-up, patient requested, approach. To date, widespread implementation of pharmacogenomic testing does not seem to be established within the MHS. This survey sheds light on the knowledge, exposure, use, comfort, and interest among family medicine providers in the MHS. It compares similar results in other national and international surveys and compares results among a small subset of residents to staff. Materials and Methods The questions were part of a larger survey conducted by the Clinical Investigations Committee of the Uniformed Services Academy of Family Physicians (USAFP) at the USAFP 2019 annual meeting. The study received approval from the Uniformed Services University Institutional Review Board. Submitted questions were written using multiple choice, fill-in, five-point Likert scale, and best answer. Direct results are reported as well as chi-square statistics for categorical data with statistical significance to attain a P-value of < 0.05. Results Among the 532 USAFP-registered conference attendees eligible to complete the survey, 387 attendees responded to the survey, for a response rate of 72.7%. Some results included were a knowledge question in which 37% of respondents answered correctly. Less than half of respondents agreed that they could define pharmacogenomics, and resident respondents were more likely to have received teaching in graduate medical education. Additionally, 12% of providers responded to being exposed to direct-to-consumer results, and 28% of those exposed were influenced to change medications, while 14% were influenced to change medications on multiple occasions. Chi-square comparisons resulted in statistically significant direct relationships to exposure to direct to consumer testing, previous training, and confidence of those that answered the knowledge question correctly. Conclusions This survey establishes a baseline for the possible needs associated with implementation of a pharmacogenomic program, and it argues an actionable level for the use of pharmacogenomics among the patient population within the MHS.
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