Objective: Prior reports demonstrate that personalized medicine implementation in clinical care is lacking. Given the program focus at Duke University on personalized medicine, we assessed health care providers' perspectives on their preparation and educational needs to effectively integrate personalized medicine tools and applications into their clinical practices.
Methods: Data from 78 health care providers who participated in a larger study of personalized and precision medicine at Duke University were analyzed using Qualtrics (descriptive statistics). Individuals age 18 years and older were recruited for the larger study through broad email contacts across the university and health system. All participants completed an online 35-question survey that was developed, pilot-tested, and administered by a team of interdisciplinary researchers and clinicians at the Center for Applied Genomics and Precision Medicine.
Results: Overall, providers reported being ill-equipped to implement personalized medicine in clinical practice. Many respondents identified educational resources as critical for strengthening personalized medicine implementation in both research and clinical practice. Responses did not differ significantly between specialists and primary providers or by years since completion of the medical degree.
Conclusions: Survey findings support prior calls for provider and patient education in personalized medicine. Respondents identified focus areas in training, education, and research for improving personalized medicine uptake. Given respondents' emphasis on educational needs, now may be an ideal time to address these needs in clinical training and public education programs.
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http://dx.doi.org/10.5455/jcme.20150408050414 | DOI Listing |
J Med Internet Res
January 2025
School of Journalism and Communication, Beijing Normal University, Beijing, China.
Background: Digital health interventions have emerged as promising tools to promote health behavior change and improve health outcomes. However, a comprehensive synthesis of strategies contributing to these interventions is lacking.
Objective: This study aims to (1) identify and categorize the strategies used in digital health interventions over the past 25 years; (2) explore the differences and changes in these strategies across time periods, countries, populations, delivery methods, and senders; and (3) serve as a valuable reference for future researchers and practitioners to improve the effectiveness of digital health interventions.
Nucleosides Nucleotides Nucleic Acids
January 2025
Faculty of Agriculture and Allied Sciences, C.V. Raman Global University, Bhubaneswar, India.
The field of biomedical science has witnessed another milestone with the advent of RNA-based therapeutics. This review explores three major RNA molecules, namely: messenger RNA (mRNA), RNA interference technology (RNAi), and Antisense Oligonucleotide (ASO), and analyses U.S.
View Article and Find Full Text PDFBrain Imaging Behav
January 2025
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Physical exercise is a promising intervention to improve brain white matter integrity. In the PAM study, exercise intervention effects on white matter integrity were investigated in breast cancer patients. Chemotherapy-treated breast cancer patients with cognitive problems were randomized 2-4 years post-diagnosis to an exercise (n = 91) or control group (n = 90).
View Article and Find Full Text PDFInt J Cardiovasc Imaging
January 2025
Artificial Intelligence Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radiation exposure and the need for specialized personnel. This study aims to develop an artificial intelligence (AI) method to automatically detect CAC from non-gated, freely-breathing, low-dose CT images obtained from positron emission tomography/computed tomography scans.
View Article and Find Full Text PDFPsychooncology
January 2025
Cancer Prevention Precision Control Institute, Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, New Jersey, USA.
Background: Although scanxiety is common and impactful for people with advanced lung cancer, few interventions address this psychosocial concern.
Aims: To create a stress management program for scanxiety.
Methods: We conducted a structured intervention adaptation process guided by the ADAPT-ITT framework.
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