Healthcare Professionals’ Knowledge, Attitudes and Future Expectations Towards Personalized Medicine

Admas, Tayachew; Banjaw, Aklilu

doi:10.2217/pme-2020-0185

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…Also, another previous study found that students with science majors outperformed non-science majors in genetic learning [ 21 ], which might also explain the attitude and feeling well informed about PM among students in the two majors. Another study conducted among healthcare professionals also confirmed that limited knowledge and negative attitudes were associated with a lack of awareness of PM [ 22 ], which also corresponded to our results. Our survey found that most students were “not too much” informed about PM.…”

Section: Discussionsupporting

confidence: 91%

Awareness, understanding, and interest in personalized medicine: A cross-sectional survey study of college students

2023

PLoS ONE

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Introduction Personalized Medicine (PM) holds great potential in healthcare. A few existing surveys have investigated awareness, understanding, and interest regarding PM in the general public; however, studies investigating college students’ opinions about PM are lacking. This study aimed to evaluate the college student’s awareness, understanding, and interest in PM, and their opinion was also analyzed by their gender and major. Methods The study samples were undergraduate students enrolled at the University of Nevada, Las Vegas (UNLV). A web-based survey with 42 questions was emailed to all UNLV undergraduate students. Overall survey results were analyzed by gender and each student’s major. A chi-square test evaluated the significant association between responses to questions with regard to gender or major. Results Among the participants, 1225 students completed the survey. This survey found that most college students had a neutral attitude to PM and were not entirely familiar with this field. For example, most students (57.6%) had a “neutral” attitude toward PM. In addition, 77.6% of students never received any personal genetic testing. More than 80% of students thought “interests” was the most important factor in using PM, and 50% of respondents chose “somewhat likely” to the recommendation about PM from the doctor. Also of importance was the finding that a significant association between the most important factor of using PM and gender was observed (p = 0.04), and the associations between a student’s major affected his or her reaction to PM, how well informed she or he was about PM, his or her attitude toward a doctor’s recommendation about using PM were all significant (all participant’s p<0.004). Conclusion UNLV undergraduate students had a neutral attitude to PM and were not entirely familiar with this field.

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Section: Discussionsupporting

confidence: 91%

Awareness, understanding, and interest in personalized medicine: A cross-sectional survey study of college students

2023

PLoS ONE

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“…In addition, there were few studies on the potential risk factors of refractory peritonitis, and there were no studies to establish a visual prediction model after identifying the risk factors, which makes clinicians lack an intuitive and practical tool for individualized prediction of the occurrence of refractory peritonitis. With the advancement of medical technology, personalized medicine, which means tailoring treatment plans for individual patients, is receiving increasing attention [ 8 ]. Therefore, this study aims to identify the potential risk factors of refractory peritonitis and construct a nomogram to personalize clinical decision-making, improve patient care, and enhance the quality of peritonitis treatment.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a nomogram for predicting refractory peritoneal dialysis related peritonitis

Yan,

Liu,

Wang

et al. 2024

Renal Failure

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Objective To identify the risk factors of refractory peritoneal dialysis related peritonitis (PDRP) and construct a nomogram to predict the occurrence of refractory PDRP. Methods Refractory peritonitis was defined as the peritonitis episode with persistently cloudy bags or persistent dialysis effluent leukocyte count >100 × 10 9 /L after 5 days of appropriate antibiotic therapy. The study dataset was randomly divided into a 70% training set and a 30% validation set. Univariate logistic analysis, LASSO regression analysis, and random forest algorithms were utilized to identify the potential risk factors for refractory peritonitis. Independent risk factors identified using multivariate logistic analysis were used to construct a nomogram. The discriminative ability, calibrating ability, and clinical practicality of the nomogram were evaluated using the receiver operating characteristic curve, Hosmer–Lemeshow test, calibration curve, and decision curve analysis. Results A total of 294 peritonitis episodes in 178 patients treated with peritoneal dialysis (PD) were enrolled, of which 93 were refractory peritonitis. C-reactive protein, serum albumin, diabetes mellitus, PD duration, and type of causative organisms were independent risk factors for refractory peritonitis. The nomogram model exhibited excellent discrimination with an area under the curve (AUC) of 0.781 (95% CI: 0.716–0.847) in the training set and 0.741 (95% CI: 0.627–0.855) in the validation set. The Hosmer–Lemeshow test and calibration curve indicated satisfactory calibration ability of the predictive model. Decision curve analysis revealed that the nomogram model had good clinical utility in predicting refractory peritonitis. Conclusion This nomogram can accurately predict refractory peritonitis in patients treated with PD.

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Usefulness of vancomycin treatment individualization via Bayesian algorithms: a 5-year study in critical patients

Figueroa,

Pincheira,

Navarrete

et al. 2024

Personalized Medicine

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Healthcare Professionals’ Knowledge, Attitudes and Future Expectations Towards Personalized Medicine

Cited by 7 publications

References 13 publications

Awareness, understanding, and interest in personalized medicine: A cross-sectional survey study of college students

Awareness, understanding, and interest in personalized medicine: A cross-sectional survey study of college students

Development and validation of a nomogram for predicting refractory peritoneal dialysis related peritonitis

Usefulness of vancomycin treatment individualization via Bayesian algorithms: a 5-year study in critical patients

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