What, When, and Who: Optimizing Recruitment to Pediatric Pulmonology.
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ABSTRACT:
SUBMITTER: Chiel L
PROVIDER: S-EPMC8015772 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Pediatric Pulmonology continues to publish research and clinical topics related to the entire range of children's respiratory disorders. As we have done annually in recent years, we here summarize some of the past year's publications in our major topic areas, as well as selected literature in these areas from other core journals relevant to our discipline. This review (Part 2) covers selected articles on neonatology, asthma, physiology and lung function testing, and infectious diseases.
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Project description:Background: There is concern that inadequate recruitment of new subspecialty trainees to replace the aging physician population will lead to significant workforce issues in pediatric pulmonology. The factors leading trainees to pursue a fellowship in pediatric pulmonology are unclear. Objective: To gain a better understanding of the decision-making process surrounding the choice to pursue a pediatric pulmonary fellowship and to provide informed recommendations to increase recruitment of new trainees. Methods: Informed by the Social Cognitive Career Theory, eight focus groups were held with pediatric residents and fellows attending the 2019 American Thoracic Society International Conference. Questions focused on personal background, learning experiences, self-efficacy and outcome expectations, interests, and goals. Transcripts were analyzed by conventional content analysis. Results: Fifty-six residents and fellows representing 42 different institutions participated. Responses resulted in seven major themes: 1) attractive aspects of pediatric pulmonology draw trainees to the field, 2) exposure to the breadth and scope of the field is limited, 3) mentorship is key, 4) decisions surrounding fellowship selection occur early in the second year, 5) trainees want flexibility in length and structure of fellowship, 6) financial considerations are not the driving factor in decision-making, and 7) there are inherent aspects of pulmonology that trainees may not enjoy. Conclusion: A lack of broad exposure to pediatric pulmonology during residency results in false perceptions of the field and is a deterrent to recruitment. Improving faculty engagement, guaranteeing broad and early exposure to the field, and creating learning experiences aimed at raising self-efficacy may improve recruitment and ultimately improve the pediatric pulmonary workforce.
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Project description:Given age-related differences in drug metabolism and indications for hematopoietic SCT (HSCT), personalized drug dosing of the conditioning regimen and post-transplant immunosuppression may reduce graft rejection, relapse rates and toxicity in pediatric HSCT recipients. This manuscript summarizes the pharmacokinetic/dynamic data of HSCT conditioning and post-grafting immunosuppression, presented at the First Annual Pediatric Bone Marrow Transplant Consortium (PBMTC) meeting in April 2013. Personalized dosing of BU to a target plasma exposure reduces graft rejection in children and improves relapse/toxicity rates in adults. Current weight-based dosing achieves the target BU exposure in only a minority (24.3%) of children. The initial BU dose should be based on the European Medicines Agency nomogram or population pharmacokinetic models to improve the numbers of children achieving the target exposure. There are limited pharmacokinetic data for treosulfan, CY, fludarabine and alemtuzumab as HSCT conditioning in children. For post-grafting immunosuppression, mycophenolic acid (MPA) clearance may be increased in younger children (<12 years). The preferred MPA pharmacokinetic monitoring parameters and target range are still evolving in HSCT recipients. Multi-institutional trials incorporating properly powered pharmacokinetic/dynamic studies are needed to assess the effect of variability in the plasma exposure of drugs/metabolites on clinical outcomes in pediatric HSCT recipients.
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Project description:Background and purposeA major challenge for stroke rehabilitation and recovery research is the recruitment and retention of participants. Our prior challenges and successes have influenced our team to rethink our approach and the potential for large-scale stroke recruitment.Summary of key pointsIn this special interest article, we highlight how the adoption and implementation of recruitment strategies such as physician engagement and a streamlined "customer service" approach helped us improve our enrollment and maximize efficiency. Another positive outcome of enrollment was increased representation of those who identify as underrepresented minority or live in rural areas.Recommendations for clinical practiceRethinking our recruitment processes and infrastructure allowed for greater interprofessional interactions, minimal burden for our stroke physician team members, and maximized enrollment into our stroke studies.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A324).
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Project description:Community-level approaches for pediatric asthma management rely on locally collected information derived primarily from two sources: claims records and school-based surveys. We combined claims and school-based surveillance data, and examined the asthma-related risk patterns among adolescent students. Symptom data collected from school-based asthma surveys conducted in Oakland, CA were used for case identification and determination of severity levels for students (high and low). Survey data were matched to Medicaid claims data for all asthma-related health care encounters for the year prior to the survey. We then employed recursive partitioning to develop classification trees that identified patterns of demographics and healthcare utilization associated with severity. A total of 561 students had complete matched data; 86.1% were classified as high-severity, and 13.9% as low-severity asthma. The classification tree consisted of eight subsets: three indicating high severity and five indicating low severity. The risk subsets highlighted varying combinations of non-specific demographic and socioeconomic predictors of asthma prevalence, morbidity and severity. For example, the subset with the highest class-prior probability (92.1%) predicted high-severity asthma and consisted of students without prescribed rescue medication, but with at least one in-clinic nebulizer treatment. The predictive accuracy of the tree-based model was approximately 66.7%, with an estimated 91.1% of high-severity cases and 42.3% of low-severity cases correctly predicted. Our analysis draws on the strengths of two complementary datasets to provide community-level information on children with asthma, and demonstrates the utility of recursive partitioning methods to explore a combination of features that convey asthma severity.
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