5 research outputs found
Pathology Informatics Essentials for Residents: A Flexible Informatics Curriculum Linked to Accreditation Council for Graduate Medical Education Milestones (a secondary publication)*
Context: Recognition of the importance of informatics to the practice of pathology has surged. Training residents in pathology
informatics has been a daunting task for most residency programs in the United States because faculty often lacks experience and
training resources. Nevertheless, developing resident competence in informatics is essential for the future of pathology as a
specialty.
Objective: To develop and deliver a pathology informatics curriculum and instructional framework that guides pathology
residency programs in training residents in critical pathology informatics knowledge and skills, and meets Accreditation Council
for Graduate Medical Education Informatics Milestones.
Design: The College of American Pathologists, Association of Pathology Chairs, and Association for Pathology Informatics
formed a partnership and expert work group to identify critical pathology informatics training outcomes and to create a highly
adaptable curriculum and instructional approach, supported by a multiyear change management strategy.
Results: Pathology Informatics Essentials for Residents (PIER) is a rigorous approach for educating all pathology residents in
important pathology informatics knowledge and skills. PIER includes an instructional resource guide and toolkit for incorporating informatics training into residency programs that vary in needs, size, settings, and resources. PIER is available at http://
www.apcprods.org/PIER (accessed April 6, 2016).
Conclusions: PIER is an important contribution to informatics training in pathology residency programs. PIER introduces
pathology trainees to broadly useful informatics concepts and tools that are relevant to practice. PIER provides residency program
directors with a means to implement a standardized informatics training curriculum, to adapt the approach to local program
needs, and to evaluate resident performance and progress over time
Modeling community integration in workers with delayed recovery from mild traumatic brain injury
Background: Delayed recovery in persons after mild traumatic brain injury (mTBI) is poorly understood. Community integration (CI) is endorsed by persons with neurological disorders as an important outcome. We aimed to describe CI and its associated factors in insured Ontario workers with delayed recovery following mTBI.
Methods: A cross-sectional study of insured workers in the chronic phase following mTBI was performed at a rehabilitation hospital in Ontario, Canada. Sociodemographic, occupational, injury-related, clinical, and claim-related data were collected from self-reports, medical assessments, and insurers’ referral files. Community Integration Questionnaire (CIQ) scores were compared using analysis of variance or Spearman’s correlation tests. Stepwise multivariable linear regression models were used to evaluate the associations with CI.
Results: Ninety-four workers with mTBI (45.2 ± 9.9 years old, 61.2 % male) at 197 days post-injury (interquartile range, 139–416 days) were included. The CIQ total and subscale scores were similar to those reported in more severe TBI samples. The CIQ scores were moderately to strongly correlated with various sociodemographic, claim-related, and clinical variables. In the multivariable regression analysis, several covariates accounted for 36.4 % of the CIQ variance in the final fully adjusted model.
Discussion: This study evaluated CI in workers with mTBI, and analyzed its associated variables. Analysis revealed insomnia, head or neck pain, being married or in a relationship, time since injury, and a diagnosis of possible/probable malingering were independently associated with limited CI.
Conclusions: Workers with delayed recovery from mTBI experience difficulty with CI. Insomnia is a particularly relevant covariate, explaining the greater part of its variance. To enhance participation, care should focus on clinical and non-clinical covariates