Teaching Human Anatomy in Physical Therapy Education in the United States: A Survey

1994 ◽  
Vol 74 (8) ◽  
pp. 720-727 ◽  
Author(s):  
Gary E Mattingly ◽  
Carolyn E Barnes
Author(s):  
Chad Cook ◽  
Chalee Engelhard ◽  
Michel D. Landry ◽  
Christine McCallum

Purpose: This study aimed to examine the modifiable programmatic characteristics reflected in the Commission on Accreditation in Physical Therapy Education (CAPTE) Annual Accreditation Report for all accredited programs that reported pass rates on the National Physical Therapist Examination, and to build a predictive model for first-time and three-year ultimate pass rates. Methods: This observational study analyzed programmatic information from the 185 CAPTE-accredited physical therapy programs in the United States and Puerto Rico out of a total of 193 programs that provided the first-time and three-year ultimate pass rates in 2011. Fourteen predictive variables representing student selection and composition, clinical education length and design, and general program length and design were analyzed against first-time pass rates and ultimate pass rates on the NPTE. Univariate and multivariate multinomial regression analysis for first-time pass rates and logistic regression analysis for three-year ultimate pass rates were performed. Results: The variables associated with the first-time pass rate in the multivariate analysis were the mean undergraduate grade point average (GPA) and the average age of the cohort. Multivariate analysis showed that mean undergraduate GPA was associated with the three-year ultimate pass rate. Conclusions: Mean undergraduate GPA was found to be the only modifiable predictor for both first-time and three-year pass rates among CAPTE-accredited physical therapy programs.


2021 ◽  
Author(s):  
Reed Handlery ◽  
Emma Shover ◽  
Thavi Chhoun ◽  
Lauren Durant ◽  
Kaci Handlery ◽  
...  

Abstract Objective Strength training is frequently utilized by physical therapists; however, there has been discussion about whether physical therapists utilize strength training adequately. The purpose of this study was to describe and compare the strength training attitudes, behaviors, and knowledge of physical therapists and physical therapy students and to determine how participant characteristics influenced knowledge scores. Methods An anonymous survey was created in 3 rounds. For round 1, researchers used textbooks to create items assessing demographics, attitudes, behaviors, and knowledge regarding strength training. Rounds 2 and 3 consisted of feedback from 7 content experts until 80% consensus was reached; items were added, removed, or edited based on feedback. The final survey was distributed through social media, list servs, and email, targeting physical therapists and students based in the United States. Response frequencies for all items were reported. Overall knowledge scores were calculated by summing correct responses for each item, with a maximum score of 13; scores <70% were considered low. Binomial logistic regression determined which characteristics (demographics, attitudes, or behaviors) influenced whether participants adequately utilized strength training principles (scored ≥70% on knowledge items). Results There were 777 physical therapist and 648 student participants. Nearly 90% of therapists and students reported frequently prescribing strength training. Over 48% of therapists felt their professional education did not prepare them to apply strength training (compared with 24% of students), and 68% believed that strength training is inadequately applied in physical therapy (compared with 40% of students). Sixty-two percent of therapists and 55% of students scored ≥70% for knowledge items. Additional strength training education and regular participation in strength training increased the odds of scoring ≥70% on knowledge items. Conclusions Physical therapists and physical therapy students frequently prescribe strength training, despite similarly low knowledge scores. To increase knowledge, greater emphasis on strength training in professional education, continuing education, participation in strength training, or all 3 is warranted. Impact Strength training is an important intervention used in physical therapy and must be used appropriately to improve the health of patients. According to these findings, strength training education may not currently be optimal, as demonstrated by low knowledge scores by both therapists and students. Further work is needed to determine how knowledge of strength training relates to patient outcomes and also how best to implement strength training in physical therapy education and practice.


Author(s):  
Gretchen Roman ◽  
Matthew Paul Buman

Purpose: The field of physical therapy education is seeking an evidence-based approach for admitting qualified applicants, as previous research has assessed various outcomes, impeding practical application. This study was conducted to identify preadmission criteria predictive of graduation success. Methods: Data from the 2013–2016 graduating cohorts (n=149) were collected. Predictors included verbal Graduate Record Examination rank percentile (VGRE%), quantitative GRE rank percentile, and analytical GRE rank percentile, the admissions interview, precumulative science grade point average (SGPA), precumulative grade point average (UGPA), and a reflective essay. The National Physical Therapy Examination (NPTE) and grade point average at the time of graduation (GGPA) were used as measures of graduation success. Two separate mixed-effects models determined the associations of preadmission predictors with NPTE performance and GGPA. Results: The NPTE model fit comparison showed significant results (degrees of freedom [df]=10, P=0.001), decreasing within-cohort variance by 59.5%. NPTE performance were associated with GGPA (β=125.21, P=0.001), and VGRE%, the interview, the essay, and GGPA (P≤0.001) impacted the model fit. The GGPA model fit comparison did not show significant results (df=8, P=0.56), decreasing within-cohort variance by 16.4%. The GGPA was associated with the interview (β=0.02, P=0.04) and UGPA (β=0.25, P=0.04), and VGRE%, the interview, UGPA, and the essay (P≤0.02) impacted model fit. Conclusion: In our findings, GGPA predicted NPTE performance, and the interview and UGPA predicted GGPA. Unlike past evidence, SGPA showed no predictive power. The essay and VGRE% warrant attention because of their influence on model fit. We recommend that admissions ranking matrices place a greater weight on the interview, UGPA, VGRE%, and essay.


1997 ◽  
Vol 2 (3) ◽  
pp. 173-178 ◽  
Author(s):  
Lynn Snyder-Mackler ◽  
Stuart Binder-Macleod ◽  
Paul F. Mettler

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