-
Selectivity of physiotherapist programs in the United States does not differ by institutional funding source or research activity level
-
Sean P. Riley
 , Kyle Covington, Michel D. Landry, Christine McCallum, Chalee Engelhard, Chad E. Cook
-
J Educ Eval Health Prof. 2016;13:17. Published online April 15, 2016
-
DOI: https://doi.org/10.3352/jeehp.2016.13.17
-
-
26,562
View
-
150
Download
-
3
Web of Science
-
4
Crossref
-
 Abstract
 PDF
- Purpose
This study aimed to compare selectivity characteristics among institution characteristics to determine differences by institutional funding source (public vs. private) or research activity level (research vs. non-research). Methods: This study included information provided by the Commission on Accreditation in Physical Therapy Education (CAPTE) and the Federation of State Boards of Physical Therapy. Data were extracted from all students who graduated in 2011 from accredited physical therapy programs in the United States. The public and private designations of the institutions were extracted directly from the classifications from the ‘CAPTE annual accreditation report,’ and high and low research activity was determined based on Carnegie classifications. The institutions were classified into four groups: public/research intensive, public/non-research intensive, private/research intensive, and private/non-research intensive. Descriptive and comparison analyses with post hoc testing were performed to determine whether there were statistically significant differences among the four groups. Results: Although there were statistically significant baseline grade point average differences among the four categorized groups, there were no significant differences in licensure pass rates or for any of the selectivity variables of interest. Conclusion: Selectivity characteristics did not differ by institutional funding source (public vs. private) or research activity level (research vs. non-research). This suggests that the concerns about reduced selectivity among physiotherapy programs, specifically the types that are experiencing the largest proliferation, appear less warranted.
-
Citations
Citations to this article as recorded by  - Predictors of research productivity among physical therapy programs in the United States: an observational study
David M. Rowland, Amanda A. Murphy, Hannah R. Manik, Chris Y. Lane, Deborah L. Givens, Chad E. Cook, Alessandra Narciso Garcia
BMC Medical Education.2020;[Epub] CrossRef - Impact of funding allocation on physical therapist research productivity and DPT student graduates: an analysis using panel data
Tara Dickson, P. Daniel Chen, Barrett Taylor
Advances in Health Sciences Education.2019; 24(2): 269. CrossRef - Predicting performance in health professions education programs from admissions information – Comparisons of other health professions with pharmacy
Richard E. Wilcox, Kenneth A. Lawson
Currents in Pharmacy Teaching and Learning.2018; 10(4): 529. CrossRef - 20th Pauline Cerasoli Lecture: The Sunk Cost Fallacy
Chad Cook
Journal of Physical Therapy Education.2017; 31(3): 10. CrossRef
-
Modifiable variables in physical therapy education programs associated with first-time and three-year National Physical Therapy Examination pass rates in the United States
-
Chad Cook, Chalee Engelhard, Michel D. Landry, Christine McCallum
-
J Educ Eval Health Prof. 2015;12:44. Published online September 23, 2015
-
DOI: https://doi.org/10.3352/jeehp.2015.12.44
-
-
28,223
View
-
182
Download
-
9
Web of Science
-
19
Crossref
-
Abstract
PDF
- 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.
-
Citations
Citations to this article as recorded by - Challenges and Opportunities for Physical Therapist Education Research: Results From an American Council of Academic Physical Therapy Needs Assessment Survey
Tara Dickson, Jody Eckert, Patrick Pabian, Jamie Greco
Journal of Physical Therapy Education.2024; 38(1): 80. CrossRef - Predictive Value of In-Program Academic Variables for Future Clinical Education Performance in Physical Therapist Education: An Exploratory Study
Marisa Birkmeier, Joyce Maring, Rebecca Pinkus, Ellen Costello
Journal of Physical Therapy Education.2024; 38(1): 44. CrossRef - A Systematic Review of Variables Used in Physical Therapist Education Program Admissions Part 2: Noncognitive Variables
Andrea N. Bowens
Journal of Physical Therapy Education.2024;[Epub] CrossRef - Predictors of National Physical Therapy Examination Failure in Graduates of a Blended Doctor of Physical Therapy Program
Melissa J. Lazinski, Kathleen Rockefeller, M. Samuel Cheng
Journal of Physical Therapy Education.2023; 37(1): 52. CrossRef - Board of Certification Examination Achievement Gaps as a Barrier to Diversifying the Athletic Training Profession
Nicolette A. Harris, Lindsey E. Eberman
Journal of Athletic Training.2023; 58(1): 1. CrossRef - How Doctor of Physical Therapy Students Overcome Academic Challenges to Achieve First-Attempt Success on the National Physical Therapy Examination: A Mixed Methods Study
Jane Baldwin, Catherine Schmidt, Laura Plummer, Perman Gochyyev, Jillian E. Battista, Simran Kaur, Keshrie Naidoo
Education Sciences.2023; 13(5): 430. CrossRef - Predictors of Success in the National Physical Therapy Examination for Hispanic Doctor of Physical Therapy Students
Kristian J. Pamias-Velázquez, Brent Harper
Journal of Physical Therapy Education.2023; 37(3): 243. CrossRef - A Systematic Review of Variables Used in Physical Therapist Education Program Admissions Part 1: Cognitive Variables
Andrea N. Bowens
Journal of Physical Therapy Education.2023;[Epub] CrossRef - A National Study on the Relationship Between Programmatic Factors and Athletic Training Education Board of Certification Pass Rates
Leslie A. Rippon, Rong Chen, Robert J. Kelchen, Richard J. Boergers
Athletic Training Education Journal.2022; 17(1): 37. CrossRef - Predictors of Success on the National Physical Therapy Examination in 2 US Accelerated-Hybrid Doctor of Physical Therapy Programs
Breanna Reynolds, Casey Unverzagt, Alex Koszalinski, Roberta Gatlin, Jill Seale, Kendra Gagnon, Kareaion Eaton, Shane L. Koppenhaver
Journal of Physical Therapy Education.2022; 36(3): 225. CrossRef - Virtual Reality Instructional Design in Orthopedic Physical Therapy Education: A Randomized Controlled Trial
Aaron J. Hartstein, Kory Zimney, Margaret Verkuyl, Jean Yockey, Patti Berg-Poppe
Journal of Physical Therapy Education.2022; 36(2): 176. CrossRef - Evaluation of Educational Interventions Based on Average Treatment Effect: A Case Study
Jingyu Liang, Jie Liu
Mathematics.2022; 10(22): 4333. CrossRef - Faculty and programmatic influences on the percentage of graduates of color from professional physical therapy programs in the United States
Tara Dickson, Jason Zafereo
Advances in Health Sciences Education.2021; 26(1): 215. CrossRef - Predictors of research productivity among physical therapy programs in the United States: an observational study
David M. Rowland, Amanda A. Murphy, Hannah R. Manik, Chris Y. Lane, Deborah L. Givens, Chad E. Cook, Alessandra Narciso Garcia
BMC Medical Education.2020;[Epub] CrossRef - Characteristics of Professional Physical Therapist Faculty and Doctor of Physical Therapy Programs, 2008-2017: Influences on Graduation Rates and First-Time National Physical Therapy Examination Pass Rates
Tara Dickson, Barrett Taylor, Jason Zafereo
Physical Therapy.2020; 100(11): 1930. CrossRef - Predicting Success for Student Physical Therapists on the National Physical Therapy Examination: Systematic Review and Meta-Analysis
Mitch Wolden, Brent Hill, Sara Voorhees
Physical Therapy.2020; 100(1): 73. CrossRef - Current Practices and Perceptions of Admission Criteria at Physical Therapist Education Programs in the United States
Katy Mitchell, Jennifer Ellison, Peggy Gleeson
Journal of Physical Therapy Education.2019; 33(1): 55. CrossRef - Data-driven Decision Making in Doctor of Physical Therapy Curricula Part I: Program-level Analysis
Dawn Roller, Michael Wininger, John Leard, Barbara Crane
Journal of Physical Therapy Education.2018; 32(4): 368. CrossRef - 20th Pauline Cerasoli Lecture: The Sunk Cost Fallacy
Chad Cook
Journal of Physical Therapy Education.2017; 31(3): 10. CrossRef
|
KHPLEI
