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Predictors of research productivity among physical therapy programs in the United States: an observational study
BACKGROUND: This study targeted the association of program characteristics of 203 Doctor of Physical Therapy (DPT) programs in the United States (US) reported by the Commission on Accreditation in Physical Therapy Education (CAPTE) in their 2017 Annual Accreditation Report (AAR) with measures of cor...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353740/ https://www.ncbi.nlm.nih.gov/pubmed/32652999 http://dx.doi.org/10.1186/s12909-020-02133-1 |
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author | Rowland, David M. Murphy, Amanda A. Manik, Hannah R. Lane, Chris Y. Givens, Deborah L. Cook, Chad E. Garcia, Alessandra Narciso |
author_facet | Rowland, David M. Murphy, Amanda A. Manik, Hannah R. Lane, Chris Y. Givens, Deborah L. Cook, Chad E. Garcia, Alessandra Narciso |
author_sort | Rowland, David M. |
collection | PubMed |
description | BACKGROUND: This study targeted the association of program characteristics of 203 Doctor of Physical Therapy (DPT) programs in the United States (US) reported by the Commission on Accreditation in Physical Therapy Education (CAPTE) in their 2017 Annual Accreditation Report (AAR) with measures of core faculty research volume. The association of institutional, program, and faculty characteristics of an institution with core faculty research volume was investigated. METHODS: This observational study analyzed data provided in the AAR about program research volume. Predictor variables included institutional, program and faculty characteristics. Research volume was measured as a ratio of 1) number of peer-reviewed publications, 2) National Institutes of Health (NIH) funding, and 3) faculty with grants, per number of core faculty. Research volume was stratified by quartiles and analyzed using logistic regression analyses. The highest 25% were analyzed against the lowest 75%. RESULTS: In the multivariate logistic regression analyses, research Carnegie classification was positively associated with NIH funding (OR = 4.04; 95% CI = 1.92, 8.48) and number of peer reviewed publications (OR = 7.63; 95% CI = 3.39, 17.14). Square footage of research space was positively associated with number of peer reviewed publications (OR = 4.58; 95% CI = 2.08, 10.11). Private status was negatively associated with NIH funding (OR = 0.37; 95% CI = 0.17, 0.83) and faculty holding grants (OR = 0.38; 95% CI = 0.19, 0.76). CONCLUSIONS: There is strong evidence that research culture (e.g., research Carnegie status and dedicated research space) is related to research productivity in DPT programs in the US. Private status was indicative of a non-research intensive environment, which may be reflective of a current trend of small, non-research based private institutions initiating DPT programs. |
format | Online Article Text |
id | pubmed-7353740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73537402020-07-15 Predictors of research productivity among physical therapy programs in the United States: an observational study Rowland, David M. Murphy, Amanda A. Manik, Hannah R. Lane, Chris Y. Givens, Deborah L. Cook, Chad E. Garcia, Alessandra Narciso BMC Med Educ Research Article BACKGROUND: This study targeted the association of program characteristics of 203 Doctor of Physical Therapy (DPT) programs in the United States (US) reported by the Commission on Accreditation in Physical Therapy Education (CAPTE) in their 2017 Annual Accreditation Report (AAR) with measures of core faculty research volume. The association of institutional, program, and faculty characteristics of an institution with core faculty research volume was investigated. METHODS: This observational study analyzed data provided in the AAR about program research volume. Predictor variables included institutional, program and faculty characteristics. Research volume was measured as a ratio of 1) number of peer-reviewed publications, 2) National Institutes of Health (NIH) funding, and 3) faculty with grants, per number of core faculty. Research volume was stratified by quartiles and analyzed using logistic regression analyses. The highest 25% were analyzed against the lowest 75%. RESULTS: In the multivariate logistic regression analyses, research Carnegie classification was positively associated with NIH funding (OR = 4.04; 95% CI = 1.92, 8.48) and number of peer reviewed publications (OR = 7.63; 95% CI = 3.39, 17.14). Square footage of research space was positively associated with number of peer reviewed publications (OR = 4.58; 95% CI = 2.08, 10.11). Private status was negatively associated with NIH funding (OR = 0.37; 95% CI = 0.17, 0.83) and faculty holding grants (OR = 0.38; 95% CI = 0.19, 0.76). CONCLUSIONS: There is strong evidence that research culture (e.g., research Carnegie status and dedicated research space) is related to research productivity in DPT programs in the US. Private status was indicative of a non-research intensive environment, which may be reflective of a current trend of small, non-research based private institutions initiating DPT programs. BioMed Central 2020-07-11 /pmc/articles/PMC7353740/ /pubmed/32652999 http://dx.doi.org/10.1186/s12909-020-02133-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Rowland, David M. Murphy, Amanda A. Manik, Hannah R. Lane, Chris Y. Givens, Deborah L. Cook, Chad E. Garcia, Alessandra Narciso Predictors of research productivity among physical therapy programs in the United States: an observational study |
title | Predictors of research productivity among physical therapy programs in the United States: an observational study |
title_full | Predictors of research productivity among physical therapy programs in the United States: an observational study |
title_fullStr | Predictors of research productivity among physical therapy programs in the United States: an observational study |
title_full_unstemmed | Predictors of research productivity among physical therapy programs in the United States: an observational study |
title_short | Predictors of research productivity among physical therapy programs in the United States: an observational study |
title_sort | predictors of research productivity among physical therapy programs in the united states: an observational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353740/ https://www.ncbi.nlm.nih.gov/pubmed/32652999 http://dx.doi.org/10.1186/s12909-020-02133-1 |
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