Cargando…

A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines

INTRODUCTION: The purpose of this study was to compare statistical knowledge of health science faculty across accredited schools of dentistry, medicine, nursing, pharmacy, and public health. METHODS: A probability sample of schools was selected, and all faculty at each selected school were invited t...

Descripción completa

Detalles Bibliográficos
Autores principales: Hayat, Matthew J., Schwartz, Todd A., Kim, MyoungJin, Ali, Syeda Zahra, Jiroutek, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411270/
https://www.ncbi.nlm.nih.gov/pubmed/34527292
http://dx.doi.org/10.1017/cts.2021.820
_version_ 1783747268104421376
author Hayat, Matthew J.
Schwartz, Todd A.
Kim, MyoungJin
Ali, Syeda Zahra
Jiroutek, Michael R.
author_facet Hayat, Matthew J.
Schwartz, Todd A.
Kim, MyoungJin
Ali, Syeda Zahra
Jiroutek, Michael R.
author_sort Hayat, Matthew J.
collection PubMed
description INTRODUCTION: The purpose of this study was to compare statistical knowledge of health science faculty across accredited schools of dentistry, medicine, nursing, pharmacy, and public health. METHODS: A probability sample of schools was selected, and all faculty at each selected school were invited to participate in an online statistical knowledge assessment that covered fundamental topics including randomization, study design, statistical power, confidence intervals, multiple testing, standard error, regression outcome, and odds ratio. RESULTS: A total of 708 faculty from 102 schools participated. The overall response rate was 6.5%. Most (94.2%) faculty reported reading the peer-reviewed health-related literature. Respondents answered 66.2% of questions correctly across all questions and disciplines. Public health had the highest performance (80.7%) and dentistry the lowest (53.3%). CONCLUSIONS: Knowledge of statistics is essential for critically evaluating evidence and understanding the health literature. These study results identify a gap in knowledge by educators tasked with training the next generation of health science professionals. Recommendations for addressing this gap are provided.
format Online
Article
Text
id pubmed-8411270
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-84112702021-09-14 A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines Hayat, Matthew J. Schwartz, Todd A. Kim, MyoungJin Ali, Syeda Zahra Jiroutek, Michael R. J Clin Transl Sci Research Article INTRODUCTION: The purpose of this study was to compare statistical knowledge of health science faculty across accredited schools of dentistry, medicine, nursing, pharmacy, and public health. METHODS: A probability sample of schools was selected, and all faculty at each selected school were invited to participate in an online statistical knowledge assessment that covered fundamental topics including randomization, study design, statistical power, confidence intervals, multiple testing, standard error, regression outcome, and odds ratio. RESULTS: A total of 708 faculty from 102 schools participated. The overall response rate was 6.5%. Most (94.2%) faculty reported reading the peer-reviewed health-related literature. Respondents answered 66.2% of questions correctly across all questions and disciplines. Public health had the highest performance (80.7%) and dentistry the lowest (53.3%). CONCLUSIONS: Knowledge of statistics is essential for critically evaluating evidence and understanding the health literature. These study results identify a gap in knowledge by educators tasked with training the next generation of health science professionals. Recommendations for addressing this gap are provided. Cambridge University Press 2021-07-14 /pmc/articles/PMC8411270/ /pubmed/34527292 http://dx.doi.org/10.1017/cts.2021.820 Text en © The Association for Clinical and Translational Science 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hayat, Matthew J.
Schwartz, Todd A.
Kim, MyoungJin
Ali, Syeda Zahra
Jiroutek, Michael R.
A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines
title A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines
title_full A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines
title_fullStr A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines
title_full_unstemmed A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines
title_short A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines
title_sort comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411270/
https://www.ncbi.nlm.nih.gov/pubmed/34527292
http://dx.doi.org/10.1017/cts.2021.820
work_keys_str_mv AT hayatmatthewj acomparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT schwartztodda acomparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT kimmyoungjin acomparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT alisyedazahra acomparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT jiroutekmichaelr acomparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT hayatmatthewj comparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT schwartztodda comparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT kimmyoungjin comparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT alisyedazahra comparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines
AT jiroutekmichaelr comparativecrosssectionalassessmentofstatisticalknowledgeoffacultyacrossfivehealthsciencedisciplines