Subtopic Deep Dive

Clinical Education in Athletic Training
Research Guide

What is Clinical Education in Athletic Training?

Clinical Education in Athletic Training encompasses supervised clinical practice models, precepting effectiveness, and competency assessment to bridge classroom theory with real-world application for athletic training students.

Researchers evaluate mentoring processes, instructor characteristics, and outcomes assessment in clinical settings. Key studies include grounded theory on mentoring (Pitney and Ehlers, 2004, 126 citations) and perceptions of clinical instructors (Laurent and Weidner, 2001, 106 citations). Over 10 papers from 2001-2019 address student retention, burnout, and active learning, with Monaco and Martin (2007) at 247 citations.

Curated Papers

Key Challenges

Why It Matters

Effective clinical education prepares athletic trainers for safe patient care in sports settings, reducing errors in injury management. Studies like Dodge et al. (2009, 102 citations) show retention factors impact program success, while Valovich McLeod et al. (2008, 112 citations) link outcomes assessment to evidence-based practice. Optimizing precepting, as in Pitney and Ehlers (2004), improves competency and professional socialization (Klossner, 2008, 88 citations).

Key Research Challenges

Mentoring Process Variability

Mentoring in clinical settings lacks standardized models, leading to inconsistent student experiences. Pitney and Ehlers (2004, 126 citations) used grounded theory to identify phases but noted contextual differences. Programs struggle to replicate effective mentor-student dynamics across sites.

Instructor Competency Gaps

Clinical instructors vary in perceived helpful traits, affecting student learning. Laurent and Weidner (2001, 106 citations) found discrepancies between student and instructor views on characteristics like feedback. Training instructors remains underdeveloped despite historical evolution (Weidner and Henning, 2002, 88 citations).

Student Retention and Burnout

High attrition rates challenge program viability due to environmental stressors. Dodge et al. (2009, 102 citations) identified persistence factors, while Kania et al. (2009, 87 citations) linked personal traits to burnout in trainers. Clinical demands exacerbate psychosocial issues (Clement et al., 2013, 102 citations).

Essential Papers

The Millennial Student: A New Generation of Learners

Michele Monaco, Malissa Martin · 2007 · Athletic Training Education Journal · 247 citations

Objective: Each generation comes to college with varying characteristics that distinguish them from their predecessors. Teaching has evolved into a learning centered classroom that focuses on stude...

A Grounded Theory Study of the Mentoring Process Involved With Undergraduate Athletic Training Students.

William A. Pitney, Greg Ehlers · 2004 · PubMed · 126 citations

OBJECTIVE: To gain insight regarding the mentoring processes involving students enrolled in athletic training education programs and to create a mentoring model. DESIGN AND SETTING: We conducted a ...

Using Disablement Models and Clinical Outcomes Assessment to Enable Evidence-Based Athletic Training Practice, Part II: Clinical Outcomes Assessment

Tamara C. Valovich McLeod, Alison R. Snyder Valier, J. Thomas Parsons et al. · 2008 · Journal of Athletic Training · 112 citations

Abstract Objective: To provide an overview of clinical outcomes assessment, discuss the classification of outcomes measures, present considerations for choosing outcomes scales, identify the import...

Developing Cognitive Skills Through Active Learning: A Systematic Review of Health Care Professions

Nicolette Harris, Cailee E. Welch Bacon · 2019 · Athletic Training Education Journal · 112 citations

Objective To systematically review current literature to determine whether active learning is more successful than passive learning at producing cognitive skills in health care professions students...

Clinical Instructors' and Student Athletic Trainers' Perceptions of Helpful Clinical Instructor Characteristics.

Tim Laurent, Thomas G. Weidner · 2001 · PubMed · 106 citations

OBJECTIVE: To compare the perceptions of students and clinical instructors regarding helpful clinical instructor characteristics. DESIGN AND SETTING: We developed a questionnaire containing helpful...

Student Retention in Athletic Training Education Programs

Thomas M. Dodge, Murray Mitchell, James M. Mensch · 2009 · Journal of Athletic Training · 102 citations

Abstract Context: The success of any academic program, including athletic training, depends upon attracting and keeping quality students. The nature of persistent students versus students who prema...

Psychosocial Aspects of Athletic Injuries as Perceived by Athletic Trainers

Damien Clement, Megan Granquist, Monna Arvinen‐Barrow · 2013 · Journal of Athletic Training · 102 citations

Context: Despite the Psychosocial Strategies and Referral content area, athletic trainers (ATs) generally lack confidence in their ability to use this information. Objective: The current study's pr...

Reading Guide

Foundational Papers

Start with Monaco and Martin (2007, 247 citations) for generational learner traits, Pitney and Ehlers (2004, 126 citations) for mentoring model, and Laurent and Weidner (2001, 106 citations) for instructor perceptions to build core understanding.

Recent Advances

Study Harris and Bacon (2019, 112 citations) on active learning, Clement et al. (2013, 102 citations) on psychosocial aspects, and Klossner (2008, 88 citations) on professional socialization.

Core Methods

Grounded theory (Pitney and Ehlers, 2004), questionnaire surveys (Laurent and Weidner, 2001), systematic reviews (Harris and Bacon, 2019), and disablement models (Valovich McLeod et al., 2008).

How PapersFlow Helps You Research Clinical Education in Athletic Training

Discover & Search

Research Agent uses searchPapers('clinical education athletic training mentoring') to find Pitney and Ehlers (2004), then citationGraph reveals 126 citing papers on precepting models, and findSimilarPapers expands to retention studies like Dodge et al. (2009). exaSearch queries generational learning differences to surface Monaco and Martin (2007, 247 citations).

Analyze & Verify

Analysis Agent applies readPaperContent on Laurent and Weidner (2001) to extract instructor traits, verifyResponse with CoVe checks consistency across 106-citation impacts, and runPythonAnalysis uses pandas to compare retention stats from Dodge et al. (2009). GRADE grading scores evidence quality in outcomes assessment (Valovich McLeod et al., 2008) for competency metrics.

Synthesize & Write

Synthesis Agent detects gaps in burnout prevention from Kania et al. (2009) versus mentoring (Pitney and Ehlers, 2004), flags contradictions in instructor perceptions (Laurent and Weidner, 2001). Writing Agent employs latexEditText for clinical model revisions, latexSyncCitations integrates 10+ papers, latexCompile generates reports, and exportMermaid diagrams mentoring phases.

Use Cases

"Analyze retention predictors in athletic training clinical programs using statistical models."

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas regression on Dodge et al. 2009 data) → researcher gets CSV of persistence factors with p-values.

"Write a review on clinical instructor characteristics with citations and figures."

Research Agent → citationGraph (Laurent and Weidner 2001) → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → researcher gets compiled PDF with tables.

"Find code for simulating clinical competency assessments from papers."

Research Agent → paperExtractUrls (Valovich McLeod et al. 2008) → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets Python scripts for outcomes modeling.

Automated Workflows

Deep Research workflow conducts systematic review: searchPapers(50+ on clinical education) → citationGraph → GRADE grading → structured report on precepting evolution (Weidner and Henning, 2002). DeepScan applies 7-step analysis with CoVe checkpoints to verify mentoring models (Pitney and Ehlers, 2004). Theorizer generates theory on millennial learner integration (Monaco and Martin, 2007) from active learning synthesis (Harris and Bacon, 2019).

Try Doxa for Clinical Education in Athletic Training Research

Frequently Asked Questions

What defines clinical education in athletic training?

Supervised practice models, precepting, and competency assessment bridge theory to application (Weidner and Henning, 2002, 88 citations).

What are key methods in this subtopic?

Grounded theory for mentoring (Pitney and Ehlers, 2004), surveys for instructor traits (Laurent and Weidner, 2001), and disablement models for outcomes (Valovich McLeod et al., 2008).

What are influential papers?

Monaco and Martin (2007, 247 citations) on millennials, Pitney and Ehlers (2004, 126 citations) on mentoring, Dodge et al. (2009, 102 citations) on retention.

What open problems exist?

Standardizing mentoring across sites, addressing burnout in clinical instructors (Kania et al., 2009), and scaling active learning for cognitive skills (Harris and Bacon, 2019).