Literature DB >> 23068594

Practice-based research networks, part II: a descriptive analysis of the athletic training practice-based research network in the secondary school setting.

Tamara C Valovich McLeod1, Kenneth C Lam, R Curtis Bay, Eric L Sauers, Alison R Snyder Valier.   

Abstract

CONTEXT: Analysis of health care service models requires the collection and evaluation of basic practice characterization data. Practice-based research networks (PBRNs) provide a framework for gathering data useful in characterizing clinical practice.
OBJECTIVE: To describe preliminary secondary school setting practice data from the Athletic Training Practice-Based Research Network (AT-PBRN).
DESIGN: Descriptive study.
SETTING: Secondary school athletic training facilities within the AT-PBRN. PATIENTS OR OTHER PARTICIPANTS: Clinicians (n = 22) and their patients (n = 2523) from the AT-PBRN. MAIN OUTCOME MEASURE(S): A Web-based survey was used to obtain data on clinical practice site and clinician characteristics. Patient and practice characteristics were obtained via deidentified electronic medical record data collected between September 1, 2009, and April 1, 2011. Descriptive data regarding the clinician and CPS practice characteristics are reported as percentages and frequencies. Descriptive analysis of patient encounters and practice characteristic data was performed, with the percentages and frequencies of the type of injuries recorded at initial evaluation, type of treatment received at initial evaluation, daily treatment, and daily sign-in procedures.
RESULTS: The AT-PBRN had secondary school sites in 7 states, and most athletic trainers at those sites (78.2%) had less than 5 years of experience. The secondary school sites within the AT-PBRN documented 2523 patients treated across 3140 encounters. Patients most frequently sought care for a current injury (61.3%), followed by preventive services (24.0%), and new injuries (14.7%). The most common diagnoses were ankle sprain/strain (17.9%), hip sprain/strain (12.5%), concussion (12.0%), and knee pain (2.5%). The most frequent procedures were athletic trainer evaluation (53.9%), hot- or cold-pack application (26.0%), strapping (10.3%), and therapeutic exercise (5.7%). The median number of treatments per injury was 3 (interquartile range = 2, 4; range = 2-19).
CONCLUSIONS: These preliminary data describe services provided by clinicians within the AT-PBRN and demonstrate the usefulness of the PBRN model for obtaining such data.

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Year:  2012        PMID: 23068594      PMCID: PMC3465037          DOI: 10.4085/1062-6050-47.5.05

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


  41 in total

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Review 2.  The role of health information technology in the translation of research into practice: an Oklahoma Physicians Resource/Research Network (OKPRN) study.

Authors:  Zsolt Nagykaldi; James W Mold
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3.  Epidemiological features of high school baseball injuries in the United States, 2005-2007.

Authors:  Christy L Collins; R Dawn Comstock
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4.  Explaining variation in physician practice patterns and their propensities to recommend services.

Authors:  Liam O'Neill; John Kuder
Journal:  Med Care Res Rev       Date:  2005-06       Impact factor: 3.929

5.  Pediatric research in office settings (PROS): a national practice-based research network to improve children's health care.

Authors:  R C Wasserman; E J Slora; A B Bocian; G V Fleming; A E Baker; S E Pedlow; W Kessel
Journal:  Pediatrics       Date:  1998-12       Impact factor: 7.124

6.  Epidemiology of severe injuries among United States high school athletes: 2005-2007.

Authors:  Cory J Darrow; Christy L Collins; Ellen E Yard; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2009-06-16       Impact factor: 6.202

7.  Recent injury and health-related quality of life in adolescent athletes.

Authors:  Tamara C Valovich McLeod; R Curtis Bay; John T Parsons; Eric L Sauers; Alison R Snyder
Journal:  J Athl Train       Date:  2009 Nov-Dec       Impact factor: 2.860

8.  When the rules of the game are broken: what proportion of high school sports-related injuries are related to illegal activity?

Authors:  C L Collins; S K Fields; R D Comstock
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9.  An epidemiologic comparison of high school and college wrestling injuries.

Authors:  Ellen E Yard; Christy L Collins; Randall W Dick; R Dawn Comstock
Journal:  Am J Sports Med       Date:  2007-10-11       Impact factor: 6.202

10.  Ankle injuries among United States high school sports athletes, 2005-2006.

Authors:  Alex J Nelson; Christy L Collins; Ellen E Yard; Sarah K Fields; R Dawn Comstock
Journal:  J Athl Train       Date:  2007 Jul-Sep       Impact factor: 2.860

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  19 in total

Review 1.  Sports Injury Surveillance Systems: A Review of Methods and Data Quality.

Authors:  Christina L Ekegren; Belinda J Gabbe; Caroline F Finch
Journal:  Sports Med       Date:  2016-01       Impact factor: 11.136

2.  Use of Patient-Reported Outcome Measures in Athletic Training: Common Measures, Selection Considerations, and Practical Barriers.

Authors:  Kenneth C Lam; Katie M Harrington; Kenneth L Cameron; Alison R Snyder Valier
Journal:  J Athl Train       Date:  2019-04-01       Impact factor: 2.860

3.  Point-of-Care Clinical Trials in Sports Medicine Research: Identifying Effective Treatment Interventions Through Comparative Effectiveness Research.

Authors:  Kenneth C Lam; Cailee E Welch Bacon; Eric L Sauers; R Curtis Bay
Journal:  J Athl Train       Date:  2019-10-16       Impact factor: 2.860

4.  Recognizing the Research Participants Behind the Numbers: "Every Line of Data is a Story".

Authors:  Zachary Y Kerr; Johna K Register-Mihalik; Avinash Chandran
Journal:  J Athl Train       Date:  2019-08-28       Impact factor: 2.860

Review 5.  Quality Improvement in Athletic Health Care.

Authors:  Andrea D Lopes Sauers; Eric L Sauers; Alison R Snyder Valier
Journal:  J Athl Train       Date:  2017-11-10       Impact factor: 2.860

6.  Practice-based research networks, part I: clinical laboratories to generate and translate research findings into effective patient care.

Authors:  Eric L Sauers; Tamara C Valovich McLeod; R Curtis Bay
Journal:  J Athl Train       Date:  2012 Sep-Oct       Impact factor: 2.860

7.  Athletic Training Service Characteristics for Patients With Ankle Sprains Sustained During High School Athletics.

Authors:  Janet E Simon; Erik A Wikstrom; Dustin R Grooms; Carrie L Docherty; Thomas P Dompier; Zachary Y Kerr
Journal:  J Athl Train       Date:  2018-01-26       Impact factor: 2.860

8.  Methods and Descriptive Epidemiology of Services Provided by Athletic Trainers in High Schools: The National Athletic Treatment, Injury and Outcomes Network Study.

Authors:  Zachary Y Kerr; Thomas P Dompier; Sara L Dalton; Sayers John Miller; Ross Hayden; Stephen W Marshall
Journal:  J Athl Train       Date:  2015-12-17       Impact factor: 2.860

9.  Athletic Trainers' Practice Patterns Regarding Medical Documentation.

Authors:  Lindsey E Eberman; Elizabeth R Neil; Sara L Nottingham; Tricia M Kasamatsu; Cailee E Welch Bacon
Journal:  J Athl Train       Date:  2019-08-06       Impact factor: 2.860

10.  Future Strategies to Enhance Patient Care Documentation Among Athletic Trainers: A Report From the Athletic Training Practice-Based Research Network.

Authors:  Cailee E Welch Bacon; Tricia M Kasamatsu; Kenneth C Lam; Sara L Nottingham
Journal:  J Athl Train       Date:  2018-06-12       Impact factor: 2.860

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