Literature DB >> 25098654

Benefits of and barriers to using patient-rated outcome measures in athletic training.

Alison R Snyder Valier1, Amy L Jennings, John T Parsons, Luzita I Vela.   

Abstract

CONTEXT: Patient-rated outcome measures (PROMs) are important for driving treatment decisions and determining treatment effectiveness. However, athletic trainers (ATs) rarely use them; understanding why may facilitate strategies for collection of these outcomes.
OBJECTIVE: To identify the benefits of and barriers to using PROMs in athletic training.
DESIGN: Cross-sectional study.
SETTING: Web-based survey. PATIENTS OR OTHER PARTICIPANTS: A total of 1469 randomly sampled ATs (age = 36.8 ± 9.8 years; 48% female) working in the college/university, 2-year institution, secondary school, clinic, hospital, or industrial/occupational setting. INTERVENTION(S): An e-mail was sent to ATs inviting them to complete a survey regarding the use, benefits, and barriers of PROMs. Athletic trainers who indicated they used PROMs (AT-PRs) completed 65 questions about the benefits of and barriers to their use. Athletic trainers who indicated no use of PROMs (AT-NONs) completed 21 questions about barriers of use. MAIN OUTCOME MEASURE(S): Dependent variables were the endorsements for the benefits of and barriers to the use of PROMs.
RESULTS: A total of 458 ATs initiated the survey and 421 (AT-PR = 26%, AT-NON = 74%) completed it (response rate = 28.7%). The most frequently endorsed benefits by AT-PRs were enhancing communication with patients (90%) and other health care professionals (80%), directing patient care (87%), and increasing examination efficiency (80%). The most frequently endorsed barriers by AT-PRs were that PROMs are time consuming (44%), difficult (36%), and confusing (31%) for patients and time consuming for clinicians to score and interpret (29%). The most frequently endorsed problems by AT-NONs were that PROMs are time consuming for clinicians to score and interpret (31%), time consuming (46%) and irrelevant to patients (28%), and lacking a support structure for clinicians (29%).
CONCLUSIONS: These results suggest that, although benefits to using PROMs exist, there are also barriers. Barriers are similar for AT-PRs and AT-NONs. Strategies to decrease barriers and facilitate the use of PROMs warrant investigation.

Entities:  

Keywords:  health-related quality of life; patient based; patient oriented; patient reported; standardized data collection

Mesh:

Year:  2014        PMID: 25098654      PMCID: PMC4208873          DOI: 10.4085/1062-6050-49.3.15

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


  23 in total

1.  Compiled from agency for healthcare research and quality web site.

Authors: 
Journal:  J Perinat Educ       Date:  2001

2.  Attitudes toward standardized data collection.

Authors:  L Russek; M Wooden; S Ekedahl; A Bush
Journal:  Phys Ther       Date:  1997-07

3.  Impact of prior concussions on health-related quality of life in collegiate athletes.

Authors:  Matthew D Kuehl; Alison R Snyder; Steven E Erickson; Tamara C Valovich McLeod
Journal:  Clin J Sport Med       Date:  2010-03       Impact factor: 3.638

4.  Upper extremity injury history, current pain rating, and health-related quality of life in female softball pitchers.

Authors:  Eric L Sauers; Danelle L Dykstra; R Curtis Bay; Kellie Huxel Bliven; Alison R Snyder
Journal:  J Sport Rehabil       Date:  2011-02       Impact factor: 1.931

5.  Implementation of measurement instruments in physical therapist practice: development of a tailored strategy.

Authors:  J G Anita Stevens; Anna J M H Beurskens
Journal:  Phys Ther       Date:  2010-04-22

6.  Clinicians and outcome measurement: what's the use?

Authors:  Ann F Garland; Marc Kruse; Gregory A Aarons
Journal:  J Behav Health Serv Res       Date:  2003 Oct-Dec       Impact factor: 1.505

7.  Using disablement models and clinical outcomes assessment to enable evidence-based athletic training practice, part I: disablement models.

Authors:  Alison R Snyder; John T Parsons; Tamara C Valovich McLeod; R Curtis Bay; Lori A Michener; Eric L Sauers
Journal:  J Athl Train       Date:  2008 Jul-Aug       Impact factor: 2.860

8.  Measuring quality of life in routine oncology practice improves communication and patient well-being: a randomized controlled trial.

Authors:  Galina Velikova; Laura Booth; Adam B Smith; Paul M Brown; Pamela Lynch; Julia M Brown; Peter J Selby
Journal:  J Clin Oncol       Date:  2004-02-15       Impact factor: 44.544

9.  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

10.  Implementing an integrated electronic outcomes and electronic health record process to create a foundation for clinical practice improvement.

Authors:  Daniel Deutscher; Dennis L Hart; Ruth Dickstein; Susan D Horn; Moshe Gutvirtz
Journal:  Phys Ther       Date:  2007-11-27
View more
  17 in total

1.  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

2.  Prosthetists' perceptions and use of outcome measures in clinical practice: Long-term effects of focused continuing education.

Authors:  Brian J Hafner; Susan E Spaulding; Rana Salem; Sara J Morgan; Ignacio Gaunaurd; Robert Gailey
Journal:  Prosthet Orthot Int       Date:  2016-09-16       Impact factor: 1.895

3.  A study to assess whether fixed-width beam walking provides sufficient challenge to assess balance ability across lower limb prosthesis users.

Authors:  Andrew Sawers; Brian J Hafner
Journal:  Clin Rehabil       Date:  2017-09-26       Impact factor: 3.477

4.  Electronic Patient-Reported Outcome Validation: Disablement in the Physically Active Scale.

Authors:  Diane Stankevitz; Lindsay Larkins; Russell T Baker
Journal:  J Athl Train       Date:  2019-02-28       Impact factor: 2.860

5.  Patient-Reported Outcome Measures in Sports Medicine: A Concise Resource for Clinicians and Researchers.

Authors:  Kenneth C Lam; Ashley N Marshall; Alison R Snyder Valier
Journal:  J Athl Train       Date:  2020-02-07       Impact factor: 2.860

6.  The Relationship Among 3 Generic Patient-Reported Outcome Instruments in Patients With Lower Extremity Health Conditions.

Authors:  Johanna M Hoch; Christina Lorete; Jamie Legner; Matthew C Hoch
Journal:  J Athl Train       Date:  2019-05-14       Impact factor: 2.860

7.  Using Clinical Balance Tests to Assess Fall Risk among Established Unilateral Lower Limb Prosthesis Users: Cutoff Scores and Associated Validity Indices.

Authors:  Andrew Sawers; Brian J Hafner
Journal:  PM R       Date:  2019-05-03       Impact factor: 2.298

8.  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

9.  Invariance Testing of the Disablement in the Physically Active Scale.

Authors:  Russell T Baker; Madeline P Casanova; Michael A Pickering; Jayme G Baker
Journal:  J Athl Train       Date:  2020-11-01       Impact factor: 2.860

10.  Athletic Trainers' Perceptions of and Barriers to Patient Care Documentation: A Report From the Athletic Training Practice-Based Research Network.

Authors:  Cailee E Welch Bacon; Bradly L Eppelheimer; Tricia M Kasamatsu; Kenneth C Lam; Sara L Nottingham
Journal:  J Athl Train       Date:  2017-06-02       Impact factor: 2.860

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.