Literature DB >> 26207439

Patient-Reported Outcomes in Male and Female Collegiate Soccer Players During an Athletic Season.

Johanna M Hoch1, Beth Druvenga1, Brittany A Ferguson1, Megan N Houston2, Matthew C Hoch1.   

Abstract

CONTEXT: Clinicians are urged to document patient-based outcomes during rehabilitation to measure health-related quality of life (HRQOL) from the patient's perspective. It is unclear how scores on patient-reported outcome instruments (PROs) vary over the course of an athletic season because of normal athletic participation.
OBJECTIVE: Our primary purpose was to evaluate the effect of administration time point on HRQOL during an athletic season. Secondary purposes were to determine test-retest reliability and minimal detectable change scores of 3 PROs commonly used in clinical practice and if a relationship exists between generic and region-specific outcome instruments.
DESIGN: Cross-sectional study.
SETTING: Athletic facility. PATIENTS OR OTHER PARTICIPANTS: Twenty-three collegiate soccer athletes (11 men, 12 women). MAIN OUTCOME MEASURE(S): At 5 time points over a spring season, we administered the Disablement in the Physically Active Scale (DPA), Foot and Ankle Ability Measure-Sport, and Knee Injury and Osteoarthritis Outcome Score (KOOS).
RESULTS: Time effects were observed for the DPA (P = .011) and KOOS Quality of Life subscale (P = .027). However, the differences between individual time points did not surpass the minimal detectable change for the DPA, and no post hoc analyses were significant for the KOOS-Quality of Life subscale. Test-retest reliability was moderate for the KOOS-Pain subscale (intraclass correlation coefficient = 0.71) and good for the remaining KOOS subscales, DPA, and Foot and Ankle Ability Measure-Sport (intraclass correlation coefficients > 0.79). The DPA and KOOS-Sport subscale demonstrated a significant moderate relationship (P = .018).
CONCLUSIONS: Athletic participation during a nontraditional, spring soccer season did not affect HRQOL. All 3 PROs were reliable and could be used clinically to monitor changes in health status throughout an athletic season. Our results demonstrate that significant deviations in scores were related to factors other than participation, such as injury. Finally, both generic and region-specific instruments should be used in clinical practice.

Entities:  

Keywords:  evidence-based practice; health-related quality of life; injury history; patient-centered outcomes

Mesh:

Year:  2015        PMID: 26207439      PMCID: PMC4639883          DOI: 10.4085/1062-6050-50.5.03

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


  19 in total

1.  Descriptive epidemiology of collegiate women's soccer injuries: National Collegiate Athletic Association Injury Surveillance System, 1988-1989 through 2002-2003.

Authors:  Randall Dick; Margot Putukian; Julie Agel; Todd A Evans; Stephen W Marshall
Journal:  J Athl Train       Date:  2007 Apr-Jun       Impact factor: 2.860

2.  Evidence of validity for the Foot and Ankle Ability Measure (FAAM).

Authors:  Robroy L Martin; James J Irrgang; Ray G Burdett; Stephen F Conti; Jessie M Van Swearingen
Journal:  Foot Ankle Int       Date:  2005-11       Impact factor: 2.827

3.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

Authors:  J Ware; M Kosinski; S D Keller
Journal:  Med Care       Date:  1996-03       Impact factor: 2.983

4.  Assessment of quality-of-life outcomes.

Authors:  M A Testa; D C Simonson
Journal:  N Engl J Med       Date:  1996-03-28       Impact factor: 91.245

5.  Quality of life assessment in elite collegiate athletes.

Authors:  D R McAllister; A R Motamedi; S L Hame; M S Shapiro; F J Dorey
Journal:  Am J Sports Med       Date:  2001 Nov-Dec       Impact factor: 6.202

6.  Descriptive epidemiology of collegiate men's soccer injuries: National Collegiate Athletic Association Injury Surveillance System, 1988-1989 through 2002-2003.

Authors:  Julie Agel; Todd A Evans; Randall Dick; Margot Putukian; Stephen W Marshall
Journal:  J Athl Train       Date:  2007 Apr-Jun       Impact factor: 2.860

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

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

8.  Validity of the Foot and Ankle Ability Measure in athletes with chronic ankle instability.

Authors:  Christopher R Carcia; RobRoy L Martin; Joshua M Drouin
Journal:  J Athl Train       Date:  2008 Apr-Jun       Impact factor: 2.860

9.  Knee Injury and Osteoarthritis Outcome Score (KOOS)--development of a self-administered outcome measure.

Authors:  E M Roos; H P Roos; L S Lohmander; C Ekdahl; B D Beynnon
Journal:  J Orthop Sports Phys Ther       Date:  1998-08       Impact factor: 4.751

10.  Normative SF-36 values in competing NCAA intercollegiate athletes differ from values in the general population.

Authors:  G Russell Huffman; Jung Park; Chris Roser-Jones; Brian J Sennett; Gautum Yagnik; David Webner
Journal:  J Bone Joint Surg Am       Date:  2008-03       Impact factor: 5.284

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  6 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.  Confirmatory Factor Analysis of the Disablement in the Physically Active Scale and Preliminary Testing of Short-Form Versions: A Calibration and Validation Study.

Authors:  Russell T Baker; Damon Burton; Michael A Pickering; Amanda Start
Journal:  J Athl Train       Date:  2019-02-11       Impact factor: 2.860

3.  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

4.  Patient-Reported Outcomes Measurement Information System Physical Function Item Bank, Version 1.0: Physical Function Assessment for Athletic Patient Populations.

Authors:  Leif P Madsen; Todd A Evans; Kelli R Snyder; Carrie L Docherty
Journal:  J Athl Train       Date:  2016-10-24       Impact factor: 2.860

5.  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

6.  Disablement in the Physically Active Scale Short Form-8: psychometric evaluation.

Authors:  Madeline P Casanova; Megan C Nelson; Michael A Pickering; Lindsay W Larkins; Karen M Appleby; Emma J Grindley; Russell T Baker
Journal:  BMC Sports Sci Med Rehabil       Date:  2021-12-14
  6 in total

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