Literature DB >> 18668177

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

Tamara C Valovich McLeod1, Alison R Snyder, John T Parsons, R Curtis Bay, Lori A Michener, Eric L Sauers.   

Abstract

OBJECTIVE: To provide an overview of clinical outcomes assessment, discuss the classification of outcomes measures, present considerations for choosing outcomes scales, identify the importance of assessing clinical outcomes, and describe the critical link between the utilization of disablement models and clinical outcomes assessment.
BACKGROUND: Clinical outcomes are the end result of health care services. Clinical outcomes assessment is based on the conceptual framework of disablement models and serves as the measurement method for the collection of patient-oriented evidence, a concept central to evidence-based practice. DESCRIPTION: Clinical outcomes management refers to the use of outcomes measures in the course of routine clinical care and provides athletic trainers with a mechanism to assess treatment progress and to measure the end results of the services they provide. Outcomes measures can be classified as either clinician based or patient based. Clinician-based measures, such as range of motion and strength, are taken directly by clinicians. Patient-based measures solicit a patient's perception as to health status in the form of questionnaires and survey scales. Clinician-based measures may assist with patient evaluation, but patient-based measures should always be included in clinical assessment to identify what is important to the patient. CLINICAL AND RESEARCH ADVANTAGES: Evidence-based athletic training practice depends on clinical outcomes research to provide the foundation of patient-oriented evidence. The widespread use of clinical outcomes assessment, based on the disablement model framework, will be necessary for athletic trainers to demonstrate the effectiveness of therapies and interventions, the provision of patient-centered care, and the development of evidence-based practice guidelines.

Entities:  

Keywords:  evidence-based practice; patient self-report; quality of life; scales

Mesh:

Year:  2008        PMID: 18668177      PMCID: PMC2474824          DOI: 10.4085/1062-6050-43.4.437

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


  48 in total

1.  Orthopaedic information mastery: applying evidence-based information tools to improve patient outcomes while saving orthopaedists' time.

Authors:  S R Hurwitz; D Slawson; A Shaughnessy
Journal:  J Bone Joint Surg Am       Date:  2000-06       Impact factor: 5.284

Review 2.  Outcome measures for clinical rehabilitation trials: impairment, function, quality of life, or value?

Authors:  Derick T Wade
Journal:  Am J Phys Med Rehabil       Date:  2003-10       Impact factor: 2.159

3.  Change is hard: adopting a disablement model for athletic training.

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

4.  Measures of functional limitation as predictors of disablement in athletes with acute ankle sprains.

Authors:  R W Wilson; B M Gansneder
Journal:  J Orthop Sports Phys Ther       Date:  2000-09       Impact factor: 4.751

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.  The relationship between self-reported and clinical measures and the number of days to return to sport following acute lateral ankle sprains.

Authors:  Kevin M Cross; Teddy W Worrell; James E Leslie; K Renee Van Veld
Journal:  J Orthop Sports Phys Ther       Date:  2002-01       Impact factor: 4.751

Review 7.  A review of self-report scales for the assessment of functional limitation and disability of the shoulder.

Authors:  L A Michener; B G Leggin
Journal:  J Hand Ther       Date:  2001 Apr-Jun       Impact factor: 1.950

8.  Validity and reliability of the migraine-specific quality of life questionnaire (MSQ Version 2.1).

Authors:  B C Martin; D S Pathak; M I Sharfman; J U Adelman; F Taylor; W J Kwong; P Jhingran
Journal:  Headache       Date:  2000-03       Impact factor: 5.887

9.  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

10.  Development of disease-specific quality of life measurement tools.

Authors:  Alexandra Kirkley; Sharon Griffin
Journal:  Arthroscopy       Date:  2003-12       Impact factor: 4.772

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  39 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.  Change is hard: adopting a disablement model for athletic training.

Authors:  John T Parsons; Tamara C Valovich McLeod; Alison R Snyder; Eric L Sauers
Journal:  J Athl Train       Date:  2008 Jul-Aug       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.  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

5.  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

6.  Current Health-Related Quality of Life in Former National Collegiate Athletic Association Division I Collision Athletes Compared With Contact and Limited-Contact Athletes.

Authors:  Janet E Simon; Carrie L Docherty
Journal:  J Athl Train       Date:  2016-03-09       Impact factor: 2.860

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

Authors:  Alison R Snyder Valier; Amy L Jennings; John T Parsons; Luzita I Vela
Journal:  J Athl Train       Date:  2014-08-06       Impact factor: 2.860

8.  Preseason Perceived Physical Capability and Previous Injury.

Authors:  Aaron Sciascia; Lauren E Haegele; Jean Lucas; Timothy L Uhl
Journal:  J Athl Train       Date:  2015-08-19       Impact factor: 2.860

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

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

10.  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

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