Literature DB >> 18668176

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

Alison R Snyder1, John T Parsons, Tamara C Valovich McLeod, R Curtis Bay, Lori A Michener, Eric L Sauers.   

Abstract

OBJECTIVE: To present and discuss disablement models and the benefits of using these models as a framework to assess clinical outcomes in athletic training.
BACKGROUND: Conceptual schemes that form the basic architecture for clinical practice, scholarly activities, and health care policy, disablement models have been in use by health care professions since the 1960s. Disablement models are also the foundation for clinical outcomes assessment. Clinical outcomes assessment serves as the measurement tool for patient-oriented evidence and is a necessary component for evidence-based practice. DESCRIPTION: Disablement models provide benefits to health professions through organization of clinical practice and research activities; creation of a common language among health care professionals; facilitation of the delivery of patient-centered, whole-person health care; and justification of interventions based on a comprehensive assessment of the effect of illness or injury on a person's overall health-related quality of life. Currently, the predominant conceptual frameworks of disability in health care are those of the National Center for Medical Rehabilitation Research and the World Health Organization. Disablement models need to be understood, used, and studied by certified athletic trainers to promote patient-centered care and clinical outcomes assessment for the development of evidence-based practice in athletic training. CLINICAL AND RESEARCH ADVANTAGES: For clinicians and researchers to determine effective athletic training treatments, prevention programs, and practices, they must understand what is important to patients by collecting patient-oriented evidence. Patient-oriented evidence is the most essential form of outcomes evidence and necessitates an appreciation of all dimensions of health, as outlined by disablement models. The use of disablement models will allow the athletic training profession to communicate, measure, and prioritize the health care needs of patients, which will facilitate organized efforts aimed at assessing the quality of athletic training services and practices and ultimately promote successful evidence-based athletic training practice.

Entities:  

Keywords:  International Classification of Functioning; Nagi model; National Center for Medical Rehabilitation Research; evidence-based practice; health-related quality of life; patient-centered care

Mesh:

Year:  2008        PMID: 18668176      PMCID: PMC2474823          DOI: 10.4085/1062-6050-43.4.428

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


  23 in total

1.  Editorial: New Section in JAT: Evidence-Based Practice.

Authors:  Jennifer M. Hootman
Journal:  J Athl Train       Date:  2004-03       Impact factor: 2.860

2.  Creation of a clinical classification. International statistical classification of diseases and related health problems--10th revision, Australian modification (ICD-10-AM).

Authors:  K Innes; J Hooper; M Bramley; P DahDah
Journal:  Health Inf Manag       Date:  1997 Mar-May       Impact factor: 3.185

3.  The changing language of disablement.

Authors:  Alan M Jette
Journal:  Phys Ther       Date:  2005-02

4.  Adolescent health-related quality of life and perceived satisfaction with life.

Authors:  Keith J Zullig; Robert F Valois; E Scott Huebner; J Wanzer Drane
Journal:  Qual Life Res       Date:  2005-08       Impact factor: 4.147

5.  "I Can't Believe We Don't Know That!".

Authors:  Mark A Merrick
Journal:  J Athl Train       Date:  2006 Jul-Sep       Impact factor: 2.860

6.  Outcomes research: measuring the end results of health care.

Authors:  C M Clancy; J M Eisenberg
Journal:  Science       Date:  1998-10-09       Impact factor: 47.728

7.  The Lower Extremity Functional Scale (LEFS): scale development, measurement properties, and clinical application. North American Orthopaedic Rehabilitation Research Network.

Authors:  J M Binkley; P W Stratford; S A Lott; D L Riddle
Journal:  Phys Ther       Date:  1999-04

8.  Evidence based medicine: what it is and what it isn't.

Authors:  D L Sackett; W M Rosenberg; J A Gray; R B Haynes; W S Richardson
Journal:  BMJ       Date:  1996-01-13

9.  Evidence-Based Medicine: What Is It and How Does It Apply to Athletic Training?

Authors:  Russell Steves; Jennifer M. Hootman
Journal:  J Athl Train       Date:  2004-03       Impact factor: 2.860

Review 10.  Measuring health-related quality of life.

Authors:  G H Guyatt; D H Feeny; D L Patrick
Journal:  Ann Intern Med       Date:  1993-04-15       Impact factor: 25.391

View more
  43 in total

Review 1.  A Perceptual Framework for Conservative Treatment and Rehabilitation of Ankle Sprains: An Evidence-Based Paradigm Shift.

Authors:  Patrick O McKeon; Luke Donovan
Journal:  J Athl Train       Date:  2019-05-28       Impact factor: 2.860

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.  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.  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

5.  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

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.