Literature DB >> 31618071

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

Kenneth C Lam1, Cailee E Welch Bacon1,2, Eric L Sauers1,2, R Curtis Bay1.   

Abstract

CONTEXT: Recently, calls to conduct comparative effectiveness research (CER) in athletic training to better support patient care decisions have been circulated. Traditional research methods (eg, randomized controlled trials [RCTs], observational studies) may be ill suited for CER. Thus, innovative research methods are needed to support CER efforts.
OBJECTIVES: To discuss the limitations of traditional research designs in CER studies, describe a novel methodologic approach called the point-of-care clinical trial (POC-CT), and highlight components of the POC-CT (eg, incorporation of an electronic medical record [EMR], Bayesian adaptive feature) that allow investigators to conduct scientifically rigorous studies at the point of care. DESCRIPTION: Practical concerns (eg, high costs and limited generalizability of RCTs, the inability to control for bias in observational studies) may stall CER efforts in athletic training. In short, the aim of the POC-CT is to embed a randomized pragmatic trial into routine care; thus, patients are randomized to minimize potential bias, but the study is conducted at the point of care to limit cost and improve the generalizability of the findings. Furthermore, the POC-CT uses an EMR to replace much of the infrastructure associated with a traditional RCT (eg, research team, patient and clinician reminders) and a Bayesian adaptive feature to help limit the number of patients needed for the study. Together, the EMR and Bayesian adaptive feature can improve the overall feasibility of the study and preserve the typical clinical experiences of the patient and clinician. CLINICAL ADVANTAGES: The POC-CT includes the basic tenets of practice-based research because studies are conducted at the point of care, in real-life settings, and during routine clinical practice. If implemented effectively, the POC-CT can be seamlessly integrated into daily clinical practice, allowing investigators to establish patient-reported evidence that may be quickly applied to patient care decisions. This design appears to be a promising approach for CER investigations and may help establish a "learning health care system" in the sports medicine community.

Entities:  

Keywords:  Bayesian statistics; adaptive design; electronic medical record; evidence-based practice; patient-reported outcomes

Mesh:

Year:  2019        PMID: 31618071      PMCID: PMC7093921          DOI: 10.4085/1062-6050-307-18

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


  68 in total

1.  Toward evidence-based medical statistics. 2: The Bayes factor.

Authors:  S N Goodman
Journal:  Ann Intern Med       Date:  1999-06-15       Impact factor: 25.391

2.  Further statistics in dentistry. Part 9: Bayesian statistics.

Authors:  A Petrie; J S Bulman; J F Osborn
Journal:  Br Dent J       Date:  2003-02-08       Impact factor: 1.626

3.  Comparative effectiveness research and medical informatics.

Authors:  Leonard W D'Avolio; Wildon R Farwell; Louis D Fiore
Journal:  Am J Med       Date:  2010-12       Impact factor: 4.965

Review 4.  Observational methods in comparative effectiveness research.

Authors:  John Concato; Elizabeth V Lawler; Robert A Lew; J Michael Gaziano; Mihaela Aslan; Grant D Huang
Journal:  Am J Med       Date:  2010-12       Impact factor: 4.965

5.  A national survey of primary care practice-based research networks.

Authors:  William M Tierney; Caitlin C Oppenheimer; Brenda L Hudson; Jennifer Benz; Amy Finn; John M Hickner; David Lanier; Daniel S Gaylin
Journal:  Ann Fam Med       Date:  2007 May-Jun       Impact factor: 5.166

6.  Placing trials in context using Bayesian analysis. GUSTO revisited by Reverend Bayes.

Authors:  J M Brophy; L Joseph
Journal:  JAMA       Date:  1995-03-15       Impact factor: 56.272

7.  Infusion of statistical science in comparative effectiveness research.

Authors:  Sally C Morton; Jonas H Ellenberg
Journal:  Clin Trials       Date:  2012-02       Impact factor: 2.486

8.  Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study.

Authors:  H B Hubert; M Feinleib; P M McNamara; W P Castelli
Journal:  Circulation       Date:  1983-05       Impact factor: 29.690

9.  A point-of-care clinical trial comparing insulin administered using a sliding scale versus a weight-based regimen.

Authors:  Louis D Fiore; Mary Brophy; Ryan E Ferguson; Leonard D'Avolio; John A Hermos; Robert A Lew; Gheorghe Doros; Chester H Conrad; Joseph A Gus O'Neil; Thomas P Sabin; James Kaufman; Stephen L Swartz; Elizabeth Lawler; Matthew H Liang; J Michael Gaziano; Philip W Lavori
Journal:  Clin Trials       Date:  2011-04       Impact factor: 2.486

10.  The clinically-integrated randomized trial: proposed novel method for conducting large trials at low cost.

Authors:  Andrew J Vickers; Peter T Scardino
Journal:  Trials       Date:  2009-03-05       Impact factor: 2.279

View more
  2 in total

1.  Commentary on Point-of-Care Clinical Trials in Sports Medicine Research: Identifying Effective Treatment Interventions Through Real-World Evidence.

Authors:  Mark A Sutherlin
Journal:  J Athl Train       Date:  2020-02-14       Impact factor: 2.860

2.  Characterizing athletic healthcare: A perspective on methodological challenges, lessons learned, and paths forward.

Authors:  Kenneth C Lam; Alison R Snyder Valier; Tamara C Valovich McLeod; Ashley N Marshall
Journal:  Front Sports Act Living       Date:  2022-08-29
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.