HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) All Versions of this Article: ptj.20070327v1 88/9/1078    most recent Submit a response Alert me when this article is cited Alert me when Rapid Responses are posted Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Resnik, L. Articles by Mor, V. Search for Related Content PubMed PubMed Citation Articles by Resnik, L. Articles by Mor, V. Related Collections Clinical Competence Professional Issues Perspectives Social Bookmarking                      What's this?

Benchmarking Physical Therapy Clinic Performance: Statistical Methods to Enhance Internal Validity When Using Observational Data

L Resnik, PT, PhD, OCS, is Research Health Scientist, Providence VA Medical Center, and Assistant Professor, Department of Community Health, Brown University, 2 Stimson Ave, Providence, RI 02912 (USA)
D Liu, PhD, is Assistant Professor, Department of Community Health, Brown University
DL Hart, PT, PhD, is Director of Consulting and Research, Focus On Therapeutic Outcomes Inc, White Stone, Virginia
V Mor, PhD, is Professor and Chairperson, Department of Community Health, Brown University

Address all correspondence to Dr Resnik at: Linda_Resnik{at}Brown.edu

Many clinics and payers are beginning programs to collect and interpret outcomes related to quality of care and provider performance (ie, benchmarking). Outcomes assessment is commonly done using observational research designs, which makes it important for those involved in these endeavors to appreciate the underlying challenges and limitations of these designs. This perspective article discusses the advantages and limitations of using observational research to evaluate quality of care and provider performance in order to inform clinicians, researchers, administrators, and policy makers who want to use data to guide practice and policy or critically appraise observational studies and benchmarking efforts. Threats to internal validity, including potential confounding, patient selection bias, and missing data, are discussed along with statistical methods commonly used to address these limitations. An example is given from a recent study comparing physical therapy clinic performance in terms of patient outcomes and service utilization with and without the use of these methods. The authors demonstrate that crude differences in clinic outcomes and service utilization tend to be inflated compared with the differences that are statistically adjusted for selected threats to internal validity. The authors conclude that quality of care measurement and ranking procedures that do not use similar methods may produce findings that may be misleading.

CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				D. U. Jette, R. Brown, N. Collette, W. Friant, and L. Graves Physical Therapists' Management of Patients in the Acute Care Setting: An Observational Study Physical Therapy, November 1, 2009; 89(11): 1158 - 1181. [Abstract] [Full Text] [PDF]

				Y.-C. Wang, D. L. Hart, P. W. Stratford, and J. E. Mioduski Clinical Interpretation of a Lower-Extremity Functional Scale-Derived Computerized Adaptive Test Physical Therapy, September 1, 2009; 89(9): 957 - 968. [Abstract] [Full Text] [PDF]

				L. Resnik, D. Liu, V. Mor, and D. L Hart Predictors of Physical Therapy Clinic Performance in the Treatment of Patients With Low Back Pain Syndromes Physical Therapy, September 1, 2008; 88(9): 989 - 1004. [Abstract] [Full Text] [PDF]