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Clinical decision rules, spinal pain classification and prediction of treatment outcome: A discussion of recent reports in the rehabilitation literature

Overview of attention for article published in Chiropractic & Manual Therapies, June 2012
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Title
Clinical decision rules, spinal pain classification and prediction of treatment outcome: A discussion of recent reports in the rehabilitation literature
Published in
Chiropractic & Manual Therapies, June 2012
DOI 10.1186/2045-709x-20-19
Pubmed ID
Authors

Jeffrey J Hebert, Julie M Fritz

Abstract

Clinical decision rules are an increasingly common presence in the biomedical literature and represent one strategy of enhancing clinical-decision making with the goal of improving the efficiency and effectiveness of healthcare delivery. In the context of rehabilitation research, clinical decision rules have been predominantly aimed at classifying patients by predicting their treatment response to specific therapies. Traditionally, recommendations for developing clinical decision rules propose a multistep process (derivation, validation, impact analysis) using defined methodology. Research efforts aimed at developing a "diagnosis-based clinical decision rule" have departed from this convention. Recent publications in this line of research have used the modified terminology "diagnosis-based clinical decision guide." Modifications to terminology and methodology surrounding clinical decision rules can make it more difficult for clinicians to recognize the level of evidence associated with a decision rule and understand how this evidence should be implemented to inform patient care. We provide a brief overview of clinical decision rule development in the context of the rehabilitation literature and two specific papers recently published in Chiropractic and Manual Therapies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 3%
Brazil 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 7 20%
Researcher 5 14%
Lecturer 4 11%
Professor > Associate Professor 4 11%
Student > Master 4 11%
Other 8 23%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 24 69%
Nursing and Health Professions 4 11%
Social Sciences 2 6%
Sports and Recreations 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 3 9%