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Publication

Methods to detect inappropriate use of MRI and CT for musculoskeletal conditions: A scoping review

Objective

Identify and evaluate methods suitable for detecting inappropriate use of MRI or CT in the musculoskeletal system.

Design

Systematic review of studies that described methods to measure inappropriate use of MRI or CT in the musculoskeletal system. We used a multi-step strategy to classify identified methods into categories. These categories were then analyzed according to the data needed and their limitations.

Eligibility criteria for selecting studies

English or German language studies that measured inappropriate use of MRI or CT in the musculoskeletal system. Articles were also included if they reported a general approach to the measurement of inappropriate imaging regardless of body region. Expert opinions, unsystematic reviews, commentaries, articles without abstracts, and studies on cancer were excluded.

Results

47 studies met the inclusion criteria. The categorization of the studies resulted in seven individual approaches to measure inappropriate use: (1) availability of meaningful diagnostic information; (2) predictors associated with imaging use; (3) comparison with guideline recommendations; (4) assessment by experts; (5) comparison or analysis of patients’ paths; (6) comparison with surgery findings; (7) geographic variation. All these approaches have specific data requirements and individual advantages and disadvantages regarding risk of bias and needed data.

Conclusions

We could not find a single method of choice to detect inappropriate use of MRI or CT in the musculoskeletal system. A combination of different approaches is the preferred strategy to deal with the advantages and disadvantages of the individual methods.

 

R. Emprechtinger, S. Fischer, L.A. Holzer, P. Klimek, et al., Methods to detect inappropriate use of MRI and CT for musculoskeletal conditions: A scoping review, Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 137–138 (2018) 20-26

Peter Klimek, Faculty member at the Complexity Science Hub

Peter Klimek

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