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Connective tissue diseases and related disorders

The development of quality indicators for systemic lupus erythematosus using electronic health data: A modified RAND appropriateness method

ORCID Icon, , , ORCID Icon, , , , , , , ORCID Icon, , , , , , , , , & show all
Pages 525-531 | Received 14 Dec 2018, Accepted 30 Apr 2019, Published online: 26 Jun 2019
 

Abstract

Objective: Quality indicators (QIs) are tools that standardize evaluations in terms of the minimum acceptable quality of care, presumably contributing for the better management of patients with systemic lupus erythematosus (SLE). This study aimed to develop QIs for SLE using electronic health data.

Methods: The modified RAND/UCLA Appropriateness Method was used to develop the QIs. First, a literature review was conducted. Second, the candidate QI items that were available to be evaluated using the electronic health data were extracted. Third, the appropriateness of the items was assessed via rating rounds and panelists’ discussions.

Results: We found 3621 articles in the initial search. Finally, 34 studies were reviewed, from which 17 potential indicators were extracted as candidate QIs. Twelve indicators were selected as the final QI set through the process of appropriateness. The median appropriateness of these 12 indicators was at least 7.5, and all of them were without disagreement. The QI included assessment of disease activity, treatment of SLE, drug toxicity monitoring, treatment of glucocorticoid complications, and assessment of SLE complications.

Conclusion: We formulated 12 QIs for the assessment of patients with SLE based on electronic medical data. Our QI set would be a practical tool as a quality measure.

Acknowledgments

We are grateful to Nobuo Kuramoto (Kyoto University) for the consultations during the QI item selection. We would also like to thank Yuki Kataoka (Hyogo Prefectural Amagasaki General Medical Center) and Mikako Goto (National Center for Child Health and Development) for assistance with the literature searches.

Conflict of interest

None

Additional information

Funding

This study was supported by JSPS KAKENHI Grant Number 16H05267.

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