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. 2020 Oct 10;9(10):635-644.
doi: 10.1302/2046-3758.910.BJR-2019-0362.R1. eCollection 2020 Oct.

Computerized registry as a potential tool for surveillance and management of complex bone and joint infections in France: French registry of complex bone and joint infections

Affiliations

Computerized registry as a potential tool for surveillance and management of complex bone and joint infections in France: French registry of complex bone and joint infections

Adrien Lemaignen et al. Bone Joint Res. .

Abstract

Aims: The French registry for complex bone and joint infections (C-BJIs) was created in 2012 in order to facilitate a homogeneous management of patients presented for multidisciplinary advice in referral centres for C-BJI, to monitor their activity and to produce epidemiological data. We aimed here to present the genesis and characteristics of this national registry and provide the analysis of its data quality.

Methods: A centralized online secured database gathering the electronic case report forms (eCRFs) was filled for every patient presented in multidisciplinary meetings (MM) among the 24 French referral centres. Metrics of this registry were described between 2012 and 2016. Data quality was assessed by comparing essential items from the registry with a controlled dataset extracted from medical charts of a random sample of patients from each centre. Internal completeness and consistency were calculated.

Results: Between 2012 and 2016, 30,607 presentations in MM were recorded corresponding to 17,748 individual patients (mean age 62.1 years (SD 18.4); 10,961 (61.8%) males). BJI was considered as complex for 63% of cases (n = 19,355), and 13,376 (44%) had prosthetic joint infections (PJIs). The controlled dataset, available for 19 centres, included 283 patients. Global consistency and completeness were estimated at 88.2% and 88.9%, respectively, considering missing items in the eCRFs as negative results.

Conclusion: This national registry is one of the largest prospective databases on BJI and its acceptable data quality parameters allow further use for epidemiological purposes.Cite this article: Bone Joint Res 2020;9(9):635-644.

Keywords: Arthroplasty; Bone and joint infections; Epidemiology; Quality control; Registry.

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Conflict of interest statement

ICMJE COI statement

Figures

Fig. 1
Fig. 1
Map of referral centres for bone and joint infections in France. Total number of patients presented in multidisciplinary meetings (MM) between 2012 and 2016 in the nine CRIOAcs ("Centre de Référence pour les Infections Osteo-Articulaires Complexes") and the 15 associate centres.
Fig. 2
Fig. 2
Description of redundant lines per patient in the database number of presentations in a multidisciplinary meeting (MM) per patient according to the type of referral centre: CRIOAc ("Centre de Référence pour les Infections Osteo-Articulaires Complexes") or associate centre (n = 17,748 individual patients).
Fig. 3
Fig. 3
Crude data consistency and completeness. a) Crude data consistency by referral centre. Each bar represents the percentage of consistent data by centre. The grey line represents the mean consistency. b) Crude data consistency by year. c) Crude data completeness by referral centre. The grey line represents the mean completeness. d) Crude data completeness by year.
Fig. 4
Fig. 4
Data consistency and completeness, considering missing data as a negative result. a) Data consistency by referral centre. Each bar represents the percentage of consistent data by centre. The grey line represents the mean consistency. b) Data consistency by year. c) Data completeness by referral centre. The grey line represents the mean completeness. d) Data completeness by year.

References

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