Research Electronic Data Capture (REDCap®) used as an audit tool with a built-in database
| Autor: | Mona Kjærsgaard, Signe H. Kragelund, Søren Jensen-Fangel, Nina Ank, Rita Andersen Leth |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Electronic data capture Databases Factual 030106 microbiology Health Informatics Audit computer.software_genre Microbiology Workflow 03 medical and health sciences Antimicrobial Stewardship 0302 clinical medicine Anti-Infective Agents Expert evaluation Medicine Antimicrobial stewardship Humans 030212 general & internal medicine Medical prescription Observer Variation Infectious Disease Medicine Database business.industry Reproducibility of Results Computer Science Applications Discontinuation Microbiological sampling Project based business computer Medical Informatics |
| Zdroj: | Kragelund, S H, Kjærsgaard, M, Jensen-Fangel, S, Leth, R A & Ank, N 2018, ' Research Electronic Data Capture (REDCap®) used as an audit tool with a built-in database ', Journal of Biomedical Informatics, vol. 81, pp. 112-118 . https://doi.org/10.1016/j.jbi.2018.04.005 |
| ISSN: | 1532-0480 |
| Popis: | The aim of this study was to develop an audit tool with a built-in database using Research Electronic Data Capture (REDCap®) as part of an antimicrobial stewardship program at a regional hospital in the Central Denmark Region, and to analyse the need, if any, to involve more than one expert in the evaluation of cases of antimicrobial treatment, and the level of agreement among the experts. Patients treated with systemic antimicrobials in the period from 1 September 2015 to 31 August 2016 were included, in total 722 cases. Data were collected retrospectively and entered manually. The audit was based on seven flow charts regarding: (1) initiation of antimicrobial treatment (2) infection (3) prescription and administration of antimicrobials (4) discontinuation of antimicrobials (5) reassessment within 48 h after the first prescription of antimicrobials (6) microbiological sampling in the period between suspicion of infection and the first administration of antimicrobials (7) microbiological results. The audit was based on automatic calculations drawing on the entered data and on expert assessments. Initially, two experts completed the audit, and in the cases in which they disagreed, a third expert was consulted. In 31.9% of the cases, the two experts agreed on all elements of the audit. In 66.2%, the two experts reached agreement by discussing the cases. Finally, 1.9% of the cases were completed in cooperation with a third expert. The experts assessed 3406 flow charts of which they agreed on 75.8%. We succeeded in creating an audit tool with a built-in database that facilitates independent expert evaluation using REDCap. We found a large inter-observer difference that needs to be considered when constructing a project based on expert judgements. Our two experts agreed on most of the flow charts after discussion, whereas the third expert’s intervention did not have any influence on the overall assessment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect