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P107 Developing A Customised Web-Based Data Extraction Tool Using An Existing Customer Relationship Service: Thinking Outside The Box
  1. E Nagler1,2,
  2. V Liébaut3,
  3. M Haller2,4,
  4. S van der Veer2,5,
  5. D Bolignano2,6,
  6. I Nistor2,7,
  7. W Van Biesen1,2
  1. 1Renal Division, Department of Internal Medicine, Ghent University Hospital, Ghent, Belgium
  2. 2ERBP, Ghent University Hospital, Ghent, Belgium
  3. 34CConsulting, Mechelen, Belgium
  4. 4Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria
  5. 5Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands
  6. 6CNR-IBIM Reggio Calabria, Italy
  7. 7Nephrology Department, GT. Popa University of Medicine and Pharmacy, Lasi, Romania


Background Standardised duplicate data extraction and tabulation can be challenging for organisations that develop multiple guidelines involving multiple and remote systematic review teams simultaneously.

Objectives To develop a web-based tool for facilitating duplicate data extraction and efficient discrepancy resolution.

Methods Based on previous experiences with word-processing and spreadsheet tools, European Renal Best Practice listed their system requirements and collaborated with a consultancy company to identify appropriate customisable software.

Results We wanted the system to: be web-based, guide reviewers through a standardised data extraction form, be easy-to-use and manage, allow enough flexibility to accommodate different guideline topics, be free-of-charge and easily accessible from different locations without the need for downloading software. We identified a customer relationship management service, Salesforce, that allowed us to build a data extraction module using their backbone structure. It incorporates centralised management of multiple systematic reviews simultaneously, batch allocation of studies to individual reviewers, guided customised point-and-click data extraction, generation of tables to assist discrepancy resolution with easy export to a cvs-file extension format.

Discussion This project represents a continuous effort to facilitate efficient and high-quality systematic reviewing with participation of our guideline development groups throughout the systematic reviewing process. A first version of the system is currently being evaluated.

Implications for Guideline Developers/Users Customising existing software for guideline development purposes might be an attractive and inexpensive alternative to developing new tools for data extraction when full participation of the guideline development group in the systematic review process is desired.

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