Literature DB >> 24489362

Use of databases for clinical research.

Yoon K Loke.   

Abstract

Databases are electronic filing systems that have been set up to capture patient data in a variety of clinical and administrative settings. While randomised controlled trials are the gold standard for the evaluation of healthcare interventions, electronic databases are valuable research options for studies of aetiology and prognosis, or where trials are too expensive/not logistically feasible. However, databases exist in many different settings and formats (often developed for administrative or financial reimbursement purposes rather than clinical research), and researchers need to put careful thought into identifying and acquiring relevant data sets. Accuracy of records and validation of diagnoses are key issues when planning a database study. High-quality databases can readily capture outcome data (as part of routine clinical care) without the costs and burden of additional trial-related follow-up, and there are promising hybrid models which combine the benefits of randomisation with the efficiency of outcome ascertainment using existing databases. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Evidence Based Medicine; Health Service; Information Technology; Outcomes Research

Mesh:

Year:  2014        PMID: 24489362     DOI: 10.1136/archdischild-2013-304466

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  7 in total

Review 1.  The opportunities and shortcomings of using big data and national databases for sarcoma research.

Authors:  Heather G Lyu; Adil H Haider; Adam B Landman; Chandrajit P Raut
Journal:  Cancer       Date:  2019-05-15       Impact factor: 6.860

2.  Improving accuracy of International Classification of Diseases codes for venous thromboembolism in administrative data.

Authors:  Kristen M Sanfilippo; Tzu-Fei Wang; Brian F Gage; Weijian Liu; Kenneth R Carson
Journal:  Thromb Res       Date:  2015-01-14       Impact factor: 3.944

3.  Use of Statewide Administrative Data to Assess Clinical Outcomes: A Retrospective Cohort Study of Therapeutic Anticoagulation for Isolated Calf Vein Thrombosis.

Authors:  Garth H Utter; Tejveer S Dhillon; Beate H Danielsen; Edgardo S Salcedo; Daniel J Shouldice; Misty D Humphries; Richard H White
Journal:  Med Care       Date:  2020-07       Impact factor: 3.178

4.  Change in the diagnosis of inflammatory bowel disease: a hospital-based cohort study from Korea.

Authors:  Ho-Su Lee; Jaewon Choe; Hyo Jeong Lee; Sung Wook Hwang; Sang Hyoung Park; Dong-Hoon Yang; Kyung-Jo Kim; Byong Duk Ye; Jeong-Sik Byeon; Seung-Jae Myung; Yong Sik Yoon; Chang Sik Yu; Jin-Ho Kim; Suk-Kyun Yang
Journal:  Intest Res       Date:  2016-06-27

5.  Anti-epileptic drug utilisation in paediatrics: a systematic review.

Authors:  Oluwaseun Egunsola; Imti Choonara; Helen M Sammons
Journal:  BMJ Paediatr Open       Date:  2017-08-11

6.  Accuracy and utility of using administrative healthcare databases to identify people with epilepsy: a protocol for a systematic review and meta-analysis.

Authors:  Gashirai K Mbizvo; Kyle Bennett; Colin R Simpson; Susan E Duncan; Richard F M Chin
Journal:  BMJ Open       Date:  2018-06-30       Impact factor: 2.692

7.  Using routinely recorded data in a UK RCT: a comparison to standard prospective data collection methods.

Authors:  G A Powell; L J Bonnett; C T Smith; D A Hughes; P R Williamson; A G Marson
Journal:  Trials       Date:  2021-07-05       Impact factor: 2.279

  7 in total

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