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  • 标题:Assessment of data quality in an international multi-centre randomised trial of coronary artery surgery
  • 本地全文:下载
  • 作者:Lukasz J Krzych ; Belinda Lees ; Fiona Nugara
  • 期刊名称:Trials
  • 印刷版ISSN:1745-6215
  • 电子版ISSN:1745-6215
  • 出版年度:2011
  • 卷号:12
  • 期号:1
  • 页码:212
  • DOI:10.1186/1745-6215-12-212
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:

    Background

    ART is a multi-centre randomised trial of cardiac surgery which provided a unique opportunity to evaluate the data from a large number of centres from a variety of countries. We attempted to assess data quality, including recruitment rates, timeliness and completeness of the data obtained from the centres in different socio-economic strata.

    Methods

    The analysis was based on the 2-page CRF completed at the 6 week follow-up. CRF pages were categorised into "clean" (no edit query) and "dirty" (any incomplete, inconsistent or illegible data). The timelines were assessed on the basis of the time interval from the visit and receipt of complete CRF. Data quality was defined as the number of data queries (in percent) and time delay (in days) between visit and receipt of correct data. Analyses were stratified according to the World Bank definitions into: "Developing" countries (Poland, Brazil and India) and "Developed" (Italy, UK, Austria and Australia).

    Results

    There were 18 centres in the "Developed" and 10 centres in the "Developing" countries. The rate of enrolment did not differ significantly by economic level ("Developing":4.1 persons/month, "Developed":3.7 persons/month). The time interval for the receipt of data was longer for "Developing" countries (median:37 days) compared to "Developed" ones (median:11 days) (p < 0.001). The median number of data queries was 23% in "Developed" countries compared to 19% in "Developing" ones (p = ns).

    Conclusions

    In this study we showed that data quality was comparable between centres from "Developed" and "Developing" countries. Data was received in a less timely fashion from Developing countries and appropriate systems should be instigated to minimize any delays. Close attention should be paid to the training of centres and to the central management of data quality.

    Trial registration

    ISRCTN46552265

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