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Automated inter-rater reliability assessment and electronic data collection in a multi-center breast cancer study.

Thwin SS, Clough-Gorr KM, McCarty MC, Lash TL, Alford SH, Buist DS, Enger SM, Field TS, Frost F, Wei F, Silliman RA - BMC Med Res Methodol (2007)

Bottom Line: There remains a need to examine potential benefits, efficiencies, and innovations associated with an EDC system in a multi-center medical record review study.Automation of EDC accelerated the flow of study information and resulted in an efficient data collection process.Data collection time was reduced by approximately four months compared to the project schedule and funded time available for manuscript preparation increased by 12 months.

View Article: PubMed Central - HTML - PubMed

Affiliation: Geriatrics Section, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA. sst@bu.edu

ABSTRACT

Background: The choice between paper data collection methods and electronic data collection (EDC) methods has become a key question for clinical researchers. There remains a need to examine potential benefits, efficiencies, and innovations associated with an EDC system in a multi-center medical record review study.

Methods: A computer-based automated menu-driven system with 658 data fields was developed for a cohort study of women aged 65 years or older, diagnosed with invasive histologically confirmed primary breast cancer (N = 1859), at 6 Cancer Research Network sites. Medical record review with direct data entry into the EDC system was implemented. An inter-rater and intra-rater reliability (IRR) system was developed using a modified version of the EDC.

Results: Automation of EDC accelerated the flow of study information and resulted in an efficient data collection process. Data collection time was reduced by approximately four months compared to the project schedule and funded time available for manuscript preparation increased by 12 months. In addition, an innovative modified version of the EDC permitted an automated evaluation of inter-rater and intra-rater reliability across six data collection sites.

Conclusion: Automated EDC is a powerful tool for research efficiency and innovation, especially when multiple data collection sites are involved.

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Related in: MedlinePlus

Example of inter-rater reliability comparison report.
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Figure 2: Example of inter-rater reliability comparison report.

Mentions: We developed the IRR system directly from the EDC system within a 2-month period. Programming time necessary for development of the IRR system was reduced substantially by the fact that all data structures in the IRR system were derived from the original EDC system. Additionally, the menu-driven format of the IRR system, which was based on the EDC system, was familiar to the abstractors and therefore easy and quick to implement with no further training. Figure 2 displays an example of an IRR report. All discrepancies in the reports were adjudicated at the sites. We were able to identify from the IRR summary table, as shown in Table 1, the possible inconsistency in the abstraction of last known date of hormonal therapy. This inconsistency prompted us to verify our data against electronically available pharmacy data; the agreement was over 83%.


Automated inter-rater reliability assessment and electronic data collection in a multi-center breast cancer study.

Thwin SS, Clough-Gorr KM, McCarty MC, Lash TL, Alford SH, Buist DS, Enger SM, Field TS, Frost F, Wei F, Silliman RA - BMC Med Res Methodol (2007)

Example of inter-rater reliability comparison report.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC1919388&req=5

Figure 2: Example of inter-rater reliability comparison report.
Mentions: We developed the IRR system directly from the EDC system within a 2-month period. Programming time necessary for development of the IRR system was reduced substantially by the fact that all data structures in the IRR system were derived from the original EDC system. Additionally, the menu-driven format of the IRR system, which was based on the EDC system, was familiar to the abstractors and therefore easy and quick to implement with no further training. Figure 2 displays an example of an IRR report. All discrepancies in the reports were adjudicated at the sites. We were able to identify from the IRR summary table, as shown in Table 1, the possible inconsistency in the abstraction of last known date of hormonal therapy. This inconsistency prompted us to verify our data against electronically available pharmacy data; the agreement was over 83%.

Bottom Line: There remains a need to examine potential benefits, efficiencies, and innovations associated with an EDC system in a multi-center medical record review study.Automation of EDC accelerated the flow of study information and resulted in an efficient data collection process.Data collection time was reduced by approximately four months compared to the project schedule and funded time available for manuscript preparation increased by 12 months.

View Article: PubMed Central - HTML - PubMed

Affiliation: Geriatrics Section, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA. sst@bu.edu

ABSTRACT

Background: The choice between paper data collection methods and electronic data collection (EDC) methods has become a key question for clinical researchers. There remains a need to examine potential benefits, efficiencies, and innovations associated with an EDC system in a multi-center medical record review study.

Methods: A computer-based automated menu-driven system with 658 data fields was developed for a cohort study of women aged 65 years or older, diagnosed with invasive histologically confirmed primary breast cancer (N = 1859), at 6 Cancer Research Network sites. Medical record review with direct data entry into the EDC system was implemented. An inter-rater and intra-rater reliability (IRR) system was developed using a modified version of the EDC.

Results: Automation of EDC accelerated the flow of study information and resulted in an efficient data collection process. Data collection time was reduced by approximately four months compared to the project schedule and funded time available for manuscript preparation increased by 12 months. In addition, an innovative modified version of the EDC permitted an automated evaluation of inter-rater and intra-rater reliability across six data collection sites.

Conclusion: Automated EDC is a powerful tool for research efficiency and innovation, especially when multiple data collection sites are involved.

Show MeSH
Related in: MedlinePlus