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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

Actual versus proposed study timeline.
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Related In: Results  -  Collection

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Figure 3: Actual versus proposed study timeline.

Mentions: These efficiencies resulted in a substantial reduction in the time needed for data management. The cumulative effect was almost four months in reduced data collection time compared to the original project schedule and almost 12 months reduction in time to manuscript preparation (Figure 3). Using the third project year salaries and time allocations, we calculated the dollar savings at each of our six data collection sites as the sum of two components: (1) 25% of budgeted project manager time for four months, and (2) budgeted medical record abstractor time for four months. With an additional 50% savings of budgeted data analyst time for four months at the Boston Medical Center, a savings of $72,000 in total from reduced data collection costs across the six sites was estimated.


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)

Actual versus proposed study timeline.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 3: Actual versus proposed study timeline.
Mentions: These efficiencies resulted in a substantial reduction in the time needed for data management. The cumulative effect was almost four months in reduced data collection time compared to the original project schedule and almost 12 months reduction in time to manuscript preparation (Figure 3). Using the third project year salaries and time allocations, we calculated the dollar savings at each of our six data collection sites as the sum of two components: (1) 25% of budgeted project manager time for four months, and (2) budgeted medical record abstractor time for four months. With an additional 50% savings of budgeted data analyst time for four months at the Boston Medical Center, a savings of $72,000 in total from reduced data collection costs across the six sites was estimated.

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