In:
Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 30, No. 15_suppl ( 2012-05-20), p. e19647-e19647
Abstract:
e19647 Background: In clinical trials, delayed and disorganized data reporting due to traditional toxicity symptom monitoring methods, paper documentation and out-dated collection systems lead to inaccuracies of critical study information and inefficiencies in the process. Electronic systems offer an opportunity to collect this information in real-time from various sources. The feasibility of such an approach is unknown. Methods: We created a computer software system to collect PROs of symptomatic toxicities, automated RECIST-based tumor response, and lab data, and made this information available to investigators in real-time at the point of care during a phase II lung cancer trial. We assessed data completeness within 48hrs of each visit. Clinician satisfaction was measured. Results: We enrolled 44 patients from 1/23/09 to 09/20/11. There were a total of 725 visits, with mean and median being 13 (range, 1-64) and 10, respectively. At each visit, patients completed self-reports using a dedicated wireless laptop 99.6% of the time; only 3 reports were not completed due to lack of a laptop or technical issues with the institutional Intranet. All PROs were completely distributed in batch throughout the system within 24hrs of the visit, and similarly lab data were available for review with a mean of 26hrs from the time the laboratory received the specimen. Manual attribution to lab toxicities in the system took a median of 1 day. Automated RECIST tumor measurements were available to clinicians online with a median of 2 days from the time of imaging; only 8% obtained 〉 7 days after scans were performed. Throughout the trial, there was improvement in data acquisition times (i.e., a “learning curve”). 89% (16/18) of clinicians and research study assistants felt there was greater accuracy in collection of PROs, radiographic responses and trial data. Conclusions: Existing data management systems can be harnessed to enable real-time collection and review of clinical information during trials. This approach facilitates reporting of information closer to the time of events and may improve accuracy and efficiency, as well as ability to make earlier clinical decisions.
Type of Medium:
Online Resource
ISSN:
0732-183X
,
1527-7755
DOI:
10.1200/jco.2012.30.15_suppl.e19647
Language:
English
Publisher:
American Society of Clinical Oncology (ASCO)
Publication Date:
2012
detail.hit.zdb_id:
2005181-5
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