PubMed Health⌕ Search

PubMed · 16054826

An attempt at data verification in the EACTS Congenital Database.

Abstract

OBJECTIVE: The multi-national and multi-institutional collection of data on outcomes in Congenital Heart Surgery (CHS) provides the possibility of analysis of results of treatment and may result in further improvement of the quality of care. The verification of data as far as the completeness and accuracy is necessary to give confidence to all sides--the patients, centers and regulatory authorities. The source data verification (SDV), although difficult, appears possible even in such a large-scale database. METHODS: Out of 5.274 patients and 5.612 procedures data of 2003, collected in the database, 1.703 (32.3%) and 1.895 (33.8%), respectively, have been verified at five sites on following fields: IPPV time, date of birth, date of admission, date of surgery, date of discharge/mortality, body weight, case category, CPB time, AoX time, Circulatory arrest time. SDV was performed at five sites by two database officers using the sources of information different to the local copy of the database (patients' files, operation notes, perfusion charts, OR Books). Verification was performed between June 1st and July 31st 2004. Statistical analysis was performed using R-project software, ver. 2.0.0. and Welch's t-test for comparison of continuous variables. P-value >0.05 was used as statistically significant difference between groups. RESULTS: Pre- and post-verification mortalities in all groups showed no significant differences although seven deaths out of 68 (10.27%) were missed. None of the other verified fields showed significant differences after verification. CONCLUSIONS: Source Data Verification showed no statistically significant differences between verified and non-verified data on 30 days mortality, LOS, age, body weight, CPB time, AoX and Circulatory arrest time. IPPV time was not available in 58.6% procedures.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bohdan Maruszewski, Francois Lacour-Gayet, James L Monro, Bruce E Keogh, Zdzislaw Tobota, Andrzej Kansy. 2005. An attempt at data verification in the EACTS Congenital Database.. https://doi.org/10.1016/j.ejcts.2005.03.051

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗