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Quality AssuranceRegister Data QualityData on the Q fever Register is entered by users via the Internet. Many aspects of the data entry process are controlled by the system to prevent problems such as missing or inconsistent data, which are automatically detected. Further checks are performed when original documentation is received by the Register office and reconciled against the data entered by users on the system. Despite these measures, it is still possible for errors to find their way into the Register. Some errors are of little consequence, such as a small typographical error in the street name, while others are potentially very important, such as an incorrect test result. The Register therefore contains a mechanism which allows managers and users to estimate the proportion and nature of errors contained within the system. It is worth noting that virtually all databases, especially those generated through the input of many different people working in different circumstances, contain errors. The presence of small, relatively unimportant errors are unlikely to significantly impact the value of the system, while major errors may indicate that improved data entry systems are required. The purpose of the Quality Assurance component of the Register is to alert managers to problems if and when they occur, and to provide users with an objective measure of data quality, in order to ensure continuing confidence in the system. The database managers are not aware of any other similar databases that implement a routine, automated self evaluation mechanism with publication of the findings. MethodologyA random sample of data items (single pieces of data, such as first name, or date of test) is selected from all the data in the Register. These data items are identified only by a Register reference number. The Register manager is asked to re-enter specifically referenced data items from the original hard-copy documentation, without being shown the values stored in the Register. The differences between the data stored in the Register and that obtained from the original documentation are statistically analysed to estimate the rate of errors in the database. After the error rate is estimated, any errors detected are corrected. This analysis is repeated every 6 months to continuously monitor changes in data quality. ResultsJuly 2002SummarySample size: 871 Analysis of errors
ConclusionThe most important finding from this study is that no errors were detected in the critical data maintained by the Register - test results and vaccination records. Those errors that were detected were at a very low level (1.5%) and, as they were mainly minor typographical errors, were unlikely to have any impact on the operation of the Register. January 2003SummarySample size: 500 Analysis of errors
ConclusionThe findings of the second quality assurance survey indicate that there has been no increase in the Register error rate compared to the first survey, despite an increase in the number of users entering data. All errors detected were relatively minor, and, most importantly, there were no errors detected in the critical data maintained by the Register - test results and vaccination records. July 2003SummarySample size: 500 Analysis of errors
ConclusionThe findings of the third quality assurance survey indicate that the error rate is continuing at the same very low level of previous surveys. For the first time, errors were detected in data on vaccination and tests, however these errors all related to the date of the vaccination or test and the incorrect dates were all within a few days of the correct date. These errors therefore had no impact on the integrity of the sysem. December 2003SummarySample size: 500 Analysis of errors
ConclusionThe high level of data quality continues, as demonstrated by the fourth quality assurance survey. Only two errors of any significance were detected, one relating to consent to be contacted for future research, and one on the date of vaccination (where the incorrect year was provided, but the date was otherwise correct). As with all previous surveys, no errors affecting the Q fever status of any individual were detected. Based on the analysis of all surveys, this indicates that we may be more than 99% confident that the maximum possible status error rate in the Register is less than 0.2%. July 2004SummarySample size: 500 Analysis of errors
ConclusionThe only non-typographical errors detected in this round of the quality assurance survey related to the date of testing. In both cases, the date in the Register was one week later than the date on form, which is likely to be due to confusion between the date the skin test was administered and the date on which the results were read. These errors have no significant impact on the operation of the Register. January 2005SummarySample size: 500 Analysis of errors
ConclusionAgain, a number of small errors related to the date of testing were discovered which are likely to be due to confusion between the date the skin test was administered and the date on which the results were read. These errors have no significant impact on the operation of the Register. July 2005SummarySample size: 500 Analysis of errors
ConclusionThe error relating to the date of test is, has previously been noted, probably due to the difference between the date the test done (blood taken or skin test injection) and the date of the results (normally about a week later). Since the last QA survey, the Register record management system has moved from paper files to electronic storate of scanned files. This continuing low error rate demonstrates that this new system has not resulted in any change in data quality stored in the Register. January 2006SummarySample size: 500 No Errors DetectedConclusionThe absence of errors detected indicates a continuing high level of accuracy in the operation of the register. July 2006SummarySample size: 500 Analysis of errors
ConclusionThis is the highest number of errors found in any of the quality control surveys since the establishment of the register and the first time the estimated error rate has gone over 2%. Of the errors a number may be considered important, namely incorrect informaiton on consent to be contacted for further research (2 records), incorrect test date (by more than 1 week - 1 record), missing vaccination dates (2 records) and incorrect batch number (1 record). Further analysis is being undertaken to determine if these errors are associated with any particular data entry operator, in order to assess if further training is required. January 2007SummarySample size: 500 Analysis of errors
ConclusionThe error rate for this period has returned to the normal range. None of the errors detected were critical, although some could hamper identification of individuals. July 2007SummarySample size: 500 Analysis of errors
ConclusionThe error rate is within the normal range. The only critical error is the one case of consent not being give to be contacted for research purposes, but being recorded as given. The error rate for consent has been very low in the past. In practice, such errors have had no importance as there have been no requests during the life of the register to use the register for any research that would involve contacting individuals. January 2008SummarySample size: 500 Analysis of errors
ConclusionThe error rate is very low. The incorrect surname is important, and this is the first time this has been detected. July 2008SummarySample size: 500 Analysis of errors
ConclusionThe error rate continues to be in the acceptable range. As previously noted, errors of up to a week for the date of testing or of vaccination are relatively common and do not affect the operation of the register. This is the first time an error has been detected with the gender. January 2009SummarySample size: 500 Analysis of errors
ConclusionThe error rate is low. A number of items of missing data were detected in this round, indicating a low incidence of incomplete forms. The missing post code is unlikely to be important. The missing job type information will have a very minor impact on system statistics. Batch numbers are included for possible future follow-up in case of research or investigation. Thus far, in the life of the register, batch numbers have not been used.
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