Home
Australian Q Fever Register
Making the workplace safer for meat and livestock workers
Home
About Q Fever
About the Register
Download Area
FAQ
For GPs
Register Statistics
Find a vaccinator
Contacts
Privacy
Research
Links
Access Register
(password required)
 
Am I on the Register?
What's my Q Fever Number?
Find a person's status

Quality Assurance

Register Data Quality

Data 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.

Methodology

A 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.


Results

July 2002

Summary

Sample size: 871
Errors detected: 13
Estimated error rate: 1.49%
95% confidence interval: 0.83% - 2.61%

Analysis of errors

Data TypeErrorsComments
Personal Details
Middle Name2Minor typographical errors
Family Name2Minor typographical error
Address32 Minor typographical errors, 1 Street instead of Avenue
Consent to be contacted for research22 indicated that consent had not been given whereas in fact it had
Town1Incorrect town
Post Code1Incorrect post code
Job Type2Incorrect classification
Test Results0 
Vaccination0 

Conclusion

The 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 2003

Summary

Sample size: 500
Errors detected: 5
Estimated error rate: 1.0%
95% confidence interval: 0.37% - 2.46%

Analysis of errors

Data TypeErrorsComments
Personal Details
Middle Name1Middle name omitted
Address2Minor typographical errors
Town1Incorrect town
Job Type1Incorrect classification
Test Results0 
Vaccination0 

Conclusion

The 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 2003

Summary

Sample size: 500
Errors detected: 6
Estimated error rate: 1.2%
95% confidence interval: 0.49% - 2.73%

Analysis of errors

Data TypeErrorsComments
Personal Details
Date of Birth1Incorrect day of month
Town1Incorrect town
Test Results
Date of Test3Incorrect day of month
(error of less than 3 days)
Vaccination
Date of Vaccination1Incorrect day of month
(error of 1 day)

Conclusion

The 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 2003

Summary

Sample size: 500
Errors detected: 8
Estimated error rate: 1.6%
95% confidence interval: 0.75% - 3.26%

Analysis of errors

Data TypeErrorsComments
Personal Details
Job Type3Incorrect classification
Town1Specified suburb name instead of town name
Given Name1Minor typographical error
Street Address1Minor typographical error
Consent to be contacted1Mistakenly indicates consent was given
Test Results0 
Vaccination
Date of Vaccination1Incorrect year (error of 1 year)

Conclusion

The 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 2004

Summary

Sample size: 500
Errors detected: 6
Estimated error rate: 1.2%
95% confidence interval: 0.49% - 2.73%

Analysis of errors

Data TypeErrorsComments
Personal Details
Street Address4Minor typographical error
Test Results
Date of Test2Incorrect date (error of 1 week)
Vaccination0 

Conclusion

The 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 2005

Summary

Sample size: 500
Errors detected: 5
Estimated error rate: 1.00%
95% confidence interval: 0.37% - 2.46%

Analysis of errors

Data TypeErrorsComments
Personal Details
Job Type1Incorrect category chosen
Secret Question1Incorrect question chosen
Test Results
Date of Test3Incorrect date (error of 1 week)
Vaccination0 

Conclusion

Again, 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 2005

Summary

Sample size: 500
Errors detected: 4
Estimated error rate: 0.80%
95% confidence interval: 0.26% - 2.18%

Analysis of errors

Data TypeErrorsComments
Personal Details
Job Type2Incorrect category chosen
Address1Typographic error in street name
Test Results
Date of Test1Incorrect date (error of 1 week)
Vaccination0 

Conclusion

The 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 2006

Summary

Sample size: 500
Errors detected: 0
Estimated error rate: 0.00%
95% confidence interval: 0.0% - 0.95%

No Errors Detected

Conclusion

The absence of errors detected indicates a continuing high level of accuracy in the operation of the register.


July 2006

Summary

Sample size: 500
Errors detected: 13
Estimated error rate: 2.60%
95% confidence interval: 1.45% -4.52%

Analysis of errors

Data TypeErrorsComments
Personal Details
Job Type1Incorrect category chosen
Job Type1No category selected on form
Consent to be contacted2Incorrect consent data
Name1Missing middle name
Test Results
Date of Test3Incorrect date (error of < 1 week)
Date of Test1Incorrect date (error of > 1 week)
Vaccination
Vaccination Date2Missing date on form
Vaccination Date1Typo in date
Batch Number1Typo in batch number

Conclusion

This 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 2007

Summary

Sample size: 500
Errors detected: 8
Estimated error rate: 1.63%
95% confidence interval: 0.76% - 3.31%

Analysis of errors

Data TypeErrorsComments
Personal Details
Job Type3Incorrect category chosen
Name1Missing middle name
Date of Birth1Typographical error
Post Code1Typographical error
Secret Question1Incorrect question
Test Results
Type of Test1Incorrect test type

Conclusion

The 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 2007

Summary

Sample size: 500
Errors detected: 10
Estimated error rate: 2.00%
95% confidence interval: 1.02% - 3.77%

Analysis of errors

Data TypeErrorsComments
Personal Details
Job Type1Incorrect category chosen
Consent to be contacted2In one case, consent given but recorded as refused, in the other, consent refused but recorded as given
Date of Birth1Typographical error
Test Results
Date of Test2Error of 2 days and 1 week
Vaccination
Batch Number1Typographical error
Date of Vaccination3Errors of 2 days, 1 month and 3 months

Conclusion

The 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 2008

Summary

Sample size: 500
Errors detected: 4
Estimated error rate: 0.80%
95% confidence interval: 0.26% - 2.18%

Analysis of errors

Data TypeErrorsComments
Personal Details
Surname1Incorrect surname
Date of Birth1Typographical error
Test Results
Date of Test2Error of 1 week

Conclusion

The error rate is very low. The incorrect surname is important, and this is the first time this has been detected.

July 2008

Summary

Sample size: 500
Errors detected: 8
Estimated error rate: 1.64%
95% confidence interval: 0.76% - 3.33%

Analysis of errors

Data TypeErrorsComments
Personal Details
Town1Incorrect town
Surname1Typographical error
Address1Typographical error
Gender1Incorrect gender selected
Secret question2Typographical error and incorrect answer
Test Results
Date of Test1Error of 1 week
Vaccination
Date of Vaccination1Error of 5 days

Conclusion

The 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 2009

Summary

Sample size: 500
Errors detected: 2
Estimated error rate: 0.41%
95% confidence interval: 0.07% - 1.64%
Missing data items: 4

Analysis of errors

Data TypeErrorsComments
Personal Details
Missing data4Missing details (both on submitted form and in database) including postcode, job type and batch number
Test Results
Date of Test1Error of 4 days
Vaccination
Date of Vaccination1Error of 1 year

Conclusion

The 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.

June 2009

Summary

Sample size: 500
Errors detected: 9
Estimated error rate: 1.8%
95% confidence interval: 0.88% - 3.51%
Missing data items: 3

Analysis of errors

Data TypeErrorsComments
Personal Details
Names4Typographical errors in middle names
Address2Typographical errors in postcode
Consent1Incorrectly recorded as consent given to be contacted for research purposes
Job type1Incorrect classification
Vaccination
Batch number1Incorrect number

Conclusion

The error rate is once again in the expected range. No critical errors relating to the immune status of individuals were detected. It is worth noting that the register is now completely electronic, with paper forms immediately scanned for long-term storage and the original shredded. During this survey two items were unreadable due to poor quality scans. Scanning was originally contracted commercially, but is now being done by the register managers to ensure consistent high quality.

January 2010

Summary

Sample size: 500
Errors detected: 7
Estimated error rate: 1.4%
95% confidence interval: 0.61 - 2.99%
Missing data items: 3

Analysis of errors

Data TypeErrorsComments
Personal Details
Gender1Incorrect gender
Address4Two incorrect towns and incorrect postcodes (both for neighbouring towns)
Job type1Incorrect classification
Tests
Test date1Incorrect date (10 day difference)

Conclusion

No critical errors were detect and the error rate continues to be low.

Warning - Unable to Access the Register

Access to the Register requires Javascript. You currently do not have Javascript enabled in your browser. Click here for information on how to enable Javascript and the other requirements for the Register.


Home Contacts Help Access Register Download Area