The Minnesota Department of Health is focusing on ELR data quality as part of our project. Are any other groups also working on ELR, and do you have tips for monitoring data quality?
Sarah
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Tiffany Nicole Tsukuda
Hi Sarah,
We are not working on ELR data quality for our project, but below are some resources/info I have previously come across that are hopefully helpful:
At last year's CSTE conference, I attended 2 presentations on ELR validation and drop-off detection:
In CA, most of our LHDs (including our health dept) receive ELRs via the state's reportable disease information exchange (CalREDIE). Here is the CalREDIE ELR Quality Control Guide, which contains the general QA/QC process.
Attached is a pub from 2011 from Indiana that looked at developing a method for evaluating ELR data quality and completeness w/ findings from their analysis.
Thank you for these resources Tiffany, I'll look into them!
You're welcome!
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Alyssa Arey,Epidemiologist
Hi Sarah, Sorry for the delayed response to your initial post! We at Maryland HIV Surveillance are somewhat working on ELR data quality for our project, by monitoring the format, volume, and distribution of laboratory results that are being reported to us and generating laboratory "report cards" to evaluate each reporting facility. However, we are also doing a lot of ELR data quality work outside of our AITT project, and we wanted to comment to Tiffany's post above that we are using the SaTScan software to detect drop-offs in our ELR, which has been interesting and useful for us to explore. For HIV in particular, we have used the SaTScan software to detect drop-offs in total ELR volume reported by facility, as well as monitoring the volume of specific HIV laboratory test types being reported monthly. We also have a thorough QA process and monthly log, as well as an ELR QA team that meets weekly to monitor reporting and data quality issues. We'd be happy to share more information with you directly offline, if you are interested! Thanks, Alyssa
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Randi Hathaway
Hi Alyssa,
We would be interested in learning more about your approach using SaTScan and your overall ELR QA strategy as well.
Thanks,
Randi Rosack, TN Department of Health
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Ben Klekamp
I would like to here more about the approach using SaTScan as well. Regards, Ben Klekamp (VA)
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Gwendolyn Gallagher,Community Health Epidemiologist
I am interested, too. I have used SatScan in the past - for environmental health projects (to detect environmental contaminants across geographies). So, I'd like to see a different application and use of the software. Thanks!
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Wen Lin
I would also like to learn more about other applications of SatScan. Thank you!
Wen
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Veronica Hart,HIV Epidemiologist
Hi everyone,
Sorry for the delay in responding to your interest in the work the QA work that the Maryland HIV Surveillance team is doing. Regarding our general QA processes, Maryland has an Epidemiologist assigned to each lab/facility that sends reports to us. Each lab has a specific SAS program that was developed to put all records into a consistent format that can be uploaded to our surveillance system (eHARS). Each file is then reviewed by another epidemiologist before uploading. Information on each report, such as number of results in each report and received, QA and uploading dates, is added to a monthly log. This log allows us to keep track of what has been done, what needs to be done and keeps a record of any problems that need addressing. Our QA team meets every week to discuss any relevant topics or issues as they arise. All of our processes are described in a QA manual, which is updated regularly. We would be happy to share the QA manual offline if you were interested.
We have been working with SaTScan since New York City presented their work at CSTE last year. Tiffany included a link to that presentation above. Which was very helpful in establishing our usage of the software. Our utilization of SaTScan is essentially the same as NYC’s application. The integration of SaTScan and Tableau is to analyze the output of SaTScan easier. To do this we merged the input and output files before creating a dashboard that creates a timeline of ELR by facility and highlights the drop off period of ELR volume identified by SaTScan. This allows us to determine if follow up is necessary without investigating each facility by hand.
We are not working on ELR data quality for our project, but below are some resources/info I have previously come across that are hopefully helpful:
tiffany
Sorry for the delayed response to your initial post! We at Maryland HIV Surveillance are somewhat working on ELR data quality for our project, by monitoring the format, volume, and distribution of laboratory results that are being reported to us and generating laboratory "report cards" to evaluate each reporting facility. However, we are also doing a lot of ELR data quality work outside of our AITT project, and we wanted to comment to Tiffany's post above that we are using the SaTScan software to detect drop-offs in our ELR, which has been interesting and useful for us to explore. For HIV in particular, we have used the SaTScan software to detect drop-offs in total ELR volume reported by facility, as well as monitoring the volume of specific HIV laboratory test types being reported monthly. We also have a thorough QA process and monthly log, as well as an ELR QA team that meets weekly to monitor reporting and data quality issues. We'd be happy to share more information with you directly offline, if you are interested!
Thanks,
Alyssa
We would be interested in learning more about your approach using SaTScan and your overall ELR QA strategy as well.
Thanks,
Randi Rosack, TN Department of Health
Regards,
Ben Klekamp (VA)
Wen
Sorry for the delay in responding to your interest in the work the QA work that the Maryland HIV Surveillance team is doing. Regarding our general QA processes, Maryland has an Epidemiologist assigned to each lab/facility that sends reports to us. Each lab has a specific SAS program that was developed to put all records into a consistent format that can be uploaded to our surveillance system (eHARS). Each file is then reviewed by another epidemiologist before uploading. Information on each report, such as number of results in each report and received, QA and uploading dates, is added to a monthly log. This log allows us to keep track of what has been done, what needs to be done and keeps a record of any problems that need addressing. Our QA team meets every week to discuss any relevant topics or issues as they arise. All of our processes are described in a QA manual, which is updated regularly. We would be happy to share the QA manual offline if you were interested.
Thanks,
Veronica