Saranath

I agree that primary data collection can give you more valid and complete data, but you need a good data collection strategy and tools. It also takes time and budgets. For secondary data collection, you may face with incomplete data as per your friend’s suggestion.

Yes, incomplete and unstructured data is the main painful part for secondary data collection. Although, many hospitals have claimed that they use HIS, but many parts of data are still in scanning forms (images), which is still difficult to extract.

That seems quite a lot of work. Collecting data via mobile is one of electronic data capture type, it would save time for data entry. But sometimes, it might be difficult for data cleaning when errors occur. You may also consider having an offline option in your mobile data collection program. it would be useful when the internet connection is not good.

Do you think that the data collection tool that you are using is helpful for your data collection process?

Great! Thanks for sharing. I think data management concepts could be applied to any field of research and activities. Great to here that you can apply what we learn to your current research work. Backing up data is very important.

It would be good for a CRA to know data management process. Sometimes, the CRA can suggest the revision that may need for the CRF to improve data input and data quality assurance. 🙂

Laboratory research also involves data collection. I hope that data management concept that you learn from this course would be helpful for your work.

Thanks for sharing! You should be familiar with data collection and management process in clinical study. Hope this course would be helpful for your work.

Great! Looking forward to seeing other student’s work.

Thanks everyone! Really appreciate your summary and creativity!

Great work, everyone!

Thanks for your nice presentation. I like your case definition that includes the three aspects, time-place-person. However, I agreed with Chanapong about the misdiagnosis issue. Also, allow both hospital and village health volunteer to send a report, you should have a good system to detect duplicated data report. I also like your thorough thought…[Read more]

Thanks for sharing. I agreed with your friend’s suggestions. Particularly, a pilot testing for selected 2-3 disease of interest before launching the full scale system would be helpful.

Very nice presentation. I link your graphics in the slides, helpful and attractive. I was just wondering whether we should start collecting data on patients who prone to get diabetic foot (but not yet having it). So that we can early detect and prevent the disease.

Nice presentation, very interesting and informative. CKD is an important disease that sometimes get ignored. I like your hand-drawing data work flow! However, if the system only detect cases from passive surveillance, you may miss people with early stage CKD which sometimes cannot be detected if the annual check-up is not performed. Well done!

Thank for your comprehensive presentation. I think the additional surveillance system for Cholera post disaster situation is very important. I like your data flow and your proposed data collection methods using mobile app and website. However, during the disaster, there might be electrical or internet cut-down. You may need to think about plan-B…[Read more]

Yes, you spoke very fast (just realized that you increase the playback speed). I like your slide presentation and of course their contents. I also like that you mentioned that the type of surveillance system might be changed depending on situations. Great work!

Thanks for your nice presentation. I agree with Navin that your presentation covers all important aspects of a surveillance system. I like the idea of automated blood pressure monitoring.

Great! If you have a chance to make or write a speech for public response to an outbreak, please follow these guidelines!

Thanks everyone for your thoughts. Inaccurate data in a reporting system could have a large impact on the surveillance activities and outcomes. However, we will not be able to recognize this error until we conduct an evaluation.