- This topic has 31 replies, 17 voices, and was last updated 2 years, 5 months ago by Anawat ratchatorn.
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2022-04-21 at 1:31 pm #35731SaranathKeymaster
Could you share your experience on data collection?
1.Purpose of data collection: For research, for public health surveillance, or others
2. Was it primary or secondary data collection?
3. Methods used for data collection
4. Were there any problems that occurred regarding data collection? -
2022-04-24 at 9:26 pm #35815Kansiri ApinantanakulParticipant
1. I’m working as a clinical research associate (CRA). My day job is related to data collection. The main purpose is definitely for clinical research in the various therapeutic areas.
2. Mostly my work is primary data collection. I collaborated with study site staff to ensure their data entry in eCRF is complete and accurate. The data were obtained from participants who participated in the clinical trial. Each study visit conducted would have a specific eCRF form. However, I also have experience in secondary data collection. It was an observational clinical study collecting the data from the medical records.
3. Typically a clinical trial I have experienced, The case report form is in electronic version (eCRF). The authorized staff can access this eCRF via a web portal.
4. Due to the nature of the web portal, I and study site staff usually encounter server downtime and some bugs in the user interface.-
2022-04-28 at 11:50 am #35898SaranathKeymaster
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.
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2022-04-30 at 3:35 pm #35972Kansiri ApinantanakulParticipant
Thank you!
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2022-04-27 at 9:54 pm #35881Yanin PittayasathornthunParticipant
1) I don’t have experience in any clinical data. I always do basic research in a laboratory. Currently, most of my data are from images of the bacteria infecting cell line. The purpose is for research.
2) Primary data collection.
3) Method: I put the bacteria into a cell culture, incubate them for certain time point, fix and stain the cells and bacteria, image in high-throughput manner and analyse the data.
4) Some time the microscope was out of order. Some time because of new method for staining the samples, I had to optimise the method. Some time because the time point was too long and the cells were overgrown and became multi-layers. Some time the cell culture was treated with some reagent and it could not survive. -
2022-04-28 at 1:59 pm #35912Navin PrasaiParticipant
In my previous work, I collected the primary data by observations in the hospital for research purposes. The research was about the electrolyte balance and we used to visit the patients regularly for the observation in the electrolyte balance and data collection. As the visit used to be more frequent it was more time-consuming.
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2022-04-28 at 4:24 pm #35933Karina Dian LestariParticipant
In the research project I am currently working on, I am collecting data on mobile and migrant populations and malaria incidence in each district across Indonesia. It was a primary data collection, collected through an online survey platform and utilizing questionnaire instrument. It was a census since all the health officers in the districts are participating to fill in the questionnaire. The data collection is quite challenging since there are many questions asked in the questionnaire. There was also a technical difficulty because of the need for internet connection.
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2022-05-03 at 6:13 am #36005SaranathKeymaster
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.
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2022-05-01 at 2:54 pm #35976Weerada TrongtranonthParticipant
I collected data for a clinical research when I was a medical student by using secondary data from medical records(paper-based) and filled required information into excel sheet for analysis. For me, the important problems of collecting clinical data are incomplete information and unstructured data.
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2022-05-03 at 6:15 am #36006SaranathKeymaster
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.
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2022-05-04 at 8:49 pm #36048Arwin Jerome Manalo OndaParticipant
I agree that missing data inputs is a challenge on reporting and analysis. In published literature, missing data can be flagged for risk of bias.
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2022-05-06 at 9:12 pm #36157Napisa Freya SawamiphakParticipant
I also have a similar experience using excel form to collect the secondary data. Unstructured data and missing data are a huge concerns.
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2022-05-25 at 4:53 pm #36402Anawat ratchatornParticipant
Totally agree. Unstructured data make it’s very difficult to analyse data.
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2022-05-01 at 4:12 pm #35977Hoang Thuy LinhParticipant
1.Purpose of data collection: For research, for public health surveillance, or others
I would like to apply data collection for research in infectious disease
2. Was it primary or secondary data collection?
the primary data collection is very important but in Viet Nam, It’s very hard to have the correct primary data collection because we lacked of data collection strategies
3. Methods used for data collection
document data collection
4. Were there any problems that occurred regarding data collection?
Lacking of data collection strategies was the popular issue in Viet Nam, when we collect the past data, it was very hard for analysis and conclusion of the research. -
2022-05-03 at 6:18 am #36007SaranathKeymaster
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.
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2022-05-04 at 8:47 pm #36047Arwin Jerome Manalo OndaParticipant
When I was still in the our health department, I was assigned to investigate the effectiveness of high flow nasal cannula for COVID-19. The primary purpose of the review is to see whether if it is worth funding by the national health insurance agency considering the uncertainties brought by COVID-19.
One of the sections of the review is to gather around the experience of front liners who had first hand experience on the technology – meaning, primary data collection was required. We prepared a standard set of questions and an informed consent on the purpose of the interview, how their answers will be used in the generation of the report. We invited experts from different societies and hospitals and gathered information through focus group discussion.
After the data collection, here were some of the problems we encountered:
1. Difficulty in transcribing some medical jargons used by doctors and respiratory therapists.
2. Some experts have contradictory opinions and became difficult to reconcile during writing.
3. As we also sent a questionnaire, some experts who weren’t able to attend the focus group discussion opted to send a filled, written questionnaire. They weren’t able to answer some parameters; hence, there were missing data inputs.-
2022-05-06 at 5:41 am #36116SaranathKeymaster
Thanks for sharing! Qualitative data collection is even harder to transcribe and analyze than quantitative data collection, but somehow it can give you an in-depth information that just a questionnaire may not be able to provide.
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2022-05-06 at 5:41 am #36117SaranathKeymaster
Thanks for sharing! Qualitative data collection is even harder to transcribe and analyze than quantitative data collection, but somehow it can give you an in-depth information that just a questionnaire may not be able to provide.
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2022-05-06 at 1:17 pm #36152Andrew HallParticipant
I find the analysis of qualitative data interesting in the context of data science, where often analysts will use algorithms to analyze quantitative data in order to make predictions. Integrating qualitative data into data science and machine learning is something I’m interested in learning more about. Perhaps sentiment analysis using natural language processing is the closest use case.
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2022-05-05 at 6:35 am #36049Andrew HallParticipant
1. In my last role, I worked as a development operations engineer (systems administration with cloud computing) for a software startup that produced a content management system. One of my duties was to investigate the root cause of automated error alerts we received so we could troubleshoot the error. Every time a user visits a website, the web server logs a record of that visit or HTTP request. Each HTTP request has a response code. I investigated negative response codes and other variables within the server logs to see what requests errored and diagnose the issue with the attached error message.
2. I queried secondary data in a database of server logs. Servers automatically log each request and a team of technicians funneled the logs into a searchable database.
3. My primary means of data collection was searching for data with detailed queries in the server log database. The search terms in the queries were variables relevant to the time period, website, and error I searched for each case.
4. The most significant problem for data collection was the sheer size of the collection of server logs. Querying the database was a slow process because the data load was so large and our underlying database resources were ineffective for a data load of that size. We were able to make some improvements to the speed of the database over time. -
2022-05-06 at 7:09 pm #36154Thin Wut YeeParticipant
1.Purpose of data collection: I’ve been working in several humanitarian organizations since 2009 as data officer/data manager/data analyst related work, and currently working as data officer at one INGO focus on HIV prevention and care and treatment. So the purposes are varies due to the different mandate of the organizations, but mainly are to collect demographic and need assessment for internally displaced persons/stateless people or people affected from armed conflicts and disasters, or HIV prevention and care and treatment related data to reduce risk or to give proper assistance or to document the violent towards civilian.
2. Was it primary or secondary data collection? Most of them are primary data but sometimes I need to check from other secondary data sources to check and compared with main data collection.
3. Methods used for data collection : paper based questionnaires, electronic data collection tool such as ODK, putting data directly into website
4. Were there any problems that occurred regarding data collection? Main problem is related to the interviewer/ data collector. Sometimes it is difficult to make understand for them what data we would like to capture and the purpose. -
2022-05-06 at 9:04 pm #36155Tossapol PrapassaroParticipant
1. My experience with data collection is mainly about the research and data registry project. It had been 2 years since my department try to establish the data registry for specific disease, chronic limb-threatening ischemia.
2. The process of collecting data is from primary and secondary data sources because I have to collect data in the past and also collect data from the new patient as well.
3. For the methods used for data collection, I use mainly paper-based. Recently I try to create an electronic database that is still in the development process.
4. There are some problems during the process of data collection. First, the protocol is still not consolidated, many investigators had different opinions about what is the important data to collect. Secondly, the completion of collected data because we didn’t have the assigned data manager so the data will be collected by the investigator individually. Lastly, the problems of the data collecting method because we are making the change from paper-based to electronic data records which is still the problem.
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2022-05-06 at 9:10 pm #36156Napisa Freya SawamiphakParticipant
1. Purpose of data collection: For research, for public health surveillance, or others
I collected data for my research project when I was in the last year of my pharmacy program
2. Was it primary or secondary data collection?
It is the secondary data collection from existing data in the published papers
3. Methods used for data collection
I used the excel form for data extraction and collection
4. Were there any problems that occurred regarding data collection?
As it is secondary data and sometimes the data are diverse across papers/research questions. Therefore, there are several unstructured data and the data type/variables are different. I needed to clean the data and group the data several times. -
2022-05-06 at 11:24 pm #36160Ashaya.iParticipant
I collected the data for my research project during my bachelor degree. Primary and secondary data were collected by creating a questionnaire (paper-based) and collecting data from hospital information system. Some problems that occurred from data collection, for primary data, it is about gathering the questionnaire and missing of some data. For secondary data, the existing data may not match well with the objective of the study so we need to gather and identify it carefully.
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2022-05-08 at 3:06 pm #36194Sri Budi FajariyanParticipant
I work in the malaria program, specifically the monitoring and evaluation division. In my experience collecting data for surveillance, I created a form to collect secondary and primary data in health services in the form of routine data on malaria patients. methods for collecting data, namely administered interviews and collecting laboratory data. problems that arise in data collection are inaccurate data, for example over 100 years of age, inconsistent data such as men but pregnant.
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2022-05-10 at 9:05 am #36245SaranathKeymaster
Thank you everyone for sharing your experience. I could summarize the problems that you have faced as.
1. Data quality: unstructured data, incomplete data, inaccurate/inconsistent data.
2. Data collection method: Paper-based, interviewer, electronic (server downtime).
3. Protocol: unconsolidated protocol, questionnaire development. -
2022-05-11 at 3:51 pm #36265Pawdoo PaoprapatParticipant
I have experience, indirectly, in handling/sorting secondary data collection/processing of safety reports on the Susar Line Listing for some certain drug compounds, submitted to EC.
1. Purpose of data collection : safety reports are collected from SAEs occurred during the trials are grouped and summarized as Susar Line Listing to be reported to the authorities (i.e. EC, TFDA)
2. It was secondary data collection
3. Methods used for data collection : Safety reports are collected from SAEs occurred during the trials from the participating sites globally. The safety reports then are then gathered and converted into Susar Line Listing which is submitted to local EC. However, the prior to the EC submission the safety reports on the line listing must be categorized and summarized to the 10 of the most frequent adverse event cases.
4. Any problems occurred : because of lacking of technical knowledge, it takes time to sort out and categorized the cases to specific events. -
2022-05-25 at 4:59 pm #36403Anawat ratchatornParticipant
1.I collected the data of pathology reports and have to do a primary analysis and cleaning the data for the purpose of building the AI to analyse further pathology slide.
2. It was a secondary data from a information system used in the pathology department.
3. It was in electronics form and I tried to transform it into table and also tried to structurize it.
4. The most challenging problem is about missing data and unstructured data. Since the data was collected during 10 years ago and came from many pathologists without standard form.
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