Napisa Freya Sawamiphak

That’s interesting, Karina. I agree with you. I was struggling with the code/data management as well. I was involved in project implementation and found that a proper data management plan ahead is crucial for implementing the project and collecting the data smoothly.

I worked as a pharmacovigilance specialist before dealing with adverse events and pharmacovigilance data systems. I am most involved in project implementation and closer parts, such as data entry, QC, data structure, study report, and SAE reconciliation. I do not have experience in project initiation, especially for CRF, DMP, and database setup…[Read more]

I also have a similar experience using excel form to collect the secondary data. Unstructured data and missing data are a huge concerns.

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…[Read more]

Please see my wrap-up here. https://drive.google.com/file/d/135ALLhQlpHBaDtTRR01RToi5exHqIZXW/view?usp=sharing
Thank you

Please find my wrap up here https://drive.google.com/file/d/1XGD0cKry2xph0Zv_R_Y8ZmC_XZt8962L/view?usp=sharing

Thank you

Please find my summary here: https://drive.google.com/file/d/1zFPsR5VQdGOCUWX0sazuS6IXLfSweT5C/view?usp=sharing
Thank you.

Hello. please find my warp-up attached.
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I would say that I am more familiar with Frequentist than Bayesian because I’ve learned it before, and it was used in several clinical data and publications. I also heard about Bayesian from epidemiological research which is interesting to me. However, I haven’t used it myself. It seems like the probability is assigned ahead to a hypothesis in the…[Read more]

My name is Napisa Freya Sawamiphak. I am currently working as a Medical Science Liaison in a pharmaceutical company. I have been involved in several medical research and medical information. I read new articles every day and use this information for training and scientific communication. In my work, I don’t analyze the data by myself but use the…[Read more]

Combination of information that can identify me;
Gender: Female
Workplace: Janssen, Bangkok
Job position: Medical Science Liaison – Neuroscience

(I am the only MSL in neuroscience who based in Thailand)

I think new technology should be more useful, easier to use, and have advantages over the old technology in some ways such as affordable, practical to the actual practice, higher precision, better capacity to detect small specimens, or personalized treatment – highly effective with low adverse event occurrence.

Factors related to learning ability, experience, attitude toward use, frequency of new tech use might influence perceived ease of use and usefulness.

For example,
1) Elderly may feel challenged to learn new things and have low frequency using systems, 2) socioeconomic – people with low income may not have an appropriate device/facility to…[Read more]

As we are curious about the reason why are not using bednets, I think it is better to perform additional qualitative research/data collection, perhaps by conducting a focus group interview. After gathering insights and understanding their perspectives, we can also conduct quantitative research later to analyze patterns, predict trends/averages,…[Read more]

Efficacy refers to a particular intervention’s ability to perform in controlled settings. Effectiveness is the capacity of an intervention to have a significant impact on patients in real-life conditions. Efficiency is assessing the intervention in a cost-effective way.

I think the younger people have a better acceptance of adopting new technology. Also, younger people usually spend more time surfing the internet, website, and social media. They may get to know the contract tracing application from those platforms easier and start using it.

Mortality rate is the ratio of death events in a particular population during a specific time period. The rate was usually calculated per 1000 or 100,000 individuals.

Calculation: Mortality Rate = (number of deaths during a given time interval) / (total population in that interval) x (expressed unit – usually use per 1000 – 100,000…[Read more]

Auswin covered the important point of Thailand’s Universal Health Coverage (UHC) already and I agree with that.
Thai UHC covers treatment costs within the public hospitals and one person/patient is required to pay only 30 Baht for all treatment, the hospital will manage the rest using fixed funding from the government.

In my opinion, the s…[Read more]

I have the opportunity to work on the medical information system related to the COVID-19 vaccine. Therefore, I would say I supported the COVID-19 best practices by providing scientific data rather than providing direct healthcare. I think my role meets the ethics principle on beneficence and non-maleficence because we provided clear, correct, and…[Read more]

I agree with Auswin and Ashara that Health informatics is still new in Thailand; therefore, several organizations didn’t understand the roles and responsibilities of health informatics workforce clearly. Although the accessibility of health IT systems is a gap and it is not fully adopted in some hospitals/areas, the shortage of health informatics…[Read more]