Suppasit Srisaeng

I spot that we can clarify the “Sex” field by renaming it to “Sex at Birth” to avoid ambiguity about its preferred gender. Additionally, alongside the existing options for “Male” and “Female,” it would be beneficial to include a checkbox for “No data.”

I think it can facilitate comparability and meta-analysis. By standardizing data collection, coding, and storage practices across different studies and settings, researchers can more easily compare results and aggregate data. This comparability is crucial for conducting meta-analyses, where data from multiple studies are combined to draw broader…[Read more]

I conducted a stroke study querying data from a Health Data Center, which is implemented:

– Authentication and Access Control: Access to the data is secured through authenticated accounts. Each access and data query is logged with a timestamp, ensuring a comprehensive audit trail.
– Data Encryption: To protect sensitive information, such as Thai…[Read more]

Reflecting on my experience in data collection and management, I believe it would be better if I could improve on a data management plan and implement data quality control measures. Specifically, I would have emphasized developing a comprehensive Case Report Form (CRF) to ensure standardized data collection across all sources. Additionally,…[Read more]

I have experience with data collection for my HT-controlled and stroke outcome research:

– Purpose: I collected data for research purposes, specifically focusing on hypertension control and stroke outcomes.
Primary or secondary data: I gathered both primary and secondary data. Primary data was collected from patients, while secondary data was…[Read more]

Here’s mine 😀

Your guys works are wonderful 🙂

This remind my element school memory 😀

This is the command you should type by yourself. My comment above can’t type this (it may shown as a blank image).

For my colleagues, I guess the problem is your image doesn’t show up because you should type by yourself. If you copy, the “” may change to another symbol.

Here’s mine 😀
https://snipboard.io/dpzIgA.jpg

I hope this upload works.

I would discussion point 1 in page 340. I used to think the P value showed the chance that the null hypothesis (a default assumption that there’s no effect or difference) might be true just by random luck. For example, I believed a P value of 0.05 meant the null hypothesis could randomly happen 5% of the time. But, I got it wrong. What the P…[Read more]

4. Maternal Mortality Rate
Definition: The rate of death from any cause related to or aggravated by pregnancy or its management, excluding accidental or incidental causes, during pregnancy and childbirth or within a specified period of postpartum per XXX live births.

Calculation:
Maternal Mortality Rate
=(Number of maternal deaths / Number of…[Read more]

Hello everyone! My name’s Mumi. I’m a field epidemiologist and doctor working at Chonburi Hospital in Thailand. Sometimes, when outbreaks or public health issues occur, I collect data, describe to see insights, and use analytics to compare and find risk factors. I have learned some statistics from FETP Thailand and do some analysis to finish the j…[Read more]

Not seen you for a while Toby, hope you have a good day 😀

As both an epidemiologist and a clinical doctor, adhering to ethical principles and good practices is paramount in contributing to COVID-19 control policies. Key among these are:

– Equity and Fairness: Ensuring equitable access to testing, treatment, and vaccines, regardless of socioeconomic status, is crucial. This involves advocating for…[Read more]

In Thailand, the UHC scheme has made significant strides in ensuring healthcare availability, capacity, funding, and management. However, a notable weakness, from my experience, lies in the imbalance between primary prevention and tertiary care. The Department of Disease Control (DDC) allocates a disproportionately low budget—about 10-20%—to pri…[Read more]

I understand the complex challenges you’re facing in Myanmar regarding health informatics. Despite these difficulties, I believe there are simple, pioneering steps you can take to make a positive impact. One such step could be adopting free, open-source programs to transition from paper-based records to EHR in areas within your influence. This…[Read more]

It shocked me that a developed place like Hong Kong still faces a workforce shortage issue. I think we encounter the same problem in public health: limited resources and unlimited demand. One key selling point of Health Informatics is its ability to improve healthcare while reducing service costs. I hope that policymakers will recognize this core…[Read more]

I strongly believe in the importance of data sharing, especially regarding anonymized or encrypted datasets. Sharing such data can immensely benefit public health research and policy-making, allowing for a broader analysis and understanding of health trends and outcomes. This approach fosters collaboration and innovation in the field and ensures…[Read more]