Karina Dian Lestari

I would develop a well-written data management plan, particularly for metadata documentation. I am currently a bit struggling to code the questions and answers for analysis purposes because I did not plan and create the metadata beforehand.

Hi all,
kindly follow link for my warp up. Thank you for the fruitful discussion these past four weeks!

https://prnt.sc/axFnR0qCzAH8

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…[Read more]

Hi all, kindly follow this link for my wrap up. Thank you

https://drive.google.com/file/d/1VIa3_xYl0tGes_I0Qz42okwx2_XZP9Nu/view?usp=sharing

Kindly see this link for this week wrap up from me. Thank you very much for the fruitful discussion.

https://drive.google.com/file/d/1fYqWKpaZFmX5dpPpTBAUyb7uIzxBw_3x/view?usp=sharing

In the discussion about AI and Ethics in Health webinar, we discuss the risk and benefits of using AI and whether it is justified for doing so. In the example of using AI from the CT-Scan data to diagnose COVID-19 in China, it is justifiable to do so because in the era of the pandemic, the target is to diagnose as soon as possible to stop the…[Read more]

I am much more familiar with frequentist methods because it is what has been thought in my undergrad study. I have tried to understand the Bayesian method but having a hard time because I am just too used to the frequentist method. The biggest difference between the frequentist and Bayesian methods is that for Bayesian you need a prior knowledge…[Read more]

Hi all, my name is Karina. I have a bachelor’s degree in Statistics and now I am working as a Statistician for EOCRU. We have a close collaboration with the National Malaria Control Program and one of our current projects aims to describe malaria in mobile and migrant populations. In my daily work, I mostly use descriptive statistics using tables,…[Read more]

Combination of information that could identify me is:
Sex, age, nationality, address, workplace.

One of the methods to help us understand the reluctance of using bednets is by doing in-depth interview. The participants of the study would be respondents that are not using bednets. The answer from in-depth interview will be helpful to know their opinions about bednets and the reason why they do not use it. This also can give suggestions for…[Read more]

According to the scale items for perceived of usefulness, the new technology should be at least as useful as the old technology with some improvements that can help them in doing their work.

Some of the possible external variables for new technology are:
– Age, it is relatively harder to teach older people about new technology
– Income status, wealthier people are exposed to new technology sooner
– Environment/peer influence, relates to whether people around them using and recommending this new technology

1. Efficacy: the capacity to have the desired result of a given intervention under a controlled environment

2. Effectiveness: how well that given intervention works in normal condition

3. Efficiency: whether the given intervention is the most economical option (in terms of time, energy, money) to do

My workplace has enforced some strict practices to help control COVID-19 cases:
• Working from home is mandatory, unless the work needs to be carried out specifically at laboratories
• Minimised face-to-face meeting and utilise the online platform to meet virtually
• Mask is required, N95 or doubled mask
• Eating together is prohibi…[Read more]

I think most of the complaints of BPJS users in Indonesia is a long wait time for treatment. There is also a sentiment that you are not treated well if you use BPJS, while that is not true. The problem is the healthcare personnel and facilities are limited and not distributed equally across the country. Improvement of service by increasing the…[Read more]

I am agreeing with Fajar’s answers here. I think the most challenging issue for health informatics in Indonesia is data integration and interoperability. There are many data collected for different databases but there is no way to integrate between the data. While there is a rising awareness about the importance of health informatics, the number o…[Read more]

Yes, because data sharing has many benefits for the community in the long run. Most notably, data sharing provides benefits in public health research. The data that has been collected by one organisation can be used by others. This is especially advantageous if the data collection cannot be replicated. It also can help to increase transparency and…[Read more]

One possible confounder for this association is the different physical health between younger people and the elderly. The Elderly is more likely to have physical health complaints, such as muscle aches while younger people do not.

Case-fatality rate

• Definition:
The proportion of people who die from disease among all individuals who also got the disease over a certain period.

• Calculation:
CFR in % = Number of people die from the disease / Number of confirmed cases of the disease x 100

• Usefulness:
CFR is used as a measure for disease severity. The number of CFR m…[Read more]

I agree with Auswin’s answer to the pros and cons of EMR. I think the most concerning issue is confidentiality. Since it is online and easier to access, data security needs to be strengthened to prevent data breaches and leaks that can hurt patients’ privacy.