Khaing Zin Zin Htwe

Provided that these information about me were revealed, I would easily be identified:
bachelor degree graduated year, my designation and name of the organization I am working at because I’m the only one from my graduation batch who is working in the M&E department of my current organization.

Without a doubt, the new technology must be better than the old technology in at least one dimension (e.g., usefulness). However, it is the users who actually use the technology and their attitudes are the most important in the TAM. So, proper change management is necessary in this kind of situation.

To answer the reason of not using bednets, I’d use qualitative method: in-depth interviews with key informants and informants until data saturation is achieved. The interview questions might be semi-structured because it requires less experienced interviewer than unstructured ones while there is room for flexibility.

Some specific external variables, in my opinion, are:
– sense of urgency: one who accepts it is the high time to accept the new technology might adopt it faster than the others regardless of other factors such as user-friendliness
– peer pressure
– presence or absence of the feedback and support system.

Efficacy: Benefits and risks of an intervention under ideal conditions.
Effectiveness: Benefits and risks of an intervention under real world situations.
Efficiency: Benefits and risks of an intervention achieved with the least possible cost.

Population density might be a confounder here. Since more young adults reside in the urban area with more population than other age groups because of the presence of university, work, recreation places, etc., more contact patterns might be detected than those age groups who live in the loosely populated areas.

Age-specific mortality rate

Definition
It is a measure of number of deaths in a particular population of a specific age during a particular time period.

Calculation
The numerator is the number of deaths in a specific age group during a particular time period. The denominator is the number of persons in that population of specific age during that…[Read more]

No. 10, page 342
“If you reject the test hypothesis because P</= 0.05, the chance you are in error is 5%.”

P </= 0.05 does not mean that the chance you are in error for rejecting the test hypothesis, which is actually true, is 5%. It means that you will reject it and be in error for 5 times if you apply the test across 100 different studies.

The…[Read more]

I work as a monitoring and evaluation officer at an DR-TB project. My day to day work relates a lot to data: collecting, data quality assurance and reporting, but not so much consists of analysis and statistics.
I have learned about basic biostatistics in my undergraduate program, and I’m willing to learn more from this course.

Dear, thank you for your encouragement. I’m sorry for the confusing research question. What I meant with “this model” is the model which I would be working on later in the project, not a pre-existing model. Yeah, it looks confusing even to me now 😀 Thank you again for pointing out.

Topic:
Effect of coup d’etat on drug-resistance tuberculosis (DR-TB) morbidity and mortality

Rationale:
Myanmar is one of DR-TB high burden countries, and the control measures were implemented by the National TB control programme together with non-governmental partners. As a result of coup d’etat and subsequent health system breakdown nationwide,…[Read more]

I completely agree with Matt’s comment. The paper alone does not have impact in diagnosis of Covid-19, however, it gives insights into future solutions and research for limited resource setting. I’m thankful for your fascinating presentation, Naphat.

It was a very interesting topic.

1. One of my instructors from med school once asked us that if we were to buy only one: oral rehydration salts for many people or one high-tech laparoscopy machine which would cost the same, which we would buy. The number of lives saved from the same amount of resource is the justification factor in my…[Read more]

1. As discussed during seminar, for those refusing to use the system, encouraging by force or policy is initially required in my opinion. After that, we can change methods according to their response.

2. Continuous support for IT solutions and HR are needed to sustain the system. Listening and responding to the users’ feedback activity is also a key.

Thank you for interesting presentation.

1. I would consider privacy and security and the app’s operability in low performance smartphones the most for smartphone tracking.

2. Highly infectious and severe diseases might benefit from smartphone tracking apps. For less infectious and severe diseases, risks and benefits of using this technology with…[Read more]

I enjoyed your presentation a lot.

1. Like you discussed, there is much relying upon past personal experiences than what the data says in our organization. This issue needs to be addressed.

2. I would in my opinion involve all levels of staffs in recording and reporting design, and data collection steps to give them a sense of autonomy. This is…[Read more]

1. EA is essential for comprehensive healthcare IT solutions in long-term. However, it’s quite difficult in my opinion to persuade stakeholders not to look for short-term solutions only.

2. Since healthcare industry is always evolving, the EA design should be adaptable to changes in the future. Continuous research is needed to know future demands.

The comprehensive dashboard in the i-AMRSS is an essential feature that enables all 3 levels of administration a better decision making concerning anti-microbial resistance.

The main concept of one health in my opinion is breaking down barriers between animal health, human health and environmental health. By strengthening animal health surveillance systems, there will be less human disease outbreaks.