chanapong

Hello everyone,

I am Chanapong Lertpanyawattanakul, a rehabilitation doctor at a community hospital. Currently, I also serve as the Deputy CIO at my hospital. Having gained valuable knowledge from the MAP-C program, I am eager to further expand and deepen my understanding of health informatics to enhance my career path, including academic…[Read more]

I would like to discuss point 15 on page 342: ‘When the same hypothesis is tested in different studies and none or a minority of the tests are statistically significant (all P > 0.05), the overall evidence supports the hypothesis.’ While individual studies may not show statistical significance, it would be incorrect to assume that this trend…[Read more]

Hello everyone,
My name is Chanapong. I am currently employed as a physiatrist at Chao Phaya Abhaibhubejr Hospital. In my work, I frequently utilize statistics for analyzing medical records and conducting research. I am proficient in using MS Excel and SPSS. Additionally, I am currently enhancing my skills in data analysis by studying R and…[Read more]

According to the Technology Acceptance Model (TAM), for successful adoption, new technology should be at least as useful as its predecessor. If the new technology is only easier to use but does not offer the same level of usefulness or functionality as the old one, users may resist adopting it. To ensure the successful adoption of new technology,…[Read more]

Technological Literacy:
High technological literacy facilitates the reception of new experiences with emerging technology. Individuals with high technological literacy find it easier to adapt to new technology compared to those with lower technological literacy, as they possess a stronger foundational understanding.

Social Influence:
The social…[Read more]

To determine why bed nets were not used, conducting a qualitative study is an appropriate approach for this situation. This method can delve into the reasons and experiences behind the lack of bed net usage in this community. By applying semi-structured interviews with individuals or conducting focus group discussions, valuable insights into the…[Read more]

Efficacy is the ability to produce a desired amount of the desired effect or success in achieving a given goal. In healthcare, it is the capacity for beneficial change (or therapeutic effect) of a given intervention (for example a drug, medical device, surgical procedure, or a public health intervention) under ideal or controlled…[Read more]

Age: 31
Sex: Male
Education: MD.
Occupation: Doctor
Workplace: Chaophraya Abhaibhubejhr Hospital

Age-specific mortality rate

An age-specific mortality rate is a mortality rate limited to a particular age group. It is used to compare the mortality rates without being affected by the difference in age distributions.

Calculation:
The numerator is the number of deaths in that age group.
The denominator is the number of persons in that age…[Read more]

Comorbidities, such as non-communicable diseases (NCD), are more prevalent in older age and could act as confounders in this context. NCDs may restrict participation in social activities, resulting in a less active contact pattern. Conversely, younger individuals typically have fewer comorbidities, contributing to increased participation and a…[Read more]

1. The author is interested in this study because of the increasing rate of suicide in Thailand and there was no previous study on socioeconomic factors associated with suicide in Thailand, which differs from developed countries’ studies.

2. Alcohol consumption is the risk factor that I want to discuss. Drinking alcohol leads to an inability to…[Read more]

1.One potential challenge in this situation is data availability. In Thailand, the location might receive from the 43 folders system via the reimbursement, which could not contain an actual residential area but a registered base location—leading to inaccuracy when investigating epidemiological studies. Additionally, using different approaches to o…[Read more]

Thank you for your comment. I agree with you that we can collect data on who is prone to have a diabetic foot ulcer, as classified by IWGDF guidelines as low, moderate, and severe risk. We can collect data on which impairment, site of abnormal pressure (callus), and management they receive along with patients with diabetic foot ulcers.

Thanks for your presentation. I like the idea that collecting data about the location, GIS, to evaluate their environmental factor. In addition, all levels of stakeholders are included to collaborate to achieve the oblective of this surveillance system.

Thank for your attractive presentation. Early detection to prevent the spreading of the disease is crucial. I like your system that include village health volunteer to share the knowledge after reporting and analyzing data. I have some question about how to confirm the diagnosis in the system to rule out other tropical infection(its presentation…[Read more]

Comparing public communication regarding the COVID-19 situation from the leaders of two countries: Singapore and the USA, based on the CREC principle is described as following

1. Be first: The Singapore leader publicly communicated the COVID-19 situation after two weeks of the event. While, the US leader communicated after the situation worsen,…[Read more]

List of the disease outbreaks that have been declared as PHEIC
-2009: The Influenza A (H1N1) pandemic
-2014: poliomyelitis
-2014: outbreak of Ebola in Western Africa
-2018–2020: Ebola epidemic in the Democratic Republic of Congo
-2015–2016: Zika virus epidemic
-2020: COVID-19 pandemic

These outbreaks raise concerns because they are ext…[Read more]

The application of centralized helplines for COVID-19 information in Thailand is needed to improve. During the outbreak, this central helpline shows only the information of the number of the infected rate, hospitalized rate, and death rate. Essential information on how to self-management and prevent spreading to others is lacking. For example, the…[Read more]

Using inaccurate data can lead to various problems, related to the public health policy and management system for controlling and preventing the disease. In case of data overestimation, inappropriate increasing cost and resources to deal with the actual situation are encountered. On the contrary, utilizing underestimated data lead to delay…[Read more]