 This topic has 9 replies, 7 voices, and was last updated 3 years, 3 months ago by imktd8.

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20201025 at 9:11 am #23509SaranathKeymaster
Please provide 5 variables that you plan to collect in your research project. What are they? What are their variable types? How could you summarize them? For example:
Research Title:………………………………………………
PM2.5 level – continuous variable – summarized as mean(SD)
Underlying disease – categorical variable summarized as proportion (prevalence) 
20201102 at 11:16 pm #23616tullaya.sitaParticipant
Research title:factors that impact the adoption of the clinical decision support systems in health care setting
Sex categorical variables— summarized as proportion
Age continuous variable – summarized as mean(SD)
Clinical experience – continuous variable – summarized as mean(SD)
Specialty area – categorical variables— summarized as proportion (percentage)
Past experience in using CDSS – categorical variables— summarized as proportion (prevalence)
20201104 at 9:21 am #23638SaranathKeymaster
I would suggest to modify your title a bit to “Factors influencing the adoption of…”. Term “impact” is quite a strong word.
Can you think about your main outcome variable? How could you measure the adoption of the CDSS? What would be the type of this variable?

20201113 at 10:32 pm #23846tullaya.sitaParticipant
Thank you for your suggestion, Aj Saranath.
The main outcome of this study is the factors influencing the adoption of CDSS that measure by the UTAUT model in 4 aspects. The scores of each aspect are ranked in 5 points Linkert’s scale–continuous variable – summarized as mean(SD)



20201103 at 4:37 pm #23634ChalermphonParticipant
My Research title is Health impact from pm 2.5 in Chiang Mai, Thailand Year 2020.
Example of 5 variables
1. PM2.5 level – continuous variable – summarized as mean(SD),summarized as mean(SD)
2. Sex – categorical variables— summarized as number and proportion
3. Age – continuous variable – summarized as number and mean
4. Underlying Diseases – summarized as – Categorical variable summarized as rate (incident rate)
5. Risk group – Categorical variable summarized as number, rate (incident rate)
20201104 at 9:25 am #23639SaranathKeymaster
For your title: If you really want to assess “Health impact”, looking at data of year 2020 alone may not be able to assess the impact. You may consider adding temporal trend into your study (can you get 5 or 10 year data?)
What do you mean by “Risk group”? Could you provide a definition for this variable?


20201108 at 10:15 pm #23765w.thanacholParticipant
Barriers of emergency health care accessibility among the migrant patients in the context of ThaiMyanmar border area and the possibility of information tool that could reduce those gap
Example of 5 variables
1. Treatment fee – continuous variable – median and IQR
2. Education level – categorical variable – proportion
3. Time to reach health care facility – continuous variable – median and IQR
4. Health insurance status – categorical variable – proportion
5. Distance of health facility – continuous variable – median and IQR 
20201108 at 11:08 pm #23766AmeenParticipant
Project: What do ‘Netizen’ aware and prefer toward the privacy of personal health data (PHD)?: Sharing of personal health data in health research and public health program via onlineplatforms.
1. Chosen choice of sharing of personal health data – Multiple categories variable – Summarized as proportion
2. Past participation in health research – Dichotomous variable – Summarized as proportion
3. Daily time spent online – Multiple categories variable – Summarized as proportion
4. Health status – Dichotomous variable – Summarized as proportion
5. Occupation – Multiple categories variable – Summarized as proportion 
20201231 at 1:45 pm #24852Pacharapol WithayasakpuntParticipant
Research Title: Interhospital datasharing through patient: needs and concerns
1. What data have you, as a doctor, given patients to hold – categorical variable – summarized as proportion
2. Diseases, as a patient – categorical variable summarized as proportion
3. What data do you as a patient or caregiver, bring to the hospital – categorical variable summarized as proportion
4. Age (of doctors, patients) – continuous variable – summarized as mean (SD) and histogram
5. Occupation of patients – categorical variable – summarized as proportion 
20210425 at 11:39 pm #27118imktd8Participant
Research title: Pandemic Correlation and Prediction Model of New COVID19 Epidemics
in Thailand Using Internet Search Engine DataVariables:
– Sex (categorical) : summarized as proportion
– Age (continuous) : summarized as mean(SD)
– Nationality (categorical) : categorical variable – proportion
– Province of isolation (categorical) : categorical variable – proportion
– Signal predictor (categorical) : categorical variable – proportion
– Area (categorical) : categorical variable – proportion
– Risk (categorical) : categorical variable – proportion
– Infected Amount: continuous variable – summarized as mean(SD)


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