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. 2023 Feb 9;20(4):3061. doi: 10.3390/ijerph20043061

Table 1.

Participants’ demographic variables, health data, and telemedicine modes (n = 550).

Demographic Variables Frequency Health Data Frequency
n % n %
Gender Health issue when telemedicine used
  Male 365 66.4   Heart disease 104 18.9
  Female 185 33.6   Arthritis 20 3.6
Age * (years)   Stomach/bowel disease 77 14.0
  18–25 255 46.4   Hyperlipidaemia 16 2.9
  26–40 228 41.5   Immune system disease 22 4.0
  ≥41 67 12.2   Sexual or mental health issue 60 10.9
Marital Status   Eye disease 13 2.4
  Single 320 58.2   Skin disease 85 15.5
  Married 205 37.3   Diabetes 14 2.5
  Divorced/Widowed/Other 25 4.5   Pain 28 5.1
Education Level   Lung disease 20 3.6
  No Education 25 4.5   Infectious disease 19 3.5
  Primary School 41 7.5   Other disease 72 13.1
  Secondary School 76 13.8 Telemedicine method
  University/College 408 74.2   Telephone 305 55.4
Employment Status   Live video chat 104 18.9
  Full-time 205 37.3   Telephone message 68 12.4
  Part-time/Casual **** 72 13.1   Forwarding medical documents to specialist 73 13.3
  Unemployed *** 273 49.6
Family Income Status **
  Low Income 65 11.8
  Middle Income 222 40.4
  High Income 263 47.8

* Age: mean = 30.2 (±12.3) years, minimum = 18, maximum = 85. ** Low income = less than BDT 5000 per month, middle income = BDT 5000–20,000 per month, high income = more than BDT 20,000 per month. BDT is the currency for Bangladesh. *** Unemployed participants did not have any job or employment at the time of survey. **** Casual employment referred to a temporary and flexible job without any ongoing work commitment or requirements beyond completing a job.