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Table 3 Factors associated with willingness to use TM

From: Assessment of willingness to Tele-monitoring interventions in patients with type 2 diabetes and/or hypertension in the public primary healthcare setting

Factors associated with willingnessp-valueOdds ratio
Gender0.440.875 (0.622–1.231)
Age0.290.826 (0.579–1.178)
Ethnicity0.130.743 (0.507–1.087)
Highest Education0.301.271 (0.806–2.004)
Employment0.411.164 (0.811–1.671)
Marital Status0.941.018 (0.669–1.548)
Financial Assistance0.180.794 (0.567–1.112)
(Perception of Health) In general, would you say your health is:0.211.240 (0.886–1.736)
How much time did the patient set aside for the appointment today0.320.821 (0.556–1.214)
Perception of health compared to 1 year agoa0.701.082 (0.723–1.620)
Tele-monitoring would be satisfactory compared to seeing the doctor in person.< 0.012.790 (1.961–3.970)
Is patient accompanied0.041.595 (1.029–2.473)
Perceptions on monetary savings from telemedicinea0.011.777 (1.279–2.469)
Patient would be more convinced after seeing benefits from reports0.041.425 (1.019–1.994)
Tele-monitoring can violate patients’ privacy0.020.635 (0.432–0.934)
Handphonea0.670.483 (0.017–13.359)
Access to computera0.221.323 (0.841–2.082)
Access to internet0.410.748 (0.375–1.493)
Computer skillsa0.111.480 (0.913–2.401)
Use Smartphone appsa0.341.235 (0.798–1.911)
Tablet0.081.352 (0.968–1.890)
Patient feels communication devices too challenging0.021.546 (1.088–2.192)
Patient is concerned they are unable to express their problems over telemonitoring0.061.585 (1.139–2.203)
  1. an for these factors are < 899 instead of the total n = 889 participants as the question was not applicable to the participant or they declined to answer.