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Table 4 The mean and standard deviation between views of patients and physicians about using health information technology in hypertension management (Inhibitory factors)

From: Identifying factors that affect the use of health information technology in the treatment and management of hypertension

Inhibitory factors

Patients

Specialist physicians

Groups

Factors

Mean

SD

Mean

SD

Economic

Bad economic conditions of users

3.23

1.03348

3.48

0.68333

High cost of setting up technology

3.31

1.04209

3.35

0.66216

Personal

Low education

3.77

1.10368

3.60

0.70892

Old age

3.61

1.25799

3.37

0.66747

Low knowledge and awareness

3.37

1.14664

3.45

0.71432

Lack of technology literacy

3.13

1.06735

3.75

0.86972

Existence of physical problems

3.30

1.19594

2.75

0.95407

Desire for face-to-face communication between doctor and patient

3.53

1.20693

3.38

0.67338

Limited insight into the disease

3.09

1.13008

3.60

1.00766

Geographical location

3.13

1.09340

3.55

0.81492

The experience is a reflection of the previous experience

3.05

1.10316

3.22

0.99968

Increased patient stress

2.81

1.18786

3.10

1.19400

Lack of confidence in the presented content and self-monitoring

3.30

0.92265

3.65

0.83359

Ethnic and cultural problems

3.01

0.95514

3.20

1.15913

Resistance to change

2.44

1.23771

3.95

0.81492

Organizational

Lack of proper infrastructure

3.27

0.86860

2.97

0.89120

Lack of policy and long-term plans

3.21

0.91938

3.47

0.87669

Technical

Incomprehensibility of technologies

2.94

0.95109

3.10

0.87119

Lack of training in the use of technologies

2.90

1.04677

3.10

1.00766

Technical problems of technologies

2.90

1.05959

3.25

0.83972

A large volume of content and information that causes confusion

2.92

1.08763

3.15

0.89299

Internet and mobile phone access problem

3.48

1.73274

3.62

0.77418

Legal/Moral

Privacy concerns

3.73

1.04719

3.50

0.90582

Concern for security

3.72

1.15094

3.79

0.76707