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Table 3 Aggregate scores given by health workers in relation to the use of AHTs

From: Use of appropriate healthcare technologies: a cross-sectional study in rural Zhejiang of China

Characteristics of respondents

Aggregate score (\( \overline{X}\pm S \))

U or χ2

p*

Gender

   

 Male

4.35 ± 0.57

74101.0

0.002

 Female

4.19 ± 0.66

  

Age (year)

   

 ≤29

4.29 ± 0.59

0.286

0.963

 30-39

4.28 ± 0.61

  

 40-49

4.25 ± 0.59

  

 ≥50

4.22 ± 0.82

  

Level of Education

   

 ≤Junior high school

4.10 ± 0.76

4.884

0.181

 Senior high (vocational) school

4.30 ± 0.57

  

 Associate degree

4.22 ± 0.61

  

 ≥Bachelor degree

4.29 ± 0.65

  

Monthly Income (Yuan)

   

 <1000

4.41 ± 0.51

6.326

0.097

 1000-2999

4.21 ± 0.68

  

 3000-4999

4.34 ± 0.55

  

 ≥5000

4.26 ± 0.71

  

Professional Title

   

 No

4.26 ± 0.46

13.262

0.004

 Junior

4.26 ± 0.61

  

 Middle

4.22 ± 0.69

  

 Senior

4.47 ± 0.54

  

Work Experience (year)

   

 ≤9

4.31 ± 0.62

2.465

0.482

 10-19

4.27 ± 0.58

  

 20-29

4.26 ± 0.64

  

 ≥30

4.13 ± 0.82

  

Areas of Services#

   

 (1) Public health

4.42 ± 0.57

17.169

0.002

 (2) Maternal and child care

4.16 ± 0.75

  

 (3) Traditional Chinese medicine

4.29 ± 0.55

  

 (4) Family planning

4.23 ± 0.41

  

 (5) Chronic condition

4.41 ± 0.57

  
  1. *Mann–Whitney U or Kruskal-Wallis H test
  2. #Nemenyi Post Hoc tests found statistical significance (p < 0.05): (1) vs (2); (1) vs (4); (2) vs (5); (4) vs (5)