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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)