Skip to main content

Table 6 Patient satisfaction on technical effectiveness of AHTs

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

  \( \overline{X}\pm S \) (U) χ2 p*
Gender    
 Male 4.04 ± 0.66 56390.500 0.756
 Female 4.06 ± 0.65   
Age (year)    
 <20 4.02 ± 0.68 2.981 0.395
 20-39 4.00 ± 0.71   
 40-59 4.13 ± 0.59   
 ≥60 4.05 ± 0.62   
Level of education    
 ≤Junior high school 4.03 ± 0.65 5.646 0.130
 Senior high (vocational) school 4.02 ± 0.68   
 Associate degree 4.16 ± 0.69   
 ≥Bachelor degree 4.23 ± 0.60   
Annual household income (yuan)    
 <10000 3.98 ± 0.62 14.401 0.002
 10000-29999 3.99 ± 0.67   
 30000-49999 4.02 ± 0.64   
 ≥50000 4.20 ± 0.67   
Area of servicesa    
 (1) Public health 4.02 ± 0.75 31.452 0.000
 (2) Maternal and child care 3.84 ± 0.69   
 (3) Traditional Chinese medicine 4.16 ± 0.58   
 (4) Family planning 4.11 ± 0.61   
 (5) Management of chronic conditions 4.17 ± 0.63   
Insurance coverage    
 No 3.82 ± 0.64 13635.500 0.003
 Yes 4.07 ± 0.65   
  1. *Mann–Whitney U or Kruskal-Wallis H test
  2. aNemenyi Post Hoc tests found statistical significance (p < 0.05): (2) vs (3); (2) vs (4); (2) vs (5)