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Table 1 Sample Characteristics

From: A study of mobile phone use among patients with noncommunicable diseases in La Paz, Bolivia: implications for mHealth research and development

  Total sample Owns Mobile Phone* Owns Smartphone
  % (n) % p-value§ % p-value§
Total 100 (559) 86.2   12.7  
Demographics      
Age    <0.01   <0.01
 18–29 9.5 (53) 96.2   32.1  
 30–49 32.0 (179) 91.1 16.2
 50–64 36.1 (202) 88.6 8.4
 65+ 22.4 (125) 71.2 6.4
Gender    <0.01   0.64
 Male 36.3 (203) 91.6   11.8  
 Female 63.7 (356) 83.1   13.2  
Indigenous language used at home    0.07   0.02
 Yes 30.2 (169) 82.3   7.7  
 No 69.8 (390) 88.0   14.9  
Health Literacya    <0.01   <0.01
 Low 30.9 (173) 72.3   4.6  
 High 69.1 (386) 92.5   16.3  
Education in years    <0.01   <0.01
 ≤6 32.6 (182) 76.9   5.5  
 7–12 38.1 (213) 87.3 8.9
 >12 29.3 (164) 95.1 25.6
Health Status      
Self-Reported Health    0.81   0.02
 G./V.G./Exc.b 32.6 (182) 85.7   17.6  
 Poor or fair 67.4 (377) 86.5   10.3  
Number of Self-Reported Chronic Conditions    <0.01   0.03
 0 23.3 (130) 93.9   16.9  
 1 34.5 (193) 87.1 14.0
 ≥2 42.2 (236) 81.4 9.3
Depressedc    0.94   0.54
 Yes 44.5 (249) 86.4   13.6  
 No 55.5 (310) 86.1   11.9  
Health Care Access      
Cost-related access barrierd    0.43   0.01
 Yes 46.5 (260) 85.0   8.9  
 No 53.5 (299) 87.3   16.1  
Travel time to clinic in minutes    0.18   0.03
 0–29 39.4 (220) 85.9   15.9  
 30–59 34.5 (193) 87.6 12.4
 ≥60 26.1 (146) 84.9 8.2
  1. All percentages are row-percentages. §Result of Pearson Chi-squared Test for binary predictors, result of Cochran-Armitage test of trend for variables with more than two levels. *Shared mobile phone: n = 30 (6.3 %); aDefined as not being able to read, frequently or always needing someone to help read papers from health center, frequently or always having problems understanding written medical instructions; bGood/Very Good/Excellent; cAs measured by a score of 3 or more on the PHQ-2 questionnaire; d“In the past year, did cost keep you from going to a clinic or hospital?”