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Table 2 Logistic regression model* of factors affecting the decision to request a malaria slide.

From: The contribution of microscopy to targeting antimalarial treatment in a low transmission area of Tanzania

  Antimalarial with no slide request (n = 132) Slide request (n = 214) Initial adjusted OR P Final adjusted OR P
Age 15 years or over, n (%) 47(36%) 139(65%) 4.03 <0.01 3.86 <0.01
Male (%) 58(44%) 78(37%) 1.01 0.16   
Distance from village/km: median (IQR) 5(5–25) kms 10(5–25) kms 1.02 0.78   
Hours to travel to clinic: median (IQR) 1(1–2) hrs 2(1–2) hrs 1.95 <0.01 1.77 <0.01
Socio-economic score§: mean 0.97 1.05 1.16 0.26   
Number of days ill: median (IQR) 3(2–4) days 4(3–7) days 0.97 0.15   
Antimalarial used in previous 48 hrs: n (%) 3(2.3%) 8(3.8%) 0.90 0.89   
Fever in previous 48 hrs: n (%) 85(64%) 149(70%) 2.23 0.03 1.72 0.03
'Body pain' in previous 48 hrs: n (%) 92(70%) 168(79%) 1.06 0.84   
Cough in previous 48 hrs: n (%) 71(54%) 97(46%) 0.93 0.79   
Diarrhoea or vomiting in prev. 48 hrs: n (%) 55(43%) 82(38%) 0.87 0.60   
Other symptom in previous 48 hrs: n (%) 33(25%) 46(22%) 0.66 0.18   
  1. *Logistic regression model with dependant variable = slide requested (1) or not requested (0), independent variables in model: aged 15 years or over, socio-economic score, distance to village, hours of travel to clinic, number of days ill, use of an antimalarial in 48 hrs before attendance, a report in the previous 48 hours of: fever, body pain, cough, diarrhoea or vomiting, or 'other' symptom (not specified). Variables were eliminated in a backwards fashion if p >= 0.1. All binary variables used the negative response as the baseline odds (i.e. OR = 1).
  2. Estimated distance between hospital outpatient clinic and village of residence.
  3. IQR = Interquartile range
  4. §Socio-economic score was derived from principal components analysis of reported possession in the household of the following: car, motorbike, radio, mobile phone, television, or refrigerator.
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