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Table 4 Percentage of scheduled services delivered to clients in 16–49 age care plan group

From: Preventive medical care in remote Aboriginal communities in the Northern Territory: a follow-up study of the impact of clinical guidelines, computerised recall and reminder systems, and audit and feedback

Services* Baseline 6 months 1 year 2 years 3 years OR§ (95%CI) P value for trend
Basic measures        
   Weight 68% (88) 75% (87) 80% (85) 70% (91) 56% (109) 0.80 (0.66–0.97) 0.020
   Blood pressure 80% (88) 83% (87) 84% (85) 81% (91) 74% (109) 0.87 (0.70–1.08) 0.216
   Waist circumference 38% (88) 32% (87) 45% (85) 50% (90) 38% (109) 1.12 (0.93–1.34) 0.225
   BMI 33% (88) 34% (87) 41% (85) 47% (90) 31% (109) 1.05 (0.87–1.26) 0.612
   Blood sugar (random) 56% (88) 53% (87) 64% (85) 60% (91) 43% (109) 0.89 (0.75–1.06) 0.188
   Urinalysis 59% (88) 57% (87) 64% (85) 59% (91) 47% (109) 0.84 (0.71–1.01) 0.058
Clinical examination        
   Pap smear 66% (47) 52% (46) 60% (45) 68% (50) 75% (57) 1.29 (0.99–1.67) 0.055
   Clinical breast examination 21% (48) 34% (47) 23% (47) 37% (51) 25% (57) 1.05 (0.81–1.35) 0.722
Vaccination        
   Pneumococcal vaccine n/a n/a n/a 48% (89) 65% (107) n/a n/a
Counselling        
   Family history 19% (88) 17% (87) 33% (85) 15% (91) 4% (108) 0.64 (0.49–0.83) 0.001
   Alcohol 23% (88) 31% (87) 53% (85) 38% (91) 21% (109) 0.94 (0.78–1.14) 0.543
   Smoking 22% (88) 36% (87) 53% (85) 42% (91) 23% (109) 0.98 (0.82–1.18) 0.823
   Exercise 13% (88) 21% (87) 36% (85) 31% (91) 18% (109) 1.05 (0.79–1.39) 0.748
  1. * Denominators in brackets are the number of most recent scheduled services (within the preceding 12 months of each audit) according to guidelines, which varied at each audit depending on the age of the client and the scheduled frequency of the service. §Odds ratio (OR) represents the average changing of probability for the delivery of each service with the increase of one unit of time (1 year), adjusted for the recent attendance at health centres using two-level logistic random-effects model.