Skip to main content

Table 1 Patient- and GP-related predictors of use of point-of-care (POC) testing prior to antibiotic prescribing in Denmark, 2013

From: Microbiological point of care testing before antibiotic prescribing in primary care: considerable variations between practices

Characteristic Number of antibiotic prescriptions Proportions of POC testing OR for POC testing
POC test overall Bacteriological cultures Urinary test trips Streptococcal antigen throat test C-reactive protein Crude OR (95% CI) Adjusteda OR (95% CI)
Patient-related predictors
 Patient age, years
  0–4 129,184 33% 5% 2% 19% 7% 1.00 (reference) 1.00 (reference)
  5–9 78,301 50% 8% 6% 31% 4% 1.99 (1.96–2.03) 1.98–(1.94–2.02)
  10–14 45,288 47% 10% 6% 26% 6% 1.81 (1.77–1.85) 1.80 (1.77–1.84)
  15–19 91,909 52% 15% 15% 15% 7% 2.23 (2.19–2.26) 2.14(2.10–2.17)
  20–39 411,473 49% 14% 12% 12% 10% 1.95 (1.92-1.97) 1.85 (1.83–1.88)
  40–64 620,369 42% 9% 13% 5% 15% 1.44 (1.42-1.46) 1.41(1.39-1.43)
  65–79 420,459 46% 11% 19% 1% 15% 1.75 (1.72-1.77) 1.73 (1.70-1.75)
   ≥ 80 years 272,590 41% 11% 22% 0% 8% 1.38 (1.36-1.40) 1.33 (1.31-1.35)
 Patient sex
  Female 1,320,004 47% 11% 18% 7% 11% 1.00 (reference) 1.00 (reference)
  Male 749,569 39% 10% 7% 9% 13% 0.73 (0.73-0.73) 0.75 (0.74-0.75)
 Geographical region of practice location
  Capital Region 597,406 45% 12% 12% 10% 10% 1.00 (reference) 1.00 (reference)
  Central Denmark 428,874 40% 11% 13% 6% 11% 0.84 (0.83-0.85) 0.81 (0.80-0.82)
  North Denmark Region 222,702 49% 11% 16% 7% 15% 1.19 (1.18-1.20) 1.19 (1.18-1.20)
  Region Zealand 318,353 43% 8% 17% 7% 10% 0.93 (0.92-0.93) 0.91 (0.91-0.92)
  Region of Southern Denmark 502,238 46% 10% 15% 8% 13% 1.07 (1.06-1.07) 1.04 (1.03-1.05)
City size
   < 5,000 inhabitants 1,820,020 44% 11% 14% 8% 11% 1.00 (reference) 1.00 (reference)
   ≥ 5,000 inhabitants 249,553 44% 9% 15% 7% 13% 1.02 (1.01-1.03) 1.01 (1.01-1.01)
GP-related predictors
 GP age and sex (for single-handed practices)b
   < 41, female 11,833 47% 12% 14% 10% 12% 1.00 (reference) 1.00 (reference)
  41-50, female 51,698 49% 13% 15% 10% 12% 1.07 (1.01-1.10) 1.06 (1.02-1.11)
  51-60, female 70,474 47% 13% 14% 9% 11% 0.99 (0.97-1.05) 1.01 (0.95-1.03)
   > 60, female 56,098 43% 11% 12% 10% 10% 0.83 (0.81-0.88) 0.84 (0.80-0.86)
   < 41, male 14,833 44% 12% 10% 9% 13% 0.88 (0.83-0.91) 0.87 (0.84-0.92)
  41-50, male 46,325 42% 9% 13% 9% 11% 0.81 (0.77-0.84) 0.80 (0.78-0.85)
  51-60, male 130,236 41% 9% 13% 7% 12% 0.79 (0.74-0.80) 0.77 (0.76-0.82)
   > 60, male 239,348 35% 7% 13% 6% 9% 0.62 (0.59-0.64) 0.61 (0.59-0.64)
 Workloadc in quartiles
   < 5675 475,569 44% 12% 13% 9% 11% 1.00 (reference) 1.00 (reference)
  5675-6354 514,270 45% 11% 14% 8% 12% 1.02 (1.02-1.04) 1.03 (1.01-1.02)
  6355-7189 535,857 44% 10% 14% 8% 12% 1.01 (0.99-1.00) 1.00 (1.00-1.02)
   > 7190 543,877 43% 9% 15% 7% 12% 0.99 (0.95-0.96) 0.96 (0.98-1.00)
  1. aAdjusted for patient age and sex, geographical region, city size, GP age, sex and workload (except when stratified by this variable)
  2. bExcluding 1,051 (52%) GPs working in partnership-practices due to lack of data on age and sex for this practice type
  3. cDefined as annual number of ordinary consultations per 1,000 registered patients