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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