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Table 2 Episode and measures of practice variance in medication prescribed within 3 days of ALRTIa diagnosis, stratified by asthmab status

From: Use of antibiotics and asthma medication for acute lower respiratory tract infections in people with and without asthma: retrospective cohort study

 

Patients with asthma

Patients without asthma

ALRTI episodes, n = 127,976 (n, %)

 No treatment

3374 (16.1)

20,293 (19.0)

 Antibiotics onlyc

8985 (42.8)

70,944 (66.3)

 d Asthma medication only

508 (2.4)

1803 (1.7)

  Oral steroide

298 (1.4)

808 (0.8)

 Antibioticsc and asthma medicationd

8123 (38.7)

13,946 (13.0)

  Antibioticsc and oral steroidse

5341 (25.4)

6318 (5.9)

Practice variance, n = 513 (95% mid-range OR, 95% CI) f

 No treatment

3.09 (2.41, 4.23)

2.04 (1.81, 2.36)

 Antibiotics onlyc

1.63 (1.46, 1.88)

1.89 (1.72, 2.13)

 Asthma medication onlyd

7.46 (4.00, 18.46)

17.18 (10.08, 33.1)

  Oral steroide

17.76 (6.55, 81.91)

93.92 (33.15, 362.72)

 Antibioticsc and asthma medicationd

1.62 (1.45, 1.87)

2.46 (2.14, 2.91)

  Antibioticsc and oral steroidse

2.94 (2.37, 3.84)

5.81 (4.39, 8.11)

  1. IQR Interquartile range
  2. a Acute lower respiratory tract infection
  3. b Defined as ever diagnosed and asthma medication prescribed in the 12 months prior to ALRTI
  4. c Antibiotics limited to oral formulations and includes amoxicillin, doxycycline, clarithromycin, co-amoxiclav, azithromycin, erythromycin, tetracycline, cefalexin, cefradine
  5. d Among patients without asthma, asthma medication refers to any asthma medication, including oral corticosteroids. Among patients with asthma, asthma medication refers to an increase in the dose of current treatment and/or additional asthma medication (including oral corticosteroids) prescribed compared to the prior month
  6. e Oral steroids refer to oral corticosteroids
  7. f Practice variance was calculated from the variance of the random effect (σ2) and is given by e2 × 1.96 × σ and represents the odds ratio comparing a practice at the 2.5th percentile of the distribution of practices to one at the 97.5th percentile for the treatment outcome of interest. For example, amongst patients without asthma, practices who most frequently prescribed no treatment were 2.14 times more likely to prescribe no treatment compared to practices who prescribed no treatment the least