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Table 4 Experts’ valuation of patients’ drug regimens

From: Expert-based medication reviews to reduce polypharmacy in older patients in primary care: a northern-Italian cluster-randomised controlled trial

Recommendations

Intervention group: n = 281 patients §

 

n drugs

% of total prescriptions (n = 2658)

 

Total number of drugs valued as inappropriate

419

15.8%

 
  

Median (IQR)

min – max

Number of inappropriate drugs per patient (n = 281)

 

1 (1–2)

0–6

Number of inappropriate drugs per GP (n = 22)

 

20 (15–22)

5–37

Frequency of inappropriate drugs per patient

n patients

% of participating patients (n = 281)

n patients with 0 inappropriate drugs

66

23.5%

n patients with 1 inappropriate drug

91

32.4%

n patients with 2 inappropriate drugs

70

24.9%

n patients with 3 inappropriate drugs

37

13.2%

n patients with ≥4 inappropriate drugs

17

6.0%

TOTAL patients with ≥ 1 inappropriate drug

215

76.5%

Frequency of inappropriate drugs per GP

n GPs

% of participating GPs (n = 22)

n GPs with 5–10 inappropriate drugs

3

13.6%

n GPs with 11–20 inappropriate drugs

10

45.5%

n GPs with > 20 inappropriate drugs

9

40.9%

Drug classes rated as inappropriate

n drugs

% of prescribed drugs

% of inappropriate drugs (n = 419)

Anxiolytics/hypnotics (Benzodiazepines, Zolpidem)

73

92.4% (n = 79)

17.4%

Alpha-blockers

15

65.2% (n = 23)

3.6%

Antiarrhythmics

10

58.8% (n = 17)

2.4%

NSAIDs, COX-2-inhibitors (Coxibe)

21

56.8% (n = 37)

5.0%

PPIs

72

44.7% (n = 161)

17.2%

Antidepressants, antipsychotics

34

29.1% (n = 117)

8.1%

Oral antidiabetic drugs

22

25.9% (n = 85)

5.3%

Drugs for gout treatment (Allopurinol)

9

21.4% (n = 42)

2.2%

Corticosteroids

11

19.3% (n = 57)

2.6%

Beta-blockers

29

18.2% (n = 159)

6.9%

Opioids

10

14.7% (n = 68)

2.4%

Analgesics - Paracetamol

9

13.8% (n = 65)

2.2%

Dietary supplements (predominantly Calcium)

9

10.5% (n = 86)

2.2%

Vitamins (predominantly Vit. D)

11

9.3% (n = 118)

2.6%

Oral anticoagulants

9

9.0% (n = 100)

2.2%

Experts’ motivations for recommendation to stop

n drugs

% of inappropriate drugs (n = 419)

Lack of clear indication

255

60.9%

Contraindicated in older-aged persons

63

15.0%

Not first choice

57

13.6%

Not indicated as long-term therapy

27

6.4%

Disease-specific contraindication

9

2.1%

High risk of ADEs

3

0.7%

High risk of significant DDIs

2

0.5%

Unfavourable risk-benefit assessment

2

0.5%

Duplication of drugs

1

0.2%

n drugs valued as inappropriate per expert

n drugs (% of total prescriptions)

Median (IQR)

min – max

Expert of Evidence-based Medicine (EbM)

441 (16.6%)

1 (1–2)

0–6

Clinical pharmacologist

374 (14.1%)

1 (0–2)

0–6

Specialist of internal medicine

361 (13.6%)

1 (0–2)

0–6

Most frequent inappropriate drug classes per expert

Clinical pharmacologist

Internist

EbM-expert

Anxiolytics/hypnotics (Benzodiazepines, Zolpidem): n

72

72

73

PPIs: n

71

63

73

Beta-blockers: n

21

20

38

Concordance between experts

Pharm – Int

Pharm – EbM

EbM – Int

Patients where two experts fully agreed: n (%)

187 (66.6%)

224 (79.7%)

207 (73.7%)

  1. § After exclusion of pre-interventional deaths and withdrawals, the intervention was conducted on 281 patients (Fig.1)
  2. IQR Interquartile range, Min Minimum, Max Maximum, GP(s) General practitioner(s), PPIs Proton pump inhibitors, NSAIDs Non-steroidal anti-inflammatory drugs, COX Cyclooxygenase, ADEs Adverse drug events, DDIs Drug-drug interactions, Pharm Pharmacologist, Int Internist, EbM Evidence-based Medicine