Table 4

Medication errors healthcare professional-related risk factors

Risk factorStudies with positive association (n)Controlled studies (n)Adjusted forOR or RR or beta (95% or 99% CI) p values
Age ≥51 years2 (53, 71)2NAOR 1.03 (95% CI 1.01 to 1.06) p<0.0167
NAOR 1.238 (95% CI 1.235 to 1.242) p<0.00149
More than one physician involved in their care5 (22, 33, 64, 77, 78)3NABeta 0.7 (95% CI 0.5 to 1.0) p=0.03473
Adjusted for age, sex, number of chronic conditions and number or drug consumedOR 1.39 (95% CI 1.17 to 1.67) p<0.00127
Adjusted for age and number of prescriberOR 3.52 (99% CI 3.44 to 3.60)60
Male general practitioner2 (53, 71)2NAOR 1.07 (95% CI 1.05 to 1.10) p<0.0167
NAOR 1.206 (95% CI 1.202 to 1.210) p<0.00149
Frequent changes in prescription1 (77)1NABeta 0.4 (95% CI 0.2 to 0.9) p=0.01973
Not considering the prescription of other physicians1 (77)1NABeta 1.9 (95% CI 1.1 to 3.2) p=0.01373
Inconsistency in the information1 (77)1NABeta 4.4 (95% CI 1.3 to 14.8) p=0.01373
Outpatient clinic visit1 (46)1NA1.4 (male 95% CI 1.3 to 1.4) (female 95% CI 1.3 to 1.6)42
Family medicine/general practice specialty3 (53, 56, 71)3NAOR 1.06 (95% CI 1.03 to 1.10) p<0.0167
NAOR 1.267 (95% CI 1.265 to 1.269) p<0.00149
NAOR 1.46 (95% CI 1.28 to 1.65) p<0.0552
  • CCI, Charlson Comorbidity Index; IP, inappropriate prescribing; NA, not applicable; PIM, potentially inappropriate medication; PPO, potential prescribing omission; START, Screening Tool to Alert doctors to Right Treatment; STOPP, Screening Tool of Older Person’s Prescriptions.