Skip to main content
. 2015 Aug 25;2(3):273–287. doi: 10.1007/s40801-015-0032-7

Table 4.

Characteristics of 1310a healthcare professional (HCPs) who disclosed that they had ever committed potentially harmful medication errors (MEs), Uganda, 2013

Factor Ever made MEs with potential to harm patients Crude analysis Adjusted analysis
Agree (%) Other (%) OR 95 % CI P value OR 95 % CI P value
Level of health facility
 Other 90 (18.4) 400 (81.6) 1.0 1.0
 Hospital 145 (17.7) 675 (82.3) 1.0 0.71–1.28 0.755 0.7 0.48–1.08 0.109
Type of health facility
 Public 115 (20.7) 442 (79.3) 1.0 1.0
 Private not-for-profit 42 (15.4) 230 (84.6) 0.7 0.48–1.03 0.073 0.8 0.51–1.18 0.235
 Private for-profit 78 (16.2) 403 (83.8) 0.7 0.54–1.02 0.068 0.8 0.51–1.17 0.218
Region of the country
 Central 117 (19.6) 481 (80.4) 1.0 1.0
 Eastern 66 (16.2) 342 (83.8) 0.8 0.57–1.11 0.172 1.0 0.69–1.56 0.866
 Other 52 (17.1) 252 (82.9) 0.8 0.59–1.22 0.371 1.0 0.66–1.50 0.979
Professional cadre
 Nurse 124 (16.2) 644 (83.8) 1.0 1.0
 Non-nurse 111 (20.5) 431 (79.5) 1.3 1.01–1.78 0.044 1.1 0.76–1.47 0.750
Age, years
 Less than 30 108 (18.7) 469 (81.3) 1.0 1.0
 30 or more 127 (17.3) 606 (82.7) 0.9 0.69–1.21 0.515 0.8 0.62–1.14 0.277
Department
 Medicine 123 (19.3) 516 (80.7) 1.0
 Surgery 19 (18.6) 83 (81.4) 1.0 0.56–1.64 0.882 0.9 0.53–1.70 0.859
 Pediatrics, obstetrics and gynecology 34 (17.1) 165 (82.9) 0.9 0.57–1.31 0.495 0.9 0.59–1.48 0.778
 Other 59 (16.0) 311 (84.0) 0.8 0.57–1.12 0.189 0.8 0.59–1.23 0.386
Patient load
 More than 30/day 112 (19.0) 477 (81.0) 1.0 1.0
 At most 30/day 123 (17.1) 598 (82.9) 0.9 0.66–1.16 0.359 0.9 0.65–1.20 0.421
Involved in medical research
 No 153 (16.5) 773 (83.5) 1.0 1.0
 Yes 82 (21.4) 302 (78.6) 1.4 1.02–1.85 0.039 1.2 0.88–1.68 0.231
Ever encountered fatal ADR
 No 172 (16.4) 879 (83.6) 1.0 1.0
 Yes 63 (24.3) 196 (75.7) 1.6 1.18–2.28 0.003 1.6 1.10–2.28 0.014
Knows to whom to report ADRs
 No 136 (20.8) 519 (79.2) 1.0 1.0
 Yes 99 (15.1) 556 (84.9) 0.7 0.51–0.90 0.008 0.8 0.55–1.03 0.074
Suggested ways to improve ADR reporting
 No 53 (16.1) 276 (83.9) 1.0 1.0
 Yes 182 (18.6) 799 (81.4) 1.2 0.85–1.66 0.318 1.3 0.88–1.80 0.206
I would only report an ADR if I was sure that it was related to the use of a particular drug
 Other 110 (22.2) 385 (77.8) 1.0 1.0
 Agree 125 (15.3) 690 (84.7) 0.6 0.48–0.84 0.002 0.6 0.47–0.87 0.004
I do not know how information reported in an ADR form is used
 Other 125 (17.1) 605 (82.9) 1.0 1.0
 Agree 110 (19.0) 470 (81.0) 1.1 0.85–1.50 0.388 1.1 0.81–1.48 0.556
Root-cause analysis of MEs
 Other 41 (20.5) 159 (79.5) 1.0 1.0
 Agree 194 (17.5) 916 (82.5) 0.8 0.56–1.20 0.306 0.8 0.54–1.25 0.353
There is a lack of time for reporting MEs
 Other 165 (16.9) 814 (83.1) 1.0 1.0
 Agree 70 (21.2) 261 (78.8) 1.3 0.97–1.81 0.079 1.2 0.89–1.72 0.214
There is a culture of blame within healthcare
 Other 79 (15.3) 438 (84.7) 1.0 1.0
 Agree 156 (19.7) 637 (80.3) 1.4 1.01–1.83 0.043 1.2 0.87–1.66 0.269
There is a need for organizational leadership and support in reporting MEs
 Other 42 (17.0) 205 (83.0) 1.0 1.0
 Agree 193 (18.2) 870 (81.8) 1.1 0.75–1.56 0.671 1.1 0.72–1.71 0.637
System should report both actual and potential MEs
 Other 91 (22.0) 322 (78.0) 1.0 1.0
 Agree 144 (16.1) 753 (83.9) 0.7 0.50–0.91 0.009 0.6 0.44–0.85 0.003
I am more likely to make MEs in tense or hostile situations
 Other 105 (13.1) 694 (86.9) 1.0 1.0
 Agree 130 (25.4) 381 (74.6) 2.3 1.69–3.00 <0.001 2.0 1.47–2.77 <0.001
Important issues are well communicated at shift changes
 Other 97 (21.5) 354 (78.5) 1.0 1.0
 Agree 138 (16.1) 721 (83.9) 0.7 0.52–0.93 0.015 0.8 0.56–1.05 0.096
I may hesitate to use a reporting system for MEs because I am concerned about being identified
 Other 130 (14.8) 748 (85.2) 1.0 1.0
 Agree 105 (24.3) 327 (75.7) 1.8 1.39–2.46 <0.001 1.6 1.14–2.14 0.005
I should be financially rewarded for reporting MEs
 Other 166 (17.1) 803 (82.9) 1.0 1.0
 Agree 69 (20.2) 272 (79.8) 1.2 0.90–1.68 0.199 1.3 0.92–1.80 0.137

ADR adverse drug reaction

aThe missing-assigned approach (missing data assigned to the “no” category) was used to account for missing data prior to commencing the model fitting procedures