| Literature DB >> 29458432 |
Appiah-Korang Labi1, Noah Obeng-Nkrumah2, Stephanie Bjerrum3, Nii Armah Adu Aryee4, Yaw Adjei Ofori-Adjei5, Alfred E Yawson6, Mercy J Newman7.
Abstract
BACKGROUND: Understanding the knowledge, attitudes and practices of physicians towards antibiotic resistance is key to developing interventions aimed at behavior change. The survey aimed to investigate physicians' knowledge and attitudes towards antibiotic resistance in a tertiary-care hospital setting in Ghana.Entities:
Keywords: Antibiotic resistance; Antibiotics; Ghana; Korle-Bu Teaching Hospital; Physicians; Views
Mesh:
Year: 2018 PMID: 29458432 PMCID: PMC5819203 DOI: 10.1186/s12913-018-2899-y
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Baseline characteristics of hospital and physicians participating in the study
| Hospital characteristics | Description | Number of respondents | Percentage |
|---|---|---|---|
| Type of hospital | 2000 bed university public teaching hospital | 159 | – |
| Prevalence of infections caused by ESBL-producers [ | Data retrieved from a cross-sectional study | 350 | 44.3 |
| Prevalence of MRSA infections [ | Data retrieved from a cross-sectional study | 3.0 | |
| Prevalence of CRE infections | Data not published | 250 | 0.3 |
| Prevalence of VRE infections | Data not published | 100 | 0 |
| Availability of local antibiotic guidelines | No | ||
| Availability of drug and therapeutic committee | Yes | – | – |
| Access to microbiologist advice | Yes. Mainly through request for clinical consultation, but also some advice by phone; only during working hours | ||
| Access to clinical pharmacists advice in KBTH | Yes. Mainly through request for clinical consultation, but also some advice by phone; only during working hours | ||
| Access to computer-based prescription | No | ||
| Hospital departments | Surgery | 26 | 16.35 |
| Genitourinary | 4 | 2.51 | |
| Medical | 45 | 28.30 | |
| Obstetrician and Gynecology | 25 | 15.71 | |
| Orthopedics | 5 | 3.14 | |
| Paediatrics | 37 | 23.27 | |
| Other departmentb | 17 | 10.69 | |
| Number of physicians surveyed | Of all levels of expertise and training | 159 | 79.50 |
| Age of study participants (mean ± SD)a | – | 159 | 32.11 ± 6.52 years |
| Gender of physicians surveyed | Male | 93 | 58.49 |
| Female | 63 | 39.6 | |
| Level of training among study participants | House officers | 64 | 40.25 |
| Medical officers/residents | 52 | 32.70 | |
| Senior residents/specialists | 33 | 20.75 | |
| Senior specialists /consultants | 10 | 6.28 | |
| Years of practice among study participants | < 1 year | 60 | 37.77 |
| 1–2 years | 6 | 3.77 | |
| 3–5 years | 19 | 11.90 | |
| > 5 years | 74 | 46.54 | |
VRE vancomycin resistant enterococci, CRE carbapenem resistant enterococci, ESBL extended-spectrum beta-lactamases, MRSA methicillin resistant Staphylococcus aureus
aSD, standard deviation
bOthers include polyclinic (n = 1), neurosurgery (n = 1), not stated (n = 15)
Perceptions and knowledge of physicians on antibiotic resistance
| Physicians’ perceptions and knowledge | Number of respondents (%) | |||
|---|---|---|---|---|
| Perceptions | Very important | Important | Not important | Don’t know |
| Grade the level of antibiotic resistance worldwide | 47(30.1) | 67(42.9) | 6(3.8) | 36 (23.1) |
| Grade the level of antibiotic resistance in Ghana | 29 (18.4) | 76 (48.4) | 5 (3.2) | 47 (29.9) |
| Grade the level of antibiotic resistance in your hospital | 14 (8.9) | 81 (51.5) | 16 (10.1) | 46 (29.3) |
| Grade the level of antibiotic resistance in your department | 9 (5.8) | 56 (36.1) | 42 (27.1) | 48 (30.9) |
| Rate the impact of antibiotic resistance on patient safety in your department | 103 (66.0) | 51 (32.7) | 2 (1.3) | 0 |
| Yes | No | |||
| Do you think antibiotics are used appropriately in your department? | 110 (72.3) | 42 (27.6) | ||
| Knowledge | ESBL | MRSA | CRE | VRE |
| Do you know about the following resistant bacteria? | 86 (62.7) | 150 (98.6) | 157 (37.6) | 74 (48.6) |
| Have you ever managed patients with infections by the following resistant bacteria? | 27 (17.3) | 49 (31.8) | 7 (4.4) | 6 (3.9) |
| Are patients in the hospital at risk of the following resistant bacteria? | 78 (51.3) | 133 (86.3) | 48 (30.5) | 67 (43.2) |
| Does the hospital have a problem with the following resistant bacteria? | 38 (24.8) | 73 (47.1) | 18 (11.5) | 15 (9.4) |
| What is the extent of the hospital’s problem with the following resistant bacteria? | ||||
| Very serious | 6 (15.7) | 25 (34.2) | 3 (16.6) | 4 (26.6) |
| Serious | 25 (65.7) | 37 (50.6) | 13 (72.2) | 10 (66.6) |
| Not serious | 7 (18.4) | 11 (15.1) | 2 (11.1) | 1 (6.6) |
| Indicate the correct order of prevalence for the following resistant bacteria in Ghana | E > M > V > Ca | M > E > C > V | E > M > C > V | Don’t know |
| All respondents | 17 (10.8) | 52 (33.3) | 10 (6.4) | 77 (49.4) |
| Senior physicians | 9 (21.4) | 8 (19.1) | 5 (11.9) | 20 (47.6) |
| Junior physicians | 8 (7.0) | 44 (38.5) | 5 (4.3) | 57 (50.0) |
| > 5 years of experience | 11 (14.6) | 21 (28.0) | 5 (6.6) | 38 (50.6) |
| < 5 years of experience | 6 (7.5) | 31 (38.8) | 5 (6.25) | 38 (47.5) |
ªE Extended-spectrum Beta-lactamases, M Methicillin resistant Staphylococcus aureus, C carbapenem resistant Enterobacteriacaea, V Vancomycin resistant Enterococci
Fig. 1Perceptions of causes of antibiotic resistance. Four factors were identified as being the most important causes of antibiotic resistance: overuse of antibiotics in the population overuse of antibiotics in hospitals, self-medication, and uncompleted antibiotic therapy
Fig. 2Physicians’ years of practice versus their knowledge of MRSA, ESBL, VRE and CRE. Shaded and white background represent percentage of junior and senior physicians respectively within each category. Chi-square for linear trend (increasing): Knowledge of ESBL, P = 0.001; knowledge of MRSA, P = 0.971; knowledge of knowledge of VRE, P = 0.004; knowledge of CRE, P = 0.001. MRSA, methicillin resistant Staphylococcus aureus; ESBLs, extended-spectrum beta-lactamases; CRE, carbapenem resistant Enterobacteriaceae; VRE, vancomycin resistant Enterococcus species
Univariate analysis of physicians’ knowledge of multidrug resistant bacteria of public health importance across senior and junior physicians
| Physicians characteristics | Numbers | Level of training | Unadjusted odds ratio | ||
|---|---|---|---|---|---|
| Senior physicians ( | Junior physicians ( | ||||
| Gender ( | 42 | 114 | |||
| Male ( | 27 | 66 | 1.31 (0.6–2.7) | 0.471 | |
| Female ( | 15 | 48 | |||
| Age of respondents ( | 39.4 ± 6.5 | 29.3 ± 4.0 | 2.71 (1.04–5.02) | 0.001 | |
| Level of antibiotic resistance in hospital (n = 157) | 42 | 115 | |||
| Very important ( | 4 | 10 | 1.11 (0.33–3.73) | 1 | |
| Important ( | 26 | 55 | 1.77 (0.86–3.65) | 0.118 | |
| Not Important ( | 3 | 13 | 0.60 (0.16–2.23) | 0.561 | |
| Don’t know( | 9 | 37 | 0.57 (0.25–1.32) | 0.191 | |
| Level of antibiotic resistance in unit ( | 74 | 80 | |||
| Very important (n = 9) | 6 | 3 | 2.26 (0.55–9.41) | 0.313 | |
| Important ( | 30 | 26 | 1.41 (0.73–2.74) | 0.300 | |
| Not important ( | 15 | 27 | 0.50 (0.24–1.04) | 0.061 | |
| Don’t know( | 23 | 24 | 1.05 (0.53–2.09) | 0.887 | |
| Level of antibiotic resistance in Ghana (n = 157) | 42 | 115 | |||
| Very important ( | 5 | 24 | 0.51 (0.18–1.44) | 0.200 | |
| Important ( | 24 | 52 | 1.61 (0.79–3.29) | 0.185 | |
| Not important ( | 2 | 3 | 1.86 (0.30–11.59) | 0.610 | |
| Don’t know( | 11 | 36 | 0.78 (0.35–1.72) | 0.381 | |
| Level of antibiotic resistance worldwide (n = 156) | 41 | 115 | |||
| Very important( | 30 | 73 | 1.26 (0.59–2.69) | 0.543 | |
| Important( | 13 | 38 | 0.86 (0.40–1.83) | 0.689 | |
| Not important (n = 2) | 0 | 2 | – | 1 | |
| Antibiotics used appropriately in department ( | 40 | 112 | |||
| Yes( | 29 | 81 | 1.01 (0.45–2.26) | 1.00 | |
| No (n = 42) | 11 | 31 | |||
| Knowledge of VRE (n = 152) | 113 | 39 | |||
| Yes ( | 48 | 26 | 2.71 (1.26–5.81) | 0.009 | |
| No( | 65 | 13 | |||
| Have ever managed VRE ( | 115 | 40 | |||
| Yes(n = 6) | 3 | 3 | 3.03 (0.59–15.65) | 0.339 | |
| No( | 112 | 37 | |||
| Extent of VRE problem in hospital ( | 115 | 41 | |||
| Very serious(n = 4) | 3 | 1 | 0.93 (0.09–9.23) | 1 | |
| Serious(n = 16) | 11 | 5 | 1.31 (0.43–4.03 | 0.764 | |
| Not serious( | 101 | 35 | 0.81 (0.29–2.27) | 0.689 | |
| Knowledge of CRE (n = 157) | 116 | 41 | |||
| Yes (n = 59) | 34 | 25 | 3.77 (1.79–7.93) | 0.001 | |
| No ( | 82 | 16 | |||
| Have ever managed CRE ( | 116 | 42 | |||
| Yes (n = 7) | 5 | 2 | 1.11 (0.21–5.95) | 1 | |
| No ( | 111 | 40 | |||
| Extent of CRE problem in hospital ( | 9 | 9 | |||
| Very serious ( | 2 | 1 | 0.44 (0.03–5.93) | 1 | |
| Serious (n = 7) | 3 | 4 | 1.6 (0.24–10.81) | 1 | |
| Not serious (n = 8) | 4 | 4 | 1 (0.16–6.42) | 1 | |
| Knowledge of ESBLs (n = 152) | 111 | 41 | |||
| Yes (n = 78) | 48 | 30 | 3.57 (1.63–7.85) | 0.001 | |
| No(n = 74) | 63 | 11 | |||
| Have ever managed ESBLs (n = 156) | 114 | 42 | |||
| Yes (n = 27) | 11 | 16 | 5.76 (2.39–13.89) | 0.001 | |
| No ( | 103 | 26 | |||
| No( | 89 | 26 | |||
| Extent of ESBL problem in hospital ( | 23 | 15 | |||
| Very serious (n = 6) | 4 | 2 | 0.73 (0.11–4.59) | 1 | |
| Serious ( | 15 | 10 | 1.06 (0.26–4.22) | 0.921 | |
| Not serious(n = 7) | 4 | 3 | 1.19 (0.22–6.26) | 1 | |
| Knowledge of MRSA (n = 152) | 112 | 40 | |||
| Yes (150) | 110 | 40 | 0.36 (0.04–2.67) | 0.575 | |
| No (n = 4) | 2 | 2 | |||
| Have ever managed MRSA(n = 152) | 76 | 75 | |||
| Yes ( | 17 | 32 | 2.67 (1.32–5.41) | 0.005 | |
| No ( | 61 | 43 | |||
| Extent of MRSA problem in hospital (n = 85) | 64 | 21 | |||
| Very serious (n = 25) | 20 | 5 | 0.68 (0.22–2.13) | 0.517 | |
| Serious ( | 41 | 12 | 0.75 (0.27–2.041) | 0.571 | |
| Not serious(n = 7) | 3 | 4 | 4.78 (0.97–23.47) | 0.061 | |
| Correct order of resistance in hospital (n = 156) | 114 | 42 | |||
| EMVC ( | 8 | 9 | 3.61 (1.39–10.11) | 0.018 | |
| Others ( | 104 | 33 | |||
VRE vancomycin resistant enterococci, CRE carbapenem resistant enterococci, ESBL extended-spectrum beta-lactamases, MRSA methicillin resistant Staphylococcus aureus, KBTH Korle-Bu Teaching Hospital
aEMCV, ESBL-producers>MRSA>CRE > VRE
Multivariate analysis of factors associated with senior physicians compared to junior physicians
| Age | Adjusted OR | |
|---|---|---|
| Knowledge of CRE | 2.35 (1.18–4.93) | 0.012 |
| Patients at the hospital are at risk of VRE | 1.71 (0.73–3.42) | 0.027 |
| Knowledge of VRE | 4.63 (1.51–8.22) | 0.001 |
| Patients at the hospital are at risk of VRE | 3.11 (1.42–5.81) | 0.071 |
| Patients at the hospital are at risk of ESBLs | 2.33 (1.24–6.11) | 0.093 |
| ESBL-producers>MRSA>CRE > VRE | 2.06 (1.46–9.81) | 0.213 |
| Knowledge of ESBLs | 2.61 (1.92–9.81) | 0.059 |
| Have previously managed MRSA infections | 1.83 (1.01–3.91) | 0.067 |
Adjusted for significant terms (P < 0.05) in bivariable comparisons
OR odds ratio, MRSA methicillin resistant Staphylococcus aureus, ESBLs extended-spectrum beta-lactamases, CRE carbapenem resistant enterobacteria, VRE vancomycin resistant enterococcus species
Fig. 3Comparisons of senior and junior physicians regarding the associated effect of age on (a) knowledge of VRE. The mean increase in age associated with VRE knowledge was significant among senior physicians; (b) knowledge of CRE. The mean increase in age associated with CRE knowledge was significant among senior physicians. Error bars represent 95% confidence intervals of means. Comparisons performed with multiple linear regression using effect size determination — with possible interaction of the variables computed by analysis of covariance (ANCOVA). CRE, carbapenem resistant enterobacteria; VRE, vancomycin resistant enterococcus species