| Literature DB >> 31998124 |
Khezar Hayat1,2,3,4, Meagen Rosenthal5, Ali Hassan Gillani1, Jie Chang1,2,3, Wenjing Ji1,2,3, Caijun Yang1,2,3, Minghuan Jiang1,2,3, Mingyue Zhao1,2,3, Yu Fang1,2,3.
Abstract
Background: Antimicrobial resistance (AMR) is an increasing global threat, and hospital-based antimicrobial stewardship programs (ASPs) are one of the effective approaches to tackle AMR globally. This study was intended to determine the attitude of key healthcare professionals (HCPs), including physicians, nurses, and hospital pharmacists, towards AMR and hospital ASPs.Entities:
Keywords: Pakistan; antibiotic resistance; antimicrobial resistance; antimicrobial stewardship programs; healthcare professionals; nurses; pharmacists; physicians
Year: 2020 PMID: 31998124 PMCID: PMC6967405 DOI: 10.3389/fphar.2019.01520
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Figure 1Number of healthcare professionals from each division of Punjab.
Demographic characteristics of healthcare professionals (n = 881).
| Variable | Frequency (n) | Percentage (%) |
|---|---|---|
| Gender | ||
| Male | 344 | 39.0 |
| Female | 537 | 61.0 |
| Types of healthcare professionals | ||
| Physician | 410 | 46.5 |
| Pharmacist | 74 | 8.4 |
| Nurse | 397 | 45.1 |
| Age (years) | ||
| <25 | 74 | 8.4 |
| 25 to 30 | 330 | 37.5 |
| 31 to 35 | 268 | 30.4 |
| 36 to 40 | 158 | 17.9 |
| >40 | 51 | 5.8 |
| Experience (years) | ||
| <1 | 19 | 2.2 |
| 1 to 5 | 363 | 41.2 |
| 6 to 10 | 242 | 27.5 |
| 11 to 20 | 173 | 19.6 |
| >20 | 84 | 9.5 |
| Hospital departments | ||
| Emergency | 59 | 6.7 |
| Intensive care units* | 138 | 15.7 |
| Medicine | 180 | 20.4 |
| Obstetrics & gynecology | 102 | 11.6 |
| Operating room | 24 | 2.7 |
| Ophthalmology | 66 | 7.5 |
| Pharmacy | 74 | 8.4 |
| Pediatrics | 123 | 14.0 |
| Surgery | 115 | 13.1 |
| Bed capacity of hospitals (n = 6) | ||
| <1,000 | 3 | 50 |
| 1,000 to 1,500 | 1 | 16.7 |
| >1,500 | 2 | 33.3 |
*Intensive care units of medicine, surgery, pediatrics, and obstetrics and gynecology are included.
Perception of healthcare professionals towards antimicrobial resistance in agreement’ (i.e., with a “6” and “7” Likert scale response) n (%).
| Physicians (n = 410) | Pharmacists (n = 74) | Nurses (n = 397) | Total (n = 881) | Median (IQR) |
| |
|---|---|---|---|---|---|---|
|
| ||||||
| Worldwide | 233 (57.7)^ | 43 (58.1) | 94 (23.7)# | 370 (41.9) | 6(2) | <0.001 |
| Pakistani hospitals | 247 (60.2)^ | 39 (52.7) | 197 (49.6)# | 483 (54.8) | 6(2) | <0.001 |
| Pakistani community | 262 (63.9)^ | 63 (85.1)^ | 189 (47.6)# | 514 (58.3) | 6(1) | <0.001 |
| Your hospitals | 212 (51.7)^ | 54 (72.9)^ | 217 (54.7)# | 483 (54.8) | 6(2) | 0.001 |
|
| ||||||
| Use of antimicrobials in Pakistani animals/agricultural sectors | 184 (44.9)^ | 21 (28.4)^ | 195 (49.1)# | 400 (45.4) | 5(2) | <0.001 |
| Use of antimicrobials in the Pakistani community | 268 (65.4) | 40 (54.1) | 240 (60.5) | 548 (62.2) | 6(2) | 0.033 |
| Use of antimicrobials in Pakistani hospitals | 284 (69.3) | 37 (50.0)^ | 267 (67.3)# | 588 (66.7) | 6(2) | 0.001 |
| Use of antimicrobials in my hospital | 147 (35.9)^ | 30 (40.5) | 219 (55.2)# | 396 (44.9) | 5(2) | 0.008 |
| Patient pressure for antibiotics as part of treatment | 207 (50.5) | 32 (43.2) | 189 (47.6) | 428 (48.6) | 5(3) | 0.433 |
| Patients are able to buy antibiotics without a prescription from a physician | 244 (59.5)^ | 39 (52.7) | 189 (47.6)# | 472 (53.6) | 6(2) | <0.001 |
*Kruskal–Wallis test.
†Rated on a Likert scale from 1 (not a problem) to 7 (very serious problem).
‡Rated on a Likert scale from 1 (does not contribute) to 7 (strongly contributes).
#and ^shows significant difference at p < 0.017.
Perception of healthcare professionals about patient care and strategies to eradicate antimicrobial resistance in agreement’ (i.e., with a “6” and “7” Likert scale response) n (%).
| Questions‡ | Physicians (n = 410) | Pharmacists (n = 74) | Nurses (n = 397) | Total (n = 881) | Median (IQR) |
|
|---|---|---|---|---|---|---|
| Antimicrobial resistance affects patients under my care. | 168 (40.9)^ | 20 (27.0) | 137 (34.5)# | 325 (36.9) | 5(2) | 0.014 |
| Better use of antibiotics will reduce problems with antibiotic-resistant organisms | 267 (65.1) | 39 (52.7) | 267 (67.3) | 573 (65.0) | 6(2) | 0.034 |
| Inappropriate use of antibiotics can harm patients | 268 (65.4) | 46 (62.2) | 271 (68.3) | 585 (66.4) | 6(2) | 0.111 |
| Inappropriate use of antibiotics is professionally unethical. | 275 (67.1) | 43 (58.1)^ | 281 (70.8)# | 599 (67.9) | 6(2) | 0.012 |
| Improving antimicrobial prescribing at your hospital will help decrease antimicrobial resistance at the hospital. | 297 (72.4)^ | 51 (68.9) | 232 (58.4)# | 580 (65.8) | 6(2) | <0.001 |
| A formal policy for the use of antimicrobials should be introduced in my hospital. | 233 (56.8) | 49 (66.2) | 284 (71.5) | 566 (64.2) | 6(2) | 0.021 |
| Local antimicrobial guidelines and protocols should be introduced in my hospital. | 266 (64.9) | 41 (55.4) | 262 (65.9) | 569 (64.6) | 6(2) | 0.379 |
| A computer application which gives advice on the selection and duration of antimicrobial therapy for patients should be introduced in my hospital. | 263 (64.1)^ | 32 (43.2)# | 147 (37.0)# | 442 (50.2) | 6(2) | <0.001 |
| A team consisting of a Specialist Physician and Pharmacist, providing individualized antimicrobial prescribing advice and feedback should be introduced in my hospital. | 214 (52.2)^ | 48 (64.9) | 282 (71.0)# | 544 (61.7) | 6(2) | 0.002 |
| I would be willing to participate in any initiatives involving antimicrobial use in my hospital. | 207 (50.5)^ | 37 (50) | 264 (66.5)# | 508 (57.7) | 6(2) | 0.004 |
*Kruskal–Wallis test.
‡Rated on a Likert scale from 1 (strongly disagree) to 7 (strongly agree).
#and ^shows significant difference at p < 0.017.
Attitude of healthcare professionals towards strategies of hospital ASPs in agreement’ (i.e., with a “6” and “7” Likert scale response) n (%).
| Questions‡ | Physicians (n = 410) | Pharmacists (n = 74) | Nurses (n = 397) | Total (n = 881) | Median (IQR) |
|
|---|---|---|---|---|---|---|
| Regular hospital-wide audit and feedback on antibiotic utilization | 274 (66.8)^ | 42 (56.8)^ | 301 (75.8)# | 617 (70.0) | 6(2) | <0.001 |
| Restriction of prescription of all antibiotics | 147 (35.9)^ | 21 (28.4) | 84 (21.2)# | 252 (28.6) | 3(4) | 0.001 |
| Restriction of prescription of certain antibiotics | 271 (66.1)^ | 43 (58.1)# | 227 (57.2) | 541 (61.4) | 6(2) | 0.004 |
| Readily accessible microbiological data and advice | 297 (72.4) | 49 (66.2) | 235 (59.2) | 581 (65.9) | 6(2) | 0.099 |
| Regular educational sessions | 318 (77.6) | 54 (72.9)^ | 300 (75.6)# | 672 (76.3) | 7(1) | 0.015 |
*Kruskal–Wallis test.
‡Rated on a Likert scale from 1 (strongly disagree) to 7 (strongly agree).
#and ^shows significant difference at p < 0.017.
Figure 2Previous engagement of healthcare professionals in AMR and ASPs.
Median scores of healthcare professionals with IQR about their perception towards AMR, AMR eradication, and ASP methods.
| Variables | AMR score median (IQR) |
| AMR eradication score median (IQR) |
| ASP score median (IQR) |
|
|---|---|---|---|---|---|---|
| Gender* | ||||||
| Male | 5.5(1.50) | 0.143 | 6.0(2.00) | 0.920 | 6.0(2.00) | 0.597 |
| Female | 5.5(1.50) | 6.0(2.00) | 6.0(2.00) | |||
| Healthcare professionals** | ||||||
| Physician | 6.0(1.50) | 0.016 | 6.0(2.00) | 0.366 | 6.0(2.00) | |
| Pharmacist | 5.5.(2.50) | 6.0(2.00) | 6.0(2.00) | |||
| Nurses | 5.5(1.00) | 6.0(2.00) | 7.0(2.00) | 0.021 | ||
| Age (years)** | ||||||
| <25 | 5.0(4.00) | 5.5(1.63) | 6.0(2.00) | |||
| 25 to 30 | 5.5(1.13) | 6.0(2.00) | 6.0(2.00) | |||
| 31 to 35 | 6.0(1.50) | 6.0(2.00) | 6.0(2.00) | |||
| 36 to 40 | 6.0(2.00) | 0.001 | 6.0(2.00) | 0.039 | 7.0(2.00) | 0.009 |
| >40 years | 6.0(5.50) | 6.5(2.50) | 7.0(3.00) | |||
| Experience (years)** | ||||||
| <1 | 5.0(1.00) | 6.5(2.0) | 5.0(3.00) | |||
| 1 to 5 | 5.0(1.00) | 6.0(2.0) | 6.0(2.0) | |||
| 6 to 10 | 6.0(2.000) | <0.001 | 6.0(2.0) | 0.133 | 7.0(2.0) | 0.006 |
| 11 to 20 | 6.0(2.00) | 6.0(2.0) | 7.0(2.0) | |||
| >20 | 5.5(1.38) | 6.0(2.0) | 6.0(2.0) | |||
*Mann–Whitney Test.
**Kruskal–Wallis Test.