| Literature DB >> 33469385 |
Mohammed Shamil1, Nanati Legese1, Yohannes Tadiwos1.
Abstract
BACKGROUND: Healthcare workers are at risk of acquiring human immunodeficiency virus (HIV) infections, because of occupational exposure to blood and other body fluids. Post-exposure prophylaxis (PEP) is a short-term antiretroviral treatment used to reduce the likelihood of viral infection after exposure to the blood or body fluids of an infected person. Timely PEP after exposure to high-risk body fluids in the working area can reduce the rate of transmission of HIV significantly.Entities:
Keywords: HIV/AIDS; Harari region; attitude; health professionals; knowledge; post-exposure prophylaxis; practice
Year: 2021 PMID: 33469385 PMCID: PMC7813453 DOI: 10.2147/HIV.S278150
Source DB: PubMed Journal: HIV AIDS (Auckl) ISSN: 1179-1373
Socio-Demographic Characteristics of Healthcare Professionals, in Health Centers of Harari Region, Eastern Ethiopia, March–April 2019
| Variables | Category | Number | Percent |
|---|---|---|---|
| Age | 20–25` | 85 | 39.2 |
| 26–30 | 96 | 44.2 | |
| 30–35 | 17 | 7.8 | |
| 36–40 | 7 | 3.2 | |
| >40 | 12 | 5.5 | |
| Sex | Male | 112 | 51.6 |
| Female | 105 | 48.4 | |
| Profession | Physician | 12 | 5.6 |
| Nurse | 77 | 35.5 | |
| Lab technician | 35 | 16.1 | |
| Public health | 31 | 14.3 | |
| Midwife | 37 | 17.1 | |
| Others | 25 | 11.5 | |
| Year of service | 0–5 | 124 | 57.1 |
| 6–10 | 61 | 28.1 | |
| 11–15 | 20 | 9.2 | |
| >15 | 12 | 5.5 | |
| Level of qualification | First Degree | 92 | 42.4 |
| Master Degree | 11 | 5.1 | |
| General Practitioner | 12 | 5.5 | |
| Diploma | 98 | 45.2 | |
| Others | 4 | 1.8 | |
| Monthly income | 1000–2000 | 5 | 2.3 |
| 2001–4000 | 124 | 57.1 | |
| 4001–6000 | 51 | 23.5 | |
| >6000 | 37 | 17.1 |
Knowledge About Occupational Exposure, and Universal Precaution and Measures to Be Taken Among Health Professionals in HC in the Harari Region, Eastern Ethiopia, March–April, 2019
| Variables | Category | Frequency | Percent |
|---|---|---|---|
| Knowledge about OE* | Heard about the risk of occupational exposure | 209 | 96.3 |
| Sharp cut | 171 | 78.8 | |
| Needlestick injury | 167 | 76.9 | |
| Mucosal contact | 146 | 67.2 | |
| Skin cut | 121 | 55.7 | |
| Measures to be taken immediately after exposure* | Wash the area with soap and water | 89 | 41.0 |
| Wash the area with alcohol and iodine | 46 | 21.2 | |
| Check patient and self HIV status | 78 | 35.9 | |
| Squeeze for more bleeding | 34 | 15.6 | |
| Seek PEP | 21 | 9.7 | |
| Report to head person | 7 | 3.2 | |
| Knowledge about UP* | Ever heard about UP | 207 | 95.4 |
| Types of protections | 190 | 87.5 | |
| Use of Protective barrier like a glove, gowns, mask | 200 | 92.1 | |
| Correct handling of sharp materials | 143 | 65.9 | |
| Disinfection and sterilization | 106 | 48.8 | |
| Proper disposal of needles and waste | 97 | 44.7 |
Note: *More than one answer is possible and percentages totals are based on respondents.
Abbreviations: OE, occupational exposure; UP, universal precaution.
Knowledge About PEP Among Health Professionals in Health Centers in the Harari Region, Eastern Ethiopia, March–April 2019
| Variables | Response | Frequency | Percent |
|---|---|---|---|
| Heard about PEP | Yes | 210 | 96.7 |
| No | 7 | 3.3 | |
| Know availability in their facility | Yes | 158 | 72.8 |
| No | 59 | 27.2 | |
| Number of drugs to be combined* | Three drug combinations | 149 | 68.6 |
| Two drug combinations | 130 | 59.9 | |
| One drug only | 66 | 30.4 | |
| More than three combinations | 8 | 3.7 | |
| Regimens they know* | TDF + 3TC + EFZ or AZT+3TC+NVP | 78 | 35.9 |
| TDF or AZT+EFV | 40 | 18.4 | |
| AZT or NVP | 19 | 8.7 | |
| Did not list any drug | 80 | 36.8 | |
| Optional period of initiation* | Within 24 hrs. | 115 | 53 |
| Within 24–72 hrs. | 110 | 50.7 | |
| After 72 hrs. | 32 | 14.7 | |
| Within one week | 8 | 3.7 | |
| Duration of treatment | 1week | 25 | 11.5 |
| 2weeks | 54 | 24.9 | |
| 3weeks | 24 | 11.1 | |
| 4weeks | 114 | 52.5 |
Note: *More than one answer is possible and percentage totals are based on respondents.
Figure 1Overall knowledge score of health professionals in health centers in the Harari region, Eastern Ethiopia, March–April 2019.
Multinomial Logistic Regression Analysis of Knowledge and Associated Factors for Healthcare Professionals Towards PEP in Health Centers in the Harari Region, Eastern Ethiopia, March–April 2019
| Variables | Frequency and Percentage of | |||||
|---|---|---|---|---|---|---|
| Poor Knowledge (Baseline Outcome) | ||||||
| Moderate Knowledge | Poor | Moderate | Good | P-value | RRR(95% CI) | |
| Age | 20–25 | 34 (40.5) | 33 (39.3) | 17 (20.2) | 1 | |
| 26–30 | 35 (38.04) | 35 (38.0) | 22 (23.91) | 0.551 | 0.79 (0.36–1.71) | |
| 31–35 | 3 (18.8) | 7 (43.8) | 6 (37.5) | 0.524 | 1.71 (0.33–8.92) | |
| 35–40 | 1 (14.3) | 4 (57.1) | 2 (28.6) | 0.75 | 1.53 (0.11 −21.14) | |
| >40 | 1 (10) | 5 (50) | 4 (40) | 0.315 | 3.41 (0.31–37.5) | |
| Sex | Male | 31 (28.7) | 51 (47.2) | 26 (24.07) | 1 | |
| Female | 43 (42.6) | 33 (32.7) | 25 (24.8) | 0.038* | 0.48 (0.24 −0.96) | |
| Year of service | 0–5 | 48 (39.3) | 52 (42.6) | 22 (18) | 1 | |
| 6–10 | 21 (36.2) | 17 (29.3) | 20 (34.5) | 0.122 | 0.47 (0.18–1.23) | |
| 11–15 | 4 (21.05) | 9 (47.4) | 6 (31.6) | 0.555 | 1.58 (0.35–7.18) | |
| >15 | 1 (10) | 6 (60) | 3 (30) | 0.511 | 2.41 (0.17–33.42) | |
| Qualification | Diploma | 44 (44.9) | 41 (41.8) | 13 (13.3) | 1 | |
| BSc degree | 29 (32.2) | 34 (37.8) | 27 (30.0) | 0.929 | 1.04 (0.46–2.32) | |
| MSc degree | 1 (4.8) | 9 (42.9) | 11 (52.4) | 0.196 | 4.63 (0.45–47.38) | |
| Monthly income | <4000 | 56 (44.0) | 48 (37.8) | 23 (18.1) | 1 | |
| >4000 | 18 (21.9) | 36 (43.9) | 28 (34.2) | 0.137 | 2.04 (0.79–5.23) | |
| attitude | Poor | 32 (46.4) | 24 (34.8) | 13 (18.8) | 1 | |
| Good | 42 (30) | 60 (42.9) | 38 (27.1) | 0.029* | 2.25 (1.09–4.67) | |
| Ever taken training | No | 27 (36.5) | 29 (39.2) | 18 (24.3) | ||
| Yes | 47 (34.8) | 55 (40.7) | 33 (24.4) | 0.807 | 1.09 (0.54–2.23) | |
| Good knowledge | ||||||
| Age | 20–25 | 34 (40.5) | 33 (39.3) | 17 (20.2) | 1 | |
| 26–30 | 35 (38.04) | 35 (38.0) | 22 (23.91) | 0.49 | 0.71 (0.27–1.87) | |
| 31–35 | 3 (18.8) | 7 (43.8) | 6 (37.5) | 0.779 | 1.29 (0.22–7.72) | |
| 35–40 | 1 (14.3) | 4 (57.1) | 2 (28.6) | 0.78 | 1.57 (0.07–36.76) | |
| >40 | 1 (10) | 5 (50) | 4 (40) | 0.394 | 3.05 (0.23–39.78) | |
| Sex | Male | 31 (28.7) | 51 (47.2) | 26 (24.07) | 1 | |
| Female | 43 (42.6) | 33 (32.7) | 25 (24.8) | 0.896 | 0.94 (0.41–2.19) | |
| Year of service | 0–5 | 48 (39.3) | 52 (42.6) | 22 (18) | 1 | |
| 6–10 | 21 (36.2) | 17 (29.3) | 20 (34.5) | 0.462 | 1.48 (0.52–4.24) | |
| 11–15 | 4 (21.05) | 9 (47.4) | 6 (31.6) | 0.113 | 4.00 (0.71–22.23) | |
| >15 | 1 (10) | 6 (60) | 3 (30) | 0.386 | 3.61 (0.19–66.09) | |
| Qualification | Diploma | 44 (44.9) | 41 (41.8) | 13 (13.3) | 1 | |
| BSc degree | 29 (32.2) | 34 (37.8) | 27 (30.0) | 0.029* | 2.93 (1.12–7.69) | |
| MSc degree | 1 (4.8) | 9 (42.9) | 11 (52.4) | 0.002* | 40.32 (3.68–441.28) | |
| Monthly income | <4000 | 56 (44.0) | 48 (37.8) | 23 (18.1) | 1 | |
| >4000 | 18 (21.9) | 36 (43.9) | 28 (34.2) | 0.831 | 1.11 (0.40–3.12) | |
| Attitude status | Poor | 32 (46.4) | 24 (34.8) | 13 (18.8) | 1 | |
| Good | 42 (30) | 60 (42.9) | 38 (27.1) | 0.019* | 2.89 (1.19–7.02) | |
| Ever taken training on PEP | No | 27 (36.5) | 29 (39.2) | 18 (24.3) | 1 | |
| Yes | 47 (34.8) | 55 (40.7) | 33 (24.4) | 0.913 | 0.95 (0.40–2.22) | |
Note: *Significant association.
Attitudes of Health Professionals Towards PEP, in Health Centers of Harari Region, Eastern Ethiopia, March–April 2019
| Questions | Response | Frequency | Percent |
|---|---|---|---|
| HIV would be acquired occupationally | Agree | 193 | 88.9 |
| Disagree | 20 | 9.2 | |
| Neutral | 4 | 1.8 | |
| You are one of those, at risk of acquiring HIV occupationally | Agree | 173 | 79.7 |
| Disagree | 33 | 15.2 | |
| Neutral | 11 | 5.1 | |
| Universal precaution methods are protective from occupational exposure to HIV/AIDS | Agree | 165 | 76.0 |
| Disagree | 37 | 17.1 | |
| Neutral | 15 | 6.9 | |
| Occupational exposure is avoidable by universal precaution and PEP. | Agree | 136 | 62.6 |
| Disagree | 52 | 23.9 | |
| Neutral | 29 | 13.4 | |
| ARV drugs are effective after occupational exposure to prevent HIV/AIDS. | Agree | 125 | 57.3 |
| Disagree | 75 | 34.6 | |
| Neutral | 17 | 7.8 | |
| PEP initiation after 72 hours of exposure would be effective | Agree | 83 | 38.2 |
| Disagree | 125 | 57.6 | |
| Neutral | 9 | 4.2 | |
| Staffs should start PEP even if they are not willing to have an HIV test after occupational exposure | Agree | 127 | 58.5 |
| Disagree | 59 | 27.2 | |
| Neutral | 31 | 14.3 |
Figure 2Overall attitude score toward PEP against HIV among health professionals in health centers in the Harari region, Eastern Ethiopia, March–April 2019.
Multiple Logistic Regression Analysis of Attitude and Associated Factors for Healthcare Professionals Towards PEP in Health Centers in the Harari Region, Eastern Ethiopia, March–April 2019
| Variables | Attitude Status | ||||
|---|---|---|---|---|---|
| Good | Poor | P-value | AOR(95% CI) | ||
| Age | 20–25 | 48 (59.2) | 33 (40.7) | 1 | |
| 26–30 | 71 (75.5) | 23 (24.5) | 0.07 | 2.01 (0.94–4.28) | |
| 31–35 | 11 (64.7) | 6 (35.3) | 0.53 | 0.64 (0.16–2.57) | |
| 35–40 | 6 (85.7) | 1 (14.3) | 0.97 | 0.95 (0.08–11.20) | |
| >40 | 7 (58.3) | 5 (41.7) | 0.248 | 0.37 (0.07–1.99) | |
| Sex | Male | 76 (71.0) | 31 (28.9) | 1 | |
| Female | 67 (64.2) | 37 (35.5) | 0.303 | 0.69 (0.35–1.38) | |
| Year of service | 0–5 | 77 (64.7) | 42 (35.3) | 1 | |
| 6–10 | 41 (68.3) | 19 (31.7) | 0.553 | 1.32 (0.53–3.27) | |
| 11–15 | 15 (75) | 5 (25) | 0.71 | 1.31 (0.31–5.45) | |
| >15 | 10 (83.3) | 2 (16.7) | 0.337 | 2.73 (0.35–21.39) | |
| Qualification | Diploma | 67 (68.3) | 31 (31.6) | 1 | |
| BSc degree | 58 (63.0) | 34 (36.9) | 0.06 | 0.45 (0.19–1.03) | |
| MSc degree | 18 (81.8) | 4 (18.2) | 0.252 | 3.97 (0.37–42.16) | |
| Monthly income | <4000 | 78 (62.4) | 47 (37.6) | 1 | |
| >4000 | 65 (74.7) | 22 (25.3) | 0.227 | 1.71 (0.71–4.09) | |
| Knowledge status | Poor | 42 (56.7) | 32 (43.2) | 1 | |
| Moderate | 60 (73.2) | 22 (26.8) | 0.033* | 2.29 (1.07–4.91) | |
| Good | 38 (74.5) | 13 (25.5) | 0.049* | 2.32 (1.03 −5.38) | |
Note: *Significant association.
Exposure and Measures Taken by the Health Professionals After Exposure in Health Centers in the Harari Region, Eastern Ethiopia, March–April 2019
| Questions | Response | Frequency | Percent |
|---|---|---|---|
| Ever exposed while at work | Yes | 128 | 59.0 |
| No | 89 | 41.0 | |
| Frequency of encountered exposure | Once | 71 | 55.5 |
| Twice | 30 | 23.4 | |
| Three and more times | 27 | 21.1 | |
| Type encountered exposures* | Needlestick | 111 | 86.7 |
| Sharp cut | 52 | 40.6 | |
| Mucosal contact | 44 | 34.4 | |
| Others(splash of body fluid) | 12 | 9.4 | |
| Immediate measures after exposures* | Washed with soap and water | 72 | 56.2 |
| Washed with alcohol and iodine | 32 | 25.0 | |
| Check patient and self HIV status | 98 | 76.5 | |
| Applied pressure to stop bleeding | 18 | 14.0 | |
| Reported the occurrence of injury | 15 | 11.7 |
Note: *More than one answer is possible and percentage totals are based on respondents.
Distribution of Serostatus of Source Patient and Practice of HCWs Towards PEP, Among Health Centers in Harari Region, Eastern Ethiopia, March 2019
| Variables | Category | Frequency | Percent |
|---|---|---|---|
| Sero-status of the source patient | Positive | 37 | 28.9 |
| Negative | 49 | 38.3 | |
| Unknown | 42 | 32.8 | |
| Tried to get PEP service | YES | 54 | 68.4 |
| NO | 25 | 31.6 | |
| Started to use PEP | YES | 49 | 90.7 |
| NO | 5 | 9.3 | |
| Duration of starting PEP after exposure | =<One hour | 5 | 10.2 |
| 6–24 hours | 26 | 53.1 | |
| 24–72 hours | 18 | 36.7 | |
| After 72 hours | 0 | 0 | |
| Completed treatment according to prescription | Yes | 44 | 89.8 |
| No | 5 | 10.2 | |
| Check their status after treatment | Yes | 32 | 65.3 |
| No | 17 | 34.7 | |
| Frequency of taking PEP | Once | 42 | 85.7 |
| Twice | 5 | 10.2 | |
| Three times | 2 | 4.1 | |
| More than three times | 0 | 0 | |
| The reason not to start PEP | Because of adverse effects | 13 | 52 |
| Lack of information on the existence of service | 9 | 36 | |
| Because of social stigma | 2 | 8 | |
| Others | 1 | 4 |
Distribution of Previous Training on PEP and Perceived Reason for Occupational Exposure, Among Health Professionals in Health Centers in the Harari Region, Eastern Ethiopia, March–April 2019
| Variables | Category | Frequency | Percent |
|---|---|---|---|
| Any on/off service training on PEP of HIV | Yes | 143 | 65.9 |
| No | 74 | 34.1 | |
| What do you think is the reason for the occupational exposure* | Negligence of health professionals | 135 | 62.2 |
| Multiple procedures at the same time/heavy workloads | 121 | 55.7 | |
| Lack of knowledge on the risk | 83 | 38.2 | |
| Recapping of needle | 97 | 44.7 | |
| Uncooperative patient | 105 | 48.4 | |
| Not enough training on the issue | 75 | 34.6 | |
| Unfamiliar procedure | 39 | 18.0 |
Note: *More than one answer is possible and percentage totals are based on respondents.