| Literature DB >> 31172728 |
Sarah Mossburg1, Angela Agore2, Manka Nkimbeng3, Yvonne Commodore-Mensah3.
Abstract
BACKGROUND: While all healthcare workers are exposed to occupational hazards, workers in sub-Saharan Africa have higher rates of occupational exposure to infectious diseases than workers in developed countries. Identifying prevalence and context of exposure to blood and bloodborne pathogens may help guide policies for prevention.Entities:
Mesh:
Year: 2019 PMID: 31172728 PMCID: PMC6634430 DOI: 10.5334/aogh.2434
Source DB: PubMed Journal: Ann Glob Health ISSN: 2214-9996 Impact factor: 2.462
Figure 1Prisma diagram for search strategy.
Descriptive data of included studies.
| Author, Year | Country | Design | Population | Sample Size | Sampling Strategy | Response Rate (%) | Type of Occupational Health Exposure | Limitations (Per Authors) |
|---|---|---|---|---|---|---|---|---|
| Mathewos et al., 2013 | Ethiopia | Cross-sectional | Doctor, nurses, laboratory technician, health officer, Anesthetics, Midwives and Physiotherapists | 195 | Random | NR | Bloodborne pathogen and body fluid | NR |
| Aminde et al., 2015 | Cameroon | Cross-sectional | Nurses | 80 | Convenience | 94 | Bloodborne pathogen | Cross-sectional design, small sample size |
| Ogoina et al., 2014 | Nigeria | Cross-sectional predictive correlational | Nurses, physicians and laboratory scientist | 290 | Convenience | 76 | Bloodborne pathogen, Body fluid | Measurement Error, Recall Bias |
| Manyele et al., 2008 | Tanzania | Cross-sectional | Nurses, Physicians, medical attendants | 430 | Randomly selected | NR | Bloodborne pathogen, body fluid | NR |
| Ndejjo et al., 2015 | Uganda | Cross-sectional descriptive | Nurses, Physicians, Midwives, clinical officers | 200 | Random | NR | Bloodborne pathogen | Recall Bias, cross sectional study, one facility which limits generalizability |
| Kumakech et al., 2011 | Uganda | Cross-sectional descriptive | Nurses, Physicians, Midwives, Medical lab techs and students (nursing and medical) | 224 | Stratified systematic sampling | 58.3 | Bloodborne pathogen, Body fluid | Measurement Error, Recall Bias, Involvement of students |
| Aluko et al., 2016 | Nigeria | Cross-sectional | Nurses, Physicians, Nursing Assistants | 290 | Stratified sampling and simple random sampling | 93 | General | Cross sectional design, response bias, lack of generalizability |
| Engelbrecht et al., 2015 | South Africa | Cross-sectional descriptive | Nurses, Physicians, Nursing Assistants, Allied health professionals (Social workers, physiotherapists, radiographers and dieticians) | 513 | Purposive, stratified quota | 46 | Bloodborne pathogen, Body fluid | Selection Bias, non-probability sampling |
| Efetie et al., 2009 | Nigeria | Cross-sectional survey | Physicians | 72 | Convenience | 72 | Bloodborne pathogen | Selection Bias, small sample size |
| Phillips et al., 2007 | Cameroon, Ethiopia, Ghana, Kenya, Madagascar, Malawi, Mozambique, Nigeria, Rwanda, South Africa, Sudan Tanzania, Uganda, Zambia | Cross-sectional | Physicians (Surgeons) | 84 | Convenience | 76 | Bloodborne pathogen, Body fluid | NR |
| Bekele et al., 2014 | Ethiopia | Cross-sectional descriptive | Physicians (Surgeons) | 98 | Convenience | 75 | Bloodborne pathogens | Measurement Error, Recall Bias, Too small sample size |
| Nwankwo et al., 2011 | Nigeria | Cross-sectional | Physicians (trainee surgeons) | 184 | Convenience | 80 | Bloodborne pathogens | NR |
| De Silva et al., 2009 | South Africa | Cohort | Physicians, Surgical Assistants | 30 | Random | 41 | Bloodborne pathogen, body fluid | Small sample size |
| Karani et al., 2011 | South Africa | Cross-sectional | Physicians(Interns) | 53 | Convenience | 83 | Bloodborne pathogen, Body fluid | Too small sample size, Recall bias of participants. Limited to MDs only. |
| Ogendo et al., 2008 | Kenya | Cross-sectional | Surgeons and first assistants | 346 | Convenience | NR | Bloodborne pathogen | Selection Bias, Measurement Error |
Note: NR = Not reported.
Prevalence of needlestick injuries and muco-cutaneous exposures to blood and bloodborne pathogens experienced by healthcare workers in Sub-Saharan Africa.
| Author, Year | Primary Outcome | Primary outcome prevalence (%) | Independent Variable | Factors related to knowledge | Factors related to attitudes | Factors related to practices | Factors related to access |
|---|---|---|---|---|---|---|---|
| Aluko et al., 2016 | Knowledge, attitudes and practices on occupational exposures, risk and history of injury and prophylaxis | Perceived susceptibility to needle stick injuries 94.5%, body fluid contact 92.4% | None | 57.6% had high knowledge of occupational hazards, 42.6% low knowledge of occupational hazards, 58% acquired through professional training, 67% aware of job aids, 93% aware of PEP | 80% had positive attitudes towards occupational hazards and preventive safety practices; Reasons for non-compliance with safety equipment: 6% report waste of time, 1% report uncomfortable as | 96% report wearing gloves for routine clinical practice, 94% reporting safe sharps disposal, 52% always comply with standard safety precautions | 41% report lack of safety equipment as a reason for non-compliance with safety equipment |
| Aminde et al., 2015 | Knowledge of PEP for HIV | 68% lifetime HIV occupational exposure: 24% both needlestick and splash exposure, 63% needlestick only; 1-year incidence: 54% had 1 exposure, 32% had 2 to 3, 15% >4 exposures | Demographics, length of service, previous formal training, hospital policies and source of knowledge | 84% had heard about PEP, 99% correctly identified the appropriate first aid measure, 30% correctly stated expanded 3 drug regimen for PEP and only 25% knew correct duration for therapy; Reasons for no PEP: 9% unaware of need, 16% unaware of hospital PEP policy | 86% perceived they were at risk HIV acquisition, 18% did not receive PEP because believed no susceptibility to HIV | Recapping needles 37% | 2% PEP no available |
| Bekele et al., 2014 | Hepatitis B vaccination | 78% prevalence of needle stick injury, 23% received HBV vaccine | Demographics | 19% report not vaccinating due to not knowing vaccine available in Ethiopia | 94% believed Surgeons should get HBV vaccination, 49% report reason for not vaccination was “I didn’t give it much thought in the past”, 14% report not vaccinating because it was time consuming, 8% report not vaccinating because they believed it was not useful as a Surgeon | 24% HBV vaccination rate, of those 75% (18/24) received all doses; 39% double gloved during procedures, 57% inconsistent double gloving, 4% never double gloved | 14% report not vaccinating due to cost |
| De Silva et al., 2009 | Risk of blood splashes to the eyes during surgery | 45% of visors had blood splashes, of these 68% (15/22) had macroscopic splashes, 73% (16/22) had microscopic splashes | Major/minor surgery, emergency/elective surgery, surgeon/assistant, use of special equipment | NR | NR | No significant differences identified | NR |
| Efetie et al., 2009 | Prevalence of needlestick injuries | 90% lifetime needle stick injuries | Type of hospital, Physician rank | NR | NR | 16% from recapping; 51% recapped needles by hand, 56% indicating regular use of sharps containers; 9% took appropriate action after needlestick injury, 52% didn’t report needlestick injury, 9% (6/68) took ARV; 92% indicate double-gloving | 69% indicated presence of sharps disposal containers, 37% reported needlestick policy at work |
| Engelbrecht et al., 2015 | Health and safety practices, prevention of blood and air-borne diseases | 21% needlestick injury or exposure to body fluids (2 years) | Demographics, occupation, trust in management | Lack of training reported: 24% on use of PPE, 21% prevention of needlestick injuries | NR | 57% recap needles, 29% washed gloves, 20% didn’t wash hands between patients | Infection control hazards present in all three hospitals observed (i.e. no soap, sharps containers overflowing, N95 masks not available, etc.) |
| Karani et al., 2011 | Accidental exposure to blood or body fluids | 55% exposure to blood or body fluids (1 year), 72% (21/29) were percutaneous exposures, 24% (8/29) were mucosal exposures | None | NR | NR | 88% (23/26) compliance with PEP prophylaxis when HIV positive exposure. PEP discontinued due to intolerance of medication side effects | NR |
| Kumakech et al., 2011 | Occupational exposure to HIV (percutaneous injury and muco-cutaneous contamination) | 39% needlestick injury (1 year), 3% scalpel cut injuries (1 year), 58% muco-cutaneous exposure (1 year) | Demographics, predisposing factors to exposure | 32% poor clinical knowledge contributed to NSI | NR | 12% recapping needles; 10% being less careful; 2% improper sharps disposal; 47% reported exposure; 5% PEP initiated and completed | NR |
| Manyele et al., 2008 | Availability of information on occupational health and safety (OHS), availability of qualified OHS supervisors, quantify hazardous activities in the hospital, distribution of accidents in hospitals | Needle stick injuries 52.9%, blood splashes 21.7% (timeframe not reported) | None | 33% report seminars and workshops as highest source of information about OHS | NR | Hazardous activities identified included injection, cleaning, patient care, bedding, dressing of wounds, medication and operation. | Hospitals in Kagera, Lindi, and Mawenzi had accessibility of antiseptics to less than 30% of health service providers. |
| Mathewos et al., 2013 | Knowledge level of the HCWs about PEP for HIV | 33.8% exposed to HIV risky conditions (lifetime) | None | 63.1% had adequate knowledge about PEP for HIV, 48.7% received this in formal training, 60.5% reported that PEP is efficient and 50.7% knew when to initiate PEP | 98.5% agreed on the importance of PEP for HIV, 78.5% believed it can reduce probability of being infected | Of the exposed, 74.2% (49/66) took PEP; of those who took PEP, 79.5% (39/449) completed PEP | 88.2% reported availability of PEP guidelines in the hospital. |
| Ndejjo et al., 2015 | Biological and non-biological occupational hazards | 21.5% sharp-related injuries, 17% cuts and wounds, 10.5% direct contact with contaminated specimens/biohazards, 9% airborne diseases, 7.5% infectious diseases, 7.5% other bloodborne pathogen, vector-borne disease, and bioterrorism (time not reported) | Demographics, provider specialty, overtime work, type of facility, alcohol consumption and sleep | NR | 97.0% were screened for HIV | Biological hazards associated with not wearing necessary PPE (AOR = 2.34, p = 0.006), working overtime (AOR = 2.65, p = 0.007), and experiencing work related pressure (AOR = 8.54, p = 0.001); 79.5% washed their hands before and after every procedure; 68.5% washed after handling soiled materials; 46% washed when evidently dirty; 53.5% washed after using the toilet; 44.3% (35/79) of those exposed wore all necessary PPE | Availability of medical waste disposal (92.0%); safety tools and equipment (90.0%); PPE provided by hospital (53.5%) |
| Nwankwo et al., 2011 | Percutaneous injuries and accidental exposure to patient’s blood; knowledge of universal precautions and post-exposure prophylaxis | 68% accidental blood exposure (6 months); of those 64% (89/140) needlestick injuries, 24% (33/140) blood splashes and non-sharp, 10% (14/140) operating instrument injuries, 3% (4/140) from surgical blades | Demographics, surgical specialty, Physician rank | 42% adequate knowledge of universal precautions and PEP | NR | Post-exposure practices: 54% wash with water and clean with spirit, 6% cleaned with hypochlorite solution, 72% disregarded exposure, 1% took ART | NR |
| Ogendo et al., 2008 | Blood splashes on eyewear | 53.1% contamination rate protective eyewear, 5.2% of surgeons and 3.5% assistants utilized eye protection | Demographics, use of power tools | NR | Reasons for not wearing goggles: 33% uncomfortable, 26% unavailable, 17% misting, 2% using headlamp or prescription glasses, 2% forgot or unaware | Longer surgeries and use of power tools had more splashes | NR |
| Ogoina et al., 2014 | Needle stick injuries, cut by sharps, blood splashes and skin contact with blood | 84.4% had > = 1 exposure (1 year): 44.7% needlestick injury, 32.8% cuts by sharps, 33.9% blood splashes, and 75.8% skin contact with blood | Demographics | 48.6% had training in infection control | NR | NR | NR |
| Phillips et al., 2007 | Bloodborne pathogen exposure, body fluid exposure, access and use of protective equipment | 91% percutaneous injury in the last year, mean 3.1 exposures80% > = 1 blood and body fluid exposure in the last year, mean 4.2 exposures | None | NR | NR | 39% vaccinated against HBV; 40% used hands-free technique for passing sharps; 31% used blunt suture needles; 82% typically wear a gown during surgery, 35% reported wearing a gown during most recent exposure; 29% report wearing eye protection. | 89% had access to PEP |
Note: NR = Not reported, NA = Not applicable, AOR = Adjusted odds ratio.