Occupational exposure to blood and body fluids is a major risk factor for the transmission of blood-borne infections to healthcare workers. There are several primary studies in Ethiopia yet they might not be at the national level to quantify the extent of occupational blood and body fluid exposures (splash of blood or other body fluids into the eyes, nose, or mouth) or blood contact with non-intact skin among the healthcare workers. This systematic review and meta-analysis aimed to estimate the pooled prevalence of occupational blood and body fluid exposure of healthcare workers in Ethiopia.
Methods
PubMed, Science Direct, Hinari, Google Scholar, and the Cochrane library were systematically searched; withal, the references of appended articles were also checked for further possible sources. The Cochrane Q test statistics and I2 tests were used to assess the heterogeneity of the included studies. A random-effects meta-analysis model was used to estimate the lifetime and 12-month prevalence of occupational exposure to blood and body fluids among healthcare workers in Ethiopia.
Results
Of the 641 articles identified through the database search, 36 studies were included in the final analysis. The estimated pooled lifetime and 12-month prevalence on occupational exposure to blood and body fluids among healthcare workers were found to be at 54.95% (95% confidence interval (CI), 48.25–61.65) and 44.24% (95% CI, 36.98-51.51), respectively. The study identified a variation in healthcare workers who were exposed to blood and body fluids across Ethiopian regions.
Conclusion
The finding of the present study revealed that there was a high level of annual and lifetime exposures to blood and body fluids among healthcare workers in Ethiopia.
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Abkürzungen
AOR
Adjusted odds ratio
BBFs
Blood and body fluids
HCWs
Healthcare workers
CI
Confidence interval
IPPS
Infection Prevention and Patient Safety
PRISMA
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
WHO
World Health Organization
Introduction
Occupational exposure to blood and body fluids (BBFs) is a major risk factor for the transmission of blood-borne infections to healthcare workers (HCWs). These exposures can heighten the risk of infection to human immunodeficiency virus (HIV), hepatitis B, and hepatitis C. In many cases, exposures occur through mucocutaneous injury (splash of blood or other body fluids into the eyes, nose, or mouth) or non-intact skin exposure, and percutaneous injury (occurs as a result of a break in the skin caused by a needle stick or sharps contaminated with blood or body fluids) [1‐5].
According to the World Health Organization (WHO), it is estimated that about 3 million HCWs are exposed to bloodborne pathogens each year—occupational exposure causes approximately 170,000 to HIV infections, 2 million to HBV infections, and 0.9 million to HCV infections [3]. A recent review stipulated that the prevalence of infections, such as HCV is significantly higher in HCWs than in the general population [1]. A review by Tavoschi et al. in the European Union/European Economic Area also indicate high levels of HBV and HCV infection among specific groups (such as HCWs); estimates varied widely from 0.4 to 11.7% for HBV and from 0.7 to over 90% for HCV with most being higher than in the general population [4].
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Numerous systematic reviews on BBFs exposure, prevalence of blood-borne infections, and the determinant factors were explored so far [1, 4, 6‐9]. For instant, a review by Auta et al. has demonstrated that HCWs who had received training on infection prevention and occupational exposure to blood and body fluids. The risk of occupational exposure in the preceding 12 months among healthcare workers without training was significantly higher than in trained staff (RR, 1.79, 95% CI, 1.23–2.07) [9]. Another review identified reasons for occupational BBFs: a sudden movement of the patient during blood sampling; during childbirth; during the handling of specimens; due to a lack of Personal Protective Equipment (PPE), experience years of HCWs, and working for more than 40 h/week [7].
Despite previous efforts, there are limited data about the extent of mucocutaneous injury and its driving forces particularly in the developing world [7‐9]. Of note, antecedent literatures publicized that the face is the most common exposure site reported of mucocutaneous injury: healthcare workers’ eyes (conjunctiva) were exposed to BBF (53%) of all reported cases. The mucosa of the mouth and nose were exposed in 11% and 5% of cases, respectively [5]. Prevalence studies also have revealed that a high level of splashes of fluids to an extent inevitable among HCWs than any percutaneous injury in low-income settings [10, 11].
In Sub-Saharan Africa, HCWs are at a consequential risk of infection from blood-borne pathogens because of the excessive prevalence of such blood-borne infections in the general population [8, 9]. A systematic review conducted in 21 African countries found a high prevalence of occupational exposures to blood and body fluids among HCWs—about two-thirds were exposed during their entire career, and almost half of them were exposed each year [9]. Additionally, evidence from every region of Africa indicates considerable variations in the prevalence of blood and body fluid exposures. The 12-month prevalence of all the types of mucocutaneous injury ranged from 17.0 to 67.6% in Kenyan and Burundian studies. The estimated pooled 12-month prevalence was 48.0%. Regional pooled estimates covered from 33.9 to 60.7% in Southern Africa and Northern Africa [9].
In Ethiopia, occupational exposure to BBFs is a pressing concern and continues to have a significant problem in its healthcare system [10‐14]. Antecedent studies also reported that standard precaution practices among HCWs were suboptimal, and the lack of compliance with these measures is still a great lookout [11, 13, 15, 16]. Though attention is paid to the safety of HCWs through the National Infection Prevention and Patient Safety (IPPS) initiatives, the number of exposures to BBFs reported did not manifest a sign of decline as evidenced by some studies [11, 14, 15, 17]. Several primary studies in Ethiopia conveyed a high prevalence of mucocutaneous injury. However, the results were inconsistent [11, 16‐23].. For some instances, in Central Ethiopia, the prevalence of a 12-month splash of blood or other body fluids into the eyes, nose, or mouth exposures among HCWs was 19.9% [11] and 41.3% [20]; in North Ethiopia 60.2% [16] and 31.7% [21]; and in East Ethiopia 43.8% [18] and 20.2% [14]. Currently in Ethiopia, no report exists to quantify the pooled prevalence of mucocutaneous injury among HCWs; even the existing review determined the prevalence of needle stick injury and did not estimate mucocutaneous injury [24]. Moreover, poor compliance toward standard precautions and inadequate infection prevention knowledge seemed to be common among HCWs, reflecting a potentially risk of BBFs exposure at healthcare facilities in Ethiopia [10, 12, 13]. Given these developments, it is timely and crucial to investigate the burden of occupational BBF exposures among HCWs. Therefore, the objective of the present systematic review and meta-analysis directs to estimate the pooled prevalence of BBFs among HCWs in Ethiopia.
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Methods
This systematic review and meta-analysis were conducted subsequent to “the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)” guidelines [25]. Studies were favored according to the criteria outlined below (Additional file 1).
Eligibility criteria
Study designs
In this review, we appended cross-sectional studies and baseline assessment of longitudinal studies. Studies that reported the lifetime and/or 12-month prevalence of occupational exposure through blood and/or body fluid exposures to mucous membranes and broken skins were eligible to be included in the present review. Systematic reviews, letters to editors, short communications, qualitative studies, case series, case-control studies, and case reports were excluded. Also, articles that were not fully accessible, unsuccessful two-email contacts with the primary/corresponding authors were excluded, too. In addition to the aforementioned, studies restricted to HCWs’ needle stick and/or sharp injuries were excluded when data were not provided separately for blood and body fluid exposures. Lastly, the aggregate reports for blood and/or body fluid exposures and needle stick and/or sharp injuries were debarred from the study.
Participants
Studies who met the following criteria were considered for inclusion:
Population
Healthcare works (HCWs) with direct contact to patients or blood/body fluids. We also encompassed studies, which were conducted on a specific segment of the healthcare workforce (such as physicians, nurses, midwives, laboratory technicians, and cleaners).
Exposure
Study examines occupational BBFs exposures.
Study period
No restriction on publication date, since there is no prior study in the country that examines occupational BBFs exposures.
Language
Articles which were only reported in the English language.
Article searching strategy
MEDLINE/PubMed, Hinari, Science Direct, and the Cochrane Library databases from inception until January 31, 2020, that reported the prevalence of occupational exposures to blood and/or body fluids among HCWs in Ethiopia were sought. Literature search strategies were developed using medical subject headings (MeSH) and text words related to occupational blood and/or body fluid exposures. The following search terms were used and combined using Boolean operators: “prevalence”, “magnitude”, “occupation”, “exposure”, “accident”, “occupational exposure”, “accidental exposure”, “accidental occupational exposure”, “occupational disease”, “occupational hazard”, “cross-infection”, “blood”, “body fluid”, “blood spill”, “blood-borne pathogens”, “blood-borne infection”, “health-care workers”, “health workers”, “medical personnel”, “health personnel”, and “Ethiopia”. The electronic database search was also supplemented by searching for gray literature through Google scholar, Google searching, and Ethiopian University digital repositories (such as the Addis Ababa University Digital Library). To ensure literature saturation, the reference list of appended studies and/or relevant studies identified through the search were scanned as well. Finally, the literature search was limited to the English language and human subjects (Additional file 2).
Operational definition
Occupational blood and body fluid exposure
In this review, “occupational blood and body fluid exposure” indicates mucocutaneous exposure. Mucocutaneous exposure is defined as any exposure to blood or body fluid splashes into the eyes, nose, or mouth or blood contact with non-intact skin. We appended studies that reported the lifetime or 12-month prevalence of occupational exposure through blood and body fluid contacts from at least one of these routes (eye, mouth, mucous membrane, and non-intact skin).
Healthcare workers
Healthcare workers (HCWs) are referred to as paid or unpaid individuals (e.g., full-time employees or medical students) working in a healthcare setting whose activities involve direct contact with patients, or with blood or other body fluids from the patients. Hence, we incorporated studies, which involved physicians, nurses, midwives, health officers, laboratory technicians, anesthetists, auxiliary healthcare workers, residents, or interns undertaking clinical training or gaining experiences in the healthcare settings.
Study selection and data extraction
In this review, all the searched articles were imported into the EndNote version X4 software, and after that, the duplicate articles were removed. Two investigators (BS and YT) independently screened and identified articles by their titles, abstracts, and full-texts to determine eligibilities against predetermined inclusion and exclusion criteria. Afterward, the screened articles were compiled together by the two investigators, and discrepancies were resolved through unanimous consensus.
The data extraction form was prepared using Microsoft Excel spreadsheet. Two reviewers extracted data from the studies and were entered into Microsoft Excel. The data extraction form included (i) name of the primary author; (ii) year of publication; (iii) region; (iv) sample size; (v) study population; (vi) type of study design; (vii) sampling technique (viii) response rate; and (ix) 12 months and lifetime prevalence of blood and body fluid exposure among HCWs.
Quality assessment
The qualities of the appended studies were assessed and the risks for biases were judged using the Joanna Briggs Institute (JBI) quality assessment tool for the prevalence studies [26]. There were nine parameters: (1) appropriate sampling frame, (2) proper sampling technique, (3) adequate sample size, (4) study subject and setting description, (5) sufficient data analysis, (6) use of valid methods for the identified conditions, (7) valid measurement for all participants, (8) using appropriate statistical analysis, and (9) adequate response rate (adequate if 60% or higher). Failure to satisfy each parameter was scored as 1 if not 0. The risks for biases were classified as either low (total score, 0 to 2), moderate (total score, 3 or 4), or high (total score, 5 to 9). Two reviewers (BS and YT) assessed the quality of the studies included. Finally, articles with scores of 5 to 9, which meant having a high risk of biases were debarred (Additional file 3).
Statistical analysis
Primarily, appended studies were categorized whether they have measured the lifetime prevalence of blood and body fluid exposures or whether they are on a 12-month prevalence, and later were entered into the STATA version 14. The meta pop program was utilized to estimate the pooled prevalence of lifetime and 12-month prevalence of blood and body fluid exposure among HCWs. Accordingly, the prevalence of blood and body fluid exposure (p) were estimated using data from the appended studies which reported the proportion of HCWs who were exposed to body fluids at any time during their career, and 12-month prevalence was appraised using data from the studies which reported the proportion of participants exposed to body fluids in the preceding 12 months. Corresponding standard errors (SE) were calculated using se = √p(1−p)/n. The researchers estimated the pooled prevalence of blood and body fluid exposures using random-effects meta-analysis based on DerSimonian and Laird approach. The existence of heterogeneity among the studies was checked using the I2 test statistics. Heterogeneity will be classified into the following three categories: low heterogeneity (I2 index < 25%), average heterogeneity (I2 index = 25–75%), and high heterogeneity (I2 index > 75%). Also, a p value of < 0.05 is used to declare heterogeneity. Thus, a random-effects model was used to analyze data in this study, since the estimated both 12 months and lifetime prevalence of BBFs was found to be high. Finally, meta-regression analysis was used to evaluate the association between the prevalence of BBFs and publication year, and sample size in the selected studies. We utilized STATA version 14 statistical software (StataCorp LP.2015, College Station, TX: USA) for all statistical analyses.
Publication bias
In this meta-analysis, possible publication biases were visualized thru funnel plots. Symmetrical large inverted funnels resembled the absence of publication biases. Also, the probability of publication biases were tested using two main statistical methods (Egger’s and Begg’s tests) which were wielded to test funnel plot asymmetries. The level of significance for asymmetries was viewed as p < 0.05.
Sensitivity analysis
Also, sensitivity analyses were undertaken—the stability of the pooled estimate for each study. The investigation was done by excluding a single individual study from the analysis at a time to explore the robustness of the findings.
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Results
Description of the studies
The initial electronic searches generated 641 studies using international databases and Ethiopian University research repositories. The database included PubMed (82), Science Direct (61), Hinari (279), Google Scholar (196), Cochrane Library (1), and the remaining 22 studies were identified through manual search. Of these, 151 duplicates were identified and effaced. From the tarry of 490 articles, based on the pre-defined eligibility criteria, 428 articles were excluded after reading their titles and abstracts. Sixty-two full-text articles remained and were further assessed for their eligibilities. Finally, based on the pre-defined inclusion and exclusion criteria and quality assessment, only 36 articles were extracted for the final analyses [10‐14, 16‐23, 27‐49] (Fig. 1).
Fig. 1
Flow diagram, systematic review, blood and body fluid exposure among healthcare workers in Ethiopia, 2007–2020
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Characteristics of the appended studies
The general characteristics of the favored articles were presented in Table 1. Of the 36 articles included in this review and meta-analyses, 14 were conducted in Addis Ababa; 9 in the Amhara Region; 6 in Oromia Region; 4 from the Southern Nations, Nationalities, and People (SNNP); 2 in Harari Region; and only 1 from Tigray Region. A total number of 10,973 healthcare workers participated in the study—the highest and lowest sample sizes were from the studies of Geberemariyam et al. [13] in the Oromia Region (648 HCWs), and [46] in Addis Ababa (104 HCWs). All the appended studies were cross-sectional studies. Twenty-two studies were conducted solely among hospital healthcare workers. Among the studies, twenty-three of them also presented data regarding 12-month prevalence on occupational exposures to BBFs [10‐12, 14, 16, 18‐23, 27‐29, 35, 37‐39, 43‐46, 48],,, and the lifetime prevalence on BBF exposures were reported in twenty-five studies [11‐15, 17, 19, 20, 22, 28‐34, 36, 39‐42, 44, 45, 47, 49].. From the studies, thirteen articles have reported having both the 12-month and lifetime BBFs exposure prevalence [10‐12, 14, 19, 20, 22, 28, 29, 39, 43‐45].The latest article was published in 2020 [10], and the earliest study was concluded last 2007 [44]. The prevalence of 12 months BBFs among the Ethiopian HCWs ranged from 16.5 [12] to 67.5% [23] in Addis Ababa Region. The lifetime prevalence of BBFs varied from 28.8% in the Harari Region [14] to 81.0% in the Amhara Region [33]. In this review, a low risk of bias was realized in 32 (88.9%) of the included studies (Additional file 3).
Table 1
Studies identified in the systematic review on blood and body fluid exposure among healthcare workers in Ethiopia, 2007–2020
L low risk of bias, M moderate risk of bias, HCWs healthcare workers, C cleaners/waste handlers, CS cross-sectional study design, E splashing of blood or body fluids into the eyes, M splashing of blood or body fluids into the mouth, N splashing of blood or body fluids into the nose, MM splashing of blood or body fluids to any mucous membranes, NR not reported
Prevalence of blood and body fluid exposures among HCWs in Ethiopia
The current meta-analysis using the random-effects model conveyed that the estimated overall pooled prevalence of 12 months BBF exposures among HCWs in Ethiopia was 44.24% (95% CI, 36.98-51.51) with a significant level of heterogeneity (I2 = 97.9%; p < 0.001) (Fig. 2). The lifetime pooled prevalence of BBFs using the random-effects model was 54.95% (95% CI 48.25-61.65) with a significant level of heterogeneity (I2 = 97.6%; p < 0.001) (Fig. 3).
Fig. 2
Meta-analysis, 12-month prevalence of blood and body fluid exposure among healthcare workers in Ethiopia, 2007–2020
Fig. 3
Meta-analysis, lifetime prevalence of blood and body fluid exposure among healthcare workers in Ethiopia, 2007–2020
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Investigation of heterogeneity and subgroup analysis
The included studies in this meta-analysis exhibited a statistically significant heterogeneity between studies (I2 = 97.9%; p < 0.001, and I2 = 97.6%; p < 0.001) for the 12-month and lifetime BBF exposure prevalence estimates, respectively. Accordingly, the random-effects model was used to adjust the observed variability. In identifying the possible source of heterogeneity, subgroup analyses were utilized based on the geographical regions, type of healthcare facilities, year of publication, and sample size. However, the level of heterogeneity between studies remained high after subgroup analysis (Table 2).
Table 2
Subgroup meta-analysis, blood and body fluid exposure among healthcare workers in Ethiopia, 2007–2020
Prevalence type
Variables category
Subgroup
Number of studies included
Sample size
Prevalence (95% CI)
Heterogeneity across the studies
I2 (%)
P value
Lifetime prevalence
Region
Addis Ababa
9
2473
53.00 (44.47-61.53)
94.7
< 0.001
Oromia
6
2095
53.26 (44.03-62.49)
94.6
< 0.001
Amhara
5
1652
66.17 (53.86-78.47)
96.9
< 0.001
SNNP
4
1416
54.35 (28.38-80.31)
99.1
< 0.001
Harari
1
484
28.80 (24.76-32.84)
Type of healthcare facility
Hospital
15
3945
55.13 (46.64-63.63)
97.0
< 0.001
Hospital and health centers
9
3814
55.50 (43.15-67.84)
98.5
< 0.001
Health center
1
361
47.40 (42.25-52.55)
Publication year
2007-2014
8
2605
51.64 (37.70-65.57)
98.3
< 0.001
2015-2020
17
5515
56.56 (49.44-63.68)
96.8
< 0.001
Sample size
≥ 300
13
5612
54.51 (44.13-64.89)
98.6
< 0.001
< 300
12
2508
55.51 (48.75-62.27)
92.1
< 0.001
Sampling technique
Probability
20
7052
54.45 (46.66-62.23)
98.0
< 0.001
Non-probability
5
1068
57.02 (45.74-68.29)
93.1
< 0.001
Risk of bias
Low
21
7303
53.81 (46.27-61.35)
97.9
< 0.001
Moderate
4
817
61.27 (52.38-70.16)
85.2
< 0.001
A 12-month prevalence
Region
Addis Ababa
9
2353
39.09 (28.66-49.52)
96.8
< 0.001
Oromia
2
624
44.19 (40.29-48.09)
0.0
0.644
Amhara
7
2250
48.69 (35.53-61.85)
97.8
< 0.001
Tigray
1
483
60.20 (55.83-64.57)
SNNP
2
1119
55.89 (36.58-75.19)
97.8
< 0.001
Harari
2
734
31.86 (8.73-54.98)
Type of healthcare facility
Hospital
13
3454
45.19 (38.55-51.83)
94.5
< 0.001
Hospital and health centers
9
3748
43.24 (28.72-57.77)
99.0
< 0.001
Health center
1
361
40.20 (35.14-45.26)
Publication year
2007-2014
12
3684
47.21 (36.50-57.92)
98.0
< 0.001
2015-2020
11
3879
41.04 (30.63-51.45)
98.0
< 0.001
Sample size
≥ 300
11
4722
43.32 (31.52-55.12)
98.8
< 0.001
< 300
12
2635
45.03 (37.47-52.59)
94.1
< 0.001
Sampling technique
Probability
22
7417
44.97 (37.50-52.44)
98.0
< 0.001
Non-probability
1
146
27.90 (20.63-35.17)
Risk of bias
Low
22
7417
44.97 (37.50-52.44)
98.0
< 0.001
Moderate
1
146
27.90 (20.63-35.17)
SNNP South Nation Nationalities and Peoples
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The prevalence of 12 months BBFs was found to be higher in the Tigray Region 60.20% (95% CI, 55.83-64.57), and the least was reported from the Harari Region 31.86% (95% CI, 8.73-54.98). This meta-analysis also found that the lifetime prevalence of BBF exposures differed between various regions, and the highest prevalence was found in the Amhara Region, 66.17% (95% CI, 53.86-78.47), followed by SNNP Region, 54.35% (95% CI, 28.38-80.31), and finally, the least in Harari Region, 20.80% (95% CI, 24.76-32.83). Withal, the 12 months and lifetime prevalence of BBF exposures were 41.04 (95% CI, 30.63-51.45) and 56.56% (95% CI, 49.44-63.68) in studies published between 2015 and 2020, respectively (Table 2).
Sensitivity analysis
To identify the source of heterogeneity and to explore the robustness of the findings, a leave-one-out sensitivity analysis was employed. The result of sensitivity analyses using the random-effects model revealed that no single study influenced the overall prevalence of 12 months and lifetime BBF exposures among HCWs (Additional file 4).
The publication bias
The presence of publication bias was evaluated using funnel plots and Egger’s tests at a significance level of less than 0.05. The findings revealed that publication bias was not significant for the studies reported in the 12-month prevalence of BBF exposures (p = 0.05) (Fig. 4). In the same manner, it was not statistically significant (p = 0.69) for the lifetime BBFs exposures, as well (Fig. 5).
Fig. 4
Publication bias of 12-month prevalence of BBFs exposure among HCWs in Ethiopia, 2007-2020
Fig. 5
Publication bias of lifetime prevalence of BBFs exposure among HCWs in Ethiopia, 2007-2020
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Meta-regression analysis
The results of the meta-regression analysis showed that the publication year and the sample size were not significant sources of heterogeneity. In this study, no significant relationship was identified between the 12-month prevalence of BBFs and publication year (p value = 0.76), and sample size (p value = 0.44). Similarly, there was no significant association between the lifetime prevalence of BBFs and publication year (p value = 0.54) and sample size (p value = 0.33) (Table 3).
Table 3
A meta-regression analysis of factors for heterogeneity of the prevalence of blood and body fluid exposure among the healthcare workers in Ethiopia, 2007-2020
Prevalence estimate
Heterogeneity source
Coefficients
Std. error
p value
12 months
Publication year
−0.3185998
1.026952
0.76
Sample size
−0.0190527
0.0242865
0.44
Lifetime
Publication year
0.5911936
0.9450944
0.54
Sample size
−0.0202265
0.0202779
0.33
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Narrative review on factors associated with BBFs exposure
As shown in Table 4, only 10 articles were reported factors associated with BBFs exposure [10, 11, 14, 19‐21, 28, 29, 43, 48]. Factors related to lower odds of BBFs exposure among HCWs were type of healthcare facility [10, 28], regularly applied standard precautions [14], profession (nurse [20], midwives [48]), and receiving satisfactory infection prevention training [43] (Table 4).
Table 4
Studies identified factors associated with blood and body fluid exposure among healthcare workers in Ethiopia, 2007–2020
HCWs working in referral and general hospital were less likely to have blood and body fluids splash exposure as compared to primary hospitals (AOR 0.13; 95% CI 0.05-0.35) and (AOR 0.39; 95% CI 0.17-0.90), respectively. HCWs working in surgical and medical wards were more likely to have blood and body fluids splash exposure as compared to those working in OPD and laboratories (AOR 1.85; 95% CI 1.06-3.21)
Last 1 year incidence of needle stick injury and blood and body fluids splashing were significantly associated with each other independently (AOR 3.17; 95% CI 1.86–5.42). HCWs who had regularly applied standard precautions were less likely to had the risk of blood and body fluids splashing to the eye or mouth in the past 1 year (AOR 0.79; 95% CI 0.66–0.96).
Profession (nurse) [AOR 0.5; 95% CI 0.26-0.98], shortage of personal protective equipment (PPE) in the past 1 year (AOR 1.86; 95% CI 1.11-3.11), not receiving training on infection prevention (AOR 7.08; 95% CI 3.57-14.03) and not using PPE (AOR 2.25; 95% CI 1.3-3.89) were factors associated with BBFs.
Profession (health officer) [AOR 1.86; 95% CI 1.02-3.38], HCWs working in gynecology ward (AOR 3.92; 95% CI 1.17-13.11), working in public health center (AOR 0.38; 95% CI 0.20-0.72), HCWs not receiving training on prevention of occupational infection (AOR 2.02; 95% CI 1.34-3.04), working in facilities that lacks safety signs (AOR 1.82; 95% CI 1.21-2.75) and lack of hand washing facilities in working department (AOR 1.82; 95% CI 1.25-2.64) were factors associated with occupational exposure to blood and body fluids.
Work experience (AOR 4.13; 95% CI 1.56–10.91), inconsistent use of gloves (AOR 1.98; 95% CI 1.04–3.43), and not complying with standard precautions (AOR 1.80; 95% CI 1.00–3.22) were the factors associated with occupational exposure to BBFs.
Lack of training on infection prevention (AOR 4.49; 95% CI 2.27, 8.89), long working hours per week (AOR 9.8; 95% CI 5.13, 18.74), 5–10 years work experience (AOR 2.81; 95% CI 1.15, 6.86), absence of work guidelines (AOR 2.06; 95% CI 1.03, 4.1), and dissatisfaction with current job (AOR 6.62; 95% CI 3.53, 12.43) were factors independently associated with BBFs exposure.
Training on infection prevention (AOR 2.17; 95% CI 1.25, 3.7), not wearing eye goggle (AOR 2.29; 95% CI 1.14, 4.6), and having HBV vaccination (AOR 1.82; 95% CI 1.08, 3.03) were factors associated with occupational exposure to BBFs splash.
Profession (interns) [AOR 9.4; 95% CI 1.8-49.9], 2–4 years work experience (AOR 3.2; 95% CI 1.4-7.5), and satisfactory infection prevention training (AOR 0.5; 95% CI 0.3-0.9) were factors associated with occupational exposure to BBFs splash.
Profession (midwives) [AOR 0.02; 95% CI 0.01-0.41], working for 40 and more hours (AOR 5.85; 95% CI 1.29-26.6), and vaccinated against HBV (AOR 3.57; 95% CI 1.07-11.80) were factors associated with blood and body fluid splash.
HCWs healthcare workers, C cleaners/waste handlers, CS cross-sectional study design, AOR adjusted odds ratio
Discussion
Each year, hundreds of thousands of HCWs, including waste handlers, face the risk of blood-borne diseases due to occupational BBF exposures [3, 8, 9, 50].. In Ethiopia, despite the recognition on the importance of HBV, HCV, HIV, and other diseases transmitted through BBFs by the Federal Ministry of Health (FMoH), currently, there is dearth of systematic reviews and meta-analyses that estimated the prevalence of BBFs exposure among HCWs. In this reckon, this study was the first systematic review and meta-analysis that aimed to estimate lifetime and a 12-month prevalence on occupational exposure to BBFs among Ethiopian HCWs. This review involved the results of 36 articles, which investigated the prevalence of BBF exposures, and a high burden on occupational exposures to BBFs among HCWs in Ethiopia was evidently identified.
The estimated pooled 12 months and lifetime prevalence on BBF exposures among HCWs in Ethiopia were 44.2% and 54.9%, respectively. Forbye, the 12-month BBFs prevalence in the primary studies ranged from 16.5 [12] to 67.5% [23]. In parallel, the lifetime prevalence ranged from 28.8 [14] and 81.0% [33]. This 12-month pooled prevalence estimate was almost comparable from the pooled estimate from East Africa (47.3%) [9], Côte d’Ivoire, Mali, and Senegal (45.7%) [51], and a study by Bi P et al. from Australia, revealed that 42% of HCWs had body fluid exposures in a year on their study [52]. However, it was lower than the studies conducted in Turkey (57%) [53] and Nigeria 67.5% [54]. These differences might be subjected to the variances in the socio-demographic, cultural characteristics of study participants, and study health facility setup variations.
This study explicated a higher prevalence of lifetime BBF exposures (54.9%); however, it was subservient than the reviews from the 65 studies in 21 African countries (65.7%) [9]. The foremost reason for this variation may be due to study setting dissimilarities. This finding is also inconsistent with a study in Iran which reported the prevalence of exposures at 46.47% [55]. The variance could be due to the discrepancies in the study participants (service personnel, paramedics, and nursing students were included) [55], types of included studies (historical cohort study were included in Iranian review) [55], the type of healthcare facilities (in the present review we included HCWs from primary healthcare units), and socio-demographic factors [9]. Generally, the lifetime BBF exposure rate in this study (54.9%) seems to be very low when we compared with the annual BBF exposure rate 44%. One possible explanation of why the lifetime BBF exposure rate is relatively lower in this study was due to recall bias, which is a potential limitation in self-reported studies. The other possible reason is that BBFs exposure was underreported in some of the included studies, which is likely. As all included studies were cross-sectional studies we detected relatively lower lifetime BBFs exposure.
In this review, the researchers identified a variation in the HCWs’ exposure to BBFs across the Ethiopian regions. The lifetime (66.17% in Amhara Region) and 12 months (60.20% in Tigray Region and 48.69% in Amhara Region) occupational exposure to BBFs were consistently more frequent in Northern Ethiopia, and less in Harari Region (lifetime prevalence of 28.80% and 12-month prevalence of 31.86%). The probable rationale for these regional variations may be due to the number of studies included; type of healthcare facilities; and geographical and demographical differences. The other possible vindication for these disparities may be partially explained by the polarities in the levels of standard precaution practices among the HCWs in the various regions. As one study reported, 80.8% of the HCWs regularly follow standard precautions in Eastern Ethiopia, including the Harari Region [14].
A laudative prevalence of BBF exposures among HCWs working exclusively in hospitals than those in the health centers (primary healthcare units) was also found. Almost half of the HCWs working in hospitals of Ethiopia had at least one BBFs exposure in their lifetime and in the last 12 months. The finding was predictable because these HCWs had higher workloads and they performed further medical procedures, which may have exposed them to occupational BBFs compared to those in the health centers. Therewithal, the high prevalence of BBF exposures among HCWs working in the hospitals had significant implications because most of the blood-borne viruses, such as HCV, HBV, and HIV, may haply spread through BBFs exposures, therefore, enhancing HCWs’ compliance toward standard precautionary measures is deemed necessary.
Up to date, no specific reporting guidelines have been available in the country solely on BBFs exposures. To overcome the high prevalence of mucocutaneous injury among healthcare workers in Ethiopia, the Ministry of Health should take the lead in the development of reporting guideline and in settings of standards in order to close monitoring of BBFs exposure in the country. As this review includes cross-sectional study, the limitations that come with this type of design need to be taken into consideration when interpreting the findings; it is recommended that future prospective research investigate the incidence of occupational exposure to blood and body fluids, the preventive measures, and the circumstances in which it occurs is required. Further, it will be important for implementation of preventative policies and interventions based on current knowledge to minimize the high burden of BBFs exposure in Ethiopia.
Limitations
This review article had a few adversities due to its limitations. One of which was the cross-sectional design nature of the included studies and all were based on self-reported data while estimating the prevalence of occupational BBFs exposures. Additionally, social desirability and recall biases were likely present. Since the study was conducted in Ethiopia, included healthcare facilities and the generalization of the study findings were limited to these similar contexts. Further, there was no study obtained from some Ethiopian regions, such as Afar Regional State and Benshangul-Gumuz Regional State and this might probably affect the generalizability of the present findings at a national level. Furthermore, there remains a pressing need for high-quality data on occupational BBFs exposure to identify preventive measures. Finally, attempts were made to include all the published articles on factors associated with BBFs exposure, but it is likely that some important risk factor findings have not been included mainly because of the type of the search strategy and type of study design adopted in this review. We did not also analyzed the effects of experience years of medical staff and the adoption of personal protective equipment including goggles and face shields in the reduction of mucosal exposure incidents.
Conclusions
This review exhibited a higher percentage of occupational exposures to BBFs among HCWs in Ethiopia. The available evidences suggest that more than two-in-five and one-half of healthcare workers in Ethiopia were exposed to BBFs annually and in their lifetime, respectively. Therefore, efforts should be implemented to reduce the high burden of occupational blood and body fluid exposures through effective implementation of standard precaution measures along with aggressive occupational health and safety activities.
The authors acknowledge Madda Walabu University, College of Health Sciences staff for their support during this research work.
Availability of supporting data
All relevant data are within the manuscript and its supporting information files.
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Competing interests
The author declares that they have no competing interests.
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