Abstract
Background and objective
Workplace accidents (WPAs) are a common problem worldwide. They are often considered a public health concern due to the potential transmission of infections such as HIV, hepatitis B, and hepatitis C through sharp devices or direct exposure to biofluids. Post-exposure prophylaxis (PEP) has demonstrated effectiveness in such instances, especially immediately after exposure. The present study aimed to report the prevalence rate of HIV seroconversion following such exposure among healthcare workers (HCWs).
Methods
We conducted a cross-sectional study involving a database analysis of cases from 2015 to 2024. Central tendency measures were used to describe population characteristics, and rates were calculated using standard methods.
Results
A total of 514 HCWs were included in the study. The prevalence of WPAs was 13 per 100 HCWs. Regarding WPAs related to HIV exposure, the prevalence was 0.9 per 100 HCWs, with 0% seroconversion thanks to timely PEP.
Conclusions
WPAs related to HIV exposure are a serious issue for public health systems worldwide. Although protocols are available and no seroconversion cases were reported in the present study, PEP is not always accessible in several settings, increasing the risk of seroconversion. International public policy measures should be uniformly implemented to provide faster access to prophylaxis, educate the personnel, raise awareness about bloodborne diseases, and reduce excessive red tape.
Keywords: workplace accidents, healthcare workers, seroconversion, biofluids exposure, sharp injuries, human immunodeficiency virus
Introduction
Healthcare accidents constitute a common public health concern worldwide. As per WHO data released in 2022, more than two million healthcare workers (HCWs) suffered a workplace accident (WPA) [1]. Sharp injuries (SIs) and biofluid exposures remain the most common occupational accidents in medical facilities. According to the Centers for Disease Control and Prevention (CDC), approximately 400,000 sharp-related injuries are reported yearly. The CDC defines a sharp injury as “a penetrating stab wound from a needle, scalpel, or other sharp object that may result in exposure to blood or other body fluids” [2]. Bloodborne infectious diseases are a major concern since they can be life-threatening after transmission [3]. Viral bloodborne infectious diseases such as hepatitis B and C are frequently related to SI in HCWs. In 2005, the WHO reported 66,000 hepatitis B and 16,000 hepatitis C infections related to these injuries [2,4].
In 2018, Kanwugu et al. reported that around 38 million people were living with HIV infection worldwide. More than half of the cases were in Africa, while only 2.2 million lived in Europe and North America [5]. HIV cannot survive outside the bloodstream or lymphatic tissue. The virus must be transmitted through direct biofluids and contaminated sharp materials or medical devices to infect an individual. The infectiousness depends on the virus type, viral load in the biofluids, and host susceptibility. The risk of seroconversion after an accident with a sharp device contaminated with HIV biofluids is around 0.3% [6,7]. In a recent online survey conducted among 460 HCWs in the United States, 59% (n=263) reported experiencing SI; however, only approximately half of them (n=143) involved WPAs [8]. However, other authors have stated that 25-90% of WPAs remain unreported [9].
Nowadays, the natural history of HIV infection is well-understood, and its study constitutes a dynamic aspect of public health science. Nevertheless, HCWs' apprehension about contracting the virus remains a significant concern that needs to be addressed by health systems worldwide. As per the Occupational Safety and Health Administration (OSHA), WPAs have a significant impact on workers' quality of life and they lead to financial challenges for healthcare institutions [10,11]. The present research aims to report the prevalence rate of seroconversion following HIV exposure through sharp devices and contact with biofluids among HCWs.
Materials and methods
A cross-sectional study was performed using the database of the Department for Prevention and Health Promotion at the Western National Medical Center after obtaining approval from institutional authorities (R-2024-1301-092/COFEPRIS 17 CI 14 039 114/CONBIOETICA 14 CEI 2019 01 23). This medical facility is one of the biggest at the national level and caters to 17,000,000 users in the west of Mexico. The information in the database included HCW accidents from 2015 to 2024. The sampling method used was non-probabilistic and convenience-based, with no sample size calculation performed. The eligibility criteria for the study included the entire population of cases who sought medical attention (n=514) after a work-related sharp injury or biofluids exposure. Before data analysis, any variables that could potentially identify the HCWs were removed; instead, cases were labeled with a consecutive number for internal identification.
Descriptive analysis was performed using central tendency measures, frequencies, and percentages. Prevalence was calculated using the number of WPAs over the total number of HCWs in the medical facility per time period per 1000s. No inferential statistics were used in the present research. Data was analyzed using Excel 365® (Microsoft Corporation, Redmond, WA) and OpenEpi (Open-Source Epidemiologic Statistics for Public Health, Bill and Melinda Gates Foundation, Emory University, Atlanta, GA).
Results
A total of 514 HCWs were included in the study, all of whom reported a previous history of SI or biofluid exposure in the workplace. Of these, 58% were females (n=299), while the remaining participants were males. The mean age of the cohort was 34.4 years (SD: 7.53, 95% CI: 33.7-35.0). The mean age among females was 34.5 years (SD: 7.3, 95% CI: 33.6-35.3), while it was 34.2 years among males (SD: 7.7, 95% CI: 33.1-35.2). The difference in the mean was calculated using a parametric test (t-test), yielding a value for equal variance of 0.3 (-1.01-1.6) with a p-value for equality of variance >0.05.
Medical devices are constantly in contact with patients and HCWs, posing the risk of WPA and transmission of bloodborne infections. Among the various types of WPA, SIs were the most common, followed by biofluid exposure. Further details are presented in Table 1.
Table 1. Sharp injuries and biofluid exposure incidence among healthcare workers by category .
| Healthcare worker category and accident type | Number of accidents (n=514) | Accidents (%) |
| Residents | 178 | 34.8% |
| Sharp injury | 139 | 27.3% |
| Biofluid exposure | 39 | 7.5% |
| Nurses | 155 | 30.3% |
| Sharp injury | 140 | 27.2% |
| Biofluid exposure | 15 | 3.1% |
| Maintenance and general services | 83 | 16.1% |
| Sharp injury | 81 | 15.7% |
| Biofluid exposure | 2 | 0.4% |
| Chemists and laboratorists | 44 | 8.5% |
| Sharp injury | 43 | 8.3% |
| Biofluid exposure | 1 | 0.2% |
| Attending physicians | 43 | 8.2% |
| Sharp injury | 38 | 7.3% |
| Biofluid exposure | 5 | 0.9% |
| Technicians | 6 | 1.0% |
| Sharp injury | 3 | 0.5% |
| Biofluid exposure | 3 | 0.5% |
| Other personnel | 4 | 0.8% |
| Sharp injury | 4 | 0.8% |
| No data (ND) | 1 | 0.2% |
| Sharp injury | 1 | 0.2% |
| Total | 514 | 100% |
As can be seen, residents were the most affected HCW category regarding accidents, accounting for 34.8% of accidents (n=178). Among the observed cases, about 7% of HCWs experienced an accident related to HIV exposure, with SI being the most common among residents. Table 2 displays the categories and percentages of WPAs related to HIV exposure.
Table 2. Sharp injuries and biofluid exposure incidence related to HIV among healthcare workers by category.
| Healthcare worker category and accident type | Number of healthcare workers with exposure related to HIV (n=36) | Healthcare workers with exposure related to HIV (%) |
| Resident | 21 | 58.3% |
| Sharp injury | 12 | 33.3% |
| Biofluid exposure | 9 | 25.0% |
| Nurses | 11 | 30.6% |
| Sharp injury | 9 | 25.0% |
| Biofluid exposure | 2 | 5.6% |
| Attending physicians | 3 | 8.3% |
| Sharp injury | 3 | 8.3% |
| Other personnel | 1 | 2.8% |
| Sharp injury | 1 | 2.8% |
| Total | 36 | 100% |
Post-exposure prophylaxis (PEP) was implemented as per the recommendation by the WHO and the International Labour Organization (ILO) in 2007. Initially, the recommended regimen consisted of zidovudine and lamivudine [12]. However, the currently recommended regimen consists of bictegravir, emtricitabine, and tenofovir [13,14]. Throughout the nine-year study period, three different regimens were used in HCWs exposed to HIV-contaminated medical devices or biofluids (Table 3).
Table 3. Post-exposure prophylactic treatment types and schemes applied to healthcare workers by gender .
| Prophylactic treatment type | Treatment scheme | Female | Male | Total by gender | Seroconversion (%) |
| Single dosage | Bictegravir + emtricitabine + tenofovir | 11 | 11 | 22 | 0% |
| Complete prophylactic treatment | Emtricitabine + tenofovir and lopinavir + titonavir | 2 | 8 | 10 | 0% |
| Emtricitabine + tenofovir | 3 | 1 | 4 | 0% | |
| Bictegravir + emtricitabine + tenofovir | 8 | 14 | 22 | 0% | |
| Untreated | N/A | 276 | 180 | 456 | N/A |
| Total | n=300 | n=214 | n=514 | 0% |
As shown in Table 3, none of the HCWs exposed to HIV through sharp injuries or direct contact with biofluids developed seroconversion during the one-year follow-up period (five tests). Based on the results, the percentage of seroconversion after HIV exposure is zero if PEP is administered promptly and per international guidelines. The overall prevalence of WPAs was 13.4 per 100 HCWs. For HCWs exposed to HIV through SI or biofluids, the prevalence was 0.9 per 100 HCWs.
As mentioned, the total number of WPAs was 514. The most common medical device associated with SI were hypodermic needles, accounting for 56% (n=292). Regarding biofluid exposure, blood was the most common medium, with 7.6% of cases (n=39). Table 4 provides further details on other medical devices associated with WPAs.
Table 4. Injuries among healthcare workers by type of medical supply and biofluids.
| Type of medical supply and biofluids | Number of injuries (n=514) | Injuries (%) |
| Hypodermic needle | 292 | 56.8% |
| Lancet | 49 | 9.5% |
| Blood | 39 | 7.6% |
| Suture needle | 31 | 6.0% |
| Scalpel blade | 28 | 5.4% |
| Biofluid not specified | 16 | 3.1% |
| Medical knife | 16 | 3.1% |
| Glass medical supply | 14 | 2.8% |
| Other medical devices | 14 | 2.8% |
| Biopsy needle | 6 | 1.2% |
| Other biofluids | 6 | 1.2% |
| Other needles | 3 | 0.6% |
| Total | 514 | 100% |
A medical facility is a field ground with several factors posing risks for WPAs. It might be expected that surgery rooms should have the highest frequency of accidents; the present study found that hospitalization rooms were the most common location for accidents, accounting for 35.4% (n=182) of cases, followed by surgery rooms with 19% (n=98). Figure 1 illustrates the details of accidents occurring in various areas within the medical facility.
Figure 1. Workplace accidents in different areas of the medical facility.
Discussion
Viral bloodborne infections are a major concern among HCWs. Seroconversion in HCWs not only diminishes the quality of life but also leads to workplace absences and high costs for both public and private health services. Hence, prevention through effective implementation of PEP protocols is paramount [10,11]. As evidenced in the results section, PEP was successful in preventing seroconversion in 100% of cases. Several factors contribute to the effectiveness of a PEP program [13,14]. Timely notification is the inflection point. On the other hand, health systems must acknowledge the existence of dark numbers, which have the potential to underestimate infection rates. Other aspects of successful PEP implementation include the availability of medication in every healthcare facility, prompt initiation of treatment, a well-structured follow-up plan, and adherence to treatment regimens. Unfortunately, the absence of any of these components leaves gaps that increase the risk of seroconversion.
The medical facility where this research was conducted adheres to federal and international protocols regarding PEP. According to the CDC, HCWs should "Report the exposure to the appropriate person at work and seek medical attention immediately; PEP must be started within 72 hours after an exposure, and careful practice of standard precautions can help reduce exposure while caring for patients with HIV” [15]. The reported events in the current study reflect only the exposures that were notified to the Department for Prevention and Health Promotion. As previously mentioned, more than 50% of workplace exposures are not notified [8].
The concept of "dark numbers" encompasses several contributing factors. One significant factor is the excessive administrative burden related to the event notification that discourages HCWs from adhering to protocols despite being aware of the associated risks. Red tape, characterized by excessive bureaucracy, further complicates decision-making processes and is perceived by workers as a burden. Research on this topic indicates that lower levels of red tape are associated with equity, effectiveness, and better-informed personnel [16,17]. Well-informed HCWs are cognizant of the risks involved, which enhances their performance in self-care activities within a hazardous work environment.
A meta-analysis by Hosseinipalangi et al. (2022) reported that WPAs related to SI are more common in developing countries [1]. The study, based on WHO data, found that the highest incidence rate was observed in the African region, while the lowest rates were reported in Oceania. HIV ranked as the third most common bloodborne disease associated with SI, accounting for 17% of cases, following hepatitis C and B with 21% and 18%, respectively. Hospital rooms were identified as the most common location for WPA, followed by surgery rooms [1]. These findings align with our results. Notwithstanding, some differences should be pointed out. The WHO reported that nurses experienced the highest incidence of WPA, accounting for 56.2% of cases, followed by physicians at 20.2%. In contrast, our research found an inverse result, with physicians accounting for 43% and nurses for 30.1% of WPAs. Nonetheless, similar results were observed in both studies regarding the medical devices associated with SI. As reported by Hosseinipalangi et al., needles were the most common medical tool associated with SI, which agrees with our research as well [1].
In general, WPAs are a common occurrence in medical facilities worldwide. Based on a definition coined by Rittel and Webber in 1976, WPA could become a “wicked problem”. The term implies a problem for which “no solution is found” [18]. The authors stated that despite the availability of numerous courses, training programs, practice sessions, and abundant online resources, the main challenge lies in the lack of interest and motivation among HCWs. Health systems often address only the immediate aftermath of WPA incidents, focusing on the HCWs' response after exposure rather than implementing preventive measures. However, addressing the problem in this limited manner may result in ineffective strategies without significant improvements [18]. The objective should not solely be to reduce the seroconversion rate but to tackle the root cause of WPAs. The most cost-effective and straightforward strategy is to raise awareness through education and foster a culture of prevention. By emphasizing the importance of preventive measures and instilling a proactive mindset among HCWs, the overall number of WPAs can be significantly reduced.
The present study has some important limitations. Since no HCWs developed seroconversion, inferential statistics could not be performed. However, we highlight several issues like the lack of PEP in medical facilities and several cases of WPAs not being notified. Another limitation was the number of notified cases during the first two years. It should be mentioned that in 2015 and 2016 a capacitation program started in the medical facility regarding WPAs. The prevalence of WPAs is depicted in Table 5.
Table 5. Prevalence of workplace accidents in the medical facility by year.
| Year | Prevalence per 100 healthcare workers |
| 2015 | 0.03 |
| 2016 | 0.25 |
| 2017 | 1.64 |
| 2018 | 2.14 |
| 2019 | 2.58 |
| 2020 | 1.64 |
| 2021 | 1.86 |
| 2022 | 1.86 |
| 2023 | 1.67 |
| 2024 | 0.61 |
Conclusions
Our study highlights certain negative externalities caused by a lack of interest on the part of the authorities. Issues such as dark numbers, ignorance, poor protocols, lack of information, apathy among HCWs and the authorities, and the proportion of seroconversion for every bloodborne disease portend serious problems down the line, which could lead to a snowball effect. There is no simple or unique solution to this crisis, with each health system having specific internal issues to tackle. However, implementing preventive measures and raising awareness among HCWs can contribute immensely to addressing the problem.
Disclosures
Human subjects: Consent was obtained or waived by all participants in this study. Western National Medical Center Research Committe 1301 issued approval R-2024-1301-092/COFEPRIS 17 CI 14 039 114/CONBIOETICA 14 CEI 2019 01 23.
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following:
Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work.
Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work.
Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.
Author Contributions
Concept and design: Erick Sierra-Diaz, Jorge Luis Pineda-Ramirez, Eugenio Vladimir Zavala-Sánchez, Diana Lorena Cisneros-García, Guadalupe Zarate-Leal, Eduardo Alfonso Hernández-Muñoz, Jose de Jesus Guerrero-García, Adrian Ramirez-De Arellano
Acquisition, analysis, or interpretation of data: Erick Sierra-Diaz, Jorge Luis Pineda-Ramirez, Eugenio Vladimir Zavala-Sánchez, Diana Lorena Cisneros-García, Guadalupe Zarate-Leal, Eduardo Alfonso Hernández-Muñoz, Jose de Jesus Guerrero-García, Adrian Ramirez-De Arellano
Drafting of the manuscript: Erick Sierra-Diaz, Jorge Luis Pineda-Ramirez, Eugenio Vladimir Zavala-Sánchez, Diana Lorena Cisneros-García, Guadalupe Zarate-Leal, Eduardo Alfonso Hernández-Muñoz, Jose de Jesus Guerrero-García, Adrian Ramirez-De Arellano
Critical review of the manuscript for important intellectual content: Erick Sierra-Diaz, Jorge Luis Pineda-Ramirez, Eugenio Vladimir Zavala-Sánchez, Diana Lorena Cisneros-García, Guadalupe Zarate-Leal, Eduardo Alfonso Hernández-Muñoz, Jose de Jesus Guerrero-García, Adrian Ramirez-De Arellano
Supervision: Erick Sierra-Diaz, Jorge Luis Pineda-Ramirez, Eugenio Vladimir Zavala-Sánchez, Diana Lorena Cisneros-García, Guadalupe Zarate-Leal, Eduardo Alfonso Hernández-Muñoz, Jose de Jesus Guerrero-García
References
- 1.Global, regional and national incidence and causes of needlestick injuries: a systematic review and meta-analysis. Hosseinipalangi Z, Golmohammadi Z, Ghashghaee A, et al. East Mediterr Health J. 2022;28:233–241. doi: 10.26719/emhj.22.031. [DOI] [PubMed] [Google Scholar]
- 2.CDC: Sharps safety for healthcare settings. [ Aug; 2024 ]. 2024. https://www.cdc.gov/sharpssafety/ https://www.cdc.gov/sharpssafety/
- 3.Profile of splash, sharp and needle-stick injuries among healthcare workers in a tertiary care hospital in southern India. R P, D A, Nelson SB, Venkateshvaran S, Thulasiram M. Cureus. 2023;15:0. doi: 10.7759/cureus.42671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.WHO: sharps injuries: Assessing the burden of disease from sharps injuries to health-care workers at national and local levels. [ Aug; 2024 ];Rapiti E, Prüss-Üstün A, Hutin Y. Sharp Injuries. https://www.who.int/publications/i/item/sharps-injuries-assessing-the-burden-of-disease-from-sharps-injuries-to-health-care-workers-at-national-and-local-levels. 2005 11:2005. doi: 10.1002/ajim.20230. [DOI] [PubMed] [Google Scholar]
- 5.HIV/SARS-CoV-2 coinfection: a global perspective. Kanwugu ON, Adadi P. J Med Virol. 2021;93:726–732. doi: 10.1002/jmv.26321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.HIV virology and pathogenetic mechanisms of infection: a brief overview. Fanales-Belasio E, Raimondo M, Suligoi B, Buttò S. Ann Ist Super Sanita. 2010;46:5–14. doi: 10.4415/ANN_10_01_02. [DOI] [PubMed] [Google Scholar]
- 7.Combatting the occurrence of needle-stick injuries in a medical school: why is it still an issue? Keicher F, Zirkel J, Leutritz T, König S. BMC Med Educ. 2024;24:312. doi: 10.1186/s12909-024-05309-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.National survey of sharps injuries incidence amongst healthcare workers in the United States. Yun J, Umemoto K, Wang W, Vyas D. Int J Gen Med. 2023;16:1193–1204. doi: 10.2147/IJGM.S404418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Injuries caused by sharp instruments among healthcare workers--international and Polish perspectives. Goniewicz M, Włoszczak-Szubzda A, Niemcewicz M, Witt M, Marciniak-Niemcewicz A, Jarosz MJ. https://pubmed.ncbi.nlm.nih.gov/23020050/ Ann Agric Environ Med. 2012;19:523–527. [PubMed] [Google Scholar]
- 10.United States Department of Labor: patient care unit. needlestick/sharps injuries. occupational safety and health administration. [ Aug; 2024 ]. 2024. https://www.osha.gov/etools/hospitals/patient-care-unit/needlestick-sharps-injuries https://www.osha.gov/etools/hospitals/patient-care-unit/needlestick-sharps-injuries
- 11.How much do needlestick injuries cost? A systematic review of the economic evaluations of needlestick and sharps injuries among healthcare personnel. Mannocci A, De Carli G, Di Bari V, et al. Infect Control Hosp Epidemiol. 2016;37:635–646. doi: 10.1017/ice.2016.48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Joint WHO/ILO guidelines on post-exposure prophylaxis (PEP) to prevent HIV infection: post-exposure prophylaxis to prevent HIV infection. [ Aug; 2024 ]. 2024. https://www.who.int/publications/i/item/9789241596374 https://www.who.int/publications/i/item/9789241596374
- 13.Safety and tolerability of once daily coformulated bictegravir, emtricitabine, and tenofovir alafenamide for postexposure prophylaxis after sexual exposure. Mayer KH, Gelman M, Holmes J, Kraft J, Melbourne K, Mimiaga MJ. J Acquir Immune Defic Syndr. 2022;90:27–32. doi: 10.1097/QAI.0000000000002912. [DOI] [PubMed] [Google Scholar]
- 14.Bictegravir/emtricitabine/tenofovir alafenamide for HIV-1: what is the hidden potential of this emerging treatment? Januszka JE, Drwiega EN, Badowski ME. HIV AIDS (Auckl) 2023;15:705–711. doi: 10.2147/HIV.S385877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.CDC: Preventing HIV with PEP. [ Aug; 2024 ]. 2024. https://www.cdc.gov/hiv/prevention/pep.html https://www.cdc.gov/hiv/prevention/pep.html
- 16.Incidence, knowledge, attitude and practice toward needle stick injury among health care workers in Abha City, Saudi Arabia. Alsabaani A, Alqahtani NS, Alqahtani SS, et al. Front Public Health. 2022;10:771190. doi: 10.3389/fpubh.2022.771190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Red tape, rule burden, and legitimate performance trade-offs: results from a vignette experiment. Campbell J. Public Perform Manag. 2020;43:741–765. [Google Scholar]
- 18.Dilemmas in a general theory of planning. Rittel HWJ, Webber MM. Policy Sci. 1973;4:155–169. [Google Scholar]

