Skip to main content
Download PDF

Prevalence of positive TST among healthcare workers in high-burden TB setting in Peru

BMC Public Health volume 20, Article number: 612 (2020) Cite this article

Abstract

Background

Tuberculosis (TB) transmission has long been recognized as an important occupational hazard for healthcare workers (HCWs). HCWs have a 5.8% annual risk of exposure and three times greater risk of developing active TB than the general population.

Methods

We conducted an observational cross-sectional study between September 2014 and March 2015 among HCWs in a high-burden TB setting in Lima to estimate the prevalence of positive Tuberculin Skin Test (TST) and to investigate factors associated with a positive TST.

Results

Two hundred forty participants were included in the analysis; TST was administered to 190 (79.2%) while the rest were exempt due to a previous positive TST result, history of TB, or test refusal. A positive TST result was found among 56.2% of participants to whom the TST was applied (95% CI: 49.22–63.55%). When considering those who had a previous positive TST result and those with a history of TB, the prevalence of a positive TST result was 64.3% (95% CI: 57.8–70.3%). No significant differences were observed between clinical/paramedical and administrative staff in the health center. The use of N95 masks during work hours was reported by 142 (69.9%) participants. Prevalence ratios (PR) show that workers with more than 120 months as a HCW were 1.44 times more likely to be TST positive. The multivariate analysis found that HCWs with over 10 years of service were 1.52 times more likely to be TST positive.

Conclusion

This study supports previous reports that TB infection is an occupational hazard for HCWs. Prevention of TB transmission through control measures, as well as timely diagnosis of LTBI in this particular high-risk group, is critical for individual and public health.

Peer Review reports

Background

According to the World Health Organization (WHO), approximately one-quarter of the world’s population is estimated to have latent tuberculosis infection (LTBI) [1]. LTBI constitutes a major challenge for tuberculosis (TB) control due the fact that it incurs a lifetime risk of developing active TB disease. It has been estimated that 5–10% of LTBI cases will progress to active TB, typically within the first 5 years after the initial infection [2]. LTBI can be effectively treated to reduce the risk of progression to active TB by 60–90% [3].

TB transmission has long been recognized as an important occupational hazard for healthcare workers (HCWs), with a 5.8% median annual risk attributable to TB exposure [4, 5]. WHO guidelines recommend systematic screening for TB in at-risk populations including HCWs, prisoners, and immigrants from high-burden countries [3]. Traditionally, tuberculin skin testing (TST) has been widely used as a cheap diagnostic test for LTBI, but recently, interferon-gamma release assays (IGRA) have emerged as an alternative that provides greater specificity, though at a higher cost [6]. A recent systematic review estimated the prevalence of LTBI (measured by TST) in HCWs to be 51% [7], while another concluded that, when compared to the general population, the risk of LTBI was 2.27 times greater for HCWs [8].

In 2015, around 31,000 new cases of TB were registered in Peru; Lima and Callao notified 59.3% of these cases [9]. Therefore, HCWs working in these areas are exposed to more than half of the country’s TB burden. Previous studies of LTBI prevalence in Callao have revealed IGRA-positive results in 56% of HCWs [10]. Such studies have not been performed in San Juan de Lurigancho (SJL), a district of Lima with an extremely high TB prevalence compared to other districts [11]. The main objective of this study was to determine the prevalence of LTBI via TST in HCWs at SJL health centers and to identify factors associated with a positive TST result.

Methods

Study design

We conducted a cross-sectional observational study between September 2014 and March 2015 in SJL health centers, which provide primary care for almost one million people in the district.

Setting and participants

At present, no studies have addressed community LTBI prevalence in Peru despite the high prevalence of active TB in Peru (approximately 120 new cases per 100,000 inhabitants have been reported in recent years [1]) compared to other Latin American countries; in the last years, approximately 120 new cases per 100,000 inhabitants have been reported [1]. At the same time, the incidence rate of active TB among HCWs decreased from 215 cases in 2011 to 126 cases in 2015 [9]. There are approximately 660 HCWs distributed throughout 34 health centers in SJL; the study population included workers from 13 of these health centers. HCWs were defined as paid workers employed by an institution whose primary intent is to improve health [12]; they were required to be 18 years of age or older and to have been employed by the health center for at least 3 months. Participants were enrolled through convenience sampling.

Tuberculin for TST administration were provided by the Peruvian Center for Disease Control and Prevention for TB surveillance and research in SJL. All participants were interviewed before TST administration using a questionnaire developed for this study (Additional file 1); TST was not applied to workers who reported a history of TB, a previous positive TST, or declined the procedure. A case report form included information on demographic and occupational characteristics, history of TB, previous TST results, risk factors for TB, comorbidities including HIV, and previous screening procedures for active and latent TB infection.

Sample size

We used an error margin of 0.05 and an LTBI prevalence of 54% among HCWs to calculate an appropriate sample size [13]. The result of this calculation was a sample size of 243 participants (95%CI, 49–59) for the total population of 660 HCWs in SJL.

TST procedure

We performed a single-step TST using 0.1 ml [5 international units (IU)] tuberculin (Tubersol®), administered using the Mantoux method [14]. Research staff read skin reactions 48 to 72 h after TST placement. Self-reporting of results was not allowed. We considered a TST induration size of ≥10 mm in HIV-uninfected persons and a TST reaction of ≥5 mm in HIV-infected persons as positive [15]. All TST-positive HCWs were advised to be vigilant about the development of any active TB symptoms.

Statistical analyses

We entered data into an electronic database on Excel XP (Microsoft, US) and performed a descriptive analysis with frequencies and percentages. We divided participants into two groups: TST-positive and TST-negative. TST-positive included participants with a history of TB, a previous positive TST result, or a positive TST result during this study; TST-negative included participants with a negative TST result. We performed a bivariate analysis using Poisson regression with robust variance to calculate prevalence ratio (PR); we executed the multivariate analysis using variables from the bivariate analysis that were significant (p < 0.05) or known factors such as having a household TB contact, being overweight, and not using N95 masks. Analyses were carried out in Stata SE 15.1 (StataCorp, US).

Results

We enrolled 240 participants in the study, and all completed the interview. Among the 190 (79.2%) participants who were applied the TST, six did not return for the TST-result reading appointment (Response rate: 96.8%). The remaining 50 (20.8%) participants were exempt from TST application because 26 (10.8%) had a previous positive TST result, 14 (5.8%) had a history of TB, and 10 (4.2%) refused TST application (Fig. 1).

Fig. 1
figure 1

Flow diagram of participants in the study

Full size image

Most of the participants were female (80.8%) and the average age was 41.9 years (Min: 21, Max: 68). The median time working as a HCW was 120 months (IQR: 48–240) and working in the health center was 48 months (IQR: 17–168). Most participants were employed as clinical staff (47.1%), followed by administrative staff (20.4%) and paramedical staff (13.7%) (Table 1).

Table 1 Demographic characteristics of HCWs
Full size table

Regarding biosafety, 205 (85.4%) HCWs provided treatment and care to TB patients. 142 (69.9%) participants reported using N95 masks during work hours; however, only 48 (31.4%) reported use it all the time (Table 2). Concerning active tuberculosis screening, we found that routine sputum sampling and chest radiography was performed in 99 (41.3%) and 128 (53.3%) participants, respectively. 59 (24.6%) participants presented with cough for more than 2 weeks at some point within 1 year prior to the data collection, and the resulting actions taken are described in Table 3. Half of our participants (124) reported having had a TST during the last year. Most participants (85.2%) who were applied the TST agreed to take Isoniazid preventive therapy (IPT) if the result was positive.

Table 2 Tuberculosis exposure and workplace biosafety
Full size table
Table 3 Active and latent tuberculosis screening among HCWs
Full size table

Overall, 56.5% of participants (95% CI: 49.2–63.5%) had a positive TST result. The mean size of the induration was 17.2 mm (SD = 5.1) and 1.6 mm (SD = 2.8) when the TST results were positive and negative, respectively. The prevalence of a positive TST result among HCWs was 64.3% (95% CI: 57.8–70.3%) when including participants with previous positive TST results or a history of TB. Table 4 shows that greater time working as a HCW (95%CI 146.10–186.86) and greater time working in the health center (95%CI 97.28–139.88) were associated with a positive TST result. Older age was also associated with a positive TST result (95% CI 41.55–44.88). No significant differences were observed between clinical/paramedical and administrative staff in the health center.

Table 4 Comparison between TST positive and negative groups
Full size table

In the bivariate analysis, the PRs show that workers with more than 120 months as a HCW were 1.44 times more likely to be TST positive. Being overweight, having reported a household TB contact, and not using N95 masks were not significantly associated with a positive TST result. In the multivariate analysis, HCWs with over 10 years of experience were 1.52 times more likely to be TST positive when compared to the factors used in the bivariate analysis that, albeit not statistically significant, we consider to be important determinant factors for a TST positive result (Table 5). Age and time working in the health center were not included in the univariate or multivariate analysis since they are closely related to time working as a HCW, which is a more specific measure for TB exposure.

Table 5 Factors associated with TST positive result
Full size table

Discussion

Our study documented that 56.5% of the 184 health workers had a positive TST result; this prevalence rose to 64.3% when we included workers with previous positive TST results or a history of active TB disease. Both estimates are within the range expected for HCWs in low-income countries (33%) and middle-income countries (79%) [13]. Recent systematic reviews have found a prevalence of 49 and 37% with a mean active TB incidence rate of 97 new cases per 100,000 HCWs [7, 8]. In addition, our result is slightly greater than the prevalence of 56% reported in a study among HCWs in Callao using IGRA [10]. These rates depict HCWs as a population at risk of developing active TB, since more than half of them have LTBI.

Similar to our study, Soto-Cabezas et al. in Peru found a significant association between LTBI and both age and time working as a HCW [10]. Likewise, Rafiza et al. in Malaysia uncovered an increased prevalence of LTBI in employees with more than 11 years of work (OR: 3.48), and Pai et al. in India reported an association between LTBI and 10 or more years on the job, a three-fold increase in prevalence compared to those employed for less than 1 year [16, 17]. An active TB patient with smear-positive sputum will infect, on average, between 10 to 15 people every year [18]; since most people will go to health care centers as their first point of contact for diagnosis, treatment, and monitoring of TB, it is not surprising that a longer time of employment in this health care setting reflects repetitive exposure to M. tuberculosis. Such repetitive exposure is concerning since it has not only been reported that individuals have a 10% chance of progression to active disease after a single TB exposure, but also that the probability of progression is greater among individuals with 18 or more exposures [19].

Although time spent with TB patients has been shown to be a risk factor for LTBI [7, 13, 20, 21], our analyses suggested that clinical and laboratory staff were not at higher risk for LTBI than administrative workers. This lack of association between TST results and occupation contradicts previously reported findings [7]. However, the inconsistency can be explained by the fact that health centers in SJL are limited in space, so common waiting areas and rooms are in close proximity to the area assigned for daily TB treatment. Thus, levels of TB exposure may be similar for all staff, unlike in other settings such as large hospitals. It is also possible that the lack of association between TST results and occupation may be due to the staff’s exposure to either the high prevalence of TB outside of the health center or a household contact. Moreover, the observed TST positivity may have been due to TB infection during childhood or the Bacille Calmette-Guérin (BCG) vaccination given universally in Peru at birth. Most of our participants were women, which is often the case in the healthcare setting since women constitute more than half of the national healthcare workforce [12]. We found no association between gender and TST result.

The implementation of TB transmission control measures such as natural ventilation, a supply of N95 masks, and routine screening, is essential to protect HCWs and may decrease annual TB incidence by as much as 49, 27, and 81% in countries with low, intermediate, and high TB incidence, respectively [22]. Previously reported obstacles preventing the use of N95 masks identified by HCWs are heat around the face and inaccessibility to the masks [23]. Our study found that 60.3% of HCWs did not wear N95 masks because the health center failed to provide them. This inaccessibility to personal protective equipment is a flaw in TB control which must be avoided in all settings, especially in countries with high TB incidence. Nonetheless, HCWs usually only wear masks when dealing with known TB cases. Since it is not common practice to continuously wear masks, TB transmission in healthcare facilities may be due to undiagnosed cases [24].

Only half of our participants had had previous active TB screening during the last year. Though it is standard procedure for health care centers to perform these screenings annually, this study reveals that health care centers are unable to ensure TB screening for all of their workers. Furthermore, considering the high LTBI prevalence uncovered in our study, it seems unlikely that only 26 participants were exempt from TST application due to a previous positive TST result. Rather, it is more likely that HCWs overreported having been tested in the last year, instead of underreporting a positive TST. In Portugal, from a sample size of 2015 registered physicians and nurses, a survey reported that 784 (39.5%) were never screened and, of those HCWs, 741 (94.5%) were never offered screening [25]. Moreover, in China, where policies on medical TB surveillance among HCWs have not been implemented, a large study identified 124 HCWs with presumptive active TB, while noting that the screening methods and framework used were not yet optimal for the high-burden of TB in the country [26]. Accordingly, either routine or post-exposure screening procedures for HCWs should be established to ensure their health.

Even though 85.2% of participants agreed to take IPT if their result was positive, some refused the prophylaxis due to misinformation about the risk of possible adverse events and immunological reactions or belief in their own pre-existing immunity against TB. Although standards of TB care in Peru dictate that IPT must be administered to health workers and prison staff within 2 years of a positive TST result after ruling out active TB [27], studies found acceptance rates for chemoprophylaxis amongst HCWs between 65 and 84% in low TB prevalence settings [28, 29]. However, the use of IPT is debatable in settings with a high prevalence of MDR-TB, as in Peru [1], which could explain why HCWs refuse the prophylaxis and prefer close monitoring of TB symptoms for at least 2 years, as per WHO recommendations [3]. Nevertheless, education and close monitoring of active TB symptoms must be provided for all HCWs, not only those who are TST positive.

Finally, it is important to address this study’s limitations. Recall bias may have affected the participants’ responses to questions about previous indentation, TST results, or whether or not they had presented with a confirmed case of active TB. An important possible confounding factor is that we were not able to obtain participants’ full life histories prior to beginning work in the healthcare system; thus, exposure to TB could have occurred before working as a HCW, especially if they lived in SJL or another high TB burden area in Lima. Along the same lines, we cannot be sure that we received reliable information on BCG vaccination. Self-reported use of N95 masks is also not reliable, as HCWs may feel compelled to overreport its use; additionally, the survey did not ask for a quantitative measure of mask use frequency, so this variable was open to interpretation by the HCWs completing the questionnaire. Finally, the power of the study may have been lower than necessary to detect relationships between other important variables that were not statistically significant in the multivariable analysis.

Conclusion

This study supports previous reports that TB infection is an occupational hazard for HCWs. Although we were not able to identify specific areas in the health center where workers are more likely to be exposed, measures of TB control should be universally instituted throughout health centers, especially considering the potential these measures have to reduce TB incidence. The high prevalence of LTBI and its associated risk for active disease emphasizes the need for regular screening in addition to adequate TB control measures. Prevention of active TB, as well as timely diagnosis of LTBI in HCWs, is critical for ensuring individual and public health.

Availability of data and materials

All data generated or analyzed during this study is available upon reasonable request to the corresponding author.

Abbreviations

BCG:

Bacille Calmette-Guérin

CI:

Confidence interval

HCW:

Healthcare workers

HIV:

Human immunodeficiency virus

IGRA:

Interferon-gamma release assays

IPT:

Isoniazid preventive therapy

IQR:

Interquartile range

LTBI:

Latent tuberculosis infection

MDR:

Multidrug-resistant

OR:

Odds ratio

PR:

Prevalence ratio

SD:

Standard deviation

SJL:

San Juan de Lurigancho

TB:

Tuberculosis

TST:

Tuberculin skin test

WHO:

World Health Organization

References

  1. WHO. Global Tuberculosis Report 2018: World Health Organization; 2018. https://www.who.int/tb/publications/global_report/en/. Accessed 4 Mar 2019.

  2. Cardona P-J, Ruiz-Manzano J. On the nature of Mycobacterium tuberculosis-latent bacilli. Eur Respir J. 2004;24:1044–51.

    Article  Google Scholar 

  3. WHO. Guidelines on the management of latent tuberculosis infection: World Health Organization; 2015. https://www.who.int/tb/publications/ltbi_document_page/en/. Accessed 4 Mar 2019.

  4. Sepkowitz KA. Tuberculosis and the health care worker: a historical perspective. Ann Intern Med. 1994;120:71–9.

    Article  CAS  Google Scholar 

  5. Menzies D, Joshi R, Pai M. Risk of tuberculosis infection and disease associated with work in health care settings. Int J Tuberc Lung Dis. 2007;11:593–605.

    CAS  PubMed  Google Scholar 

  6. Salgame P, Geadas C, Collins L, Jones-López E, Ellner JJ. Latent tuberculosis infection--Revisiting and revising concepts. Tuberculosis. 2015;95:373–84.

    Article  Google Scholar 

  7. Apriani L, McAllister S, Sharples K, Alisjahbana B, Ruslami R, Hill PC, et al. Latent tuberculosis infection in health care workers in low and middle-income countries: an updated systematic review. Eur Respir J. 2019. https://doi.org/10.1183/13993003.01789-2018.

  8. Uden L, Barber E, Ford N, Cooke GS. Risk of Tuberculosis Infection and Disease for Health Care Workers: An Updated Meta-Analysis. Open Forum Infect Dis. 2017;4:ofx137.

    Article  Google Scholar 

  9. Alarcón V, Alarcón E, Figueroa C, Mendoza-Ticona A. Tuberculosis en el Perú: Situación epidemiológica, avances y desafíos para su control. Rev Peru Med Exp Salud Publica. 2017;34:299–310.

    Article  Google Scholar 

  10. Soto Cabezas MG, Munayco Escate CV, Chávez Herrera J, López Romero SL, Moore D. Prevalence of latent tuberculosis infection in health workers from primary health care centers in Lima, Peru. Rev Peru Med Exp Salud Publica. 2017;34:649–54.

    Article  Google Scholar 

  11. DGE. Análisis de la situación epidemiológica de la tuberculosis en el Perú: DGE; 2016. http://www.dge.gob.pe/portal/index.php?option=com_content&view=article&id=599&Itemid=204. Accessed 4 Mar 2019.

  12. WHO. The World Health Report 2006: WHO; 2006. https://www.who.int/whr/2006/whr06_en.pdf?ua=1. Accessed 5 Mar 2019.

  13. Joshi R, Reingold AL, Menzies D, Pai M. Tuberculosis among health-care workers in low- and middle-income countries: a systematic review. PLoS Med. 2006;3:e494.

    Article  Google Scholar 

  14. Schluger NW, Burzynski J. Recent advances in testing for latent TB. Chest. 2010;138:1456–63.

    Article  CAS  Google Scholar 

  15. CDC. Latent Tuberculosis Infection. A Guide for Primary Health Care Providers: CDC; 2013. https://www.cdc.gov/tb/publications/ltbi/pdf/targetedltbi.pdf. Accessed 5 Mar 2019.

  16. Pai M, Gokhale K, Joshi R, Dogra S, Kalantri S, Mendiratta DK, et al. Mycobacterium tuberculosis infection in health care workers in rural India: comparison of a whole-blood interferon gamma assay with tuberculin skin testing. JAMA. 2005;293:2746–55.

    Article  CAS  Google Scholar 

  17. Rafiza S, Rampal KG, Tahir A. Prevalence and risk factors of latent tuberculosis infection among health care workers in Malaysia. BMC Infect Dis. 2011;11:19.

    Article  Google Scholar 

  18. WHO. Global Tuberculosis Control 2009: WHO; 2009. https://apps.who.int/iris/bitstream/handle/10665/44035/9789241563802_eng.pdf;jsessionid=8E4B00649059A96A017FA6BDA123818A?sequence=1. Accessed 6 Mar 2019.

  19. Ackley SF, Lee RS, Worden L, Zwick E, Porco TC, Behr MA, et al. Multiple exposures, reinfection and risk of progression to active tuberculosis. R Soc Open Sci. 2019;6:180999.

    Article  Google Scholar 

  20. Tudor C, Van der Walt ML, Margot B, Dorman SE, Pan WK, Yenokyan G, et al. Occupational Risk Factors for Tuberculosis Among Healthcare Workers in KwaZulu-Natal, South Africa. Clin Infect Dis. 2016;62(Suppl 3):S255–61.

    Article  Google Scholar 

  21. Zwerling A, van den Hof S, Scholten J, Cobelens F, Menzies D, Pai M. Interferon-gamma release assays for tuberculosis screening of healthcare workers: a systematic review. Thorax. 2012;67:62–70.

    Article  Google Scholar 

  22. Baussano I, Nunn P, Williams B, Pivetta E, Bugiani M, Scano F. Tuberculosis among health care workers. Emerg Infect Dis. 2011;17:488–94.

    Article  Google Scholar 

  23. Honarbakhsh M, Jahangiri M, Farhadi P. Effective factors on not using the N95 respirators among health care workers: Application of Fuzzy Delphi and Fuzzy Analytic Hierarchy Process (FAHP). J Healthc Risk Manag. 2017;37:36–46.

    Article  Google Scholar 

  24. Bonifacio N, Saito M, Gilman RH, Leung F, Cordova Chavez N, Chacaltana Huarcaya J, et al. High risk for tuberculosis in hospital physicians. Peru. Emerg Infect Dis. 2002;8:747–8.

    Article  Google Scholar 

  25. Meireles JM, Gaio R, Duarte R. Factors influencing tuberculosis screening in healthcare workers in Portugal. Eur Respir J. 2015;45:834–8.

    Article  Google Scholar 

  26. Cheng S, Tollefson D, He G, Li Y, Guo H, Chai S, et al. Evaluating a framework for tuberculosis screening among healthcare workers in clinical settings, Inner Mongolia. China. J Occup Med Toxicol. 2018;13:11.

    Article  Google Scholar 

  27. MINSA. Norma Técnica de Salud Para la Atención Integral de las Personas Afectadas por Tuberculosis: MINSA; 2013. http://www.tuberculosis.minsa.gob.pe/portaldpctb/recursos/20180308083418.pdf. Accessed 7 Mar 2019.

  28. Wenger PN, Otten J, Breeden A, Orfas D, Beck-Sague CM, Jarvis WR. Control of nosocomial transmission of multidrug-resistant Mycobacterium tuberculosis among healthcare workers and HIV-infected patients. Lancet. 1995;345:235–40.

    Article  CAS  Google Scholar 

  29. Camins BC, Bock N, Watkins DL, Blumberg HM. Acceptance of isoniazid preventive therapy by health care workers after tuberculin skin test conversion. JAMA. 1996;275:1013–5.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors thank the San Juan de Lurigancho Health Network for their support. The authors also acknowledge the HCWs who participated in this study for their assistance and support. We also thank Dr. Paulo Ruiz-Grosso for his comments and feedback on the statistical analysis, and Nicola Young for her help in reviewing this manuscript.

Funding

TSTs were funded by Centro Nacional de Epidemiología Prevención y Control de Enfermedades. Ministerio de Salud. Lima, Peru. CU-G was funded by the Program for Advanced Research Capacities for AIDS in Peru (PARACAS) at Universidad Peruana Cayetano Heredia (D43TW00976301) from Fogarty International Center at the U.S. National Institute of Health (NIH).

Author information

Authors and Affiliations

  1. Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru

    Juana Sedamano, Alvaro Schwalb, Rodrigo Cachay, Carlos Zamudio, César Ugarte-Gil & Carlos Seas

  2. Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru

    César Ugarte-Gil

  3. Centro Nacional de Epidemiología Prevención y Control de Enfermedades, Ministerio de Salud, Lima, Peru

    Gabriela Soto-Cabezas & César V. Munayco

Authors
  1. Juana Sedamano
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alvaro Schwalb
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rodrigo Cachay
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Carlos Zamudio
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. César Ugarte-Gil
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Gabriela Soto-Cabezas
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. César V. Munayco
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Carlos Seas
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Concept development and study design: JS, CZ, CU-G, GS-C, CVM,; Data acquisition: JS; Data analysis and statistical support: JS, AS, RC, CU-G; Drafting of the manuscript: JS, AS, RC; Critically revised the manuscript: CZ, CU-G, GS-C, CVM, CS; All authors read and approved the final draft of the manuscript for publication.

Corresponding author

Correspondence to Carlos Seas.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Institutional Ethics Committee of Universidad Peruana Cayetano Heredia (SIDISI: 60644), and the project implementation was authorized by local authorities. All participants signed an informed consent form before the interview and the TST procedure. Participant records/information was anonymized and entered into a secure database prior to analysis.

Consent for publication

Not applicable.

Competing interests

The authors declare no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

Questionnaire (English version).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sedamano, J., Schwalb, A., Cachay, R. et al. Prevalence of positive TST among healthcare workers in high-burden TB setting in Peru. BMC Public Health 20, 612 (2020). https://doi.org/10.1186/s12889-020-08756-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-020-08756-9

Keywords

BMC Public Health

ISSN: 1471-2458

Contact us