Exposición al SARS-CoV-2 y la percepción del riesgo de los trabajadores en entornos no sanitarios de Hong Kong, Nanjing y Wuhan: Un estudio cualitativo multisitio

Autores/as

DOI:

https://doi.org/10.18041/2665-427X/ijeph.2.10409

Palabras clave:

COVID-19, trabajadores, estudio cualitativo, evaluación del riesgo, riesgo, percepción del riesgo, seguridad en el trabajo

Resumen

Introducción: Comprender la percepción del riesgo que condiciona conductas de protección de la salud es fundamental para la prevención.

Objetivo: Clasificar el patrón del riesgo de exposición de los trabajadores al SRAS-CoV-2 y su asociación con la percepción del riesgo entre los trabajadores no sanitarios.

Métodos: Estudio cualitativo multisitio. Realizamos entrevistas en profundidad y minigrupos de discusión con empleados, personal directivo y autoempleados de Hong Kong (n=87), Nanjing (n=60) y Wuhan (n=60) -junio 2020-marzo 2021-. Los audios se transcribieron y clasificaron por temas con enfoque de la teoría fundamentada.

Resultados: Se identificaron siete tipos de patrón de exposición (Tipo A-G) al riesgo potencial. Las percepciones de riesgo disminuyeron entre trabajadores de tipo A que trabajaban en oficina y sin contacto con clientes y aumentaron entre trabajadores preocupados por características asintomáticas del SAR-CoV-2, contacto diario con multitudes, comportamientos antihigiénicos de clientes y uso de transporte público para ir al trabajo. La sensación de seguridad por aplicación y cumplimiento de medidas de seguridad y la confianza en el gobierno fue más frecuente en Nanjing y Wuhan.

Conclusiones: Se hallaron variaciones en las percepciones del riesgo, influidas por factores como pautas de trabajo y medidas de seguridad. Fueron comunes la confianza en el gobierno y la preocupación por los contactos internacionales. Se requieren intervenciones específicas, apoyo a la salud mental y políticas integradoras para abordar las disparidades en salud laboral y promover la seguridad en el lugar de trabajo.

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Referencias

Johns Hopkins University of Medicine. COVID-19 Dashboard: Johns Hopkins University of Medicine. Available from: https://coronavirus.jhu.edu/map.html

Jayaweera M, Perera H, Gunawardana B, Manatunge J. Transmission of COVID-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy. Environ Res. 2020;188: 109819. doi: 10.1016/j.envres.2020.109819

Zhang R, Li Y, Zhang A, Wang Y, Molina M. Identifying airborne transmission as the dominant route for the spread of COVID-19. Proc Natl Acad Sci U S A. 2020; 117(26): 14857-14863. doi: 10.1073/pnas.2009637117.

Blake H, Bermingham F, Johnson G, Tabner A. Mitigating the psychological impact of COVID-19 on healthcare workers: a digital learning package. Int J Environ Res Public Health. 2020;17(9): 2997. doi: 10.3390/ijerph17092997.

Garcia GLR, Jones AE, Anderson TN, Fisher CL, Seeley KML, Beeson EA, et al. Facial protection for healthcare workers during pandemics: a scoping review. BMJ Glob Health. 2020;5(5): e002553. doi: 10.1136/bmjgh-2020-002553.

Shah ASV, Wood R, Gribben C, Caldwell D, Bishop J, Weir A, et al. Risk of hospital admission with coronavirus disease 2019 in healthcare workers and their households: nationwide linkage cohort study. BMJ. 2020; 371: m3582. doi: 10.1136/bmj.m3582

Chen YH, Glymour M, Riley A, Balmes J, Duchowny K, Harrison R, et al. Excess mortality associated with the COVID-19 pandemic among Californians 18-65 years of age, by occupational sector and occupation: March through November 2020. PLoS One. 2021;16(6):e0252454. 10.1371/journal.pone.0252454.

Lan FY, Wei CF, Hsu YT, Christiani DC, Kales SN. Work-related COVID-19 transmission in six Asian countries/areas: A follow-up study. PLoS One. 2020;15(5):e0233588. doi: 10.1371/journal.pone.0233588.

Mutambudzi M, Niedwiedz C, Macdonald EB, Leyland A, Mair F, Anderson J, et al. Occupation and risk of severe COVID-19: prospective cohort study of 120 075 UK Biobank participants. Occup Environ Med. 2020;78(5):307-14. doi: 10.1136/oemed-2020-106731.

Baker MG, Peckham TK, Seixas NS. Estimating the burden of United States workers exposed to infection or disease: A key factor in containing risk of COVID-19 infection. PLoS One. 2020;15(4):e0232452. doi: 10.1371/journal.pone.0232452.

Bui D, McCaffrey K, Friedrichs M, LaCross N, Lewis N, Sage K, et al. Racial and ethnic disparities among COVID-19 cases in workplace outbreaks by industry sector — Utah, March 6–June 5, 2020. MMWR Morbidity and Mortality Weekly Report. 2020; 69(33);1133–1138. DOI: 10.15585/mmwr.mm6933e3

European Centre for Disease Prevention and Control. COVID-19 Clusters and Outbreaks in Occupational Settings in the EU/EEA and the UK. Stockholm: ECDC; 2020.

Koh D. Occupational risks for COVID-19 infection. Occup Med (Lond). 2020;70(1):3-5. doi: 10.1093/occmed/kqaa036.

World Health Organization. COVID-19: Occupational health and safety for health workers: interim guidance. World Health Organization. WHO; 2021.

Occupational Safety and Health Administration (OSHA). COVID-19 - Hazard Recognition. U.S. Department of Labor; s. f. Available from: https://www.osha.gov/coronavirus/hazards

European Agency for Safety and Health at Wok. COVID-19: Back to the workplace - Adapting workplaces and protecting workers. EU-OSHA; 2020. Available from: https://osha.europa.eu/en/publications/covid-19-back-workplace-adapting-workplaces-and-protecting-workers

Safe Work Australia. COVID-19 Information for workplaces; 2022. Available from: https://covid19.swa.gov.au/covid-19-information-workplaces

Brug J, Aro AR, Richardus JH. Risk perceptions and behaviour: towards pandemic control of emerging infectious diseases: international research on risk perception in the control of emerging infectious diseases. Int J Behav Med. 2009;16(1):3. doi: 10.1007/s12529-008-9000-x

Smith RD. Responding to global infectious disease outbreaks: lessons from SARS on the role of risk perception, communication and management. Soc Sci Med. 2006;63(12):3113-23. doi: 10.1016/j.socscimed.2006.08.004.

Gaube S, Lermer E, Fischer P. The concept of risk perception in health-related behavior theory and behavior change. In: Raue M, Streicher B, Lermer E. Perceived Safety: A Multidisciplinary Perspective. Cham: Springer International Publishing; 2019. p. 101-18.

Sjoberg L, Moen B, Rundmo T. Explaining risk perception. an evaluation of the psychometric paradigm in risk perception research. Norwegian University of Science and Technology, C Rotunde Publikasjoner; 2004.

Renn O, Rohrmann B. Cross-cultural risk perception : a survey of empirical studies. Dordrecht: Kluwer; 2000.

Girma S, Agenagnew L, Beressa G, Tesfaye Y, Alenko A. Risk perception and precautionary health behavior toward COVID-19 among health professionals working in selected public university hospitals in Ethiopia. Plos One. 2020;15(10):e0241101. doi: 10.1371/journal.pone.0241101.

Puci MV, Nosari G, Loi F, Puci GV, Montomoli C, Ferraro OE. Risk perception and worries among health care workers in the COVID-19 pandemic: findings from an italian survey. Healthcare (Basel). 2020;8(4): 535. doi: 10.3390/healthcare8040535.

Qianlan Y, Liu Y, Chen A, Song X, Cai W, Guanghui D, et al. Risk perception and Emotion evaluation of Health care workers varied during different periods of COVID-19: a repeated cross-sectional research; Int J Public Health. 2021; 26: 66:613057. doi: 10.3389/ijph.2021.613057.

Krueger RA. Focus groups: a practical guide for applied research. Los Angeles: SAGE; 2014.

Nyumba OT, Wilson K, Derrick CJ, Mukherjee N. The use of focus group discussion methodology: Insights from two decades of application in conservation. Methods Ecol Evolution. 2018; 9(1): 20-32. Doi: 10.1111/2041-210X.12860

Wuhan Municipal Health Commission. The latest situation of the novel coronavirus epidemic. 2021. Available from: http://wjw.wuhan.gov.cn/ztzl_28/fk/tzgg/202106/t20210614_1720025.shtml.

Government. NM. Coronavirus Epidemic Prevention and Control Service Area; 2021. Available from: http://www.nanjing.gov.cn/zt/yqfk/index.html

Latest Situation of Coronavirus Disease (COVID-19) in Hong Kong; 2023. Available from: https://chp-dashboard.geodata.gov.hk/covid-19/en.html

Lohiniva A-L, Sane J, Sibenberg K, Puumalainen T, Salminen M. Understanding coronavirus disease (COVID-19) risk perceptions among the public to enhance risk communication efforts: a practical approach for outbreaks, Finland, February 2020. Euro Surveill. 2020;25(13): 2000317. doi: 10.2807/1560-7917.ES.2020.25.13.2000317.

Charmaz K. Qualitative interviewing and grounded theory analysis. En Gubrium JF, Holstein JS. Handbook of interview research: context and method. Thousand Oaks,CA: Sage; 2003. Pp 675-94.

Serwaa D, Lamptey E, Appiah AB, Senkyire EK, Ameyaw JK. Knowledge, risk perception and preparedness towards coronavirus disease-2019 (COVID-19) outbreak among Ghanaians: a quick online cross-sectional survey. Pan Afr Med J. 2020; 35(Suppl 2): 44. doi: 10.11604/pamj.supp.2020.35.2.22630.

Qiao S, Li Z, Liang C, Li X, Rudisill CA. Risk perception of COVID-19 and its socioeconomic correlates in the United States: A social media analysis. medRxiv. 2021; 29:2021.01.27.21250654. doi: 10.1101/2021.01.27.21250654

Adams-Prassl A, Boneva T, Golin M, Rauh C. Inequality in the impact of the coronavirus shock: Evidence from real time surveys. J Public Economics. 2020;189:104245. Doi: 10.1016/j.jpubeco.2020.104245

Billingsley S, Brandén M, Aradhya S, Drefahl S, Andersson G, Mussino E. Deaths in the frontline: Occupation-specific COVID-19 mortality risks in Sweden. Stockholm Research Reports in Demography. 2020; Doi: 10.17045/sthlmuni.12816065.v2

Muellbauer J, Aron J. Measuring excess mortality: the case of England during the Covid-19 Pandemic. INET Oxford Working Paper No. 2020-11. Institute for New Economic Thinking; 2020

Rogers TN, Rogers CR, VanSant-Webb E, Gu LY, Yan B, Qeadan F. Racial disparities in COVID-19 mortality among essential workers in the United States. World Med Health Policy. 2020;12(3):311-27. doi: 10.1002/wmh3.358.

Chambers L. Data show Covid‐19 Is hitting essential workers and people of color hardest. Data for Justice Project: American Civil Liberties Union Massachusetts; 2020. Available from: https://data.aclum.org/2020/04/07/covid-19-disproportionately-affects-vulnerable-populations-in-boston/?ms_aff=MA&initms_aff=MA&ms_chan=tw&initms_chan=tw

Schumaker E. In NYC, ‘Stark Contrast’ in Covid‐19 infection rates based on education and race. ABC News. 2020. https://abcnews.go.com/Health/nyc-stark-contrast-covid-19-infection-rates-based/story?id=69920706

Kraemer MUG, Yang C-H, Gutierrez B, Wu C-H, Klein B, Pigott DM, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science. 2020;368(6490):493-7. doi: 10.1126/science.abb4218.

Tian H, Liu Y, Li Y, Wu CH, Chen B, Kraemer MUG, et al. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science. 2020;368(6491):638-42. doi: 10.1126/science.abb6105.

Ennis-McMillan MC, Hedges K. Pandemic perspectives: Responding to COVID-19. Open Anthropology. 2020; 8(1):

Reny TT, Barreto MA. Xenophobia in the time of pandemic: othering, anti-Asian attitudes, and COVID-19. Polit Groups Identit. 2022;10(2):209-32. Doi: 10.1080/21565503.2020.1769693

Yuen S, Cheng E, Or N, Grépin K, Fu K-w, Yung K-C, et al. A tale of two city-states: A comparison of the state-led vs civil society-led responses to COVID-19 in Singapore and Hong Kong. Global public health. 2021;16:1-21. DOI:10.1080/17441692.2021.1877769

Hartley K, Jarvis D. Policymaking in a low-trust state: legitimacy, state capacity, and responses to COVID-19 in Hong Kong. Policy and Society. 2020;39(3):1-21. Doi: 10.1080/14494035.2020.1783791

Zhong Y, Liu W, Lee TY, Zhao H, Ji J. Risk perception, knowledge, information sources and emotional states among COVID-19 patients in Wuhan, China. Nurs Outlook. 2021;69(1):13-21. doi: 10.1016/j.outlook.2020.08.005.

De Coninck D, d'Haenens L, Matthijs K. Perceived vulnerability to disease and attitudes towards public health measures: COVID-19 in Flanders, Belgium. Pers Individ Dif. 2020;166:110220. doi: 10.1016/j.paid.2020.110220.

Publicado

2023-11-28 — Actualizado el 2023-12-30

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Chui Lau, J. Y., Wang , D. ., Tang , J. ., Wang , S., Yi Lee, P. M., Yu Tang, N. H., Wu , T., Shen , H. ., Ji, X. ., Chen , W. ., & Ah Tse, L. (2023). Exposición al SARS-CoV-2 y la percepción del riesgo de los trabajadores en entornos no sanitarios de Hong Kong, Nanjing y Wuhan: Un estudio cualitativo multisitio. Interdisciplinary Journal of Epidemiology and Public Health, 6(2), e-10409. https://doi.org/10.18041/2665-427X/ijeph.2.10409 (Original work published 2023)

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