ABSTRACT
INTRODUCTION: Construct a numerical index of non-pharmacological preventive measures against Sars-CoV-2 based on the experience of Parc de Salut Mar (PSMar), a healthcare institution in Barcelona. METHOD: The construction of the index was carried out in three phases. The identification and selection of the variables to be included based on semi-structured interviews with key informants and documental revision. The definition of the dimensions (consisting of one or more variables) and, finally, the operationalisation of the index on the basis of these dimensions. The index was estimated in the PSMar, and in its two main centres, the Hospital del Mar and the Hospital de la Esperanza. RESULTS: Twenty-one variables were identified and categorised into six dimensions: personal protective equipment, individual organisational measures, collective organisational measures, epidemiological surveillance measures, training activities and protocol development. During the first wave, the Hospital del Mar index remained above the value obtained at the Hospital de la Esperanza, while in the second wave both indexes showed similar values until week 36, when the Hospital del Mar index began to show higher values. These oscillations were mainly due to the dimensions of personal protective equipment and training activities. CONCLUSIONS: The proposed index shows the difficulties in implementing the various non-pharmacological preventive measures in the first weeks of the pandemic. This tool can be useful for evaluating the activities carried out by the Occupational Risk Prevention Services in the face of the pandemic, with the appropriate adaptations to the reality of each individual company.
Introducción: Construir un índice numérico con las medidas preventivas no farmacológicas frente a Sars-CoV-2 a partir de la experiencia del Parc de Salut Mar (PSMar), una institución sanitaria en Barcelona. Método: La construcción del índice se ha realizado en tres fases. La identificación y selección de las variables incluidas a partir de entrevistas semiestructuradas a informantes clave y la revisión documental. La definición de las dimensiones (con una o más variables) y la operacionalización del índice (a partir de las dimensiones). Se ha estimado el índice en el PSMar, y en sus dos principales centros, el Hospital del Mar y el Hospital de la Esperanza. Resultados: Se identificaron 21 variables, clasificadas en 6 dimensiones: equipos de protección individual, medidas organizativas individuales, medidas organizativas colectivas, medidas de vigilancia epidemiológica, actividades formativas, y elaboración de protocolos. Durante la primera ola, el índice en el Hospital del Mar se mantuvo por encima del valor obtenido en el Hospital de la Esperanza; en la segunda ola ambos índices presentaron valores similares hasta la semana 36, cuando el hospital del Mar comenzó a presentar valores superiores. Estas oscilaciones se debieron principalmente a los equipos de protección individual y actividades formativas. Conclusiones: El índice propuesto muestra las dificultades para aplicar las medidas preventivas no farmacológicas en las primeras semanas de la pandemia. Esta herramienta puede ser útil para evaluar las actividades desarrolladas frente a la pandemia por parte de los Servicios de Prevención de Riesgos Laborales, con las oportunas adaptaciones a la realidad de cada empresa.
Subject(s)
COVID-19 , SARS-CoV-2 , Humans , COVID-19/prevention & control , Pandemics/prevention & control , Research DesignABSTRACT
Healthcare workers have been and still are at the forefront of COVID-19 patient care. Their infection had direct implications and caused important challenges for healthcare performance. The aim of this study is to assess the impact of non-pharmacological preventive measures against COVID-19 among healthcare workers. This study is based on a dynamic cohort of healthcare workers (n = 5543) who had been hired by a Spanish hospital for at least one week during 2020. Negative binomial regression models were used to estimate the incidence rate and the rate ratio (RR) between the two waves (defined from 15 March to 21 June and from 22 June to 31 December), considering natural immunity during the first wave and contextual variables. All models were stratified by socio-occupational variables. The average COVID-19 incidence rate per 1000 worker-days showed a significant reduction between the two waves, dropping from 0.82 (CI95%: 0.73-0.91) to 0.39 (0.35-0.44). The adjusted RR was 0.54 (0.48-0.87) when natural immunity was acquired during the first wave, and contextual variables were considered. The significant reduction of the COVID-19 incidence rate could be explained mainly by improvement in the non-pharmacological preventive interventions. It is needed to identify which measures were more effective. Young workers and those with a replacement contract were identified as vulnerable groups that need greater preventive efforts. Future preparedness plans would benefit from these results.
Subject(s)
COVID-19 , COVID-19/epidemiology , COVID-19/prevention & control , Cohort Studies , Health Personnel , Humans , Models, Statistical , VaccinationABSTRACT
OBJECTIVE: To describe the characteristics of COVID-19-related episodes in healthcare workers (HCW) of two hospitals. METHODS: Prospective study of HCW with COVID-like symptoms and/or who were close contacts of confirmed COVID-19. The percentage of positive PCRs among those with symptoms was calculated, and symptom's positive predictive value and negative predictive value. The characteristics of contacts were described, as well as the secondary clinical attack rate. RESULTS: We registered 1222 episodes of HCW with COVID-like symptoms; 340 (27.8%) had a positive PCR. In 885 episodes, a HCW was a close contact of a confirmed case. In 45.5% of these, the HCW had contact with another HCW. The secondary clinical attack rate of contacts of HCW was 14.5%. CONCLUSION: We found a high prevalence of disease and transmission between HCW during the first wave of the SARS-CoV-2 pandemic.