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Revista de Ciencias Médicas de Pinar del Río

versão On-line ISSN 1561-3194

Resumo

LARDOEYT-FERRER, Roberto et al. Active surveys of medical students on respiratory symptoms to diagnose COVID-19 at Carlos Manuel Portuondo Teaching Polyclinic. Rev Ciencias Médicas [online]. 2022, vol.26, n.2  Epub 01-Mar-2022. ISSN 1561-3194.

Introduction:

the university social responsibility has guaranteed the interaction of the academy with society in coping with COVID-19.

Objective:

to describe the main results of the active surveys on respiratory symptoms for the diagnosis of COVID-19 at Carlos Manuel Portuondo Teaching Polyclinic in Marianao municipality, La Habana province.

Methods:

an observational, descriptive and cross-sectional study was carried out at Carlos Manuel Portuondo Teaching Polyclinic between March and July 2020. The target group comprised 12,916 family homes and 41,673 patients allocated in this health area. The data generated by the daily surveys were used. Descriptive statistics and the estimation of the coefficient of determination (R2) were applied to conduct the analysis of data.

Results:

fourteen students participated in the active survey. A total of 35,41 % of the target group was contacted. It was obtained an overall average of 636 homes closed, with a decreasing trend (R2=0,1695). An average of 584 245 educational talks were given, with an increasing trend (R2=0,2861). The average number of people investigated increased (R2=0,3319), and a decreasing trend in the number of people with respiratory symptoms (R2=0,3941) and with the diagnosis of SARS-CoV-2 virus (R2=0,3199).

Conclusions:

the active surveys of medical students at Carlos Manuel Portuondo Teaching Polyclinic had an organizational and strategic level that guaranteed the link between the university academy and society in response to this new epidemiological emergency. The Cuban medical university as an educational institution has a social responsibility, developed with actions ruled by the scientific method and supported with the most modern technologies.

Palavras-chave : RESEARCH; COVID-19; CORONAVIRUS; SOCIAL RESPONSIBILITY; SOCIETY; EDUCATION, HIGHER; SCHOOLS, MEDICAL.

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