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  4. Knowledge and Perceptions about Diagnosis, Clinical Management, and Prevention of Dengue Fever among Physicians during the 2023 Outbreak: A Cross-Sectional Study in Peru

Knowledge and Perceptions about Diagnosis, Clinical Management, and Prevention of Dengue Fever among Physicians during the 2023 Outbreak: A Cross-Sectional Study in Peru

Author(s)
Julieta M. Araoz-Salinas
Brando Ortiz-Saavedra
Martín E. Reategui-Garcia
Carlos Quispe‐Vicuña
Valentina Murrieta-Ruiz
Abraham De-Los-Ríos-Pinto
Raysa M. Benito-Vargas
Lucero Sangster-Carrasco
Noelia Morocho-Alburqueque
Linda Ponce-Rosas
Jose Armando Gonzales Zamora
Date Issued
27 de agosto de 2024
Type
Article
Volume
111
Issue
5
Start Page
1082
End Page
1092
DOI
10.4269/ajtmh.23-0794
Abstract
The objective of this study was to evaluate the knowledge level and perception of dengue fever management among Peruvian physicians and to determine the factors associated with higher knowledge. We conducted an analytical cross-sectional study based on an online survey. To evaluate the factors associated with a high level of knowledge (≥70% of correct answers), we used crude (cPR) and adjusted (aPR) prevalence ratios by the Poisson regression model. Of 359 respondents (median age: 33 years; male: 56.5%), 78.8% achieved a high level of knowledge. Multivariable analysis showed an independent association with having read the Peruvian clinical practice guidelines for dengue management (aPR: 1.29; 95% CI: 1.12-1.49), having experience in treating patients (aPR: 1.32; 95% CI: 1.03-1.68), and having treated cases frequently (aPR: 1.22; 95% CI: 1.02-1.46). Residing in the eastern macroregion (aPR: 0.83; 95% CI: 0.71-0.97) was associated with a low level of knowledge. In conclusion, Peruvian physicians had a high level of knowledge about dengue fever. This was associated with having clinical experience in dengue management. However, given the low level of knowledge in the eastern macroregion, educational campaigns are necessary in this area.
Subjects

Dengue fever

Poisson regression

Medicine

Cross-sectional study...

Outbreak

Family medicine

Demography

Environmental health

Population

Immunology

Virology

Pathology

Sociology

Dengue fever

Poisson regression

Medicine

Cross-sectional study...

Outbreak

Family medicine

Demography

Environmental health

Population

Immunology

Virology

Pathology

Adult

Adult

Adult

Adult

Adult

Cross-Sectional Studi...

Cross-Sectional Studi...

Cross-Sectional Studi...

Cross-Sectional Studi...

Cross-Sectional Studi...

Dengue diagnosis

Dengue diagnosis

Dengue diagnosis

Dengue diagnosis

Dengue diagnosis

Dengue epidemiology

Dengue epidemiology

Dengue epidemiology

Dengue epidemiology

Dengue epidemiology

Dengue prevention & c...

Dengue prevention & c...

Dengue prevention & c...

Dengue prevention & c...

Dengue prevention & c...

Disease Outbreaks pre...

Disease Outbreaks pre...

Disease Outbreaks pre...

Disease Outbreaks pre...

Disease Outbreaks pre...

Female

Female

Female

Female

Female

Humans

Humans

Humans

Humans

Humans

Health Knowledge, Att...

Health Knowledge, Att...

Health Knowledge, Att...

Health Knowledge, Att...

Health Knowledge, Att...

Male

Male

Male

Male

Male

Middle Aged

Middle Aged

Middle Aged

Middle Aged

Middle Aged

Peru epidemiology

Peru epidemiology

Peru epidemiology

Peru epidemiology

Peru epidemiology

Physicians psychology...

Physicians psychology...

Physicians psychology...

Physicians psychology...

Physicians psychology...

Surveys and Questionn...

Surveys and Questionn...

Surveys and Questionn...

Surveys and Questionn...

Surveys and Questionn...

Health Sciences Medic...

Health Sciences Medic...

Health Sciences Medic...

Metrics
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