Knowledge, attitudes, and psychosocial impacts among Brazilian Pediatric Dentists during COVID-19 pandemic.
Carolina Paes TorresElisângela Aparecida da Silva LizziMaria Cristina BorsattoPaulo Nelson FilhoAndiara De RossiKranya Victoria Diaz-SerranoAldevina Campos Freitas de BarrosFrancisco Wanderley Garcia de Paula E SilvaFabrício Kitazono de CarvalhoClara Marina Pereira Cavalcanti SilvaLéa Assed Bezerra da SilvaMarília Pacífico LucisanoAlexandra Mussolino de QueirozPublished in: Brazilian oral research (2022)
In this study, we evaluated the knowledge, attitudes, and psychosocial impacts among Brazilian pediatric dentists during the COVID-19 pandemic. A cross-sectional study with primary data collection was carried out using an online structured questionnaire. Data were submitted to descriptive analysis by using absolute and relative frequencies. A chi-square test was used for association analysis and log-linear regression models to estimate the prevalence ratio (5%). The population comprised mostly women and knowledge regarding COVID-19 was satisfactory (above 80% in most items). N95 masks and faceshields were used, albeit 64.22% reported difficulty in providing dental care to children due to the need for extra Personal Protective Equipment. Thirty eight percent provided urgency/emergency dental care, 59.78% performed invasive procedures, 59.56% used high speed handpieces, 8.44% started using cariostatics, and 6.22% introduced the use of chemomechanical caries removal agents. Fear for the future (PR = 1.21) and use of medications (for anxiety, depression, or insomnia) increased (PR = 1.16) among the ones who had wage losses. Brazilian pediatric dentists have knowledge about COVID-19, and attitudes in their clinical routines changed due the pandemic. Financial life was harmed and a negative impact of the pandemic in psychosocial aspects of workers was found.
Keyphrases
- healthcare
- coronavirus disease
- sars cov
- mental health
- high speed
- oral health
- palliative care
- emergency department
- sleep quality
- risk factors
- electronic health record
- respiratory syndrome coronavirus
- big data
- depressive symptoms
- cross sectional
- polycystic ovary syndrome
- atomic force microscopy
- current status
- public health
- type diabetes
- data analysis
- mass spectrometry
- machine learning
- neural network
- pregnancy outcomes
- breast cancer risk