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Knowledge, Attitude and Practice Assessment on COVID-19 Infection: A Systematic Review Protocol (preprint)
researchsquare; 2021.
Preprint
in English
| PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-652158.v1
ABSTRACT
Background:
The coronavirus disease 2019 (COVID-19) is an emerging respiratory disease caused by a novel coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has been declared a public health emergency of international concern (PHEIC) by the World Health Organisation (WHO) on 30 January 2020. We aim to systematically review the tool used for the assessment of the knowledge, attitude, and practice (KAP) on Covid-19 infection.Methods:
We will conduct a systematic review of knowledge, attitude, and practice assessment on COVID-19 infection. The search will cover the period December 2019 to January 2021. Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Study quality will be assessed using the STROBE checklist for a cross-sectional study. Data will be analysed using descriptive statistics. The numerical outcome will be analysed using mean and standard deviation. The categorical outcome will be analysed using absolute number and percentage. The range number of items, reliability, and validity of each domain will be assessed descriptively.Discussion:
This systematic review of KAP measurement tools will provide a detailed summary of the existing tools used to assess the KAP levels towards COVID-19 and its’ reliability and validity in different settings and populations. Also, the review will provide evidence on the importance of the reliability and validity of the assessment tools in ensuring quality data from future research. Systematic Review Registration International Platform of Registered Systematic Reviews and Meta-analysis Protocols (INPLASY), number INPLASY202150039
Full text:
Available
Collection:
Preprints
Database:
PREPRINT-RESEARCHSQUARE
Main subject:
Coronavirus Infections
/
Emergencies
/
COVID-19
Language:
English
Year:
2021
Document Type:
Preprint
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