Covid-19 Knowledge Test
An Assessment Tool for Health Educators During the Covid-19 Pandemic
Bibliographic Data
| ID | 22089360 |
|---|---|
| Authors | Lindsy J Richardson (Walden University, corresponding author), Jocelyn J Bélanger (0000-0003-3881-0335, New York University Abu Dhabi) |
| Year | 2020 |
| Volume | 8 |
| Pages | 580204-580204 |
| Publication date | 2020-11-05 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2020.580204 |
| PMID | 33251174 |
| OpenAlex | W3097605069 |
| Language | EN |
| Citations received | 4 |
| References cited | 21 |
Background: As of August 11, 2020, Coronavirus disease 2019 (COVID-19) has infected 19,936,210 persons and led to 732,499 deaths worldwide. The impact has been immense, and with no vaccine currently available, the best way to protect our communities is health education. We developed a brief COVID-19 knowledge test for health educators that can be used to assess deficits in clients' understanding of the disease. Methods: COVID-19 Knowledge Test items were developed by the research team and administered to participants. An alternate-choice item format was selected for the knowledge test, and data analysis was based on an American sample of 273 respondents. A detailed analysis of the data was conducted with classical test theory and Rasch analysis. Findings: The final instrument was found to be a unidimensional measure of COVID-19 knowledge. Results provided evidence for absolute model fit and model fit for individual items. All items included on the scale were monotonically increasing and split-half reliability was considered acceptable. Total test information revealed that the test is suitable for individuals with low to average knowledge of COVID-19. Interpretation: Rasch analysis provides support for the COVID-19 Knowledge Test to be used as an assessment tool for health educators. The final version of the test consists of 34 high-quality test items that can be administered in <10 min. Normative data and suggested cutoff scores are also provided
2019-20 coronavirus outbreak · Betacoronavirus · Biology · Coronavirus Infections · Disease · Outbreak · Pandemic · Pathology · COVID-19 and Mental Health · Health Education and Validation · Innovations in Medical Education · Medicine · Virology
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| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |