| Literature DB >> 36141946 |
Alberto Milanese1, Paolo Trerotoli2, Annarita Vestri1.
Abstract
The struggle for information and the hasty search for answers caused by the COVID-19 pandemic threatened the possibility of lowering study quality, as well as ethical committees' review standards during the outbreak. Our investigation aimed to assess the impact of COVID-19 on the quality of clinical research studies submitted to Italian Ethics Committees in the period between April and July 2020. All 91 Italian ethics committees were contacted via email in order to collect anonymized information on the type and quality of COVID-19-related studies submitted to each committee during the study period. The present study summarizes the characteristics of the 184 study applications collected, pointing out, especially, how the quality of the study population and statistical analysis are crucial variables in determining the study approval. Nevertheless, despite the need for high-quality and open scientific information, especially exacerbated by this particular historical period, only a minority of the ethics committees (20.9%) agreed to share their data; such scarce participation, beyond biasing the representativeness of the results obtained by the present study, more importantly, hinders the broader goal of creating trust between researchers and the general public.Entities:
Keywords: COVID-19 pandemic; independent ethics committees; research; surveys and questionnaire
Mesh:
Year: 2022 PMID: 36141946 PMCID: PMC9517254 DOI: 10.3390/ijerph191811673
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Italian ethics committees participation to the study.
| N. | % | |
|---|---|---|
| Italian Independent Ethics Committees | 91 | 100.0 |
| Ethics Committees Participation Answers | ||
| No answer to survey | 64 | 70.3 |
| Yes | 15 | 16.5 |
| Yes (No COVID-19 studies) | 4 | 4.4 |
| Not reachable | 8 | 8.8 |
| Study applications | 184 | 100.0 |
| Ethics Committees Contribution by Region | ||
| Lombardia | 82 | 44.6 |
| Liguria | 32 | 17.4 |
| Lazio | 17 | 9.2 |
| Puglia | 17 | 9.2 |
| Sardegna | 14 | 7.6 |
| Campania | 11 | 6.0 |
| Sicilia | 11 | 6.0 |
Study applications’ approval rate and quality of statistical methodology of the studies.
| N. | % | |
|---|---|---|
| Study applications | 184 | 100.0 |
| Committees Decision | ||
| Approved | 127 | 69.0 |
| Referred for modification | 34 | 18.5 |
| Rejected | 6 | 3.3 |
| Not reported | 17 | 9.2 |
| Statistical Analysis Description | ||
| Yes—appropriate | 135 | 73.4 |
| Yes—not appropriate | 8 | 4.3 |
| No | 41 | 22.3 |
| Sample Size Determination | ||
| No | 128 | 69.6 |
| Yes—appropriate | 46 | 25.0 |
| Yes—not appropriate | 9 | 4.9 |
| Not reported | 1 | 0.5 |
Characteristics of study applications evaluated.
| N. | % | |
|---|---|---|
| Study applications | 184 | 100.0 |
| Committees decision | ||
| Prospective | 71 | 38.6 |
| Retrospective | 46 | 25.0 |
| Cross-sectional | 23 | 12.5 |
| Experimental | 19 | 10.3 |
| Retrospective–prospective | 9 | 4.9 |
| Diagnostic | 9 | 4.9 |
| Descriptive | 6 | 3.3 |
| Not reported | 1 | 0.5 |
| Study Population | ||
| Adult | 145 | 78.8 |
| Pediatric | 22 | 12.0 |
| Healthcare professional | 12 | 6.5 |
| Other population type | 4 | 2.2 |
| Not reported | 1 | 0.5 |
| Number of centers involved | ||
| Monocentric | 112 | 60.9 |
| Multicentric | 72 | 39.1 |
| Groups creation methods | ||
| Inclusions criteria | 114 | 62.0 |
| Researcher decision | 12 | 6.5 |
| Local feasibility | 11 | 6.0 |
| Other | 8 | 4.3 |
| Randomization | 5 | 2.7 |
| Not reported | 34 | 18.5 |
| Comparison group choice | ||
| Single arm | 139 | 75.5 |
| Parallel control group | 32 | 17.4 |
| Historical control group | 9 | 4.9 |
| Not reported | 4 | 2.2 |
| Study objective | ||
| Other | 79 | 42.9 |
| Prevalence estimation | 63 | 34.2 |
| Diagnostic exams validation | 23 | 12.5 |
| Treatment efficacy | 18 | 9.8 |
| Not reported | 1 | 0.5 |
| Study outcome | ||
| Percentage estimation | 65 | 35.3 |
| Other | 53 | 28.8 |
| Mortality and survival | 25 | 13.6 |
| Quality of life | 19 | 10.3 |
| Time to heal | 7 | 3.8 |
| Therapeutic modifications | 6 | 3.3 |
| Viral load | 5 | 2.7 |
| Not reported | 4 | 2.2 |
Figure 1Forest plot showing the odds ratio of approval, and its 95% confidence interval, for each characteristic of the study protocols. When the error bars cross the vertical line, it can be concluded that there is not a statistically significant relation between decision to approve and the characteristic on the left side of the graph.