Research approvals iceberg: helping it melt away
Simon E Kolstoe1, David Carpenter2
1School of Health Sciences and Social Work, University of Portsmouth, Portsmouth, PO1 2UP, UK. simon.kolstoe@port.ac.uk.
BMC Medical Ethics
|December 25, 2019
Summary
The UK's health research regulatory system faces criticism for its complexity. However, a new analysis suggests this complexity arises from conflating ethics review with governance and funding, not just ethics approval.
Area of Science:
- Health research regulation
- Research ethics and governance
Background:
- Critique of the UK health research regulatory environment by Petrova and Barclay.
- Highlighting the significant number of professionals (89) required for a single "low-key" study approval.
Discussion:
- Authors, experienced in NHS research ethics, share frustration with the UK regulatory process.
- Argue Petrova and Barclay's analysis is misleading by conflating research ethics with governance and funding.
- Emphasize the need to distinguish between Health Research Authority, local governance, and sponsor interactions.
Key Insights:
- The UK's health research approval process is complex and requires significant professional input.
- Misinterpretation of regulatory components can lead to inaccurate critiques of the system.
- Clearer differentiation between ethics, governance, and funding is crucial for accurate assessment.
Outlook:
- Potential for streamlining regulatory processes by clarifying distinct functions.
- Need for improved understanding and communication regarding research oversight mechanisms.
- Future improvements depend on accurately identifying and addressing specific bottlenecks in the research approval pathway.
More Related Videos
Related Concept Videos
Ethics in Research
25.3K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
25.3K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
348
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
348
Archival Research
17.0K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
17.0K
Bias in Epidemiological Studies
1.2K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.2K
Bias
7.2K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.2K
Strategies for Assessing and Addressing Confounding
323
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
323


