| Literature DB >> 36125636 |
V Athanassoglou1, E P O'Sullivan2, A van Zundert3,4, J J Pandit5,6,7.
Abstract
In this article we present the learning from a clinical study of airway device evaluation, conducted under the framework of the Difficult Airway Society (DAS, UK) 'ADEPT' (airway device evaluation project team) strategy. We recommend a change in emphasis from small scale randomised controlled trials conducted as research, to larger-scale observational, post-marketing evaluation audits as a way of obtaining more meaningful information.Entities:
Keywords: airway management; audit; clinical trials; research
Year: 2022 PMID: 36125636 PMCID: PMC9486783 DOI: 10.1007/s10877-022-00911-4
Source DB: PubMed Journal: J Clin Monit Comput ISSN: 1387-1307 Impact factor: 1.977
Some non-research study designs are especially relevant in airway management research
| Observational | Taking routine measurements during the course of normal clinical practice |
| Database | Retrospective or prospective analysis of anonymized patient records of outcomes of use of devices/techniques |
| Before/after | Non-randomised studies where data collected before the adoption of a new device/technique vs after is compared |
| Audit | Assessing outcomes against a local or national standard of care |
| Adverse incident | Similar to the database; the monitoring of adverse end-points with routine use of device or adoption of practice |
| Case series | Description of outcomes after use of device/technique |
| Best A vs best B | Non-randomised comparison of performance or outcomes of a group of doctors who adopt method/device A vs B |
| Post-market surveillance | Publishing the routine data after a device is brought to market |
| Survey of users | Professional surveys of user experience or preferences |
| Mathematical modelling | Secondary mathematical or statistical analysis of original data derived from patients including systematic review and meta-analysis |
| Operations management | The study of patient flows; e.g., duration of surgery, time to perform tasks |
Some principles that should guide the ethical conduct of non-research studies as in Table 1
| Intent | The primary intent should be to generate data that informs local policies or decision-making, or as technical notes, and not producing generalizable results |
| Consent | Investigators should make clear where possible that data collected in the course of routine clinical care may be used anonymously in a publication, and seek consent for this use of data |
| Database | The analysis of databases or retrospective analysis of datasets should ensure non-identifiability of participants (and the databases themselves should have adhered to relevant national ‘general data protection, GDPR’ regulations) |
| Novel techniques | Where planned in advance, consent should be sought for potential publication of non-identifiable data or descriptions of techniques that emanate from their application (see above); proposed techniques should be simple enough that permit them to be described in plain language to a patient; there should be no additional risks of the planned technique. Trusts usually have a specific policy for the introduction of novel techniques into local practice |