Gates, S, Lall, R, Quinn, T et al. (27 more authors) (2017) Prehospital Randomised Assessment of a Mechanical Compression Device in out of Hospital Cardiac Arrest (PARAMEDIC): a pragmatic cluster randomised trial and economic evaluation. Report. NIHR Journals Library , Health Technology Assessment, Volume 21, Issue 11. ISSN 1366-5278
Abstract
Design: Cluster randomised controlled trial. Randomisation units are ambulance and rapid response vehicles. Setting: Pre-hospital care. Target population: Patients suffering out of hospital cardiac arrest where a resuscitation attempt is appropriate. Exclusions are age under 18 years, pregnancy and traumatic cardiac arrest. Health technologies being assessed: Chest compressions given using the LUCAS (Lund University Cardiopulmonary Assistance System) mechanical compression/decompression device versus standard manual compression. Measurement of costs and outcomes: Primary outcome: survival to 30 days post cardiac arrest. Secondary outcomes: 1. survived event (survival to hospital); 2. Survived to hospital discharge; 3. survival to 3 and 12 months; 4. health related quality of life at 3 and 12 months (SF12); 5. neurological outcome at discharge from hospital (Cerebral Performance Category (CPC) score 1-2 v 3-5); 6. neurological outcome at 12 months (Mini Mental State Examination (MMSE)); 7. anxiety and depression at 12 months (Hospital Anxiety and Depression Scale (HADS)); 8. Post Traumatic Stress at 12 months (PTSD civilian checklist (PCL-C)); 9. hospital length of stay; 10. intensive care length of stay. Outcomes up to hospital admission will be reported by the attending paramedic. Survivors will be flagged at NHSCR to ensure that all deaths are notified. Follow-up visits to surviving patients wanting to take part will be carried out by a Research Nurse at 3 and 12 months. Sample size: 418 clusters; 4,344 participants. This is sufficient to detect an increase in survival to hospital discharge from 5% in the manual compression group to 7.5% in the LUCAS group. Expertise. The trial will be co-ordinated by the Warwick Medical School Clinical Trials Unit. The Unit has extensive experience of management of large-scale health care evaluations. The trial staff will include a co-ordinator, data manager, programmer, statistician and health economist, as well as paramedic research fellows who will undertake training and liaison with participating paramedics. The trial will be conducted according the Unit's Standard Operating Procedures, and managed according to the unit's usual practice. The expertise of the applicants covers all relevant areas including emergency medicine, resuscitation, intensive care, health economics, pre-hospital care, trial management and statistics.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Queen’s Printer and Controller of HMSO 2017. This work was produced by Gates et al. under the terms of a commissioning contract issued by the Secretary of State for Health. This issue may be freely reproduced for the purposes of private research and study and extracts (or indeed, the full report) may be included in professional journals provided that suitable acknowledgement is made and the reproduction is not associated with any form of advertising. Applications for commercial reproduction should be addressed to: NIHR Journals Library, National Institute for Health Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK. |
Keywords: | cardiac arrest, randomised controlled trial, cluster randomised, mechanical chest compression, cardiopulmonary resuscitation, LUCAS-2 |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Jul 2017 10:53 |
Last Modified: | 23 Jun 2023 22:09 |
Status: | Published |
Publisher: | NIHR Journals Library |
Identification Number: | 10.3310/hta21110 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102416 |