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Assessment of Chest Compression Quality — a systematic review
- Source :
- Disaster and Emergency Medicine Journal. 5:49-56
- Publication Year :
- 2020
- Publisher :
- VM Media SP. zo.o VM Group SK, 2020.
-
Abstract
- INTRODUCTION: High-quality chest compression (CC) is a crucial factor that determines the survival of cardiac arrest patients. Adequate quality should be featured by appropriate compression rate and depth, and full chest recoil after each compression. The ranges are strictly determined in Resuscitation Guidelines. All these parameters are interdependent. Currently, there is a need to find or develop a universal index that will enable the definition and determination of the overall quality of CCs. MATERIAL AND METHODS: A systematic review of the MEDLINE, EMBASE, COCHRANE, and GOOGLE SCHOLAR databases was performed. The authors aimed to find papers in which the quality of CC was assessed. The extracted information included measurement of the CC quality in a direct and objective manner — by analysing the depth, rate, and recoil of CC, position of the hands, duty cycle, and indirectly by evaluating chest compression fraction (CCF). Papers describing the quality of CC based on a combination of various components of the CC quality were selected for analysis. RESULTS: In total 1604 publications were obtained. Among them, 21 articles satisfied the search criteria. In most of the papers, it was suggested that compressions should have been considered as correct when they met simultaneously all quality criteria. Only three papers presented any mathematical formula that could have been used for further comparisons. CONCLUSIONS: Although many proposals have been developed, no single, universal, and commonly accepted indicator of resuscitation quality has been so far designed and subsequently applied. Further work on this subject is warranted and strongly recommended.
- Subjects :
- Emergency Medical Services
medicine.medical_specialty
Quality management
Computer science
medicine.medical_treatment
media_common.quotation_subject
MEDLINE
Data compression ratio
Mathematical formula
Critical Care and Intensive Care Medicine
Compression (physics)
Emergency Medicine
medicine
Medical physics
Fraction (mathematics)
Quality (business)
Cardiopulmonary resuscitation
media_common
Subjects
Details
- ISSN :
- 25435957 and 24514691
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Disaster and Emergency Medicine Journal
- Accession number :
- edsair.doi...........823d313f2b2b0fd9975eb1648fff2134
- Full Text :
- https://doi.org/10.5603/demj.a2020.0010