Milena Talikowska1, Hideo Tohira2, Paul Bailey3, Judith Finn4. 1. Prehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Midwifery and Paramedicine, Curtin University, Bentley, WA, Australia. Electronic address: milena.talikowska@postgrad.curtin.edu.au. 2. Prehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Midwifery and Paramedicine, Curtin University, Bentley, WA, Australia. 3. Prehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Midwifery and Paramedicine, Curtin University, Bentley, WA, Australia; St. John Ambulance, Western Australia, Belmont, WA, Australia; Emergency Department, St. John of God Murdoch Hospital, Murdoch, WA, Australia. 4. Prehospital, Resuscitation and Emergency Care Research Unit (PRECRU), School of Nursing, Midwifery and Paramedicine, Curtin University, Bentley, WA, Australia; St. John Ambulance, Western Australia, Belmont, WA, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Abstract
AIM: There is a growing body of evidence for the relationship between CPR quality and survival in cardiac arrest patients. We sought to describe the characteristics of the analysis intervals used across studies. METHODS: Relevant papers were selected as described in our recent systematic review. From these papers we collected information about (1) the time interval used for analysis; (2) the event that marked the beginning of the analysis interval; and (3) the minimum amount of CPR quality data required for a case to be included in the analysed cohort. We then compared this data across papers. RESULTS: Twenty-one studies reported on the association between CPR quality and cardiac arrest patient survival. In two thirds of studies data from the start of the resuscitation episode was analysed, in particular the first 5min. Commencement of the analysis interval was marked by various events including ECG pad placement and first chest compression. Nine studies specified a minimum amount of data that had to have been collected for the individual case to be included in the analysis; most commonly 1min of data. The use of shorter intervals allowed for inclusion of more cases as it included cases that did not have a complete dataset. CONCLUSION: To facilitate comparisons across studies, a standardised definition of the data analysis interval should be developed; one that maximises the amount of cases available without compromising the data's representability of the resuscitation effort.
AIM: There is a growing body of evidence for the relationship between CPR quality and survival in cardiac arrestpatients. We sought to describe the characteristics of the analysis intervals used across studies. METHODS: Relevant papers were selected as described in our recent systematic review. From these papers we collected information about (1) the time interval used for analysis; (2) the event that marked the beginning of the analysis interval; and (3) the minimum amount of CPR quality data required for a case to be included in the analysed cohort. We then compared this data across papers. RESULTS: Twenty-one studies reported on the association between CPR quality and cardiac arrestpatient survival. In two thirds of studies data from the start of the resuscitation episode was analysed, in particular the first 5min. Commencement of the analysis interval was marked by various events including ECG pad placement and first chest compression. Nine studies specified a minimum amount of data that had to have been collected for the individual case to be included in the analysis; most commonly 1min of data. The use of shorter intervals allowed for inclusion of more cases as it included cases that did not have a complete dataset. CONCLUSION: To facilitate comparisons across studies, a standardised definition of the data analysis interval should be developed; one that maximises the amount of cases available without compromising the data's representability of the resuscitation effort.
Authors: J Arturo Abraldes; Ricardo J Fernandes; Núria Rodríguez; Ana Sousa Journal: Int J Environ Res Public Health Date: 2020-09-13 Impact factor: 3.390