Cardiopulmonary resuscitation quality: Widespread variation in data intervals used for analysis
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. Fro...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/47615 |
| _version_ | 1848757882058702848 |
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| author | Talikowska, M. Tohira, Hideo Bailey, P. Finn, Judith |
| author_facet | Talikowska, M. Tohira, Hideo Bailey, P. Finn, Judith |
| author_sort | Talikowska, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 5minutes. 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 one minute 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 standardized 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. |
| first_indexed | 2025-11-14T09:35:09Z |
| format | Journal Article |
| id | curtin-20.500.11937-47615 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:35:09Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-476152017-09-13T15:34:02Z Cardiopulmonary resuscitation quality: Widespread variation in data intervals used for analysis Talikowska, M. Tohira, Hideo Bailey, P. Finn, Judith 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 5minutes. 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 one minute 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 standardized 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. 2016 Journal Article http://hdl.handle.net/20.500.11937/47615 10.1016/j.resuscitation.2016.02.008 fulltext |
| spellingShingle | Talikowska, M. Tohira, Hideo Bailey, P. Finn, Judith Cardiopulmonary resuscitation quality: Widespread variation in data intervals used for analysis |
| title | Cardiopulmonary resuscitation quality: Widespread variation in data intervals used for analysis |
| title_full | Cardiopulmonary resuscitation quality: Widespread variation in data intervals used for analysis |
| title_fullStr | Cardiopulmonary resuscitation quality: Widespread variation in data intervals used for analysis |
| title_full_unstemmed | Cardiopulmonary resuscitation quality: Widespread variation in data intervals used for analysis |
| title_short | Cardiopulmonary resuscitation quality: Widespread variation in data intervals used for analysis |
| title_sort | cardiopulmonary resuscitation quality: widespread variation in data intervals used for analysis |
| url | http://hdl.handle.net/20.500.11937/47615 |