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Factors affecting the accuracy of chest compression depth estimation

OBJECTIVE: We aimed to estimate the accuracy of visual estimation of chest compression depth and identify potential factors affecting accuracy. METHODS: This simulation study used a basic life support mannequin, the Ambu man. We recorded chest compression with 7 different depths from 1 to 7 cm. Each...

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Detalles Bibliográficos
Autores principales: Kang, Jung Hee, Cha, Won Chul, Chae, Minjung Kathy, Park, Hang A, Hwang, Sung Yeon, Jin, Sang Chan, Lee, Tae Rim, Shin, Tae Gun, Sim, Min Seob, Jo, Ik Joon, Song, Keun Jeong, Rhee, Joong Eui, Jeong, Yeon Kwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Emergency Medicine 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052833/
https://www.ncbi.nlm.nih.gov/pubmed/27752560
http://dx.doi.org/10.15441/ceem.14.006
Descripción
Sumario:OBJECTIVE: We aimed to estimate the accuracy of visual estimation of chest compression depth and identify potential factors affecting accuracy. METHODS: This simulation study used a basic life support mannequin, the Ambu man. We recorded chest compression with 7 different depths from 1 to 7 cm. Each video clip was recorded for a cycle of compression. Three different viewpoints were used to record the video. After filming, 25 clips were randomly selected. Health care providers in an emergency department were asked to estimate the depth of compressions while watching the selected video clips. Examiner determinants such as experience and cardiopulmonary resuscitation training and environment determinants such as the location of the camera (examiner) were collected and analyzed. An estimated depth was considered correct if it was consistent with the one recorded. A multivariate analysis predicting the accuracy of compression depth estimation was performed. RESULTS: Overall, 103 subjects were enrolled in the study; 42 (40.8%) were physicians, 56 (54.4%) nurses, and 5 (4.8%) emergency medical technicians. The mean accuracy was 0.89 (standard deviation, 0.76). Among examiner determinants, only subjects’ occupation and clinical experience showed significant association with outcome (P=0.03 and P=0.08, respectively). All environmental determinants showed significant association with the outcome (all P<0.001). Multivariate analysis showed that accuracy rate was significantly associated with occupation, camera position, and compression depth. CONCLUSIONS: The accuracy rate of chest compression depth estimation was 0.89 and was significantly related with examiner’s occupation, camera view position, and compression depth.