BackgroundPrevious research has demonstrated that trained rescuers have difficulties achieving and maintaining the correct depth and rate of chest compressions during both in and out of hospital cardiopulmonary resuscitation (CPR). Feedback on rate and depth mitigate decline in performance quality but not completely with the residual performance decline attributed to rescuer fatigue. The purpose of this study was to examine the effects of feedback (none, auditory only and visual only) on the quality of CPR and rescuer fatigue.MethodsFifteen female volunteers performed 10 minutes of 30:2 CPR in each of three feedback conditions: none, auditory only, and visual only. Visual feedback was displayed continuously in graphic form. Auditory feedback was error correcting and provided by a voice assisted CPR manikin. CPR quality measures were collected using SkillReporter® software. Blood lactate (mmol/dl) and perceived exertion served as indices of fatigue. One-way and two way repeated measures analyses of variance were used with alpha set a priori at 0.05.ResultsVisual feedback yielded a greater percentage of correct compressions (78.1 ± 8.2%) than did auditory (65.4 ± 7.6%) or no feedback (44.5 ± 8.1%). Compression rate with auditory feedback (87.9 ± 0.5 compressions per minute) was less than it was with both visual and no feedback (p < 0.05). CPR performed with no feedback (39.2 ± 0.5 mm) yielded a shallower average depth of compression and a lower percentage (55 ± 8.9%) of compressions within the accepted 38-50 mm range than did auditory or visual feedback (p < 0.05). The duty cycle for auditory feedback (39.4 ± 1.6%) was less than it was with no feedback (p < 0.05). Auditory feedback produced lower lactate concentrations than did visual feedback (p < 0.05) but there were no differences in perceived exertion.ConclusionsIn this study feedback mitigated the negative effects of fatigue on CPR performance and visual feedback yielded better CPR performance than did no feedback or auditory feedback. The perfect confounding of sensory modality and periodicity of feedback (visual feedback provided continuously and auditory feedback provided to correct error) leaves unanswered the question of optimal form and timing of feedback.
There are approximately 3.1 million nurses in the Unites States (U.S. Census Bureau, 2016), and approximately 8% of them experience substance use disorders (Kunyk, 2015). Nurses with impaired practice are referred to peer assistance programs as they seek rehabilitation. As of 2016, 348 nurses in Texas Peer Assistance Program for Nurses were actively participating in the program for substance-abuse-related offenses. Over the last 6 years (2010Y2016), 1,553 nurses were referred to Texas Peer Assistance Program for Nurses specifically for substanceabuse-related problems. These represent 2% of the population of nurses in Texas. The average age of participants was 40.1 years. Women represented 75% of participants, and 76% were registered nurses. About 41% successfully completed the program without relapsing, and 32% reported at least one relapse. Varieties of drugs were abused including prescription drugs and illegal drugs. Opioids were the most frequently abused class of drugs, followed by alcohol and stimulants. Most nurses obtained their drugs by diverting from patients. Contrary to what is in the literature, nurses working in long-term care, medicalYsurgical units, and home health care had the highest prevalence of impaired practice. Psychiatric comorbidity was not significantly associated with relapse, but self-report status was significantly associated with gender, age category, license type, relapse, and drug of choice. There was a significant inverse relationship between time it takes to enroll and number of abstinent days. Men were also more likely to be employed while in the program.
Relapse is the unauthorized use of any mind-altering substance, prescribed or not, after an individual has entered treatment for substance use (Darbro, 2011). Among nurses with impaired practice, the 5-year relapse rate is estimated at about 40% (Zhong, Kenward, Sheets, Doherty, & Gross, 2009), and the risk of relapse is highest in the first year of recovery (Clark & Farnsworth, 2006). Many factors influence susceptibility to relapse among nurses including presence of psychiatric comorbidities (Schellekens, de Jong, Buitelaar, & Verkes, 2015), history of criminal background (Zhong et al., 2009), spirituality and religiosity (Allen & Lo, 2010), and receiving prelicensure education in the United States (Waneka, Spetz, & Keane, 2011). The purpose of this study was to examine the correlates and predictors of relapse among nurses and to establish at what point they are most susceptible to relapse. This study was a retrospective secondary data analysis of nurses in Texas with impaired practice. The total number of participants was 1,553. The time it takes participants to enroll in a peer assistance program is negatively associated with length in program (p < .001). Conversely, there is a strong, positive, significant relationship between the number of days abstinent and the length in program (p < .001). More men compared with women (p = .037) were likely to be employed while participating in the program. Finally, participants who were referred for substance use disorders alone had 55% less risk of relapse. Those who used alcohol as their primary drug of choice had 1.7 times higher risk of relapse.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.