Why the study?
Many patients consider CABG surgery life threatening and stressful, creating a need for nurses to understand patients' perceived stress to foster a more therapeutic ICU environment.
Postoperative CABG patients in the ICU experience overall mild stress, with pain, missing a spouse, and the presence of tubes being the highest-ranked stressors, highlighting the need for prioritized pain management and family visitation.
Stress awareness in post-CABG ICU patients merits attention; leaves open whether targeted interventions improve outcomes.
Objective: The purpose of this study was to measure the level of stress perceived by postoperative coronary artery bypass graft (CABG) patients. Coronary artery bypass graft is the most used surgical intervention to treat patients with coronary artery disease (CAD). Many patients consider CABG surgery as life threatening and stressful. There is a need for nurses to be aware of the patient’s perception of stress to create a more therapeutic environment within the intensive care unit (ICU).Methods: The research method was a quantitative descriptive survey design and descriptive statistics were used for data analysis. A convenience sampling method was used resulting in a sample size of 60 participants who had recently undergone a CABG surgical procedure. The participants completed the Intensive Care Unit Environmental Stressor Scale (ICUESS) survey.Results: The results of the ICUESS survey were analyzed according to rank order and mean with standard deviation scores for each of the 40 items. Findings showed the following stressors were ranked as the highest level of stress: “Being in pain”, “missing your husband or wife”, “having tubes in your nose or mouth”, and “only seeing family and friends for a few minutes each day”.Conclusions: The participants in this study were not highly stressed. Pain was the highest ranked stressor. Nurses need to be aware of the perceived level of stress by the postoperative CABG patients to reduce stressors and enhance recovery. The Neuman Systems Model was appropriate for this study.
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Mars et al. (2022) studied this question.
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