Stress and decision-making in resuscitation: A systematic review
| Autor: | De Villiers Smit, Mark Fitzgerald, Yesul Kim, Amit Maini, Christopher Groombridge |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Resuscitation
Stress management medicine.medical_specialty media_common.quotation_subject Decision Making MEDLINE 030204 cardiovascular system & hematology Emergency Nursing Cochrane Library Severity of Illness Index Decision Support Techniques 03 medical and health sciences Injury Severity Score 0302 clinical medicine Severity of illness Humans Medicine Meditation media_common business.industry Stressor 030208 emergency & critical care medicine Cognition Cardiopulmonary Resuscitation Family medicine Emergency Medicine Cardiology and Cardiovascular Medicine business Stress Psychological |
| Zdroj: | Resuscitation. 144:115-122 |
| ISSN: | 0300-9572 |
| DOI: | 10.1016/j.resuscitation.2019.09.023 |
| Popis: | Background During resuscitation decisions are made frequently and based on limited information in a stressful environment. Aim This systematic review aimed to identify human factors affecting decision-making in challenging or stressful situations in resuscitation. The secondary aim was to identify methods of improving decision-making performance under stress. Methods The databases PubMed, EMBASE and The Cochrane Library were searched from their commencement to the 13th of April 2019. MeSH terms and key words were combined (Stress* OR “human factor”) AND Decision. Articles were included if they involved decision makers in medicine where decisions were made under challenging circumstances, with a comparator group and an outcome measure relating to change in decision-making performance. Results 22,368 records in total were initially identified, from which 82 full text studies were reviewed and 16 finally included. The included studies ranged from 1995 to 2018 and included a total of 570 participants. The studies were conducted in several different countries and settings, with participants of varying experience and backgrounds. Of the 16 studies, 5 were randomised controlled trials, 3 of which were deemed to have a high risk of bias. The stressors identified were (i) illness severity (ii) socio-evaluative, (iii) noise, (iv) fatigue. The mitigators identified were (i) cognitive aids including checklists, (ii) stress management training and (iii) meditation. Conclusions Human factors contributing to decision-making during resuscitation are identified and can be mitigated by tailored stress training and cognitive aids. Understanding these factors may have implications for clinician education and the development of decision-support tools. |
| Databáze: | OpenAIRE |
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