Impact of the Use of Simulated Patients in Basic First Aid Training on Laypeople Knowledge, Skills, and Self-efficacy: A Controlled Experimental Study.

BACKGROUND: First aid training is a cost-effective way to improve public health, but the most effective methods to teach first aid are currently unclear. The aim of this research was to investigate the added value of simulated patients during first aid certification trainings. METHODS: Occupational first aid trainings organized by the Belgian Red Cross between September 2018 and August 2019 were allocated to either training with a simulated patient or regular training, for the topics "stroke" and "burns." Participants' knowledge and self-efficacy related to these topics were assessed at baseline, directly after training and after 1 year. First aid skills for "stroke" and "burns" and participant satisfaction were assessed after training. Knowledge and self-efficacy were measured via a questionnaire, and skills were assessed during a practical skills test. Data were analyzed using generalized linear mixed model analyses. RESULTS: A total of 1113 participants were enrolled, 403 in the simulated patient group and 710 in the control group. First aid knowledge and self-efficacy increased strongly immediately after training. These increases did not differ between groups, nor did the level of practical skills. The simulated patient group had a significantly increased retention in first aid knowledge after 1 year, compared with control, while retention in self-efficacy did not differ. Participant satisfaction with training was similar between groups. CONCLUSIONS: Using simulated patients during occupational first aid trainings for laypeople did not improve outcomes immediately after training but did improve retention of first aid knowledge after 1 year. These results support the use of simulated patients during first aid training.

Mass gathering events: a retrospective analysis of the triage categories, type of injury or medical complaint and medical usage rates.

BACKGROUND: Adequate on-site first aid delivery at mass gatherings (MGs) is one of the cornerstones to ensure safe and healthy MGs. We investigated medical usage rates, frequency of triage categories and type of injury or medical complaint, among attendees at MGs in Belgium. METHODS: We analysed the Medical Triage and Registration Informatics System database, which includes prospectively collected person-level data regarding individuals visiting on-site posts at MGs in Belgium. MGs attended by >10 000 people and organised ≥5 times between 2009 and 2018 were included. We determined the proportion of patients in each triage category ('first aid' vs 'medical condition' vs 'medical emergency' vs 'no treatment') and each type of injury or medical complaint, and we calculated patient presentation rate (PPR) and transfer to hospital rate (TTHR). RESULTS: Twenty-eight MGs, totalling 194 events, were included involving 148 265 patient visits. 'First aid' was the most common triage category (80%, n=118 514). The need for a nurse/physician ('medical condition'), and for the treatment of life-threatening conditions ('medical emergency') was rare (8.9%, n=13 052, and 0.6%, n=860, of all patient presentations, respectively), but remarkably higher during indoor electronic dance music (EDM) events (17.8% (n=26 391) and 4.0% (n=5930), of all patient presentations, respectively). 'Skin wounds' were the most common injury category (42.4%, n=62 275). 'Respiratory problems', 'neurological problems', 'intoxication', 'heart complaints' and 'gastrointestinal complaints' were more frequent during indoor (electronic) dance, whereas 'burns', 'fracture/contusion' and 'skin wounds' were higher during outdoor music, sports events and city festivals, respectively. PPR (per 10 000 attendees) was highest for outdoor EDM and outdoor music (median 130 (IQR 79) and 129 (IQR 104), respectively). TTHR (per 10 000 attendees) was highest for indoor EDM (median 4.4 (IQR 8.5)). CONCLUSION: Medical usage rates, proportion of patients in triage and injury or medical complaint categories varied across different MG categories, suggesting opportunities for planning medical coverage at these events.

Predicting medical usage rate at mass gathering events in Belgium: development and validation of a nonlinear multivariable regression model.

BACKGROUND: Every year, volunteers of the Belgian Red Cross provide onsite medical care at more than 8000 mass gathering events and other manifestations. Today standardized planning tools for optimal preventive medical resource use during these events are lacking. This study aimed to develop and validate a prediction model of patient presentation rate (PPR) and transfer to hospital rate (TTHR) at mass gatherings in Belgium. METHODS: More than 200,000 medical interventions from 2006 to 2018 were pooled in a database. We used a subset of 28 different mass gatherings (194 unique events) to develop a nonlinear prediction model. Using regression trees, we identified potential predictors for PPR and TTHR at these mass gatherings. The additional effect of ambient temperature was studied by linear regression analysis. Finally, we validated the prediction models using two other subsets of the database. RESULTS: The regression tree for PPR consisted of 7 splits, with mass gathering category as the most important predictor variable. Other predictor variables were attendance, number of days, and age class. Ambient temperature was positively associated with PPR at outdoor events in summer. Calibration of the model revealed an R2 of 0.68 (95% confidence interval 0.60-0.75). For TTHR, the most determining predictor variables were mass gathering category and predicted PPR (R2 = 0.48). External validation indicated limited predictive value for other events (R2 = 0.02 for PPR; R2 = 0.03 for TTHR). CONCLUSIONS: Our nonlinear model performed well in predicting PPR at the events used to build the model on, but had poor predictive value for other mass gatherings. The mass gathering categories "outdoor music" and "sports event" warrant further splitting in subcategories, and variables such as attendance, temperature and resource deployment need to be better recorded in the future to optimize prediction of medical usage rates, and hence, of resources needed for onsite emergency medical care.

Best Available Evidence on Communicative First Aid Interventions by Laypeople for Preventing and Relieving Posttraumatic Stress Disorder-Related Symptomatology Following Traumatic Events.

Trauma-exposed individuals are at risk of developing mental health problems, including posttraumatic stress disorder (PTSD). As an exposed individual's friend or family member may be the first person to provide posttrauma relief, informing and training laypeople in psychosocial first aid may benefit mental health outcomes of trauma-exposed individuals. We aimed to (a) collect the best available evidence on communication as a first aid intervention in assisting individuals following traumatic events and (b) formulate practical recommendations. Systematic literature searches were conducted in three databases (March 2019). Following study selection, the extracted data were tabulated and synthesized narratively. The evidence was appraised according to the GRADE methodology and evaluated by a multidisciplinary expert panel to formulate recommendations for practice. Out of 1,724 articles, no experimental studies were identified, showing a complete lack of high-quality controlled studies on the efficacy of communicative practices. However, when lower-quality study designs were included, nine cross-sectional studies constituted the best available evidence. The studies suggested that positive communication by family members, r = -.38, aOR = 0.26, ß = -.22, p < .001-p < .05, and expressive coping by the victim, ß = -.62, p < .001, were associated with PTSD diagnosis and/or symptom severity; however, the evidence was of very low certainty. The expert panel took the methodological limitations into account when formulating weak practical recommendations. Cross-sectional studies currently provide the best possible evidence for developing guidelines on psychosocial first aid. High-quality controlled studies are needed to establish casual associations and identify the most effective interventions.