Stress Recognition Research Articles

Improving the culture of safety among healthcare workers: Integration of different instruments to gain major insights and drive effective changes.

The Safety Attitude Questionnaire (SAQ) and Manchester Patient Safety Framework (MaPSaF) are known as effective tools to assess patient safety culture and climate and develop targeted strategies. However, they are seldom applied in an integrated way. The aim of this study was to conduct an implementation project through a novel use of both instruments to gain unique insights. The Italian version of MaPSaF and SAQ were administered to 1,759 healthcare workers from three Italian hospitals (response rate: MaPSaF 70.5%, SAQ 61.6%). MaPSaF evaluation proved an overall bureaucratic level of patient safety culture. SAQ scores showed a predominance of neutral scores (75.99%). The dimension perception of management gained the lowest mean score (53.32), while Stress recognition obtained the highest (75.17). Safety climate perception differed significantly among groups: working in a small hospital, in a medical department, and being a physician were associated with the most positive results. The majority (67.1%) of responders to both MaPSaF and SAQ considered the two instruments as providing with different and complementary information. Overall, results showed that an integrated approach in the evaluation of an organisation's safety culture may result useful for an in‐depth analysis of the criticalities and the adoption of appropriate improvement strategies.

Exploring safety culture in the Finnish ambulance service with Emergency Medical Services Safety Attitudes Questionnaire

BackgroundEmergency Medical Services (EMS) is, by its nature, a challenging context that may create risks for both patients and employees. It is also known that an organisation’s safety culture has an influence on both patient and employee safety. Finnish EMS organisations lack knowledge of how their safety culture is perceived by their employees.AimThis study aims to test the psychometric properties of the Emergency Medical Services Safety Attitudes Questionnaire (EMS-SAQ) in a Finnish EMS setting. We also explore the connections between individual- and organisation-based characteristics and safety attitudes in the Finnish EMS.MethodsA cross-sectional survey study design was used. The EMS-SAQ was used to collect data via social media. The instrument measures six domains of workplace safety culture: safety climate, teamwork climate, perceptions of management, job satisfaction, working conditions and stress recognition. The 5-point Likert scale was converted to a 100-point scale and mean ≥ 75 was dichotomized as a positive. Confirmatory factor analysis (CFA) was carried out to validate the EMS-SAQ in a Finnish setting. Other results were analysed by using non-parametric tests.Results327 responses were included in the analysis. CFA showed that the total EMS-SAQ model had acceptable goodness-of-fit values in the Finnish EMS setting. Total mean scores for each safety culture domain were identified non-positively (mean score < 75); safety climate 60.12, teamwork climate 60.92, perceptions of management 56.31, stress recognition 64.55, working conditions 53.43 and job satisfaction 70.36. Higher education was connected to lower job satisfaction and the teamwork climate within the individual characteristics. All organisation-based characteristics caused at least one significant variation in the safety culture domain scores. Working area significantly affected (p < 0.05) five out of the six safety culture domain scores.ConclusionsThe EMS-SAQ is a valid tool to evaluate safety culture among the Finnish EMS organisations; it offers a novel method to evaluate safety and patient safety within the Finnish EMS organisations. According to the findings, the organisation-based characteristics more likely had an impact on safety attitudes than did the individual-based characteristics. Therefore, it is suggested that the Finnish EMS organisations undertake safety culture development at the organisational level.

Application of EEG Signal Recognition Method Based on Duffing Equation in Psychological Stress Analysis

Based on the study of the feature extraction algorithm based on the multiple empirical mode decomposition of the Duffing equation, this paper proposes a corresponding improved algorithm, completes the identification and analysis of the psychological pressure dimension space under the audiovisual induction method, and designs two typical psychological types of music and pictures. Based on the stress induction experiment, an audiovisual-induced psychological stress recognition system based on EEG (electroencephalogram) signals was built. Aiming at the problem that the spatial uniform sampling method cannot well reflect the dynamic characteristics of the multivariate EEG signal, based on the Duffing equation, a nonuniform sampling algorithm that adaptively selects the projection direction is proposed. At present, the use of the Duffing equation to detect weak unknown signals is to select a set of fixed parameters. Analysis of these two aspects to determine the parameters of the system is based on the parameter analysis of the Duffing equation oscillator. Due to the sensitivity of the Duffing equation to the initial value, the choice of parameters has a great influence on the detection effect. In response to this situation, the relationship between the parameters and initial values of the Duffing equation is analyzed. From the relationship between the parameters and the initial values, the influence of different parameters on the detection effect is analyzed to verify the superiority of the current equation parameters. First, the multichannel EEG signal is nonuniformly sampled multiempirical modal decomposition, and an effective intrinsic modal function is selected to extract the mental stress EEG characteristics. Experimental results show that the EEG signal recognition algorithm based on the Duffing equation effectively extracts EEG signal features and improves the classification accuracy of mental stress EEG signals.

Safety culture in the perception of public-hospital health professionals.

ABSTRACTOBJECTIVE Evaluating safety culture in the perception of professionals working in public hospitals of the Unified Health System (SUS) of Distrito Federal, Brazil, three years after the implementation of the National Patient Safety Program (PNSP).METHODS Analytical cross-sectional study conducted in eleven public hospitals using the Safety Attitudes Questionnaire (SAQ) in electronic format. Stratified sampling was estimated according to the proportion of the total number of professionals in each hospital, as well as the representativeness of each professional group. The results of the total score and domains equal to or greater than 75 were considered positive. Descriptive and inferential analyses of professional groups and hospitals were carried out.RESULTS 909 professionals participated. The total score by professional group was negative (62.5 to 69.5) and the domains differed statistically in all cases. The eleven hospitals had a negative total score (61.5 to 68.6). The domains to attain positive performance were job satisfaction, stress recognition and teamwork climate. The lowest results were in working conditions and management perception domains, for which none of the hospitals had an average above 75. Differences were also found for domain means across hospitals, except in management perception.DISCUSSION Three years after the implementation of PNSP, the safety culture in eleven hospitals evaluated was weak, although the domains of job satisfaction, stress recognition and teamwork climate had positive results. The results can contribute to decision-making by managers, as safety culture is an essential element in the implementation of patient safety policy.

Assessment of Attitude of Primary Care Medical Staff Toward Patient Safety Culture in Primary Health-care Centers--Al-Ahsa, Saudi Arabia.

IntroductionAn effective leadership is critical to the development of a safety culture within an organization. Patient safety in primary health care is an emerging field of research of increasing importance.ObjectiveThis study has been conducted to explore the safety culture attitude toward patient safety to improve the quality and patient safety in primary health-care centers.MethodsA cross-sectional survey involving 288 medical staff in primary health-care centers in Al-Ahsa was conducted using an Arabic translated safety attitude questionnaire to assess the safety attitudes among health care center staff toward patient safety culture.ResultsThis study showed that the attitude of medical staff in primary health-care centers is somewhat positive toward patient safety culture where the average of job satisfaction score in the current study was higher at 80% and the overall score for safety climate was 68%. The overall score for safety attitudes was highest in Al-Ayoun Health Center (79%) and lowest in Al Faisaliah Health Center (58%). The score of teamwork and stress recognition was high and statistically significant (p<0.05) among females. However, staff perception toward management was significantly higher (p<0.05) among males. Staff perception toward management was significantly low (p<0.05) among clinicians. The overall score for safety attitudes was remarkably high (p<0.05) among those with less than 10 years' experience, the overall safety culture score was significantly high (p<0.05) among administrative staff and all correlations were significant (p<0.01) except for recognition of stress with teamwork, job satisfaction, management perception, and safety climate. In addition, there were different attitudes toward patient safety culture between gender and physician vs non-physician and management staff vs non-management staff.ConclusionThe findings suggested that certain improvements are needed, especially in the field of communication and stress recognition with regard to patient safety culture.

Measuring the safety climate in an Australian emergency department

BackgroundThere are numerous intricate human, system and cultural factors that can impact upon the safe and effective implementation of patient safety systems (e.g. rapid response systems). Safety climate is one of these factors and is a measure of frontline healthcare workers’ shared perceptions, behaviours, beliefs and attitudes towards the organisation’s culture of safety. Safety climate scores are also associated with the frequency of errors and adverse events in the healthcare setting. However, there is little evidence regarding the relationships between attitudes to patient safety and staff characteristics such as emergency care expertise and experience. The aims of this study were to measure perceptions of the safety climate in an Australian metropolitan Emergency Department and examine relationships between safety climate perceptions and staff characteristics. MethodsThe Victorian Managed Insurance Authority Safety Climate Survey was administered to all doctors (n = 44) and nurses (n = 119) at an Australian emergency department. ResultsCompleted surveys were received from 127 (78%) respondents, 25 (52%) doctors and 100 (84%) nurses. Reliability analysis showed very good internal consistency of all 43-items of the survey (α = 0.94). With the exception of stress recognition, nurses rated the organisation’s commitment to patient safety higher than doctors in all remaining attitudinal domains (p < 0.05). Both groups acknowledge that fatigue, increased workload and stress recognition negatively impacts upon patient safety. There was a significant trend for declining safety climate ratings related to participants’ clinical competence level and experience across all domains except stress recognition (p < 0.05). ConclusionsThe Safety Climate Survey appears to be a reliable measure of patient safety climate for use in Emergency Departments. Emergency doctors and nurses did not perceive there to be a strong organisational commitment to patient safety in an Australian Emergency Department. Emergency Departments can provide a safer environment through genuine commitment to safety culture improvement which capitalises on the insights, intrinsic strengths and behaviours characteristic of the ED team’s expertise and experience. This kind of commitment can positively influence the effectiveness of actions taken to minimise risk to patient safety and improve ED staff job satisfaction and effectiveness.

Comparing the training effectiveness of virtual reality and role play among future mental health providers.

The present study compares the effectiveness of a standardized peer-to-peer role play (RP) and a virtual client-trainer (VC-T) in training graduate-level students in the development of interviewing and clinical skills related to working with the military population. The study examines each training modality in six areas: (a) self-efficacy, (b) initial engagement, (c) recognizing and responding to symptoms of posttraumatic stress disorder, (d) recognizing and responding to symptoms of suicide, (e) military cultural competence, and (f) overall competence. A quasi-experimental nonequivalent groups study design was used. The sample comprised students enrolled in a graduate-level program (RP = 61; VC-T = 75). Participants completed pretest measures, attended training, and completed posttest measures. Broadly, the findings revealed that RP and the VC-T are equally effective in increasing trainees' self-efficacy, recognition and response to posttraumatic stress disorder symptoms, recognition and response to suicide symptoms, military cultural competence, and overall competence. These results suggest that regardless of training modality, trainees demonstrated increased clinical skills and competencies needed for working with the military population. The results suggest that both RP and the VC-T are equally effective, which opens the possibilities of implementing the VC-T as a training tool that has greater reach compared with RP. As more graduate programs offer an online version of their traditional on-ground coursework, the VC-T is an opportunity to have 1 training platform for both on-ground and online students. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

프리셉터 간호사의 직무스트레스, 역할인식이 소진에 미치는 영향

Purpose: The purpose of this study was to examine the influence of job stress and role recognition on burnout in preceptor nurses. Methods: A descriptive research design was used with a convenience sample of 131 preceptor nurses. Data were collected using self-reported questionnaires from Mar 1 to Apr 30, 2019. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson’s correlation coefficient, and multiple regression. Results: The mean scores of job stress and role recognition and burnout were 3.53 out of 5, 3.77 out of 5 and 2.64 out of 5, respectively. Preceptor nurses’ burnout was positively correlated with job stress and negatively correlated with role recognition. Factors influencing on preceptor nurses’ burnout were organizational job stress and role recognition which explained 13.9% of the variance. Conclusion: Based on the finding of this study, it is necessary to develop education and intervention programs in order to reduce job stress and enhance role recognition of preceptor nurses. Furthermore, recurrent studies are needed on factors affecting future exhaustion of preceptor nurses.

Stress Classification by Multimodal Physiological Signals Using Variational Mode Decomposition and Machine Learning.

In this pandemic situation, importance and awareness about mental health are getting more attention. Stress recognition from multimodal sensor based physiological signals such as electroencephalogram (EEG) and electrocardiography (ECG) signals is a very cost-effective way due to its noninvasive nature. A dataset, recorded during the mental arithmetic task, consisting of EEG + ECG signals of 36 participants is used. It contains two categories of performance, namely, “Good” (nonstressed) and “Bad” (stressed) (Gupta et al. 2018 and Eraldeír et al. 2018). This paper presents an effective approach for the recognition of stress marker at frontal, temporal, central, and occipital lobes. It processes the multimodality physiological signals. The variational mode decomposition (VMD) strategy is used for data preprocessing and for the decomposition of signals into various oscillatory mode functions. Poincare plots (PP) are derived from the first eight variational modes and features from these plots have been extracted such as mean, area, and central tendency measure of the elliptical region. The statistical significance of the extracted features with p < 0.5 has been performed using the Wilcoxson test. The multilayer perceptron (MPLN) and Support Vector Machine (SVM) algorithms are used for the classification of stress and nonstress categories. MLPN has achieved the maximum accuracies of 100% for frontal and temporal lobes. The suggested method can be incorporated in noninvasive EEG signal processing based automated stress identification systems.

Impact on Patient Safety Culture by the Intervention of Multidisciplinary Medical Teams.

To provide comprehensive patient-centered care, we need multidisciplinary teams to face challenges of advanced and complex care. The Taichung Veterans General Hospital has had a ward-based multidisciplinary team system in each ward for 10 years. This study aimed to investigate whether better team performance results in a more positive response in patient safety culture (PSC). From 2014 to 2017, there were 21 ward-based multidisciplinary teams. We organized an evaluation panel to assess the performance of the teams. Those teams were divided into 3 groups: high, medium, and low according to their annual performance scores. The Taichung Veterans General Hospital used annual Safety Attitude Questionnaire-based surveys concerning patient safety issues. We used the generalized estimating equation to analyze the dataset over 4 years. All analyses were carried out using SAS Version 9.4 (SAS Institute, Cary, NC). Taking the trend effects from 2014 to 2017 into account, we found that teamwork climate, safety climate, and perception of management were significantly better in the high and medium groups of the ward-based multidisciplinary teams. There was no significant difference in the dimensions of job satisfaction, stress recognition, and working conditions, which suggests that all staff had the same degree of stress or work loading. Our ward-based multidisciplinary team system had a positive effect on PSC, which demonstrates the following: when team performance is better, patient safety climate is also better. We should keep the ward-based multidisciplinary team system, improve its performance, and maximize positive attitudes about PSC among our staff.

The Relationship Between Organizational Stress Levels and Patient Safety Attitudes in Operating Room Staff

PurposeThe aim of this study was to determine the relationship between organizational stress levels and patient safety attitudes in operating room (OR) staff. DesignThe study was conducted using a descriptive correlational research method. MethodsThe study sample was made up of 164 OR staff (38 surgeons, 32 anesthetists, 46 nurses, and 48 anesthetic technicians/OR support staff) at a university hospital. The data were collected with a Personal Information Form, the Organizational Stress Scale, and the Safety Attitudes Questionnaire—Operating Room (SAQ-OR) version. FindingsThe most important factor affecting organizational stress was sources of stress related to financial means, whereas the most important factor affecting patient safety attitudes was teamwork climate. Sources of stress related to the nature of the work performed and to management were higher in surgeons; mean scores in the subdimension of stress sources related to financial means were higher in nurses; whereas, total scores in the SAQ-OR version and mean scores in the subdimensions of perceptions of management, working conditions, and stress recognition were higher in anesthetic technicians/OR support staff. A statistically significant weak negative correlation was found between the Organizational Stress Scale and the SAQ-OR version. ConclusionsIn this study, as organizational stress levels of OR staff increased, patient safety attitudes were negatively affected. To improve patient safety attitudes of OR staff, it is recommended that work environments that reduce organizational stress are created.

A Review on Mental Stress Assessment Methods Using EEG Signals

Mental stress is one of the serious factors that lead to many health problems. Scientists and physicians have developed various tools to assess the level of mental stress in its early stages. Several neuroimaging tools have been proposed in the literature to assess mental stress in the workplace. Electroencephalogram (EEG) signal is one important candidate because it contains rich information about mental states and condition. In this paper, we review the existing EEG signal analysis methods on the assessment of mental stress. The review highlights the critical differences between the research findings and argues that variations of the data analysis methods contribute to several contradictory results. The variations in results could be due to various factors including lack of standardized protocol, the brain region of interest, stressor type, experiment duration, proper EEG processing, feature extraction mechanism, and type of classifier. Therefore, the significant part related to mental stress recognition is choosing the most appropriate features. In particular, a complex and diverse range of EEG features, including time-varying, functional, and dynamic brain connections, requires integration of various methods to understand their associations with mental stress. Accordingly, the review suggests fusing the cortical activations with the connectivity network measures and deep learning approaches to improve the accuracy of mental stress level assessment.

Recognition of Stress Activation by Unobtrusive Multi Sensing Setup

It is recognized that stress conditions play an important role in the definition of individual wellness and represent a major risk factor for most non-communicable diseases. Most studies focus on the evaluation of response to maximal stress conditions while a few of them reports results about the detection/monitoring of response to mild stimulations. In this study, we investigate the capability of some physiological signs and indicators (including Heart Rate, Heart Rate Variability, Respiratory Rate, Galvanic Skin Response) to recognize stress in response to moderate cognitive activation in daily life settings. To achieve this goal, we built up an unobtrusive platform to collect signals from healthy volunteers (10 subjects) undergoing cognitive activation via Stroop Color Word Test. We integrated our dataset with data from the Stress Recognition in the Automobile Drivers dataset. Following data harmonization, signal recordings in both datasets were split into five-minute blocks and a set of 12 features was extracted from each block. A feature selection was implemented by two complementary approaches: Sequential Forward Feature Selection (SFFS) and Auto-Encoder (AE) neural networks. Finally, we explored the use of Self-Organizing Map (SOM) to provide a flexible representation of an individual status. From the initial feature set we have determined, by SFFS analysis, that 2 of them (median Respiratory Rate and number peaks in Galvanic Skin Response signals) can discriminate activation statuses from resting ones. In addition, AE experiments also support that two features can suffice for recognition. Finally, we showed that SOM can provide a comprehensive but compact description of activation statuses allowing a fine prototypical representation of individual status.

A Study on the Skin Stress Recognition and Beauty Care Status due to Wearing Masks

This study conducted an online and offline survey of 210 people from March 11 to 27, 2021 for the purpose of investigating and analyzing the current status of skin stress recognition and beauty care behavior due to wearing masks. The collected data were analyzed using SPSS 25.0 with Cronbach's α, Frequency Analysis, Chi-square test, and One way Anova. The average daily mask wearing time of more than 7 hours during the Covid-19 period was 43.8%, and skin stress recognition by wearing masks was highest among those in their 30s (M=4.27) and service workers (M=4.64), and those with acne and skin troubles (M=4.47) perceived high stress. The most important factor for home care treatment was cleansing(67.6%) and for beauty care was skin care(36.7%). Considerations factors on beauty care were 54.3% for service and customer care capabilities, and on body shape management method 45.7% for exercise. According to this study, respondents are recognizing skin stress due to the long-term use of masks, and home care treatment has been increasing as the esthetic salon has become unstable to visit due to the Covid-19 epidemic.

Variation in Perception of Safety Culture in Out-of-hours Family Medicine Service in Croatia.

IntroductionThe Safety Attitudes Questionnaire (SAQ) is among the most frequently cited tools for measuring safety culture in healthcare settings. Its ambulatory version was used in this study. The aim was to assess safety culture in out-of-hours (OOH) family medicine service and its variation across job positions, regions, and respondents’ demographic characteristic.MethodsA cross-sectional observational study was carried out targeting 358 health professionals working in the 29 largest Croatian healthcare centres providing out-of-hours family medicine service. The response rate was 51.7% (185 questionnaires). The questionnaire comprised 62 Likert items with 5 responses (fully disagree to fully agree). Scores of negatively worded items were reversed before analysis. Scores on the total scale and subscales were calculated as additive scores. The study included demographic data on gender, age, working experience, and job position. Repeated measurement analysis of variance was used to assess variation of Safety Attitudes Questionnaire – Ambulatory Version (SAQ-AV) sub-scales.ResultsNurses assessed safety culture higher than did physicians and residents. Teamwork climate had higher scores than Ambulatory process of care and Organizational climate. Stress recognition and Perceptions of workload had the lowest overall scores. Variation across gender, age, working experience, and region was not statistically significant.ConclusionsSAQ-AV can be used to identify areas for improvement in patient safety at OOH GPs. There is a need to improve staffing and support for OOH GP residents. Further research is needed in order to gain better understanding of factors influencing observed variations among job positions.

Stress Analysis with Dimensions of Valence and Arousal in the Wild

In the field of stress recognition, the majority of research has conducted experiments on datasets collected from controlled environments with limited stressors. As these datasets cannot represent real-world scenarios, stress identification and analysis are difficult. There is a dire need for reliable, large datasets that are specifically acquired for stress emotion with varying degrees of expression for this task. In this paper, we introduced a dataset for Stress Analysis with Dimensions of Valence and Arousal of Korean Movie in Wild (SADVAW), which includes video clips with diversity in facial expressions from different Korean movies. The SADVAW dataset contains continuous dimensions of valence and arousal. We presented a detailed statistical analysis of the dataset. We also analyzed the correlation between stress and continuous dimensions. Moreover, using the SADVAW dataset, we trained a deep learning-based model for stress recognition.

Study and promotion of safety culture using mixed methods research

Abstract Objective With a positive safety culture, institutions offer the best quality and safe care to their patients. The objective of this study was to analyze patient safety culture from the perspective of the multidisciplinary team, to identify factors that influence patient safety culture, and to create/promote—jointly with the study participants—strategies for improving processes of change. Methods The study design represented a mixed methods research approach, with a sequential explanatory design. A multidisciplinary team of workers at a general hospital was eligible for the study. To collect quantitative data, we administered the Safety Attitudes Questionnaire (SAQ). The qualitative phase was accomplished via focus groups (FGs), with participants from the first phase of the study using the principles of deliberative dialogue (DD) as a knowledge-translation strategy. The STROBE guideline was used to develop the study. Results The overall SAQ score was positive (75.1 ± 10.4). Negative scores were found in the fields of Safety Climate, Working Conditions, and Stress Recognition. Focus group discussions identified the aspects that create a negative impact on safety culture, such as ineffective communication, punitive approach in the event of errors, the lack of commitment and adherence to the protocols, and the non-recognition of the stress and the mistakes. Actions for the promotion of safety culture were developed and implemented during the study. Conclusions The use of the principles of DD as a strategy for knowledge translation (KT) made it possible to identify and plan for joint actions to generate improvements in safety culture.

An Ensemble Classification Model With Unsupervised Representation Learning for Driving Stress Recognition Using Physiological Signals

This paper presents an ensemble classification model with unsupervised feature learning for driving stress recognition under real-world driving conditions. The driving stress is detected using drivers’ different physiological signals, specifically the electromyogram, electrocardiogram, galvanic skin response, heart rate and respiration. The proposed model consists of two modules: 1) a multilayer representation learning module using autoencoder as its building block. The autoencoders are trained with a quasi-automated, non-gradient descent based unsupervised learning algorithm; 2) an ensemble classification module under the AdaBoost framework. The proposed model is completely data driven, does not require additional feature extraction and feature selection process, and can perform in an end-to-end way in which it takes the physiological signal as the input instead of the handcrafted features. Experimental results show that our proposed model can effectively recognize the driving stress with fewer physiological sensors compared with most of state of the art methods. Experiments also demonstrate that the proposed model can simplify the model structure tuning and improve the learning efficiency compared with the baseline deep learning model.

Interdisciplinary differences in patient safety culture within a teaching hospital in Southeast Asia.

Patient safety represents a global issue which leads to potentially avoidable morbidity and mortality. The healthcare providers perception and their role are utmost important in delivering quality care and patient safety. This study aimed to determine the interdisciplinary differences in patient safety culture in a tertiary university hospital. A cross-sectional study using the Safety Attitude Questionnaire (SAQ) self-administered electronically in the English and Malay languages to evaluate safety culture domains. A positive percentage agreement scores of 60% was considered satisfactory. Comparisons were made between doctors, nurses, allied health professionals, nursing assistants and support staff. Of 6562 respondents, 5724 (80.4%) completed the questionnaire; 3930 (74.5%) women, 2263 (42.9%) nurses, and 1812 (34.2%) had 6-10years of working experience. The mean overall positive percentage agreement scores were 66.2 (range=31.1 to 84.7%), with job satisfaction (72.3%±21.9%) and stress recognition (58.3±25.6%) representing the highest and lowest mean domain scores, respectively. Differences were observed between all five job categories. Linear regression analyses revealed that the other four job categories scored lower in teamwork, safety climate, job satisfaction and working conditions compared to nurses. The overall mean SAQ score was above the satisfactory level, with unsatisfactory percentage agreement scores in the stress recognition domain. Interventions to improve patient safety culture should be developed, focusing on stress management.

PSIKOEDUKASI ONLINE UNTUK MEREDAKAN STRES DI TENGAH PANDEMIK COVID-19

The COVID-19 pandemic has caused many changes in various aspects of people's lives. The changes caused psychological problems, one of which is stress. Stress conditions experienced by individuals need to be handled so as not to prolong or cause other psychological symptoms. One of the interventions that can be done in the midst of a pandemic is online psychoeducation. Based on this, the target of online psychoeducation carried out was the general public who were willing to become participants. The goal of online psychoeducation activities was to increase participants' knowledge of stress conditions and techniques that can be used to relieve stress. Psychoeducation was given in two methods, namely interactive lectures that discussed stress recognition and modeling techniques related to stress relief techniques. The results of the evaluation of the activities showed that more than 50% of participants gave positive responses to the material presented and the participants' expectations were achieved after participating in online psycho education. Thus it can be concluded that providing online psychoeducation could provide knowledge related to stress conditions experienced and techniques that can be applied to relieve stress experienced during the current COVID-19 pandemic.&#x0D; &#x0D; Keywords: COVID-19, Stress, Psychoeducation, Online, Technique