Stress Recognition Research Articles

Improvements in patient safety culture: a national Taiwanese survey, 2009-16.

To assess national trends in patient safety culture in Taiwan. A safety attitudes questionnaire (SAQ) was distributed to 144 hospitals from 2009 to 2016 (n=392341). Taiwan's medical centers, regional hospitals and community hospitals. Hospital staff in Taiwan. None. 5-point Likert scale to assess changes in patient safety culture dimensions (teamwork, safety climate, job satisfaction, stress recognition, management and working conditions) converted to positive response rate (percentage of respondents who answered slightly agree or strongly agree on Likert scale). Dimensions for patient safety culture significantly increased in Taiwan over a period of 8years, with an all-composite improvement in positive response rate of 4.6% (P<0.001). Regional hospitals and community hospitals registered an all-composite improvement of 6.7 and 7.0%, respectively, while medical centers improved by 4.0%. Improvements for regional and community hospitals primarily occurred in teamwork (regional hospitals, 10.4% [95% confidence interval [CI], 10.2-10.6]; community hospitals, 8.5% [95% CI, 8.0-9.0]) and safety climate (regional hospitals, 11.1% [95% [CI], 10.9-11.4]; community hospitals, 11.3% [95% CI, 10.7-11.8]) (P<0.001, all differences). Compared with nurses (5.1%) and pharmaceutical staff (10.6%), physicians improved the least (2.0%). Improvements for nurses and pharmacists were driven by increases in perceptions of teamwork (nurses, 9.8% [95% CI, 9.7-10.0]; pharmaceutical staff, 14.2% [95% CI, 13.4-14.9]) and safety climate (nurses, 9.0% [95% CI, 8.8-9.1]; pharmaceutical staff, 16.4% [95% CI, 15.7-17.2]) (P<0.001, all differences). At study end, medical centers (55.1%) had greater all-composite measurements of safety culture than regional hospitals (52.4%) and community hospitals (52.2%) while physicians (63.7%) maintained greater measurements of safety culture than nurses (52.1%) and pharmaceutical staff (56.6%). These results suggest patient safety culture improved in Taiwan from 2009 to 2016.

Hemşirelerin Hasta Güvenliği Tutumlarına İlişkin Algılarının Değerlendirilmesi

Purpose: The aim of this study is to determine the perceptions of nurses about patient safety attitude and reveal whether the various socio-demographic features of nurses have an effect on the perception of patient safety attitude or not. Methods: The population of the study includes nurses who are working in a public hospital in Burdur. The sample was not selected in the study, tried to reach the whole universe and a total of 153 usable responses were obtained. Descriptive statistics, reliability analyzes, correlation analysis, t-test in two independent groups, and one-way analysis of variance ANOVA were used in the analysis of the data.Results: In the study, it was determined that the participants gave the highest average score to the perception of management and safety climate sub-dimensions, gave the lowest average score to the stress recognition. The study findings showed that the scores of job satisfaction and stress recognition dimensions of nurses were statistically and significantly different in terms of their ages. In addition; job satisfaction, teamwork, safety climate and perception of management sub-dimensions were also found to be significantly different in terms of gender. Conclusion: As a result of this study, it was determined that nurses’ attitudes towards patient safety were in the medium level and some socio-demographic characteristics were different in sub-dimensions

Turkish surgical nurses' attitudes related to patient safety: A questionnaire study.

Surgical nurses work in demanding environments and play a vital role in maintaining and promoting patient safety due to the nature of their work. Hence it is important to know their attitudes toward patient safety. This research aimed to evaluate the patient safety attitudes of Turkish surgical nurses. This was a descriptive cross-sectional and questionnaire research. Data were collected from August 2015-January 2016 using the staff information form and the safety attitudes questionnaire (SAQ). The study population included 231 nurses who work in operating rooms, surgical intensive care, and surgical wards of four hospitals in western Turkey. Data were analyzed with frequency, percentage, mean, standard deviation, the Mann Whitney U test, and Kruskal Wallis tests using the SPSS 18. The teamwork and safety climate scores of operating room nurses were higher than the scores of surgical intensive care and ward nurses. The stress recognition scores of surgical ward nurses were the highest, followed by the scores of the operating room and surgical intensive care nurses. The perception of management scores of operating room nurses was higher than those of surgical ward nurses, and nurses ages 18-30 were higher than those of nurses ages 31-40. None of the six domains of safety culture, including job satisfaction, teamwork, safety climate, the perception of management, stress recognition, and working conditions achieved a positive mean score over 75. This research paper provides an evaluation of the safety attitudes of surgical nurses. Findings can provide information for healthcare leaders to improve the safety culture.

Non-spectral features-based robust speaker independent emotion recognition from speech signal

To ensure the better and effective human-machine interaction, affective computing is playing a vital role in the current scenario. Since speech and glottal signals convey the information about the emotional state of the speaker in addition to the linguistic data, it is essential to recognise the speaker's emotions and respond to it expressively. This paper mainly discusses the effectiveness of non-spectral features and modelling techniques to develop a robust multi-speaker independent speaker's emotion/stress recognition system. Since our EMO-DB database is small it has become a challenging task to improve the performance of the system. The proposed non-spectral features and modelling techniques provides 81% and 100% as weighted accuracy recall for the stress recognition system concerning the classification done on individual models and emotion-specific group models. Weighted accuracy recall is found to be 100% for the classification done on emotion-specific group models by considering the utterances from the SAVEE database.

Recognition of English spoken stressed syllables based on natural language processing and endpoint detection algorithm

The traditional stress evaluation method cannot describe the chaotic characteristics of speech signals well or cannot fully approximate the complex nonlinear relationship between features, so that the exact location of stress cannot be accurately determined. In order to improve the recognition of spoken English stressed syllables, this study established a word stress recognition model. The model can accurately recognize the stressed syllables in the words and calculate the fundamental frequency change trajectory of the language tones using the fundamental frequency scaling function. According to this trajectory and using the time domain fundamental frequency synchronization superposition algorithm to modify the fundamental frequency parameters in the DIVA model motion instruction, the spoken language learner can master the rhythm in the spoken language. In addition, this study sets up experiments to study the effects of the model. The results show that the stress recognition model established in this paper has good reliability and stability.

Deep learning approach for recognition and classification of yield affecting paddy crop stresses using field images

On-time recognition and early control of the stresses in the paddy crops at the booting growth stage is the key to prevent qualitative and quantitative loss of agricultural yield. The conventional paddy crop stress recognition and classification activities invariably rely on human experts identifying visual symptoms as a means of categorization. This process is admittedly subjective and error-prone, which in turn can lead to incorrect actions being taken in stress management decisions. The work presented in this paper aims to design a deep convolutional neural network (DCNN) framework for automatic recognition and classification of various biotic and abiotic paddy crop stresses using the field images. The work has adopted the pre-trained VGG-16 CNN model for the automatic classification of stressed paddy crop images captured during the booting growth stage. The trained models achieve an average accuracy of 92.89% on the held-out dataset, demonstrating the technical feasibility of using the deep learning approach utilizing 30,000 field images of 5 different paddy crop varieties with 12 different stress categories (including healthy/normal). The proposed work finds applications in developing the decision support systems and mobile applications for automating the field crop and resource management practices.

54 Patient Safety Culture at a Teaching Hospital in Kuala Lumpur

Abstract Introduction Patient safety, such as inpatient falls, is a global problem, accounting for increasing compensation costs from our healthcare facilities. The aim of this study was to evaluate the patient safety culture among healthcare providers. Method An online survey was developed within the hospital staff portal at the University of Malaya Medical Centre, with a dialogue box appearing on the launching of the portal website inviting the members of staff to participate in the survey. The survey contained a safety assessment questionnaire (SAQ) which measures the patient safety culture. The SAQ consists of 36 items measuring the six domains: teamwork climate, job satisfaction, safety climate, stress recognition, working conditions, and perception of management. Each domain is assigned a percentage score, and comparisons of scores according to healthcare disciplines were then made. Results 5275 (80%) responded to the online SAQ which was sent out to all 6562 healthcare professionals employed, by the hospital. The teamwork and safety climate was poor among supporting staff, with scores of 56.7 and 59.8 respectively. Job satisfaction (62.9), perception of ward management (56.8), and hospital management (53.2), and working conditions (44.7) were less among the clinicians. Stress recognition (36.5) was in alarmingly low among the nurses. Conclusion A comprehensive unit-based safety programme will be conducted in response to the SAQ findings, and should incorporate objective falls the outcome in order to convince the hospital hierarchy of the need for urgent solutions to lower the rates of inpatient falls.

Safety Culture at Primary Healthcare Level: A Cross-Sectional Study Among Employees with a Leadership Role.

IntroductionAn effective leadership is critical to the development of a safety culture within an organization. With this study, the authors wanted to assess the self-perceived level of safety culture among the employees with a leadership function in the Ljubljana Community Health Centre.MethodsThis was a cross-sectional study in the largest community health centre in Slovenia. We sent an invitation to all employees with a leadership role (N=211). The Slovenian version of the SAQ – Short Form as a measurement of a safety culture was used. The data on demographic characteristics (gender, age, role, work experience, working hours, and location of work) were also collected. An electronic survey was used.ResultsThe final sample consisted of 154 (69.7%) participants, out of which 136 (88.3%) were women. The mean age and standard deviation of the sample was 46.2±10.5 years. The average scores for the safety culture domains on a scale from 1 to 5 were 4.1±0.6 for Teamwork Climate, Safety Climate, and Working Conditions and Satisfaction, 3.7±0.5 for Perception of Management, 3.6±0.4 for Communication, and 3.5±0.6 for Stress Recognition.ConclusionThe safety culture among leaders in primary healthcare organizations in Slovenia is perceived as positive. There is also a strong organizational culture. Certain improvements are needed, especially in the field of communication and stress recognition with regards to safety culture.

Mecanismos de respuesta al estrés abiótico: hacia una perspectiva de las especies forestales

El estrés de origen abiótico tiene un importante impacto negativo para la productividad y supervivencia de los principales cultivos agrícolas y ecosistemas forestales del mundo. Las tendencias actuales del cambio climático pronostican un aumento en la severidad y frecuencia de fenómenos climáticos y condiciones ambientales adversas como la sequía, salinidad del agua y suelo, así como temperaturas extremas. A lo largo de la evolución, las plantas han desarrollado diversos mecanismos moleculares, morfológicos y fisiológicos para responder a las condiciones desfavorables del entorno. La comprensión de dichos mecanismos es esencial para implementar estrategias de conservación y mejoramiento genético de especies vegetales, a fin de proteger la biodiversidad y producir organismos tolerantes / resistentes al daño ocasionado por el estrés abiótico. Sin embargo, la mayoría de los estudios disponibles sobre identificación, transducción de señales y procesos de respuesta al estrés en plantas deriva de investigaciones en especies anuales. Aunque existen algunos trabajos realizados en taxones forestales de los géneros Populus, Eucalyptus, Picea y Pinus, se carece de estudios dedicados a especies mexicanas. Por su alta riqueza y diversidad biológica, México es un país privilegiado; no obstante, la falta de conocimiento sobre la susceptibilidad de sus recursos forestales es el principal obstáculo para diseñar planes de acción orientados a mitigar las consecuencias perjudiciales del estrés abiótico.

Patient safety culture in Oman: A national study.

A positive patient safety culture in maternity units is linked to higher quality of care and better outcomes for mothers. However, safety culture varies across maternity units. Analyses of variation in safety culture using statistical process control (SPC) methods may help provider units to learn from each other's performance. This study aims to measure patient safety culture across maternity units in Oman using SPC methods. The 36-item Safety Attitude Questionnaire (SAQ) was distributed to all doctors, nurses, and midwifes working in ten maternity care units in Oman's hospitals and analysed using SPC methods. The SAQ considers six domains: job satisfaction, perception of management, safety climate, stress recognition, teamwork, and work condition. Of the 892 targeted participants, 735 (82%) questionnaires were returned. The overall percentage of positive safety responses in all hospitals ranged from 53% to 66%, but no hospital had the targeted response of above 75%. Job satisfaction had the highest safety score (4.10) while stress recognition was the lowest (3.17). SPC charts showed that the overall percentage of positive responses in three maternity units (H1, H7, and H10) was above and one (H4) was below the control limits that represent special cause variation that merits further investigation. Generally, the safety culture in maternity units in Oman is below target and suggests that considerable work is required to enhance safety culture. Several maternity units showed evidence of high/low special cause variation that may offer a useful starting point for understanding and enhancing safety culture.

Sickle Cell Trait Induces Oxidative Damage on Plasmodium falciparum Proteome at Erythrocyte Stages.

The presence of hemoglobin A-S (HbAS) in erythrocytes has been related to the high production of reactive oxygen species (ROS) and an increased in intracellular oxidative stress that affects the progress of Plasmodium erythrocytic cycle life and attenuates its serious clinical symptoms. Nevertheless, oxidative effects on P. falciparum proteome across the intraerythrocytic cycle in the presence of HbAS traits have not been described yet. Here, an immune dot-blot assay was used to quantify the carbonyl index (C.I) on P. falciparum 3D7 proteome at the different asexual erythrocytic stages. Protein carbonylation on parasites cultivated in erythrocytes from two donors with HbAS increased 5.34 ± 1.42 folds at the ring stage compared to control grown in hemoglobin A-A (HbAA) red blood cells. Whereas at trophozoites and schizonts stages were augmented 2.80 ± 0.52 and 3.05 ± 0.75 folds, respectively. Besides proteins involved in processes of the stress response, recognition and invasion were identified from schizonts carbonylated bands by combining SDS-PAGE with MALDI-TOF-TOF analysis. Our results reinforce the hypothesis that such oxidative modifications do not appear to happen randomly, and the sickle cell trait affects mainly a small fraction of parasite proteins particularly sensitive to ROS.

Evaluation of safety attitudes of hospitals and the effects of demographic factors on safety attitudes: a psychometric validation of the safety attitudes and safety climate questionnaire

BackgroundThe objectives of this study are to test the psychometric properties of the safety attitudes and safety climate questionnaire Chinese simplified version (SAQ-CS), to test the safety attitudes of health professionals in tertiary hospitals in the Liaoning province and to explore the effects of demographic factors on safety attitudes.MethodsThe SAQ-CS was used to conduct a cross-sectional survey in nine tertiary hospitals in Liaoning province.ResultsCronbach’s alpha of each subscale of SAQ-CS were > 0.7, the values of GFI, TLI, and CFI were > 0.8, and RMSEA values ranged from 0.048–0.199. The mean of the safety attitudes of 2157 health professionals was 4.00, indicating a good safety attitude, with a positive response rate (% of items that scored ≥4) of 51.1%. The stress recognition subscale had the lowest score, with a mean of 2.73 and a positive response rate of 17.8%. A multiple linear regression equation revealed that demographic factors like gender, age, and training participation significantly affected the scores (βgender > 0.06, βage < − 0.08, βtraining < − 0.07, p < 0.05).ConclusionsThe psychometric properties of SAQ-CS are good and stable. Health professionals rate teamwork climate, safety climate, perception of management, and work conditions in Liaoning province are perceived as good; however, the stress of the health professionals is poor. To improve safety attitudes, it is necessary to not only reduce the stress of health professionals, but also to pay more attention to men, older health professionals, and health professionals who have not participated in safety training.

CROSS-SECTIONAL SURVEY ASSESSING A CULTURE OF SAFETY AT A LARGE PUBLIC HOSPITAL

SESSION TITLE: Wednesday Abstract Posters SESSION TYPE: Original Investigation Posters PRESENTED ON: 10/23/2019 09:45 AM - 10:45 AM PURPOSE: High-risk industries with a narrow tolerance for errors such as healthcare pay considerable attention to studying safety. Such research has expanded from focus on morbidity and mortality to recognition of ways in which organizational structure, team dynamic, and working conditions impact a climate of patient safety within an institution. The Safety Assessment Questionnaire (SAQ) solicits employee perceptions of teamwork, safety, job satisfaction, stress recognition, management, and working conditions. Validation studies suggest this tool is reliable and responsive to interventions. This study was designed to identify baseline gaps in safety culture among various provider disciplines within our institution. METHODS: The study was conducted in a large public teaching hospital. We used the abbreviated Short Safety Assessment Questionnaire (sSAQ), which explores the same domains as the SAQ via 36 questions graded on a 5-point Likert scale. The survey was distributed over a month-long period to all housestaff rotating on the inpatient medicine floor and in the medical and cardiac intensive care units (MICU and CCU respectively), as well as to medicine floor attendings, MICU and CCU nurses, and inpatient respiratory therapists. Response to the survey was voluntary and anonymous. RESULTS: Responses were obtained from 86% of the rotating housestaff, 91% of floor attendings, 41% of MICU nurses, 24% of CCU nurses, and 33% of respiratory therapists. Housestaff overall responded positively to job satisfaction, stress recognition, and working conditions, while ICU-based housestaff were additionally positive regarding teamwork and patient safety climate. Attendings answered favorably to job satisfaction and stress recognition. CCU nurses scored highest in the domains of safety climate and job satisfaction, while MICU nurses were most satisfied with stress recognition. Nursing units also differed in negative perceptions; CCU nurses expressed that communication breakdown commonly interfered with delivery of patient care, and MICU nurses felt burdened by insufficient staffing for patient volume. Respiratory therapists scored low in stress recognition, perception of management, and working condition domains. They looked favorably on collaboration with nurses but were neutral toward collaboration with physicians. CONCLUSIONS: Responses to the sSAQ revealed discrepancies between provider disciplines regarding perception of safety culture across six different domains. CLINICAL IMPLICATIONS: Improvement in scores across domains in the SAQ has shown association with shorter ICU stays, decreased rates of ventilator-associated pneumonias and blood-stream infections, and lower mortality. Our survey demonstrates a clear opportunity within our institution for targeted quality improvement initiatives which can be tailored to different provider disciplines in order to improve safety culture and optimize patient outcomes. DISCLOSURES: My spouse/partner as a Advisory Committee Member relationship with CORECEPT Please note: $1001 - $5000 Added 03/15/2019 by Vikramjit Mukherjee, source=Web Response, value=Consulting fee No relevant relationships by Maria Sunseri, source=Web Response No relevant relationships by Amit Uppal, source=Web Response No relevant relationships by Brandon Walsh, source=Web Response

Wearable-Based Affect Recognition-A Review.

Affect recognition is an interdisciplinary research field bringing together researchers from natural and social sciences. Affect recognition research aims to detect the affective state of a person based on observables, with the goal to, for example, provide reasoning for the person’s decision making or to support mental wellbeing (e.g., stress monitoring). Recently, beside of approaches based on audio, visual or text information, solutions relying on wearable sensors as observables, recording mainly physiological and inertial parameters, have received increasing attention. Wearable systems enable an ideal platform for long-term affect recognition applications due to their rich functionality and form factor, while providing valuable insights during everyday life through integrated sensors. However, existing literature surveys lack a comprehensive overview of state-of-the-art research in wearable-based affect recognition. Therefore, the aim of this paper is to provide a broad overview and in-depth understanding of the theoretical background, methods and best practices of wearable affect and stress recognition. Following a summary of different psychological models, we detail the influence of affective states on the human physiology and the sensors commonly employed to measure physiological changes. Then, we outline lab protocols eliciting affective states and provide guidelines for ground truth generation in field studies. We also describe the standard data processing chain and review common approaches related to the preprocessing, feature extraction and classification steps. By providing a comprehensive summary of the state-of-the-art and guidelines to various aspects, we would like to enable other researchers in the field to conduct and evaluate user studies and develop wearable systems.

장애인의 건강검진 수검에 영향을 미치는 요인 분석

Purpose: The purpose of this study was to examine the factors affecting of health screening among persons with disabilities. Method: The study examines the factors affecting of health screening using over 20 years of age who participated in the 2017 National survey of the disabled data. Subjects were 6,332 person with disabilities over 20 years of age. Data were analyzed using descriptive statistics, X2-test, multiple logistic regression with the SPSS win 21.0 program. Results: Health screening among persons with disabilities is differentiated with education level, marital status, Subjective House economic status, Health insurance, Economic activity, Type of disability, Grade of disability, Stress recognition, Depressive symptom, Suicidal thinking, Suicidal attempt, and grade of disability. The significant predictors of the health screening were age, Subjective House economic status, Economic activity, and Grade of disability. Conclusion: We should consider age, disability level, and economic level when developing a screening program for people with disabilities. Especially, the development and promotion of the health screening program for persons with disabilities and related education are required.

Physiological Stress and Face Recognition: Differential Effects of Stress on Accuracy and the Confidence–Accuracy Relationship

When eyewitnesses see a crime, they often do so under physiological stress. Research suggests that stress disrupts memory accuracy, but less is known about whether stress impacts the relationship between confidence and accuracy. Whereas researchers generally agree that pristine encoding and retrieval conditions lead to a strong relationship between the two ( Wixted & Wells, 2017 ), how violations of pristine conditions affect the relationship is unclear. In two experiments, participants encoded faces either under physiological stress (via a cold pressor task) or under control conditions. Participants were later given a recognition memory test for the faces and provided confidence judgments in their old/new decisions. As expected, stress impaired face recognition accuracy. However, we observed similar confidence–accuracy relationships regardless of stress condition. Though participants in the stress condition were less accurate in their identifications overall, they had the metacognitive awareness to scale back their confidence judgments.

An Analysis of Variables Affecting the Implementation of Patient Safety in Budi Sehat Hospital Purworejo using Partial Least Square

Budi Sehat Hospital Purworejo is a healthcare facility whose status recently changed from general inpatient clinic. During the process of this status change, the hospital faced several obstacles related to patient safety. Near-miss cases include wrong diet for a patient, a near case of injection mix-up, wrong drug administration, wrong drug dose, a prescription error and one adverse event case of phlebitis. This study aims to minimize patient safety incidents by identifying variables that affect the implementation of patient safety in Budi Sehat Hospital Purworejo. Variables used in this study include teamwork climate (X1), safety climate (X2), job satisfaction (X3), stress recognition(X4), perceptions of management(X5), working conditions(X6), motivation (X7), supervision (X8), leadership style(X9), communication (X10), turnover intention(X11) and frequency of patient safety events reported (Y1). The method used in this study was the Partial Least Square (PLS). Results showed that the most influential variable was working conditions (X6) with p-value of 0,01 and R-squared of 0,393.

Electrocardiogram (ECG) based stress recognition integrated with different classification of age and gender

&lt;p class="Abstract"&gt;&lt;em&gt;&lt;span&gt;Good mental health is important in our daily life. A person commonly finds stress as a barrier to enhance an individual’s performance. Be reminded that not all people have the same level of stress because different people have dissimilar problems in their life. In addition, different level of age and gender will affect unequal amount of stress. Electrocardiogram (ECG) signal is an electrical indicator of the heart that can detect changes of human response which relates to our emotions and reactions. Thus, this research proposed a non-intrusive detector to identify stress level for both gender and different classification of age using the ECG. A total of 30 healthy subjects were involved during the data acquisition stage. Data acquisition which initialize ECG data were divided into two conditions; which are normal and stress states. ECG data for normal state only need the participant to breath in and out normally. In other hand, the participants also need to undergo Stroop Colour word test as a stress inducer to represent ECG in stress state. Then, Sgolay filter was selected in the pre-processing stage to remove artifacts in the signal. The process was followed by feature extraction of the ECG signal and finally classified using RR Interval (RRI), different amplitudes of R peaks and Cardioid graph were used to evaluate the performance of the proposed technique. As a result, Class 5 (age range between 50-59 years old) marks the highest changes of stress level rather than other classes, while women are more affected by stress rather than men by showing tremendous percentage changes between normal and stress level over the proposed classifiers. The result proves that ECG signals can be used as an alternative mechanism to recognize stress more efficiently with the integration of gender and age variabilities.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;

An Unobtrusive Stress Recognition System for the Smart Office.

This paper presents a novel approach to monitor office workers' behavioral patterns and heart rate variability. We integrated an EMFi sensor into a chair to measure the pressure changes caused by a user's body movements and heartbeat. Then, we employed machine learning methods to develop a classification model through which different work behaviors (body moving, typing, talking and browsing) could be recognized from the sensor data. Subsequently, we developed a BCG processing method to process the data recognized as `browsing' and further calculate heart rate variability. The results show that the developed model achieved classification accuracies of up to 91% and the HRV could be calculated effectively with an average error of 5.77ms. By combining these behavioral and physiological measures, the proposed approach portrays work-related stress in a more comprehensive manner and could contribute an unobtrusive early stress detection system for future smart offices.

The safety attitudes questionnaire \u2013 ambulatory version: psychometric properties of the Norwegian version for nursing homes

BackgroundPatient safety culture involves leader and staff interaction, routines, attitudes, practices and awareness that influence risks of adverse events in patient care. The Safety Attitudes Questionnaire (SAQ) is an instrument to measure safety attitudes among health care providers. The instrument aims to identify possible weaknesses in clinical settings and motivate quality improvement interventions leading to reductions in medical errors. The Ambulatory Version of the SAQ (SAQ-A) was developed to measure safety climate in the primary care setting. The original version of the SAQ includes six major patient safety factors: Teamwork climate, Safety climate, Job satisfaction, Perceptions of management, Working conditions, and Stress recognition. Patients in nursing homes are particularly vulnerable to adverse events. We present the psychometric properties of the Norwegian translation of the SAQ-A for the nursing home setting.MethodsThe study was conducted in five nursing homes in Tønsberg, Norway, in February 2016. A total of 463 employees working more than 20% received a paper version of the translated SAQ-A adapted to the Norwegian nursing home setting and responded anonymously. Filled-in questionnaires were scanned and transferred to an SPSS file. SPSS was used to estimate Cronbach alphas, corrected item-total correlations, item-to-own and item-to-other correlations, and item-descriptive statistics. The confirmatory factor analysis was done by AMOS.ResultsOf the 463 health care providers, 288 (62.2%) responded to the questionnaire. The confirmatory factor analysis showed that the total model of the six factors Teamwork climate, Safety climate, Job satisfaction, Perceptions of management, Working conditions, and Stress recognition had acceptable goodness-of-fit values in the nursing home setting.ConclusionsThe results of our study indicate that the Norwegian translated version of the SAQ-A, with the confirmed six factor model, is an appropriate tool for measuring patient safety climate in the nursing home setting. Future research should study whether there is an association between patient safety climate in nursing homes and occurrence of adverse events among the patients.