Статті в журналах з теми "Report incident"
Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Report incident.
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Report incident".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
1
MERRYMAN, PRISCILLA. "THE INCIDENT REPORT." Nursing 15, no. 5 (May 1985): 57–59. http://dx.doi.org/10.1097/00152193-198505000-00010.
Повний текст джерела
2
Budi, Savitri Citra, Sunartini Hapsara, Fatwa Sari Tetra, and Lutfan Lazuardi. "Incident Report: Between the Shadows of Obligation and Formality." Open Access Macedonian Journal of Medical Sciences 9, E (May 14, 2021): 109–17. http://dx.doi.org/10.3889/oamjms.2021.5949.
Повний текст джерелаАнотація:
BACKGROUND: Incident reports are the primary data source for monitoring patient safety in the hospital. Monitoring of these reports determines the success of managing safety-related incidents as an effort to improve patient care. Hospital staff plays an essential role in the management of incident reports. Each staff member has a role in managing incident reports. AIM: This article aimed to explore the role of hospital staff in the incident reporting process. METHODS: This qualitative research used an exploratory approach. The research informants were three doctors, 21 nurses, one pharmacist, and two computer administrators. Data were collected using interviews and observations of incident reporting implementation. The research data were analyzed with the qualitative analysis software Atlas.ti. RESULTS: Report management is not done solely for the formality of achieving the target. Implementation of regulations for report management is also done by all hospital staff to prioritize discipline, honesty, and responsibility according to their roles. Staff is expected to report adverse or dangerous events (incidents) that could affect patient safety. The reporting coordinator is responsible for the report’s completeness. Heads of participation room are expected to validate reports. The patient safety team is in charge of analyzing and providing feedback. Supportive attitudes from the board of directors are needed to create a reporting culture. There are several barriers to reporting management, including management support factors, facilities, and an effective feedback system. CONCLUSION: Leaders need to develop staff who focus on discipline, honesty, and responsibility in providing services to patients by prioritizing patient safety. All staff is involved in managing incident reports by playing an active role in following their duties.
3
Chin, Yie-Tong, Shui-Long Shen, An-Nan Zhou, and Jun Chen. "Foundation Pit Collapse on 8 June 2019 in Nanning, China: A Brief Report." Safety 5, no. 4 (October 12, 2019): 68. http://dx.doi.org/10.3390/safety5040068.
Повний текст джерелаАнотація:
This short communication reports on the recent incident of a foundation pit collapse at a construction site on 8 June 2019 in Nanning City of Guangxi Province, China. There were no injuries or casualties reported for this incident. This report presents the incident background, management measures taken after the incident, and a brief discussion of the causes of the incident. Some mitigation measures are suggested to prevent similar incidents in the future based on the preliminary analysis.
4
Collier, Raymond. "The Obama Administration and Incident Response: A Report." Information & Security: An International Journal 34 (2016): 105–20. http://dx.doi.org/10.11610/isij.3408.
Повний текст джерела
5
Morris, M. Robins. "Falsifying an Incident Report." American Journal of Nursing 98, no. 1 (January 1998): 20. http://dx.doi.org/10.1097/00000446-199801000-00033.
Повний текст джерела
6
Backus, Bruce, Cheri Hildreth, Mary Beth Mulcahy, and Morgan Christina. "Texas Tech incident report." Journal of Chemical Health and Safety 20, no. 3 (May 2013): 38. http://dx.doi.org/10.1016/j.jchas.2013.03.202.
Повний текст джерела
7
Kurihara, Masaru, Takashi Watari, Jeffrey M. Rohde, Ashwin Gupta, Yasuharu Tokuda, and Yoshimasa Nagao. "Nationwide survey on Japanese residents’ experience with and barriers to incident reporting." PLOS ONE 17, no. 12 (December 1, 2022): e0278615. http://dx.doi.org/10.1371/journal.pone.0278615.
Повний текст джерелаАнотація:
The ability of any incident reporting system to improve patient care is dependent upon robust reporting practices. However, under-reporting is still a problem worldwide. We aimed to reveal the barriers experienced while reporting an incident through a nationwide survey in Japan. We conducted a cross-sectional survey. All first- and second-year residents who took the General Medicine In-Training Examination (GM-ITE) from February to March 2021 in Japan were selected for the study. The voluntary questionnaire asked participants regarding the number of safety incidents encountered and reported within the previous year and the barriers to reporting incidents. Demographics were obtained from the GM-ITE. The answers of respondents who indicated they had never previously reported an incident (non-reporting group) were compared to those of respondents who had reported at least one incident in the previous year (reporting group). Of 5810 respondents, the vast majority indicated they had encountered at least one safety incident in the past year (n = 4449, 76.5%). However, only 2724 (46.9%) had submitted an incident report. Under-reporting (more safety incidents compared to the number of reports) was evident in 1523 (26.2%) respondents. The most frequently mentioned barrier to reporting an incident was the time required to file the report (n = 2622, 45.1%). The barriers to incident reporting were significantly different between resident physicians who had previously reported and those who had never previously reported an incident. Our study revealed that resident physicians in Japan commonly encounter patient safety incidents but under-report them. Numerous perceived and experienced barriers to reporting remain, which should be addressed if incident reporting systems are to have an optimal impact on improving patient safety. Incident reporting is essential for improving patient safety in an institution, and this study recommends establishing appropriate interventions according to each learner’s barriers for reporting.
8
Webb, R. K., M. Currie, C. A. Morgan, J. A. Williamson, P. Mackay, W. J. Russell, and W. B. Runciman. "The Australian Incident Monitoring Study: An Analysis of 2000 Incident Reports." Anaesthesia and Intensive Care 21, no. 5 (October 1993): 520–28. http://dx.doi.org/10.1177/0310057x9302100507.
Повний текст джерелаАнотація:
The Australian Patient Safety Foundation was formed in 1987; it was decided to set up and co-ordinate the Australian Incident Monitoring Study as a function of this Foundation; 90 hospitals and practices joined the study. Participating anaesthetists were invited to report, on an anonymous and voluntary basis, any unintended incident which reduced, or could have reduced, the safety margin for a patient. Any incident could be reported, not only those which were deemed “preventable” or were thought to involve human error. The Mark I AIMS form was developed which incorporated features and concepts from several other studies. All the incidents in this symposium were reported using this form, which contains general instructions to the reporter, key words and space for a narrative of the incident, structured sections for what happened (with subsections for circuitry incidents, circuitry involved, equipment involved, pharmacological incidents and airway incidents), why it happened (with subsections for factors contributing to the incident, factors minimising the incident and suggested corrective strategies), the type of anaesthesia and procedure, monitors in use, when and where the incident happened, the experience of the personnel involved, patient age and a classification of patient outcome. Enrolment, reporting and data-handling procedures are described. Data on patient outcome are presented; this is correlated with the stages at which the incident occurred and with the ASA status of the patients. The locations at which the incidents occurred and the types of procedures, the sets of incidents analysed in detail and a breakdown of the incidents due to drugs are also presented. The pattern and relative frequencies of the various categories of incidents are similar to those in “closed-claims” studies, suggesting that AIMS should provide information of relevance to those wishing to develop strategies to reduce the incidence and/or impact of incidents and accidents.
9
Teshima, S., Y. Goto, K. Ueno, and T. Utunomiya. "Fertility clinic incident report – occurrence of incidents and measures taken." Fertility and Sterility 100, no. 3 (September 2013): S152. http://dx.doi.org/10.1016/j.fertnstert.2013.07.1537.
Повний текст джерела
10
Lee, Yi-Hsuan, Cheng-Chia Yang, and Te-Tsung Chen. "Barriers to incident-reporting behavior among nursing staff: A study based on the theory of planned behavior." Journal of Management & Organization 22, no. 1 (March 4, 2015): 1–18. http://dx.doi.org/10.1017/jmo.2015.8.
Повний текст джерелаАнотація:
AbstractPrevious studies have identified numerous factors that affect incident-reporting behavior. However, few studies have applied an individual psychology perspective to identify and examine the factors affecting the intention of nursing staff to report incidents. We integrate the theory of planned behavior, organizational behavior, psychological behavior, and social exchange theory to identify which factors affect the intentions of nursing staff to report incidents. Samples were collected from nursing staff at 40 regional or larger hospitals for model verification. The results of this study show that psychological safety, attitude toward reporting incidents, subjective norms, and perceived behavioral control correlate positively with the intention to report incidents. The perceived cost and perceived benefit of incident reporting directly affects the attitude toward incident-reporting behavior, and self-efficacy influences perceived behavioral control. Furthermore, subjective norms and the perceived benefits of incident reporting mediate the effect of psychological safety on attitude toward incident-reporting behavior.
11
New York state policy study group o. "Report on the brinks incident." Terrorism 9, no. 2 (January 1987): 169–206. http://dx.doi.org/10.1080/10576108708435625.
Повний текст джерела
12
B. "Discovering the Errant Incident Report." Caring for the Ages 7, no. 1 (January 2006): 2. http://dx.doi.org/10.1016/s1526-4114(06)60003-6.
Повний текст джерела
13
Carson, Dena, and Natalie Kroovand Hipple. "Comparing Violent and Non-Violent Gang Incidents: An Exploration of Gang-Related Police Incident Reports." Social Sciences 9, no. 11 (November 3, 2020): 199. http://dx.doi.org/10.3390/socsci9110199.
Повний текст джерелаАнотація:
Prior research has established a strong link between gangs and violence. Additionally, this connection is demonstrated across multiple methodologies such as self-report surveys, qualitative interviews, as well as official records. Officially recorded gang data can be increasingly hard to obtain because data collection approaches differ by agency, county, city, state, and country. One method for obtaining official gang data is through the analysis of police incident reports, which often rely on police officers’ subjective classification of an incident as “gang-related.” In this study we examine 741 gang-related incident reports collected over four years from the Indianapolis Metropolitan Police Department. This study will explore reasons why incidents were attributed to gangs as well as compare the characteristics of violent, drug, and non-violent gang-related incidents. This work has implications for understanding the complexities associated with gang incident reports as well as for the commonality of violent gang crimes.
14
Syed, Khajamoinuddin, William Sleeman, Michael Hagan, Jatinder Palta, Rishabh Kapoor, and Preetam Ghosh. "Automatic Incident Triage in Radiation Oncology Incident Learning System." Healthcare 8, no. 3 (August 14, 2020): 272. http://dx.doi.org/10.3390/healthcare8030272.
Повний текст джерелаАнотація:
The Radiotherapy Incident Reporting and Analysis System (RIRAS) receives incident reports from Radiation Oncology facilities across the US Veterans Health Affairs (VHA) enterprise and Virginia Commonwealth University (VCU). In this work, we propose a computational pipeline for analysis of radiation oncology incident reports. Our pipeline uses machine learning (ML) and natural language processing (NLP) based methods to predict the severity of the incidents reported in the RIRAS platform using the textual description of the reported incidents. These incidents in RIRAS are reviewed by a radiation oncology subject matter expert (SME), who initially triages some incidents based on the salient elements in the incident report. To automate the triage process, we used the data from the VHA treatment centers and the VCU radiation oncology department. We used NLP combined with traditional ML algorithms, including support vector machine (SVM) with linear kernel, and compared it against the transfer learning approach with the universal language model fine-tuning (ULMFiT) algorithm. In RIRAS, severities are divided into four categories; A, B, C, and D, with A being the most severe to D being the least. In this work, we built models to predict High (A & B) vs. Low (C & D) severity instead of all the four categories. Models were evaluated with macro-averaged precision, recall, and F1-Score. The Traditional ML machine learning (SVM-linear) approach did well on the VHA dataset with 0.78 F1-Score but performed poorly on the VCU dataset with 0.5 F1-Score. The transfer learning approach did well on both datasets with 0.81 F1-Score on VHA dataset and 0.68 F1-Score on the VCU dataset. Overall, our methods show promise in automating the triage and severity determination process from radiotherapy incident reports.
15
Sieberichs, Sebastian, and Annette Kluge. "Why Commercial Pilots Voluntarily Report Self-Inflicted Incidents." Aviation Psychology and Applied Human Factors 11, no. 2 (September 2021): 98–111. http://dx.doi.org/10.1027/2192-0923/a000216.
Повний текст джерелаАнотація:
Abstract. Voluntary incident reports by commercial pilots provide essential data for airline efforts in learning from incidents (LFI). Because LFI is frequently limited by pilots not reporting incidents voluntarily, we interviewed seven commercial aviation safety experts in a focus group to derive factors influencing the voluntary reporting behavior of pilots’ self-inflicted incidents. As a result, we derived 36 factors and integrated them into a motivational framework by van den Broeck et al. (2019) . Pilots pursue various goals when voluntarily reporting incidents, such as enabling safety-related change or organizational learning. This behavior is influenced by personal antecedents, such as shame, and contextual antecedents, such as feedback. Our work expands the understanding of motivational aspects of voluntary incident reporting and discusses practical interrelations.
16
Badrick, Tony, Stephanie Gay, Mark Mackay, and Ken Sikaris. "The key incident monitoring and management system – history and role in quality improvement." Clinical Chemistry and Laboratory Medicine (CCLM) 56, no. 2 (January 26, 2018): 264–72. http://dx.doi.org/10.1515/cclm-2017-0219.
Повний текст джерелаАнотація:
Abstract Background: The determination of reliable, practical Quality Indicators (QIs) from presentation of the patient with a pathology request form through to the clinician receiving the report (the Total Testing Process or TTP) is a key step in identifying areas where improvement is necessary in laboratories. Methods: The Australasian QIs programme Key Incident Monitoring and Management System (KIMMS) began in 2008. It records incidents (process defects) and episodes (occasions at which incidents may occur) to calculate incident rates. KIMMS also uses the Failure Mode Effects Analysis (FMEA) to assign quantified risk to each incident type. The system defines risk as incident frequency multiplied by both a harm rating (on a 1–10 scale) and detection difficulty score (also a 1–10 scale). Results: Between 2008 and 2016, laboratories participating rose from 22 to 69. Episodes rose from 13.2 to 43.4 million; incidents rose from 114,082 to 756,432. We attribute the rise in incident rate from 0.86% to 1.75% to increased monitoring. Haemolysis shows the highest incidence (22.6% of total incidents) and the highest risk (26.68% of total risk). “Sample is suspected to be from the wrong patient” has the second lowest frequency, but receives the highest harm rating (10/10) and detection difficulty score (10/10), so it is calculated to be the 8th highest risk (2.92%). Similarly, retracted (incorrect) reports QI has the 10th highest frequency (3.9%) but the harm/difficulty calculation confers the second highest risk (11.17%). Conclusions: TTP incident rates are generally low (less than 2% of observed episodes), however, incident risks, their frequencies multiplied by both ratings of harm and discovery difficulty scores, concentrate improvement attention and resources on the monitored incident types most important to manage.
17
Vredeveldt, Annelies, Linda Kesteloo, and Peter J. van Koppen. "Writing Alone or Together: Police Officers’ Collaborative Reports of an Incident." Criminal Justice and Behavior 45, no. 7 (May 10, 2018): 1071–92. http://dx.doi.org/10.1177/0093854818771721.
Повний текст джерелаАнотація:
After witnessing an incident, police officers may write their report collaboratively. We examined how collaboration influences the amount and accuracy of information in police reports. Eighty-six police officers participated, in pairs, in a live training scenario. Officers wrote a report about the incident, either with their partner or individually. Reports by two officers working together (collaborative performance) contained less information than reports by two officers working individually (nominal performance), with no difference in accuracy. After the first report, officers who had worked individually wrote a collaborative report. Police officers who recorded their own memories prior to collaboration included less incorrect information in the collaborative report than police officers who wrote a collaborative report immediately after the incident. Finally, content-focused retrieval strategies (acknowledge, repeat, rephrase, elaborate) during the officers’ discussion positively predicted the amount of information in collaborative reports. Practical recommendations for the police and suggestions for further research are provided.
18
Puangnak, Korn, and Natworapol Rachsiriwatcharabul. "Collection of Road Traffic Incidents in Bangkok from Twitter Data based on Deep Learning Algorithm." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, no. 3 (June 18, 2022): 267–76. http://dx.doi.org/10.37936/ecti-cit.2022163.248535.
Повний текст джерелаАнотація:
Text processing technology from Twitter to report notification formats that are known in many countries with verification on different languages. This research presents the development of a neural network memory learning model. To solve the problem of classifying incidence patterns and identifying severity of incidents from Thai social media messages. For gathering incident data and reporting incidents externally from a single reporting platform by using deep learning models like MLP, CNN and LSTM which is designed by dividing the study into 3 types, including examination traffic incidence identification pattern that can identify the report as general news or traffic reporting Incident Identification Patterns. These include traffic conditions, accidents, disasters, damaged roads, or other than the aforementioned patterns, and the pattern indicating the severity of the incidence consists of normal level, medium level and lane blocking or stationary levels. The results demonstrated the ability of LSTM learning with the best results in incidence detection and incidence pattern identification at 93.44% and 87.40%, respectively, and the CNN method was able to State the severity of the incidence at best, reaching 91.42%.
19
Ikuero, F. E., and W. Zeng. "Improving cybersecurity incidents reporting in Nigeria: micro and small enterprises perspectives." Nigerian Journal of Technology 41, no. 3 (November 2, 2022): 512–20. http://dx.doi.org/10.4314/njt.v41i3.10.
Повний текст джерелаАнотація:
Leveraging on the provisions of the internet enhances the productivity of Micro and Small Enterprises (MSEs), increases industrial growth and their contributions to national prosperity. Every cyber-attack against their businesses should be reported to the requisite incident response body through the appropriate channels for quick recovery from attack. This research examines how the MSEs in Nigeria report cybersecurity incidents. This study surveyed 100 MSEs. The outcome of the research shows that 72% of the MSEs is unaware of the channel of reporting cyber incidents and does not report cyber incidents. Participants totaling 90% believe that the Sectoral Computer Security Incident Response Team (CSIRT) could improve on reporting of cybersecurity incidents through sensitisation. Amongst others, we recommended the Sectoral CSIRTs were to develop an Incident Report and Response Plan (IRRP) for managing cybersecurity incidents in MSEs.
20
Baldwin, I., U. Beckman, L. Shaw, and A. Morrison. "Australian Incident Monitoring Study in Intensive Care: Local Unit Review Meetings and Report Management." Anaesthesia and Intensive Care 26, no. 3 (June 1998): 294–97. http://dx.doi.org/10.1177/0310057x9802600311.
Повний текст джерелаАнотація:
The Australian Incident Monitoring Study in the intensive care unit (AIMS-ICU) is a national study established through nursing and medical collaboration to develop, introduce and evaluate an anonymous voluntary incident reporting system. To ensure incident monitoring results in improved patient safety, it is essential that reported incidents are followed up regularly. Local unit review meetings are an effective forum for discussion and review of reports amongst a wide group of practitioners from the intensive care unit (ICU). All staff should be invited to participate in order to suggest preventative strategies, report on incident follow up and explore national study findings. Ongoing momentum of the project is assisted by highlighting its positive contributions to patient care and safety via newsletters, poster displays and targeted correspondence. New staff require orientation to the reporting system and assurance regarding safety of data. The emphasis must focus on the system, not the individual.
21
Abedin, M. A., V. Ng, and L. Khan. "Cause Identification from Aviation Safety Incident Reports via Weakly Supervised Semantic Lexicon Construction." Journal of Artificial Intelligence Research 38 (August 26, 2010): 569–631. http://dx.doi.org/10.1613/jair.2986.
Повний текст джерелаАнотація:
The Aviation Safety Reporting System collects voluntarily submitted reports on aviation safety incidents to facilitate research work aiming to reduce such incidents. To effectively reduce these incidents, it is vital to accurately identify why these incidents occurred. More precisely, given a set of possible causes, or shaping factors, this task of cause identification involves identifying all and only those shaping factors that are responsible for the incidents described in a report. We investigate two approaches to cause identification. Both approaches exploit information provided by a semantic lexicon, which is automatically constructed via Thelen and Riloff's Basilisk framework augmented with our linguistic and algorithmic modifications. The first approach labels a report using a simple heuristic, which looks for the words and phrases acquired during the semantic lexicon learning process in the report. The second approach recasts cause identification as a text classification problem, employing supervised and transductive text classification algorithms to learn models from incident reports labeled with shaping factors and using the models to label unseen reports. Our experiments show that both the heuristic-based approach and the learning-based approach (when given sufficient training data) outperform the baseline system significantly.
22
Castillo, José C., and H. Rex Hartson. "Critical Incident Data and Their Importance in Remote Usability Evaluation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 37 (July 2000): 590–93. http://dx.doi.org/10.1177/154193120004403712.
Повний текст джерелаАнотація:
Although lab-based formative evaluation is effective for improving usability of user interfaces, it has limitations. Since most software has a life cycle extending well beyond the first release, the need for usability improvement does not end with deployment. To capture post-deployment usability data, we created the user-reported critical incident method, a method for remote, contemporaneous reporting of critical incidents by users for usability improvement. This method provides us with contextualized critical incident data - critical incident reports plus video and/or textual description of task context. Our studies of this self-reported critical incident method for remote usability evaluation show that users, located in their own working environment and with no background in software engineering or human-computer interaction and with the barest minimum of training, can identify, report, and rate the severity level of their own critical incidents during usage.
23
Lama, Sajina, and Dina Khanal. "KNOWLEDGE AND BARRIERS OF INCIDENT REPORT AMONG NURSES IN TEACHING HOSPITAL, BHARATPUR." Journal of Chitwan Medical College 11, no. 3 (September 30, 2021): 115–18. http://dx.doi.org/10.54530/jcmc.430.
Повний текст джерелаАнотація:
Background: An incident report is a formal recording of the facts related to a workplace accident, injury or near miss. So, incident should be reported properly and immediately in effective way which would lead appropriate management and prevention of incident. This study aimed to assess the knowledge and barriers of incident reports among nurses. Methods: A cross-sectional study design was used among nurses working in teaching hospitals. A simple random sampling technique was used to select 208 nurses and data was collected by using self-administered questionnaire from June 18, 2019 to July 18, 2019. Data was analyzed in SPSS version 20 using descriptive statistics and inferential statistics. Results: This study revealed that 73.1% of respondents had poor knowledge on incident report. Whereas common barrier identified by respondents were work complexity (40.4%), fear of blamed (59.1%), lack of protocol (50.0%) and inadequate reporting system (42.3%). Nurses level of knowledge was statistically significant with level of education (p=0.001), professional designation (p=0.001), available guideline (p=0.004) and available reporting format (p=0.014) Conclusions: This finding concluded that nurse’s knowledge is limited on incident reports and number of barrier of incident reporting had been identified. With this information nurses knowledge should be upgraded by providing in service education on incident report and availability of protocol along this hospital administrator should support, ensure anonymity and create a strong safety culture within hospital which will reinforce staff to report incident immediately thus to reduce the reoccurrence of errors and enhance patient’s safety.
24
Wanda, Maria Yuventa, Nursalam Nursalam, and Andri Setiya Wahyudi. "Analisis Faktor yang Mempengaruhi Pelaporan Insiden Keselamatan Pasien pada Perawat." Fundamental and Management Nursing Journal 3, no. 1 (April 1, 2020): 15. http://dx.doi.org/10.20473/fmnj.v3i1.17284.
Повний текст джерелаАнотація:
Introduction: Patient Safety Incident Report hereinafter referred to as incident reporting, is a system of documenting patient safety incident reports, analyzing and obtaining recommendations and solutions from the health care facility patient safety team. This study aims to analyze the factors of work experience, education, perceptions, attitudes, motivation, leadership towards reporting patient safety incidents to nurses in the inpatient room of Prof. Dr. W. Z. Johannes Kupang.Method: The design of this study was cross-sectional. The sample size of the study was 143 respondents who met the inclusion criteria. The dependent variable is the reporting of patient safety incidents, while the independent variables are work experience, education, perception, attitude, motivation, leadership. Data were collected using a questionnaire and observation on nurses. Data were then analyzed using multiple logistic regression with a significant value < 0.05.Results: The results show that there is a perception effect on patient safety incident reporting (p = 0.05) and leadership influence on patient safety incident reporting (p = 0.02).Conclusion: The concludes is that there is an influence of perception and leadership on reporting patient safety incidents. Further researchers are advised to research the effect of training on improving patient safety incident reporting.
25
Iro, Chinedu J., Nnamdi Nkire, and John O'Connor. "Violence and aggression at a substance misuse treatment clinic in Ireland." Psychiatrist 35, no. 6 (June 2011): 216–19. http://dx.doi.org/10.1192/pb.bp.110.031468.
Повний текст джерелаАнотація:
Aims and methodTo report the rates of violent and aggressive incidents at a drug treatment clinic using a newly introduced incident reporting tool (STARSWeb) and to describe the management strategies currently employed in the management of incidents at the centre. This involved the review of all completed incident reports for the year 2008 and the examination of relevant patient factors.ResultsThere were 276 documented incidents at the centre in 2008. The majority of incidents (72.4%) involved verbal abuse and threatening behaviours. Males were responsible for the majority of incidents. Two-thirds of the clients' urine samples were positive for illicit substances at the time of the incidents.Clinical implicationsViolent and aggressive incidents in healthcare settings continue to pose a real challenge to both service providers and service users. An accurate system of reporting of such incidents is indispensable in guiding policy development and management strategies. The STARSWeb system offers a significant improvement in incident reporting towards the attainment of these goals.
26
Brady, Patrick Q., and Matt R. Nobles. "The Dark Figure of Stalking: Examining Law Enforcement Response." Journal of Interpersonal Violence 32, no. 20 (July 30, 2015): 3149–73. http://dx.doi.org/10.1177/0886260515596979.
Повний текст джерелаАнотація:
Despite the growing body of scholarship on stalking victimization, the criminal justice system’s response has been substantially understudied. Although scholars consider stalking to be a significant issue, its prevalence is not echoed in official data representing stalking arrests and convictions. The disparity between prevalence estimates and official data reinforces a “dark figure” of stalking that warrants further examination. To develop a better understanding of underreporting and/or underrecording, this exploratory study used official data from the Houston Police Department to examine police response to stalking. Findings indicated that, compared with other interpersonal crimes, incidents of stalking are dramatically underrecorded. Over an 8-year period, there were a total of 3,756 stalking calls for service, 66 stalking-related incident reports, and only 12 arrests for stalking. However, not one of the stalking calls for service generated a stalking-related incident report nor an arrest for stalking. Of the stalking calls for service that did generate an incident report, the large majority of the reports were classified as either harassment or a violation of a protective order. Furthermore, incident reports and arrests for stalking generally emerged from calls for service for harassment or terroristic threats. Implications for research and policy are discussed.
27
Wang, Ying, Enrico Coiera, and Farah Magrabi. "Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?" Journal of the American Medical Informatics Association 27, no. 10 (June 18, 2020): 1502–9. http://dx.doi.org/10.1093/jamia/ocaa082.
Повний текст джерелаАнотація:
Abstract Objective The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity. Materials and Methods Binary support vector machine (SVM) classifier ensembles were trained and validated using balanced datasets of critical incident report texts (n_type = 2860, n_severity = 1160) collected from a state-wide reporting system. Generalizability was evaluated on different and independent hospital-level reporting system. Concepts were extracted from report narratives using the UMLS Metathesaurus, and their relevance and frequency were used as semantic features. Performance was evaluated by F-score, Hamming loss, and exact match score and was compared with SVM ensembles using bag-of-words (BOW) features on 3 testing datasets (type/severity: n_benchmark = 286/116, n_original = 444/4837, n_independent =6000/5950). Results SVMs using semantic features met or outperformed those based on BOW features to identify 10 different incident types (F-score [semantics/BOW]: benchmark = 82.6%/69.4%; original = 77.9%/68.8%; independent = 78.0%/67.4%) and extreme-risk events (F-score [semantics/BOW]: benchmark = 87.3%/87.3%; original = 25.5%/19.8%; independent = 49.6%/52.7%). For incident type, the exact match score for semantic classifiers was consistently higher than BOW across all test datasets (exact match [semantics/BOW]: benchmark = 48.9%/39.9%; original = 57.9%/44.4%; independent = 59.5%/34.9%). Discussion BOW representations are not ideal for the automated identification of incident reports because they do not account for text semantics. UMLS semantic representations are likely to better capture information in report narratives, and thus may explain their superior performance. Conclusions UMLS-based semantic classifiers were effective in identifying incidents by type and extreme-risk events, providing better generalizability than classifiers using BOW.
28
Evans, Huw Prosser, Athanasios Anastasiou, Adrian Edwards, Peter Hibbert, Meredith Makeham, Saturnino Luz, Aziz Sheikh, Liam Donaldson, and Andrew Carson-Stevens. "Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches." Health Informatics Journal 26, no. 4 (March 7, 2019): 3123–39. http://dx.doi.org/10.1177/1460458219833102.
Повний текст джерелаАнотація:
Learning from patient safety incident reports is a vital part of improving healthcare. However, the volume of reports and their largely free-text nature poses a major analytic challenge. The objective of this study was to test the capability of autonomous classifying of free text within patient safety incident reports to determine incident type and the severity of harm outcome. Primary care patient safety incident reports (n=31333) previously expert-categorised by clinicians (training data) were processed using J48, SVM and Naïve Bayes. The SVM classifier was the highest scoring classifier for incident type (AUROC, 0.891) and severity of harm (AUROC, 0.708). Incident reports containing deaths were most easily classified, correctly identifying 72.82% of reports. In conclusion, supervised ML can be used to classify patient safety incident report categories. The severity classifier, whilst not accurate enough to replace manual processing, could provide a valuable screening tool for this critical aspect of patient safety.
29
Mursid, Aco, Elly L. Sjattar, and Rosyidah Arafat. "Hambatan Pelaporan Insiden Keselamatan Pasien : A Literature ReviewHambatan Pelaporan Insiden Keselamatan Pasien: A Literature Review." Jurnal Penelitian Kesehatan "SUARA FORIKES" (Journal of Health Research "Forikes Voice") 12, no. 3 (February 6, 2021): 231. http://dx.doi.org/10.33846/sf12302.
Повний текст джерелаАнотація:
Reports of patient safety incidence at health service provider have yet been optimized. Report rates are still low and health service providers were facing obstacles in reporting incidents. Therefore, the purpose of this study was to identify obstacles in reporting patient safety incidents. A literature review was the method of choice in this study. Literature sources were obtained from the Pubmed and Ebsco Medline databases based on inclusion criteria. Based on the literature search results that have been done, we get as many as six (n = 6) articles. The obstacles that were found in reporting incidents are the negatif impact felt by the reporter, the lack of time in reporting incidents, lack of feedback, certain types of incidents reported, lack of knowledge, incidence reports were not considered as obligation, lack of clarity on who should report, lack of anonymity, and reporting system that has yet been optimized. Meanwhile, the ways to overcome these obstacles are improving and increasing report rates, giving feedback, increasing anonymity and secrecy, as well as giving the reward, education, and training for incident reports. As conclusion, obstacles in reporting incidence surely can hinder patient safety and therefore need to be resolved. Commitment from policy maker were necessary in improving patient’s safety incident reporting system.
Keywords: obstacles; incidence report; patient safety
ABSTRAK
Pelaporan insiden keselamatan pasien di pelayanan kesehatan saat ini belum optimal. Tingkat pelaporan masih rendah, petugas kesehatan masih merasakan kendala dalam melaporkan kejadian. Oleh karena itu, tujuan dari penelitian ini adalah untuk mengidentifikasi hambatan dalam pelaporan insiden keselamatan pasien. Metode yang digunakan dalam studi ini adalah literature review. Sumber literatur didapatkan dari basis data Pubmed dan Ebsco Medline berdasarkan kriteria inklusi. Berdasarkan hasil pencarian literatur yang telah dilakukan, kami mendapatkan sebanyak enam (n=6) artikel. Hambatan pelaporan insiden yang ditemukan dalam penelitian ini adalah adanya dampak negatif yang dirasakan oleh pelapor, kurangnya waktu melaporkan insiden, kurangnya umpan balik, jenis insiden tertentu yang dilaporkan, kurangnya pengetahuan, pelaporan tidak dianggap sebagai kewajiban, kurangnya kejelasan tentang siapa yang harus melaporkan, kurangnya anonimitas, dan sistem pelaporan yang belum optimal. Sedangkan cara mengatasi hambatan atau fasilitator pelaporan insiden adalah mengembangkan dan meningkatkan sistem pelaporan, memberikan umpan balik, meningkatkan anonimitas dan kerahasiaan, serta memberikan penghargaan, pendidikan dan pelatihan tentang sistem pelaporan insiden. Sebagai kesimpulan, hambatan dalam melaporkan insiden tentunya menghambat peningkatan keselamatan pasien sehingga diperlukan upaya untuk mengatasinya. Komitmen para pembuat kebijakan memainkan peran penting dalam meningkatkan sistem pelaporan insiden keselamatan pasien.
Kata kunci: hambatan; pelaporan insiden; keselamatan pasien
30
Pettersson, Ulrica. "A New Incident Report Form Leads to Improved Foundation for the Lessons Learned Cycle." International Journal of Information Systems for Crisis Response and Management 4, no. 3 (July 2012): 14–22. http://dx.doi.org/10.4018/jiscrm.2012070102.
Повний текст джерелаАнотація:
Collection after incidents is regularly done through pre-printed incident report forms. The reports tend to be incomplete. They frequently lack fundamental information since they do not fulfill criteria’s of a scope and details. One consequence is that reports with inadequate information and do not fulfill requirements of analysts are transferred into the analysis process. To improve, the author designed a new structured incident reporting form, based upon witness psychology, interview, and questionnaire research with focus on analysts’ requests. This is the third experiment where they compared their new structured form to the form at present used in the Swedish Armed Forces (NATO standard). The two previous experiments showed significant enhanced results regarding quality of collected information, and that the new form could capture knowledge, regardless of the character or context of the incidents. The present experiment evaluates the form in a military context, and the significant result from an earlier experiment was replicated.
31
Sieberichs, Sebastian, and Annette Kluge. "Why Learning Opportunities From Aviation Incidents Are Lacking." Aviation Psychology and Applied Human Factors 11, no. 1 (March 2021): 33–47. http://dx.doi.org/10.1027/2192-0923/a000204.
Повний текст джерелаАнотація:
Abstract. The rising trend of fatal aircraft accidents since 2018 suggests a limited safety capability of airlines in terms of learning from incidents (LFI). We evaluated 2,208 voluntary incident reports from commercial European pilots using qualitatively driven mixed methods to investigate LFI “bottlenecks.” The results showed that the report frequency depends on the type of pilots’ active failure causing the incident (performance‐based errors, judgment and decision‐making errors and violations). Learning opportunities were lacking, especially for incidents caused by pilots’ inadequate decision-making. Confidential reporting has positive effects on LFI, as these reports contained more information about latent failures. Furthermore, we identified several latent failures that are risk factors for certain unsafe acts. Our results may support airlines in various LFI activities.
32
Ignaco, Mary Ann E. "Mobile Application for Incident Reporting." JOIV : International Journal on Informatics Visualization 5, no. 4 (December 25, 2021): 388. http://dx.doi.org/10.30630/joiv.5.4.741.
Повний текст джерелаАнотація:
In the Philippines, reporting an incident always depends on self-reporting to the nearest law enforcer's office or calling a channel using a mobile phone. 911 is the National Emergency hotline to get assistance when an emergency occurs. However, the emergency hotline operated by the Emergency Network Philippines (ENP), cannot retrieve the reporter's location details immediately. Only when the reporters describe the exact location clearly. Yet, many circumstances that the reporters do not know when they are, or sometimes they have imprecise position information. Then, the law enforcers team may not be able to come to the right place efficiently on time. The incident reporting application incorporates the three types of incidents, classified as public disturbance, ordinance violation, and crime incident. To report an incident the application will automatically get the latitude and longitude of the mobile user or an option to manually pinned the location on the google map include also the incident type, description, and photos will be sent to the nearest barangay responder officer. The barangay responder officer able to request a backup officer, the rescue emergency unit such as a hospital ambulance or firefighters, or transfer a report to the nearest police station. The system also manages web admin for responder locations and generates statistical reports including charts and graphs. The positive feedback of the participants during the evaluation stage signifies that the application was accepted as tested and verified by the evaluation results.
33
Marcilly, Romaric, Jessica Schiro, Marie Catherine Beuscart-Zéphir, and Farah Magrabi. "Building Usability Knowledge for Health Information Technology: A Usability-Oriented Analysis of Incident Reports." Applied Clinical Informatics 10, no. 03 (May 2019): 395–408. http://dx.doi.org/10.1055/s-0039-1691841.
Повний текст джерелаАнотація:
Background The contribution of usability flaws to patient safety issues is acknowledged but not well-investigated. Free-text descriptions of incident reports may provide useful data to identify the connection between health information technology (HIT) usability flaws and patient safety. Objectives This article examines the feasibility of using incident reports about HIT to learn about the usability flaws that affect patient safety. We posed three questions: (1) To what extent can we gain knowledge about usability issues from incident reports? (2) What types of usability flaws, related usage problems, and negative outcomes are reported in incidents reports? (3) What are the reported usability issues that give rise to patient safety issues? Methods A sample of 359 reports from the U.S. Food and Drug Administration Manufacturer and User Facility Device Experience database was examined. Descriptions of usability flaws, usage problems, and negative outcomes were extracted and categorized. A supplementary analysis was performed on the incidents which contained the full chain going from a usability flaw up to a patient safety issue to identify the usability issues that gave rise to patient safety incidents. Results A total of 249 reports were included. We found that incident reports can provide knowledge about usability flaws, usage problems, and negative outcomes. Thirty-six incidents report how usability flaws affected patient safety (ranging from incidents without consequence, to death) involving electronic patient scales, imaging systems, and HIT for medication management. The most significant class of involved usability flaws is related to the reliability, the understandability, and the availability of the clinical information. Conclusion Incidents reports involving HIT are an exploitable source of information to learn about usability flaws and their effects on patient safety. Results can be used to convince all stakeholders involved in the HIT system lifecycle that usability should be considered seriously to prevent patient safety incidents.
34
Pierson, Cameron M. "The critical incident negotiation process of public librarians in Aotearoa New Zealand." Open Information Science 6, no. 1 (January 1, 2022): 1–15. http://dx.doi.org/10.1515/opis-2022-0127.
Повний текст джерелаАнотація:
Abstract This paper reports findings from interviews with practicing public librarians in Aotearoa New Zealand. It details respondent understanding of influences on perception and behaviour, and critical incidents as they relate to librarian professional identity. In-depth semi-structed interviews were conducted with forty practicing public librarians. Interviews were analysed with an inductive approach. Findings report on sample tendencies of dominant influences on practitioners’ perception and behaviour, impacting professional identity development over time. Dominant influences are respondent understanding of the strongest aspect they understand to influence their professional identity for both their individual perception of their professional identity and social factors influencing their professional behaviour. Findings also report on the identity negotiation process prompted by critical incidents, whose criticality is reliant on individual perception of incident in relation to professional identity. This process outlines affective response to the critical incident as a gateway to identity negotiations, leading to a discovery and/or growth of an identity facet, which will either affirm or undermine identity understanding. This process may be iterative, as meaning ascribed to the incident may change over time. Three theoretical propositions are presented articulating the role of dominant influences and critical incidents on identity negotiations of public librarian professional identity.
35
Alzhaxina, Gaukhar, and Gulnar Kurenkeyeva. "Risk Identification System Based on an Incident Report in a Healthcare Organization." Journal of Health Development 1, no. 41 (2021): 75–81. http://dx.doi.org/10.32921/2225-9929-2021-1-41-75-81.
Повний текст джерелаАнотація:
The aim: To assess the risk identification system based on the incident report, the existing incident reporting system, and factors affecting the structure of incidents in the healthcare organization. Methods. Within the framework of this study, personnel were questioned on the knowledge and use of the incident reporting system related to the provision of medical treatment and care. To collect primary information, a questionnaire was developed, statistical processing of the research results was carried out by the method of calculating the relative risk (RR) using the Stat Tech program, on the website "Medical statistics". Results. All employees (100%) are aware of the incident reporting system. Personnel were more likely to use the incident reporting system as a way to deal with business and organizational issues. The knowledge of events that must be reported were rated equally by the doctors and the nurse (70%; RR - 1.0; C1 0.83 - 1.19). The nurse was more afraid of criticism than doctors (56% versus 66%; RR - 1.18; CI 95%; C1 0.94 - 1.47). Doctors rated the priority of filling out a report lower than a nurse (52% versus 58%; RR - 0.89; CI 95%; C1 0.69 - 1.15). The value and convenience of filling out the report were assessed by the doctors and the nurse equally (64%; RR - 1.0; CI 95%; C1 0.82 - 1.23). Conclusion. Medical personnel have a positive view of the incident reporting system, however, lack of knowledge of specific reported events, poor safety culture, and lack of feedback are the main factors hindering the effectiveness of the system. Developing a list of specific health care events to be reported will enhance the effectiveness of incident reporting as a risk management tool. Keywords: healthcare system, risk management, patient safety, incident, incident report.
36
Saputra, Muhammad Fauzi, Alimin Maidin, Anwar Mallongi, and Syamsuddin Syamsuddin. "Analysis Implementation System Incident Report With Method Realist Evaluation at Siloam Hospitals Balikpapan 2018." Open Access Macedonian Journal of Medical Sciences 8, T2 (September 15, 2020): 152–56. http://dx.doi.org/10.3889/oamjms.2020.5214.
Повний текст джерелаАнотація:
BACKGROUND: According to Permenkes No. 11 Tahun 2017, patient safety incidents are any unintended or unexpected incident which could have, or did, lead to harm that could be prevented to patient. Incident reporting system which designed to obtain information about patient safety is used for individual and organization learning.
AIM: This study aimed to analyze the increased success of incident report at Siloam Hospitals Balikpapan.
METHODS: Research design which used is qualitative research with the case study research type and the realist evaluation approach.
RESULTS: The data collection is done through observation and profound interview to five officers who’s in charge of incident reporting process at Siloam Hospitals Balikpapan. The data processing uses content analysis. The result shows that incident reporting system’s implementation at Siloam Hospitals Balikpapan which seen from the side of context mechanism outcome has been working well.
CONCLUSION: The conclusion of this research defines that the implementation’s success due to incident reporting program is accorded by reporting guide which has been legitimated by hospital’s directors, human resources who have been equipped with training about reporting program facilitate the reporting process and Head Quality Risk as responsible division to the incident reporting process has high responsibility to the program.
37
Koul, Archna, Jayashree Sood, and Rashmi Jain. "A critical incident report: Propofol triggered anaphylaxis." Indian Journal of Anaesthesia 55, no. 5 (2011): 530. http://dx.doi.org/10.4103/0019-5049.89898.
Повний текст джерела
38
ITO, Kazumoto, Akira YAMAGUCHI, Yusaku WADA, Masaki MORISHITA, Osamu MIYAKE, Kazumi AOTO, Kunio OKABAYASHI, Kiminori SHIBA, Yoshinari ANODA, and Saburo MATSUOKA. "Technical Report on Monju's Sodium Leak Incident." Journal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan 39, no. 9 (1997): 704–32. http://dx.doi.org/10.3327/jaesj.39.704.
Повний текст джерела
39
Morris, M. Robin. "The Legal Side: Falsifying an Incident Report." American Journal of Nursing 98, no. 1 (January 1998): 20. http://dx.doi.org/10.2307/3471822.
Повний текст джерела
40
Iversen, Judith King. "A Combined Incident and Quality Management Report." Home Health Care Management & Practice 9, no. 6 (October 1997): 67–78. http://dx.doi.org/10.1177/108482239700900613.
Повний текст джерела
41
Johnson, Virginia P. "Taming the scourge of incident report analysis." Perspectives in Healthcare Risk Management 10, no. 2 (September 2, 2009): 9–12. http://dx.doi.org/10.1002/jhrm.5600100205.
Повний текст джерела
42
De Kimpe, Lies, Michel Walrave, Thom Snaphaan, Lieven Pauwels, Wim Hardyns, and Koen Ponnet. "Research Note: An Investigation of Cybercrime Victims’ Reporting Behavior." European Journal of Crime, Criminal Law and Criminal Justice 29, no. 1 (April 13, 2021): 66–78. http://dx.doi.org/10.1163/15718174-bja10019.
Повний текст джерелаАнотація:
Abstract Even though the dark number is especially high for cybercrimes, it is unclear by whom and to whom cybercrime is reported. Therefore, this study will answer the following questions: (1) who reports cybercrime incidents, and (2) to whom do victims report cybercrime? Analyses based on survey data including 334 recent cybercrime victims, indicate that 73.4% of victims do not report the incident. Cybercrime victims who do report are significantly older. In addition, 40.4% of the reporting victims notified the police, while others contacted a wide diversity of organizations. Based on these results, awareness raising campaigns should especially encourage young victims to report cybercrime incidents to the police. It would moreover be useful to appoint and promote a more centralized reporting channel.
43
Tristantia, Arfella Dara. "EVALUASI SISTEM PELAPORAN INSIDEN KESELAMATAN PASIEN DI RUMAH SAKIT." Jurnal Administrasi Kesehatan Indonesia 6, no. 2 (December 7, 2018): 83. http://dx.doi.org/10.20473/jaki.v6i2.2018.83-94.
Повний текст джерелаАнотація:
Background: Incident reporting systems are designed to obtain information about patient safety and used for organizational and individual learning.Aims: The objective is to evaluate the implementation of patient safety incident reporting system at a hospital of Surabaya.Method: This study was an observational descriptive research supported by qualitative data. This study used Health Metrics Network (HMN) model.Results: The results of the input evaluation show that there was a policy that regulates the incident report, but its implementation was still not appropriate with no direct funding. However, facilities were provided for reporting. There were socialization for employees who have different understanding and responsibility, organizational structure of the patient safety team, problem solving method which had not used PDSA (Plan, Do, Study, Action), and computerized technology.Conclusion: The process evaluation shows that the indicators were in line with the rules. The data sources were in accordance with the guidelines. Data collection, process, presentation, and analysis were in line with the theory. The output evaluation shows the submission of incident reports had not been timely. Moreover, the report was complete and suitable to the existing guidelines, and it had been used for decision-making. It is required for the hospital to revise the guidebook of incidence reporting and improve the human resource skill.Keywords: evaluation, incident, patient safety, reporting
44
Breindahl, Niklas, Kirstine Friderichsen Strange, Doris Østergaard, and Helle Collatz Christensen. "Evaluation of a critical incident management system on mental health in lifeguard organisations: a retrospective study." BMJ Open Sport & Exercise Medicine 9, no. 1 (January 2023): e001499. http://dx.doi.org/10.1136/bmjsem-2022-001499.
Повний текст джерелаАнотація:
BackgroundLifeguards may face many life-threatening situations during their careers and may be at increased risk of post-traumatic stress disorder (PTSD). Minimal evidence concerning critical incident management systems in lifeguard organisations exists.ObjectivesTo develop, implement and evaluate an operational system for critical incident management in lifeguard organisations.MethodsThis retrospective study included data on occupational injury reports from 2013 to 2022 in TrygFonden Surf Lifesaving Denmark. All active lifeguards were invited to evaluate the system and the individual steps using an online questionnaire with three questions rated on a 5-point Likert scale. Primary outcome was a change in the frequency of psychological injury reports after system implementation in 2020. The secondary outcome was the lifeguards’ satisfaction with the system.ResultsAfter implementation, the average annual number of psychological injury reports increased 6.5-fold from 2 (2013–2019) to 13 (2020–2022), without changes to the number of critical incidents attended by the lifeguards. Sixty-six (33.8%) active lifeguards answered the questionnaire and agreed that follow-up after critical incidents was very important (mean score 4.7/5). Satisfaction with steps 1–2 and 3 of critical incident management among involved lifeguards was high (mean score 4.4/5 and 4.6/5, respectively). The system included an operational workflow diagram and incident report template presented in this study.ConclusionsThe operational system for critical incident management may improve early recognition of symptoms for the prevention of PTSD. It may be used as a screening and decision tool for referral to a mental health professional.
45
Graham, Amanda, Teresa C. Kulig, and Francis T. Cullen. "Willingness to report crime to the police." Policing: An International Journal 43, no. 1 (December 17, 2019): 1–16. http://dx.doi.org/10.1108/pijpsm-07-2019-0115.
Повний текст джерелаАнотація:
Purpose The purpose of this paper is to understand the reporting intentions of traditional and cybercrime victimization, and the role of procedural justice in explaining sources of variation. Design/methodology/approach Using Amazon’s MTurk program for opt-in survey participation, 534 respondents across the USA considered ten victimization incidents and expressed their likelihood of reporting each incident to the police as well as their belief that the police would identify and arrest the offender. Findings As expected, reporting intentions increased with the seriousness of the incident for both traditional crime and cybercrime. However, reporting intentions were generally slightly higher for incidents that occurred in the physical world, as opposed to online. Likewise, beliefs that police could identify and arrest and offender were lower for cybercrime compared to traditional crime. Consistently, predictors of reporting to the police and belief in police effectiveness hinged heavily on procedural justice. Other predictors for these behaviors and beliefs are also discussed. Originality/value This study uniquely compares reporting intentions of potential victims of parallel victimizations occurring in-person and online, thus providing firm comparisons about reporting intentions and beliefs about police effectiveness in addressing traditional and cybercrime.
46
Hudson, Darren, and Andrew P. Jones. "A 3-year review of MRI safety incidents within a UK independent sector provider of diagnostic services." BJR|Open 1, no. 1 (July 2019): bjro.20180006. http://dx.doi.org/10.1259/bjro.20180006.
Повний текст джерелаАнотація:
A review of MRI safety incidents conducted over a 3-year period for a large independent sector diagnostic imaging provider in the UK. The review took a systematic approach using reports logged on an internal incident reporting system that were then categorised and analysed for themes and trends. Notable cases and actions taken are also described from within the period. MRI safety-related events made up 7.5% of the total number of incident reports submitted and 15.5% of all MRI-related reports. The MR safety-related incidence report rate was 0.05% (1 per 1987 patients), which is relatively low considering the number of patients seen in our facilities each day. Internal MRI safety events indicated the main trends to be around referral of contraindicated devices (32% of reports) and failure in the screening process (21.5%—either due to unexpected implants or being unable to confirm safety). To improve practice and work to reduce incidents, advice and instructional materials were developed. The review suggests a potential approach to categorisation of MRI-related safety events which could allow comparisons to be made across organisations, helping to look for trends and guide learning. It also provides insight into the state of MRI safety within the organisation, a rationale for some of the interventions introduced to improve safety, and discussion around common issues arising in MRI safety.
47
Yamamoto-Takiguchi, Natsuki, Takashi Naruse, Mahiro Fujisaki-Sueda-Sakai, and Noriko Yamamoto-Mitani. "Characteristics of Patient Safety Incident Occurrences Reported by Japanese Homecare Nurses: A Prospective Observational Study." Nursing Reports 11, no. 4 (December 14, 2021): 997–1005. http://dx.doi.org/10.3390/nursrep11040090.
Повний текст джерелаАнотація:
Patient safety incidents (PSIs) prevention is important in healthcare because PSIs affect patients negatively and increase medical costs and resource use. However, PSI knowledge in homecare is limited. To analyze patient safety issues and strategies, we aimed to identify the characteristics and contexts of PSI occurrences in homecare settings. A prospective observational study was conducted between July and November 2017 at 27 Japanese homecare nurse (HCN) agencies. HCNs at each agency voluntarily completed PSI reports indicating whether they contributed to PSIs or were informed of a PSI by the client/informal caregiver/other care provider during a period of three months. A total of 139 PSIs were analyzed, with the most common being falls (43.9%), followed by medication errors (25.2%). Among the PSIs reported to the HCN agencies, 44 were recorded on formal incident report forms, whereas 95 were reported as PSIs that required a response (e.g., injury care) but were not recorded on formal incident report forms. Most PSIs that occurred when no HCN was visiting were not recorded as incident reports (82.1%). Developing a framework/system that can accumulate, analyze, and share information on PSIs that occur in the absence of HCNs may provide insights into PSIs experienced by HCN clients.
48
Hammer, Erika, Tom Farrell, Josef Dubicki, Sara Kaune, Julie Kraus, Brian Liszewski, Lyndon Morley, et al. "The Radiation Incident Safety Committee Incident Report Guidance Tree: A Tool to Support Provincial and National Incident Sharing." Journal of Medical Imaging and Radiation Sciences 53, no. 2 (June 2022): S8. http://dx.doi.org/10.1016/j.jmir.2022.04.024.
Повний текст джерела
49
Wang, Ying, Enrico Coiera, and Farah Magrabi. "Using convolutional neural networks to identify patient safety incident reports by type and severity." Journal of the American Medical Informatics Association 26, no. 12 (August 28, 2019): 1600–1608. http://dx.doi.org/10.1093/jamia/ocz146.
Повний текст джерелаАнотація:
Abstract Objective To evaluate the feasibility of a convolutional neural network (CNN) with word embedding to identify the type and severity of patient safety incident reports. Materials and Methods A CNN with word embedding was applied to identify 10 incident types and 4 severity levels. Model training and validation used data sets (n_type = 2860, n_severity = 1160) collected from a statewide incident reporting system. Generalizability was evaluated using an independent hospital-level reporting system. CNN architectures were examined by varying layer size and hyperparameters. Performance was evaluated by F score, precision, recall, and compared to binary support vector machine (SVM) ensembles on 3 testing data sets (type/severity: n_benchmark = 286/116, n_original = 444/4837, n_independent = 6000/5950). Results A CNN with 6 layers was the most effective architecture, outperforming SVMs with better generalizability to identify incidents by type and severity. The CNN achieved high F scores (> 85%) across all test data sets when identifying common incident types including falls, medications, pressure injury, and aggression. When identifying common severity levels (medium/low), CNN outperformed SVMs, improving F scores by 11.9%–45.1% across all 3 test data sets. Discussion Automated identification of incident reports using machine learning is challenging because of a lack of large labelled training data sets and the unbalanced distribution of incident classes. The standard classification strategy is to build multiple binary classifiers and pool their predictions. CNNs can extract hierarchical features and assist in addressing class imbalance, which may explain their success in identifying incident report types. Conclusion A CNN with word embedding was effective in identifying incidents by type and severity, providing better generalizability than SVMs.
50
Lihan, Kang. "Systemic Functional Grammar Analysis of News Reports of Li Wenliang Incident." Advances in Language and Literary Studies 11, no. 5 (October 30, 2020): 12. http://dx.doi.org/10.7575/aiac.alls.v.11n.5p.12.
Повний текст джерелаАнотація:
Based on a report on Dr. Li Wenliang in the British mainstream BBC media under the epidemic of Covid-2019, this paper analyzes from three perspectives guided by Halliday’s Systemic Functional Grammar: transitivity, mood and personal pronoun. It is found that the material process appears most frequently which shows that the news reports mainly reproduce the event process. The second is the verbal process, which shows that news reports are good at making use of multi-channel speech sources to enhance the authority and objectivity of reports. The third is the relational process and psychological process, which reflects the subtlety of news report content and the concealment of attitude. This paper reveals the ideological direction implied in the news reports through seemingly neutral and objective reports, aiming at providing reference for readers in the process of reading Chinese and foreign political discourse.