Mixed methods evaluation of a specialty-specific system to promote physician engagement in safety and quality reporting in a large academic health system.

BACKGROUND: Incident reporting systems (IRS) can improve care quality and patient safety, yet their impact is limited by clinician engagement. Our objective was to assess barriers to reporting in a hospital-wide IRS and use data to inform ongoing improvement of a specialty-specific IRS embedded in the electronic health record targeting anaesthesiologists. METHODS: This quality improvement (QI) evaluation used mixed methods, including qualitative interviews, faculty surveys and user data from the specialty-specific IRS. We conducted 24 semi-structured interviews from January to May 2023 in a large academic health system in Northern California. Participants included adult and paediatric anaesthesiologists, operating room nurses, surgeons and QI operators, recruited through convenience and snowball sampling. We identified key themes and factors influencing engagement, which were classified using the Systems Engineering Initiative for Patient Safety framework. We surveyed hospital anaesthesiologists in January and May 2023, and characterised the quantity and type of reports submitted to the new system. RESULTS: Participants shared organisation and technology-related barriers to engagement in traditional system-wide IRSs, many of which the specialty-specific IRS addressed-specifically those related to technological access to the system. Barriers related to building psychological safety for those who report remain. Survey results showed that most barriers to reporting improved following the specialty-specific IRS launch, but limited time remained an ongoing barrier (25 respondents out of 44, 56.8%). A total of 964 reports with quality/safety concerns were submitted over the first 8 months of implementation; 47-76 unique anaesthesiologists engaged per month. The top safety quality categories of concern were equipment and technology (25.9%), clinical complications (25.3%) and communication and scheduling (19.9%). CONCLUSIONS: These findings suggest that a specialty-specific IRS can facilitate increased physician engagement in quality and safety reporting and complement existing system-wide IRSs.

Digital Maturity as a Predictor of Quality and Safety Outcomes in US Hospitals: Cross-Sectional Observational Study.

BACKGROUND: This study demonstrates that digital maturity contributes to strengthened quality and safety performance outcomes in US hospitals. Advanced digital maturity is associated with more digitally enabled work environments with automated flow of data across information systems to enable clinicians and leaders to track quality and safety outcomes. This research illustrates that an advanced digitally enabled workforce is associated with strong safety leadership and culture and better patient health and safety outcomes. OBJECTIVE: This study aimed to examine the relationship between digital maturity and quality and safety outcomes in US hospitals. METHODS: The data sources were hospital safety letter grades as well as quality and safety scores on a continuous scale published by The Leapfrog Group. We used the digital maturity level (measured using the Electronic Medical Record Assessment Model [EMRAM]) of 1026 US hospitals. This was a cross-sectional, observational study. Logistic, linear, and Tweedie regression analyses were used to explore the relationships among The Leapfrog Group's Hospital Safety Grades, individual Leapfrog safety scores, and digital maturity levels classified as advanced or fully developed digital maturity (EMRAM levels 6 and 7) or underdeveloped maturity (EMRAM level 0). Digital maturity was a predictor while controlling for hospital characteristics including teaching status, urban or rural location, hospital size measured by number of beds, whether the hospital was a referral center, and type of hospital ownership as confounding variables. Hospitals were divided into the following 2 groups to compare safety and quality outcomes: hospitals that were digitally advanced and hospitals with underdeveloped digital maturity. Data from The Leapfrog Group's Hospital Safety Grades report published in spring 2019 were matched to the hospitals with completed EMRAM assessments in 2019. Hospital characteristics such as number of hospital beds were obtained from the CMS database. RESULTS: The results revealed that the odds of achieving a higher Leapfrog Group Hospital Safety Grade was statistically significantly higher, by 3.25 times, for hospitals with advanced digital maturity (EMRAM maturity of 6 or 7; odds ratio 3.25, 95% CI 2.33-4.55). CONCLUSIONS: Hospitals with advanced digital maturity had statistically significantly reduced infection rates, reduced adverse events, and improved surgical safety outcomes. The study findings suggest a significant difference in quality and safety outcomes among hospitals with advanced digital maturity compared with hospitals with underdeveloped digital maturity.

Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study.

BACKGROUND: Diagnostic errors are an underappreciated cause of preventable mortality in hospitals and pose a risk for severe patient harm and increase hospital length of stay. OBJECTIVE: This study aims to explore the potential of machine learning and natural language processing techniques in improving diagnostic safety surveillance. We conducted a rigorous evaluation of the feasibility and potential to use electronic health records clinical notes and existing case review data. METHODS: Safety Learning System case review data from 1 large health system composed of 10 hospitals in the mid-Atlantic region of the United States from February 2016 to September 2021 were analyzed. The case review outcome included opportunities for improvement including diagnostic opportunities for improvement. To supplement case review data, electronic health record clinical notes were extracted and analyzed. A simple logistic regression model along with 3 forms of logistic regression models (ie, Least Absolute Shrinkage and Selection Operator, Ridge, and Elastic Net) with regularization functions was trained on this data to compare classification performances in classifying patients who experienced diagnostic errors during hospitalization. Further, statistical tests were conducted to find significant differences between female and male patients who experienced diagnostic errors. RESULTS: In total, 126 (7.4%) patients (of 1704) had been identified by case reviewers as having experienced at least 1 diagnostic error. Patients who had experienced diagnostic error were grouped by sex: 59 (7.1%) of the 830 women and 67 (7.7%) of the 874 men. Among the patients who experienced a diagnostic error, female patients were older (median 72, IQR 66-80 vs median 67, IQR 57-76; P=.02), had higher rates of being admitted through general or internal medicine (69.5% vs 47.8%; P=.01), lower rates of cardiovascular-related admitted diagnosis (11.9% vs 28.4%; P=.02), and lower rates of being admitted through neurology department (2.3% vs 13.4%; P=.04). The Ridge model achieved the highest area under the receiver operating characteristic curve (0.885), specificity (0.797), positive predictive value (PPV; 0.24), and F1-score (0.369) in classifying patients who were at higher risk of diagnostic errors among hospitalized patients. CONCLUSIONS: Our findings demonstrate that natural language processing can be a potential solution to more effectively identifying and selecting potential diagnostic error cases for review and therefore reducing the case review burden.

Patient safety and the COVID-19 pandemic: a qualitative study of perspectives of front-line clinicians.

INTRODUCTION: Studies on the impacts of COVID-19 on patient safety are emerging. However, few studies have elicited the perspectives of front-line clinicians. METHODS: We interviewed clinicians from 16 US hospitals who worked in the emergency department, intensive care unit or inpatient unit during the COVID-19 pandemic. We asked about their experiences with both clinician well-being and patient care throughout the pandemic. We used a rigorous thematic analysis to code the interview transcripts. This study was part of a larger randomised control trial of an intervention to improve healthcare worker well-being during the COVID-19 pandemic; the findings described here draw from clinicians who spontaneously raised issues related to patient safety. RESULTS: 11 physicians and 16 nurses in our sample raised issues related to patient safety. We identified two primary themes: (1) compromised access to healthcare and (2) impaired care delivery. First, clinicians discussed how changes in access to healthcare early in the pandemic-including a shift to telehealth and deferred care-led to delays in accurate diagnosis and patients presenting later in their disease course. Second, clinicians discussed the effects of COVID-19 on care delivery related to staffing, equipment shortages and space constraints and how they deviated from the standard of care to manage these constraints. Clinicians noted how these issues led to patient safety events such as central line infections, patient falls and serious medication administration errors. CONCLUSIONS: Several well-intentioned interventions implemented in the early weeks of the pandemic created a unique context that affected patient safety throughout the pandemic. Future pandemic preparedness should consider planning that incorporates a patient safety lens to mitigate further harm from occurring during a public health crisis.

A review of incidents related to health information technology in Swedish healthcare to characterise system issues as a basis for improvement in clinical practice.

This study examined health information technology-related incidents to characterise system issues as a basis for improvement in Swedish clinical practice. Incident reports were collected through interviews together with retrospectively collected incidents from voluntary incident databases, which were analysed using deductive and inductive approaches. Most themes pertained to system issues, such as functionality, design, and integration. Identified system issues were dominated by technical factors (74%), while human factors accounted for 26%. Over half of the incidents (55%) impacted on staff or the organisation, and the rest on patients - patient inconvenience (25%) and patient harm (20%). The findings indicate that it is vital to choose and commission suitable systems, design out "error-prone" features, ensure contingency plans are in place, implement clinical decision-support systems, and respond to incidents on time. Such strategies would improve the health information technology systems and Swedish clinical practice.

Patient safety reporting and learning system of Catalonia (SNiSP Cat): a health policy initiative to enhance culture, leadership and professional engagement.

Patient safety reporting and learning systems (PSRLS) are tools to promote patient safety culture in healthcare organisations (HCO). Many PRSLS are locally developed. WHO Global Action Plan on Patient Safety 2021-2030 urges governments to deploy policies for healthcare risk management including PSRLS. The Ministry of Health of Catalonia (MHC) faced challenges in addressing quality and patient safety (Q&PS) issues due to disparate information systems. To address these challenges, the MHC developed a territorial PSRLS and embedded it in the Quality and Patient Safety Strategic Plan of Catalonia 2023-2027 (QPSS Plan Cat). METHODS: Four-step process: (1) creation of a governance model, a web platform and reporting forms for a PSRLS in Catalonia (SNiSP Cat); (2) SNiSP Cat roll out; (3) embed SNiSP Cat information in the accreditation model for HCO and the PS scorecard; (4) Development of SNiSP Cat within the QPSS Plan Cat 2023-2027. RESULTS: The SNiSP Cat is in use by 63/64 acute care hospital (ACH), 376/376 primary healthcare teams (PCT) and 17/98 long-term care facilities (LTCF). 1335/109 273 professionals were trained. Until 2022, 127 051 incidents have been migrated and reported (2013-2022). The system has generated three comprehensive risk maps for HCO: one for ACH, including patients' falls, medication, clinical process and procedures; second for PCT, including clinical process and procedures, clinical administration and medication; and a third for LTCF, included patients' falls, medication, digital/analogical documentation. SNiSP Cat provided information to support 53 standards out of 1312 of the ACH accreditation model and 14 standards out of 379 of PCT one. Regarding the MHC patient safety scorecard, 14 indicators out of 147 of ACH and 4 out of 41 of PCT are supported by SNiSP Cat data. CONCLUSIONS: The availability of a territorial PSRLS (SNiSP Cat) allows MHC leads the Q&PS policy with direct information, risk maps and data support to the standards for the Catalan accreditation models and PS scorecard linked to incentivisation, turning the SNiSP Cat into a driven tool to implement the Quality and Patient Safety Strategic Plan of Catalonia 2023-2027.

A multifaceted risk management program to improve the reporting rate of patient safety incidents in primary care: a cluster-randomised controlled trial.

BACKGROUND: While patient safety incident reporting is of key importance for patient safety in primary care, the reporting rate by healthcare professionals remains low. This study aimed to assess the effectiveness of a risk management program in increasing the reporting rate within multiprofessional primary care facilities. METHODS: A nation-wide cluster-randomised controlled trial was performed in France, with each cluster defined as a primary care facility. The intervention included professional e-learning training, identification of a risk management advisor, and multidisciplinary meetings to address incident analysis. In the first observational period, a patient safety incident reporting system for professionals was implemented in all facilities. Then, facilities were randomised, and the program was implemented. Incidents were reported over the 15-month study period. Quasi-Poisson models were used to compare reporting rates. RESULTS: Thirty-five facilities (intervention, n = 17; control, n = 18) were included, with 169 and 232 healthcare professionals, respectively, involved. Overall, 7 out of 17 facilities carried out the entire program (41.2%), while 6 did not hold meetings (35.3%); 48.5% of professionals logged on to the e-learning website. The relative rate of incidents reported was 2.7 (95% CI = [0.84-11.0]; p = 0.12). However, a statistically significant decrease in the incident rate between the pre-intervention and post-intervention periods was observed for the control arm (HR = 0.2; 95% CI = [0.05-0.54]; p = 0.02), but not for the intervention arm (HR = 0.54; 95% CI = [0.2-1.54]; p = 0.23). CONCLUSION: This program didn't lead to a significant improvement in the patient safety incident reporting rate by professionals but seemed to sustain reporting over time. Considering that the program was fully implemented in only 41% of facilities, this highlights the difficulty of implementing such multidisciplinary programs in primary care despite its adaptation to the setting. A better understanding of how risk management is currently organized in these multiprofessional facilities is of key importance to improve patient safety in primary care. TRIAL REGISTRATIONS: The study has been registered at clinicaltrials.gov (NCT02403388) on 30 March 2015.

Variations in Alarm Burden, Source, and Cause Across Inpatient Units at a Children's Hospital.

BACKGROUND AND OBJECTIVES: Alarms at hospitals are frequent and can lead to alarm fatigue posing patient safety risks. We aimed to describe alarm burden over a 1-year period and explored variations in alarm rates stratified by unit type, alarm source, and cause. METHODS: A retrospective study of inpatient alarm and patient census data at 1 children's hospital from January 1, 2019, to December 31, 2019, including 8 inpatient units: 6 medical/surgical unit (MSU), 1 PICU, and 1 NICU. Rates of alarms per patient day (appd) were calculated overall and by unit type, alarm source, and cause. Poisson regression was used for comparisons. RESULTS: There were 7 934 997 alarms over 84 077 patient days (94.4 appd). Significant differences in alarm rates existed across inpatient unit types (MSU 81.3 appd, PICU 90.7, NICU 117.5). Pulse oximetry (POx) probes were the alarm source with highest rate, followed by cardiorespiratory leads (54.4 appd versus 31). PICU had lowest rate of POx alarms (33.3 appd, MSU 37.6, NICU 92.6), whereas NICU had lowest rate of cardiorespiratory lead alarms (16.2 appd, MSU 40.1, PICU 31.4). Alarms stratified by cause displayed variation across unit types where "low oxygen saturation" had the highest overall rate, followed by "technical" alarms (43.4 appp versus 16.3). ICUs had higher rates of low oxygenation saturation alarms, but lower rates of technical alarms than MSUs. CONCLUSIONS: Clinical alarms are frequent and vary across unit types, sources, and causes. Unit-level alarm rates and frequent alarm sources (eg, POx) should be considered when implementing alarm reduction strategies.

Patient safety in actioning and communicating blood test results in primary care: a UK wide audit using the Primary care Academic CollaboraTive (PACT).

BACKGROUND: Errors associated with failures in filing, actioning and communicating blood test results can lead to delayed and missed diagnoses and patient harm. This study aimed to audit how blood tests in primary care are filed, actioned and communicated in primary care, to identify areas for patient safety improvements. METHODS: UK primary care clinicians were recruited through the Primary Care Academic CollaboraTive (PACT). PACT members audited 50 recent sets of blood tests from their practice and retrospectively extracted data on blood test result coding, actioning and communication. PACT members received a practice report, showing their own results, benchmarked against other participating practices. RESULTS: PACT members from 57 general practices across all four UK nations collected data on 2572 patients who had blood tests in April 2021. In 89.9% (n=2311) they agreed with the initial clinician's actioning of blood tests; 10.1% disagreed, either partially (7.1%) or fully (3.0%).In 44% of patients (n=1132) an action (eg, 'make an appointment') was specified by the filing clinician. This action was carried out in 89.7% (n=1015/1132) of cases; in 6.8% (n=77) the action was not carried out, in 3.5% (n=40) it was unclear. In the 117 cases where the test result had not been actioned 38% (n=45) were felt to be at low risk of harm, 1.7% (n=2) were at high risk of harm, 0.85% (n=1) came to harm.Overall, in 47% (n=1210) of patients there was no evidence in the electronic health records that results had been communicated. Out of 1176 patients with one or more abnormal results there was no evidence of test communication in 30.6% (n=360). There were large variations between practices in rates of actioning and communicating tests. CONCLUSION: This research demonstrates variation in the way blood test results are actioned and communicated, with important patient safety implications.

Patient safety culture and associated factors of regional public hospitals in Addis Ababa.

BACKGROUND: Patient safety culture is the result of individual and group values, attitudes, perceptions, competencies, and patterns of behavior that determine the commitment, style, and proficiency of health providers' safety management. Globally, millions of adverse events occur annually, with a significant burden on low- and middle-income countries. The burden of injuries and other harm to patients from adverse events is likely one of the top 10 causes of death and disability worldwide. This study aimed to assess patient safety culture and its associated factors in regional public hospitals in Addis Ababa. METHODS: An institution-based cross-sectional study was conducted among 494 healthcare professionals working at regional public hospitals in Addis Ababa. The data were collected using a pretested structured self-administered questionnaire from June 3 to July 30, 2023. The data were entered into Epi info version 7.2 and exported to SPSS version 26.0 for analysis. Binary logistic regression analysis was used to determine the associations between the patient safety culture (dependent variables) and socio-demographic factors, health care providers and system's. Multicollinearity was checked using VIF, and the adequacy of the final model was assessed using the Hosmer and Lemeshow goodness-of-fit test. RESULT: Overall, 48.8% (95% CI: 44.3-53.1) of participants had a good patient safety culture, for a response rate of 93.3%. Factors significantly associated with patient safety culture, as identified through factor analysis, included having 6-10 years of experience (AOR = 1.81, 95% CI = 1.13-2.88), having more than 11 years of experience (AOR = 3.49, 95% CI = 1.27-9.56), reporting adverse events (AOR = 2.47, 95% CI = 1.37-4.45), participating in patient safety programs (AOR = 3.64, 95% CI = 1.91-6.92), and working in obstetrics and pediatric wards (AOR = 0.47, 95% CI = 0.23-0.94) and (AOR = 0.21, 95% CI = 0.097-0.44), respectively. CONCLUSION: The overall level of patient safety culture in regional public hospitals was low (< 75%). Factors such as having 6 or more years of experience, reporting adverse events, participating in patient safety programs, and working in obstetrics and pediatric wards were significantly associated with patient safety culture.

Nursing care for hospitalized older adults - fall accidents versus safe mobility: a scoping review.

OBJECTIVES: to map the constituent elements of the safe mobility concept present in hospital care for older adults. METHODS: a scoping review of 35 articles searched in databases and gray literature - BDENF/VHL, Scopus, CINAHL/EBSCO, Embase, Web of Science, PEDro, MEDLINE/PubMed and CAPES Theses and Dissertations Catalog. No time or language cut-off was established. RESULTS: none of the studies presented a clear safe mobility concept, however its constituent elements involve factors related to patient (behavioral factors, conditions, diseases, signs and symptoms, nutritional status, age, balance, strength, gait quality, sleep), the institution (environment, treatment devices, guidelines, medications and polypharmacy, material and human resources and clothing/shoes) and the nature of the interventions (related to the patient, institution and family). FINAL CONSIDERATIONS: the constituent elements of safe mobility express hospital units' capacity to guarantee care and protection from fall accidents for hospitalized older adults.

Root cause analysis of safety incidents in antineoplastic use in children.

OBJECTIVES: to identify and analyze the factors that contribute to safety incident occurrence in the processes of prescribing, preparing and dispensing antineoplastic medications in pediatric oncology patients. METHODS: a quality improvement study focused on oncopediatric pharmaceutical care processes that identified and analyzed incidents between 2019-2020. A multidisciplinary group performed root cause analysis (RCA), identifying main contributing factors. RESULTS: in 2019, seven incidents were recorded, 57% of which were prescription-related. In 2020, through active search, 34 incidents were identified, 65% relating to prescription, 29% to preparation and 6% to dispensing. The main contributing factors were interruptions, lack of electronic alert, work overload, training and staff shortages. CONCLUSIONS: the results showed that adequate recording and application of RCA to identified incidents can provide improvements in the quality of pediatric oncology care, mapping contributing factors and enabling managers to develop an effective action plan to mitigate risks associated with the process.

How can interventions more directly address drivers of unprofessional behaviour between healthcare staff?

Unprofessional behaviours (UBs) between healthcare staff are widespread and have negative impacts on patient safety, staff well-being and organisational efficiency. However, knowledge of how to address UBs is lacking. Our recent realist review analysed 148 sources including 42 reports of interventions drawing on different behaviour change strategies and found that interventions insufficiently explain their rationale for using particular strategies. We also explored the drivers of UBs and how these may interact. In our analysis, we elucidated both common mechanisms underlying both how drivers increase UB and how strategies address UB, enabling the mapping of strategies against drivers they address. For example, social norm-setting strategies work by fostering a more professional social norm, which can help tackle the driver 'reduced social cohesion'. Our novel programme theory, presented here, provides an increased understanding of what strategies might be effective to adddress specific drivers of UB. This can inform logic model design for those seeking to develop interventions addressing UB in healthcare settings.

Health care safety incidents in paediatric emergency care.

OBJECTIVE: To characterize safety incidents in paediatric emergency departments (PEDs): frequency, sources, root causes, and consequences. MATERIALS AND METHODS: We conducted a cross-sectional, observational and descriptive study in the PED of the Clinical University Hospital XX (blinded for review). Patients were recruited through opportunity sampling and the data were collected during care delivery and one week later through a telephone survey. The methodology was based on the ERIDA study on patient safety incidents related to emergency care, which in turn was based on the ENEAS and EVADUR studies. RESULTS: The study included a total of 204 cases. At least one incident was detected in 25 cases, with two incidents detected in 3 cases, for a total incidence of 12.3%. Twelve incidents were detected during care delivery and the rest during the telephone call. Ten percent did not reach the patient, 7.1% reached the patient but caused no harm, and 82.1% reached the patient and caused harm. Thirteen incidents (46.4%) did not have an impact on care delivery, 8 (28.6%) required a new visit or referral, 6 (21.4%) required additional observation and 1 (3.6%) medical or surgical treatment. The most frequent root causes were health care delivery and medication. Incidents related to procedures and medication were most frequent. Of all incidents, 78.6% were considered preventable, with 50% identified as clear failures in health care delivery. CONCLUSIONS: Safety incidents affected 12.3% of children managed in the PED of the HCUVA, of which 78.6% were preventable.

Development of a survey to support assessment of safety learning systems.

BACKGROUND: Patient safety learning systems play a critical role in supporting safety culture in healthcare organisations. A lack of explicit standards leads to inconsistent implementation across organisations, causing uncertainty about their roles and impact. Organisations can address inconsistent implementation by using a self-assessment tool based on agreed-on best practices. Therefore, we aimed to create a survey instrument to assess an organisation's approach to learning from safety events. METHODS: The foundation for this work was a recent systematic review that defined features associated with the performance of a safety learning system. We organised features into themes and rephrased them into questions (items). Face validity was checked, which included independent pre-testing to ensure comprehensibility and parsimony. It also included clinical sensibility testing in which a representative sample of leaders in quality at a large teaching hospital (The Ottawa Hospital) answered two questions to judge each item for clarity and necessity. If more than 20% of respondents judged a question unclear or unnecessary, we modified or removed that question accordingly. Finally, we checked the internal consistency of the questionnaire using Cronbach's alpha. RESULTS: We initially developed a 47-item questionnaire based on a prior systematic review. Pre-testing resulted in the modification of 15 of the questions, 2 were removed and 2 questions were added to ensure comprehensiveness and relevance. Face validity was assessed through yes/no responses, with over 80% of respondents confirming the clarity and 85% the necessity of each question, leading to the retention of all 47 questions. Data collected from the five-point responses (strongly disagree to strongly agree) for each question were used to assess the questionnaire's internal consistency. The Cronbach's alpha was 0.94, indicating a high internal consistency. CONCLUSION: This self-assessment questionnaire is evidence-based and on preliminary testing is deemed valid, comprehensible and reliable. Future work should assess the range of survey responses in a large sample of respondents from different hospitals.

Frontline nursing staff's perceptions of intravenous medication administration: the first step toward safer infusion processes-a qualitative study.

OBJECTIVES: Intravenous medication errors continue to significantly impact patient safety and outcomes. This study sought to clarify the complexity and risks of the intravenous administration process. DESIGN: A qualitative focus group interview study. SETTING: Focused interviews were conducted using process mapping with frontline nurses responsible for medication administration in September 2020. PARTICIPANTS: Front line experiened nurses from a Japanese tertiary teaching hospital. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was to identify the mental models frontline nurses used during intravenous medication administration, which influence their interactions with patients, and secondarily, to examine the medication process gaps between the mental models nurses perceive and the actual defined medication administration process. RESULTS: We found gaps between the perceived clinical administration process and the real process challenges with an emphasis on the importance of verifying to see if the drug was ordered for the patient immediately before its administration. CONCLUSIONS: This novel and applied improvement approach can help nurses and managers better understand the process vulnerability of the infusion process and develop a deeper understanding of the administration steps useful for reliably improving the safety of intravenous medications.

Longitudinal evaluation of an electronic audit and feedback system for patient safety in a large tertiary hospital setting.

Objective: This study sought to assess the impact of a novel electronic audit and feedback (e-A&F) system on patient outcomes. Methods: The e-A&F intervention was implemented in a tertiary hospital and involved near real-time feedback via web-based dashboards. We used a segmented regression analysis of interrupted time series. We modelled the pre-post change in outcomes for the (1) announcement of this priority list, and (2) implementation of the e-A&F intervention to have affected patient outcomes. Results: Across the study period there were 222,792 episodes of inpatient care, of which 13,904 episodes were found to contain one or more HACs, a risk of 6.24%. From the point of the first intervention until the end of the study the overall risk of a HAC reduced from 8.57% to 4.12% - a 51.93% reduction. Of this reduction the proportion attributed to each of these interventions was found to be 29.99% for the announcement of the priority list and 21.93% for the implementation of the e-A&F intervention. Discussion: Our findings lend evidence to a mechanism that the announcement of a measurement framework, at a national level, can lead to local strategies, such as e-A&F, that lead to significant continued improvements over time.

Causal analysis of radiotherapy safety incidents based on a hybrid model of HFACS and Bayesian network.

Objective: This research investigates the role of human factors of all hierarchical levels in radiotherapy safety incidents and examines their interconnections. Methods: Utilizing the human factor analysis and classification system (HFACS) and Bayesian network (BN) methodologies, we created a BN-HFACS model to comprehensively analyze human factors, integrating the hierarchical structure. We examined 81 radiotherapy incidents from the radiation oncology incident learning system (RO-ILS), conducting a qualitative analysis using HFACS. Subsequently, parametric learning was applied to the derived data, and the prior probabilities of human factors were calculated at each BN-HFACS model level. Finally, a sensitivity analysis was conducted to identify the human factors with the greatest influence on unsafe acts. Results: The majority of safety incidents reported on RO-ILS were traced back to the treatment planning phase, with skill errors and habitual violations being the primary unsafe acts causing these incidents. The sensitivity analysis highlighted that the condition of the operators, personnel factors, and environmental factors significantly influenced the occurrence of incidents. Additionally, it underscored the importance of organizational climate and organizational process in triggering unsafe acts. Conclusion: Our findings suggest a strong association between upper-level human factors and unsafe acts among radiotherapy incidents in RO-ILS. To enhance radiation therapy safety and reduce incidents, interventions targeting these key factors are recommended.

Exploring the safety reporting culture among healthcare practitioners in Saudi hospitals: a comprehensive 2022 national study.

BACKGROUND: With the rise in medical errors, establishing a strong safety culture and an effective incident reporting system is crucial. As part of the Saudi National Health Transformation Vision of 2030, multiple projects have been initiated to periodically assess healthcare quality measures and ensure a commitment to continuous improvement. Among these is the Hospital Survey on Patient Safety Culture National Project (HSPSC), conducted regularly by the Saudi Patient Safety Center (SPSC). However, comprehensive tools for assessing reporting culture are lacking. Addressing this gap can enhance reporting, efficiency, and health safety. OBJECTIVE: This paper aims to investigate the reporting practices among healthcare professionals (HCPs) in Saudi Arabian hospitals and examine the relationship between reporting culture domains and other variables such as hospital bed capabilities and HCPs' work positions. METHODS: The study focuses on measuring the reporting culture-related items measures and employs secondary data analysis using information from the Hospital Survey on Patient Safety Culture conducted by the Saudi Center for Patient Safety in 2022, encompassing hospitals throughout Saudi Arabia. Data incorporated seven items in total: four items related to the Response to Error Domain, two related to the Reporting Patient Safety Events Domain, and one associated with the number of events reported in the past 12 months. RESULTS: The sample for the analyzed data included 145,657 HCPs from 392 hospitals. The results showed that the average positive response rates for reporting culture-related items were between 50% and 70%. In addition, the research indicated that favorable response rates were relatively higher among managerial and quality/patient safety/risk management staff. In contrast, almost half had not reported any events in the preceding year, and a quarter reported only 1 or 2 events. Pearson correlation analysis demonstrates a strong negative correlation between bed capacity and reporting safety events, response to error, and number of events reported (r = -0.935, -0.920, and - 0.911, respectively; p < 0.05), while a strong positive correlation is observed between reporting safety events and response to error (r = 0.980; p < 0.01). CONCLUSIONS: Almost 75% of the HCPs reported fewer safety events over the last 12 months, indicating an unexpectedly minimal recorded occurrence variance ranging from 0 to 2 incidents.

Nursing students' evaluation of patient safety culture in three central European countries: a cross-sectional study.

OBJECTIVES: This cross-sectional study aimed to investigate and compare the perceptions of nursing students regarding patient safety culture (PSC) during the COVID-19 pandemic in three Central European countries. METHODS: Data were collected from 624 nursing students between April and September 2021 using the Hospital Survey on Patient Safety Culture. RESULTS: The evaluation of the PSC dimensions did not reach the expected level of 75 %. Significant associations were found between the perception of the dimensions of the individual PSC and age, student status, study year, and clinical placement. The overall patient safety grade, the number of events reported, and the number of events reported by nursing students were significantly predicted by several dimensions of the PSC (p<0.05). CONCLUSIONS: The evaluation of patient safety culture by nursing students offers a unique perspective. Students come with 'fresh eyes' and provide different perspectives that can provide healthcare leaders with a practical opportunity to identify blind spots, review and improve safety protocols, and foster a more inclusive culture that prioritizes patient safety.