International Journal for Quality in Health Care最新文献

Control charts, used in healthcare operations to monitor process stability and quality, are essential for ensuring patient safety and improving clinical outcomes. This comprehensive research study aims to provide a thorough understanding of the role of control charts in healthcare quality monitoring and future perspectives by utilizing a dual methodology approach involving a systematic review and a pioneering bibliometric analysis. A systematic review of 73 out of 223 articles was conducted, synthesizing existing literature (1995-2023) and revealing insights into key trends, methodological approaches, and emerging themes of control charts in healthcare. In parallel, a bibliometric analysis (1990-2023) on 184 articles gathered from Web of Science and Scopus was performed, quantitatively assessing the scholarly landscape encompassing control charts in healthcare. Among 25 countries, the USA is the foremost user of control charts, accounting for 33% of all applications, whereas among 14 health departments, epidemiology leads with 28% of applications. The practice of control charts in health monitoring has increased by more than one-third during the last 3 years. Globally, exponentially weighted moving average charts are the most popular, but interestingly the USA remained the top user of Shewhart charts. The study also uncovers a dynamic landscape in healthcare quality monitoring, with key contributors, research networks, research hotspot tendencies, and leading countries. Influential authors, such as J.C. Benneyan, W.H. Woodall, and M.A. Mohammed played a leading role in this field. In-countries networking, USA-UK leads the largest cluster, while other clusters include Denmark-Norway-Sweden, China-Singapore, and Canada-South Africa. From 1990 to 2023, healthcare monitoring evolved from studying efficiency to focusing on conditional monitoring and flowcharting, with human health, patient safety, and health surveys dominating 2011-2020, and recent years emphasizing epidemic control, COronaVIrus Disease of 2019 (COVID-19) statistical process control, hospitals, and human health monitoring using control charts. It identifies a transition from conventional to artificial intelligence approaches, with increasing contributions from machine learning and deep learning in the context of Industry 4.0. New researchers and journals are emerging, reshaping the academic context of control charts in healthcare. Our research reveals the evolving landscape of healthcare quality monitoring, surpassing traditional reviews. We uncover emerging trends, research gaps, and a transition in leadership from established contributors to newcomers amidst technological advancements. This study deepens the importance of control charts, offering insights for healthcare professionals, researchers, and policymakers to enhance healthcare quality. Future challenges and research directions are also provided.

The new building of the Hospital in Lichtenfels (Germany) was put into operation in mid-July 2018. Neither the medical personnel nor medical departments have been changed. We want to evaluate how 'safe' or 'insecure' the new hospital or department in the beginning might have been. Our objective is to investigate if safety decreases at the beginning in a new hospital, despite modern environments and conditions. Adverse events (AEs) associated with treatment were included to evaluate the total number of AEs resulting from medical care and medications. Patients' records had to be closed and completed, the length of stay had to be at least 24 h, and the patient had to have been formally admitted to the hospital [Institute for Healthcare Improvement (IHI) 'Global Trigger Tool' (GTT) recommendation]. The identified AEs were grouped into 27 categories of the IHI 'GTT'. We randomly reviewed 40 patient records per month 6 months before and 6 months after moving to the new hospital. Statistical analysis showed that there was no significant difference in individual AEs. The sum of AEs was statistically higher after moving into a new hospital. A complete number of harms did reach statistical significance (χ2 = 6.62; df = 1; P < .05; Cramer's V = 0.12), indicating that new environments 'trigger' significantly more potential errors (50%) in comparison to the old environments (38.33%). According to our findings, the new hospital appears to be slightly insecure in the first 6 months after opening.

There are little data on sharps injuries among healthcare workers in West Africa despite the region's high rate of hepatitis B and human immunodeficiency virus. The purpose of this study is to investigate healthcare workers' history of sharps injuries in Liberia and Ghana. An electronic cross-sectional survey was conducted among healthcare workers in Liberia and Ghana from February to June 2022. A link to the survey was texted to participants through professional association membership lists, including nursing, midwifery, and physician assistant organizations in both Liberia and Ghana and a physician organization in Ghana only. Five hundred and nine participants reported an average of 1.8 injuries per year in Liberia and 1.1 in Ghana (P ≤ .01); 15.1% of healthcare workers reported three or more injuries in the past year. Liberia had a higher proportion of frequently injured workers (P = .01). Frequently injured workers were evenly distributed across worker types. Workers in this region are vulnerable to sharps injuries. A frequently injured subset of workers likely has distinctive risk factors and would benefit from further investigation and intervention.

Beta-lactam antibiotics are widely used in the intensive care unit due to their favorable effectiveness and safety profiles. Beta-lactams given to patients with sepsis must be delivered as soon as possible after infection recognition (early), treat the suspected organism (appropriate), and be administered at a dose that eradicates the infection (adequate). Early and appropriate antibiotic delivery occurs in >90% of patients, but less than half of patients with sepsis achieve adequate antibiotic exposure. This project aimed to address this quality gap and improve beta-lactam adequacy using the Define, Measure, Analyze, Improve, and Control Lean Six Sigma quality improvement framework. A multidisciplinary steering committee was formed, which completed a stakeholder analysis to define the gap in practice. An Ishikawa cause and effect (Fishbone) diagram was used to identify the root causes and an impact/effort grid facilitated prioritization of interventions. An intervention that included bundled education with the use of therapeutic drug monitoring (TDM; i.e. drug-level testing) was projected to have the highest impact relative to the amount of effort and selected to address beta-lactam inadequacy in the critically ill. The education and TDM intervention were deployed through a Plan, Do, Study, Act cycle. In the 3 months after "go-live," 54 episodes of beta-lactam TDM occurred in 41 unique intensive care unit patients. The primary quality metric of beta-lactam adequacy was achieved in 94% of individuals after the intervention. Ninety-four percent of clinicians gauged the education provided as sufficient. The primary counterbalance of antimicrobial days of therapy, a core antimicrobial stewardship metric, was unchanged over time (favorable result; P = .73). Application of the Define, Measure, Analyze, Improve, and Control Lean Six Sigma quality improvement framework effectively improved beta-lactam adequacy in critically ill patients. The approach taken in this quality improvement project is widely generalizable to other drugs, drug classes, or settings to increase the adequacy of drug exposure.

Patient safety is a fundamental of good quality and also a high priority for the health-care system. Maintaining patient safety reduces errors and harm that patients can suffer during health care. The operating room clinicians have a vital role in ensuring patient safety. The general objective of this study was to assess attitudes towards perioperative safety and associated factors among the operation room clinicians at the University of Gondar Comprehensive Specialized Hospital (UoGCSH), Northwest Ethiopia, 2022. A cross-sectional study was conducted on operation room clinicians at UoGCSH. The data were collected by using a self-administered structured questionnaire that included the Safety Attitude Questionnaire (SAQ). Binary logistic regression analysis was employed, and the strength of association was described in adjusted odds ratios with a 95% confidence interval (CI). A total of 260 (76% response rate) operation room clinicians have participated in this study. The mean ± SD of attitude toward perioperative safety was 57.8 ± 0.9. Only 32 (12.3%) operation room clinicians have shown a favorable attitude toward perioperative safety. Most of the clinicians were found to have unfavorable attitudes toward all domains of SAQ except the stress recognition domain. Age >30 years [adjusted odds ratios (AOR): 3.1, CI: 1.1, 8.7, P = .035], working for ≥40 h/week (AOR: 3.9, CI: 1.4, 11.1, P = .01), working in ophthalmologic (AOR: 12.0, CI: 3.8, 38.8, P < .001) and gynecologic (AOR: 3.6, CI: 1.1, 12.7, P = .04) operation rooms, and having training on perioperative safety (AOR: 2.6, CI: 1.1, 6.5, P < .03) were found associated with having favorable attitude toward perioperative safety. Most operation room clinicians had an unfavorable attitude toward perioperative safety and all the domains of SAQ except the stress recognition domain. Older age  ≥ 30 years, working for ≥40 h/week, having safety-related training, and working in ophthalmologic and gynecologic operation rooms were found associated with having a favorable attitude toward perioperative safety.

Patient safety incident reports are a key source of safety intelligence. This study aimed to explore whether information contained in such reports can elicit facilitators of safety, including responding, anticipating, monitoring, learning, and other mechanisms by which safety is maintained. The review further explored whether, if found, this information could be used to inform safety interventions. Anonymized incident reports submitted between August and October 2020 were obtained from two large teaching hospitals. The Systems Engineering Initiative for Patient Safety (SEIPS) tool and the resilience potentials (responding, anticipating, monitoring, and learning) frameworks guided thematic analysis. SEIPS was used to explore the components of people, tools, tasks, and environments, as well as the interactions between them, which contribute to safety. The resilience potentials provided insight into healthcare resilience at individual, team, and organizational levels. Sixty incident reports were analysed. These included descriptions of all the SEIPS framework components. People used tools such as electronic prescribing systems to perform tasks within different healthcare environments that facilitated safety. All four resilient capacities were identified, with mostly individuals and teams responding to events; however, monitoring, anticipation, and learning were described for individuals, teams, and organizations. Incident reports contain information about safety practices, much of which is not identified by traditional approaches such as root cause analysis. This information can be used to enhance safety enablers and encourage greater proactive anticipation and system-level learning.

The manuscript explores value-based healthcare (VBHC) and its role in assessing healthcare quality beyond clinical metrics. It identifies four value types: personal, technical, allocative, and societal. Emphasizing the integration of diverse stakeholder perspectives, including patients, families, and clinicians, the study highlights the importance of patient- and family-reported measures (PROMs and PREMs) and clinician input. Clinicians' insights on treatment feasibility and effectiveness are crucial for a holistic understanding of healthcare quality. The manuscript advocates for combining machine learning with participatory approaches to enhance data analysis and continuous quality improvement in VBHC, driving better outcomes for patients and communities.

Inappropriate antibiotic use contributes to antimicrobial resistance, a global public health threat. The non-specific manifestations of dengue, itself a growing public health threat, lead to avoidable empiric antibiotic prescription, particularly in children. In this national pooled population-based cross-sectional study, we evaluated child and physician characteristics associated with antibiotics prescription in confirmed dengue cases in Taiwan. Linking national health care insurance claims and reports of confirmed dengue cases from 2008 to 2015, there were 7086 children with confirmed dengue with 21 744 outpatient visits and 2520 inpatient admissions. We assessed the presence of antibiotic prescription in outpatient and inpatient settings separately a week before or after the confirmation date. Logistic regression models with generalized estimating equations were applied to identify patient, practitioner, and other factors associated with antibiotic prescription. A total of 29.4% of children <18 years old with dengue who did not have a concomitant bacterial infection were prescribed antibiotics during the 14-day assessment period. Antibiotics prescription was reduced from 13.5% to 6.3% and from 43.2% to 19.3% in outpatient and inpatient settings, respectively, after dengue was confirmed. Young children were more likely to receive antibiotics. Significant variations in antibiotic prescribing across physicians were observed only in outpatient settings: physicians ≥60 years old and physicians practicing at clinics and in non-urban facilities were more likely to prescribe antibiotics. Antibiotics were less likely to be prescribed during an exceptional 2-year epidemic than in other years. Antibiotic prescribing for dengue, an arboviral infection affecting half of the global population, was shown to occur in 29% of paediatric cases in Taiwan. That potentially avoidable antibiotic consumption could be reduced by improving antibiotic stewardship, informed by understanding the conditions under which antibiotics are prescribed and the availability of prevention strategies for viral diseases, including dengue. We identified a number of such factors in this national population-based study.