International Journal for Quality in Health Care最新文献

{"title":"Virtue ethics, the next step in quality improvement?","authors":"Pleuntje M B Verstegen, J J Kole, A Stef Groenewoud, Frank J A van den Hoogen","doi":"10.1093/intqhc/mzae072","DOIUrl":"10.1093/intqhc/mzae072","url":null,"abstract":"","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11315764/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141787895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"People-centered primary care measures in health equity: a perspective of urban-rural comparison in Beijing, China.","authors":"Yingchun Peng, Shaoqi Zhai, Zhiying Zhang, Ruyi Zhang, Jiaying Zhang, Qilin Jin, Jiaojiao Zhou, Jingjing Chen","doi":"10.1093/intqhc/mzae067","DOIUrl":"10.1093/intqhc/mzae067","url":null,"abstract":"<p><p>Person-centered primary care measures (PCPCM) facilitate high-quality and culturally appropriate primary care. Access to PCPCM remains unequal between rural and urban areas, and the available evidence on rural PCPCM is still lacking. A cross-sectional survey was conducted with stratified sampling by regions, and four districts (Xicheng, Fengtai, Huairou, and Daxing) in Beijing were selected to test the performance of PCPCM in both urban and rural areas. Descriptive statistical methods were used to compare the urban-rural differences in the demographic characteristics of PCPCM. Correlation and regression analyses were performed to determine the associations between PCPCM in demographics and utilization of primary care. The PCPCM showed good reliability and validity in both urban and rural areas (P < .001), slightly lower in rural areas, but scores of rural PCPCM (R-PCPCM) in all items were lower than urban PCPCM (U-PCPCM). Patients in either the preferred urban or rural health centers all showed the highest PCPCM scores, with U-PCPCM= 3.31 for CHCs and R-PCPCM= 3.10 for RHCs, respectively. Patients in urban areas were more likely to receive higher-quality primary care than in rural areas (P < .001). Patients who preferred hospitals (β = 2.61, P < .001) or CHCs (β = 0.71, P = .003) as providers was a significant positive predictor of U-PCPCM but it was the preference for hospitals (β = 2.95, P < .001) for R-PCPCM. Urban-rural differences existed in the performance of PCPCM, with rural areas typically more difficult to access better PCPCM. To promote health equity in rural areas, healthcare providers should strive to minimize urban-rural differences in the quality and utilization of primary care services as much as feasible.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141616333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Embracing the use of artificial intelligence in scientific publishing.","authors":"Phillip Phan, Sonali Desai, Ezequiel Garcia Elorio, David Greenfield, Reece Hinchcliff, Usman Iqbal, Paul O'Connor, Anthony Staines, Rosa Sunol, Aziz Sheikh","doi":"10.1093/intqhc/mzae071","DOIUrl":"10.1093/intqhc/mzae071","url":null,"abstract":"","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141751594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Formal and informal hospital emergency management practices: managing for safety and performance amid crisis.","authors":"Tuna Cem Hayirli, Masha Kuznetsova, Paul D Biddinger, Elizabeth A Bambury, Mariam Krikorian Atkinson","doi":"10.1093/intqhc/mzae069","DOIUrl":"10.1093/intqhc/mzae069","url":null,"abstract":"<p><p>Although formal preparedness for unexpected crises has long been a concern of health care policy and delivery, many hospitals struggled to manage staff and equipment shortages, precarious finances, and supply chain disruptions among other difficulties during the Coronavirus disease pandemic. Our purpose was to analyze how hospitals used formal and informal emergency management practices to maintain safe and high-quality care while responding to crisis. We conducted a qualitative study based on 26 interviews with hospital leaders and emergency managers from 12 US hospitals, purposively sampled to vary along geographic location, urban/rural delineation, size, resource availability, system membership, teaching status, and performance levels among other characteristics. In order to manage staff, space, supplies, and system- related challenges, hospitals engaged formal and informal practices around planning, teaming, and exchanging resources and information. Relying solely only on formal or informal practices proved inadequate, especially when prespecified plans, the incident command structure, and existing contracts and communication platforms failed to support resilient response. We identified emergent capabilities-imaginative planning, recombinant teaming, and transformational exchange-through which hospitals achieved harmonious interplay between the formal and informal practices of emergency management that supported safe care and resilience amid crisis. Managing emergent challenges for and amid crisis calls for health care delivery organizations to engage creative planning processes, enable motivated workers with diverse skill sets to team up, and establish rich inter- and intra-organizational partnerships that support vital exchange.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141579609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The utility of website-based quality improvement tools for health professionals: a systematic review.","authors":"Georgie Tran, Bridget Kelly, Megan Hammersley, Jennifer Norman, Anthony Okely","doi":"10.1093/intqhc/mzae068","DOIUrl":"10.1093/intqhc/mzae068","url":null,"abstract":"<p><p>As technology continues to advance, it is important to understand how website-based tools can support quality improvement. Website-based tools refer to resources such as toolkits that users can access and use autonomously through a dedicated website. This review examined how website-based tools can support healthcare professionals with quality improvement, including the optimal processes used to develop tools and the elements of an effective tool. A systematic search of seven databases was conducted to include articles published between January 2012 and January 2024. Articles were included if they were peer reviewed, written in English, based in health settings, and reported the development or evaluation of a quality improvement website-based tool for professionals. A narrative synthesis was conducted using NVivo. Risk of bias was assessed using the Mixed Methods Appraisal Tool. All papers were independently screened and coded by two authors using a six-phase conceptual framework by Braun and Clarke. Eighteen studies met the inclusion criteria. Themes identified were tool development processes, quality improvement mechanisms and barriers and facilitators to tool usage. Digitalizing existing quality improvement processes (n = 7), identifying gaps in practice (n = 6), and contributing to professional development (n = 3) were common quality improvement aims. Tools were associated with the reported enhancement of accuracy and efficiency in clinical tasks, improvement in adherence to guidelines, facilitation of reflective practice, and provision of tailored feedback for continuous quality improvement. Common features were educational resources (n = 7) and assisting the user to assess current practices against standards/recommendations (n = 6), which supported professionals in achieving better clinical outcomes, increased professional satisfaction and streamlined workflow in various settings. Studies reported facilitators to tool usage including relevance to practice, accessibility, and facilitating multidisciplinary action, making these tools practical and time-efficient for healthcare. However, barriers such as being time consuming, irrelevant to practice, difficult to use, and lack of organizational engagement were reported. Almost all tools were co-developed with stakeholders. The co-design approaches varied, reflecting different levels of stakeholder engagement and adoption of co-design methodologies. It is noted that the quality of included studies was low. These findings offer valuable insights for future development of quality improvement website-based tools in healthcare. Recommendations include ensuring tools are co-developed with healthcare professionals, focusing on practical usability and addressing common barriers to enhance engagement and effectiveness in improving healthcare quality. Randomized controlled trials are warranted to provide objective evidence of tool efficacy.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11277856/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141579610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A study of prehospital EMS response time and influencing factors in the main urban area of Chongqing, China.","authors":"Saijuan Chen, Dianguo Xing, Qiuting Wang, Yunyi An, Ying Chen, Xinyun Zhou, Weijie Tan, Hua Liu, Yan Zhang","doi":"10.1093/intqhc/mzae065","DOIUrl":"10.1093/intqhc/mzae065","url":null,"abstract":"<p><p>Shortening the prehospital emergency medical service (EMS) response time is crucial for saving lives and lowering mortality and disability rates in patients with sudden illnesses. Descriptive analyses of prehospital EMS response time and each component were conducted separately using ambulance trip data from the 120 Dispatch Command Centre in the main urban area of Chongqing in 2021, and then, logistic regression analyses were used to explore the influencing factors. The median prehospital EMS response time in the main urban area of Chongqing was 14.52 min and the mean was 16.14 min. A 44.89% of prehospital EMS response time exceeded 15 min. Response time was more likely to surpass this threshold during peak hours and in high population density areas. Conversely, lower probabilities exceeding 15 min were observed during the night shift, summer, and autumn seasons, and areas with a high density of emergency station. 33.28% of preparation time was >3 min, with the night shift and high population density areas more likely to be >3 min, while for the summer and autumn seasons, high Gross National Product (GDP) per capita areas had a lower likelihood of having preparation time >3 min. 45.52% of travel time was >11 min, with peak hours, summer and autumn, and high GDP per capita areas more likely to have had a travel time >11 min, while night shift and high emergency station density areas had a lower likelihood of travel time >11 min. The primary factors influencing prehospital EMS response time were shifts, traffic scenarios, seasons, GDP per capita, emergency station density, and population density. Relevant departments can devise effective interventions to reduce response time through resource allocation and department coordination, staff training and work arrangement optimisation, as well as public participation and education, thereby enhancing the efficiency of prehospital emergency medical services.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141579584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What does the future of quality improvement look like?","authors":"Amar Shah, Rosa Sunol","doi":"10.1093/intqhc/mzae070","DOIUrl":"10.1093/intqhc/mzae070","url":null,"abstract":"","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11272959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141590259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Giving meaning to quality of healthcare in Malaysia.","authors":"Divya Nair Narayanan, Samsiah Awang, Bruce Agins, Izzatur Rahmi Mohd Ujang, Nur Wahida Zulkifli, Normaizira Hamidi, Saidatul Sheeda Ahmad Shukri","doi":"10.1093/intqhc/mzae063","DOIUrl":"10.1093/intqhc/mzae063","url":null,"abstract":"<p><p>Ensuring quality in healthcare calls for a coordinated, systematic, congruous, and sustained approach. Nevertheless, it demands defining what the quality of healthcare means in the local context. Presently, the Malaysian healthcare system utilizes various definitions of quality of healthcare across the different initiatives and levels of healthcare, which can lead to fragmented or ineffective quality improvement. The study aims to describe the process undertaken in developing an explicit definition of the quality of healthcare tailored to the Malaysian context, which is currently lacking. A pluralistic method was used to explore the different perspectives. Three distinct approaches were used to understand how quality is defined among the different stakeholder groups: (i) interactive policy-makers engagement sessions, (ii) a review of local quality-related documents, and (iii) an online survey engaging the public. The domains depicting quality of healthcare that emerged through these three approaches were mapped against a framework and synthesized to form the local definition of quality. A national quality-related technical working group convened on several sessions to achieve consensus and finalize the definition of quality of healthcare. Quality healthcare in Malaysia is defined as providing high-quality healthcare that is safe, timely, effective, equitable, efficient, people-centred, and accessible [STEEEPA] which is innovative and responsive to the needs of the people, and is delivered as a team, in a caring and professional manner in order to improve health outcomes and client experience. The consensus-driven local definition of healthcare quality will guide policies and ensure standardization in measuring quality, thereby steering efforts to improve the quality of healthcare services delivered in Malaysia.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11265505/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141467815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Control charts in healthcare quality monitoring: a systematic review and bibliometric analysis.","authors":"Muhammad Waqas, Song Hua Xu, Sajid Hussain, Muhammad Usman Aslam","doi":"10.1093/intqhc/mzae060","DOIUrl":"10.1093/intqhc/mzae060","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141626645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring the overall development of patient safety in a new hospital using trigger tools.","authors":"Ivan Adamovic, Peter Dahlem, Johannes Brachmann","doi":"10.1093/intqhc/mzae064","DOIUrl":"10.1093/intqhc/mzae064","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141558738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}