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Identifying a competency improvement strategy for infection prevention and control professionals: A rapid systematic review and cluster analysis 确定感染预防与控制专业人员的能力提升策略:快速系统回顾和聚类分析
Pub Date : 2024-02-04 DOI: 10.1002/hcs2.81
Nuo Chen, Shunning Li, Zhengling Kuang, Ting Gong, Weilong Zhou, Ying Wang
Remarkable progress has been made in infection prevention and control (IPC) in many countries, but some gaps emerged in the context of the coronavirus disease 2019 (COVID‐19) pandemic. Core capabilities such as standard clinical precautions and tracing the source of infection were the focus of IPC in medical institutions during the pandemic. Therefore, the core competences of IPC professionals during the pandemic, and how these contributed to successful prevention and control of the epidemic, should be studied. To investigate, using a systematic review and cluster analysis, fundamental improvements in the competences of infection control and prevention professionals that may be emphasized in light of the COVID‐19 pandemic. We searched the PubMed, Embase, Cochrane Library, Web of Science, CNKI, WanFang Data, and CBM databases for original articles exploring core competencies of IPC professionals during the COVID‐19 pandemic (from January 1, 2020 to February 7, 2023). Weiciyun software was used for data extraction and the Donohue formula was followed to distinguish high‐frequency technical terms. Cluster analysis was performed using the within‐group linkage method and squared Euclidean distance as the metric to determine the priority competencies for development. We identified 46 studies with 29 high‐frequency technical terms. The most common term was “infection prevention and control training” (184 times, 17.3%), followed by “hand hygiene” (172 times, 16.2%). “Infection prevention and control in clinical practice” was the most‐reported core competency (367 times, 34.5%), followed by “microbiology and surveillance” (292 times, 27.5%). Cluster analysis showed two key areas of competence: Category 1 (program management and leadership, patient safety and occupational health, education and microbiology and surveillance) and Category 2 (IPC in clinical practice). During the COVID‐19 pandemic, IPC program management and leadership, microbiology and surveillance, education, patient safety, and occupational health were the most important focus of development and should be given due consideration by IPC professionals.
许多国家在感染预防与控制(IPC)方面取得了显著进展,但在 2019 年冠状病毒病(COVID-19)大流行的背景下,出现了一些差距。在大流行期间,标准临床预防措施和追踪感染源等核心能力是医疗机构 IPC 的重点。因此,应研究大流行期间 IPC 专业人员的核心能力,以及这些能力如何有助于成功预防和控制疫情。通过系统综述和聚类分析,研究在 COVID-19 大流行期间,感染控制和预防专业人员能力方面可能需要强调的基本改进。我们在 PubMed、Embase、Cochrane Library、Web of Science、CNKI、万方数据和 CBM 数据库中检索了探讨 COVID-19 大流行期间(2020 年 1 月 1 日至 2023 年 2 月 7 日)感染控制和预防专业人员核心能力的原创文章。使用织云软件进行数据提取,并采用多诺霍公式区分高频专业术语。采用组内关联法进行聚类分析,并以欧氏距离平方为指标来确定优先发展的能力。我们发现 46 项研究中有 29 个高频专业术语。最常见的术语是 "感染预防与控制培训"(184 次,17.3%),其次是 "手卫生"(172 次,16.2%)。"临床实践中的感染预防和控制 "是报告最多的核心能力(367 次,34.5%),其次是 "微生物学和监测"(292 次,27.5%)。聚类分析显示了两个关键的能力领域:第 1 类(项目管理和领导、患者安全和职业健康、教育以及微生物学和监测)和第 2 类(临床实践中的 IPC)。在 COVID-19 大流行期间,IPC 项目管理和领导、微生物学和监测、教育、患者安全和职业健康是最重要的发展重点,IPC 专业人员应予以充分考虑。
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引用次数: 0
Constructing an effective evaluation system to identify doctors’ research capabilities 构建有效的评估系统,确定医生的研究能力
Pub Date : 2024-02-01 DOI: 10.1002/hcs2.82
Xiaojing Hu

The events of the coronavirus disease 2019 pandemic have emphasized the indispensable role of doctors in promoting public health and well-being [1]. Although medicine and health care are being transformed by technological advances, such as artificial intelligence, big data, genomics, precision medicine, and telemedicine, doctors continue to play a critical role in providing health care. However, a key challenge today is the lack of recognition of doctors by society at large. Hospitals, patients, and public opinion all play a role in evaluating doctors. However, this study will focus on hospitals’ doctor evaluations.

At the macro level, doctor evaluations influence their value orientation, research directions, and resource allocation. Assessing doctors also impacts their research and behavior at the micro level, as it is a crucial element in their development. It is challenging to build a suitable doctor evaluation system; therefore, doctor evaluations are a common research subject among the global academic community. Various stakeholders have paid attention to this issue, which is still being debated in the literature.

The global academic community considers an evaluation system based purely on merit and performance to be the most suitable for doctor evaluations [2, 3] with a primary focus on clinical care and scientific research. In addition, doctors are expected to also teach when working at large academic medical centers. Among these three sections, the index for scientific research evaluation accounts for the highest proportion [4]. A survey of 170 universities randomly selected from the CWTS Leiden Ranking revealed that among the 92 universities offering a School of Biomedical Sciences and promoting the accessibility of evaluation criteria, the mentioned policies included peer-reviewed publications, funding, national or international reputations, author order, and journal impact factors in 95%, 67%, 48%, 37%, and 28% of cases, respectively. Furthermore, most institutions clearly indicate their expectations for the minimum number of papers to be published annually [5]. Alawi et al. have shown that in many countries, the evaluation of medical professionals is primarily based on their ability to publish papers and secure research funding [6]. The recognition of these achievements under the existing evaluation system has a significant impact on key evaluation factors, such as performance, publications, work roles, and research awards.

Doctors in Chinese hospitals are assessed primarily on the inclusion of their scientific publications in the Science Citation Index (SCI). The number of published papers indexed in SCI significantly influences their professional ranking and likelihood of promotion. Hence, many young Chinese doctors feel under pressure to publish academic papers in addition to performing their clinical duties [7]. According to the Nati

尤其是现行的医生评价体系,过分强调学术论文的发表,普遍认为会造成一些问题,如重论文发表、重数量轻质量、鼓励快速发表等。对医生科研能力的评价应优先考虑科研质量,优化分类体系,制定更合适的评价标准。竞争性评价的要求导致医生一味追求科研成果的发表,从而牺牲了他们的科研好奇心和独立性。此外,量化评价体系已被证明是一种关键但不充分的方法,不能充分反映科学的发展和进步[12]。医学研究的首要目标是实现对疾病的全面了解,在追求知识的过程中,对病人的护理过程赋予了医生独特的研究视角[13]。结合独特的临床疑问进行研究,可以有效提高我们对疾病的认识[14]。医生研究的独立性取决于他们的好奇心[15],但目前的评价体系遏制了他们的好奇心和独立性,因为竞争的基础是竞争研究的相似性,没有相似性就没有竞争。然而,必须承认,真正具有独创性和开拓性的研究必须解决与众不同的问题,而与众不同意味着要在同一水平上竞争是很困难的。Park 等人[16]调查了新发表的论文对历史文献解释的影响,发现自 1945 年以来,科学研究中 "突破性 "成果的比例持续下降,尽管近年来科技进步显著。Park 等人[16]还分析了论文中最常使用的动词,发现 1950 年代的研究人员在讨论概念或对象的创造或发现时倾向于使用 "产生 "或 "确定 "等词。然而,2010 年代进行的最新研究则使用了 "改进 "或 "提高 "等词语来表示逐步取得进展。因此,与过去的研究相比,现在的研究可以说没有那么具有革命性。Chu和Evans[17]分析了1960年至2014年间发表的9000万篇论文的18亿次引用,发现新发表的论文往往是在现有观点的基础上加以改进和完善,而不是提出打破常规现状的突破性观点。这些研究结果表明,医生的量化评价体系只会导致 "普通 "论文的发表,这些论文可能会推进和提升现有知识,但无法产生真正革命性和创新性的研究成果。"专注于发表大量学术论文,而不是优先考虑论文质量,并不能有效提升临床实践,而这正是医学研究的主要目的之一。临床研究是循证医学的基础,具有里程碑意义的临床试验在改善疾病预防和治疗方面取得了显著进展[18],尤其是创新性临床试验[19]。尽管有批评指出,大多数医生应优先考虑临床实践,而不是以发表论文为目的开展研究[20],但不可忽视的是,现代医学的许多重大进步都是医生努力治愈疾病的结果[21]。此外,与不开展临床研究的医生相比,开展临床研究可使医生有效地向患者和公众传达其临床和转化研究成果[22]。不同的研究策略可以提高医疗实践水平,如促进高产量或高质量的研究生产率[23]。第一种策略以现有的医生评价体系为代表。遗憾的是,实证调查表明,通过高水平研究促进医疗实践的发展并不是靠增加研究数量就能实现的[24, 25]。此外,在平均影响因子≥3 的期刊上发表的临床研究与医生和外科医生较低的再入院率有关[20]。因此,目前以牺牲研究质量为代价来发表更多论文的做法并不能促进临床实践的进步。使用单一的评价指标会激励医生优先考虑快速、省力的论文发表,即使这意味着无视科研伦理。医学是一个主要以实践为基础的领域,医生可能擅长诊断和治疗疾病,但缺乏学术兴趣或研究技能。然而,现行的评价体系要求医生发表论文,以实现职业晋升。 总之,以学术为导向的医生评价体系,鼓励医生撰写学术论文和项目申请,虽然已经在世界范围内使用了相当长的一段时间,但利益相关者越来越认识到它的缺陷。例如,注重发表论文阻碍了医学研究的发展,对临床实践帮助不大,鼓励医生为发表论文而进行学术不端行为,并将大量研究经费耗费在价值不大的掠夺性期刊上。因此,改革现行的医生评价体系迫在眉睫。我们主张建立一个促进创新和高质量研究的医生评价体系。假设的医生评价体系应包含各种标准,同时强调科研道德和诚信。尽管新的医生评价体系在短期内实施起来可能会面临挑战,但这一研究方向值得全球学术研究界的关注和努力:构思、写作-原稿、写作-审阅和编辑。作者声明无利益冲突。
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引用次数: 0
A systematic evaluation of the performance of GPT-4 and PaLM2 to diagnose comorbidities in MIMIC-IV patients 对 GPT-4 和 PaLM2 诊断 MIMIC-IV 患者合并症的性能进行系统评估
Pub Date : 2024-02-01 DOI: 10.1002/hcs2.79
Peter Sarvari, Zaid Al-fagih, Abdullatif Ghuwel, Othman Al-fagih

Background

Given the strikingly high diagnostic error rate in hospitals, and the recent development of Large Language Models (LLMs), we set out to measure the diagnostic sensitivity of two popular LLMs: GPT-4 and PaLM2. Small-scale studies to evaluate the diagnostic ability of LLMs have shown promising results, with GPT-4 demonstrating high accuracy in diagnosing test cases. However, larger evaluations on real electronic patient data are needed to provide more reliable estimates.

Methods

To fill this gap in the literature, we used a deidentified Electronic Health Record (EHR) data set of about 300,000 patients admitted to the Beth Israel Deaconess Medical Center in Boston. This data set contained blood, imaging, microbiology and vital sign information as well as the patients' medical diagnostic codes. Based on the available EHR data, doctors curated a set of diagnoses for each patient, which we will refer to as ground truth diagnoses. We then designed carefully-written prompts to get patient diagnostic predictions from the LLMs and compared this to the ground truth diagnoses in a random sample of 1000 patients.

Results

Based on the proportion of correctly predicted ground truth diagnoses, we estimated the diagnostic hit rate of GPT-4 to be 93.9%. PaLM2 achieved 84.7% on the same data set. On these 1000 randomly selected EHRs, GPT-4 correctly identified 1116 unique diagnoses.

Conclusion

The results suggest that artificial intelligence (AI) has the potential when working alongside clinicians to reduce cognitive errors which lead to hundreds of thousands of misdiagnoses every year. However, human oversight of AI remains essential: LLMs cannot replace clinicians, especially when it comes to human understanding and empathy. Furthermore, a significant number of challenges in incorporating AI into health care exist, including ethical, liability and regulatory barriers.

鉴于医院的诊断错误率极高,以及大型语言模型(LLM)的最新发展,我们开始测量两种常用 LLM 的诊断灵敏度:GPT-4 和 PaLM2。评估 LLM 诊断能力的小规模研究显示了良好的结果,GPT-4 在诊断测试病例方面表现出很高的准确性。为了填补这一文献空白,我们使用了波士顿贝斯以色列女执事医疗中心(Beth Israel Deaconess Medical Center)收治的约 30 万名患者的去身份化电子健康记录(EHR)数据集。该数据集包含血液、影像、微生物和生命体征信息以及患者的医疗诊断代码。根据现有的电子病历数据,医生们为每位患者整理出了一组诊断结果,我们将其称为 "基本真实诊断结果"。然后,我们设计了精心编写的提示语,以便从 LLMs 中获得病人的诊断预测,并在随机抽样的 1000 名病人中将其与基本真实诊断进行比较。PaLM2 在同一数据集上的诊断命中率为 84.7%。结果表明,人工智能(AI)在与临床医生合作时,有可能减少每年导致数十万例误诊的认知错误。然而,人类对人工智能的监督仍然至关重要:人工智能无法取代临床医生,尤其是在人类理解和移情方面。此外,将人工智能应用于医疗保健领域还存在大量挑战,包括道德、责任和监管障碍。
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引用次数: 0
Learning from socially driven frugal innovation to design the future of healthcare: A case of mobile Primary Health Center 从社会驱动的节俭创新中学习设计未来的医疗保健:流动初级保健中心案例
Pub Date : 2024-02-01 DOI: 10.1002/hcs2.80
Md Haseen Akhtar, Janakarajan Ramkumar

Background and Aim

Despite their flaws, the low-cost but powerful economical solutions can ensure everyone has access to health. The main aim of this study is to extract characteristics of frugal innovation (FI) and social innovation (SI) for Primary Health Centers (PHCs) in low resource settings (LRS) for sustainable development. We will use the gained insights to design the mobile primary healthcare infrastructure using FI and SI strategies. There is a lack of methodology to design sustainable healthcare infrastructure for LRS. There is a gap in the literature about building sustainable infrastructure to provide basic healthcare facilities essential to the community. This article studies several factors necessary for designing sustainable infrastructure from the lens of FI, SI, and sustainability to develop a mobile healthcare infrastructure for last-mile people.

Methods

Started with purposive sampled case studies to find out factors and criteria that most affect the success for an innovation to be frugal, social, and sustainable. The established criteria were used to design, develop, and deploy the mobile Primary Health Center (mPHC). Moving forward, we tested the system designed with stakeholders to gather insights. At this stage we found the feedback loop from the stakeholders and the role of interdisciplinary discussions between experts, medical officers, nurses, patient, and other staff of PHCs during the design, development, deployment, and test stage to be useful in taking design decisions efficiently.

Results

The designed healthcare infrastructure of mPHC through the aspects of FI and SI proves to be efficient in providing key healthcare services to LRS.

Conclusion

Focusing on essential capabilities and optimizing performance with technology, methodologies, and processes reduces costs in an innovation. Focus on socially inclusive and rebalancing power disparities, overcome societal challenges and improve human capabilities will create a sustainable and novel solution.

尽管存在缺陷,但这些成本低但经济效益高的解决方案可以确保人人享有健康。本研究的主要目的是为低资源环境下的初级保健中心(PHC)提取节俭创新(FI)和社会创新(SI)的特点,以实现可持续发展。我们将利用所获得的见解,采用节俭创新和社会创新战略设计移动式初级医疗保健基础设施。目前缺乏为低资源环境设计可持续医疗基础设施的方法。关于建设可持续基础设施,为社区提供必要的基本医疗保健设施的文献还是空白。本文从节俭、社会性和可持续性的角度出发,研究了设计可持续基础设施的几个必要因素,以开发面向最后一英里人群的移动医疗基础设施。在设计、开发和部署移动初级保健中心(mPHC)时,我们采用了既定的标准。在此基础上,我们与利益相关者一起测试了所设计的系统,以收集见解。在这一阶段,我们发现利益相关者的反馈回路,以及在设计、开发、部署和测试阶段,专家、医务人员、护士、病人和初级保健中心其他工作人员之间的跨学科讨论,都有助于有效地做出设计决策。通过 FI 和 SI 方面设计的移动初级保健中心医疗基础设施,证明能够有效地为当地居民提供关键的医疗服务。注重社会包容性和重新平衡权力差距、克服社会挑战和提高人的能力,将创造出一种可持续的新型解决方案。
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引用次数: 0
Constructing an effective evaluation system to identify doctors’ research capabilities 构建有效的评估系统,确定医生的研究能力
Pub Date : 2024-02-01 DOI: 10.1002/hcs2.82
Xiaojing Hu
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引用次数: 0
Learning from socially driven frugal innovation to design the future of healthcare: A case of mobile Primary Health Center 从社会驱动的节俭创新中学习设计未来的医疗保健:流动初级保健中心案例
Pub Date : 2024-02-01 DOI: 10.1002/hcs2.80
Md Haseen Akhtar, Janakarajan Ramkumar
Despite their flaws, the low‐cost but powerful economical solutions can ensure everyone has access to health. The main aim of this study is to extract characteristics of frugal innovation (FI) and social innovation (SI) for Primary Health Centers (PHCs) in low resource settings (LRS) for sustainable development. We will use the gained insights to design the mobile primary healthcare infrastructure using FI and SI strategies. There is a lack of methodology to design sustainable healthcare infrastructure for LRS. There is a gap in the literature about building sustainable infrastructure to provide basic healthcare facilities essential to the community. This article studies several factors necessary for designing sustainable infrastructure from the lens of FI, SI, and sustainability to develop a mobile healthcare infrastructure for last‐mile people.Started with purposive sampled case studies to find out factors and criteria that most affect the success for an innovation to be frugal, social, and sustainable. The established criteria were used to design, develop, and deploy the mobile Primary Health Center (mPHC). Moving forward, we tested the system designed with stakeholders to gather insights. At this stage we found the feedback loop from the stakeholders and the role of interdisciplinary discussions between experts, medical officers, nurses, patient, and other staff of PHCs during the design, development, deployment, and test stage to be useful in taking design decisions efficiently.The designed healthcare infrastructure of mPHC through the aspects of FI and SI proves to be efficient in providing key healthcare services to LRS.Focusing on essential capabilities and optimizing performance with technology, methodologies, and processes reduces costs in an innovation. Focus on socially inclusive and rebalancing power disparities, overcome societal challenges and improve human capabilities will create a sustainable and novel solution.
尽管存在缺陷,但这些成本低但经济效益高的解决方案可以确保人人享有健康。本研究的主要目的是为低资源环境下的初级保健中心(PHC)提取节俭创新(FI)和社会创新(SI)的特点,以实现可持续发展。我们将利用所获得的见解,采用节俭创新和社会创新战略设计移动式初级医疗保健基础设施。目前缺乏为低资源环境设计可持续医疗基础设施的方法。关于建设可持续基础设施,为社区提供必要的基本医疗保健设施的文献还是空白。本文从节俭、社会性和可持续性的角度出发,研究了设计可持续基础设施的几个必要因素,以开发面向最后一英里人群的移动医疗基础设施。在设计、开发和部署移动初级保健中心(mPHC)时,我们采用了既定的标准。在此基础上,我们与利益相关者一起测试了所设计的系统,以收集见解。在这一阶段,我们发现利益相关者的反馈回路,以及在设计、开发、部署和测试阶段,专家、医务人员、护士、病人和初级保健中心其他工作人员之间的跨学科讨论,都有助于有效地做出设计决策。通过 FI 和 SI 方面设计的移动初级保健中心医疗基础设施,证明能够有效地为当地居民提供关键的医疗服务。注重社会包容性和重新平衡权力差距、克服社会挑战和提高人的能力,将创造出一种可持续的新型解决方案。
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引用次数: 0
Balancing medical innovation and affordability in the new healthcare ecosystem in China: Review of pharmaceutical pricing and reimbursement policies 在中国新的医疗生态系统中平衡医疗创新与可负担性:药品定价和报销政策回顾
Pub Date : 2023-12-11 DOI: 10.1002/hcs2.76
Vivian Chen, Wenbin Shao

The China Basic Medical Insurance Program was created in 1999 with three objectives: equal accessibility, affordability, and quality. Today, it has become the biggest medical insurance program in the world, covering 95% of China's population. Since 2015, China's healthcare ecosystem has been reshaped by increasing innovation, which has in turn been driven by regulatory reform, enhancement of research and development capability, and capital market development. There has also been improved regulatory efficiency to reduce lags in launching drugs. In 2022, nearly 20% of novel active substances launched globally were from China. China has also risen to become the second biggest contributor to innovation in terms of pipelines. Using a “fast-follow” strategy, many locally developed innovative drugs can compete with products from multinational companies in their quality and pricing. However, China's pharmaceutical and biotechnology industry will continue to face challenges in pricing and reimbursement, as well as a shortened product lifecycle with rapid price erosion. The government has already accelerated the timeline for updating the drug reimbursement list and is willing to create a high-quality medical insurance program. However, some obstacles are hard to overcome, including reimbursement for advanced therapies, limited funding and an increasing burden of disease due to an aging population. This article reviews the trajectory of medical innovation in China, including the challenges. Looking forward, balancing affordability and innovation will be critical for China to continue the trajectory of growth. The article also offers some suggestions for future policy reform, including optimizing reimbursement efficiency with a focus on high-quality solutions, enhancing the value assessment framework, payer repositioning from “value buyer” to “strategic buyer”, and developing alternative market access pathways for innovative drugs.

中国基本医疗保险项目创建于 1999 年,其三大目标是:平等可及、可负担得起和高质量。如今,它已成为世界上最大的医疗保险项目,覆盖了中国 95% 的人口。自 2015 年以来,中国的医疗生态系统因不断创新而重塑,而创新又因监管改革、研发能力提升和资本市场发展而得到推动。监管效率的提高也减少了药品上市的滞后性。2022 年,全球上市的新型活性物质中有近 20% 来自中国。就管线而言,中国也已跃升为第二大创新贡献国。通过 "快速跟进 "战略,许多本土研发的创新药物在质量和价格上都能与跨国公司的产品相抗衡。然而,中国的制药和生物技术产业仍将面临定价和报销方面的挑战,以及产品生命周期缩短、价格快速下降的问题。政府已经加快了更新药品报销目录的时间表,并愿意建立一个高质量的医疗保险项目。然而,一些障碍仍难以克服,包括先进疗法的报销、有限的资金以及人口老龄化带来的日益沉重的疾病负担。本文回顾了中国医疗创新的发展轨迹,包括面临的挑战。展望未来,平衡经济承受能力和创新对于中国继续保持增长至关重要。文章还对未来的政策改革提出了一些建议,包括优化报销效率,重点关注高质量的解决方案;加强价值评估框架;支付方从 "价值购买者 "重新定位为 "战略购买者";以及为创新药物开发其他市场准入途径。
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引用次数: 0
Investigating catastrophic health expenditure among people living with HIV and AIDS in South Western Nigeria 调查尼日利亚西南部艾滋病毒感染者和艾滋病患者的灾难性医疗支出
Pub Date : 2023-12-11 DOI: 10.1002/hcs2.77
Adeyinka Adeniran, Omobola Y. Ojo, Florence C. Chieme, Yeside Shogbamimu, Helen O. Olowofeso, Imane Sidibé, Oladipupo Fisher, Monsurat Adeleke

Background

This study aimed to determine the catastrophic healthcare expenditure (CHE) among people living with HIV (PLHIV) in Lagos and to identify factors associated with CHE among them.

Methods

The study was a descriptive cross-sectional survey conducted between January and March 2021 among 578 PLHIVs drawn from various healthcare facilities in Lagos where HIV care and treatment services should be provided free of charge. Data were collected through pretested questionnaires and analyzed using Stata SE 12.

Results

The mean monthly expenditure on food was N29,282 ($53.2), while expenditure on healthcare averaged N8364 ($15.2). Nearly 60% of respondents experienced CHE, while around 30% had to borrow money to pay for some aspect of their medical treatment. Almost all (96%) had no health insurance plan. Respondents' group, personal income, perception of current health status, and the number of people in their households were significantly associated with catastrophic health expenditure p < 0.05. PLHIV in the racial/ethnic minority/migrants' group and those who earned less than ₦30,000 ($55) were statistically significantly associated with CHE at p < 0.001 with OR of 28.7 and 3.15, respectively.

Conclusions

The study, therefore, highlights the widespread financial hardship faced by PLHIV in accessing healthcare, and the need for policies to increase financial risk protection.

背景 本研究旨在确定拉各斯艾滋病病毒感染者(PLHIV)的灾难性医疗支出(CHE),并找出与他们的灾难性医疗支出相关的因素。 研究方法 本研究是一项描述性横断面调查,于 2021 年 1 月至 3 月间在拉各斯 578 名艾滋病毒感染者中进行,这些艾滋病毒感染者来自拉各斯提供免费艾滋病毒护理和治疗服务的各医疗机构。数据通过预先测试的问卷收集,并使用 Stata SE 12 进行分析。 结果 平均每月食品支出为 29282 纳克法郎(53.2 美元),医疗支出平均为 8364 纳克法郎(15.2 美元)。近 60% 的受访者经历过 CHE,约 30% 的受访者不得不借钱来支付医疗费用的某些方面。几乎所有受访者(96%)都没有医疗保险计划。受访者的群体、个人收入、对当前健康状况的看法以及家庭人口数量与灾难性医疗支出有显著相关性 p < 0.05。在统计学上,少数种族/族裔/移民组别中的艾滋病毒感染者和收入低于 30,000 英镑(55 美元)的艾滋病毒感染者与灾难性医疗支出有显著相关性(p < 0.001),OR 值分别为 28.7 和 3.15。 结论 因此,本研究强调了艾滋病毒感染者在获得医疗保健服务时普遍面临的经济困难,以及制定政策以加强经济风险保护的必要性。
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引用次数: 0
Construction and application of standardized training effect evaluation system for new nurses in operating room 手术室新护士标准化培训效果评价体系的构建与应用
Pub Date : 2023-12-10 DOI: 10.1002/hcs2.75
Xiaoli Liu, Yanshu Wei, Jin Pei, Xiaozhou Wu

Background

This study aims to develop and validate a Structured Training Effectiveness Evaluation (STEE) tool based on the Kirkpatrick model for newly graduated registered nurses in the operating room in China.

Methods

The first phase will involve focus group and individual interviews with nursing educators and newly graduated registered nurses selected using purposive sampling. The data will be analyzed thematically to identify key components necessary to develop the STEE tool. The second phase will develop and validate the STEE tool through a panel of experts using the Delphi method. The item weights will be determined with the analytic hierarchy process technique. The third phase will involve implementation and evaluation of the STEE tool with an exploratory, nonexperimental, and comparative analysis. Descriptive and inferential statistical analyses will be performed with SPSS version 23.

Results

The STEE tool for newly graduated registered nurses in the operating room will be useful for evaluating training effectiveness during standardized training. The results obtained with this tool will clarify the effectiveness of training, thereby helping transform nursing students into competent nurses.

Conclusion

In this way, this study will provide practical guidance for improving standardized training programs and help newly graduated nurses manage their transition to the clinical work environment and remain in their posts.

本研究旨在开发并验证基于Kirkpatrick模型的中国手术室新毕业注册护士结构化培训效果评估(STEE)工具。第一阶段将涉及焦点小组和个人访谈护理教育工作者和新毕业的注册护士选择使用有目的的抽样。将对数据进行主题分析,以确定开发STEE工具所需的关键组件。第二阶段将通过专家小组使用德尔菲法开发和验证STEE工具。采用层次分析法确定项目权重。第三阶段将包括通过探索性、非实验性和比较分析来实施和评估STEE工具。描述性和推断性统计分析将与SPSS版本23进行。手术室新毕业注册护士的STEE工具将有助于在标准化培训中评估培训效果。使用此工具获得的结果将澄清培训的有效性,从而帮助将护理学生转变为合格的护士。因此,本研究将为完善规范化培训方案提供实践指导,帮助新毕业的护士顺利过渡到临床工作环境并留在岗位上。
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引用次数: 0
In-patient suicide after telephone delivery of bad news to a suspected COVID-19 patient: What could be done to improve communication quality? 向一名疑似 COVID-19 患者电话告知坏消息后住院患者自杀:如何提高沟通质量?
Pub Date : 2023-10-26 DOI: 10.1002/hcs2.74
Natalie Tin Yau So, Olivia Miu Yung Ngan

Breaking bad news is a critical communication competency for healthcare professionals. Any disclosure of a life-threatening event, such as a malignancy diagnosis, often causes significant stress to patients. While some patients may respond with acceptance and a determination to fight their illness, research has consistently shown that cancer patients often respond to the disclosure of their diagnosis with a range of negative emotions, such as anxiety, distress, and depression [1, 2]. These reactions are often accompanied by feelings of fear, uncertainty, and a sense of loss of control over their lives. Patients may also experience denial, manifesting as reluctance to accept or discuss the diagnosis [3]. Avoidance is another common reaction, where patients may choose to avoid certain situations or people that remind them of their illness [4]. These reactions are not uncommon and are a natural response to the stress and uncertainty of cancer diagnosis.

A common ethical dilemma in breaking a cancer diagnosis is that patients have different preferences and coping mechanisms when dealing with difficult news, and it is important to explore their wish to know about their health condition. Some patients may want to be fully informed about their diagnosis, prognosis, and treatment options, as they believe it empowers them to make decisions and take control of their healthcare. They may also value the opportunity to prepare emotionally and practically for the challenges that lie ahead. However, other patients may prefer to shield themselves from the potentially distressing information [5]. They may prioritize maintaining hope, protecting their mental well-being, or focusing on the present moment rather than dwelling on the future. Previous students showed that different cultures or religions influence how patients perceive the disease, their desire to know about the health condition, or their willingness to accept a diagnosis. For example, in some cultures, cancer is seen as a death sentence, leading to denial or avoidance of diagnosis and treatment [6]. There is a social stigma and gender label attached to cancer, which can lead to shame and embarrassment about the diagnosis [7-9]. Patients may be reluctant to seek medical attention, disclose their diagnosis, or follow through with treatment due to fear of being ostracized or discriminated against.

Remote communication methods like video and phone calls are being used more frequently to prevent the spread of the virus during disease outbreaks, such as the COVID-19 pandemic. It has become more difficult for healthcare professionals to inform patients about their cancer diagnosis. However, giving a cancer diagnosis over the phone can be a challenge since it does not allow for in-person support, and can come across as impersonal and insensitive. Unfortunately, in some cases, delivering bad news can have tragic conseq

打破坏消息是医疗保健专业人员的关键沟通能力。任何对危及生命的事件的披露,如恶性肿瘤诊断,往往会给患者带来巨大的压力。虽然一些患者可能会接受并决心与疾病作斗争,但研究一致表明,癌症患者通常会对自己的诊断结果做出一系列负面情绪的反应,如焦虑、痛苦和抑郁[1,2]。这些反应通常伴随着恐惧、不确定和对生活失去控制的感觉。患者也可能经历否认,表现为不愿接受或讨论诊断[3]。回避是另一种常见的反应,患者可能会选择避开某些使他们想起疾病的情况或人[4]。这些反应并不罕见,是对癌症诊断的压力和不确定性的自然反应。打破癌症诊断的一个常见的伦理困境是,患者在处理艰难的消息时有不同的偏好和应对机制,探索他们了解自己健康状况的愿望很重要。一些患者可能希望充分了解他们的诊断、预后和治疗方案,因为他们认为这使他们能够做出决定并控制自己的医疗保健。他们也可能重视为未来的挑战做好情感和实际准备的机会。然而,其他患者可能更愿意保护自己免受潜在的痛苦信息[5]。他们可能会优先考虑保持希望,保护他们的精神健康,或者关注现在而不是考虑未来。以前的学生表明,不同的文化或宗教会影响患者对疾病的看法,他们了解健康状况的愿望,或者他们接受诊断的意愿。例如,在某些文化中,癌症被视为死刑判决,导致拒绝或避免诊断和治疗[6]。癌症带有社会污名和性别标签,这可能导致对诊断的羞耻和尴尬[7-9]。由于害怕被排斥或歧视,患者可能不愿寻求医疗照顾、透露诊断或坚持治疗。在COVID-19大流行等疾病暴发期间,越来越多地使用视频和电话等远程通信方法来防止病毒传播。对于医疗保健专业人员来说,告知患者他们的癌症诊断结果变得越来越困难。然而,通过电话给出癌症诊断可能是一个挑战,因为它不允许面对面的支持,并且可能被认为是客观和麻木不仁的。不幸的是,在某些情况下,传递坏消息可能会带来悲剧性的后果。在新冠肺炎大流行期间,在香港隔离病房住院的一名老年患者在电话中被告知他患有恶性肿瘤,随后被塑料袋窒息而死。本文将研究一个现实生活中的自杀案例,病人通过电话被告知他们的癌症诊断,并讨论电信对打破坏消息的影响[10]。老年男性A先生于2022年因呼吸短促、胸部不适、双侧下肢水肿入院。进行了CT扫描,之后患者和他的妻子被告知疑似转移性肺癌的诊断。他后来在住院期间成为COVID-19的密切接触者,并被转移到隔离隔间。提供了一个装在塑料袋里的一次性便池。血液中肿瘤标志物的检测后来证实了他的癌症诊断,值班医生很快通过病房电话把这个坏消息告诉了病人。两天后,患者被发现昏迷不醒地躺在床上,头部被塑料袋包裹着。尽管进行了复苏,病人最终还是死了。在丧亲访谈中,患者家属回忆说,患者曾表示有疼痛和睡眠困难。案例涵盖了几个主题,包括医疗保健、患者护理、癌症诊断、COVID-19、隔离协议、与患者及其家属的沟通,以及在医疗保健环境中解决疼痛和睡眠问题的重要性。没有办法回顾性地知道,医生通过病房电话透露癌症诊断的选择是否导致了病人的自杀。尽管如此,在医院里通过电话透露坏消息是否合适还是值得讨论的。这一悲惨事件凸显了在住院期间对患者进行适当护理和沟通的重要性。 透露坏消息是医护人员的一项重要沟通能力。任何危及生命事件(如恶性肿瘤诊断)的披露都会给患者带来巨大压力。虽然有些患者可能会接受并决心与病魔抗争,但研究一致表明,癌症患者在得知诊断结果后往往会产生一系列负面情绪,如焦虑、痛苦和抑郁[1, 2]。这些反应往往伴随着恐惧、不确定感和对生活失去控制的感觉。患者还可能出现否认的情绪,表现为不愿接受或讨论诊断结果[3]。回避是另一种常见的反应,患者可能会选择回避某些会让他们联想到自己疾病的环境或人群[4]。这些反应并不罕见,是对癌症诊断的压力和不确定性的自然反应。打破癌症诊断的一个常见的伦理困境是,患者在处理困难消息时有不同的偏好和应对机制,因此探索他们了解自己健康状况的愿望非常重要。有些患者可能希望充分了解自己的诊断、预后和治疗方案,因为他们认为这能让他们做出决定并掌控自己的医疗保健。他们也会珍惜这个机会,为未来的挑战做好情感和实际的准备。然而,另一些患者可能更愿意回避这些可能令人痛苦的信息[5]。他们可能会优先考虑保持希望、保护自己的精神健康,或专注于当下而不是沉浸于未来。以往的研究表明,不同的文化或宗教会影响患者对疾病的看法、了解健康状况的愿望或接受诊断的意愿。例如,在某些文化中,癌症被视为死刑,导致否认或回避诊断和治疗[6]。癌症会被贴上社会污名和性别标签,从而导致患者对诊断感到羞耻和尴尬[7-9]。由于害怕受到排斥或歧视,患者可能不愿意就医、透露诊断结果或坚持治疗。在疾病爆发(如 COVID-19 大流行)期间,为了防止病毒传播,视频和电话等远程通信方式被更频繁地使用。医护人员向患者告知癌症诊断结果变得更加困难。然而,通过电话告知癌症诊断结果可能是一项挑战,因为它无法提供面对面的支持,而且可能显得不近人情和麻木不仁。不幸的是,在某些情况下,提供坏消息可能会带来悲剧性后果。其中一个例子发生在香港 COVID-19 大流行期间,一名住在隔离病房的老年患者在电话中被告知其恶性肿瘤诊断结果,随后使用塑料袋窒息而死。本文将研究一个真实的医院自杀案例,患者在通过电话被告知癌症诊断后自杀身亡,并讨论远程通信对打破坏消息的影响[10]。该案例涉及多个主题,包括医疗保健、患者护理、癌症诊断、COVID-19、隔离协议、与患者及其家属的沟通,以及在医疗保健环境中解决疼痛和睡眠问题的重要性。回想起来,我们无从得知医生选择通过病房电话透露癌症诊断结果是否导致了患者自杀。尽管如此,在医院环境中通过电话透露坏消息是否恰当仍值得讨论。这起悲剧事件凸显了在住院期间对病人进行适当护理和沟通的重要性。COVID-19 大流行表明,当出于感染控制的考虑,传统的面对面咨询变得不那么可取时,电话沟通可能是必要的。那么,我们应该如何调整,才能以感同身受的方式,巧妙地远程发布坏消息呢?在 COVID-19 时代,许多学者都参与了有关调整以改善远程坏消息沟通的讨论。Landa-Ramirez 等人提出了一个系统工具来帮助医疗服务提供者虚拟传递坏消息[27],而 Vitto 等人和 Gonçalves Júnior, Jucier 等人则提出了修改 SPIKES 协议的方法,以便在虚拟传递坏消息时更好地满足患者的需求[15, 28]。A 先生的癌症诊断是通过病房电话告知的。如果可能,智能手机或平板电脑等带有视频和音频的通讯设备比仅有音频的通讯设备更受欢迎[29]。 在典型的临床环境中,患者依靠医生提供个性化的信息,解释治疗方案,并帮助他们了解自己的情况,做出明智的决定。医生被期望传达令人不快的消息,但他们的角色不仅仅是在临床环境中透露诊断结果。伦理困境一直持续,直到病人表明他们希望获得多少关于他们医疗状况的信息的偏好。确定患者是否想要完全或部分了解情况,还是被蒙在鼓里,这一点至关重要。这种方法确保医生坚持伦理原则,如尊重病人的自主权和促进慈善。这一点尤其重要,因为最近的一项荟萃分析发现,在中国文化中,医生和护理人员通常不会向患者透露严重的医疗状况,如癌症,以保护他们的心理健康[11]。即使医生选择不透露诊断或预后,他们也应该遵循患者的意愿,坚持道
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