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Adverse events involving medical devices in Dutch hospitals: A patient record review study 荷兰医院中涉及医疗器械的不良事件:一项患者记录回顾研究
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-30 DOI: 10.1016/j.hlpt.2025.101063
Mees.C. Baartmans , Steffie.M. van Schoten , Bo Schouten , Linda van Eikenhorst , Renske M. Hoeben , Henk Asscheman , Cordula Wagner

Objectives

To report the incidence of potentially preventable Adverse Events involving a Medical Device (AEMD) and provide an overview of specific topics on how devices were involved in causing patient harm.

Methods

A retrospective nationwide patient record review study using randomly selected records of 2998 patients deceased during their admission in 20 Dutch hospitals in 2019.

Results

63 potentially preventable AEMDs were identified, corresponding to a weighted incidence of 1.9 % (95CI 1.5 %-2.5 %). Medical devices were involved in about half of all potentially preventable adverse events. Consequences for patients were often severe. Themes in how medical devices were involved in causing patient harm were: Endoscopes causing perforations and hemorrhages, bleedings and infections after placement of heart- and vascular implants, and respiratory harm related to naso- and orogastric tube application. In most cases, the role of the device in causing adverse events was that of prompting a known complication. Preventability in these cases often lied in the subsequent management of the bleeding, perforation or infection.

Conclusions

AEMDs occur in a small percentage of patients admitted and deceased in Dutch hospitals, but do represent a substantial part of all potentially preventable adverse events identified amongst the old and severely comorbid patient group in this study. An additional analysis of the data, provided a more thorough understanding of how the use of medical devices contributes to patient harm. Other study designs are necessary to learn more about technical and organizational issues that might trigger AEMDs.

Public interest summary

Most medical device applications are safe and effective. Though in a small number of cases an Adverse Event involving a Medical Device (AEMD) occurs. This study found that in 1.9 % (95CI 1.5 %-2.5 %) of patients deceased during their admission in 20 Dutch hospitals in 2019 a potentially preventable AEMD occurred. Identified topics in these AEMDs were perforations, bleedings, and infections after application of endoscopes, heart- and vascular implants, and tubes for enteral feeding or drainage. The role of the devices in these AEMDs was often that of prompting a known complication and considered non-preventable. Preventability in most cases lied in the subsequent management of the perforation, bleeding or infection.
目的报告涉及医疗器械(AEMD)的潜在可预防不良事件的发生率,并提供有关器械如何导致患者伤害的特定主题的概述。方法对荷兰20家医院2019年住院期间死亡的2998例患者进行回顾性全国病历回顾研究。结果共发现63例潜在可预防的aemd,加权发生率为1.9% (95CI为1.5% - 2.5%)。在所有可能可预防的不良事件中,约有一半涉及医疗器械。对病人造成的后果往往很严重。医疗器械如何对患者造成伤害的主题是:内窥镜引起穿孔和出血,心脏和血管植入物放置后出血和感染,以及与鼻和胃管应用有关的呼吸伤害。在大多数情况下,器械在引起不良事件中的作用是引起已知的并发症。这些病例的可预防性往往在于出血、穿孔或感染的后续处理。结论:saemd发生在荷兰医院住院和死亡患者中的比例很小,但在本研究中发现的老年和严重合并症患者组中,saemd确实代表了所有潜在可预防的不良事件的很大一部分。对数据的进一步分析使人们对医疗设备的使用如何对患者造成伤害有了更全面的了解。其他研究设计是必要的,以了解更多可能引发aemd的技术和组织问题。大多数医疗器械的应用是安全有效的。虽然在少数情况下会发生涉及医疗器械的不良事件(AEMD)。该研究发现,2019年,在20家荷兰医院住院期间死亡的患者中,有1.9% (95CI 1.5% - 2.5%)发生了潜在的可预防的AEMD。这些aemd确定的主题是应用内窥镜、心脏和血管植入物以及肠内喂养或引流管后的穿孔、出血和感染。这些设备在aemd中的作用通常是引发已知的并发症,并且被认为是不可预防的。在大多数情况下,可预防性在于对穿孔、出血或感染的后续处理。
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引用次数: 0
Lowering inequality in access to emergency contraception: The effect of a Chilean public policy 降低获得紧急避孕方面的不平等:智利一项公共政策的影响
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-28 DOI: 10.1016/j.hlpt.2025.101066
Sebastián Lavanderos , Andrea Morales , Camilo Riquelme , Juan Haase

Objectives

To evaluate the impact of legal changes, specifically Law 20.418, on reducing inequality in emergency contraception (EC) access in Chile between 2008 and 2013.

Methods

A longitudinal, retrospective analysis was conducted using data from the Monthly Statistical Record (REM) of the Chilean Ministry of Health. EC consultation rates were calculated for ambulatory and total consultations, including rape-related cases, across communes. Inequality was assessed using Lorenz curves and four inequality indicators: Gini index, Theil index, coefficient of variation, and 75/25 ratio.

Results

The study found a significant reduction in communal inequality in EC consultations after the implementation of Law 20.418 in 2010. Between 2008 and 2013, the Gini index for ambulatory consultations decreased by 41 %, while for total consultations, it dropped by 20 %. Other inequality indicators also showed substantial decreases, with the 75/25 ratio decreasing by 73 % for ambulatory consultations. Regional analysis revealed a consistent downward trend in inequality, with the most significant improvements occurring in areas with higher consultation rates.

Conclusions

The findings indicate that the legal reforms introduced by Law 20.418 contributed to reducing disparities in EC access across communes. Despite improvements, some residual inequalities persist, highlighting the need for further research to identify and address remaining barriers to equitable EC access in certain regions.

Lay Summary

This study evaluates the impact of Chile's Law 20.418, which mandated the provision of emergency contraception (EC) in the public health system, on reducing access inequality. Data from 2008 to 2013 show a significant decrease in inequality in EC consultations across communes. The Gini index and other inequality indicators revealed improvements, with a 41 % reduction in inequality for ambulatory consultations and a 20 % reduction for total consultations. These changes are linked to the law's implementation, which expanded EC access, particularly in rural and underserved areas. Despite the progress, some disparities remain, suggesting that while policy interventions have made access more equitable, further efforts are needed to address residual barriers. This study highlights the importance of legal frameworks in promoting health equity, particularly in reproductive healthcare.
目的评估2008年至2013年期间智利法律变化,特别是第20.418号法律对减少紧急避孕(EC)获取不平等的影响。方法采用智利卫生部每月统计记录(REM)资料进行纵向、回顾性分析。计算了各社区的门诊和总会诊率,包括与强奸有关的案件。采用Lorenz曲线和四个不平等指标:基尼指数、Theil指数、变异系数和75/25比率来评估不平等。研究发现,2010年第20.418号法律实施后,欧共体咨询中的社区不平等现象显著减少。2008年至2013年间,门诊咨询的基尼系数下降了41%,而总咨询的基尼系数下降了20%。其他不平等指标也大幅下降,门诊咨询的75/25比率下降了73%。区域分析显示,不平等现象呈持续下降趋势,在咨询率较高的地区改善最为显著。研究结果表明,第20.418号法律引入的法律改革有助于减少各社区在获取欧共体方面的差距。尽管有所改善,但仍然存在一些不平等现象,突出表明需要进一步研究,以确定和解决某些区域公平获得欧共体的仍然存在的障碍。本研究评估了智利第20.418号法律的影响,该法律规定在公共卫生系统中提供紧急避孕(EC),以减少获取不平等。2008年至2013年的数据显示,各社区的欧共体咨询不平等现象显著减少。基尼指数和其他不平等指标显示出改善,门诊不平等减少了41%,总咨询减少了20%。这些变化与该法的实施有关,该法扩大了电子商务的使用范围,特别是在农村和服务不足的地区。尽管取得了进展,但仍然存在一些差距,这表明虽然政策干预使获得机会更加公平,但需要进一步努力解决剩余的障碍。这项研究强调了法律框架在促进健康公平方面的重要性,特别是在生殖保健方面。
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引用次数: 0
The introduction of AI into OpenNotes and the prospects for dialogue 将人工智能引入OpenNotes以及对话的前景
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-23 DOI: 10.1016/j.hlpt.2025.101059
John W. Murphy, Caroline Irene-Alonso Miles

Objectives

OpenNotes is a platform that allows patients and their caregivers to both review and modify case notes. Through this strategy the clinical process will be transparent and trust can be established between these persons. The aim of this paper is to shed some light on the problems that may arise from OpenNotes introducing AI into this process. Accompanying this change is the introduction of technologically mediated communication into the production of case notes.

Methods

An examination was conducted of technologically mediated communication and the impact of this mode of interaction on the collaborative relationship that OpenNotes strives to foster.

Results

Technologically mediated communication modifies significantly interaction, thereby altering the clinical setting. Specifically important is that clients may be intimidated by this technology, inadequate responses may be given to client inquiries, language use may be overly simplified, and automation may require standardization that distorts patient-caregiver dialogue.

Conclusions

The introduction of AI may undermine the trust that OpenNotes is designed to improve in the clinical setting. Patient-caregiver interaction may become transactional, if proponents of using in OpenNotes are not careful. The rush to adopting AI should be tempered, so that the impact of this technology on patient-caregiver dialogue can be critically assessed.
opennotes是一个允许患者及其护理人员查看和修改病例记录的平台。通过这种策略,临床过程将是透明的,这些人之间可以建立信任。本文的目的是阐明OpenNotes在此过程中引入人工智能可能产生的问题。伴随这一变化的是在案例记录的制作中引入了以技术为媒介的交流。方法对技术媒介的沟通以及这种交互模式对OpenNotes努力培养的协作关系的影响进行了检查。结果技术介导的沟通显著改变了相互作用,从而改变了临床环境。特别重要的是,客户可能会被这种技术吓倒,对客户的询问可能会给出不充分的回应,语言使用可能会过度简化,自动化可能需要标准化,从而扭曲患者与护理人员的对话。人工智能的引入可能会破坏OpenNotes旨在改善临床环境的信任。如果使用OpenNotes的支持者不小心,病人与护理者的互动可能会变成事务性的。采用人工智能的匆忙应该有所缓和,这样这项技术对病人和护理者对话的影响就可以得到严格的评估。
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引用次数: 0
Costs and psychosocial burden of tuberculosis to the treatment supporters in Ghana 加纳结核病治疗支持者的费用和心理负担
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-20 DOI: 10.1016/j.hlpt.2025.101060
Robert Bagngmen Bio , Patricia Akweongo , John Azaare , Francis Adane , Kasim Abdulai , Richard Ali Laar , Abraham Titiati

Objectives

Tuberculosis treatment supporters contribute crucially to tuberculosis control and prevention without financial compensation. The World Health Organization recommends direct observation of treatment, involving supporters who incurred costs for frequent health facility visits and waiting times, potentially impacting their socio-economic status. This study aims to inform tuberculosis control and prevention policy by determining the costs and psychosocial burden associated with treatment support.

Methods

A cross-sectional cost-of-illness approach, data from 385 supporters were collected through validated questionnaires. Both direct and indirect costs were assessed, with psychosocial burden measured using the Zarit Burden Interview (ZBI) 12-item questionnaire.

Results

Results reveal that, on average, supporters spent GHS 122.4 (US$21.1) monthly, constituting 19 % of their income. A significant 77.1 % experienced a high burden on the ZBI scale, with females facing a greater burden than males. Socio-demographic factors such as education, household size, income, and district of residence influenced both direct and indirect costs.

Conclusion

In conclusion, the study underscores the substantial costs and psychosocial burden on tuberculosis treatment supporters and recommends extending the livelihood empowerment against poverty program in Ghana to cover treatment support costs.
目的结核病治疗支持者在没有经济补偿的情况下为结核病控制和预防做出了重要贡献。世界卫生组织建议直接观察治疗情况,涉及因经常前往卫生设施和等待时间而产生费用的支持者,这可能影响他们的社会经济地位。本研究旨在通过确定与治疗支持相关的费用和社会心理负担,为结核病控制和预防政策提供信息。方法采用横断面疾病成本法,通过有效问卷收集385名支持者的数据。评估了直接和间接成本,并使用Zarit负担访谈(ZBI) 12项问卷测量了心理社会负担。结果显示,支持者平均每月花费122.4 GHS(21.1美元),占其收入的19%。77.1%的人在ZBI量表上经历了高负担,女性比男性面临更大的负担。教育、家庭规模、收入和居住地区等社会人口因素对直接和间接成本都有影响。总之,该研究强调了结核病治疗支持者的巨大成本和心理社会负担,并建议扩大加纳的生计赋权减贫项目,以涵盖治疗支持成本。
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引用次数: 0
Global ChatGPT interest across healthcare and education access 全球ChatGPT对医疗保健和教育访问的兴趣
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-18 DOI: 10.1016/j.hlpt.2025.101061
Amrit Kirpalani

Objectives

The rapid adoption of AI tools like ChatGPT has transformed information access, particularly in healthcare. However, engagement with AI may be influenced by factors such as healthcare accessibility and educational resources, with potential implications for misinformation in low-resource settings. This study investigates the relationship between physician density, tertiary education enrollment, and national interest in ChatGPT.

Methods

A cross-sectional analysis was conducted using global datasets. Physician density, tertiary education enrollment, GDP, and internet penetration were sourced from WHO, UNESCO, and the World Bank, respectively. The primary outcome, ChatGPT interest scores, was derived from Google Trends. Pearson correlation and multiple linear regression analyses were used to explore associations, controlling for GDP and internet penetration. Logistic regression was employed as a sensitivity analysis, categorizing variables into high and low groups.

Results

Data from 100 countries were analyzed. A significant negative correlation was observed between physician density and ChatGPT interest (r = -0.32, p = 0.012). Multiple linear regression confirmed that lower physician density was significantly associated with higher ChatGPT interest (β = -0.2857, p = 0.045). Tertiary education enrollment showed no significant association with ChatGPT interest. Logistic regression supported these findings, with higher physician density significantly reducing the likelihood of high ChatGPT interest (OR = 0.214, p = 0.001).

Conclusion

Our study suggests that regions with fewer healthcare professionals may engage more with AI tools like ChatGPT, highlighting the need for careful integration of AI into healthcare systems to prevent misinformation and support equitable access to reliable health information.

Public Interest Summary

It is well known that people who have difficulty in accessing healthcare may turn to the internet for medical advice, but it is not yet known if artificial intelligence, like ChatGPT, is being adopted by users for this same purpose. Given the widespread use of ChatGPT, this study explored whether ChatGPT interest in different countries was related to the number of physicians in those countries. We found that in countries with fewer doctors per capita, public interest in ChatGPT tends to be higher. While this does not confirm that people are using ChatGPT specifically for medical advice, it raises important questions about how AI may be filling gaps in access to healthcare. Given the potential for AI to spread inaccurate information, these findings highlight the need for careful regulation to ensure AI tools are used responsibly and do not contribute to misinformation in healthcare.
ChatGPT等人工智能工具的迅速采用改变了信息访问方式,特别是在医疗保健领域。然而,与人工智能的接触可能会受到医疗保健可及性和教育资源等因素的影响,在资源匮乏的环境中可能会产生错误信息。本研究调查了医师密度、高等教育入学率和国家对ChatGPT的兴趣之间的关系。方法采用全球数据集进行横断面分析。医生密度、高等教育入学率、GDP和互联网普及率分别来自世卫组织、联合国教科文组织和世界银行。主要结果ChatGPT兴趣评分来源于谷歌Trends。使用Pearson相关和多元线性回归分析来探索关联,控制GDP和互联网普及率。采用Logistic回归作为敏感性分析,将变量分为高组和低组。结果分析了来自100个国家的数据。医师密度与ChatGPT兴趣呈显著负相关(r = -0.32, p = 0.012)。多元线性回归证实,较低的医师密度与较高的ChatGPT兴趣显著相关(β = -0.2857, p = 0.045)。高等教育入学率与ChatGPT兴趣无显著关联。Logistic回归支持这些发现,较高的医生密度显著降低了ChatGPT高兴趣的可能性(OR = 0.214, p = 0.001)。我们的研究表明,医疗保健专业人员较少的地区可能会更多地使用ChatGPT等人工智能工具,这突出了将人工智能仔细整合到医疗保健系统中以防止错误信息并支持公平获取可靠卫生信息的必要性。公共利益摘要众所周知,难以获得医疗服务的人可能会转向互联网寻求医疗建议,但目前尚不清楚用户是否正在采用人工智能(如ChatGPT)来实现同样的目的。鉴于ChatGPT的广泛使用,本研究探讨了不同国家对ChatGPT的兴趣是否与这些国家的医生数量有关。我们发现,在人均医生人数较少的国家,公众对ChatGPT的兴趣往往更高。虽然这并不能证实人们使用ChatGPT是专门为了获得医疗建议,但它提出了一个重要的问题,即人工智能将如何填补获得医疗保健的空白。鉴于人工智能有可能传播不准确的信息,这些发现强调了谨慎监管的必要性,以确保人工智能工具得到负责任的使用,不会导致医疗保健领域的错误信息。
{"title":"Global ChatGPT interest across healthcare and education access","authors":"Amrit Kirpalani","doi":"10.1016/j.hlpt.2025.101061","DOIUrl":"10.1016/j.hlpt.2025.101061","url":null,"abstract":"<div><h3>Objectives</h3><div>The rapid adoption of AI tools like ChatGPT has transformed information access, particularly in healthcare. However, engagement with AI may be influenced by factors such as healthcare accessibility and educational resources, with potential implications for misinformation in low-resource settings. This study investigates the relationship between physician density, tertiary education enrollment, and national interest in ChatGPT.</div></div><div><h3>Methods</h3><div>A cross-sectional analysis was conducted using global datasets. Physician density, tertiary education enrollment, GDP, and internet penetration were sourced from WHO, UNESCO, and the World Bank, respectively. The primary outcome, ChatGPT interest scores, was derived from Google Trends. Pearson correlation and multiple linear regression analyses were used to explore associations, controlling for GDP and internet penetration. Logistic regression was employed as a sensitivity analysis, categorizing variables into high and low groups.</div></div><div><h3>Results</h3><div>Data from 100 countries were analyzed. A significant negative correlation was observed between physician density and ChatGPT interest (<em>r</em> = -0.32, <em>p</em> = 0.012). Multiple linear regression confirmed that lower physician density was significantly associated with higher ChatGPT interest (β = -0.2857, <em>p</em> = 0.045). Tertiary education enrollment showed no significant association with ChatGPT interest. Logistic regression supported these findings, with higher physician density significantly reducing the likelihood of high ChatGPT interest (OR = 0.214, <em>p</em> = 0.001).</div></div><div><h3>Conclusion</h3><div>Our study suggests that regions with fewer healthcare professionals may engage more with AI tools like ChatGPT, highlighting the need for careful integration of AI into healthcare systems to prevent misinformation and support equitable access to reliable health information.</div></div><div><h3>Public Interest Summary</h3><div>It is well known that people who have difficulty in accessing healthcare may turn to the internet for medical advice, but it is not yet known if artificial intelligence, like ChatGPT, is being adopted by users for this same purpose. Given the widespread use of ChatGPT, this study explored whether ChatGPT interest in different countries was related to the number of physicians in those countries. We found that in countries with fewer doctors per capita, public interest in ChatGPT tends to be higher. While this does not confirm that people are using ChatGPT specifically for medical advice, it raises important questions about how AI may be filling gaps in access to healthcare. Given the potential for AI to spread inaccurate information, these findings highlight the need for careful regulation to ensure AI tools are used responsibly and do not contribute to misinformation in healthcare.</div></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"14 5","pages":"Article 101061"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Narrative review and bibliometric analysis on infodemics and health misinformation: A trending global issue 关于信息学和卫生错误信息的叙述回顾和文献计量学分析:一个全球趋势问题
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-16 DOI: 10.1016/j.hlpt.2025.101058
Muhammad Iqhrammullah , Naufal Gusti , Asyraf Muzaffar , Yousef Khader , Sidik Maulana , Marius Rademaker , Asnawi Abdullah

Background

The COVID-19 pandemic exposed how infodemics undermine public health efforts, which subsequently led to the promotion of harmful behaviors. This review aimed to examine major sources of misinformation and explore how demographic and socioeconomic factors affect digital and health literacy, shaping vulnerability to infodemics.

Methods

A narrative review was conducted to synthesize evidence on the pathways, sources, and social determinants of health misinformation. Additionally, a bibliometric analysis was performed using Scopus data from 1997 to 2024, analyzed via Bibliometrix and VOSviewer. The analysis focused on publications related to infodemics and health misinformation on digital platforms, mapping thematic clusters, trends, and keyword co-occurrences.

Results

Mainstream news media, social media, and scientific journals each play a role in disseminating misinformation, exacerbated by time pressure, algorithmic amplification, and inadequate validation processes. Factors attributable to low digital and health literacy include age, education, income, and internet access, which increase vulnerability to misinformation. The bibliometric analysis revealed exponential growth in related research, peaking during the COVID-19 pandemic. Eight dominant research clusters were identified: Health communication and social media; Infodemiology and data analysis; COVID-19 and misinformation; Public and digital health; Vaccine hesitancy; Risk and infodemic management; Conspiracy theories in social media; and Crisis communication.

Conclusion

Infodemics are driven by multi-source digital misinformation and disproportionately affect those with limited literacy. Fact-checking as a mitigation effort can be developed by leveraging artificial intelligence, machine learning, and natural language processing, yet strengthening digital and health literacy remains critical.
2019冠状病毒病大流行暴露了信息流行病如何破坏公共卫生工作,从而导致促进有害行为。本综述旨在检查错误信息的主要来源,并探讨人口和社会经济因素如何影响数字和健康素养,形成对信息流行病的脆弱性。方法对健康错误信息的途径、来源和社会决定因素进行综述。此外,对1997 - 2024年Scopus数据进行文献计量学分析,并通过Bibliometrix和VOSviewer进行分析。分析的重点是与数字平台上的信息流行病和卫生错误信息有关的出版物,绘制专题集群、趋势和关键词共现情况。结果主流新闻媒体、社交媒体和科学期刊都在传播错误信息方面发挥了作用,时间压力、算法放大和不充分的验证过程加剧了这种情况。数字和健康素养低的因素包括年龄、教育、收入和互联网接入,这些因素增加了对错误信息的脆弱性。文献计量学分析显示,相关研究呈指数增长,在COVID-19大流行期间达到顶峰。确定了八个主要研究集群:健康传播和社交媒体;信息流行病学和数据分析;COVID-19和错误信息;公共卫生和数字卫生;疫苗犹豫;风险和信息管理;社交媒体中的阴谋论;危机沟通。结论信息流行病是由多来源的数字错误信息驱动的,对识字率有限的人群影响尤为严重。通过利用人工智能、机器学习和自然语言处理,可以开发事实核查作为缓解措施,但加强数字和健康素养仍然至关重要。
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引用次数: 0
Integrating internationally educated nurses into the nursing faculty workforce: a new policy for nursing regulators 将受过国际教育的护士纳入护理教师队伍:护理监管机构的新政策
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-13 DOI: 10.1016/j.hlpt.2025.101057
Houssem Eddine Ben-Ahmed , Intissar Souli , Emmanuel Akwasi Marfo , Abir Rebhi
Nursing faculty shortages received less attention in the literature and media outlets compared to registered clinical nursing staff shortages. One may question whether we do not have enough nursing faculty to teach and train students, who will take that responsibility? This critical question should be addressed by nursing leaders, researchers, and key system partners to develop innovative and sustainable policies that reduce nursing faculty shortages. Otherwise, the nursing faculty shortage would negatively affect the quality of nursing education and lead to a declining number of nursing seats, which should be avoided as we need more nurses in the upcoming years. This paper suggested developing a new policy for nursing regulators, titled “Non-clinical Academic Registration Category”, to support internationally educated nurses (IENs) with master's or doctoral degrees who wish to contribute to the nursing faculty workforce. To better understand the context of this policy and its benefits, the paper described the challenges of the registration process experienced by three IENs and the implications of integrating them into the workforce. Through collective and innovative policies, we can empower the future nursing faculty workforce and rationally respond to the ongoing crisis.
与注册临床护理人员短缺相比,文献和媒体对护理人员短缺的关注较少。有人可能会问,我们是否没有足够的护理教师来教授和培训学生,谁来承担这个责任?护理领导、研究人员和关键系统合作伙伴应该解决这个关键问题,以制定创新和可持续的政策,减少护理教师短缺。否则,护理师资的短缺会影响护理教育的质量,导致护理席位的减少,这是我们应该避免的,因为我们在未来几年需要更多的护士。本文建议为护理监管机构制定一项名为“非临床学术注册类别”的新政策,以支持具有硕士或博士学位的国际教育护士(IENs)希望为护理教师队伍做出贡献。为了更好地理解这一政策的背景及其好处,本文描述了三个IENs在注册过程中遇到的挑战以及将他们融入劳动力队伍的影响。通过集体和创新的政策,我们可以增强未来护理教师队伍的能力,理性地应对当前的危机。
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引用次数: 0
The emergence and future of precision public health: a scoping review 精准公共卫生的出现和未来:范围审查
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-11 DOI: 10.1016/j.hlpt.2025.101056
Ms Rebecca Bosward, Annette Braunack-Mayer, Ms Emma Frost, Stacy Carter

Objectives

Rapid uptake of big data and technologies in healthcare are transforming methodological capabilities in medicine and public health, giving rise to new fields such as precision public health. We conceptualised precision public health as an emerging technology to understand the emergence of this term and its associated characteristics.

Methods

We undertook a scoping review to collate and analyse existing literature on precision public health. Documents in English that mentioned the exact phrase “precision public health” were searched for in CINAHL, Medline, PubMed, Scopus, Web of Science and Google Scholar. A descriptive statistical analysis was performed on resulting documents to generate an account of precision public health terminology and definitions as well as author and funder characteristics of articles. Data were analysed through a sociotechnical lens, which is an approach for understanding how technologies emerge and disrupt existing systems.

Results

Precision public health was ill-defined at first but is now stabilising. Using an emerging technology conceptual framework, we identified characteristics of precision public health including rapid growth, incoherence, uncertainty about future impacts and outcomes, and ambiguity about use of terminology. Novelty was contested.

Conclusions

Definitions of precision public health are continuously changing, and terms have different meanings and uses. Lack of consensus on definitions and terms for precision public health may impact progress of resarch. A single definitions of precision public health is not achievable; however, definitions should be negotiable among stakeholders, acknowledge similarities and differences between stakeholder values and expectations, and reflect research and policy objectives.

Public interest summary

Precision public health is an emerging field which often relies on data-centric approaches, including artificial intelligence and machine learning, to improve population health outcomes, which potentially disrupt traditional evidence-based research methods and practice. We conducted a scoping review of current literature, and conceptualised precision public health as an emerging technology to understand how it impacts evidence-based practice and how terms and definitions of precision public health have changed over time.
There is currently no consensus around terms and definitions most appropriate for the field and the absence of empirical evidence makes it difficult to evaluate potential future impacts. If precision public health is going to deliver on its promises, researchers and practitioners must be transparent about reporting potential uncertainties, benefits and harms. Definitions should also be open and negotiable among stakeholders in precision public health, and reflect research and policy objectives.
目的大数据和技术在医疗保健领域的快速应用正在改变医学和公共卫生的方法论能力,催生出精准公共卫生等新领域。我们将精确公共卫生概念化为一种新兴技术,以理解这一术语的出现及其相关特征。方法对现有的精准公共卫生文献进行整理和分析。在CINAHL、Medline、PubMed、Scopus、Web of Science和b谷歌Scholar中搜索了提到“精准公共卫生”这个短语的英文文档。对结果文件进行了描述性统计分析,以生成精确的公共卫生术语和定义以及文章的作者和资助者特征。数据通过社会技术视角进行分析,这是一种理解技术如何出现并破坏现有系统的方法。结果精密度公共卫生最初定义不清,但目前已趋于稳定。使用新兴的技术概念框架,我们确定了精准公共卫生的特征,包括快速增长、不连贯、未来影响和结果的不确定性以及术语使用的模糊性。新颖性受到了质疑。结论精准公共卫生的定义在不断变化,术语的含义和用途也不尽相同。对精确公共卫生的定义和术语缺乏共识可能会影响研究进展。精确公共卫生的单一定义是无法实现的;然而,定义应该在利益相关者之间进行协商,承认利益相关者价值观和期望之间的异同,并反映研究和政策目标。精准公共卫生是一个新兴领域,通常依赖于以数据为中心的方法,包括人工智能和机器学习,来改善人口健康结果,这可能会破坏传统的循证研究方法和实践。我们对现有文献进行了范围审查,并将精确公共卫生概念化为一种新兴技术,以了解它如何影响循证实践以及精确公共卫生的术语和定义如何随时间变化。目前还没有就最适合该领域的术语和定义达成共识,而且由于缺乏经验证据,因此难以评价未来的潜在影响。如果精准公共卫生要实现其承诺,研究人员和从业人员必须在报告潜在的不确定性、利益和危害方面保持透明。定义还应在精准公共卫生的利益攸关方之间公开和可协商,并反映研究和政策目标。
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引用次数: 0
How has Aggregated Mobility Data-informed public health research? 综合流动数据如何为公共卫生研究提供信息?
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-08 DOI: 10.1016/j.hlpt.2025.101055
Jennifer Turnnidge , Oluwatoyosi Kuforiji , Sina Sayyad , Sarah Greco , Sawmmiya Kirupaharan , Angélique Roy , Nancy Dalgarno , Angel Zhou , Mir Sanim Al Mamun , Hiroshi Mamiya , Khai Hoan Tram , Sahar Saeed

Objective

The widespread adoption of smartphones has enabled the collection and analysis of population-level mobility patterns through Aggregated Mobility Data. This type of data, which is derived from both operator and crowdsourced sources, presents opportunities and challenges for public health research. This data derived from both operator and crowdsourced sources, presents opportunities and challenges for public health research. We explore how this novel data source has been used in public health studies, its benefits, limitations, and ethical considerations.

Methods

We conducted a narrative review of Aggregated Mobility Data applications in public health research, critically examining its potential and challenges. A systematic search of Embase and Google Scholar identified 645 peer-reviewed primary research articles. We included English peer-reviewed and primary research published between 2010–2024 where aggregated mobility data was being used to evaluate a public health outcome. After applying inclusion criteria, 95 studies were included for narrative synthesis and descriptive quantitative analysis.

Results

We found the majority of studies to date using Aggregated Mobility Data were related to COVID-19. Reporting of ethical and privacy considerations varied widely, with some studies undergoing formal ethics review and others citing exemptions based on the use of anonymized or aggregate data. Key limitations of Aggregated Mobility Data included restricted access to data sources and challenges associated with small population sizes.

Conclusion

This review underscores the potential of Aggregated Mobility Data in public health research and highlights key considerations for researchers and policymakers. Future studies should address ethical standardization, data accessibility, and broader applications beyond infectious disease surveillance to fully leverage the utility of Aggregated Mobility Data in public health decision-making.

Public Interest Summary

With the rise of smartphones, researchers can now track population movement using Aggregated Mobility Data from mobile devices. This data has been widely used in public health, especially during COVID-19, to understand how people move and how that impacts disease spread. However, access to this data is often restricted, and ethical considerations like privacy protections vary across studies. Our review examined 95 studies to assess the applications in public health research. While this data offers valuable insights, future research should focus on standardizing ethical guidelines, improving data access, and expanding its use beyond infectious disease tracking to other public health challenges.
智能手机的广泛采用使得通过汇总移动数据收集和分析人口水平的移动模式成为可能。这类数据来自运营商和众包来源,为公共卫生研究带来了机遇和挑战。这些数据来自运营商和众包来源,为公共卫生研究带来了机遇和挑战。我们将探讨这种新的数据来源是如何在公共卫生研究中使用的,它的益处、局限性和伦理考虑。方法:我们对汇总移动数据在公共卫生研究中的应用进行了叙述性回顾,批判性地考察了其潜力和挑战。对Embase和b谷歌Scholar的系统搜索确定了645篇同行评议的初级研究文章。我们纳入了2010-2024年间发表的英语同行评议和初级研究,这些研究使用了汇总的流动性数据来评估公共卫生结果。应用纳入标准,纳入95项研究进行叙事综合和描述性定量分析。结果我们发现,迄今为止使用汇总流动性数据的大多数研究都与COVID-19有关。关于伦理和隐私考虑的报告差异很大,一些研究经过了正式的伦理审查,而另一些研究则基于使用匿名或汇总数据而获得豁免。汇总流动数据的主要限制包括对数据源的访问受限以及与人口规模小相关的挑战。结论:本综述强调了汇总流动数据在公共卫生研究中的潜力,并强调了研究人员和政策制定者需要考虑的关键因素。未来的研究应解决伦理标准化、数据可及性以及传染病监测以外的更广泛应用,以充分利用聚合流动性数据在公共卫生决策中的效用。随着智能手机的兴起,研究人员现在可以使用来自移动设备的汇总移动数据来跟踪人口流动。这些数据已被广泛用于公共卫生领域,特别是在COVID-19期间,以了解人们如何移动以及如何影响疾病传播。然而,对这些数据的访问往往受到限制,隐私保护等伦理考虑在不同的研究中有所不同。我们回顾了95项研究,以评估其在公共卫生研究中的应用。虽然这些数据提供了有价值的见解,但未来的研究应侧重于规范伦理准则,改善数据获取,并将其应用范围从传染病追踪扩展到其他公共卫生挑战。
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引用次数: 0
Developing economic evaluation guidelines for the Kingdom of Saudi Arabia: Engagement of local experts 为沙特阿拉伯王国制定经济评价准则:当地专家的参与
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2025-06-06 DOI: 10.1016/j.hlpt.2025.101042
Fatma Maraiki , Tusneem Elhassan , Shouki Bazarbashi , Paul Scuffham , Haitham Tuffaha

Objectives

Economic evaluation has increased due to the emergence of national health technology assessment (HTA) agencies. This study aims to develop a country-specific guideline for conducting economic evaluation in the Kingdom of Saudi Arabia (KSA) as an HTA component to determine the value for money of new health interventions.

Methods

The study conducted a real-time Delphi survey using 17 items from the method component of the Consolidated Health Economic Evaluation Reporting Standards checklist as foundation for guidelines. Consensus was reached for the relevance of guideline recommendations for the KSA healthcare system. We set a threshold of 80 % for agreement and an interquartile range less than three on a nine-point Likert scale. Interim analysis provided feedback for recommendations of items if no consensus exists. A natural language processing (NLP) approach was employed to examine the relationship between experts’ comments and consensus decisions.

Results

The study recruited 78 % experts with an average response progress rate of 97.2 %. Interim analysis provided a 63 % adjustment rate for recommendations with the majority requiring further clarification (65 %). The guidelines concluded with a consensus on 76 % of recommendations, while four remained undetermined, namely, choice of discount rate, use of same rates for health benefits and costs, outcome selection, and gross costing. The NLP results supported the consensus decision.

Conclusions

Expert consensus contributed to the development of informative guidelines relevant to KSA. The guidelines serve as a reference case, thus providing a foundation for HTA practices, reimbursement decisions, and future research for the KSA and its neighboring countries.
目的随着国家卫生技术评价机构的出现,经济评价有所增加。本研究旨在制定一项针对具体国家的指导方针,以便在沙特阿拉伯王国(KSA)开展经济评估,作为卫生评估的一个组成部分,以确定新的卫生干预措施的物有所值。方法采用《综合卫生经济评价报告标准》方法部分的17个项目进行实时德尔菲调查,作为指导方针的基础。达成共识的相关性指南建议的KSA医疗保健系统。我们设定了80%的一致性阈值,在9分李克特量表上,四分位数范围小于3。如果没有协商一致意见,临时分析提供了对项目建议的反馈。采用自然语言处理(NLP)方法来检验专家意见与共识决策之间的关系。结果共招募专家78%,平均应答率97.2%。中期分析显示,建议的调整率为63%,大多数建议需要进一步澄清(65%)。最后,指南对76%的建议达成了共识,而四项建议仍未确定,即选择贴现率、使用相同的健康福利和成本率、结果选择和总成本计算。NLP结果支持共识决定。结论专家共识有助于制定与KSA相关的信息指南。该指南可作为参考案例,从而为卫生保健协会的实践、报销决策和沙特阿拉伯及其邻国的未来研究提供基础。
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引用次数: 0
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Health Policy and Technology
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