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Introduction of novel complex integrated care models supported by digital health interventions in European primary settings: a scoping review 在欧洲基层医疗机构引入由数字医疗干预措施支持的新型复杂综合护理模式:范围界定综述
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-09-01 DOI: 10.1016/j.hlpt.2024.100896

Introduction

There remains the need to develop comprehensive organisational care models supported by digital health interventions (DHIs) to manage chronic conditions in primary healthcare.

Objective

this review aimed to identify and map methods, interventions and outcomes investigated regarding the introduction of novel complex integrated care models supported by DHIs in the European primary care setting, as well as the level of integration achieved.

Methods

a scoping review to identify literature from 2013 to 2023 in the European context was conducted across PubMed, Scopus and Web of Science. DHIs description, care models and outcomes were reported using the PRISMA- ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines.

Results

A total of 53 studies was included. The models introduced, along with a DHI, at least one innovation in their structure or in the modality of care delivery: either a new figure (44%), interprofessional collaboration (37%), new functions like person-centred care (59%) or population stratification (11%). As regarding the DHIs, 56% implemented monitoring/management platforms and apps for chronic conditions. The most frequent combination of care model-DHI was the introduction of an app/platform, supported by phone calls/texts and electronic health records, paired with the introduction of a new healthcare professional/person centred care/ multidisciplinary team. All the studies reaching statistically significant outcomes introduced, along with one or more DHIs, either a new figure or a multidisciplinary team as part of the organizational change to support the technology.

Conclusions

novel complex integrated care models are focusing on introducing multidisciplinary perspectives and personalization of care, in line with the complex needs of chronic patients. The predominant development of monitoring/management platforms for patients is a further confirmation of this trend. Future research efforts should focus on the investigation of the effectiveness of current complex integrated care models integrating DHIs.

引言目前仍然需要开发由数字健康干预措施(DHI)支持的综合组织护理模式,以管理初级医疗保健中的慢性疾病。方法在 PubMed、Scopus 和 Web of Science 上进行了范围界定审查,以确定 2013 年至 2023 年欧洲范围内的文献。采用 PRISMA- ScR(系统综述和荟萃分析的首选报告项目扩展至范围界定综述)指南对 DHIs 描述、护理模式和结果进行了报告。这些模式在其结构或提供护理的方式中至少引入了一项创新:新数字(44%)、专业间合作(37%)、以人为本的护理等新功能(59%)或人口分层(11%)。至于 DHIs,56% 的 DHIs 实施了慢性病监测/管理平台和应用程序。最常见的护理模式-DHI组合是在电话/短信和电子健康记录的支持下引入应用程序/平台,同时引入新的医疗保健专业人员/以人为本的护理/多学科团队。所有研究都取得了具有统计学意义的成果,在引入一个或多个 DHI 的同时,还引入了一个新的人物或一个多学科团队,作为支持技术的组织变革的一部分。为患者开发监控/管理平台是对这一趋势的进一步证实。未来的研究工作应侧重于调查目前整合了 DHIs 的复杂综合护理模式的有效性。
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引用次数: 0
Identifying the risk factors of patient safety in internet hospitals: A mixed methods study 识别互联网医院患者安全的风险因素:混合方法研究
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-09-01 DOI: 10.1016/j.hlpt.2024.100897

Objective

The purpose of this study was to identify key risk factors and their interrelationships for patient safety in internet hospitals from a system perspective, using mixed methods of qualitative and quantitative analysis.

Methods

This study constructed a comprehensive indicator system of patient safety risk factors in internet hospitals by qualitative analysis using the Patient Safety Systems (SEIPS) model as a framework. Risk factors were initially identified through a literature review and subsequently refined using a Delphi survey involving 24 experts related to internet hospitals in China. The identified indicators were quantitatively analyzed to determine key risk factors and their influencing mechanism using the Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods.

Results

The qualitative analysis established a patient safety risk factor indicator system for internet hospitals, comprising 23 elements across six dimensions. Quantitative analysis employing the DEMATEL-ISM approach revealed that risk management has the highest centrality. Among cause factors, task complexity exerts the most significant impact on other factors, while network information security exhibits the highest absolute value among result factors. Risk factors are categorized into three levels: surface, deep, and root factors, with task complexity, legal and regulatory, and guidance policy being the root factors at the foundation of the system.

Conclusions

Our study offered a systemic perspective on analyzing risk factors for patient safety in internet hospitals. Policymakers and managers of internet hospitals should take advantage of the interrelationships among these factors to mitigate patient safety risks by effectively controlling key factors.

Public Interest Summary

In the rapidly evolving landscape of internet hospitals, ensuring patient safety is paramount. This study aimed to comprehensively identify and understand key risk factors influencing patient safety within these digital healthcare platforms. Using mixed methods of qualitative and quantitative analysis, the study examined the intricate interplay of factors affecting patient safety. Our methodology involved constructing a risk factors indicator system based on the Patient Safety Systems (SEIPS) model. By employing the integrated Decision-Making Trial and Evaluation Laboratory along with the Interpretive Structural Modeling method, we unveiled the core risk factors and their intricate relationships. Recognizing the interconnectivity of these factors allows us to develop effective risk mitigation strategies that enhance patient safety in internet hospitals. This study encourages stakeholders to leverage the dynamic relationships among these factors to ensure safer online healthcare experiences for patients.

方法 本研究以患者安全系统(SEIPS)模型为框架,通过定性分析构建了互联网医院患者安全风险因素的综合指标体系。通过文献综述对风险因素进行初步识别,随后通过德尔菲调查对风险因素进行细化,共有 24 位中国互联网医院相关专家参与了调查。定性分析建立了互联网医院患者安全风险因素指标体系,包括六个维度的 23 个要素。采用 DEMATEL-ISM 方法进行的定量分析显示,风险管理具有最高的中心性。在原因因素中,任务复杂性对其他因素的影响最大,而在结果因素中,网络信息安全的绝对值最高。风险因素分为表层因素、深层因素和根本因素三个层次,其中任务复杂性、法律法规和指导政策是系统基础的根本因素。互联网医院的政策制定者和管理者应利用这些因素之间的相互关系,通过有效控制关键因素来降低患者安全风险。本研究旨在全面识别和了解这些数字医疗平台中影响患者安全的关键风险因素。本研究采用定性和定量分析相结合的方法,对影响患者安全的各种因素之间错综复杂的相互作用进行了研究。我们的方法包括根据患者安全系统(SEIPS)模型构建风险因素指标体系。通过综合决策试验和评估实验室以及解释性结构建模方法,我们揭示了核心风险因素及其错综复杂的关系。认识到这些因素之间的相互联系,我们就能制定有效的风险缓解策略,从而提高互联网医院的患者安全。本研究鼓励利益相关者利用这些因素之间的动态关系,确保患者获得更安全的在线医疗体验。
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引用次数: 0
A qualitative study on pharmacists’ perceptions about service innovation 药剂师对服务创新看法的定性研究
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-09-01 DOI: 10.1016/j.hlpt.2024.100898

Background

Expanded services provided at pharmacies show numerous improvements in health outcomes. However, attempts at implementing new services in pharmacies are met with several barriers, among which is the failure to update the pharmacist's role.

Objective

This study aimed to explore pharmacists’ perceptions about the role of pharmacies and the effects of, and barriers to, service expansion.

Methods

Four focus groups were conducted with pharmacists from across Portugal, and an inductive content analysis was applied to the transcribed sessions.

Results

The content analysis results were organized into three main categories: the Role of Pharmacy, Potentialities of Service Innovation, and Service Innovation. The results emphasize the importance of enhancing pharmacists’ training, establishing supportive legal frameworks, prioritizing funding for technological advancements, promoting interprofessional collaboration, and embracing innovative practices to advance healthcare innovation and improve patient outcomes.

Conclusions

The identification of several tasks indicates that, in pharmacists’ perspectives, the Role of Pharmacy ranges from dispensing medication to aiding/monitoring patients at various stages of their health conditions. Expanded services were associated with several emergent Potentialities of Service Innovation, namely, enhancement of health outcomes and help to main healthcare facilities dealing with an increased number of patients. For Service Innovation, several factors emerged that need consideration, such as the conditions and the difficulties found associated with new service implementation. These pertain to pharmacists, legislation, and resources.

Public Interest Summary

Background: Expanded services provided at pharmacies show numerous improvements in health outcomes. However, several barriers should be addressed. Objective: This study sought to explore pharmacists’ perceptions about the role of pharmacies and the effects of, and barriers to, service expansion. Methods: A content analysis was applied to four focus groups conducted with pharmacists from across Portugal. Results: The three main emerging categories were: The Role of Pharmacy, divided into assessment, referrals, therapy monitoring, educating/informing, prescribing, and registering; Potentialities of Service Innovation, divided into proximity, improvement, and competitiveness; Service Innovation, divided into conditions for implementation, implementation difficulties, activation of the new services, and adherence-promoting factors. Conclusion: The pharmacy role goes beyond dispensing medication. Tied to this expanded role, pharmacists identified several advantages that the services could provide and several barriers to Service Innovation. Factors that promote adherence need more extensive study.

背景药房提供的扩展服务对健康结果有诸多改善。本研究旨在探讨药剂师对药房角色、服务扩展的影响和障碍的看法。方法与来自葡萄牙各地的药剂师进行了四次焦点小组讨论,并对转录的讨论内容进行了归纳内容分析。结果强调了加强药剂师培训、建立支持性法律框架、优先为技术进步提供资金、促进专业间合作以及采用创新实践来推动医疗创新和改善患者预后的重要性。结论对几项任务的识别表明,从药剂师的角度来看,药房的作用包括配药到在患者健康状况的不同阶段为其提供帮助/监测。扩大服务范围与服务创新的几个新潜力有关,即提高医疗效果和帮助主要医疗机构处理更多的病人。在服务创新方面,出现了一些需要考虑的因素,如与实施新服务相关的条件和困难。这些因素涉及药剂师、立法和资源:药房提供的扩展服务在健康结果方面有诸多改善。然而,有几个障碍需要解决。研究目的本研究旨在探讨药剂师对药房作用的看法以及服务扩展的效果和障碍。研究方法:采用内容分析法对四次焦点对话进行了研究:对葡萄牙各地药剂师参加的四个焦点小组进行了内容分析。结果新出现的三个主要类别是药房的作用,分为评估、转诊、治疗监控、教育/告知、处方和登记;服务创新的潜力,分为接近性、改进性和竞争性;服务创新,分为实施条件、实施困难、新服务的激活和促进坚持的因素。结论药房的作用不仅仅是配药。与这一扩大的角色相关,药剂师发现了服务可提供的若干优势,以及服务创新的若干障碍。需要对促进坚持服药的因素进行更广泛的研究。
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引用次数: 0
Applying Experienced-Based Co-Design principles to improve digital health demand management processes in a large metropolitan multi-hospital health system 应用基于经验的协同设计原则,改进大都市多医院医疗系统的数字医疗需求管理流程
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-09-01 DOI: 10.1016/j.hlpt.2024.100905

Objective

This study describes the application of Experienced-Based Co-Design (EBCD) principles with an embedded implementation technology framework for improving digital health and informatics demand management processes in a multi-hospital healthcare system. The study identified barriers and enablers within the existing demand management system, proposed interventions to address these challenges and engaged in collaborative co-design with stakeholders.

Methods

A multi-method qualitative approach aligning with EBCD principles was used. Framework mapping (Non-adoption, Abandonment, Scale-up, Spread, Sustainability) was applied to barriers and enablers associated with baseline practices. Reflexive thematic mapping and process charts were used to inform stakeholder priorities and co-design. Prototyping was iterative using feedback for continuous improvement with ongoing monitoring.

Results

Fragmentation of information was a technological barrier, decentralized processes and service duplication were organizational barriers, and opportunities to improve clarity of governance policies were identified. Solutions were co-generated and prioritised by stakeholders. The co-design and prototyping phase followed an iterative approach which generated two interventions. For centralizing intake and management, a new workflow process was devised. For improving project portfolio visibility and developing a weighted scoring criterion, a single tool to track projects across the lifecycle and a scoring model based on prioritization techniques were created.

Conclusion

A novel application of an EBCD approach was used to improve demand management processes in a digital health and informatics service context in a large health system. It highlights the value and agility of EBCD to generate flexible and modular solutions for this digital health context and compares favorably to analogous approaches.

Public interest summary

In today's fast-paced digital age, it is vital for hospitals to manage health information innovation efficiently. This study used an Experienced-Based Co-Design design (EBCD) approach to improve how a multi-hospital health system handles and prioritizes digital health projects. We listened to stakeholders, identified challenges, including fragmented information and unclear processes, then co-created solutions. The EBCD produced an implementable streamlined method for managing digital health project requests, including prioritizing and tracking projects from start to finish. This outcome of the exemplar EBCD process is likely to ensure that the most critical health projects are prioritized. For the public, this means better, faster, and more efficient digital health services in the future.

本研究介绍了基于经验的协同设计(EBCD)原则与嵌入式实施技术框架在多医院医疗系统中的应用,以改善数字医疗和信息学需求管理流程。该研究确定了现有需求管理系统中的障碍和有利因素,提出了应对这些挑战的干预措施,并与利益相关者进行了合作性共同设计。对与基线实践相关的障碍和促进因素进行了框架映射(不采用、放弃、扩大规模、传播、可持续性)。利用反思性专题制图和流程图为利益相关者的优先事项和共同设计提供信息。结果信息分散是技术障碍,流程分散和服务重复是组织障碍,管理政策的清晰度有待提高。各利益相关方共同提出了解决方案并确定了优先次序。共同设计和原型设计阶段采用迭代方法,产生了两种干预措施。为了集中接收和管理,设计了一个新的工作流程。为了提高项目组合的可视性并制定加权评分标准,创建了一个在整个生命周期内跟踪项目的单一工具和一个基于优先级排序技术的评分模型。 结论 EBCD 方法的一种新颖应用被用于改进大型医疗系统中数字医疗和信息学服务背景下的需求管理流程。它强调了 EBCD 的价值和灵活性,可为数字医疗环境提供灵活的模块化解决方案,与同类方法相比更胜一筹。本研究采用基于经验的协同设计(EBCD)方法来改善一个多医院医疗系统如何处理数字医疗项目并确定其优先次序。我们听取了利益相关者的意见,确定了面临的挑战,包括信息分散和流程不清晰,然后共同制定了解决方案。EBCD 提出了一种可实施的简化方法,用于管理数字医疗项目申请,包括对项目进行优先排序和自始至终的跟踪。EBCD 示范流程的这一成果可能会确保最关键的医疗项目得到优先考虑。对公众而言,这意味着未来将有更好、更快、更高效的数字医疗服务。
{"title":"Applying Experienced-Based Co-Design principles to improve digital health demand management processes in a large metropolitan multi-hospital health system","authors":"","doi":"10.1016/j.hlpt.2024.100905","DOIUrl":"10.1016/j.hlpt.2024.100905","url":null,"abstract":"<div><h3>Objective</h3><p>This study describes the application of Experienced-Based Co-Design (EBCD) principles with an embedded implementation technology framework for improving digital health and informatics demand management processes in a multi-hospital healthcare system. The study identified barriers and enablers within the existing demand management system, proposed interventions to address these challenges and engaged in collaborative co-design with stakeholders.</p></div><div><h3>Methods</h3><p>A multi-method qualitative approach aligning with EBCD principles was used. Framework mapping (Non-adoption, Abandonment, Scale-up, Spread, Sustainability) was applied to barriers and enablers associated with baseline practices. Reflexive thematic mapping and process charts were used to inform stakeholder priorities and co-design. Prototyping was iterative using feedback for continuous improvement with ongoing monitoring.</p></div><div><h3>Results</h3><p>Fragmentation of information was a technological barrier, decentralized processes and service duplication were organizational barriers, and opportunities to improve clarity of governance policies were identified. Solutions were co-generated and prioritised by stakeholders. The co-design and prototyping phase followed an iterative approach which generated two interventions. For centralizing intake and management, a new workflow process was devised. For improving project portfolio visibility and developing a weighted scoring criterion, a single tool to track projects across the lifecycle and a scoring model based on prioritization techniques were created.</p></div><div><h3>Conclusion</h3><p>A novel application of an EBCD approach was used to improve demand management processes in a digital health and informatics service context in a large health system. It highlights the value and agility of EBCD to generate flexible and modular solutions for this digital health context and compares favorably to analogous approaches.</p></div><div><h3>Public interest summary</h3><p>In today's fast-paced digital age, it is vital for hospitals to manage health information innovation efficiently. This study used an Experienced-Based Co-Design design (EBCD) approach to improve how a multi-hospital health system handles and prioritizes digital health projects. We listened to stakeholders, identified challenges, including fragmented information and unclear processes, then co-created solutions. The EBCD produced an implementable streamlined method for managing digital health project requests, including prioritizing and tracking projects from start to finish. This outcome of the exemplar EBCD process is likely to ensure that the most critical health projects are prioritized. For the public, this means better, faster, and more efficient digital health services in the future.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164670","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
Trends in Medicare Charges, Reimbursements, and Utilization for Ophthalmic Versus Non-Ophthalmic Procedures 医疗保险眼科与非眼科手术的收费、报销和使用趋势
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-09-01 DOI: 10.1016/j.hlpt.2024.100903

Objective

To investigate trends in Medicare charges, reimbursements, and utilization for ophthalmic and non-ophthalmic procedures.

Methods

We examined all ophthalmic, non-ophthalmic, and the 15 most performed ophthalmic medical/surgical procedures in Medicare Provider Utilization and Payment Data from 2013 to 2019. Monetary values were adjusted for inflation based on the 2019 United States (US) dollar using the Bureau of Labor Statistics Consumer Price Index. We calculated annual procedural utilization by adjusting service counts per million Medicare beneficiaries and examined trends for ophthalmic and non-ophthalmic procedures from 2013-2019 using descriptive statistics.

Results

From 2013-2019, Medicare inflation-adjusted charges and reimbursements changed by -14% and -23%, respectively, for ophthalmic procedures compared to +14% and +5%, for non-ophthalmic procedures, and -24% and -31% for the 15 most common ophthalmic procedures. Utilization of ophthalmic, non-ophthalmic, and common ophthalmic procedures changed by +2%, -15%, and +17%, respectively.

Conclusions

Lower reimbursements likely compensate for higher utilization in ophthalmology, especially since the magnitude of change in charges and reimbursements was larger for the 15 most performed ophthalmic procedures. In future reimbursement deliberations, policymakers should consider the declining reimbursements for procedures in ophthalmology relative to other medical specialties.

Public Interest Summary

Medicare reimbursement rates for common ophthalmic procedures decreased by 31% from 2011-2020. These reductions may lead to lower hospital revenue and, subsequently, higher prices. This shifts the financial burden onto uninsured and underinsured patients and is a potential barrier to care. Additionally, as there are not enough ophthalmologists in the US to adequately meet demand, further reimbursement reductions may influence student interest and contribute to earlier retirements in the existing ophthalmic workforce. This study identifies a decline in charges and reimbursements as utilization concurrently increased for ophthalmic procedures. In contrast, there has been an increase in charges and reimbursements with a decrease in utilization for non-ophthalmic procedures. Policymakers should take these findings into consideration in future decisions on reimbursement changes for ophthalmology.

目标调查医疗保险对眼科和非眼科手术的收费、报销和使用趋势。方法我们研究了 2013 年至 2019 年医疗保险提供者使用和支付数据中的所有眼科、非眼科以及 15 种最常见的眼科内/外科手术。货币价值根据美国劳工统计局消费者物价指数,按 2019 年美元通胀率进行了调整。我们通过调整每百万医疗保险受益人的服务计数来计算年度手术利用率,并使用描述性统计分析了 2013-2019 年眼科和非眼科手术的趋势。结果从 2013 年到 2019 年,经通货膨胀调整后,眼科手术的收费和报销分别变化了 -14% 和 -23%,而非眼科手术分别变化了 +14% 和 +5%,15 种最常见的眼科手术分别变化了 -24% 和 -31%。眼科手术、非眼科手术和普通眼科手术的使用率分别变化了 +2%、-15% 和 +17%。结论较低的报销额度可能会补偿眼科较高的使用率,尤其是因为 15 种最常见眼科手术的收费和报销额度变化幅度较大。在未来的报销讨论中,政策制定者应考虑到眼科手术报销额度相对于其他医疗专科的下降。公益摘要2011-2020 年间,常见眼科手术的医保报销额度下降了 31%。这些下降可能会导致医院收入减少,进而导致价格上涨。这就将经济负担转嫁给了无保险和保险不足的患者,成为他们接受治疗的潜在障碍。此外,由于美国没有足够的眼科医生来充分满足需求,进一步降低报销额度可能会影响学生的学习兴趣,并导致现有眼科医生队伍提前退休。这项研究表明,在眼科手术使用率增加的同时,收费和报销额度也在下降。与此相反,非眼科手术的收费和报销却在增加,而使用率却在下降。政策制定者在今后决定改变眼科的报销额度时应考虑到这些研究结果。
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引用次数: 0
A nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar 全国医院数字化成熟度评估 - 德国数字雷达的结果
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-09-01 DOI: 10.1016/j.hlpt.2024.100904

Objectives

In 2019, the German government established the Hospital Future Fund, allocating 4.3 billion Euros, to support investments in the digital infrastructure of hospitals. The DigitalRadar consortium was commissioned by the German Ministry of Health in 2020 to develop a holistic digital maturity model and evaluate the current state of digitalization and the impact of the funding program. To date, the nationwide digitalization of German hospitals has remained a relatively understudied phenomenon. This study aims to address this gap in knowledge by examining the influence of various factors identified by the DigitalRadar maturity model on the digital maturity of hospitals in Germany. In doing so, it seeks to elucidate the implications these findings have for the development of a digital, patient-centred, safe, and high-quality hospital landscape in the country.

Methods

The model was developed through a scoping review of digital maturity models, requirements set forth in the Hospital Future Act, analysis of components from existing models and feedback from a sounding board. Ultimately, the model includes 234 questions (items) categorized into 7 dimensions of digitalization. It was piloted in 12 hospitals and revised accordingly. 1,624 hospitals (91% of all German hospitals) participated in this self-assessment, as participation was mandatory to receive funding.

Results

The average DigitalRadar score on a 100-point scale is 33. Maturity is comparatively high in the structures and systems dimension, but low in the clinical processes, exchange of information, telemedicine and patient participation dimensions, suggesting that data exchange is hampered by a lack of interoperability. Drivers of digital maturity are teaching status, size, connectivity, and level of emergency services.

Conclusions

The transparency gained allows hospitals and regulators to identify areas for improvement and develop digital strategies. Additionally, it enables researchers to analyse, for example, the correlation between digitalization and the quality of care, as well as the mechanisms of action of large-scale funding programs for hospital digitization.

目标2019年,德国政府设立了医院未来基金,拨款43亿欧元,用于支持对医院数字化基础设施的投资。2020 年,德国卫生部委托 DigitalRadar 财团开发一个全面的数字化成熟度模型,并对数字化现状和该基金项目的影响进行评估。迄今为止,德国全国范围内的医院数字化仍是一个研究相对不足的现象。本研究旨在通过考察 DigitalRadar 成熟度模型所确定的各种因素对德国医院数字化成熟度的影响,弥补这一知识空白。方法该模型是通过对数字化成熟度模型、《医院未来法案》中提出的要求、对现有模型组成部分的分析以及咨询委员会的反馈意见进行范围审查后开发出来的。最终,该模型包括 234 个问题(项目),分为数字化的 7 个方面。该模型在 12 家医院进行了试点,并进行了相应的修订。1624家医院(占德国医院总数的91%)参与了此次自我评估,因为参与评估是获得资助的必要条件。在结构和系统方面的成熟度相对较高,但在临床流程、信息交换、远程医疗和患者参与方面的成熟度较低,这表明数据交换因缺乏互操作性而受到阻碍。数字化成熟度的驱动因素包括教学状况、规模、连通性和急救服务水平。此外,它还能让研究人员分析数字化与医疗质量之间的相关性,以及医院数字化大型资助项目的作用机制等。
{"title":"A nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar","authors":"","doi":"10.1016/j.hlpt.2024.100904","DOIUrl":"10.1016/j.hlpt.2024.100904","url":null,"abstract":"<div><h3>Objectives</h3><p>In 2019, the German government established the Hospital Future Fund, allocating 4.3 billion Euros, to support investments in the digital infrastructure of hospitals. The DigitalRadar consortium was commissioned by the German Ministry of Health in 2020 to develop a holistic digital maturity model and evaluate the current state of digitalization and the impact of the funding program. To date, the nationwide digitalization of German hospitals has remained a relatively understudied phenomenon. This study aims to address this gap in knowledge by examining the influence of various factors identified by the DigitalRadar maturity model on the digital maturity of hospitals in Germany. In doing so, it seeks to elucidate the implications these findings have for the development of a digital, patient-centred, safe, and high-quality hospital landscape in the country.</p></div><div><h3>Methods</h3><p>The model was developed through a scoping review of digital maturity models, requirements set forth in the Hospital Future Act, analysis of components from existing models and feedback from a sounding board. Ultimately, the model includes 234 questions (items) categorized into 7 dimensions of digitalization. It was piloted in 12 hospitals and revised accordingly. 1,624 hospitals (91% of all German hospitals) participated in this self-assessment, as participation was mandatory to receive funding.</p></div><div><h3>Results</h3><p>The average DigitalRadar score on a 100-point scale is 33. Maturity is comparatively high in the structures and systems dimension, but low in the clinical processes, exchange of information, telemedicine and patient participation dimensions, suggesting that data exchange is hampered by a lack of interoperability. Drivers of digital maturity are teaching status, size, connectivity, and level of emergency services.</p></div><div><h3>Conclusions</h3><p>The transparency gained allows hospitals and regulators to identify areas for improvement and develop digital strategies. Additionally, it enables researchers to analyse, for example, the correlation between digitalization and the quality of care, as well as the mechanisms of action of large-scale funding programs for hospital digitization.</p></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2211883724000674/pdfft?md5=8f3107bdd67f501a9aac8e885cff1222&pid=1-s2.0-S2211883724000674-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Radiology outpatients’ awareness of their out-of-pocket estimates and hospital price estimator tools in the United States 美国放射科门诊患者对自费估算和医院价格估算工具的认识
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-08-19 DOI: 10.1016/j.hlpt.2024.100902

Objective

Price transparency mandates by the Centers for Medicare and Medicaid Services (CMS) were implemented in 2021 for hospitals and 2023 for health plans. We assessed U.S. patients’ awareness of their estimated out-of-pocket cost (OOPC) and hospital price-estimator tool among outpatients undergoing advanced imaging.

Methods

English-, Spanish-, and Vietnamese-speaking adults receiving a CT, PET/CT, or MRI at a tertiary academic center between 11/2022 and 03/2023 completed a 15-minute survey. We assessed awareness of OOPC estimates prior to imaging and the hospital price-estimator tool, and factors associated with such awareness using multivariable regression analysis.

Results

423 patients were included (mean age: 57.1 ± 15.6; 57.4 % female; 55 % White; 21.8 % Hispanic; 18.9 % Asian). Only 10.7 % and 16.8 % were aware of their OOPC before receipt of imaging and center'shospital price-estimator tool, respectively. No patient used the hospital price estimator tool to obtain their OOPC estimate. Annual household income of $50,000 or more (OR: 30.25, 95 % CI: 1.78, 513.79), and having at least one comorbidity (OR: 4.59, 95 % CI: 1.42, 14.79) were associated with a higher probability of knowing OOPC prior to imaging. Patients who experienced financial hardship were less likely to be aware of their OOPC (OR: 0.29, CI: 0.10, 0.86). No significant factors were associated with awareness of hospital price estimator tool in full regression model.

Conclusion

Our study highlights limited OOPC and price estimator tool awareness, two years post-CMS mandate, with specific demographics more likely to know their OOPC. Our findings emphasize the urgency for targeted interventions to increase price awareness and enhance healthcare decision-making.

目的 美国医疗保险和医疗补助服务中心(CMS)规定医院和医疗保险计划分别于 2021 年和 2023 年实行价格透明化。我们评估了接受高级成像检查的门诊患者中,美国患者对其预估自付费用(OOPC)和医院价格估算工具的认知情况。方法2022 年 11 月至 2023 年 3 月期间,在三级学术中心接受 CT、PET/CT 或 MRI 检查的讲英语、西班牙语和越南语的成年人完成了一项 15 分钟的调查。我们使用多变量回归分析评估了成像前对 OOPC 估算值和医院价格估算工具的了解程度,以及与了解程度相关的因素。结果共纳入 423 名患者(平均年龄:57.1 ± 15.6;女性占 57.4%;白人占 55%;西班牙裔占 21.8%;亚裔占 18.9%)。分别只有 10.7% 和 16.8% 的患者在接受造影检查和中心的医院价格估算工具之前知道自己的 OOPC。没有患者使用医院价格估算工具来估算其 OOPC。家庭年收入在 50,000 美元或以上(OR:30.25,95 % CI:1.78, 513.79)和至少患有一种并发症(OR:4.59,95 % CI:1.42, 14.79)的患者在接受造影检查前知道 OOPC 的可能性较高。经济困难的患者不太可能知道自己的 OOPC(OR:0.29,CI:0.10,0.86)。在完全回归模型中,没有明显的因素与医院价格估算工具的知晓率相关。结论:我们的研究表明,在 CMS 规定实施两年后,患者对 OOPC 和价格估算工具的知晓率有限,特定人群更有可能知晓自己的 OOPC。我们的研究结果表明,迫切需要采取有针对性的干预措施来提高人们对价格的认识并改善医疗决策。
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引用次数: 0
Digital national waiting time information system - View of Finnish public oral healthcare managers 数字化国家等候时间信息系统--芬兰公共口腔医疗管理人员的观点
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-08-16 DOI: 10.1016/j.hlpt.2024.100900

Objectives

The study evaluated the digital national waiting time information system from the point of view of oral healthcare managers in Finland in 2021. The information system (IS) was implemented in 2014, primarily to monitor waiting times in public healthcare. The system reported the information on realised waiting times on the Internet.

Methods

We gathered the data using a cross-sectional survey. Evaluating the system was based on a modified IS success model with the dimensions of information quality, system quality, individual impact and organisational impact. We used convenience sampling when including in the study managers working in public primary oral healthcare in the spring of 2021.

Results

The managers (n = 97) perceived it as easy to access the waiting time information on one website, but they evaluated the information as low quality. The information on realised waiting times supported them in the management of current waiting times to a minor degree. The managers associated the information inaccuracy in the national system with dental nurses’ poor data entry in electronic patient ISs in oral healthcare organisations. The inaccuracy meant that waiting time monitoring data was not valid.

Conclusions

Our modified IS success model was sufficient to ascertain that poor information quality likely influenced the effectiveness of managers in information-driven waiting time management. Information must be relevant and accurate to promote the success of ISs. Further research is required to explore how to improve the design of national ISs from the point of view of different stakeholders in healthcare.

目标本研究从 2021 年芬兰口腔医疗管理人员的角度对数字化国家等候时间信息系统进行了评估。该信息系统(IS)于 2014 年投入使用,主要用于监控公共医疗机构的候诊时间。方法我们通过横断面调查收集数据。对系统的评估基于改进的信息系统成功模型,该模型包括信息质量、系统质量、个人影响和组织影响。我们采用方便抽样法,将 2021 年春季在公立初级口腔医疗机构工作的管理人员纳入研究范围。结果管理人员(n = 97)认为在一个网站上获取等待时间信息很容易,但他们对信息质量的评价较低。关于实际等候时间的信息在一定程度上帮助他们管理当前的等候时间。管理人员认为,国家系统中的信息不准确与口腔医疗机构中牙科护士在患者电子信息系统中的数据输入不准确有关。结论我们修改后的信息系统成功模型足以确定,信息质量差可能会影响管理人员在信息驱动的候诊时间管理中的有效性。信息必须具有相关性和准确性,才能促进信息系统的成功。还需要进一步研究,从医疗保健领域不同利益相关者的角度探讨如何改进国家信息系统的设计。
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引用次数: 0
Adoption of contact tracing app during pandemic: Users’ resistance behavior 在大流行病期间采用联系人追踪应用程序:用户的抵制行为
IF 6 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-08-15 DOI: 10.1016/j.hlpt.2024.100901
Yogesh Bhatt, Karminder Ghuman, Safiya Mukhtar Alshibani, Usama Awan
The study investigates the key issues influencing different barriers resulting in user resistance toward adopting contact tracing smartphone apps launched to track COVID-19 infections. Indian users’ experiences regarding the Aarogya Setu app for preventing the spread of COVID-19 were examined in two phases. In Phase I, online users’ comments available at the Google Play Store were qualitatively analyzed using open and axial coding. These codes were then used to create an implication matrix and hierarchical value maps to illustrate and interpret the relationships between issues, barriers, and user behavior. In Phase II, a supplementary empirical study, data was collected from users and non-users of the app through semi-structured telephone interviews and then qualitatively analyzed. By drawing on innovation resistance theory, the current study mapped a set of adoption barriers with three types of user resistance, i.e., postponement, opposition, and rejection. Rejection emerged as the most prominent consumer resistance behavior; usage barriers, functional risk, and value barriers related to the app's usage were the key drivers of this behavior. Postponement was the second most observed consumer resistance behavior. If usage barriers, functional risk, and value barriers of the app resulted in functional barriers toward adoption of the app, then image barrier was the key reason behind the psychological barrier. Administrators and developers of future interventions need to be conscious of usage barriers, functional risks, and value barriers related to the app's usage through stakeholder engagement to secure broader and faster adoption of such apps to improve health information systems.
本研究调查了影响用户采用为追踪 COVID-19 感染而推出的接触追踪智能手机应用程序的不同障碍的关键问题。研究分两个阶段考察了印度用户对用于预防 COVID-19 传播的 Aarogya Setu 应用程序的体验。在第一阶段,我们使用开放式和轴向编码对 Google Play 商店中的在线用户评论进行了定性分析。然后,利用这些编码创建了影响矩阵和分层价值图,以说明和解释问题、障碍和用户行为之间的关系。第二阶段是补充性实证研究,通过半结构化电话访谈从应用程序的用户和非用户那里收集数据,然后进行定性分析。通过借鉴创新阻力理论,本研究将一系列采用障碍与三种类型的用户阻力(即推迟、反对和拒绝)进行了映射。拒绝是最突出的消费者抵制行为;与应用程序使用相关的使用障碍、功能风险和价值障碍是这一行为的主要驱动因素。推迟是第二大消费者抵制行为。如果说应用程序的使用障碍、功能风险和价值障碍导致了采用应用程序的功能障碍,那么形象障碍则是心理障碍背后的关键原因。未来干预措施的管理者和开发者需要通过利益相关者的参与,意识到与应用程序使用相关的使用障碍、功能风险和价值障碍,以确保更广泛、更快速地采用此类应用程序来改善医疗信息系统。
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引用次数: 0
A decade of HTA in Indonesia: Methodological challenges in conducting economic evaluation 印度尼西亚 HTA 十年:开展经济评估的方法挑战
IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Pub Date : 2024-08-15 DOI: 10.1016/j.hlpt.2024.100894
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引用次数: 0
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Health Policy and Technology
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