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Reply to: comment on increased reliance on physician assistants: an access-quality tradeoff? 回复:关于越来越依赖医师助理的评论:一种获取质量的权衡?
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2232192
Bhavneet Walia, Harshdeep Banga, David Larsen
We thank Cawley, Hooker, and Nicholson [1] for engagement with our work [Walia et al. [2]], and herein provide a response. Their comment continues discussion of a vitally important topic in health care: the optimal role and scope of Medical Doctors (MDs) and Physician Assistants (PAs) in healthcare systems. This continued, fact-based discussion has potential to improve healthcare quality for patients at each level of healthcare. Cawley, Hooker, and Nicholson [1] find fault with our understanding of Brock et al. [3], which we cite in our original study. In characterizing Brock et al.’s work, we accepted the abstract, which states, ‘Diagnosis-related malpractice allegations varied by provider type, with physicians having significantly fewer reports (31.9%) than PAs (52.8%) or NPs (40.6%) over the observation period.’ After publication of our article, we were made aware by Cawley, Hooker, and Nicholson that, contrary to this abstract summary, we needed to calculate for ourselves the relative frequency of diagnosis-related malpractice allegations from data presented in Table 4 of Brock et al. It appears that a main implication in the body of Brock et al. opposes the wording of the abstract in finding that malpractice allegations were lower among PAs than physicians. We encourage authors to seek a revision of Brock et al. to clarify their findings. So what does this mean for our findings? The results from Brock et al. are discordant with the results from Yawn and Wollan [4], which we have also cited in favor of our suggestion that increasing PAs will lead to an access-quality tradeoff. Another study by Lozada et al. [5] finds that the average sampled Nurse Practitioner or Physician Assistant overprescribes opioids at more than twice the rate of the average sampled MD, where prescription is, of course, a primary treatment dimension of care that follows diagnosis. When contextualizing the original results of Brock et al. and the comments of Cawley, Hooker, and Nicholson, it is further important to note that some US states (e.g., Arizona) treat surpervising physicians as liable for PA malpractice. The US National Practitioner Data Bank data upon which Brock et al. rely reports medical malpractice payer incidence data and is therefore subject to bias (e.g., whenever a PA commits malpractice but the supervising physician is liable). This potentially substantial source of bias was not noted nor considered in the research design of Brock et al. and, further, was not noted by Cawley, Hooker, and Nicholson. A more appropriate research design for Brock et al. would have been to separate states according to whether supervising physicians are liable (payers) for PA medical malpractice prior to analysis. Further research on malpractice allegations is apparently needed, however. We encourage interested parties, including PA advocacy groups, to fund objective scientists to conduct such research. We wish to emphasize that the presence of a tradeoff between PAs and MD
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引用次数: 0
Projecting direct medical costs and productivity benefits of improving access to advanced therapy for rheumatoid arthritis: a projection modelling study. 预测改善获得类风湿性关节炎先进疗法的直接医疗费用和生产力效益:一项预测模型研究。
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2173117
Chee Yoong Foo, Nurul Azwani Nadia Mansor, Shereen Suyin Ch'ng, Mollyza Mohd Zain

Introduction: To ensure the sustainability of the AT access improvement, it is important that health system stakeholders have timely, analyzed information accessible for reference and decision-making support. In this study, we projected the direct costs required as well as the expected direct medical cost-offset and productivity benefits resulting from improving the disease control.

Methods: We implemented a deterministic, prevalence-based mathematical model to project the annual cost of rheumatoid arthritis (RA) management within the public healthcare system in Malaysia. We also calculated the annual productivity loss due to uncontrolled RA in monetary value. Using the projection model, we compared the projected costs of the status quo scenario vs. several scenarios of improved advanced therapy (AT) access over a 5-year period.

Results: We projected that between 10,765 and 11,024 RA patients in Malaysia over the period of 2020-2024 will need access to AT due to treatment failure with conventional synthetic disease modifying antirheumatic drugs (DMARDs). The projected net total medical cost under the status quo scenario were 163.5 million annually on average (approximately MYR 15,000 per patient per year). Cost related to health service utilization represented the heaviest component, amounting to 71.8% followed by drug cost (24.7%). Under the access improvement scenarios, drug cost constituted a higher proportion of the total medical, ranging from 25.6% to 30.4%. In contrast, the cost of health service utilization shown a reverse pattern (reducing to between 66.3% and 70.1%). Productivity costs were also expected to reduce as AT access improved leading to better outcomes. Treatment shifts to targeted synthetic DMARDs in anticipation of price adjustment appeared to have a cost saving advantage to the health system if all other parameters remain unchanged.

Discussion: Improving AT access for RA patients towards the aspirational target appeared to be feasible given the current health budget in Malaysia. Broader socio-economic consequences of productivity and income loss should be included as an important part of the policy consideration. The financial implication of different AT utilization mixes and the anticipated price adjustment will likely result in some cost saving to the health system.

导言:为确保可持续性地改善辅助医疗服务的可及性,重要的是卫生系统利益攸关方应及时获得经分析的信息,以供参考和决策支持。在本研究中,我们预测了所需的直接成本,以及预期的直接医疗成本抵消和改善疾病控制所带来的生产力效益。方法:我们实施了一个确定性的,基于患病率的数学模型来预测马来西亚公共医疗保健系统内类风湿性关节炎(RA)管理的年度成本。我们还计算了由于不受控制的RA造成的年度生产力损失。使用预测模型,我们比较了现状方案与改进的先进疗法(AT)获得的几种方案在5年期间的预计成本。结果:我们预计,在2020-2024年期间,马来西亚有10765至11024名RA患者由于常规合成疾病调节抗风湿药物(DMARDs)治疗失败,将需要获得AT。在目前情况下,预计每年的净医疗费用总额平均为1.635亿马币(每位患者每年约15,000马币)。与卫生服务利用有关的费用占最大比重,达71.8%,其次是药品费用(24.7%)。在可及性改善情景下,药品费用占总医疗费用的比例较高,介于25.6%至30.4%之间。相比之下,保健服务的使用成本呈现相反的模式(降至66.3%至70.1%之间)。随着AT的使用改善,生产成本也有望降低,从而带来更好的结果。如果所有其他参数保持不变,治疗转向预期价格调整的靶向合成dmard似乎对卫生系统具有节省成本的优势。讨论:考虑到马来西亚目前的卫生预算,改善类风湿性关节炎患者获得辅助治疗的机会以实现理想目标似乎是可行的。生产力和收入损失的更广泛的社会经济后果应作为政策考虑的一个重要部分加以考虑。不同的辅助药物利用组合和预期的价格调整所涉的财务问题可能会使卫生系统节省一些费用。
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引用次数: 0
Artificial intelligence and remote patient monitoring in US healthcare market: a literature review. 美国医疗保健市场中的人工智能和远程患者监护:文献综述。
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2205618
Ayushmaan Dubey, Anuj Tiwari

Background: Artificial intelligence (AI) enables remote patient monitoring (RPM) which reduces costs by triaging patients to optimize hospitalization and avoid complications. The FDA regulates AI in medical devices and aims to ensure patient safety, effectiveness, and transparent AI solutions.

Objectives: Identify and summarize FDA approved RPM devices to provide information for the US medical device industry based on previous approvals and the markets' needs.

Methods: We searched publicly available databases on FDA-approved RPM devices. Selection criteria were established to classify a solution as AI. Technical information was analyzed on pre-identified 16 parameters for the qualified solutions.

Results: A total of 47 RPM devices were reviewed, among which 12.8% were classified as a De Novo product and the remaining devices fell under the 510(K) FDA category. The cardiovascular (74%) AI RPM solutions dominated the US market, followed by ECG-based arrhythmia detection algorithms (59.4%), and Hemodynamics and Vital Sign monitoring algorithms (21.9%). The trend observed in the FDA rejected devices was their inability to be classified into clinically relevant categories (Criteria 2 and 3).

Conclusion: The market needs more innovative RPM solutions under the De Novo category, as there are very few. The transparency is low on the technical aspect of AI algorithms. The market needs AI algorithms that can effectively classify patients rather than merely improve device functionality.

背景:人工智能(AI)使远程患者监测(RPM)成为可能,通过对患者进行分类,优化住院治疗并避免并发症,从而降低成本。FDA监管医疗设备中的人工智能,旨在确保患者的安全、有效性和透明的人工智能解决方案。目标:识别和总结FDA批准的RPM器械,根据之前的批准和市场需求为美国医疗器械行业提供信息。方法:我们检索了fda批准的RPM器械的公开数据库。建立了将解决方案分类为AI的选择标准。对预先确定的16个参数进行了技术信息分析。结果:共审查了47个RPM设备,其中12.8%被归类为De Novo产品,其余设备属于510(K) FDA类别。心血管(74%)AI RPM解决方案在美国市场占据主导地位,其次是基于心电图的心律失常检测算法(59.4%),以及血流动力学和生命体征监测算法(21.9%)。在FDA拒绝的器械中观察到的趋势是它们无法被分类到临床相关类别(标准2和3)。结论:市场需要在De Novo类别下更多创新的RPM解决方案,因为很少。人工智能算法在技术方面的透明度很低。市场需要的是能够有效分类患者的人工智能算法,而不仅仅是提高设备的功能。
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引用次数: 2
Budget impact analysis of anakinra in the treatment of familial Mediterranean fever in Italy. 阿那白拉治疗意大利家族性地中海热的预算影响分析。
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2176091
A Aiello, E E Mariano, M Prada, L Cioni, C Teruzzi, R Manna

Introduction: Familial Mediterranean Fever (FMF) is a hereditary autoinflammatory disease that significantly reduces occupational productivity and quality-of-life in affected patients. Italy has an estimated FMF prevalence of 1 in 60,000 people. While colchicine is the primary treatment for FMF, biologics are administered to intolerant and non-responder patients. Anakinra and canakinumab are the only biologics approved and reimbursed for FMF in Italy. Both medicines have demonstrated efficacy in FMF patients yet differ in treatment costs. This study aimed to perform a budget impact analysis (BIA) following anakinra's reimbursement for FMF treatment, considering pharmaceutical costs from the Italian National Healthcare Service (NHS) perspective.

Methods: A 'Reference scenario' (all patients treated with canakinumab) was compared to an 'Alternative scenario', with increased anakinra market shares. The target population was estimated based on the Italian population, epidemiological and market research data. Drugs costs were estimated based on Summary of Product Characteristics and net ex-factory prices. Sensitivity analyses were implemented to test results' robustness.

Results: The base case analysis showed an overall cumulative expenditure of €30,586,628 for 'Reference scenario' and € 16,465,548 for 'Alternative scenario'. A cumulative savings of €14,121,080 (46.2%) was calculated over 3 years as a result of the reimbursement and increasing uptake of anakinra. The sensitivity analyses, even considering a discount of 50% for canakinumab, confirmed the base case results.

Conclusions: Anakinra's introduction, in FMF treatment, provides a financially sustainable option for Italian patients, with savings increasing according to greater use of anakinra.

家族性地中海热(FMF)是一种遗传性自身炎症性疾病,可显著降低患者的职业生产力和生活质量。据估计,意大利的FMF患病率为六万分之一。虽然秋水仙碱是FMF的主要治疗方法,但生物制剂也用于不耐受和无反应的患者。Anakinra和canakinumab是意大利唯一批准并报销FMF的生物制剂。这两种药物已证明对FMF患者有效,但治疗费用不同。本研究旨在从意大利国家医疗保健服务(NHS)的角度考虑药品成本,对anakinra的FMF治疗报销进行预算影响分析(BIA)。方法:将“参考方案”(所有接受canakinumab治疗的患者)与“替代方案”(增加了anakinra的市场份额)进行比较。目标人群是根据意大利人口、流行病学和市场研究数据估计的。药品成本是根据产品特性摘要和净出厂价格估算的。对检验结果的稳健性进行敏感性分析。结果:基本案例分析显示,“参考方案”的总累计支出为30,586,628欧元,“替代方案”的总累计支出为16,465,548欧元。在3年的时间里,由于报销和阿那那的增加,累计节省了14,121,080欧元(46.2%)。即使考虑到canakinumab 50%的折扣,敏感性分析也证实了基本情况的结果。结论:在FMF治疗中引入Anakinra,为意大利患者提供了经济上可持续的选择,随着更多使用Anakinra,储蓄增加。
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引用次数: 1
Quantitative revenue estimates and qualitative assessments of innovative fundraising sources for treating rare diseases in Colombia. 对哥伦比亚治疗罕见疾病的创新筹资来源进行定量收入估计和定性评估。
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2211868
Surrey M Walton, Wilson Mayorga, Angela Rodríguez Narváez, Maria Alejandra Chavez, Natalia Cortés Guesguán, Luis Durango, Ludy Alexandra Parada

Background: Like many developing countries, Colombia faces difficulties in financing health-care services as well as programs for health promotion and health education and there is evidence that its health-care system is underperforming. Objective: To provide evidence-based estimates of potential funding levels and assess the strengths, weaknesses, and viability of innovative funding mechanisms with a focus on treating rare diseases in Colombia. Methods: The strategy involved evidence-based projections of potential funding levels and a qualitative viability assessment using an expert panel. Results: Crowdfunding, corporate donation, and social impact bonds (SIBs) were deemed to be the most viable of numerous potential strategies. Expected funding levels over 10 years for rare diseases in Colombia from crowdfunding, corporate donations, and SIBs were roughly $7,200, $23,000, and $12,400, respectively. Conclusions: Based on the combination of projected funding potential along with expert consensus regarding viability and operability, crowdfunding, corporate donations, and SIBs, especially in combination, have the potential to substantially improve funding for vulnerable patient populations in Colombia.

背景:与许多发展中国家一样,哥伦比亚在资助卫生保健服务以及健康促进和健康教育项目方面面临困难,有证据表明其卫生保健系统表现不佳。目标:对哥伦比亚的潜在供资水平提供基于证据的估计,并评估以治疗罕见疾病为重点的创新供资机制的优势、劣势和可行性。方法:该策略包括以证据为基础的潜在资助水平预测和使用专家小组进行定性可行性评估。结果:众筹、企业捐赠和社会影响债券(sib)被认为是众多潜在策略中最可行的。预计未来10年,哥伦比亚从众筹、企业捐赠和sib获得的罕见病资金水平分别约为7 200美元、23 000美元和12 400美元。结论:基于预测的资金潜力以及专家对可行性和可操作性的共识,众筹、企业捐赠和sib,特别是结合起来,有可能大幅改善哥伦比亚弱势患者群体的资金。
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引用次数: 0
Health-related quality of life in health states corresponding to different stages of perianal fistula associated with Crohn's disease: a quantitative evaluation of patients and non-patients in Japan. 与克罗恩病相关的肛周瘘不同阶段对应的健康状态中与健康相关的生活质量:日本患者和非患者的定量评估
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2166374
Masafumi Kato, Mariko Yoneyama-Hirozane, Katsuhiko Iwasaki, Mao Matsubayashi, Ataru Igarashi

Background: Perianal fistula (PF), a complication of Crohn's disease (CD), affects health-related quality of life (QOL).

Objective: To elucidate QOL of health states corresponding to different stages of PF associated with CD in Japan.

Method: This cross-sectional, observational, web-based questionnaire survey assessed eight different health states in patients with CD and PF and individuals without CD (non-patients) from the Medilead Healthcare Panel (MHP) and determined the utility values (QOL scores) in each health state by the time trade-off method. In patients, we determined also the utility value of the current health state associated with CD and the PF. The analysis excluded respondents with logical inconsistencies.

Results: The analysis included 82 patients and 576 non-patients with the same sex and age distribution as the Japanese population. In both groups, mean utility values were higher in remission (patients, 0.78; non-patients, 0.51) than in non-remission states, with lowest values for poor prognosis after proctectomy (patients, 0.13; non-patients, -0.10) and highest values for the state with mild symptoms (patients, 0.60; non-patients, 0.30). In patients, the mean utility value of the current health state was 0.71.

Conclusion: QOL decreases with increasing severity of PF and is lower for good prognosis after proctostomy than for remission.

背景:肛周瘘(PF)是克罗恩病(CD)的一种并发症,影响健康相关生活质量(QOL)。目的:了解日本不同阶段PF合并CD患者的生活质量。方法:这项横断面、观察性、基于网络的问卷调查评估了来自Medilead医疗保健小组(MHP)的CD和PF患者和非CD患者(非患者)的八种不同健康状态,并通过时间权衡法确定每种健康状态下的效用值(生活质量评分)。在患者中,我们还确定了与CD和PF相关的当前健康状态的效用值。分析排除了逻辑不一致的应答者。结果:分析包括82例患者和576例与日本人口性别和年龄分布相同的非患者。两组患者缓解期的平均效用值均较高(患者0.78;非患者,0.51)比非缓解状态的患者要多,且在直肠切除术后预后差的情况下,患者的预后值最低(患者,0.13;非患者,-0.10),症状轻微的状态值最高(患者,0.60;个非,0.30)。在患者中,当前健康状态的平均效用值为0.71。结论:生活质量随PF严重程度的增加而降低,预后良好的患者生活质量低于缓解的患者。
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引用次数: 1
Systematic literature reviews over the years. 多年来的系统文献综述。
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2244305
Beata Smela, Mondher Toumi, Karolina Świerk, Konrad Gawlik, Emilie Clay, Laurent Boyer

Purpose: Nowadays, systematic literature reviews (SLRs) and meta-analyses are often placed at the top of the study hierarchy of evidence. The main objective of this paper is to evaluate the trends in SLRs of randomized controlled trials (RCTs) throughout the years. Methods: Medline database was searched, using a highly focused search strategy. Each paper was coded according to a specific ICD-10 code; the number of RCTs included in each evaluated SLR was also retrieved. All SLRs analyzing RCTs were included. Protocols, commentaries, or errata were excluded. No restrictions were applied. Results: A total of 7,465 titles and abstracts were analyzed, from which 6,892 were included for further analyses. There was a gradual increase in the number of annual published SLRs, with a significant increase in published articles during the last several years. Overall, the most frequently analyzed areas were diseases of the circulatory system (n = 750) and endocrine, nutritional, and metabolic diseases (n = 734). The majority of SLRs included between 11 and 50 RCTs each. Conclusions: The recognition of SLRs' usefulness is growing at an increasing speed, which is reflected by the growing number of published studies. The most frequently evaluated diseases are in alignment with leading causes of death and disability worldwide.

目的:目前,系统文献综述(slr)和荟萃分析通常被置于研究证据层次的顶端。本文的主要目的是评估近年来随机对照试验(RCTs)单反的趋势。方法:采用高度集中的检索策略对Medline数据库进行检索。每篇论文按照特定的ICD-10编码进行编码;还检索了每个评估的SLR中纳入的rct数量。纳入所有单反分析rct。协议、评论或勘误表被排除在外。没有施加任何限制。结果:共分析题目及摘要7465篇,其中6892篇纳入进一步分析。每年发表的单反数量逐渐增加,在过去几年中发表的文章显著增加。总体而言,最常分析的领域是循环系统疾病(n = 750)和内分泌、营养和代谢疾病(n = 734)。大多数单反包括11到50个随机对照试验。结论:人们对单反有用性的认识正以越来越快的速度增长,这反映在越来越多的已发表的研究上。最常评估的疾病与世界范围内导致死亡和残疾的主要原因一致。
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引用次数: 0
Transformative potential of artificial intelligence in global health policy. 人工智能在全球卫生政策中的变革潜力。
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2230660
Ridwan Islam Sifat, Upali Bhattacharya
ChatGPT is an extraordinary example of how far artificial intelligence has come regarding conversational interfaces. Its exceptional ability to mimic human interaction by utilizing advanced natural language processing techniques has completely transformed how people interact with technology today [1,2]. It offers a highly immersive experience for users; their conversations feel natural and realistic as if they are interacting with another human being [3]. What distinguishes ChatGPT from other chatbots or virtual assistants is its incredible aptitude: when answering questions, it acknowledges user assumptions and challenges them using sophisticated algorithms. This feature significantly contributes to creating valuable insights and enhancing overall learning experiences for the users who engage with ChatGPT [4,5]. Overall, through its remarkable features, powerful machine learning models, and capacity to improve throughout interactions, ChatGPT represents one of the most innovative technologies available currently and continues to evolve every day, thus transforming communication [6]. Its ability to generate accurate responses without additional user input has made it a valuable resource beyond simple inquiries, with users relying on it for academic papers and essays due to its capability to provide supporting references upon request. However, it is important to acknowledge that these references may contain errors, as noted by researchers [7,8]. The remarkable transformation of artificial intelligence technology has revolutionized multiple fields, particularly public policy. Artificial intelligence systems are indispensable tools in policymaking due to their proficiencies in recognizing patterns in vast amounts of information [9]. With these capabilities, policymakers can make more informed decisions precisely based on insights rather than relying entirely on intuition or assumptions. The potential for AI’s continued evolution is immense and wildly anticipated to facilitate unparalleled advancements that could change how we shape our policies. ChatGPT is a promising AI technology that can revolutionize global health policy. It can facilitate communication between humans and machines, enabling vital contributions to complex decision-making processes at all levels of government agencies. However, whether ChatGPT will significantly impact governance regarding efficiency improvements or transparency development within society is unclear. 2. Advantages of integrating ChatGPT in global health policy
{"title":"Transformative potential of artificial intelligence in global health policy.","authors":"Ridwan Islam Sifat,&nbsp;Upali Bhattacharya","doi":"10.1080/20016689.2023.2230660","DOIUrl":"https://doi.org/10.1080/20016689.2023.2230660","url":null,"abstract":"ChatGPT is an extraordinary example of how far artificial intelligence has come regarding conversational interfaces. Its exceptional ability to mimic human interaction by utilizing advanced natural language processing techniques has completely transformed how people interact with technology today [1,2]. It offers a highly immersive experience for users; their conversations feel natural and realistic as if they are interacting with another human being [3]. What distinguishes ChatGPT from other chatbots or virtual assistants is its incredible aptitude: when answering questions, it acknowledges user assumptions and challenges them using sophisticated algorithms. This feature significantly contributes to creating valuable insights and enhancing overall learning experiences for the users who engage with ChatGPT [4,5]. Overall, through its remarkable features, powerful machine learning models, and capacity to improve throughout interactions, ChatGPT represents one of the most innovative technologies available currently and continues to evolve every day, thus transforming communication [6]. Its ability to generate accurate responses without additional user input has made it a valuable resource beyond simple inquiries, with users relying on it for academic papers and essays due to its capability to provide supporting references upon request. However, it is important to acknowledge that these references may contain errors, as noted by researchers [7,8]. The remarkable transformation of artificial intelligence technology has revolutionized multiple fields, particularly public policy. Artificial intelligence systems are indispensable tools in policymaking due to their proficiencies in recognizing patterns in vast amounts of information [9]. With these capabilities, policymakers can make more informed decisions precisely based on insights rather than relying entirely on intuition or assumptions. The potential for AI’s continued evolution is immense and wildly anticipated to facilitate unparalleled advancements that could change how we shape our policies. ChatGPT is a promising AI technology that can revolutionize global health policy. It can facilitate communication between humans and machines, enabling vital contributions to complex decision-making processes at all levels of government agencies. However, whether ChatGPT will significantly impact governance regarding efficiency improvements or transparency development within society is unclear. 2. Advantages of integrating ChatGPT in global health policy","PeriodicalId":73811,"journal":{"name":"Journal of market access & health policy","volume":"11 1","pages":"2230660"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/eb/fa/ZJMA_11_2230660.PMC10316731.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10195134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Access to innovative drugs and the National Reimbursement Drug List in China: Changing dynamics and future trends in pricing and reimbursement. 中国创新药可及性和国家可报销药品目录:定价和报销的动态变化和未来趋势。
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2218633
Bérengère Macabeo, Liam Wilson, Jianwei Xuan, Ruichen Guo, Petar Atanasov, Linda Zheng, Clement François, Philippe Laramée

Background and objectives: Multiple reforms aimed at improving the Chinese population's health have been introduced in recent years, including several designed to improve access to innovative drugs. We sought to review current factors affecting access to innovative drugs in China and to anticipate future trends.

Methods: Targeted reviews of published literature and statistics on the Chinese healthcare system, medical insurance and reimbursement processes were conducted, as well as interviews with five Chinese experts involved in the reimbursement of innovative drugs.

Results: Drug reimbursement in China is becoming increasingly centralized due to the removal of provincial pathways, the establishment of the National Healthcare Security Administration and the implementation of the National Reimbursement Drug List (NRDL), which is now the main route for drug reimbursement in China. There is also an increasing number of other channels via which patients may access innovative treatments, including various types of commercial insurance and special access. Health technology assessment (HTA) and health economic evidence are becoming pivotal elements of the NRDL decision-making process. Alongside the optimization of HTA decision making, innovative risk-sharing agreements are anticipated to be increasingly leveraged in the future to optimize access to highly specialized technologies and encourage innovation while safeguarding limited healthcare funds.

Conclusions: Drug public reimbursement in China continues to align more closely with approaches widely used in Europe in terms of HTA, health economics and pricing. Centralization of decision-making processes for public reimbursement of innovative drugs allows consistency in assessment and access, which optimizes the improvement of the Chinese population's health.

背景和目标:近年来,中国实施了多项旨在改善人口健康的改革,其中包括一些旨在改善获得创新药物的改革。我们试图回顾目前影响中国创新药物可及性的因素,并预测未来的趋势。方法:对已发表的有关中国医疗体系、医疗保险和报销流程的文献和统计数据进行了有针对性的回顾,并对五位参与创新药报销的中国专家进行了访谈。结果:随着省级渠道的取消、国家医疗保障局的成立以及国家医保目录(NRDL)的实施,中国的药品报销越来越集中,国家医保目录已成为中国药品报销的主要途径。患者获得创新治疗的其他渠道也越来越多,包括各类商业保险和特殊渠道。卫生技术评估(HTA)和卫生经济证据正在成为NRDL决策过程的关键要素。除了优化HTA决策外,预计未来将越来越多地利用创新的风险分担协议来优化获得高度专业化技术的途径,并鼓励创新,同时保护有限的医疗保健资金。结论:在HTA、卫生经济学和定价方面,中国的药品公共报销继续与欧洲广泛使用的方法保持更紧密的一致。创新药物公共报销决策过程的集中,使评估和获取的一致性得以实现,从而优化改善中国人口的健康状况。
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引用次数: 2
A systematic review of the characteristics of data assessment tools to measure medical doctors' work-related quality of life. 测量医生工作相关生活质量的数据评估工具特征的系统综述。
Q2 Medicine Pub Date : 2023-01-01 DOI: 10.1080/20016689.2023.2234139
Miyuki Ezura, Katsuhiko Sawada, Yusuke Takushima, Ataru Igarashi, Lida Teng

Purpose: Remarkable progress in healthcare technology has recently been made alongside changes in concepts related to drugs and medical devices. It is speculated that this progress benefits not only patients but also healthcare professionals, such as medical doctors. We performed a systematic review of the characteristics of current data assessment tools to measure medical doctors' work-related quality of life (QOL).

Methods: A literature search was conducted through PubMed and Ichushi-Web in 2020. The related search terms used were 'medical doctor,' 'quality of work life,' and 'questionnaire/interview.' Two reviewers independently screened the studies, and the characteristics of the QOL assessment tools used in the identified studies were qualitatively reviewed and summarized.

Results: In total, 5,443 and 760 articles were retrieved from PubMed and Ichushi-Web, respectively, of which 82 studies were included in this review. Sixty-five (79%) studies used structured questionnaires, and 17 (21%) studies used semistructured questionnaires. In terms of the study purpose, the identified studies mainly included four: mental health, the work or labor situation, satisfaction, and QOL. Components used to measure work-related QOL included satisfaction, burnout, QOL, the work environment, stress, mental health, work-life balance, and others. None of the studies used an originally developed QOL questionnaire to assess the work-related benefits of medical doctors.

Conclusion: This systematic review found that there is a lack of studies directly assessing the work-related QOL of medical doctors and a lack of effective data collection tools to assess all work-related QOL components.

目的:最近在医疗保健技术方面取得了显著进展,同时也改变了与药物和医疗器械相关的概念。据推测,这一进展不仅有利于患者,也有利于医疗保健专业人员,如医生。我们对当前用于测量医生工作相关生活质量(QOL)的数据评估工具的特征进行了系统回顾。方法:于2020年通过PubMed和Ichushi-Web进行文献检索。相关的搜索词是“医生”、“工作生活质量”和“问卷/访谈”。两名审稿人独立筛选了这些研究,并对确定的研究中使用的生活质量评估工具的特征进行了定性审查和总结。结果:共从PubMed和Ichushi-Web检索到5443篇和760篇文章,其中82篇研究被纳入本综述。65项(79%)研究使用结构化问卷,17项(21%)研究使用半结构化问卷。就研究目的而言,确定的研究主要包括四个方面:心理健康、工作或劳动状况、满意度和生活质量。用于测量与工作相关的生活质量的组成部分包括满意度、倦怠、生活质量、工作环境、压力、心理健康、工作与生活平衡等。没有一项研究使用最初开发的生活质量问卷来评估医生的工作相关福利。结论:本系统综述发现,目前缺乏直接评估医生工作生活质量的研究,也缺乏有效的数据收集工具来评估所有工作生活质量组成部分。
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Journal of market access & health policy
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