To enhance the quality and transparency of oncology real-world evidence studies, the European Society for Medical Oncology (ESMO) has developed the first specific reporting guidelines for oncology RWE studies in peer-reviewed journals "the ESMO Guidance for Reporting Oncology Real-World Evidence (GROW)". To facilitate readers understanding and application of these reporting standards, this article introduces and interprets the development process and main contents of the ESMO-GROW checklist.
The application of economic tools to evaluate the cost and health benefits and screen out more cost-effective drugs and technologies is an important measure to improve efficiency of medical resource allocation in China. Given the inherent differences between strict clinical trials and clinical routine practice, using trial-based economic evaluations to guide relevant medical decisions may lead to a certain risk of value deviation. Recent development of real-world data provides opportunities to assess the cost-effectiveness of drugs under the practical utilization, and has gradually become a new research hotspot. However, the complexity of the actual clinical environment also puts higher demands on researchers and decision makers to construct, understand and apply real-world evidence. In order to further prompt the normalization of economic evaluation based on real-world data and promote the scientific application of real-world evidence in medical and health decision-making, this project aims at the crucial issues including scope, research design and quality evaluation, to clarify the key considerations on the using of real-world evidence in medical decision-making. Combined with the international guidelines, the latest advancement of relevant research areas and the advice and opinions from multidisciplinary experts, we aim to provide technical references and guidance for researchers and decision makers, and to strengthen the evidence base of management policies.
ObjectiveTo analyze the limitations and challenges for the use of real-world data in the decision making of drug reimbursement through literature review and provide standard process and guideline for the real-world study supporting drug reimbursement. MethodsBy summarizing the relevant policies, regulations, and guiding principles of major drug regulatory agencies worldwide, the study analyzed the applicable conditions, framework, and reimbursement mode for using real-world evidence in the decision making of drug reimbursement. ResultsThe study found that the health technology assessment departments of major developed countries and Asian countries have used real -world evidence to evaluate the drug efficacy and safety. The application scope of real-world data for reimbursement decision included describing the treatment process of the disease, assessing economic burden, verifying economic models, and evaluating the efficacy and safety of drugs. Some developed countries including the United Kingdom and the United States had released guidelines or frameworks of the real-world study for reimbursement decision. The process and framework of using real-world data in reimbursement decision could be divided into three models: coverage with evidence development, outcome-based contract, and re-assessment. ConclusionReal-world data has been widely used in the process of health technology assessment. To adapt to the development of the pharmaceutical industry and to meet the needs of clinical patients, it is urgent to standardize the process of collecting real-world data and formulate the scope and process of using real-world data in the reimbursement process.
ObjectiveTo evaluate changes in operational effectiveness after the implementation of ambulatory surgical management in pars plana vitrectomy (PPV). MethodsA retrospective clinical study. 17 528 surgeries in 10 895 eyes of 10 895 patients who underwent minimally invasive PPV on an ambulatory and/or inpatient basis at Tianjin Medical University Eye Hospital from August 2015 to June 2023 were included in this study. Among them, 5 346 eyes in 5 346 cases were male; 5 549 eyes in 5 549 cases were female. The age ranged from 0 to 95 years, with the mean age of (57.74±13.15) years. 6 381 surgeries in 3 615 eyes from August 2015 to December 2018 (the initial period of day surgery) were used as the control group; 11 147 surgeries in 7 280 eyes from January 2019 to June 2023 (the expanded period of day surgery) were used as the observation group. According to the management mode of ambulatory surgery, the observation group was subdivided into the decentralized management group (January 2019 to December 2020) and the centralized management group (January 2021 to June 2023), with 2 905 and 4 375 eyes and 4 646 and 6 501 surgeries, respectively. Changes in the percentage of day surgery, average hospitalization days, and average unplanned reoperation rate were compared. The Mann-Whitney U test was used to compare numerical variables between groups; the chi-square test or Fisher's exact test was used to compare categorical variables. ResultsThe number of cases of daytime PPV performed in the observation group and control group was 7 852 (70.44%, 7 852/11 147) and 24 (0.38%, 24/6 381) cases, respectively, and the average hospitalization days were 1 (1) and 5 (3) d. Compared with the control group, the observation group had a significantly higher percentage of day surgery (χ2=8 051.01) and a considerably lower mean hospitalization day (Z=4 536 844.50), and the differences were statistically significant (P＜0.000 1). The mean hospitalization days in the decentralized and centralized management groups were 2 (3) and 1 (0) d, respectively, and unplanned reoperations were 34 (0.73%, 34/4 646) and 171 (2.63%, 171/6 501) eyes, respectively. Compared with the decentralized management group, average hospitalization days was significantly lower (Z=1 436.94) and unplanned reoperation rate was significantly higher (χ2=54.10) were significantly lower in the centralized management group, both of which were statistically significant (P＜0.000 1). ConclusionPPV ambulatory management model can significantly reduce the average hospitalization day, but also results in higher rates of unplanned reoperations.
A patient registry database is an important source of real-world data, and has been widely used in the assessment of drug and medical devices, as well as disease management. As the second part of the serial technical guidance for real-world data and studies, this paper introduces the concept and scope of potential uses of patient registry databases, proposes recommendations for planning and developing a patient registry database, and compares existing health and medical databases. This paper further develops essential quality indicators for developing a patient registry database, in expect to guide future studies.
ObjectivesTo explore the characteristics of the international clinical studies using objective performance criteria (OPC) and provide a reference to design clinical trials and determine external controls.MethodsPubMed, The Cochrane Library and EMbase databases were searched for all clinical studies which used OPC. Two reviewers independently screened literature, extracted data and descriptive analysis was then performed.ResultsA total of 51 English language articles were included. Merely one was published in 2001, and others were published between 2010 and 2018. Twenty-seven articles (27/51, 52.9%) were published between 2017 and 2018, with accumulated impact factors of 411. In the article referring to the reasons for using the objective performance criteria, reasons for using OPC study was primarily the difficulties of randomization and comparison (8/11, 72.7%). Articles with cardiovascular disease and peripheral vascular disease accounted for 86%, and articles on the effectiveness or safety of medical devices accounted for 76.5%. Single-arm trial (40), randomized controlled trials (2), case-control studies (2), case series (5) and diagnostic tests (2) were included. OPCs were mostly derived from the data of clinical trials of other similar products, national standards, specialist association standard and meta-analysis of multiple clinical studies. A total of 27 articles (27/51, 52.9%) used hypothesis testing to compare research results with objective performance goal, and 24 articles (24/51, 47.1%) used the confidence interval method.ConclusionsOPC studies are primarily used for safety intervention and effect evaluation. OPC studies are developing very rapidly, especially in the field of cardiovascular studies. Methodological details are reported reasonably sufficient. Reasons for using OPC study are primarily the difficulties of randomization and comparison. Factors such as source of the OPC, sample size, and comparison method should be taken into account. The application of the OPC can not only solve the difficulties of the implementation of numerous clinical research, but also provide new insights for solving the practical difficulties of clinical research in the real-world.
With the acceleration of global innovative drug development, selecting safe, effective, and cost-effective products from numerous drugs has posed new challenges for the decision-making process of medical insurance drug access and dynamic updating of insurance directory. Real-world data (RWD) provides a new perspective for evaluation of clinical and economic value of drugs, but there are still uncertainties regarding the scope, quality standards, and evidence categories of RWD that can be used. Based on the current status of domestic and international RWD supporting the assessment of the clinical and economic value of drugs, this paper, in collaboration with national RWD and healthcare experts, has developed the key considerations for using real-world data to evaluate the clinical and economic value of drugs. This paper first clarifies the scope of RWD that can be used to evaluate the clinical and economic value of drugs evaluate; secondly, provides specific requirements and guidance on data attribution, data governance, and quality standards for RWD; finally, summarizes the evidence categories of RWD supporting evaluate the clinical and economic value of drugs evaluate.
Traditional Chinese medicine (TCM) has a long history. In the process of fighting against diseases, TCM has formed a unique theoretical system and the way to think and diagnose. The holistic thinking, and the treatment according to syndrome differentiation are the most prominent characteristics of TCM, which matches with advanced medical concept and direction. The clinical efficacy has always been the basis for the advancement of TCM. However, issues such as the lagging behind of modern research on the evaluation of TCM curative effect, as well as lacking high-quality scientific research evidence, impede the development and promotion of the TCM toward the world. To address the above problems, recent progress in real-word study (RWS) has provided the opportunity for TCM researches, especially for the post-marketing evaluation of Chinese patent medicine (CPM). The formulation of this technical guidance for RWS of CPM is helpful to researchers in carrying out standardized, reasonable and scientific researches, to improve the quality of production and use of real-word evidence, and to promote the advancement of the TCM industry.
ObjectiveWe constructed a real-world evidence evaluation system to provide reference for obtaining high-quality evidence in evidence-based medicine.MethodsThrough the investigation and analysis of the key factors influencing the real-world research evidence, combined with domestic and foreign literature and evaluation tools, we preliminarily constructed the indicators of the real-world evidence evaluation system, then consulted experts in related fields by the Delphi method, modified and determined the final evaluation indicators. ResultsThe indicators of the final real-world evidence evaluation system included 40 items. The recovery efficiencies of the two rounds of expert consultation were 88.2% and 100%; The expert coordination coefficients were 0.174 (P<0.001) and 0.189 (P<0.001). After the second round of consultation, the mean of Likert scale in the range of 3.73~4.93, and the coefficient of variation varied in the range of 0.05~0.21. ConclusionThe real-world evidence evaluation system constructed in this study has certain reliability and scientificity, which can provide a basis and help for the transformation of real-world research into high-quality evidence.
ObjectiveTo systematically review the difference in 30-day readmission rates among acute heart failure patients between real-world studies vs. randomized controlled trials (RCTs). MethodsPubMed, EMbase, The Cochrane Library, CNKI, CBM, VIP and WanFang Data databases were electronically searched to collect clinical studies on 30-day readmission rates in patients with acute heart failure from inception to April 12th, 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using Stata 16.0 software. ResultsA total of 33 real-world studies and 11 RCTs involving 106 722 subjects were included. The results of meta-analysis showed that the 30-day heart failure-related readmission rates in the real-world studies and RCTs were 10.8% (95%CI 9.3% to 12.3%) and 6.9% (95%CI 5.3% to 8.4%), respectively. The 30-day all-cause readmission rates in real-world studies and randomized controlled studies were 18.6% (95%CI 15.7% to 21.4%) and 14.2% (95%CI 12.0% to 16.3%), respectively. There were statistically significant differences between two kinds of studies (P<0.05). ConclusionsCurrent evidence suggests that the 30-day heart failure-related and all-cause readmission rates in patients of acute heart failure in real-world studies are significantly higher than those in patients of RCTs. Due to the limited quality and quantity of included studies, more high-quality studies are required to verify the above conclusions.