Patients undergoing primary PCI were randomly assigned to either a genotype-guided strategy for selecting a P2Y
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inhibitor or to standard treatment with ticagrelor or prasugrel. At 12 months, ...genotype-guided therapy was noninferior to standard treatment with respect to thrombotic events and resulted in a lower incidence of bleeding.
Abstract Evidence-based health-care decision making requires comparisons of all relevant competing interventions. In the absence of randomized, controlled trials involving a direct comparison of all ...treatments of interest, indirect treatment comparisons and network meta-analysis provide useful evidence for judiciously selecting the best choice(s) of treatment. Mixed treatment comparisons, a special case of network meta-analysis, combine direct and indirect evidence for particular pairwise comparisons, thereby synthesizing a greater share of the available evidence than a traditional meta-analysis. This report from the ISPOR Indirect Treatment Comparisons Good Research Practices Task Force provides guidance on the interpretation of indirect treatment comparisons and network meta-analysis to assist policymakers and health-care professionals in using its findings for decision making. We start with an overview of how networks of randomized, controlled trials allow multiple treatment comparisons of competing interventions. Next, an introduction to the synthesis of the available evidence with a focus on terminology, assumptions, validity, and statistical methods is provided, followed by advice on critically reviewing and interpreting an indirect treatment comparison or network meta-analysis to inform decision making. We finish with a discussion of what to do if there are no direct or indirect treatment comparisons of randomized, controlled trials possible and a health-care decision still needs to be made.
The health economic literature has questioned the cost-effectiveness and affordability of advanced therapies, proposed adjustments to value assessment frameworks, and discussed the use of ...outcome-based managed entry agreements and staggered payments in the last few years. The aim of this manuscript is to conduct a critical reflection on assessment criteria and access conditions for reimbursement of advanced therapies.
A narrative review of the peer-reviewed literature and grey literature was conducted in April 2021 by searching PubMed; Google Scholar; policy and legislative documents; websites of health technology assessment agencies, advanced therapy organisations, governmental advanced therapy innovation programmes, consultancy agencies; ISPOR conference abstracts and presentations.
Based on the available evidence, this manuscript argues that: a) advanced therapies can be cost-effective at high prices set by manufacturers; b) the economic evaluation framework adopted by many payers under-values these products; c) advanced therapies can be affordable and may not require spread payments; d) outcome-based managed entry agreements are theoretically attractive, but challenging in practice; e) the cost-effectiveness of advanced therapies depends on the outcome-based managed entry agreement and payment approach; f) there is a role for multinational collaborations to manage reimbursement and access of advanced therapies.
This manuscript shows that there is no single approach to reimbursement and access of advanced therapies. Instead, we support a more tailored assessment of health economic aspects of advanced therapies, which considers the heterogeneity of these products and their target populations.
Abstract Evidence-based health care decision making requires comparison of all relevant competing interventions. In the absence of randomized controlled trials involving a direct comparison of all ...treatments of interest, indirect treatment comparisons and network meta-analysis provide useful evidence for judiciously selecting the best treatment(s). Mixed treatment comparisons, a special case of network meta-analysis, combine direct evidence and indirect evidence for particular pairwise comparisons, thereby synthesizing a greater share of the available evidence than traditional meta-analysis. This report from the International Society for Pharmacoeconomics and Outcomes Research Indirect Treatment Comparisons Good Research Practices Task Force provides guidance on technical aspects of conducting network meta-analyses (our use of this term includes most methods that involve meta-analysis in the context of a network of evidence). We start with a discussion of strategies for developing networks of evidence. Next we briefly review assumptions of network meta-analysis. Then we focus on the statistical analysis of the data: objectives, models (fixed-effects and random-effects), frequentist versus Bayesian approaches, and model validation. A checklist highlights key components of network meta-analysis, and substantial examples illustrate indirect treatment comparisons (both frequentist and Bayesian approaches) and network meta-analysis. A further section discusses eight key areas for future research.
Due to extended application of pharmacogenetic and pharmacogenomic screening (PGx) tests it is important to assess whether they provide good value for money. This review provides an update of the ...literature.
A literature search was performed in PubMed and papers published between August 2010 and September 2014, investigating the cost-effectiveness of PGx screening tests, were included. Papers from 2000 until July 2010 were included via two previous systematic reviews. Studies' overall quality was assessed with the Quality of Health Economic Studies (QHES) instrument.
We found 38 studies, which combined with the previous 42 studies resulted in a total of 80 included studies. An average QHES score of 76 was found. Since 2010, more studies were funded by pharmaceutical companies. Most recent studies performed cost-utility analysis, univariate and probabilistic sensitivity analyses, and discussed limitations of their economic evaluations. Most studies indicated favorable cost-effectiveness. Majority of evaluations did not provide information regarding the intrinsic value of the PGx test. There were considerable differences in the costs for PGx testing. Reporting of the direction and magnitude of bias on the cost-effectiveness estimates as well as motivation for the chosen economic model and perspective were frequently missing.
Application of PGx tests was mostly found to be a cost-effective or cost-saving strategy. We found that only the minority of recent pharmacoeconomic evaluations assessed the intrinsic value of the PGx tests. There was an increase in the number of studies and in the reporting of quality associated characteristics. To improve future evaluations, scenario analysis including a broad range of PGx tests costs and equal costs of comparator drugs to assess the intrinsic value of the PGx tests, are recommended. In addition, robust clinical evidence regarding PGx tests' efficacy remains of utmost importance.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
A diabetes risk score cannot directly be translated and applied in different populations, and its performance should be evaluated in the target population. This study aimed to translate the Finnish ...Diabetes Risk Score (FINDRISC) instrument and compare its performance with the modified version for detecting undiagnosed type 2 diabetes mellitus (T2DM) and dysglycaemia among the Indonesian adult population. Forward and backward translations were performed and followed by cultural adaptation. In total, 1,403 participants were recruited. The FINDRISC-Bahasa Indonesia (FINDRISC-BI) was scored according to the original FINDRISC instrument, while a Modified FINDRISC-BI was analyzed using a specific body mass index and waist circumference classification for Indonesians. The area under the receiver operating characteristic curve, sensitivity, specificity, and the optimal cut-offs of both instruments were estimated. The area under the receiver operating characteristic curve for detecting undiagnosed T2DM was 0.73 (0.67–0.78) for the FINDRISC-BI with an optimal cut-off score of ≥9 (sensitivity = 63.0%; specificity = 67.3%) and 0.72 (0.67–0.78) for the Modified FINDRISC-BI with an optimal cut-off score of ≥11 (sensitivity = 59.8%; specificity = 74.9%). The area under the receiver operating characteristic curve for detecting dysglycaemia was 0.72 (0.69–0.75) for the FINDRISC-BI instrument with an optimal cut-off score of ≥8 (sensitivity = 66.4%; specificity = 67.0%), and 0.72 (0.69–0.75) for the Modified FINDRISC-BI instrument with an optimal cut-off score ≥9 (sensitivity = 63.8%; specificity = 67.6%). The Indonesian version of the FINDRISC instrument has acceptable diagnostic accuracy for screening people with undiagnosed T2DM or dysglycaemia in Indonesia. Modifying the body mass index and waist circumference classifications in the Modified FINDRISC-BI results in a similar diagnostic accuracy; however, the Modified FINDRISC-BI has a higher optimal cut-off point than the FINDRISC-BI. People with an above optimal cut-off score are suggested to take a further blood glucose test.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Multiple myeloma (MM) is the second most common hematologic malignancy. MM is associated with significant morbidity due to its end-organ destruction and is a disease of the older population. Although ...survival rates for MM have improved over the last decade, due to an increase in treatment options, the disease remains incurable. Expensive (oral) agents are widely used in MM patients; however, tools for supporting patients in complex treatment regimens are scarce. To investigate if a tool will support MM patients and healthcare professionals, the MM e-coach was developed and tested. The aim of this study is to study the impact of telemonitoring on adherence, complications and quality of life in patients with MM (ITUMM study).INTRODUCTIONMultiple myeloma (MM) is the second most common hematologic malignancy. MM is associated with significant morbidity due to its end-organ destruction and is a disease of the older population. Although survival rates for MM have improved over the last decade, due to an increase in treatment options, the disease remains incurable. Expensive (oral) agents are widely used in MM patients; however, tools for supporting patients in complex treatment regimens are scarce. To investigate if a tool will support MM patients and healthcare professionals, the MM e-coach was developed and tested. The aim of this study is to study the impact of telemonitoring on adherence, complications and quality of life in patients with MM (ITUMM study).A two-arm open-label parallel-group randomized controlled trial will be conducted between March 2021 and June 2024 to compare the telemonitoring (MM e-coach) with standard MM care. This study aimed to recruit 150 patients with recently diagnosed multiple myeloma (RDMM), starting first or second line of treatment. Blinded primary outcome is adherence by pill count after start of treatment at 1-3 months. Secondary outcomes are patient reported outcomes: GFI, EQ-5D-5L, EORTC-QLQ-C30, SDM-Q-9, MARS-5, single item questions, PREMs, adverse events, OS and PFS. Patient reported outcomes were developed and integrated in the e-coach MM to regularly measure digitized outcomes of MM patients from time of RDMM until 12 months post-diagnosis. Online measurements will be performed at baseline (0), 3, 6, 9 and 12 months.METHODSA two-arm open-label parallel-group randomized controlled trial will be conducted between March 2021 and June 2024 to compare the telemonitoring (MM e-coach) with standard MM care. This study aimed to recruit 150 patients with recently diagnosed multiple myeloma (RDMM), starting first or second line of treatment. Blinded primary outcome is adherence by pill count after start of treatment at 1-3 months. Secondary outcomes are patient reported outcomes: GFI, EQ-5D-5L, EORTC-QLQ-C30, SDM-Q-9, MARS-5, single item questions, PREMs, adverse events, OS and PFS. Patient reported outcomes were developed and integrated in the e-coach MM to regularly measure digitized outcomes of MM patients from time of RDMM until 12 months post-diagnosis. Online measurements will be performed at baseline (0), 3, 6, 9 and 12 months.Ethics approval has been granted by the Ethics Committee of the Isala klinieken in The Netherlands (No. 201111) at 25 February 2021. Study results will be disseminated to the relevant healthcare communities by publication in peer-reviewed journals, and at scientific and clinical conferences.ETHICS AND DISSEMINATIONEthics approval has been granted by the Ethics Committee of the Isala klinieken in The Netherlands (No. 201111) at 25 February 2021. Study results will be disseminated to the relevant healthcare communities by publication in peer-reviewed journals, and at scientific and clinical conferences.ClinicalTrials.gov number: NCT05964270 and ABR number: NL75771.075.20.STUDY REGISTRATION NUMBERClinicalTrials.gov number: NCT05964270 and ABR number: NL75771.075.20.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
ObjectivesOur main objective is to assess the inter-reviewer reliability (IRR) reported in published systematic literature reviews (SLRs). Our secondary objective is to determine the expected IRR by ...authors of SLRs for both human and machine-assisted reviews.MethodsWe performed a review of SLRs of randomised controlled trials using the PubMed and Embase databases. Data were extracted on IRR by means of Cohen’s kappa score of abstract/title screening, full-text screening and data extraction in combination with review team size, items screened and the quality of the review was assessed with the A MeaSurement Tool to Assess systematic Reviews 2. In addition, we performed a survey of authors of SLRs on their expectations of machine learning automation and human performed IRR in SLRs.ResultsAfter removal of duplicates, 836 articles were screened for abstract, and 413 were screened full text. In total, 45 eligible articles were included. The average Cohen’s kappa score reported was 0.82 (SD=0.11, n=12) for abstract screening, 0.77 (SD=0.18, n=14) for full-text screening, 0.86 (SD=0.07, n=15) for the whole screening process and 0.88 (SD=0.08, n=16) for data extraction. No association was observed between the IRR reported and review team size, items screened and quality of the SLR. The survey (n=37) showed overlapping expected Cohen’s kappa values ranging between approximately 0.6–0.9 for either human or machine learning-assisted SLRs. No trend was observed between reviewer experience and expected IRR. Authors expect a higher-than-average IRR for machine learning-assisted SLR compared with human based SLR in both screening and data extraction.ConclusionCurrently, it is not common to report on IRR in the scientific literature for either human and machine learning-assisted SLRs. This mixed-methods review gives first guidance on the human IRR benchmark, which could be used as a minimal threshold for IRR in machine learning-assisted SLRs.PROSPERO registration numberCRD42023386706.
Objectives: To assess the comparative budget and health impact of lower-dose dabigatran versus reduced doses of apixaban and rivaroxaban in atrial fibrillation (AF) patients eligible for a ...lower-/reduced-dose due to individual patient characteristics in the Netherlands.Methods: A budget impact model was developed in accordance with ISPOR guidelines. A 3-year-time horizon was considered, and analyses were conducted from a Dutch healthcare payer’s perspective. The model applies published data to local AF-epidemiology, allowing calculations to estimate clinical events (strokes and haemorrhages) and costs. The analyses were based on real-world outcomes from patients with AF receiving a first direct oral anticoagulant (DOAC) prescription for low-dose dabigatran (110 mg) and a reduced dose of apixaban (2.5 mg) or rivaroxaban (15 mg). Two situations of switching treatments from one to another DOAC were modelled: switching from apixaban to dabigatran and from rivaroxaban to dabigatran. Base case results were given as savings per 100 patient-year, per total Dutch population, and events avoided. A univariate sensitivity analysis was conducted to explore the uncertainty around epidemiological and event costs input data. Scenario analyses were performed to estimate the effect of different market shares and potential price reductions due to future patent expiry for the total real-world population from the Netherlands.Results: The 3-years outcomes of switching patients eligible for a lower-/reduced-dose due to individual patient characteristics from apixaban or rivaroxaban to dabigatran resulted in cost savings estimated at €157 or €72 thousand per 100 patient-years, respectively, or €146 million per total Dutch population. Looking into the clinical events, dabigatran reflected the lowest number of mortalities, ischemic strokes, major bleeding, non-major bleeding, and haemorrhagic stroke compared to apixaban and rivaroxaban. The sensitivity analysis consistently reflected cost savings, with the ischeamic stroke events having the biggest impact. Accounting for the Dutch situation, both scenarios showed total savings ranging from €45 to €229 million over 3 years.Conclusions: Switching eligible AF-patients from reduced-dose apixaban or rivaroxaban to lower-dose dabigatran has the potential to reduce healthcare payer’s budget expenditures and provide health gains. Cost savings can potentially be further enhanced by market share adjustments and further price reductions.
IPOPI held its first Global Multi-Stakeholders’ Summit on 23-24 June 2022 in Cascais, Portugal. This IPOPI initiative was designed to set the stage for a stimulating forward-thinking meeting and ...brainstorming discussion among stakeholders on the future priorities of the PID community. All participants were actively engaged in the entire Summit, bringing provocative questions to ensure a high level of discussion and engagement, and partnered in identifying the outlooks, unmet needs, hurdles and opportunities of PIDs for 2030. The topics that were covered include diagnosis (e.g., newborn screening NBS, genomic sequencing— including ethical aspects on the application of genomics on NBS, the role of more accurate and timely diagnostics in impacting personalized management), treatment (e.g., the therapeutic evolution of immunoglobulins in a global environment, new therapies such as targeted therapies, new approaches in curative therapies), the interactions of Primary ID with Secondary ID, Autoinflammatory Diseases and other diseases as the field experiences an incessant evolution, and also the avenues for research in the field of humanities and human sciences such as Patient-Reported Outcome Measures (PROMs), Patient-Reported Experience Measures (PREMs), and Health-Related Quality Of Life (HRQoL). During this meeting, all participants contributed to the drafting of recommendations based on our common understanding of the future opportunities, challenges, and scenarios. As a collection of materials, perspectives and summaries, they are succinct and impactful and may help determine some of the next key steps for the PID community.
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