Tarry Ahuja's research while affiliated with Canadian Agency For Drugs And Technologies In Health and other places

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Publications (4)


Development of a Multi-Criteria Decision Analysis Rating Tool to Prioritize Real-World Evidence Questions for the Canadian Real-World Evidence for Value of Cancer Drugs (CanREValue) Collaboration
  • Article
  • Full-text available

March 2023

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81 Reads

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2 Citations

Current Oncology

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Scott Gavura

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Tanya Potashnik

The Canadian Real-world Evidence for Value of Cancer Drugs (CanREValue) collaboration developed an MCDA rating tool to assess and prioritize potential post-market real-world evidence (RWE) questions/uncertainties emerging from public drug funding decisions in Canada. In collaboration with a group of multidisciplinary stakeholders from across Canada, the rating tool was developed following a three-step process: (1) selection of criteria to assess the importance and feasibility of an RWE question; (2) development of rating scales, application of weights and calculating aggregate scores; and (3) validation testing. An initial MCDA rating tool was developed, composed of seven criteria, divided into two groups. Group A criteria assess the importance of an RWE question by examining the (1) drug’s perceived clinical benefit, (2) magnitude of uncertainty identified, and (3) relevance of the uncertainty to decision-makers. Group B criteria assess the feasibility of conducting an RWE analysis including the (1) feasibility of identifying a comparator, (2) ability to identify cases, (3) availability of comprehensive data, and (4) availability of necessary expertise and methodology. Future directions include partnering with the Canadian Agency for Drugs and Technology in Health’s Provincial Advisory Group for further tool refinement and to gain insight into incorporating the tool into drug funding deliberations.

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Preliminary efficacy of optimal pharmacotherapy and patient views in multiple myeloma.

June 2022

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9 Reads

Journal of Clinical Oncology

e20006 Background: As new agents are approved for multiple myeloma (MM) and existing drugs become generic, treatments that represent optimal use of healthcare funds need to be reassessed. A therapeutic review was initiated to compare the clinical and cost-effectiveness of treatments for newly diagnosed (NDMM) patients who are ineligible for stem cell transplantation and those who are relapsed and/or are refractory (RRMM). This abstract reports on the clinical efficacy of treatments for both populations along with patient experiences, expectations, and perspectives of treatment for MM. Methods: A systematic literature search of randomized controlled phase III trials (RCTs), published between January 1996 and April 2021, that met the eligibility criteria in either population were included. Two network meta-analyses (NMA), one per population, were conducted to compare the efficacy across treatments for the primary endpoint of progression-free survival (PFS). PFS was defined as the time from randomization to either disease progression or death. A random-effects model was used in both populations to estimate the hazard ratio (HR) and 95% credible intervals (CrIs) for PFS. Myeloma Canada conducted seven surveys between January 2016 and May 2021 that addressed expectations when selecting a treatment option in MM. A literature search of qualitative studies published between January 2016 and May 2021 was conducted on patients’ perspectives and experiences on treatment decisions in MM. Results: There were 29 RCTs in each NMA with an overall low risk of bias. The NDMM NMA identified 11 regimens that had numerically lower hazards for PFS compared to lenalidomide + dexamethasone (Rd), with HRs ranging from 0.38 to 0.99. The RRMM network showed 15 regimens that had numerically lower hazards for PFS compared to Rd, with HRs ranging from 0.44 to 0.99. Due to the wide 95% CrIs, conclusions on differences in PFS for each population are limited. Myeloma Canada collated data from 2,297 survey respondents. Ten qualitative studies of low to moderate quality were included. The survey data and qualitative studies found that choosing a treatment must involve a holistic approach beyond the efficacy of a therapy. Conclusions: The uncertainty in both NMAs limit firm conclusions on differences in PFS across treatment options in each population. Among the survey respondents, socioeconomic status was unclear which may influence patients’ expectations and preferences for treatment decisions in MM. Insufficient reporting in the qualitative studies makes it unclear how a patient’s treatment decisions changes over time. For Canadian payers to optimize the funding of treatment options available in MM, the results from the NMAs combined with Canadian real-world evidence will inform the development of an economic model to assess the cost-effectiveness of treatment sequences in NDMM.


Developing a Canadian Real-World Evidence Action Plan across the Drug Life Cycle

May 2020

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44 Reads

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10 Citations

Healthcare policy = Politiques de sante

Policy makers face challenges with the number of drugs for rare indications and rapidly rising costs. In facing these challenges, decision-makers see real-world evidence (RWE) as an opportunity. Health Canada and the Canadian Agency for Drugs and Technologies in Health (CADTH) recently announced their intent to co-develop an action plan to optimize the process for the systematic use and integration of RWE into both regulatory and reimbursement decision-making in Canada. When implemented, this will have a significant impact on how drugs are approved and paid for in Canada. We highlight the key opportunities, barriers and future directions related to the use of RWE throughout the life cycle of drugs in Canada.


Use of Real-World Data Sources for Canadian Drug Pricing and Reimbursement Decisions: Stakeholder Views and Lessons for Other Countries

May 2019

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195 Reads

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5 Citations

International Journal of Technology Assessment in Health Care

Background Canada has a long history of the use of clinical evidence to support healthcare decision making. Given improvements in data holdings and analytic capacity in Canada and stakeholder interest, the purpose of this study is to reflect on perceptions of the value of real-world evidence in pricing and reimbursement decisions, barriers to its optimal use in pricing and reimbursement, current initiatives that may lead to its increased use, and what role the pharmaceutical industry may play in this. Methods/Results To capture stakeholder perceptions, ninety-one participants identified as key stakeholders were identified according to background roles and geography and invited to participate in four round table discussions conducted under Chatham House rule. Important themes emerging from these discussions included: (i) the need to understand what “real world” evidence means; (ii) barriers to using real world evidence from differences in access, governance, inter-operability, system structures, expertise, and quality across Canadian health systems; (iii) differing views on industry's role. Conclusions The use of real-world data in Canada to inform pricing and reimbursement decisions is far from routine but nascent and slowly increasing. Barriers, including interoperability concerns, may also apply to other federated health systems that need to focus on the networking of healthcare administrative data across provincial jurisdictional boundaries. There also appears to be a desire to see better use of pragmatic trials linked to these administrative data sets. Emerging initiatives are under way to use real world evidence more broadly, and include identification of common data elements and approaches to networking data.

Citations (3)


... It does this by providing a structured approach in considering key aspects of decisional value while incorporating multiple perspectives. As part of the CanREValue Collaboration, the Planning and Drug Selection Working Group (PDS-WG), one of five WGs established by the collaboration, developed an MCDA rating tool to evaluate uncertainties arising from initial drug funding recommendations and to prioritize potential RWE projects that are relevant and feasible for public payers [8,13]. ...

Reference:

Application of Multi-Criteria Decision Analysis (MCDA) to Prioritize Real-World Evidence Studies for Health Technology Management: Outcomes and Lessons Learned by the Canadian Real-World Evidence for Application of Multi-Criteria Decision Analysis (MCDA) to Prioritize Real-World Evidence Studies for Health Technology Management: Outcomes and Lessons Learned by the Canadian Real-World Evidence for Value of Cancer Drugs (CanREValue) Collaboration
Development of a Multi-Criteria Decision Analysis Rating Tool to Prioritize Real-World Evidence Questions for the Canadian Real-World Evidence for Value of Cancer Drugs (CanREValue) Collaboration

Current Oncology

... Despite pragmatic trials, single-arm trials, and indirect comparison evidence as some sources of evidence for HTA, stakeholders look to other sources of evidence like RWE. This type of evidence aims to fill the evidence gaps and inherent shortcomings of RCTs as well as minimize the uncertainty in decision-making processes [2,5,8,11,12,14,16,20]. ...

Developing a Canadian Real-World Evidence Action Plan across the Drug Life Cycle

Healthcare policy = Politiques de sante

... Methodological challenges associated with RWD and RWE include selection bias within international context [34], lower data quality compared to RCTs in various countries including several European countries and Canada [20, 33,36,41]. Standardization issues as well as design and reporting issues of non-RCT studies were also key concerns in European countries [18,23] and limited infrastructure for collecting RWD with data collection issues in Canada for decision-making pertaining to drug pricing and reimbursement in Canada as well as in South American countries [26,41], and concerns about the representativeness of RWD data [20]. ...

Use of Real-World Data Sources for Canadian Drug Pricing and Reimbursement Decisions: Stakeholder Views and Lessons for Other Countries

International Journal of Technology Assessment in Health Care