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Dive into the research topics where Vakaramoko Diaby is active.

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Featured researches published by Vakaramoko Diaby.


Health Expectations | 2015

Application of multicriteria decision analysis in health care: a systematic review and bibliometric analysis

Georges Adunlin; Vakaramoko Diaby; Hong Xiao

The use of Multi‐Criteria Decision Analysis (MCDA) in health care has become common. However, the literature lacks systematic review trend analysis on the application of MCDA in health care.


Expert Review of Pharmacoeconomics & Outcomes Research | 2014

How to use multi-criteria decision analysis methods for reimbursement decision-making in healthcare: a step-by-step guide

Vakaramoko Diaby; Ron Goeree

In recent years, the quest for more comprehensiveness, structure and transparency in reimbursement decision-making in healthcare has prompted the research into alternative decision-making frameworks. In this environment, multi-criteria decision analysis (MCDA) is arising as a valuable tool to support healthcare decision-making. In this paper, we present the main MCDA decision support methods (elementary methods, value-based measurement models, goal programming models and outranking models) using a case study approach. For each family of methods, an example of how an MCDA model would operate in a real decision-making context is presented from a critical perspective, highlighting the parameters setting, the selection of the appropriate evaluation model as well as the role of sensitivity and robustness analyses. This study aims to provide a step-by-step guide on how to use MCDA methods for reimbursement decision-making in healthcare.


PharmacoEconomics | 2014

Survival Modeling for the Estimation of Transition Probabilities in Model-Based Economic Evaluations in the Absence of Individual Patient Data: A Tutorial

Vakaramoko Diaby; Georges Adunlin; Alberto J. Montero

BackgroundSurvival modeling techniques are increasingly being used as part of decision modeling for health economic evaluations. As many models are available, it is imperative for interested readers to know about the steps in selecting and using the most suitable ones. The objective of this paper is to propose a tutorial for the application of appropriate survival modeling techniques to estimate transition probabilities, for use in model-based economic evaluations, in the absence of individual patient data (IPD). An illustration of the use of the tutorial is provided based on the final progression-free survival (PFS) analysis of the BOLERO-2 trial in metastatic breast cancer (mBC).MethodsAn algorithm was adopted from Guyot and colleagues, and was then run in the statistical package R to reconstruct IPD, based on the final PFS analysis of the BOLERO-2 trial. It should be emphasized that the reconstructed IPD represent an approximation of the original data. Afterwards, we fitted parametric models to the reconstructed IPD in the statistical package Stata. Both statistical and graphical tests were conducted to verify the relative and absolute validity of the findings. Finally, the equations for transition probabilities were derived using the general equation for transition probabilities used in model-based economic evaluations, and the parameters were estimated from fitted distributions.ResultsThe results of the application of the tutorial suggest that the log-logistic model best fits the reconstructed data from the latest published Kaplan–Meier (KM) curves of the BOLERO-2 trial. Results from the regression analyses were confirmed graphically. An equation for transition probabilities was obtained for each arm of the BOLERO-2 trial.ConclusionsIn this paper, a tutorial was proposed and used to estimate the transition probabilities for model-based economic evaluation, based on the results of the final PFS analysis of the BOLERO-2 trial in mBC. The results of our study can serve as a basis for any model (Markov) that needs the parameterization of transition probabilities, and only has summary KM plots available.


Expert Review of Pharmacoeconomics & Outcomes Research | 2015

Multi-criteria decision analysis for health technology assessment in Canada: insights from an expert panel discussion

Vakaramoko Diaby; Ron Goeree; Jeffrey S. Hoch; Uwe Siebert

Multi-criteria decision analysis (MCDA), a decision-making tool, has received increasing attention in recent years, notably in the healthcare field. For Canada, it is unclear whether and how MCDA should be incorporated into the existing health technology assessment (HTA) decision-making process. To facilitate debate on improving HTA decision-making in Canada, a workshop was held in conjunction with the 8th World Congress on Health Economics of the International Health Economics Association in Toronto, Canada in July 2011. The objective of the workshop was to discuss the potential benefits and challenges related to the use of MCDA for HTA decision-making in Canada. This paper summarizes and discusses the recommendations of an expert panel convened at the workshop to discuss opportunities and concerns with reference to the implementation of MCDA in Canada.


Breast Cancer Research and Treatment | 2014

Cost-effectiveness analysis of everolimus plus exemestane versus exemestane alone for treatment of hormone receptor positive metastatic breast cancer

Vakaramoko Diaby; Georges Adunlin; Simon B. Zeichner; Kiran Avancha; Gilberto Lopes; Stefan Glück; Alberto J. Montero

Everolimus in combination with exemestane significantly improved progression-free survival compared to exemestane alone in patients previously treated with non-steroidal aromatase inhibitors in the BOLERO-2 trial. As a result, this combination has been approved by the food and drug administration to treat postmenopausal women with hormone receptor positive and HER2 negative metastatic breast cancer. A cost-effectiveness analysis was conducted to determine whether everolimus represents good value for money, utilizing data from BOLERO-2. A decision-analytic model was used to estimate the incremental cost-effectiveness ratio between treatment arms of the BOLERO-2 trial. Costs were obtained from the Center for Medicare Services drug payment table and physician fee schedule. Benefits were expressed as quality-adjusted progression-free survival weeks (QAPFW) and quality-adjusted progression-free years (QAPFY), with utilities/disutilities derived from the literature. Deterministic and probabilistic sensitivity analyses were performed. A willingness to pay threshold of 1–3 times the per capita gross domestic product was adopted, as per the definition of the World Health Organization. The U.S. per capita gross domestic product in 2013 was


Health Expectations | 2015

Multicriteria decision analysis in oncology.

Georges Adunlin; Vakaramoko Diaby; Alberto J. Montero; Hong Xiao

49,965; thus, a threshold varying between


Applied Health Economics and Health Policy | 2011

An application of a proposed framework for formulary listing in low-income countries

Vakaramoko Diaby; J. Lachaine

49,965 and


Pharmaceutical medicine | 2011

A Proposed Framework for Formulary Listing in Low-Income Countries

Vakaramoko Diaby; Claudine Laurier; J. Lachaine

149,895 was considered. Everolimus/exemestane had an incremental benefit of 11.88 QAPFW (0.22 QAPFY) compared to exemestane and an incremental cost of


PLOS ONE | 2016

Preventing Unnecessary Costs of Drug-Induced Hypoglycemia in Older Adults with Type 2 Diabetes in the United States and Canada

Mathieu Boulin; Vakaramoko Diaby; Cara Tannenbaum

60,574. This translated into an ICER of


Current Medical Research and Opinion | 2016

Parameterization of a disease progression simulation model for sequentially treated metastatic human epidermal growth factor receptor 2 positive breast cancer patients

Vakaramoko Diaby; A.A. Ali; Georges Adunlin; Christine G. Kohn; Alberto J. Montero

265,498.5/QAPFY. Univariate sensitivity analyses showed important variations of the ICER, ranging between

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J. Lachaine

Université de Montréal

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