This qualitative study provides enough evidence for designing and doing a precise discrete choice experiment answering the question about public preferences in pharmaceutical subsidization and contributes empirical evidence to the limited methodological literature on attributes development for DCE, specifically within low and middle-income countries.Īttribute and attribute-level Discrete choice experiment Pharmaceutical subsidization Qualitative research. However, for being manageable within a DCE, they were classified and limited to four attributes, including severity of disease without treatment, health gain after treatment, frequency of patients, and cost of treatment per patient. Searching for an alternative to NVivo, MAXQDA or others - Atlas.ti is your powerful workbench for Qualitative Analysis of Textual Audio & Video. The 311 codes in four main dimensions were initially identified by conducting interviews. Qualitative data for the development of attributes and their levels were collected using 16 key informant interviews and were analyzed by software MAXQDA followed by a focus group discussion (FGD) with 7 people, well-familiar with the notion pharmaceutical policy and Pharmacoeconomics. MAXQDA is described as for Windows and Mac is a professional software for qualitative and mixed methods data analysis. Initially, by conducting a meticulous literature review, an inclusive list of attributes associated with intended policy was identified. Sixteen participants had been key informants and decision makers of pharmaceutical and health system. A qualitative study used semi-structured interviews, which were audio recorded, transcribed and subject to thematic analysis. MAXQDA is at once powerful and easy-to-use, innovative and user-friendly, as well as the only leading QDA software that is 100 identical on Windows and Mac. This paper responds to such question by carefully doing a qualitative study. Our goal is to provide software pricing at a significant discount compared to vendors regular academic pricing, and to distribute software to subscribers. Although, the validity of this type of studies comprehensively depends on the appropriate determination of attributes and attribute-levels for DCES, there is little rigorous evidence regarding which factors or attributes and attribute- levels should be counted for eliciting public preferences in health resource allocation. Discrete choice experiments (DCES) as a stated preference method have used increasingly to determine preferences attached to some attributes associated to health. Available at over 90 off retail price, the DecisionTools Suite Student Version is for full-time and part-time students.
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