When designing a DCE, attributes and levels must be determined and the type of models to be used need to be chosen (Johnson et al., 2013).
As suggested by the ISPOR Guidelines for DCEs and conjoint analysis applications in health (Bridges et al., 2011; Johnson et al., 2013), the attributes and levels of this DCE have be chosen based on scientific literature comparing different cardiac imaging modalities used for the diagnosis of coronary heart disease, as well as a preliminary qualitative investigation that includes observatory fieldwork, and consultations with patients and doctors (Pinto et al., 2017). Undertaking preliminary qualitative research that incorporates a thorough literature review to establish what to key ‘stakeholders’ and to …show more content…
This approach has been shown to be useful to refine DCE attributes and levels as well as to ensure comprehensible survey terminology (Vass et al., 2017).
1.1.1. Key Informants
Eligible key informants for the preliminary qualitative interviews followed the same eligibility criteria as participants eligible to complete the DCE questionnaire (see section 3.6). Key informants were recruited through a purposeful sampling strategy, which has been suggested to be particularly useful in qualitative descriptive studies to ensure maximum variation (Creswell & Poth, 2017). Prior research using qualitative interviews to guide DCEs showed that 10 to 15 participants would be sufficient to reach data saturation (Coast et al., 2004).
1.1.2. Qualitative …show more content…
Interviews were based on an interview guide that included discussion topics such as (1) their overall expectations and experiences with cardiac imaging modalities, (2) any knowledge about available cardiac imaging modalities, and (3) the factors that may guide their preference or decision-making in relation to cardiac imaging modalities. These interviews have been conducted in-person by Thomas Bertrand. Interviewees were also asked to refine language choice, provide a range of meaningful attribute levels, and rank levels from lowest to highest. All key information from interviews was recorded, and an inductive constant comparative analysis method has been conducted. This analysis method was especially useful in reviewing interview information to verify and develop extracted attributes and levels. Information gathered reflected patterns of explicit content, thus reducing the chances for implicit bias, and the interview content provided more systematic and transparent information (Joffe & Yardley, 2004). This qualitative investigation allowed the identification of a comprehensive range of patient and physician healthcare-related characteristics that influence their preference for features of cardiac imaging modalities (Vass et al.,
As suggested by the ISPOR Guidelines for DCEs and conjoint analysis applications in health (Bridges et al., 2011; Johnson et al., 2013), the attributes and levels of this DCE have be chosen based on scientific literature comparing different cardiac imaging modalities used for the diagnosis of coronary heart disease, as well as a preliminary qualitative investigation that includes observatory fieldwork, and consultations with patients and doctors (Pinto et al., 2017). Undertaking preliminary qualitative research that incorporates a thorough literature review to establish what to key ‘stakeholders’ and to …show more content…
This approach has been shown to be useful to refine DCE attributes and levels as well as to ensure comprehensible survey terminology (Vass et al., 2017).
1.1.1. Key Informants
Eligible key informants for the preliminary qualitative interviews followed the same eligibility criteria as participants eligible to complete the DCE questionnaire (see section 3.6). Key informants were recruited through a purposeful sampling strategy, which has been suggested to be particularly useful in qualitative descriptive studies to ensure maximum variation (Creswell & Poth, 2017). Prior research using qualitative interviews to guide DCEs showed that 10 to 15 participants would be sufficient to reach data saturation (Coast et al., 2004).
1.1.2. Qualitative …show more content…
Interviews were based on an interview guide that included discussion topics such as (1) their overall expectations and experiences with cardiac imaging modalities, (2) any knowledge about available cardiac imaging modalities, and (3) the factors that may guide their preference or decision-making in relation to cardiac imaging modalities. These interviews have been conducted in-person by Thomas Bertrand. Interviewees were also asked to refine language choice, provide a range of meaningful attribute levels, and rank levels from lowest to highest. All key information from interviews was recorded, and an inductive constant comparative analysis method has been conducted. This analysis method was especially useful in reviewing interview information to verify and develop extracted attributes and levels. Information gathered reflected patterns of explicit content, thus reducing the chances for implicit bias, and the interview content provided more systematic and transparent information (Joffe & Yardley, 2004). This qualitative investigation allowed the identification of a comprehensive range of patient and physician healthcare-related characteristics that influence their preference for features of cardiac imaging modalities (Vass et al.,