Systematic review and validity assessment of methods used in discrete choice experiments of primary healthcare professionals

Merlo, Gregory; Driel, Mieke van; Hall, Lisa

doi:10.1186/s13561-020-00295-8

Cited by 21 publications

(17 citation statements)

References 54 publications

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“…Appointment availability waiting time and flexibility of PCP’s reception hours were seemingly unimportant to physicians and were only raised in the patients’ focus groups. This supports the recommendation [ 18 , 38 ] to identify attributes for DCE studies within a targeted population. In studies that examine patients’ preferences, in order to better understand patient attributes, it is not enough to conduct a literature review and consult physicians; the patients themselves need to be the main population identifying what is important to them.…”

Section: Discussionsupporting

confidence: 82%

“…Moreover, there are limited studies with validated attributes and levels among targeted populations; and in many studies, the working methods were insufficiently described and reported [ 18 , 19 ]. In addition, the Think Aloud method, which has the potential to deepen our understanding of the attributes and levels that influence patients’ choice, has also received scant research attention [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

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Patients’ preferences for telemedicine versus in-clinic consultation in primary care during the COVID-19 pandemic

et al. 2022

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Background The Hybrid Patient Care system integrates telehealth and in-clinic consultation. While COVID-19 increased telehealth use, healthcare providers are still seeking the best combination of virtual and in-clinic consultation. Understanding patients’ tele-consultation-related preferences is vital for achieving optimal implementation. The discrete choice experiment (DCE) is the stated preference technique for eliciting individual preferences and is increasingly being used in health-related applications. The study purpose was to evaluate attributes and levels of the DCE regarding patients’ preferences for telemedicine versus traditional, in-clinic consultation in primary care during the COVID-19 pandemic, in order to facilitate successful implementation. Methods A three-phase structure was used in the qualitative stage of the DCE: (1) a literature review and preparation of interview guides; (2) Eight focus group interviews comprised of 26 patients and 33 physicians; and (3) Attribute selection: a ranking exercise among 48 patients. The Think Aloud technique, in which respondents are asked to verbalize their thoughts, was used in the focus groups. Interview data were analyzed by thematic analysis. Results Eight attributes were proposed by the patients in the focus groups. The four most important attributes were then selected in pre-testing, and are described in this study: Availability, time until the appointment, severity of the medical problem, patient-physician relationship, and flexible reception hours. Conclusions This study has a theoretical contribution in post-COVID-19 patients’ preferences in Hybrid Medicine patient care. This provides a foundation to assess the rigors of this stage and provide additional evidence to the limited existing literature on attributes development for DCE patient preferences.

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Patients’ preferences for telemedicine versus in-clinic consultation in primary care during the COVID-19 pandemic

et al. 2022

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“…The discrete choice experiment (DCE) is a commonly used approach for eliciting patient preferences based on random utility theory [10][11][12]. In a DCE, respondents are asked to choose a preferred therapeutic option between two or more alternatives that mimic the real-world choices, described by several attributes and associated levels [11,[13][14][15]. Through the analysis of respondents' discrete choices, a DCE could estimate patients' latent preferences (known as part-worth utilities) associated with the descriptive attributes and their willingness-to-pay (WTP) for changes to the attribute levels [13,16].…”

Section: Key Points For Decision Makersmentioning

confidence: 99%

Patient Preferences in Targeted Pharmacotherapy for Cancers: A Systematic Review of Discrete Choice Experiments

Jiang

Ren

et al. 2022

PharmacoEconomics

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Background Targeted pharmacotherapy has been increasingly applied in cancer treatment due to its breakthroughs. However, the unmet needs of cancer patients are still significant, highlighting the urgency to investigate patient preferences. It is unclear how patients deliberate their choices between different aspects of targeted therapy, including cost, efficacy, and adverse events. Since discrete choice experiments (DCEs) have been widely applied to patient preference elicitation, we reviewed DCEs on targeted therapy for different cancers. We also synthesized evidence on the factors influencing patients' choices and their willingness-to-pay (WTP) for survival when treated by targeted therapy. Methods We searched databases, including PubMed, EMBASE and MEDLINE, up to August 16, 2022, supplemented by a reference screening. The attributes from the selected studies were categorized into three groups: outcomes, costs, and process. We also calculated the relative importance of attributes and WTP for survival whenever possible. The purpose, respondents, explanation, findings, significance (PREFS) checklist was used to evaluate the quality of the included DCE studies. Results The review identified 34 eligible studies from 13 countries covering 14 cancers, such as breast, ovarian, kidney, prostate, and skin cancers. It also reveals a rising trend of DCEs on this topic, as most studies were published after 2018. We found that patients placed higher weights on the outcome (e.g., overall survival) and cost attributes than on process attributes.

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“…The conditional logit is one of the common estimation models used for statistical analysis [21][22][23][24]. The selection set was estimated by a conditional logit regression model using Stata software.…”

Section: Discussionmentioning

confidence: 99%

Public Preferences and Willingness to Pay for a COVID-19 Vaccine in Iran: A Discrete Choice Experiment

Darrudi

Daroudi

Yunesian

et al. 2022

PharmacoEconomics Open

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Background and objective The coronavirus disease 2019 (COVID-19) pandemic is a major international threat and vaccination is the most robust strategy to terminate this crisis. It is helpful for policymakers to be aware of community preferences about vaccines. The present study aims to investigate the public’s preferences and willingness to pay for the COVID-19 vaccine in Iran. Methods This research is a cross-sectional study performed using a discrete choice experiment for a sample of the public population of several provinces of Iran in 2021. The samples were divided into two groups: one group expressed their preferences regarding the vaccine’s attributes, and another group expressed their preferences regarding prioritizing individuals to get the vaccine. The discrete choice experiment design included five attributes including effectiveness, risk of severe complications, price, location of vaccine production, and duration of protection related to preferences for vaccine selection and six attributes including age, underlying diseases, employment in the healthcare sector, the rate of virus spread, the necessary job, and cost to the community related to preferences for prioritizing individuals to get the vaccine. A total of 715 individuals completed the questionnaire. The conditional logit regression model was used to analyze the discrete choice experiment data. Willingness to pay for each attribute was also calculated. Results The willingness to pay for the COVID-19 vaccine with 90% (70%) efficacy, the risk of severe complications for 1 (5) person per one million people, imported (domestic) vaccine, and 24-month (12-month) duration of protection attributes was about US$71 (US$37). The preference for vaccination for respondents was enhanced by increasing the efficacy and the duration of vaccine protection and decreasing complications and costs. The likelihood of prioritizing individuals to get a vaccination was increased for a person with an underlying disease, employment in the healthcare sector, the necessary job for the community, the high potential for virus spread in the community, and the high cost of death to the community. The age variable was not statistically significant for prioritizing individuals to get the vaccine. Conclusions In the setting of the COVID-19 vaccination program, the public’s preferences identified in this study should be considered. The obtained results provide useful information for policymakers to identify individual and social values for an appropriate vaccination strategy. Supplementary Information The online version contains supplementary material available at 10.1007/s41669-022-00359-x.

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Systematic review and validity assessment of methods used in discrete choice experiments of primary healthcare professionals

Cited by 21 publications

References 54 publications

Patients’ preferences for telemedicine versus in-clinic consultation in primary care during the COVID-19 pandemic

Patients’ preferences for telemedicine versus in-clinic consultation in primary care during the COVID-19 pandemic

Patient Preferences in Targeted Pharmacotherapy for Cancers: A Systematic Review of Discrete Choice Experiments

Public Preferences and Willingness to Pay for a COVID-19 Vaccine in Iran: A Discrete Choice Experiment

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