scholarly journals Attributes Underlying Patient Choice for Telerehabilitation Treatment: A Mixed-Methods Systematic Review to Support a Discrete Choice Experiment Study Design

2021 ◽  
Author(s):  
Lucien P. Coulibaly ◽  
Thomas G. Poder ◽  
Michel Tousignant
Keyword(s):  
Systematic Review ◽  
Mixed Methods ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Study Design ◽  
Choice Experiment ◽  
Patient Choice ◽  
Care Providers ◽  
Physician Contact ◽  
Contact Frequency

Background: Across most healthcare systems, patients are the primary focus. Patient involvements enhance their adherence to treatment, which in return, influences their health. The objective of this study was to determine the characteristics (i.e., attributes) and associated levels (i.e., values of the characteristics) that are the most important for patients regarding telerehabilitation healthcare to support a future discrete choice experiment (DCE) study design. Methods: A mixed-methods systematic review was conducted from January 2005 to the end of July 2020 and the search strategy was applied to five different databases. The initial selection of articles that met the eligibility criteria was independently made by one researcher, two researchers verified the accuracy of the extracted data, and all researchers discussed about relevant variables to include. Reporting of this systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and the Mixed Methods Appraisal Tool was used to assess the quality of the study. A qualitative synthesis was used to summarize findings. Results: From a total of 928 articles, 11 [qualitative (n=5), quantitative (n= 3) and mixed-methods (n= 3) design] were included, and 25 attributes were identified and grouped into 13 categories: Accessibility, Distance, Interaction, Technology experience, Treatment mode, Treatment location, Physician contact mode, Physician contact frequency, Cost, Confidence, Ease of use, Feeling safer, and Training session. The attributes levels varied from two to five. The DCE studies identified showed the main stages to undertake these types of studies. Conclusion: This study could guide the development of interview grid for individual interviews and focus groups to support a DCE study design in the telerehabilitation field. By understanding the characteristics that enhance patients’ preferences, health care providers can create or improve telerehabilitation programs that provide high-quality and accessible care. Future research via a DCE is needed to determine the relative importance of the attributes.

scholarly journals Personal health records in the Netherlands: potential user preferences quantified by a discrete choice experiment

2016 ◽  
Vol 24 (3) ◽  
pp. 529-536 ◽  
Author(s):  
Domino Determann ◽  
Mattijs S Lambooij ◽  
Dorte Gyrd-Hansen ◽  
Esther W de Bekker-Grob ◽  
Ewout W Steyerberg ◽  
...  
Keyword(s):  
Health Care ◽  
Data Storage ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Health Care Providers ◽  
Choice Experiment ◽  
Personal Health Records ◽  
Personal Health ◽  
Care Providers ◽  
Health Records

Objective: To identify groups of potential users based on their preferences for characteristics of personal health records (PHRs) and to estimate potential PHR uptake. Methods: We performed a discrete choice experiment, which consisted of 12 choice scenarios, each comprising 2 hypothetical PHR alternatives and an opt-out. The alternatives differed based on 5 characteristics. The survey was administered to Internet panel members of the Dutch Federation of Patients and Consumer Organizations. We used latent class models to analyze the data. Results: A total of 1,443 potential PHR users completed the discrete choice experiment. We identified 3 latent classes: “refusers” (class probability 43%), “eager adopters” (37%), and “reluctant adopters” (20%). The predicted uptake for the reluctant adopters ranged from 4% in the case of a PHR with the worst attribute levels to 68% in the best case. Those with 1 or more chronic diseases were significantly more likely to belong to the eager adopter class. The data storage provider was the most decisive aspect for the eager and reluctant adopters, while cost was most decisive for the refusers. Across all classes, health care providers and independent organizations were the most preferred data storage providers. Conclusion: We identified 3 groups, of which 1 group (more than one-third of potential PHR users) indicated great interest in a PHR irrespective of PHR characteristics. Policymakers who aim to expand the use of PHRs will be most successful when health care providers and health facilities or independent organizations store PHR data while refraining from including market parties.

scholarly journals Preferences for Sun Protection With a Self-Monitoring App: Protocol of a Discrete Choice Experiment Study

10.2196/16087 ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. e16087 ◽  
Author(s):  
Vasileios Nittas ◽  
Margot Mütsch ◽  
Milo Alan Puhan
Keyword(s):  
Health Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Sun Protection ◽  
Fractional Factorial ◽  
Rapid Review ◽  
Care Providers ◽  
Self Monitoring ◽  
Ongoing Research

Background The incidence of sun-exposure-related skin conditions, such as melanoma, is a gradually increasing and largely preventable public health problem. Simultaneously, the availability of mobile apps that enable the self-monitoring of health behavior and outcomes is ever increasing. Inevitably, recent years have seen an emerging volume of electronic patient-generated health data (PGHD), as well as their targeted application across primary prevention areas, including sun protection and skin health. Despite their preventive potential, the actual impact of these apps relies on the engagement of health care consumers, who are primarily responsible for recording, sharing, and using their PGHD. Exploring preferences is a key step toward facilitating consumer engagement and ultimately realizing their potential. Objective This paper describes an ongoing research project that aims to elicit the preferences of health care consumers for sun protection via app-based self-monitoring. Methods A discrete choice experiment (DCE) will be conducted to explore how healthy consumers choose between two alternative preventive self-monitoring apps. DCE development and attribute selection were built on extensive qualitative work, consisting of the secondary use of a previously conducted scoping review, a rapid review of reviews, 13 expert interviews, and 12 health care consumer interviews, the results of which are reported in this paper. Following D-optimality criteria, a fractional factorial survey design was generated. The final DCE will be administered in the waiting room of a travel clinic, targeting a sample of 200 participants. Choice data will be analyzed with conditional logit and multinomial logit models, accounting for individual participant characteristics. Results An ethics approval was waived by the Ethics Committee Zurich. The study started in September 2019 and estimated data collection and completion is set for January 2020. Five two-level attributes have been selected for inclusion in the DCE, addressing (1) data generation methods, (2) privacy control, (3) data sharing with general practitioner, (4) reminder timing, and (5) costs. Data synthesis, analysis, and reporting are planned for January and February 2020. Results are expected to be submitted for publication by February 2020. Conclusions Our results will target technology developers, health care providers, and policy makers, potentially offering some guidance on how to design or use sun-protection-focused self-monitoring apps in ways that are responsive to consumer preferences. Preferences are ultimately linked to engagement and motivation, which are key elements for the uptake and success of digital health. Our findings will inform the design of person-centered apps, while also inspiring future preference-eliciting research in the field of emerging and complex eHealth services. International Registered Report Identifier (IRRID) PRR1-10.2196/16087

Cultural bequest values for ecosystem service flows among indigenous fishers: A discrete choice experiment validated with mixed methods

2015 ◽  
Vol 114 ◽  
pp. 104-116 ◽  
Author(s):  
Kirsten L.L. Oleson ◽  
Michele Barnes ◽  
Luke M. Brander ◽  
Thomas A. Oliver ◽  
Ingrid van Beek ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Ecosystem Service ◽  
Choice Experiment

scholarly journals RM3 - IS PATIENT CHOICE PREDICTABLE? THE IMPACT OF DISCRETE CHOICE EXPERIMENT DESIGNS AND MODELS

2018 ◽  
Vol 21 ◽  
pp. S14
Author(s):  
Bekker-Grob E.W. De ◽  
J. Swait ◽  
Kassahun H. Tilahun ◽  
M.C. Bliemer ◽  
M.F. Jonker ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Patient Choice ◽  
The Impact

scholarly journals Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic Review

2017 ◽  
Vol 2 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Kabindra Regmi ◽  
Dinesh Kaphle ◽  
Sabina Timilsina ◽  
Nik Annie Afiqah Tuha
Keyword(s):  
Systematic Review ◽  
Tobacco Control ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment
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