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

scholarly journals Self-Monitoring App Preferences for Sun Protection: Discrete Choice Experiment Survey Analysis (Preprint)

2020 ◽  
Author(s):  
Vasileios Nittas ◽  
Margot Mütsch ◽  
Julia Braun ◽  
Milo Alan Puhan
Keyword(s):  
Health Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Sun Protection ◽  
Perceived Usefulness ◽  
Monitoring Method ◽  
Self Monitoring ◽  
Health Apps ◽  
The Way

BACKGROUND The availability and use of health apps continues to increase, revolutionizing the way mobile health interventions are delivered. Apps are increasingly used to prevent disease, improve well-being, and promote healthy behavior. On a similar rise is the incidence of skin cancers. Much of the underlying risk can be prevented through behavior change and adequate sun protection. Self-monitoring apps have the potential to facilitate prevention by measuring risk (eg, sun intensity) and encouraging protective behavior (eg, seeking shade). OBJECTIVE Our aim was to assess health care consumer preferences for sun protection with a self-monitoring app that tracks the duration and intensity of sun exposure and provides feedback on when and how to protect the skin. METHODS We conducted an unlabeled discrete choice experiment with 8 unique choice tasks, in which participants chose among 2 app alternatives, consisting of 5 preidentified 2-level attributes (self-monitoring method, privacy control, data sharing with health care provides, reminder customizability, and costs) that were the result of a multistep and multistakeholder qualitative approach. Participant preferences, and thus, the relative importance of attributes and their levels were estimated using conditional logit modeling. Analyses consisted of 200 usable surveys, yielding 3196 observations. RESULTS Our respondents strongly preferred automatic over manually operated self-monitoring (odds ratio [OR] 2.37, 95% CI 2.06-2.72) and no cost over a single payment of 3 Swiss francs (OR 1.72, 95% CI 1.49-1.99). They also preferred having over not having the option of sharing their data with a health care provider of their choice (OR 1.66, 95% CI 1.40-1.97), repeated over single user consents, whenever app data are shared with commercial thirds (OR 1.57, 95% CI 1.31-1.88), and customizable over noncustomizable reminders (OR 1.30, 95% CI 1.09-1.54). While most participants favored thorough privacy infrastructures, the attribute of privacy control was a relatively weak driver of app choice. The attribute of self-monitoring method significantly interacted with gender and perceived personal usefulness of health apps, suggesting that female gender and lower perceived usefulness are associated with relatively weaker preferences for automatic self-monitoring. CONCLUSIONS Based on the preferences of our respondents, we found that the utility of a self-monitoring sun protection app can be increased if the app is simple and adjustable; requires minimal effort, time, or expense; and has an interoperable design and thorough privacy infrastructure. Similar features might be desirable for preventive health apps in other areas, paving the way for future discrete choice experiments. Nonetheless, to fully understand these preference dynamics, further qualitative or mixed method research on mobile self-monitoring-based sun protection and broader preventive mobile self-monitoring is required. INTERNATIONAL REGISTERED REPORT RR2-10.2196/16087

scholarly journals Self-Monitoring App Preferences for Sun Protection: Discrete Choice Experiment Survey Analysis

10.2196/18889 ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. e18889
Author(s):  
Vasileios Nittas ◽  
Margot Mütsch ◽  
Julia Braun ◽  
Milo Alan Puhan
Keyword(s):  
Health Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Sun Protection ◽  
Perceived Usefulness ◽  
Monitoring Method ◽  
Self Monitoring ◽  
Health Apps ◽  
The Way

Background The availability and use of health apps continues to increase, revolutionizing the way mobile health interventions are delivered. Apps are increasingly used to prevent disease, improve well-being, and promote healthy behavior. On a similar rise is the incidence of skin cancers. Much of the underlying risk can be prevented through behavior change and adequate sun protection. Self-monitoring apps have the potential to facilitate prevention by measuring risk (eg, sun intensity) and encouraging protective behavior (eg, seeking shade). Objective Our aim was to assess health care consumer preferences for sun protection with a self-monitoring app that tracks the duration and intensity of sun exposure and provides feedback on when and how to protect the skin. Methods We conducted an unlabeled discrete choice experiment with 8 unique choice tasks, in which participants chose among 2 app alternatives, consisting of 5 preidentified 2-level attributes (self-monitoring method, privacy control, data sharing with health care provides, reminder customizability, and costs) that were the result of a multistep and multistakeholder qualitative approach. Participant preferences, and thus, the relative importance of attributes and their levels were estimated using conditional logit modeling. Analyses consisted of 200 usable surveys, yielding 3196 observations. Results Our respondents strongly preferred automatic over manually operated self-monitoring (odds ratio [OR] 2.37, 95% CI 2.06-2.72) and no cost over a single payment of 3 Swiss francs (OR 1.72, 95% CI 1.49-1.99). They also preferred having over not having the option of sharing their data with a health care provider of their choice (OR 1.66, 95% CI 1.40-1.97), repeated over single user consents, whenever app data are shared with commercial thirds (OR 1.57, 95% CI 1.31-1.88), and customizable over noncustomizable reminders (OR 1.30, 95% CI 1.09-1.54). While most participants favored thorough privacy infrastructures, the attribute of privacy control was a relatively weak driver of app choice. The attribute of self-monitoring method significantly interacted with gender and perceived personal usefulness of health apps, suggesting that female gender and lower perceived usefulness are associated with relatively weaker preferences for automatic self-monitoring. Conclusions Based on the preferences of our respondents, we found that the utility of a self-monitoring sun protection app can be increased if the app is simple and adjustable; requires minimal effort, time, or expense; and has an interoperable design and thorough privacy infrastructure. Similar features might be desirable for preventive health apps in other areas, paving the way for future discrete choice experiments. Nonetheless, to fully understand these preference dynamics, further qualitative or mixed method research on mobile self-monitoring-based sun protection and broader preventive mobile self-monitoring is required. International Registered Report Identifier (IRRID) RR2-10.2196/16087

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 of psychotherapists for blended mental health interventions in Germany: a discrete choice experiment

2021 ◽  
Author(s):  
Elena Phillips ◽  
Sebastian Himmler ◽  
Jonas Schreyögg
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Health Care Providers ◽  
Choice Experiment ◽  
Financial Incentive ◽  
Care Providers ◽  
Choice Data

Abstract Objectives: Digital treatment formats are emerging within mental health care. Evidence suggests that mental health care providers and recipients prefer a combination of digital and traditional elements within psychotherapy treatment formats, also called blended care (BC), over standalone digital formats. We examined the attitudes and preferences of licensed psychotherapists in Germany regarding such BC applications.Methods: We fielded a survey among psychotherapists, including questions about attitudes, previous experiences, and expectations regarding BC, as well as a discrete choice experiment. Attributes for the experiment were developed using a stepwise qualitative approach. A Bayesian D-efficient design was used to generate the choice tasks. The choice data were analyzed by applying mixed logit models.Results: The survey was completed by 200 psychotherapists. Attitudes towards BC were mainly positive, with strong reported intentions to use BC formats. In the choice experiment, recommendation from a professional society for a BC online component was the most important characteristic. Greater effectiveness and a larger share of face-to-face vs. online time were also desired features, while a financial incentive to use BC was less relevant.

scholarly journals Patient preferences for use of virtual consultations in an orthopaedic rehabilitation setting: Results from a discrete choice experiment

2021 ◽  
pp. 135581962110354
Author(s):  
Anthony W Gilbert ◽  
Emmanouil Mentzakis ◽  
Carl R May ◽  
Maria Stokes ◽  
Jeremy Jones
Keyword(s):  
Conceptual Model ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Best Practice ◽  
Time Of Day ◽  
Problem Area ◽  
Fractional Factorial ◽  
The Impact

Objective Virtual Consultations may reduce the need for face-to-face outpatient appointments, thereby potentially reducing the cost and time involved in delivering health care. This study reports a discrete choice experiment (DCE) that identifies factors that influence patient preferences for virtual consultations in an orthopaedic rehabilitation setting. Methods Previous research from the CONNECT (Care in Orthopaedics, burdeN of treatmeNt and the Effect of Communication Technology) Project and best practice guidance informed the development of our DCE. An efficient fractional factorial design with 16 choice scenarios was created that identified all main effects and partial two-way interactions. The design was divided into two blocks of eight scenarios each, to reduce the impact of cognitive fatigue. Data analysis were conducted using binary logit regression models. Results Sixty-one paired response sets (122 subjects) were available for analysis. DCE factors (whether the therapist is known to the patient, duration of appointment, time of day) and demographic factors (patient qualifications, access to equipment, difficulty with activities, multiple health issues, travel costs) were significant predictors of preference. We estimate that a patient is less than 1% likely to prefer a virtual consultation if the patient has a degree, is without access to the equipment and software to undertake a virtual consultation, does not have difficulties with day-to-day activities, is undergoing rehabilitation for one problem area, has to pay less than £5 to travel, is having a consultation with a therapist not known to them, in 1 weeks’ time, lasting 60 minutes, at 2 pm. We have developed a simple conceptual model to explain how these factors interact to inform preference, including patients’ access to resources, context for the consultation and the requirements of the consultation. Conclusions This conceptual model provides the framework to focus attention towards factors that might influence patient preference for virtual consultations. Our model can inform the development of future technologies, trials, and qualitative work to further explore the mechanisms that influence preference.

scholarly journals Varying Opinions on Who Deserves Collectively Financed Health Care Services: A Discrete Choice Experiment on Allocation Preferences of the General Public

2018 ◽  
Vol 55 ◽  
pp. 004695801775198
Author(s):  
Maartje J. van der Aa ◽  
Aggie T. G. Paulus ◽  
Mickaël J. C. Hiligsmann ◽  
Johannes A. M. Maarse ◽  
Silvia M. A. A. Evers
Keyword(s):  
Health Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
General Public ◽  
Choice Experiment ◽  
Access To Health Care ◽  
Health Care Services ◽  
Insurance Coverage ◽  
Financial Capacity ◽  
Medical Needs

In Europe, health insurance arrangements are under reform. These arrangements redistribute collectively financed resources to ensure access to health care for all. Allocation of health services is historically based on medical needs, but use of other criteria, such as lifestyle, is debated upon. Does the general public also have preferences for conditional allocation? This depends on their opinions regarding deservingness. The aim of this study was to gain insight in those opinions, specifically by examining the perceived weight of different criteria in allocation decisions. Based on literature and expert interviews, we included 5 criteria in a discrete choice experiment: need, financial capacity, lifestyle, cooperation with treatment, and package/premium choice. A representative sample of the Dutch population was invited to participate (n = 10 760). A total of 774 people accessed the questionnaire (7.2%), of whom 375 completed it (48.4%). Medical need was overall the most important criterion in determining deservingness (range β = 1.60). Perceived deservingness decreased if claimants had higher financial capacity (1.26) and unhealthier lifestyle (1.04), if their cooperation was less optimal (1.05), or if they had opted for less insurance coverage (0.56). However, preferences vary among respondents, in relation to demographic and ideological factors.

scholarly journals Designing a brief behaviour change intervention to reduce sexually transmitted infections: a discrete choice experiment

2018 ◽  
Vol 29 (9) ◽  
pp. 851-860 ◽  
Author(s):  
Alec Miners ◽  
Carrie Llewellyn ◽  
Carina King ◽  
Alex Pollard ◽  
Anupama Roy ◽  
...  
Keyword(s):  
Health Care ◽  
Sexually Transmitted Infections ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Important Determinant ◽  
Behavioural Change ◽  
Behaviour Change Intervention ◽  
Sexually Transmitted ◽  
Sex With Men

To understand whether people attending sexual health (SH) clinics are willing to participate in a brief behavioural change intervention (BBCI) to reduce the likelihood of future sexually transmitted infections (STIs) and to understand their preferences for different service designs, we conducted a discrete choice experiment (DCE) with young heterosexual adults (aged 16–25 years), and men who have sex with men (MSM) aged 16 or above, attending SH clinics in England. Data from 368 participants showed that people particularly valued BBCIs that involved talking (OR 1.45; 95%CI 1.35, 1.57 compared with an ‘email or text’-based BBCIs), preferably with a health care professional rather than a peer. Findings also showed that 26% of respondents preferred ‘email/texts’ to all other options; the remaining 14% preferred not to participate in any of the offered BBCIs. These results suggest that most people attending SH clinics in England are likely to participate in a BBCI if offered, but the type/format of the BBCI is likely to be the single important determinant of uptake rather than characteristics such as the length and the number of sessions. Moreover, participants generally favoured ‘talking’-based options rather than digital alternatives, which are likely to require the most resources to implement.

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