143-OR: Financial Incentives to Promote Adolescent Adherence to Type 1 Diabetes Self-Care: A Discrete Choice Experiment

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 143-OR
Author(s):  
DAVENE WRIGHT ◽  
KRISTEN CHALMERS ◽  
JESSICA L. LEBLANC ◽  
JOYCE YI-FRAZIER ◽  
SEEMA K. SHAH ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Financial Incentives ◽  
Choice Experiment ◽  
Self Care

Preferences for treatment among adolescents with Type 1 diabetes: a national study using a discrete choice experiment model

2018 ◽  
Vol 35 (5) ◽  
pp. 621-629
Author(s):  
G. Forsander ◽  
S. Stallknecht ◽  
U. Samuelsson ◽  
C. Marcus ◽  
M. Bøgelund
Keyword(s):  
Type 1 Diabetes ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
National Study

The preferences of young adults with Type 1 diabetes at clinics using a discrete choice experiment approach: the D1 Now Study

2018 ◽  
Vol 35 (12) ◽  
pp. 1686-1692 ◽  
Author(s):  
L. Mc Morrow ◽  
M. C. O’ Hara ◽  
L. Hynes ◽  
Á. Cunningham ◽  
A. Caulfield ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Young Adults ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment

PR3 Identifying Preferences for Closed-Loop Insulin Systems Among Children with Type 1 Diabetes and Their Parents: A Discrete Choice Experiment

2021 ◽  
Vol 24 ◽  
pp. S196-S197
Author(s):  
M. Kelley ◽  
P. Wadwa ◽  
B. Buckingham ◽  
A. Thankamony ◽  
F. Campbell ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Closed Loop

scholarly journals Strategies to increase downloads of COVID–19 exposure notification apps: A discrete choice experiment

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258945
Author(s):  
Jemima A. Frimpong ◽  
Stéphane Helleringer
Keyword(s):  
Decision Making ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Financial Incentives ◽  
Choice Experiment ◽  
Real Life ◽  
Contact Tracing ◽  
Reference Scenario ◽  
Pragmatic Trials ◽  
The Us

Exposure notification apps have been developed to assist in notifying individuals of recent exposures to SARS-CoV-2. However, in several countries, such apps have had limited uptake. We assessed whether strategies to increase downloads of exposure notification apps should emphasize improving the accuracy of the apps in recording contacts and exposures, strengthening privacy protections and/or offering financial incentives to potential users. In a discrete choice experiment with potential app users in the US, financial incentives were more than twice as important in decision-making about app downloads, than privacy protections, and app accuracy. The probability that a potential user would download an exposure notification app increased by 40% when offered a $100 reward to download (relative to a reference scenario in which the app is free). Financial incentives might help exposure notification apps reach uptake levels that improve the effectiveness of contact tracing programs and ultimately enhance efforts to control SARS-CoV-2. Rapid, pragmatic trials of financial incentives for app downloads in real-life settings are warranted.

A Text Messaging Intervention with Financial Incentive for Adolescents with Type 1 Diabetes

2020 ◽  
pp. 193229682095278
Author(s):  
Tara Kaushal ◽  
Lorraine E. Levitt Katz ◽  
Janet Joseph ◽  
Michelle Marowitz ◽  
Knashawn H. Morales ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Financial Incentives ◽  
Text Messaging ◽  
Intervention Group ◽  
Self Care ◽  
Suboptimal Control ◽  
Significant Difference ◽  
The Impact

Background: Adolescents with type 1 diabetes (T1D) have higher hemoglobin A1C (HbA1c) levels than others. In general, adolescents engage with text messaging (TM) and financial incentives, both associated with improved diabetes outcomes. This study aimed to assess the impact of a TM intervention with financial incentives on self-care behaviors and HbA1c. Methods: A six-month randomized controlled trial compared MyDiaText™, a TM education and support application, with standard care. The sample included 166 teens with T1D, 12-18 years old, attending a diabetes clinic. The intervention group received one daily TM and were instructed to respond. Participants who responded to TMs for the most consecutive days were eligible for a financial reward biweekly via lottery. All participants received prompts to complete the self-care inventory (SCI) at baseline, 90, and 180 days. HbA1c was collected at clinic visits. Changes in SCI and HbA1c were analyzed using a multilevel mixed-effects linear regression model. Intention-to-treat and per-protocol analyses were performed. Results: The median TM response rate was 59% (interquartile range 40.1%-85.2%) and decreased over time. After adjustment for baseline characteristics, in per-protocol analysis, there was a statistically significant difference in SCI score increase in those receiving one TM per day vs control ( P = .035). HbA1c decreased overall, without significant difference between groups ( P = .786). Conclusions: A TM intervention with financial incentives for adolescents with T1D in suboptimal control was associated with increasing self-care report; however, glycemic control did not differ from controls. Further research is needed to develop digital health interventions that will impact glycemic control.

scholarly journals Parental Preferences for the Organization of Preschool Vaccination Programs Including Financial Incentives: A Discrete Choice Experiment

2017 ◽  
Vol 2 (1) ◽  
pp. 238146831770831
Author(s):  
Darren Flynn ◽  
Laura Ternent ◽  
Frauke Becker ◽  
Yemi Oluboyede ◽  
Jean Adams
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Financial Incentives ◽  
Choice Experiment ◽  
Vaccination Programs ◽  
Parental Preferences

scholarly journals Acceptability of Financial Incentives for Health Behaviours: A Discrete Choice Experiment

PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0157403 ◽  
Author(s):  
Emma L. Giles ◽  
Frauke Becker ◽  
Laura Ternent ◽  
Falko F. Sniehotta ◽  
Elaine McColl ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Financial Incentives ◽  
Choice Experiment ◽  
Health Behaviours

scholarly journals Valuing EQ-5D-Y-3L Health States Using a Discrete Choice Experiment: Do Adult and Adolescent Preferences Differ?

2021 ◽  
pp. 0272989X2199960
Author(s):  
David J. Mott ◽  
Koonal K. Shah ◽  
Juan Manuel Ramos-Goñi ◽  
Nancy J. Devlin ◽  
Oliver Rivero-Arias
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Mixed Logit ◽  
Self Care ◽  
Attribute Importance ◽  
Health States ◽  
Two Samples ◽  
Value Sets ◽  
Anxiety Depression

Background An important question in the valuation of children’s health is whether the preferences of younger individuals should be captured within value sets for measures that are aimed at them. This depends on whether younger individuals can complete valuation exercises and whether their preferences differ from those of adults. This study compared the preferences of adults and adolescents for EQ-5D-Y-3L health states using latent scale values elicited from a discrete choice experiment (DCE). Methods An online DCE survey, comprising 15 pairwise choices, was provided to samples of UK adults and adolescents (aged 11–17 y). Adults considered the health of a 10-year-old child, whereas adolescents considered their own health. Mixed logit models were estimated, and comparisons were made using relative attribute importance (RAI) scores and a pooled model. Results In total, 1000 adults and 1005 adolescents completed the survey. For both samples, level 3 in pain/discomfort was most important, and level 2 in self-care the least important, based on the relative magnitudes of coefficients. The RAI scores (normalized on self-care) indicated that adolescents gave less weight relative to adults to usual activities (1.18 v. 1.51; P < 0.05), pain/discomfort (1.77 v. 3.12; P < 0.01), and anxiety/depression (1.64 vs. 2.65; P < 0.01). The pooled model indicated evidence of differences between the two samples in both levels in pain/discomfort and anxiety/depression. Limitations The perspective of the DCE task differed between the 2 samples, and no data were collected to anchor the DCE data to generate value sets. Conclusions Adolescents could complete the DCE, and their preferences differed from those of adults taking a child perspective. It is important to consider whether their preferences should be incorporated into value sets.

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