Literature DB >> 31244508

Present bias and health.

Yang Wang1, Frank A Sloan2.   

Abstract

This study uses a dynamic discrete choice model to examine the degree of present bias and naivete about present bias in individuals' health care decisions. Clinical guidelines exist for several common chronic diseases. Although the empirical evidence for some guidelines is strong, many individuals with these diseases do not follow the guidelines. Using persons with diabetes as a case study, we find evidence of substantial present bias and naivete. Counterfactual simulations indicate the importance of present bias and naivete in explaining low adherence rates to health care guidelines.

Entities:  

Keywords:  Adherence; Diabetes; Hyperbolic discounting; Naivete; Present bias; Time preference

Year:  2018        PMID: 31244508      PMCID: PMC6594564          DOI: 10.1007/s11166-018-9289-z

Source DB:  PubMed          Journal:  J Risk Uncertain        ISSN: 0895-5646


  9 in total

1.  A qualitative exploration of health-related present bias among HIV-positive adults in Uganda.

Authors:  Sarah MacCarthy; Alexandra Mendoza-Graf; Larissa Jennings Mayo-Wilson; Zachary Wagner; Uzaib Saya; Harriet Chemusto; Barbara Mukasa; Sebastian Linnemayr
Journal:  AIDS Care       Date:  2021-11-21

2.  The link between health and economic preferences: Evidence from 22 OECD countries.

Authors:  Xi Cen; David W Johnston; Claryn S J Kung; Michael A Shields; Eric C Sun
Journal:  Health Econ       Date:  2021-01-27       Impact factor: 3.046

3.  Examining the effect of underlying individual preferences for present over future on lung cancer screening participation: a cross-sectional analysis of a Korean National Cancer Screening Survey.

Authors:  Jaeho Lee; Yeol Kim; Mina Suh; Seri Hong; Kui Son Choi
Journal:  BMJ Open       Date:  2020-07-23       Impact factor: 2.692

4.  A COVID-19-Based Modified Epidemiological Model and Technological Approaches to Help Vulnerable Individuals Emerge from the Lockdown in the UK.

Authors:  Dario Ortega Anderez; Eiman Kanjo; Ganna Pogrebna; Omprakash Kaiwartya; Shane D Johnson; John Alan Hunt
Journal:  Sensors (Basel)       Date:  2020-09-02       Impact factor: 3.576

5.  Patient-reported Reasons for Stopping Care or Switching Clinics in Zambia: A Multisite, Regionally Representative Estimate Using a Multistage Sampling-based Approach in Zambia.

Authors:  Izukanji Sikazwe; Ingrid Eshun-Wilson; Kombatende Sikombe; Laura K Beres; Paul Somwe; Aaloke Mody; Sandra Simbeza; Chama Bukankala; David V Glidden; Lloyd B Mulenga; Nancy Padian; Peter Ehrenkranz; Carolyn Bolton-Moore; Charles B Holmes; Elvin H Geng
Journal:  Clin Infect Dis       Date:  2021-10-05       Impact factor: 20.999

6.  The Effect of a Future-Self Avatar Mobile Health Intervention (FutureMe) on Physical Activity and Food Purchases: Randomized Controlled Trial.

Authors:  Annette Mönninghoff; Klaus Fuchs; Jing Wu; Jan Albert; Simon Mayer
Journal:  J Med Internet Res       Date:  2022-07-07       Impact factor: 7.076

7.  Lay perceptions of diabetes mellitus and prevention costs and benefits among adults undiagnosed with the condition in Singapore: a qualitative study.

Authors:  Jumana Hashim; Helen Elizabeth Smith; E Shyong Tai; Huso Yi
Journal:  BMC Public Health       Date:  2022-08-20       Impact factor: 4.135

8.  Impact of a Multicomponent Digital Therapeutic Mobile App on Medication Adherence in Patients with Chronic Conditions: Retrospective Analysis.

Authors:  Elyssa Wiecek; Andrea Torres-Robles; Rachelle Louise Cutler; Shalom Isaac Benrimoj; Victoria Garcia-Cardenas
Journal:  J Med Internet Res       Date:  2020-08-12       Impact factor: 5.428

9.  Time preferences and their life outcome correlates: Evidence from a representative survey.

Authors:  Dániel Horn; Hubert János Kiss
Journal:  PLoS One       Date:  2020-07-30       Impact factor: 3.240

  9 in total

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