Evidence map›Paper›PMID 31244508›Full record

ArticleJournal of risk and uncertainty2018

Present bias and health.

Yang Wang, Frank A Sloan

Abstract read
In one paragraph

Article in Journal of risk and uncertainty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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  10. The hidden cost of sophistication: economic complexity and obesity.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yang WangRobert M. La Follette School of Public Affairs, University of Wisconsin-Madison, 1225 Observatory Drive, Madison, WI 53706, USA.
Frank A SloanDepartment of Economics, Duke University, 213 Social Sciences Building, Box 90097, Durham, NC 27708, USA.

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
VISUAL IMPAIRMENT, TREATMENT, AND EFFECTS ON THE ELDERLYR01AG017473 · NIA · DUKE UNIVERSITY · PI SLOAN, FRANK A · 2001 to 2012
$1.7M
NIA NIH HHS P30 AG017266NIA NIH HHS R01 AG017473
6 · The paper itself

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.

Indexed as

AdherenceDiabetesHyperbolic discountingNaivetePresent biasTime preference

Identifiers

PMID31244508
PMCPMC6594564

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.