ArticlePerspectives on behavior science2021
A Behavioral Economic Model of Help-Seeking for Depression.
Article in Perspectives on behavior science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach.Frontiers in public health · 2024Trial
- Cognitive-attitudinal factors predict CBT-I enrollment willingness in Chinese sleep clinic patients: a knowledge-attitudes-practices survey.Frontiers in psychiatry · 2026Article
- "I Can't Afford the Copays, So Guess I'll Die?" Using Discounting Methodology to Quantify How Cost Affects Health-Care Utilization.Behavior and social issues · 2024Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Findings from the clinical psychology literature indicate that many who experience depression do not seek treatment when needed. This may be due to help-seeking models and interventions failing to account for the behavioral characteristics of depression that affect decision making (e.g., altered sensitivity to punishment and reward). Behavioral economics can provide a framework for studying help-seeking among individuals with depression that explicitly considers such characteristics. In particular, the authors propose that depression influences help-seeking by altering sensitivity to treatment-related gains and losses and to the delays, effort, probabilities, and social distance associated with those gains and losses. Additional biases in decision making (e.g., sunk-cost bias, default bias) are also proposed to be relevant to help-seeking decisions among individuals with depression. Strengths, limitations, and future directions for research using this theoretical framework are discussed. Taken together, a behavioral economic model of help-seeking for depression could assist in identifying those who are at greatest risk of going untreated and in creating more effective help-seeking interventions.
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