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Do parental preferences predict engagement in child health programs?
Tony Beatton1, Carly J Moores2, Dipanwita Sarkar3
1Behavioural Economics Society and Technology Centre, Faculty of Business and Law, Queensland University of Technology, Brisbane, Australia.
Parental patience and risk tolerance predict engagement in child health programs. Understanding these behavioral factors can improve intervention program attendance and reduce attrition.
Area of Science:
- Behavioral Economics
- Public Health Interventions
- Child Health Management
Background:
- Intervention programs often face high attrition rates, impacting their effectiveness.
- Previous research has not fully explored parental behavioral attributes influencing engagement in child-focused health programs.
Purpose of the Study:
- To investigate the role of parental behavioral preferences, specifically time preference and risk tolerance, in predicting engagement with a child health management program.
- To differentiate the influence of these preferences when outcomes pertain to children's health versus the parents' own health.
Main Methods:
- An artifactual field experiment was conducted with former parent enrollees of a child health program in Australia.
- Engagement was measured by program attendance.
- Statistical analysis controlled for personality traits and socioeconomic factors.
Main Results:
- Parental time preference and risk tolerance were found to be significant predictors of engagement (program attendance).
- Higher levels of patience and risk tolerance in the health domain were positively associated with increased attendance.
- These associations remained robust after accounting for other individual characteristics.
Conclusions:
- Parental behavioral attributes, particularly patience and risk tolerance, are crucial factors influencing engagement in child health interventions.
- Identifying and addressing these behavioral risk factors can inform strategies to enhance participant retention and program success.
- This research offers valuable insights for designing more effective and engaging public health programs.
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