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Exploring social influences on healthcare user decision-making
S P H Nouwens1, J Veldwijk1, L Pilli1
1Erasmus School of Health Policy & Management, Erasmus University Rotterdam, the Netherlands; Erasmus Choice Modelling Centre, Erasmus University Rotterdam, the Netherlands; Erasmus Centre for Health Economics Rotterdam, Erasmus University, the Netherlands.
Social influencers significantly impact healthcare decisions by shaping information, preferences, and final choices. Understanding these social influences is key to improving healthcare choice models for better patient outcomes.
Area of Science:
- Health decision-making research
- Social psychology in healthcare
- Behavioral economics
Background:
- Current healthcare choice models often overlook the significant role of social influencers.
- Social factors can profoundly affect how individuals make health-related decisions.
Purpose of the Study:
- To investigate the diverse mechanisms through which social influencers impact healthcare user decision-making.
- To enhance existing healthcare choice models by incorporating social influence dynamics.
Main Methods:
- Qualitative study employing two focus groups (n=12) and 41 semi-structured interviews.
- Interviews included both healthcare users and physicians across various domains (influenza vaccination, birth care, joint replacement, prostate cancer treatment).
- Grounded theory approach used for data analysis.
Main Results:
- Social influences affect three key decision-making phases: information gathering, preference formation, and decision execution.
- Information perception, attribute importance, and decision deliberation are shaped by social networks, norms, and advice.
- The impact of social influences varies across different healthcare domains.
Conclusions:
- Social influencers play a critical role in healthcare decision-making, influencing perceptions, preferences, and choices.
- Incorporating social influence mechanisms into choice models can lead to more accurate representations of health decisions.
- Findings offer insights for refining health choice models and understanding patient behavior across diverse medical contexts.
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