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Citizens, their agents and health care rationing: an exploratory study using qualitative methods
1Department of Social Medicine, University of Bristol, UK. jo.coast@bristol.ac.uk
Health Economics
|March 17, 2001
Summary
Citizens have varied preferences for involvement in healthcare rationing decisions. Healthcare agents believe citizens need them to make these complex decisions, highlighting an imperfect citizen-agent relationship.
Area of Science:
- Health policy
- Decision science
- Sociology of health
Background:
- The principal-agent theory is applied to societal healthcare decision-making.
- Ambiguity exists regarding citizen-agent relationships in healthcare rationing.
- Little research explores citizen preferences for agents in healthcare decisions.
Purpose of the Study:
- To explore the citizen-agent relationship in societal healthcare decision-making.
- To understand citizen willingness to delegate rationing decisions to agents.
- To identify potential societal agents for healthcare rationing.
Main Methods:
- Qualitative approach utilizing semi-structured interviews.
- Data collected from both citizens and potential healthcare agents.
- Analysis performed using constant comparison methodology.
Main Results:
- Citizen involvement in rationing decisions varies significantly based on knowledge, experience, and distress.
- Agents perceive citizens as needing delegation for decision-making.
- Health authorities are viewed as the primary agents for rationing decisions.
- The citizen-agent relationship in healthcare is complex and imperfect.
- Decisions result from interactions between various actors' utility functions.
- A system of equivocation may emerge to avoid the distress of denying care.
Conclusions:
- Citizen preferences for healthcare rationing involvement are diverse.
- Healthcare agents see a need for delegation, with health authorities as key decision-makers.
- The citizen-agent dynamic in healthcare is intricate, influenced by multiple stakeholder interests.
- Societal or citizen-led rationing decisions may have limited impact due to collusion and avoidance of difficult choices.