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A New Tool for Determining and Monitoring Public Healthcare Systems
Vered Reiter1, Doron Nisani2, Shay S Tzafrir3
1Association for Children at Risk, Center for the Study of Organizations & Human Resource Management, University of Haifa, Haifa 3498838, Israel.
Healthcare (Basel, Switzerland)
|December 23, 2022
Summary
Maintaining healthcare standards amid COVID-19 requires multidimensional definitions of reasonable medical treatment. This study proposes a universally applicable formula to improve public health system planning and performance.
Area of Science:
- Public Health Policy
- Healthcare Management
- Medical Ethics
Background:
- The COVID-19 pandemic has highlighted challenges in maintaining consistent treatment standards globally.
- Public health policymaking is complex, involving multiple dimensions that influence healthcare delivery.
- Existing definitions of reasonable medical treatment may not adequately address systemic complexities.
Purpose of the Study:
- To define reasonable medical treatments by considering diverse stakeholder perspectives.
- To develop a universally applicable formula for assessing medical treatment adequacy.
- To enhance public health system planning and performance standards.
Main Methods:
- Qualitative analysis of interviews with thirty-two healthcare stakeholders.
- Development and application of an innovative quadrilateral model for data mapping.
- Formulation of a generic algorithm for medical sub-services' activity.
Main Results:
- Stakeholders generally viewed the healthcare system positively but identified gaps in clinical/service, social/ethical, legal, and economic aspects.
- A generic formula was developed to account for these identified dimensions.
- Stakeholders' positive assessment indicated acceptance of resource allocation rather than optimal healthcare.
Conclusions:
- A multidimensional approach is crucial for defining reasonable medical treatments.
- The proposed quadrilateral model and formula enhance the generalizability of findings.
- Implementing a comprehensive formula can lead to transparent, effective, and responsible healthcare planning and optimization.
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