Abstract
The challenge of maintaining a standard of treatment has become a core issue due to the COVID-19 outbreak, and many countries are currently addressing this issue. Since public health policymaking is a multidimensional issue, including different aspects, measures, features, and scales, and so forth, multidimensional definitions of reasonable medical treatments may improve planning and performance standards for public health systems. This study emphasizes the need to settle all of the dimensions in policymaking to aim to elicit reasonable medical treatment definitions and adequacy assessments from diverse healthcare stakeholders and offer a universally applicable reasonable medical treatment formula. Interviews of thirty-two stakeholders were qualitatively analyzed and mapped onto an innovative quadrilateral model. The findings showed that most interviewees viewed the system positively. However, they identified various lacunas—clinical/service, social/ethical, legal, and economically reasonable medical treatment aspects. A generic formula for the medical sub-services’ activity accounted for these, given any specific time period and technological development. The stakeholders’ positive assessment reflects an acquiescence for resource allocation and policy enforcement, rather than optimal healthcare. Nationally, this should be addressed. The quadrilateral mapping of the stakeholders enhances the translatability and generalizability of the systemic data. A comprehensive reasonable medical treatment formula will help the policymakers to optimize services, and it will render healthcare planning/implementation transparent, effective, and responsible.
Original language | English |
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Article number | 2528 |
Journal | Healthcare (Switzerland) |
Volume | 10 |
Issue number | 12 |
DOIs | |
State | Published - 14 Dec 2022 |
Bibliographical note
Publisher Copyright:© 2022 by the authors.
Keywords
- nationalized healthcare
- public health services
- reasonable standards
- stakeholders
ASJC Scopus subject areas
- Leadership and Management
- Health Policy
- Health Informatics
- Health Information Management