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Published on: February 16, 2011
Cooperation and consensus in the outcomes movement
1Doyle Consulting, Inc., Boulder, CO, USA.
Managed Care Quarterly
|January 3, 1996
Summary
The outcomes movement, integrating clinical research and managed care, aims to improve healthcare quality. Key goals include information sharing, standardized methods, and policy influence, despite facing resource and leadership challenges.
Area of Science:
- Health Services Research
- Healthcare Management
- Clinical Outcomes Research
Background:
- The "outcomes movement" merges clinical outcomes research translation with managed care's focus on competition and accountability.
- Current leadership within the outcomes movement is diffuse, highlighting a recognized need for enhanced collaboration and information exchange among practitioners.
Purpose of the Study:
- To identify consensus-based goals for collaboration within the outcomes movement.
- To explore obstacles hindering progress in achieving these collaborative goals.
- To present potential strategies for overcoming identified obstacles.
Main Methods:
- Analysis of two recent initiatives aimed at establishing a forum for outcomes cooperation.
- Identification of consensus-based goals through collaborative efforts.
- Assessment of obstacles and formulation of potential solutions.
Main Results:
- Four primary goals for collaboration were established: disseminating information, standardizing measurement methods, informing public opinion and policy, and utilizing outcomes data to enhance care quality.
- Significant obstacles to progress include a lack of resources, organization, and leadership.
- Various options for addressing these obstacles were presented.
Conclusions:
- The outcomes movement requires greater collaboration and standardized approaches to effectively leverage clinical outcomes research.
- Addressing resource, organizational, and leadership deficits is crucial for advancing the movement's goals.
- Strategic options are proposed to facilitate progress in improving healthcare quality through outcomes data.
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