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Operational research as implementation science: definitions, challenges and research priorities.
1NIHR CLAHRC Wessex, Faculty of Health Sciences, University of Southampton, Southampton, UK. thomas.monks@soton.ac.uk.
Operational research (OR) aids complex healthcare decisions. This study outlines three OR roles in implementation science: problem structuring, intervention evaluation, and strategic reconfiguration, addressing key challenges for broader impact.
Area of Science:
- Healthcare Operations
- Implementation Science
- Systems Thinking
Background:
- Operational Research (OR) has been applied in healthcare since the 1950s.
- OR methods address complex operational and logistical challenges in healthcare delivery.
- Diverse applications include emergency medicine, patient scheduling, and hospital management.
Purpose of the Study:
- To explore the role of Operational Research (OR) within implementation science.
- To identify and detail three key roles for OR grounded in system thinking.
- To address challenges and propose a research agenda for applied OR in implementation science.
Main Methods:
- System thinking approach to define OR roles.
- Illustrative case studies from mental health, emergency medicine, and stroke care.
- Analysis of challenges at organizational, interventional, and disciplinary levels.
Main Results:
- Identified three core roles for OR: structuring implementation problems, prospective evaluation of interventions, and strategic reconfiguration of health services.
- Highlighted challenges including lack of mutual understanding, limited evaluation of OR interventions, and insufficient service user involvement.
- Proposed a research agenda focusing on evaluating applied OR, liberating OR from specialist environments, and co-design with service users.
Conclusions:
- Operational Research (OR) offers valuable system thinking for improving health services.
- Addressing identified challenges is crucial for advancing the application of OR in implementation science.
- Future efforts should prioritize evaluation, broader integration, and user-centered design of OR models in healthcare.
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