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14:14
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
Published on: May 13, 2022
Exploring the feasibility of Conjoint Analysis as a tool for prioritizing innovations for implementation
Katherine Farley1, Carl Thompson, Andria Hanbury
1Department of Health Sciences, The University of York, York YO10 5DD, England. katherine.farley@york.ac.uk
Implementation Science : IS
|May 30, 2013
Summary
Prioritizing healthcare innovations is challenging. Conjoint Analysis (CA) effectively captures professional values, identifying "guided self help" as a top priority for postnatal depression interventions.
Area of Science:
- Healthcare Innovation
- Implementation Science
- Health Services Research
Background:
- Prioritizing healthcare innovations is crucial due to limited resources.
- Professional values and attitudes significantly influence implementation decisions.
- Capturing these values reliably presents a significant challenge.
Purpose of the Study:
- To present an approach for capturing and incorporating professional values into healthcare innovation prioritization.
- To measure healthcare professional priorities for interventions addressing postnatal depression.
Main Methods:
- Conjoint Analysis (CA) was employed in a UK Primary Care Trust.
- Rating-based CA data was collected via questionnaire.
- Data was mapped onto 12 interventions for managing postnatal depression.
Main Results:
- 'Impact on patient care' and 'quality of supporting evidence' were key drivers of priority.
- 'Guided self help' emerged as the top-priority intervention.
- Interventions were grouped into 'psychological therapies' for implementation.
Conclusions:
- Conjoint Analysis is a feasible method for capturing stakeholder utility in innovation prioritization.
- This approach can increase the likelihood of innovation adoption.
- Improving response rates for conjoint surveys is necessary for routine use.
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