Producing QALY’s: Diabetes-specific preference-based measures for health economics and outcomes research

2nd April 2019

The Clinical Outcomes team at Oxford University Innovation are very pleased to announce the availability of diabetes-specific preference-based measures that can be used to produce valuable health economic data.

The DHP-3D and 5D are data analysis tools for extracting valuable health economic data from Patient Reported Outcome measures. Using data from the widely regarded Diabetes Health Profile (for the DHP-3D), along with the SF-36 (for the DHP-5D), health economists can now build Quality-Adjusted Life Year (QALY) evidence in support of their interventions.

 

The DHP-3D is a diabetes-specific preference-based measure, that has 3 dimensions (mood/psychological distress, eating and social limitations/ barriers to activity); whereas the DHP-5D has 5 dimensions (mood, eating, social limitations, hypoglycaemic attacks and vitality).

The generated utility weights are then embedded into short programme files to be used with common data analysis packages SPSS or STATA.

The DHP-3D and DHP-5D were developed by our associates at The University of Sheffield.

The DHP-3D + 5D are now available from the Clinical Outcomes team at Oxford University Innovation.

For more information, please do not hesitate to get in touch with us via healthoutcomes@innovation.ox.ac.uk.

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