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There were, however, some important differences in their preferences for innovation investment choices: Class-1 (54%) prefers innovations benefitting adults and young people and does not prefer innovations targeting people with 'drug addiction' and 'obesity'obesity
Class- 2 (34%) prefers innovations targeting 'cancer' patients only and has negative preferences for innovations targeting elderly, and Class-3 (12%) prefers spending on elderly and cancer patients the most.
They do, however, vary in their preferences for innovations aimed at specific population groups: preferring investment in innovations for people with 'disability'cancerncer' and 'asthma' , but not preferring investment in innovations targeting people with 'drug addiction' and 'obesity'obesity
Whilst all classes feel the NHS should invest in innovations targeting people with 'cancer' and do not prefer funding innovations targeting people with 'drug addictions', people differ in their preferences for innovations that target those with 'disability'mentalntal health problems', 'obesity' and 'asthma'.
Preferences for innovations targeting different age groups also vary at each class.
This variation across the three classes is also reflected in their preferences for innovations targeting different population groups.
As for the innovations targeting people with 'asthma' , while Class-1 shows significant and positive preferences for such innovations, Class-2 and Class-3 show no significant preferences for innovations targeting these people.
Class-1 and Class-3 are significantly and positively predisposed towards innovations targeting people with 'disability' , Class-2, however, has no significant preferences for innovations targeting these people.
We included 'age' to investigate whether, as is often assumed rather than established, there are systematic differences in the public's preferences for innovations targeting certain age groups.
In this study, we explore the differences in stakeholder preferences for innovations, and quantify the difference in stakeholder priorities regarding costs and benefits.
Thus we will be able to draw conclusions about the impact of exposure and experience on the measurement of preferences for innovations in service delivery.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com