Activity: Talk or presentation types › Invited talk
Research investigating the efficacy and effectiveness of treatments to inform clinical practice relies on high-quality measurement of the evaluation criteria. In the context of the global burden of disease due to long-term conditions, the subjective experience of health and the impact of such conditions on peoples' lives are of particular importance. Probably the two most prominent classes of constructs or types of measures in this space are health-related quality of life and patient reported outcomes. The methodology to develop such measures has improved considerably, including participatory approaches to consider diverse experiences and interests of stakeholders. This led to an increase in available measures and the frequent discussion of which measure or concrete operationalisation of a construct to use – and more generally: how to standardise measurement in evaluation studies. Broadly speaking, three approaches are taken to standardise or harmonise measurement in research and clinical practice: (i) "core outcome sets", i.e. agreed outcome domains that should be measured and reported, as a minimum, in all clinical trials or health care; (ii) "item banks", i.e. questions and questionnaires that have been empirically shown to support estimates of the same latent constructs; and (iii) "common measures", i.e. stakeholder-agreed operationalisations (e.g., particular questionnaires) that need to be assessed. The presentation will discuss these three types of standardisation of measurement with current examples from research on mental health and multimorbidity.