The DETECT adherence score--structure and psychometric exploration of a novel approach to measure adherence to drug and non-drug interventions in primary care.

There is substantial evidence that patient compliance or rather adherence to medical measures and recommendations for lifestyle changes can pivotally influence the prognosis of the patients or disease progression. However, the scientific evaluation and the statistical analysis of "patient adherence" are extremely difficult due to the fact that the construct of "adherence" is complex and comprised of many layers, and varies greatly in different disease groups. With this paper, we describe the development and structure of this novel assessment tool that takes past and prospective information on different facets of drug and behavioural adherence into account, expected to result in considerably improved prediction of future cardiovascular risk. We suggest a simple scoring scheme and explore the psychometric properties and the higher order factorial structure. In this exploratory study the "Diabetes Cardiovascular Risk Evaluation Targets and Essential Data for Commitment of Treatment" (DETECT) adherence score revealed good psychometric properties in terms of internal consistency and factorial structure, suggesting that its further exploration in terms of external validity is promising. Findings also underline that it is useful and informative to cover within one score both, pharmacologic and non-pharmacologic interventions in primary care. Our combination in this respect is unique, as most studies conducted on this subject so far aimed at assessing solely drug adherence or behavioural adherence.