Application of core functions and forms in complex health intervention research: a scoping review protocol.

Introduction: The ability of healthcare, community and public health systems to effectively implement and disseminate research innovations depends on contextual factors at multiple interconnected levels of influence (eg, the innovation, individual, provider/implementor, organisation and health system). Recently, there has been an increase in the development of complex interventions designed to target multiple levels, designed for or adapted to the context in which they are delivered. Two concepts from complex systems thinking have been increasingly used to operationalise such interventions-core functions (theory and evidence-driven purposes of interventions) and forms (adaptable activities that perform each core function).

Using the Person-Based Approach to Co-Create and Optimize an App-Based Intervention to Support Better Sleep for Adolescents in the United Kingdom: Mixed Methods Study.

Background: Poor sleep is a common problem in adolescents aged 14 to 18 years. Difficulties with sleep have been found to have a bidirectional link to mental health problems.

Objective: This new research sought to involve young people in the co-creation of a new app, particularly those from underserved communities.

Socio-demographic differences in the dietary inflammatory index from National Health and Nutrition Examination Survey 2005-2018: a comparison of multiple imputation versus complete case analysis.

Objective: Studies using the dietary inflammatory index often perform complete case analyses (CCA) to handle missing data, which may reduce the sample size and increase the risk of bias. Furthermore, population-level socio-economic differences in the energy-adjusted dietary inflammatory index (E-DII) have not been recently studied. Therefore, we aimed to describe socio-demographic differences in E-DII scores among American adults and compare the results using two statistical approaches for handling missing data, i.

Entanglements of Technologies, Agency and Selfhood: Exploring the Complexity in Attitudes Toward Mental Health Chatbots.

Whilst chatbots for mental health are becoming increasingly prevalent, research on user experiences and expectations is relatively scarce and also equivocal on their acceptability and utility. This paper asks how people formulate their understandings of what might be appropriate in this space. We draw on data from a group of non-users who have experienced a need for support, and so can imagine self as therapeutic target-enabling us to tap into their imaginative speculations of the self in relation to the chatbot other and the forms of agency they see as being at play; unconstrained by a specific actual chatbot.