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Addressing the growing threat of antimicrobial resistance is, in part, reliant on the complex challenge of changing human behaviour-in terms of reducing inappropriate antibiotic use and preventing infection. Whilst there is no 'one size fits all' recommended behavioural solution for improving antimicrobial stewardship, the behavioural and social sciences offer a range of theories, frameworks, methods and evidence-based principles that can help inform the design of behaviour change interventions that are context-specific and thus more likely to be effective. However, the state-of-the-art in antimicrobial stewardship research and practice suggests that behavioural and social influences are often not given due consideration in the design and evaluation of interventions to improve antimicrobial prescribing. In this paper, we discuss four potential areas where the behavioural and social sciences can help drive more effective and sustained behaviour change in antimicrobial stewardship: (i) defining the problem in behavioural terms and understanding current behaviour in context; (ii) adopting a theory-driven, systematic approach to intervention design; (iii) investigating implementation and sustainability of interventions in practice; and (iv) maximizing learning through evidence synthesis and detailed intervention reporting. [ABSTRACT FROM AUTHOR]

Introduction: This paper is a report on a study exploring a potential typology of primary care patients referred for integrated behavioral health care (IBHC) services. We considered whether primary care patients could be grouped into meaningful clusters based on perceived need for behavioral health services, barriers to accessing care, and past-year service utilization. We also described the development of a working partnership between our university-based research team and a federally qualified health center (FQHC).Method: A total of 105 adult primary care patients referred for same-day behavioral health appointments completed a brief self-report questionnaire assessing past-year behavioral health concerns, service utilization, and perceived barriers to utilization.Results: Hierarchical and k-means cluster analyses revealed 3 groups: (a) Well-Served patients, characterized by high perceived need for services, high service use, and low barriers to service use (40%); (b) Underserved patients, characterized by high perceived need, low service utilization, and high barriers to service use (20%); and (c) Subclinical patients, characterized by low perceived need, low service use, and low barriers to service use (20%). Clusters were reliably differentiated by age, primary language, insurance status, and global functioning.Discussion: We found primary care patients could be grouped into 3 categories and that 60% (Underserved and Subclinical) represented groups less commonly seen in traditional mental health (MH) settings. IBHC may be a promising approach for extending the reach of MH care, and partnerships between FQHCs and university-based research teams may be a promising approach for conducting research on the IBHC service-delivery model. (PsycINFO Database Record [ABSTRACT FROM AUTHOR]

Objectives: The Demand-Control (DC) and Effort-Reward Imbalance (ERI) models predict health in a work context. Self-report measures of the four key constructs (demand, control, effort, and reward) have been developed and it is important that these measures have good content validity uncontaminated by content from other constructs. We assessed relevance (whether items reflect the constructs) and representativeness (whether all aspects of the construct are assessed, and all items contribute to that assessment) across the instruments and items.Methods: Two studies examined fourteen demand/control items from the Job Content Questionnaire and seventeen effort/reward items from the Effort-Reward Imbalance measure using discriminant content validation and a third study developed new methods to assess instrument representativeness. Both methods use judges' ratings and construct definitions to get transparent quantitative estimates of construct validity. Study 1 used dictionary definitions while studies 2 and 3 used published phrases to define constructs.Results: Overall, 3/5 demand items, 4/9 control items, 1/6 effort items, and 7/11 reward items were uniquely classified to the appropriate theoretical construct and were therefore 'pure' items with discriminant content validity (DCV). All pure items measured a defining phrase. However, both the DC and ERI assessment instruments failed to assess all defining aspects.Conclusions: Finding good discriminant content validity for demand and reward measures means these measures are usable and our quantitative results can guide item selection. By contrast, effort and control measures had limitations (in relevance and representativeness) presenting a challenge to the implementation of the theories. Statement of contribution What is already known on this subject? While the reliability and construct validity of Demand-Control and Effort-Reward-Imbalance (DC and ERI) work stress measures are routinely reported, there has not been adequate investigation of their content validity. This paper investigates their content validity in terms of both relevance and representativeness and provides a model for the investigation of content validity of measures in health psychology more generally. What does this study add? A new application of an existing method, discriminant content validity, and a new method of assessing instrument representativeness. 'Pure' DC and ERI items are identified, as are constructs that are not fully represented by their assessment instruments. The findings are important for studies attempting to distinguish between the main DC and ERI work stress constructs. The quantitative results can be used to guide item selection for future studies. [ABSTRACT FROM AUTHOR]

Introduction: A practice embarks on a radical reformulation of how care is designed and delivered when it decides to integrate medical and behavioral health care for its patients and success depends on managing complex change in a complex system. We examined the ways change is managed when integrating behavioral health and medical care.Method: Observational cross-case comparative study of 19 primary care and community mental health practices. We collected mixed methods data through practice surveys, observation, and semistructured interviews. We analyzed data using a data-driven, emergent approach.Results: The change management strategies that leadership employed to manage the changes of integrating behavioral health and medical care included: (a) advocating for a mission and vision focused on integrated care; (b) fostering collaboration, with a focus on population care and a team-based approaches; (c) attending to learning, which includes viewing the change process as continuous, and creating a culture that promoted reflection and continual improvement; (d) using data to manage change, and (e) developing approaches to finance integration.Discussion: This paper reports the change management strategies employed by practice leaders making changes to integrate care, as observed by independent investigators. We offer an empirically based set of actionable recommendations that are relevant to a range of leaders (policymakers, medical directors) and practice members who wish to effectively manage the complex changes associated with integrated primary care. (PsycINFO Database Record [ABSTRACT FROM AUTHOR]