Barriers and enablers to blood culture sampling in Indonesia, Thailand and Viet Nam: a Theoretical Domains Framework-based survey.

OBJECTIVE: Blood culture (BC) sampling is recommended for all suspected sepsis patients prior to antibiotic administration. We examine barriers and enablers to BC sampling in three Southeast Asian countries. DESIGN: A Theoretical Domains Framework (TDF)-based survey, comprising a case scenario of a patient presenting with community-acquired sepsis and all 14 TDF domains of barriers/enablers to BC sampling. SETTING: Hospitals in Indonesia, Thailand and Viet Nam, December 2021 to 30 April 2022. PARTICIPANTS: 1070 medical doctors and 238 final-year medical students were participated in this study. Half of the respondents were women (n=680, 52%) and most worked in governmental hospitals (n=980, 75.4%). OUTCOME MEASURES: Barriers and enablers to BC sampling. RESULTS: The proportion of respondents who answered that they would definitely take BC in the case scenario was highest at 89.8% (273/304) in Thailand, followed by 50.5% (252/499) in Viet Nam and 31.3% (157/501) in Indonesia (p<0.001). Barriers/enablers in nine TDF domains were considered key in influencing BC sampling, including 'priority of BC (TDF-goals)', 'perception about their role to order or initiate an order for BC (TDF-social professional role and identity)', 'perception that BC is helpful (TDF-beliefs about consequences)', 'intention to follow guidelines (TDF-intention)', 'awareness of guidelines (TDF-knowledge)', 'norms of BC sampling (TDF-social influence)', 'consequences that discourage BC sampling (TDF-reinforcement)', 'perceived cost-effectiveness of BC (TDF-environmental context and resources)' and 'regulation on cost reimbursement (TDF-behavioural regulation)'. There was substantial heterogeneity between the countries. In most domains, the lower (higher) proportion of Thai respondents experienced the barriers (enablers) compared with that of Indonesian and Vietnamese respondents. A range of suggested intervention types and policy options was identified. CONCLUSIONS: Barriers and enablers to BC sampling are varied and heterogenous. Cost-related barriers are more common in more resource-limited countries, while many barriers are not directly related to cost. Context-specific multifaceted interventions at both hospital and policy levels are required to improve diagnostic stewardship practices.

Key influences on university students' physical activity: a systematic review using the Theoretical Domains Framework and the COM-B model of human behaviour.

BACKGROUND: Physical activity is important for all aspects of health, yet most university students are not active enough to reap these benefits. Understanding the factors that influence physical activity in the context of behaviour change theory is valuable to inform the development of effective evidence-based interventions to increase university students' physical activity. The current systematic review a) identified barriers and facilitators to university students' physical activity, b) mapped these factors to the Theoretical Domains Framework (TDF) and COM-B model, and c) ranked the relative importance of TDF domains. METHODS: Data synthesis included qualitative, quantitative, and mixed-methods research published between 01.01.2010-15.03.2023. Four databases (MEDLINE, PsycINFO, SPORTDiscus, and Scopus) were searched to identify publications on the barriers/facilitators to university students' physical activity. Data regarding study design and key findings (i.e., participant quotes, qualitative theme descriptions, and survey results) were extracted. Framework analysis was used to code barriers/facilitators to the TDF and COM-B model. Within each TDF domain, thematic analysis was used to group similar barriers/facilitators into descriptive theme labels. TDF domains were ranked by relative importance based on frequency, elaboration, and evidence of mixed barriers/facilitators. RESULTS: Thirty-nine studies involving 17,771 participants met the inclusion criteria. Fifty-six barriers and facilitators mapping to twelve TDF domains and the COM-B model were identified as relevant to students' physical activity. Three TDF domains, environmental context and resources (e.g., time constraints), social influences (e.g., exercising with others), and goals (e.g., prioritisation of physical activity) were judged to be of greatest relative importance (identified in > 50% of studies). TDF domains of lower relative importance were intentions, reinforcement, emotion, beliefs about consequences, knowledge, physical skills, beliefs about capabilities, cognitive and interpersonal skills, social/professional role and identity, and behavioural regulation. No barriers/facilitators relating to the TDF domains of memory, attention and decision process, or optimism were identified. CONCLUSIONS: The current findings provide a foundation to enhance the development of theory and evidence informed interventions to support university students' engagement in physical activity. Interventions that include a focus on the TDF domains 'environmental context and resources,' 'social influences,' and 'goals,' hold particular promise for promoting active student lifestyles. TRIAL REGISTRATION: Prospero ID-CRD42021242170.

Integrating health geography and behavioral economic principles to strengthen context-specific behavior change interventions.

The long-term economic viability of modern health care systems is uncertain, in part due to costs of health care at the end of life and increasing health care utilization associated with an increasing population prevalence of multiple chronic diseases. Control of health care spending and sustaining delivery of health care services will require strategic investments in prevention to reduce the risk of disease and its complications over an individual's life course. Behavior change interventions aimed at reducing a range of harmful and risky health-related behaviors including smoking, physical inactivity, excess alcohol consumption, and excess weight, are one approach that has proven effective at reducing risk and preventing chronic disease. However, large-scale efforts to reduce population-level chronic diseases are challenging and have not been very successful at reducing the burden of chronic diseases. A new approach is required to identify when, where, and how to intervene to disrupt patterns of behavior associated with high-risk factors using context-specific interventions that can be scaled. This paper introduces the need to integrate theoretical and methodological principles of health geography and behavioral economics as opportunities to strengthen behavior change interventions for the prevention of chronic diseases. We discuss how health geography and behavioral economics can be applied to expand existing behavior change frameworks and how behavior change interventions can be strengthened by characterizing contexts of time and activity space.

Behavior change interventions are challenged by lack of information about the contexts influencing decisions patients make as part of their daily routine such as when, where, and how health behaviors occur. A new approach is required to strengthen behavior change interventions by integrating contexts of time and activity space so that strategies can be scaled across populations to influence how individuals make decisions about improving their health behaviors. Incorporating ideas from health geography and behavioral economics into the design of behavior change interventions provides an opportunity to collect and investigate individual-level health information characterizing contexts of individuals' activities across space, connections to place, time management, and patterns in behavior over time. By visualizing and characterizing key spatiotemporal contexts about an individual's day-to-day routine, insight can be gained about where and for how long activities occur and what opportunities exist for adapting day-to-day routines. This paper will discuss how theory from health geography could be applied to understand contexts influencing behaviors and how spatiotemporal information could be applied for the purpose of tailoring behavioral economic strategies to strengthen the design of behavior change interventions.

A qualitative interview study applying the COM-B model to explore how hospital-based trainers implement antimicrobial stewardship education and training in UK hospital-based care.

BACKGROUND: Antimicrobial resistance (AMR) is a major global health threat caused by the inappropriate use of antimicrobials in healthcare and other settings. Antimicrobial stewardship (AMS) is a broad multi-component health services intervention that promotes and monitors the judicious use of antimicrobials to preserve their future effectiveness. A main component of AMS is education and training (E&T). However, there are often discrepancies in how such interventions are implemented and delivered in hospital-based care. The aim of this study was to explore the factors influencing the implementation of AMS E&T in UK hospitals. METHODS: Semi-structured interviews were carried out with AMS E&T trainers in UK hospitals. The interview schedule was developed using the Capability, Opportunity, Motivation = Behaviour (COM-B) model. Participants were identified via professional networks and social media. Interviews were analysed using inductive thematic analysis, followed by deductive analysis using the COM-B model as a framework. RESULTS: A total of 34 participants (26 antimicrobial pharmacists, 3 nurses, 1 advanced clinical practitioner, 2 infectious disease consultants, 1 microbiologist and 1 clinical scientist). responsible for designing, implementing and evaluating AMS E&T in UK hospitals (five from Northern Ireland, four from Wales, two from Scotland and 23 from England) took part in virtual interviews. Key themes were: (1) The organisational context, including system-level barriers to AMS included competing organisational targets (Reflective motivation and physical opportunity) and the impact of the COVID-19 pandemic on activity (Physical opportunity); (2) Healthcare professionals' roles and the wider multi-disciplinary team, such that AMS roles were defined and addressed poorly in E&T (Social opportunity); and (3) The individual perception of the need for AMS E&T in hospital-based care, manifest in a perceived lack of conviction of the wider threat of AMR and the resulting need for AMS E&T (Reflective motivation). CONCLUSION: This study has identified factors influencing implementation of AMS E&T in UK hospitals and further identified where implemented, AMS E&T did not address real-world challenges. Current AMS E&T needs to be optimised to elicit practice change, with recommendations including training and engaging the wider work-force and drawing upon theoretically-informed intervention development frameworks to inform AMS E&T to better target AMS behaviour change.

Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa.

BACKGROUND: Postpartum haemorrhage (PPH) is the leading cause of global maternal deaths, accounting for 30-50% of maternal deaths in sub-Saharan Africa. Most PPH-related deaths are preventable with timely detection and initiation of care, which may be facilitated by using a clinical care bundle. We explore influences on current PPH detection and management and on the future implementation of a new PPH bundle (E-MOTIVE) in low-resource, high-burden settings. METHODS: Semi-structured qualitative interviews based on the Theoretical Domains Framework were conducted with 45 healthcare providers across nine hospitals in Nigeria, Kenya and South Africa, to identify barriers and enablers to current PPH detection and management and future implementation of a new PPH care bundle. Data were analysed using thematic and framework analysis. The Behaviour Change Wheel was used to identify potential interventions to address identified barriers and enablers. RESULTS: Influences on current PPH detection and management fell under 12 domains: Environmental Context and Resources (drug and staff shortages), Skills (limited in-service training), Knowledge (variable understanding of the recommended practice), Behaviour Regulation (limited quality improvement culture), Beliefs about Consequences (drawbacks from inaccurate detection), Emotion (stress from the unpredictability of PPH), Social Influence (teamwork), Memory, Attention and Decision-making (limited guideline use), Social/Professional Role and Identity (role clarity), Beliefs about Capabilities (confidence in managing PPH), Reinforcement (disciplinary procedures) and Goals (PPH as a priority). Influences on bundle uptake included: Beliefs about Consequences (perceived benefits of new blood loss measurement tool), Environmental Context and Resources (high cost of drugs and new tools), Memory, Attention and Decision-making (concerns about whether bundle fits current practice), Knowledge (not understanding 'bundled' approach), Social Influence (acceptance by women and staff) and Intention (limited acceptance of 'bundled' approach over existing practice). These influences were consistent across countries. Proposed interventions included: Education, Training, Modelling (core and new skills), Enablement (monitoring uptake), Persuasion (leadership role) and Environmental Restructuring (PPH emergency trolley/kit). CONCLUSIONS: A wide range of individual, socio-cultural and environmental barriers and enablers to improving PPH detection and management exist in these settings. We identified a range of interventions that could improve PPH care and the implementation of new care bundles in this context. TRIAL REGISTRATION: ClinicalTrials.gov : NCT04341662.

The MOHMQuit (Midwives and Obstetricians Helping Mothers to Quit Smoking) Trial: protocol for a stepped-wedge implementation trial to improve best practice smoking cessation support in public antenatal care services.

BACKGROUND: Smoking during pregnancy is the most important preventable cause of adverse pregnancy outcomes, yet smoking cessation support (SCS) is inconsistently provided. The MOMHQUIT intervention was developed to address this evidence-practice gap, using the Behaviour Change Wheel method by mapping barriers to intervention strategies. MOHMQuit includes systems, leadership and clinician elements. This implementation trial will determine the effectiveness and cost-effectiveness of MOHMQuit in improving smoking cessation rates in pregnant women in public maternity care services in Australia; test the mechanisms of action of the intervention strategies; and examine implementation outcomes. METHODS: A stepped-wedge cluster-randomised design will be used. Implementation of MOHMQuit will include reinforcing leadership investment in SCS as a clinical priority, strengthening maternity care clinicians' knowledge, skills, confidence and attitudes towards the provision of SCS, and clinicians' documentation of guideline-recommended SCS provided during antenatal care. Approximately, 4000 women who report smoking during pregnancy will be recruited across nine sites. The intervention and its implementation will be evaluated using a mixed methods approach. The primary outcome will be 7-day point prevalence abstinence at the end of pregnancy, among pregnant smokers, verified by salivary cotinine testing. Continuous data collection from electronic medical records and telephone interviews with postpartum women will occur throughout 32 months of the trial to assess changes in cessation rates reported by women, and SCS documented by clinicians and reported by women. Data collection to assess changes in clinicians' knowledge, skills, confidence and attitudes will occur prior to and immediately after the intervention at each site, and again 6 months later. Questionnaires at 3 months following the intervention, and semi-structured interviews at 6 months with maternity service leaders will explore leaders' perceptions of acceptability, adoption, appropriateness, feasibility, adaptations and fidelity of delivery of the MOHMQuit intervention. Structural equation modelling will examine causal linkages between the strategies, mediators and outcomes. Cost-effectiveness analyses will also be undertaken. DISCUSSION: This study will provide evidence of the effectiveness of a multi-level implementation intervention to support policy decisions; and evidence regarding mechanisms of action of the intervention strategies (how the strategies effected outcomes) to support further theoretical developments in implementation science. TRIAL REGISTRATION: ACTRN12622000167763, registered February 2nd 2022.

Structured follow-up pathway to support people after transient ischaemic attack and minor stroke (SUPPORT TIA): protocol for a feasibility study and process evaluation.

INTRODUCTION: People who experience transient ischaemic attack (TIA) and minor stroke have limited follow-up despite rapid specialist review in hospital. This means they often have unmet needs and feel abandoned following discharge. Care needs after TIA/minor stroke include information provision (diagnosis and stroke risk), stroke prevention (medication and lifestyle change) and holistic care (residual problems and return to work or usual activities). This protocol describes a feasibility study and process evaluation of an intervention to support people after TIA/minor stroke. The study aims to assess the feasibility and acceptability of (1) the intervention and (2) the trial procedures for a future randomised controlled trial of this intervention. METHODS AND ANALYSIS: This is a multicentre, randomised (1:1) feasibility study with a mixed-methods process evaluation. Sixty participants will be recruited from TIA clinics or stroke wards at three hospital sites (England). Intervention arm participants will be offered a nurse or allied health professional-led follow-up appointment 4 weeks after TIA/minor stroke. The multifaceted intervention includes: a needs checklist, action plan, resources to support management of needs, a general practitioner letter and training to deliver the intervention. Control arm participants will receive usual care. Follow-up will be self-completed questionnaires (12 weeks and 24 weeks) and a clinic appointment (24 weeks). Follow-up questionnaires will measure anxiety, depression, fatigue, health related quality of life, self-efficacy and medication adherence. The clinic appointment will collect body mass index, blood pressure, cholesterol and medication. Assessment of feasibility and acceptability will include quantitative process variables (such as recruitment and questionnaire response rates), structured observations of study processes, and interviews with a subsample of participants and clinical staff. ETHICS AND DISSEMINATION: Favourable ethical opinion was gained from the Wales Research Ethics Committee (REC) 1 (23 February 2021, REC reference: 21/WA/0036). Study results will be published in peer-reviewed journals and presented at conferences. A lay summary and dissemination strategy will be codesigned with consumers. The lay summary and journal publication will be distributed on social media. TRIAL REGISTRATION NUMBER: ISRCTN39864003.

Factors influencing follow-up care post-TIA and minor stroke: a qualitative study using the theoretical domains framework.

BACKGROUND: Follow-up care after transient ischaemic attack (TIA) and minor stroke has been found to be sub-optimal, with individuals often feeling abandoned. We aimed to explore factors influencing holistic follow-up care after TIA and minor stroke. METHODS: Qualitative semi-structured interviews with 24 healthcare providers (HCPs): 5 stroke doctors, 4 nurses, 9 allied health professionals and 6 general practitioners. Participants were recruited from three TIA clinics, seven general practices and one community care trust in the West Midlands, England. Interview transcripts were deductively coded using the Theoretical Domains Framework and themes were generated from coded data. RESULTS: There was no clear pathway for supporting people with TIA or minor stroke after rapid specialist review in hospital; consequently, these patients had limited access to HCPs from all settings ('Environmental context and resources'). There was lack of understanding of potential needs post-TIA/minor stroke, in particular residual problems such as anxiety/fatigue ('Knowledge'). Identification and management of needs was largely influenced by HCPs' perceived role, professional training ('Social professional role and identity') and time constraints ('Environmental context and resources'). Follow-up was often passive - with onerous on patients to seek support - and predominantly focused on acute medical management ('Intentions'/'Goal'). CONCLUSIONS: Follow-up care post-TIA/minor stroke is currently sub-optimal. Through identifying factors which influence follow-up, we can inform guidelines and practical strategies to improve holistic healthcare.

Australasian Genetic Counselors' Perceptions of Their Role in Supporting Clients' Behavior Change.

Genetic testing does not always change health behavior. Effective behavior change requires a theory-driven coordinated set of activities (behavior change techniques). Genetic counselors are ideally positioned to facilitate behavior change. We aimed to explore genetic counselors' perceptions of their role in supporting clients' behavior change to inform the design of an intervention. Recruitment was via a professional organization and genetics services. Data were collected from 26 genetic counselors via qualitative focus groups/interview. Transcripts were analyzed using thematic analysis and mapped to the COM-B model. We identified three behaviors genetic counselors wanted clients to change: attend appointments, access information, and share information with family members. Strategies for changing clients' behavior included: assessing needs and capabilities, providing information and support, enabling and monitoring behavior change. Barriers included lack of behavior change skills and knowledge, lack of time, and beliefs about ownership of healthcare, directiveness of behavior change, and scope of practice. Equipping genetic counselors to deliver behavior change requires (i) education in behavior change theory and behavior change techniques, (ii) integration of capability, opportunity and motivation assessment into existing practice, and (iii) development of evidence-based strategies using behavior change tools to focus discussions and promote clients' agency to change their behavior.

Improving implementation of smoking cessation guidelines in pregnancy care: development of an intervention to address system, maternity service leader and clinician factors.

BACKGROUND: Smoking during pregnancy increases the risk of multiple serious adverse infant, child and maternal outcomes, yet nearly 10% of Australian women still smoke during pregnancy. Despite evidence-based guidelines that recommend routine and repeated smoking cessation support (SCS) for all pregnant women, the provision of recommended SCS remains poor. Guidance on developing complex interventions to improve health care recommends drawing on existing theories, reviewing evidence, undertaking primary data collection, attending to future real-world implementation and designing and refining interventions using iterative cycles with stakeholder input throughout. Here, we describe using the Behaviour Change Wheel (BCW) and the Theoretical Domains Framework to apply these principles in developing an intervention to improve the provision of SCS in Australian maternity services. METHODS: Working closely with key stakeholders in the New South Wales (NSW) health system, we applied the steps of the BCW method then undertook a small feasibility study in one service to further refine the intervention. Stakeholders were engaged in multiple ways-as a core research team member, through a project Advisory Group, targeted meetings with policymakers, a large workshop to review potential components and the feasibility study. RESULTS: Barriers to and enablers of providing SCS were identified in five of six components described in the BCW method (psychological capability, physical opportunity, social opportunity and reflective and automatic motivation). These were mapped to intervention types and we selected education, training, enablement, environmental restructuring, persuasion, incentivisation and modelling as suitable in our context. Through application of the APEASE criteria (Affordability, Practicability, Effectiveness, Acceptability, Side effects and Equity) in the stakeholder workshop, behaviour change techniques were selected and applied in developing the intervention which includes systems, clinician and leadership elements. The feasibility study confirmed the feasibility and acceptability of the midwifery component and the need to further strengthen the leadership component. CONCLUSIONS: Using the BCW method combined with strong stakeholder engagement from inception resulted in transparent development of the MOHMQuit intervention, which targets identified barriers to and enablers of the provision of SCS and is developed specifically for the context in which it will be implemented. The intervention is being trialled in eight public maternity services in NSW.

Feasibility study of hospital antimicrobial stewardship analytics using electronic health records.

BACKGROUND: Hospital antimicrobial stewardship (AMS) programmes are multidisciplinary initiatives to optimize antimicrobial use. Most hospitals depend on time-consuming manual audits to monitor clinicians' prescribing. But much of the information needed could be sourced from electronic health records (EHRs). OBJECTIVES: To develop an informatics methodology to analyse characteristics of hospital AMS practice using routine electronic prescribing and laboratory records. METHODS: Feasibility study using electronic prescribing, laboratory and clinical coding records from adult patients admitted to six specialities at Queen Elizabeth Hospital, Birmingham, UK (September 2017-August 2018). The study involved: (i) a review of AMS standards of care; (ii) their translation into concepts measurable from commonly available EHRs; and (iii) a pilot application in an EHR cohort study (n = 61679 admissions). RESULTS: We developed data modelling methods to characterize antimicrobial use (antimicrobial therapy episode linkage methods, therapy table, therapy changes). Prescriptions were linked into antimicrobial therapy episodes (mean 2.4 prescriptions/episode; mean length of therapy 5.8 days), enabling several actionable findings. For example, 22% of therapy episodes for low-severity community-acquired pneumonia were congruent with prescribing guidelines, with a tendency to use broader-spectrum antibiotics. Analysis of therapy changes revealed IV to oral therapy switching was delayed by an average 3.6 days (95% CI: 3.4-3.7). Microbial cultures were performed prior to treatment initiation in just 22% of antibacterial prescriptions. The proposed methods enabled fine-grained monitoring of AMS practice down to specialities, wards and individual clinical teams by case mix, enabling more meaningful peer comparison. CONCLUSIONS: It is feasible to use hospital EHRs to construct rapid, meaningful measures of prescribing quality with potential to support quality improvement interventions (audit/feedback to prescribers), engagement with front-line clinicians on optimizing prescribing, and AMS impact evaluation studies.

Applying the Behavior Change Technique Taxonomy to Four Multicomponent Childhood Obesity Interventions.

Applying the Behavior Change Technique Taxonomy has the potential to facilitate identification of effective childhood obesity intervention components. This article evaluates the feasibility of coding Childhood Obesity Prevention and Treatment Consortium interventions and compares reliability between external taxonomy-familiar coders and internal intervention-familiar coders. After training, coder pairs independently coded prespecified portions of intervention materials. An adjudication process was used to explore coding discrepancies. Reliability between internal and external coders was moderate (prevalence and bias-adjusted kappa .38 to .55). Reliability for specific target behaviors varied with substantial agreement for physical activity (.63 to .76) and moderate for dietary intake (.44 to .63). Applying the taxonomy to these interventions was feasible, but agreement was modest. Coding discrepancies highlight the importance of refining coding to capture the complexities of childhood obesity interventions, which often engage multiple recipients (e.g., parents and/or children) and address multiple behaviors (e.g., diet, physical activity, screen time).

What the guide does not tell you: reflections on and lessons learned from applying the COM-B behavior model for designing real life interventions.

Substantial inconsistency exists in the effectiveness of existing interventions to improve heart failure (HF) self-care, which can be partially explained by the fact that self-management interventions often lack theoretical models that underpin intervention development. The COM-B behavior model is a comprehensive theoretical framework that can be used to develop effective, theory-based interventions. The aim of this article is to highlight the challenges and practical solutions when applying the COM-B model to HF self-care, in order to provide useful support for researchers intending to use the model for designing behavior change interventions. "The Behaviour Change Wheel" handbook provides a step-by-step guide to understand and change behavior. When following the guide, some practical and methodological challenges were encountered. Lessons learnt to overcome these challenges are reported. Although the handbook is a comprehensive guide for designing behavior change interventions, a number of challenges arose. For example, the descriptions provided in the guide were not always sufficient to make solid judgments on how to categorize determinants; narrowing down intervention possibilities to a manageable number and prioritizing potential behavior change techniques over others involved a certain amount of subjectivity in an otherwise highly systematic and structured approach. For the encountered challenges, solutions are provided to illustrate how the model was applied practically to design theory-based behavior change interventions. This article provides a useful reference for researchers' use of the COM-B behavior model, as it outlines challenges that may occur and potential solutions to overcome them.

PARTNER: a service delivery model to implement optimal primary care management of people with knee osteoarthritis: description of development.

OBJECTIVE: Implementation strategies, such as new models of service delivery, are needed to address evidence practice gaps. This paper describes the process of developing and operationalising a new model of service delivery to implement recommended care for people with knee osteoarthritis (OA) in a primary care setting. METHODS: Three development stages occurred concurrently and iteratively. Each stage considered the healthcare context and was informed by stakeholder input. Stage 1 involved the design of a new model of service delivery (PARTNER). Stage 2 developed a behavioural change intervention targeting general practitioners (GPs) using the behavioural change wheel framework. In stage 3, the 'Care Support Team' component of the service delivery model was operationalised. RESULTS: The focus of PARTNER is to provide patients with education, exercise and/or weight loss advice, and facilitate effective self-management through behavioural change support. Stage 1 model design: based on clinical practice guidelines, known evidence practice gaps in current care, chronic disease management frameworks, input from stakeholders and the opportunities and constraints afforded by the Australian primary care context, we developed the PARTNER service-delivery model. The key components are: (1) an effective GP consultation and (2) follow-up and ongoing care provided remotely (telephone/email/online resources) by a 'Care Support Team'. Stage 2 GP behavioural change intervention: a multimodal behavioural change intervention was developed comprising a self-audit/feedback activity, online professional development and desktop software to provide decision support, patient information resources and a referral mechanism to the 'Care Support Team'. Stage 3 operationalising the 'care support team'-staff recruited and trained in evidence-based knee OA management and behavioural change methodology. CONCLUSION: The PARTNER model is the result of a comprehensive implementation strategy development process using evidence, behavioural change theory and intervention development guidelines. Technologies for scalable delivery were harnessed and new primary evidence was generated as part of the process.Trial registration number ACTRN12617001595303 (UTN U1111-1197-4809).

Influences on NHS Health Check behaviours: a systematic review.

BACKGROUND: National Health Service Health Checks were introduced in 2009 to reduce cardiovascular disease (CVD) risks and events. Since then, national evaluations have highlighted the need to maximise the programme's impact by improving coverage and outputs. To address these challenges it is important to understand the extent to which positive behaviours are influenced across the NHS Health Check pathway and encourage the promotion or minimisation of behavioural facilitators and barriers respectively. This study applied behavioural science frameworks to: i) identify behaviours and actors relevant to uptake, delivery and follow up of NHS Health Checks and influences on these behaviours and; ii) signpost to example intervention content. METHODS: A systematic review of studies reporting behaviours related to NHS Health Check-related behaviours of patients, health care professionals (HCPs) and commissioners. Influences on behaviours were coded using theory-based models: COM-B and Theoretical Domains Framework (TDF). Potential intervention types and behaviour change techniques (BCTs) were suggested to target key influences. RESULTS: We identified 37 studies reporting nine behaviours and influences for eight of these. The most frequently identified influences were physical opportunity including HCPs having space and time to deliver NHS Health Checks and patients having money to adhere to recommendations to change diet and physical activity. Other key influences were motivational, such as beliefs about consequences about the value of NHS Health Checks and behaviour change, and social, such as influences of others on behaviour change. The following techniques are suggested for websites or smartphone apps: Adding objects to the environment, e.g. provide HCPs with electronic schedules to guide timely delivery of Health Checks to target physical opportunity, Social support (unspecified), e.g. include text suggesting patients to ask a colleague to agree in advance to join them in taking the 'healthy option' lunch at work; Information about health consequences, e.g. quotes and/or videos from patients talking about the health benefits of changes they have made. CONCLUSIONS: Through the application of behavioural science we identified key behaviours and their influences which informed recommendations for intervention content. To ascertain the extent to which this reflects existing interventions we recommend a review of relevant evidence.

Content and Mechanism of Action of National Antimicrobial Stewardship Interventions on Management of Respiratory Tract Infections in Primary and Community Care.

A major modifiable factor contributing to antimicrobial resistance (AMR) is inappropriate use and overuse of antimicrobials, such as antibiotics. This study aimed to describe the content and mechanism of action of antimicrobial stewardship (AMS) interventions to improve appropriate antibiotic use for respiratory tract infections (RTI) in primary and community care. This study also aimed to describe who these interventions were aimed at and the specific behaviors targeted for change. Evidence-based guidelines, peer-review publications, and infection experts were consulted to identify behaviors relevant to AMS for RTI in primary care and interventions to target these behaviors. Behavior change tools were used to describe the content of interventions. Theoretical frameworks were used to describe mechanisms of action. A total of 32 behaviors targeting six different groups were identified (patients; prescribers; community pharmacists; providers; commissioners; providers and commissioners). Thirty-nine interventions targeting the behaviors were identified (patients = 15, prescribers = 22, community pharmacy staff = 8, providers = 18, and commissioners = 18). Interventions targeted a mean of 5.8 behaviors (range 1-27). Influences on behavior most frequently targeted by interventions were psychological capability (knowledge and skills); reflective motivation (beliefs about consequences, intentions, social/professional role and identity); and physical opportunity (environmental context and resources). Interventions were most commonly characterized as achieving change by training, enabling, or educating and were delivered mainly through guidelines, service provision, and communications & marketing. Interventions included a mean of four Behavior Change Techniques (BCTs) (range 1-14). We identified little intervention content targeting automatic motivation and social opportunity influences on behavior. The majority of interventions focussed on education and training, which target knowledge and skills though the provision of instructions on how to perform a behavior and information about health consequences. Interventions could be refined with the inclusion of relevant BCTs, such as goal-setting and action planning (identified in only a few interventions), to translate instruction on how to perform a behavior into action. This study provides a platform to refine content and plan evaluation of antimicrobial stewardship interventions.

Reducing catheter-associated urinary tract infections: a systematic review of barriers and facilitators and strategic behavioural analysis of interventions.

BACKGROUND: Reducing the need for antibiotics is crucial in addressing the global threat of antimicrobial resistance. Catheter-associated urinary tract infection (CAUTI) is one of the most frequent device-related infections that may be amenable to prevention. Interventions implemented nationally in England target behaviours related to catheter insertion, maintenance and removal, but the extent to which they target barriers to and facilitators of these behaviours is unclear. This strategic behavioural analysis applied behavioural science frameworks to (i) identify barriers to and facilitators of behaviours that lead to CAUTI (CAUTI-related behaviours) in primary, community and secondary care and nursing homes; (ii) describe the content of nationally adopted interventions; and (iii) assess the extent to which intervention content is theoretically congruent with barriers and facilitators. METHODS: A mixed-methods, three-phased study: (1) systematic review of 25 studies to identify (i) behaviours relevant to CAUTI and (ii) barriers to and facilitators of CAUTI-related behaviours, classified using the COM-B model and Theoretical Domains Framework (TDF); (2) content analysis of nationally adopted CAUTI interventions in England identified through stakeholder consultation, classified using the Behaviour Change Wheel (BCW) and Behaviour Change Techniques Taxonomy (BCTTv1); and (3) findings from 1 and 2 were linked using matrices linking COM-B and TDF to BCW/BCTTv1 in order to signpost to intervention design and refinement. RESULTS: The most frequently reported barriers to and facilitators of CAUTI-related behaviours related to 'environmental context and resources'; 'knowledge'; 'beliefs about consequences'; 'social influences'; 'memory, attention and decision processes'; and 'social professional role and identity.' Eleven interventions aiming to reduce CAUTI were identifed. Interventions were primarily guidelines and included on average 2.3 intervention functions (1-5) and six BCTs (2-11), most frequently 'education', 'training' and 'enablement.' The most frequently used BCT was 'information about health consequences' which was used in almost all interventions. Social professional role and identity and environmental context and resources were targeted least frequently with potentially relevant BCTs. CONCLUSIONS: Interventions incorporated half the potentially relevant content to target identifed barriers to and facilitators of CAUTI-related behaviours. There were missed opportunities for intervention as most focus on shaping knowledge rather than addressing motivational, social and environmental influences. This study suggests that targeting motivational, social and environmental influences may lead to more effective intervention design and refinement.

Optimising Interventions for Catheter-Associated Urinary Tract Infections (CAUTI) in Primary, Secondary and Care Home Settings.

Catheter-associated urinary tract infections (CAUTI) are common yet preventable. Healthcare professional behaviours, such as reducing unnecessary catheter use, are key for preventing CAUTI. Previous research has focused on identifying gaps in the national response to CAUTI in multiple settings in England. This study aimed to identify how national interventions could be optimised. We conducted a multi-method study comprising: a rapid review of research on interventions to reduce CAUTI; a behavioural analysis of effective research interventions compared to national interventions; and a stakeholder focus group and survey to identify the most promising options for optimising interventions. We identified 37 effective research interventions, mostly conducted in United States secondary care. A behavioural analysis of these interventions identified 39 intervention components as possible ways to optimise national interventions. Seven intervention components were prioritised by stakeholders. These included: checklists for discharge/admission to wards; information for patients and relatives about the pros/cons of catheters; setting and profession specific guidelines; standardised nationwide computer-based documentation; promotion of alternatives to catheter use; CAUTI champions; and bladder scanners. By combining research evidence, behavioural analysis and stakeholder feedback, we identified how national interventions to reduce CAUTI could be improved. The seven prioritised components should be considered for future implementation.

TIA and minor stroke: a qualitative study of long-term impact and experiences of follow-up care.

BACKGROUND: Transient ischaemic attack (TIA) and minor stroke are often considered transient events; however, many patients experience residual problems and reduced quality of life. Current follow-up healthcare focuses on stroke prevention and care for other long-term problems is not routinely provided. We aimed to explore patient and healthcare provider (HCP) experiences of residual problems post-TIA/minor stroke, the impact of TIA/minor stroke on patients' lives, and current follow-up care and sources of support. METHODS: This qualitative study recruited participants from three TIA clinics, seven general practices and one community care trust in the West Midlands, England. Semi-structured interviews were conducted with 12 TIA/minor stroke patients and 24 HCPs from primary, secondary and community care. Data was analysed using framework analysis. RESULTS: A diverse range of residual problems were reported post-TIA/minor stroke, including psychological, cognitive and physical impairments. Consultants and general practitioners generally lacked awareness of these long-term problems; however, there was better recognition among nurses and allied HCPs. Residual problems significantly affected patients' lives, including return to work, social activities, and relationships with family and friends. Follow-up care was variable and medically focused. While HCPs prioritised medical investigations and stroke prevention medication, patients emphasised the importance of understanding their diagnosis, individualised support regarding stroke risk, and addressing residual problems. CONCLUSION: HCPs could better communicate information about TIA/minor stroke diagnosis and secondary stroke prevention using lay language, and improve their identification of and response to important residual impairments affecting patients.

How Can National Antimicrobial Stewardship Interventions in Primary Care Be Improved? A Stakeholder Consultation.

Many antimicrobial stewardship (AMS) interventions have been implemented in England, facilitating decreases in antibiotic prescribing. Nevertheless, there is substantial variation in antibiotic prescribing across England and some healthcare organizations remain high prescribers of antibiotics. This study aimed to identify ways to improve AMS interventions to further optimize antibiotic prescribing in primary care in England. Stakeholders representing different primary care settings were invited to, and 15 participated in, a focus group or telephone interview to identify ways to improve existing AMS interventions. Forty-five intervention suggestions were generated and 31 were prioritized for inclusion in an online survey. Fifteen stakeholders completed the survey appraising each proposed intervention using the pre-defined APEASE (i.e., Affordability, Practicability, Effectiveness, Acceptability, Safety, and Equity) criteria. The highest-rated nine interventions were prioritized as most promising and feasible, including: quality improvement, multidisciplinary peer learning, appointing AMS leads, auditing individual-level prescribing, developing tools for prescribing audits, improving inductions for new prescribers, ensuring consistent local approaches to antibiotic prescribing, providing online AMS training to all patient-facing staff, and increasing staff time available for AMS work with standardizing AMS-related roles. These prioritized interventions could be incorporated into existing national interventions or developed as stand-alone interventions to help further optimize antibiotic prescribing in primary care in England.