Applying the Consolidated Framework for Implementation Research to investigate factors of implementing alcohol screening and brief intervention among primary care physicians and nurses in Hong Kong, China: an exploratory sequential mixed-method study.

BACKGROUND: Alcohol screening and brief intervention (SBI) is an evidence-based intervention recommended by the World Health Organization. This study applied the Consolidated Framework for Implementation Research (CFIR) to understand facilitators and barriers of SBI implementation in primary care settings in Hong Kong, China. METHODS: This was a sequential mixed-method study. In-depth interviews of 21 physicians and 20 nurses working in the primary care settings from the public and private sectors were first conducted to identify CFIR constructs that were relevant to SBI implementation in the Chinese context and potential factors not covered by the CFIR. A questionnaire was then developed based on the qualitative findings to investigate factors associated with SBI implementation among 282 physicians and 295 nurses. RESULTS: The in-depth interviews identified 22 CFIR constructs that were facilitators or barriers of SBI implementation in Hong Kong. In addition, the stigmatization of alcohol dependence was a barrier and the belief that it was important for people to control the amount of alcohol intake in any situation was mentioned as a facilitator to implement SBI. In the survey, 22% of the participants implemented SBI in the past year. Factors associated with the SBI implementation echoed most of the qualitative findings. Among physicians and nurses in both sectors, they were more likely to implement SBI when perceiving stronger evidence supporting SBI, better knowledge and self-efficacy to implement SBI, more available resources, and clearer planning for SBI implementation in the clinics but less likely to do so when perceiving SBI implementation to be complicated and of higher cost, and drinking approved by the Chinese culture. Participants were more likely to implement SBI when perceiving SBI fit better with the existing practice and better leadership engagement in the public sector, but not in the private sector. Perceiving a stronger need and greater importance to implement SBI were associated with higher likelihood of SBI implementation among physicians, but not among nurses. Perceiving better organizational culture supporting SBI was positively associated with SBI implementation among nurses, but not among physicians. CONCLUSIONS: There was a significant gap between SBI evidence and its implementation. Some strategies to improve SBI implementation may be different between physicians and nurses and between those in the public and private sectors. The CFIR is a useful framework for understanding facilitators and barriers of SBI implementation in primary care settings.

How can a behavioral economics lens contribute to implementation science?

BACKGROUND: Implementation science in health is an interdisciplinary field with an emphasis on supporting behavior change required when clinicians and other actors implement evidence-based practices within organizational constraints. Behavioral economics has emerged in parallel and works towards developing realistic models of how humans behave and categorizes a wide range of features of choices that can influence behavior. We argue that implementation science can be enhanced by the incorporation of approaches from behavioral economics. Main body First, we provide a general overview of implementation science and ways in which implementation science has been limited to date. Second, we review principles of behavioral economics and describe how concepts from BE have been successfully applied to healthcare including nudges deployed in the electronic health record. For example, de-implementation of low-value prescribing has been supported by changing the default in the electronic health record. We then describe what a behavioral economics lens offers to existing implementation science theories, models and frameworks, including rich and realistic models of human behavior, additional research methods such as pre-mortems and behavioral design, and low-cost and scalable implementation strategies. We argue that insights from behavioral economics can guide the design of implementation strategies and the interpretation of implementation studies. Key objections to incorporating behavioral economics are addressed, including concerns about sustainment and at what level the strategies work. CONCLUSION: Scholars should consider augmenting implementation science theories, models, and frameworks with relevant insights from behavioral economics. By drawing on these additional insights, implementation scientists have the potential to boost efforts to expand the provision and availability of high quality care.

Generation Pep - study protocol for an intersectoral community-wide physical activity and healthy eating habits initiative for children and young people in Sweden.

Background: There is overwhelming evidence for the preventive effects of regular physical activity and healthy eating habits on the risk for developing a non-communicable disease (NCD). Increasing attention has been paid to community-wide approaches in the battle against NCDs. Communities can create supportive policies, modify physical environments, and foster local stakeholder engagement through intersectoral collaboration to encourage communities to support healthy lifestyles. The Pep initiative is based on intersectoral community-wide collaboration among Sweden's municipalities. Primary targets are municipality professionals who work with children and young people as well as parents of children <18 years. The goal is to spread knowledge and create commitment to children's and young people's health with a special focus on physical activity and healthy eating habits to facilitate and support a healthy lifestyle. The overarching aim of the research project described in this study protocol is to investigate factors that influence the implementation of the Pep initiative in Sweden, to inform tailored implementation strategies addressing the needs and local prerequisites of the different municipalities. Methods: The project includes a qualitative and a quantitative study and is framed by a theoretical model involving four complementary forms of knowledge, explicitly recognized in the Pep initiative: knowledge about the issue; knowledge about interventions; knowledge about the context; and knowledge about implementation. Study 1 is a focus group study exploring barriers and facilitators for implementing the Pep initiative. The study will be carried out in six municipalities, selected purposively to provide wide variation in municipality characteristics, including population size and geographical location. Data will be analyzed using thematic analysis. Study 2 is a cross-sectional web-based survey investigating the implementability of the Pep initiative in Sweden's 290 municipalities. Conditions for implementing different areas of the Pep initiative will be examined in terms of the acceptability, appropriateness, and feasibility, three predictors of implementation success. Data will be analyzed using non-parametric statistics. Discussion: The findings of the two studies will increase understanding of the prerequisites for implementing the Pep initiative in Swedish municipalities, which will provide valuable input into how implementation of the Pep initiative can best be facilitated in the different municipality settings.

Influences of specialty identity when implementing a new emergency department in Denmark: a qualitative study.

BACKGROUND: The Danish Health Authority recommended the implementation of new types of emergency departments. Organizational changes in the hospital sector challenged the role, identity, and autonomy of medical specialists. They tend to identify with their specialty, which can challenge successful implementation of change. However, investigations on specialty identity are rare in implementation science, and how the co-existence of different specialty identities influences the implementation of new emergency departments needs to be explored for the development of tailored implementation strategies. The aim of this study was to examine how medical specialty identity influences collaboration between physicians when implementing a new emergency department in Denmark. METHODS: Qualitative methods in the form of participants' observations at 13 oilcloth sessions (a micro-simulation method) were conducted followed up by 53 individual semi-structured interviews with participants from the oilcloth sessions. Out of the 53 interviews, 26 were conducted with specialists. Data from their interviews are included in this study. Data were analysed deductively inspired by Social Identity Theory. RESULTS: The analysis yielded three overarching themes: [1] ongoing creation and re-creation of specialty identity through boundary drawing; [2] social categorization and power relations; and [3] the patient as a boundary object. CONCLUSIONS: Specialty identity is an important determinant of collaboration among physicians when implementing a new emergency department. Specialty identity involves social categorization, which entails ongoing creation and re-creation of boundary drawing and exercising of power among the physicians. In some situations, the patient became a positive boundary object, increasing the possibility for a successful collaboration and supporting successful implementation, but direct expressions of boundaries and mistrust were evident. Both were manifested through a dominating power expressed through social categorization in the form of in- and out-groups and in an "us and them" discourse, which created distance and separation among physicians from different specialties. This distancing and separation became a barrier to the implementation of the new emergency department.

A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project.

BACKGROUND: Artificial intelligence (AI) has the potential in health care to transform patient care and administrative processes, yet health care has been slow to adopt AI due to many types of barriers. Implementation science has shown the importance of structured implementation processes to overcome implementation barriers. However, there is a lack of knowledge and tools to guide such processes when implementing AI-based applications in health care. OBJECTIVE: The aim of this protocol is to describe the development, testing, and evaluation of a framework, "Artificial Intelligence-Quality Implementation Framework" (AI-QIF), intended to guide decisions and activities related to the implementation of various AI-based applications in health care. METHODS: The paper outlines the development of an AI implementation framework for broad use in health care based on the Quality Implementation Framework (QIF). QIF is a process model developed in implementation science. The model guides the user to consider implementation-related issues in a step-by-step design and plan and perform activities that support implementation. This framework was chosen for its adaptability, usability, broad scope, and detailed guidance concerning important activities and considerations for successful implementation. The development will proceed in 5 phases with primarily qualitative methods being used. The process starts with phase I, in which an AI-adapted version of QIF is created (AI-QIF). Phase II will produce a digital mockup of the AI-QIF. Phase III will involve the development of a prototype of the AI-QIF with an intuitive user interface. Phase IV is dedicated to usability testing of the prototype in health care environments. Phase V will focus on evaluating the usability and effectiveness of the AI-QIF. Cocreation is a guiding principle for the project and is an important aspect in 4 of the 5 development phases. The cocreation process will enable the use of both on research-based and practice-based knowledge. RESULTS: The project is being conducted within the frame of a larger research program, with the overall objective of developing theoretically and empirically informed frameworks to support AI implementation in routine health care. The program was launched in 2021 and has carried out numerous research activities. The development of AI-QIF as a tool to guide the implementation of AI-based applications in health care will draw on knowledge and experience acquired from these activities. The framework is being developed over 2 years, from January 2023 to December 2024. It is under continuous development and refinement. CONCLUSIONS: The development of the AI implementation framework, AI-QIF, described in this study protocol aims to facilitate the implementation of AI-based applications in health care based on the premise that implementation processes benefit from being well-prepared and structured. The framework will be coproduced to enhance its relevance, validity, usefulness, and potential value for application in practice. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/50216.

Implementing AI in healthcare-the relevance of trust: a scoping review.

Background: The process of translation of AI and its potential benefits into practice in healthcare services has been slow in spite of its rapid development. Trust in AI in relation to implementation processes is an important aspect. Without a clear understanding, the development of effective implementation strategies will not be possible, nor will AI advance despite the significant investments and possibilities. Objective: This study aimed to explore the scientific literature regarding how trust in AI in relation to implementation in healthcare is conceptualized and what influences trust in AI in relation to implementation in healthcare. Methods: This scoping review included five scientific databases. These were searched to identify publications related to the study aims. Articles were included if they were published in English, after 2012, and peer-reviewed. Two independent reviewers conducted an abstract and full-text review, as well as carrying out a thematic analysis with an inductive approach to address the study aims. The review was reported in accordance with the PRISMA-ScR guidelines. Results: A total of eight studies were included in the final review. We found that trust was conceptualized in different ways. Most empirical studies had an individual perspective where trust was directed toward the technology's capability. Two studies focused on trust as relational between people in the context of the AI application rather than as having trust in the technology itself. Trust was also understood by its determinants and as having a mediating role, positioned between characteristics and AI use. The thematic analysis yielded three themes: individual characteristics, AI characteristics and contextual characteristics, which influence trust in AI in relation to implementation in healthcare. Conclusions: Findings showed that the conceptualization of trust in AI differed between the studies, as well as which determinants they accounted for as influencing trust. Few studies looked beyond individual characteristics and AI characteristics. Future empirical research addressing trust in AI in relation to implementation in healthcare should have a more holistic view of the concept to be able to manage the many challenges, uncertainties, and perceived risks.

Toward a more comprehensive understanding of organizational influences on implementation: the organization theory for implementation science framework.

Introduction: Implementation is influenced by factors beyond individual clinical settings. Nevertheless, implementation research often focuses on factors related to individual providers and practices, potentially due to limitations of available frameworks. Extant frameworks do not adequately capture the myriad organizational influences on implementation. Organization theories capture diverse organizational influences but remain underused in implementation science. To advance their use among implementation scientists, we distilled 70 constructs from nine organization theories identified in our previous work into theoretical domains in the Organization Theory for Implementation Science (OTIS) framework. Methods: The process of distilling organization theory constructs into domains involved concept mapping and iterative consensus-building. First, we recruited organization and implementation scientists to participate in an online concept mapping exercise in which they sorted organization theory constructs into domains representing similar theoretical concepts. Multidimensional scaling and hierarchical cluster analyses were used to produce visual representations (clusters) of the relationships among constructs in concept maps. Second, to interpret concept maps, we engaged members of the Cancer Prevention and Control Research Network (CPCRN) OTIS workgroup in consensus-building discussions. Results: Twenty-four experts participated in concept mapping. Based on resulting construct groupings' coherence, OTIS workgroup members selected the 10-cluster solution (from options of 7-13 clusters) and then reorganized clusters in consensus-building discussions to increase coherence. This process yielded six final OTIS domains: organizational characteristics (e.g., size; age); governance and operations (e.g., organizational and social subsystems); tasks and processes (e.g., technology cycles; excess capacity); knowledge and learning (e.g., tacit knowledge; sense making); characteristics of a population of organizations (e.g., isomorphism; selection pressure); and interorganizational relationships (e.g., dominance; interdependence). Discussion: Organizational influences on implementation are poorly understood, in part due to the limitations of extant frameworks. To improve understanding of organizational influences on implementation, we distilled 70 constructs from nine organization theories into six domains. Applications of the OTIS framework will enhance understanding of organizational influences on implementation, promote theory-driven strategies for organizational change, improve understanding of mechanisms underlying relationships between OTIS constructs and implementation, and allow for framework refinement. Next steps include testing the OTIS framework in implementation research and adapting it for use among policymakers and practitioners.

A scoping review of implementation science theories, models, and frameworks - an appraisal of purpose, characteristics, usability, applicability, and testability.

BACKGROUND: A proliferation of theories, models, and frameworks (TMFs) have been developed in the implementation science field to facilitate the implementation process. The basic features of these TMFs have been identified by several reviews. However, systematic appraisals on the quality of these TMFs are inadequate. To fill this gap, this study aimed to assess the usability, applicability, and testability of the current TMFs in a structured way. METHODS: A scoping review method was employed. Electronic databases were searched to locate English and Chinese articles published between January 2000 and April 2022. Search terms were specific to implementation science. Additionally, hand searches were administered to identify articles from related reviews. Purpose and characteristics such as the type of TMF, analytical level, and observation unit were extracted. Structured appraisal criteria were adapted from Birken et al.'s Theory Comparison and Selection Tool (T-CaST) to conduct an in-depth analysis of the TMFs' usability, applicability, and testability. RESULTS: A total of 143 TMFs were included in this analysis. Among them, the most common purpose was to identify barriers and facilitators. Most TMFs applied the descriptive method to summarize the included constructs or the prescriptive method to propose courses of implementation actions. TMFs were mainly mid-range theories built on existing conceptual frameworks or demonstrated grand theories. The usability of the TMFs needs to be improved in terms of the provision of conceptually matched strategies to barriers and facilitators and instructions on the TMFs usage. Regarding the applicability, little attention was paid to the constructs of macro-level context, stages of scale-up and sustainability, and implementation outcomes like feasibility, cost, and penetration. Also, fewer TMFs could propose recommended research and measurement methods to apply the TMFs. Lastly, explicit hypotheses or propositions were lacking in most of the TMFs, and empirical evidence was lacking to support the claimed mechanisms between framework elements in testability. CONCLUSIONS: Common limitations were found in the usability, application, and testability of the current TMFs. The findings of this review could provide insights for developers of TMFs for future theoretical advancements.

Acceptability of restrictions in the COVID-19 pandemic: a population-based survey in Denmark and Sweden.

Introduction: Denmark and Sweden initially adopted different responses to the COVID-19 pandemic although the two countries share many characteristics. Denmark responded swiftly with many mandatory restrictions. In contrast, Sweden relied on voluntary restrictions and a more "relaxed" response during the first wave of the pandemic. However, increased rates of COVID-19 cases led to a new approach that involved many more mandatory restrictions, thus making Sweden's response similar to Denmark's in the second wave of the pandemic. Aim: The aim was to investigate and compare the extent to which the populations in Denmark and Sweden considered the COVID-19 restrictions to be acceptable during the first two waves of the pandemic. The study also aimed to identify the characteristics of those who were least accepting of the restrictions in the two countries. Materials and methods: Cross-sectional surveys were conducted in Denmark and Sweden in 2021. The study population was sampled from nationally representative web panels in the two countries, consisting of 2,619 individuals from Denmark and 2,633 from Sweden. The questionnaire captured key socio-demographic characteristics. Acceptability was operationalized based on a theoretical framework consisting of seven constructs and one overarching construct. Results: The respondents' age and gender patterns were similar in the two countries. The proportion of respondents in Denmark who agreed with the statements ("agree" alternative) that captured various acceptability constructs was generally higher for the first wave than the second wave of the pandemic. The opposite pattern was seen for Sweden. In Denmark, 66% in the first wave and 50% in the second wave were accepting of the restrictions. The corresponding figures for Sweden was 42% (first wave) and 47% (second wave). Low acceptance of the restrictions, defined as the 25% with the lowest total score on the seven acceptability statements, was associated with younger age, male gender and lower education levels. Conclusion: Respondents in Sweden were more accepting of the restrictions in the second wave, when the country used many mandatory restrictions. In contrast, respondents in Denmark were more accepting of the restrictions in the first wave than in the second wave, implying an increased weariness to comply with the restrictions over time. There were considerable socio-demographic differences between those who expressed low acceptance of the restrictions and the others in both countries, suggesting the importance of tailoring communication about the pandemic to different segments of the population.

Barriers and Facilitators to Implementing Interventions for Reducing Avoidable Hospital Readmission: Systematic Review of Qualitative Studies.

BACKGROUND: Avoidable hospital readmission is a major problem among health systems. Although there are effective peri-discharge interventions for reducing avoidable hospital readmission, successful implementation is challenging. This systematic review of qualitative studies aimed to identify barriers and facilitators to implementing peri-discharge interventions from providers' and service users' perspectives. METHODS: We searched four databases for potentially eligible qualitative studies from databases' inception to March 2020, and updated literature search for studies published between January 2020 to October 2021. Barriers and facilitators to implementing peri-discharge interventions were identified and mapped onto the Consolidated Framework for Implementation Research (CFIR) constructs. Inductive analysis of the CFIR constructs was performed to yield thematic areas that illustrated the relationship between various facilitators and barriers, generating practical insights to key implementation issues. RESULTS: Thirteen qualitative studies were included in this systematic review. Key issues were clustered in the CFIR constructs of Design Quality and Complexity of the intervention, strength of Network and Communication, being responsive to Patient Needs with sufficient Resource support, and External Incentives. The three thematic areas were rationality of the interventions, readiness and effort of multidisciplinary implementation teams, and influence of external stakeholders. Common barriers included (i) limited resources, (ii) poor communication among team members, (iii) incompatibility between the new intervention and existing work routine, (iv) complicated implementation process, (v) low practicality of supporting instruments, and (vi) lack of understanding about the content and effectiveness of the new interventions. Common facilitators were (i) information sharing via regular meetings on implementation issues, (ii) organizational culture that values quality and accountability, (iii) financial penalties for hospitals with high avoidable readmissions rates, (iv) external support offered via quality improvement programs and community resources, and (v) senior leadership support. CONCLUSION: This study synthesized commonly-presenting barriers and facilitators to implementing peri-discharge interventions among different healthcare organizations. Findings may inform development of implementation strategies in different health systems after appropriate tailoring, based on a consensus-based formative research process.

Healthcare in distress: A survey of mental health problems and the role of gender among nurses and physicians in Sweden.

INTRODUCTION: The present article aimed to investigate 1) if mental health problems (depression and burnout including the dimensions; emotional exhaustion, mental distance and cognitive and emotional impairment) differed between nurses and physicians in Sweden, 2) if any differences were explained by differences in sex compositions, and 3) if any sex differences were larger within either of the two professions. METHOD: Data were derived from a representative sample of nurses (n = 2903) and physicians (n = 2712) in 2022. Two scales were used to assess burnout (KEDS and BAT) and one to assess depression (SCL-6). The BAT scale has four sub-dimensions. Descriptive statistics and logistic regression were used to analyse each scale and dimension separately. RESULTS: Results showed that 16-28 % of nurses and physicians reported moderate to severe symptoms of burnout. The prevalence differed between occupations across the scales and dimensions used. Nurses reported higher scores on KEDS while physicians reported higher scores on BAT including the four dimensions. Also, 7 % of nurses' and 6 % of physicians' scores were above the cut-off for major depression. The inclusion of sex in the models changed the odds ratios of differences between doctors and nurses in all mental health dimensions except mental distance and cognitive impairment. LIMITATIONS: This study was based on cross-sectional survey data which has some limitations. CONCLUSION: Our study suggests that the prevalence of mental health problems is prominent among nurses and physicians in Sweden. Sex plays an important role in the difference in the prevalence of mental health problems between the two professions.

Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence-a qualitative interview study with healthcare leaders in Sweden.

BACKGROUND: Despite the extensive hopes and expectations for value creation resulting from the implementation of artificial intelligence (AI) applications in healthcare, research has predominantly been technology-centric rather than focused on the many changes that are required in clinical practice for the technology to be successfully implemented. The importance of leaders in the successful implementation of innovations in healthcare is well recognised, yet their perspectives on the specific innovation characteristics of AI are still unknown. The aim of this study was therefore to explore the perceptions of leaders in healthcare concerning the innovation characteristics of AI intended to be implemented into their organisation. METHODS: The study had a deductive qualitative design, using constructs from the innovation domain in the Consolidated Framework for Implementation Research (CFIR). Interviews were conducted with 26 leaders in healthcare. RESULTS: Participants perceived that AI could provide relative advantages when it came to care management, supporting clinical decisions, and the early detection of disease and risk of disease. The development of AI in the organisation itself was perceived as the main current innovation source. The evidence base behind AI technology was questioned, in relation to its transparency, potential quality improvement, and safety risks. Although the participants acknowledged AI to be superior to human action in terms of effectiveness and precision in some situations, they also expressed uncertainty about the adaptability and trialability of AI. Complexities such as the characteristics of the technology, the lack of conceptual consensus about AI, and the need for a variety of implementation strategies to accomplish transformative change in practice were identified, as were uncertainties about the costs involved in AI implementation. CONCLUSION: Healthcare leaders not only saw potential in the technology and its use in practice, but also felt that AI's opacity limits its evidence strength and that complexities in relation to AI itself and its implementation influence its current use in healthcare practice. More research is needed based on actual experiences using AI applications in real-world situations and their impact on clinical practice. New theories, models, and frameworks may need to be developed to meet challenges related to the implementation of AI in healthcare.

Integrative oncology in cancer care - implementation factors: mixed-methods systematic review.

BACKGROUND: Integrative oncology (IO) appears to be beneficial to patients with cancer, but its implementation remains a challenge. Guided by the Theoretical Domains Framework (TDF) and the Capability-Opportunity-Motivation-Behaviour (COM-B) model, this systematic review identified the barriers to and facilitators of IO implementation in conventional cancer care settings. METHODS: We searched eight electronic databases from their inception until February 2022 for qualitative, quantitative or mixed-methods empirical studies reporting the implementation outcomes for IO services. Critical appraisal approach was tailored according to study types. The identified implementation barriers and facilitators were mapped onto TDF domains and the COM-B model, and subsequently onto the behavioural change wheel (BCW) for formulating behavioural change interventions. RESULTS: We included 28 studies (11 qualitative, 6 quantitative, 9 mixed-methods and 2 Delphi studies) of satisfied methodological quality. The main implementation barriers were the lack of IO knowledge, the absence of funding and healthcare professionals' low level of IO receptiveness. The key implementation facilitators were the dissemination of evidence on IO clinical benefits, the equipping of professionals with IO service delivery skills and the provision of a supportive organisational climate. CONCLUSION: Multifaceted implementation strategies are needed to address the determinants influencing IO service delivery. Based on our BCW-based analysis of the included studies, the key behavioural change techniques are: (1) educating healthcare professionals about the value and application of traditional and complementary medicine; (2) ensuring access to actionable clinical evidence on IO effectiveness and safety and (3) designing guidelines on communicating traditional and complementary medicine interventions with patients and caregivers for biomedically trained doctors and nurses.

Relationship Between Educational Level and Attitudes Towards Alcohol Conversations in Healthcare: A Cross-Sectional Survey Conducted in Four European Countries.

Objectives: To examine the association between educational level and attitudes towards alcohol conversations in healthcare using population-based surveys of adults in England, the Netherlands, Norway, and Sweden; and to compare attitudes towards alcohol conversations in healthcare between these four countries. Methods: Cross-sectional surveys were conducted amongst adults in the general population in England (n = 3,499), the Netherlands (n = 2,173), Norway (n = 1,208), and Sweden (n = 3,000). Logistic regression analysis was used to examine associations between attitudes towards alcohol conversations in healthcare and educational level, key demographic variables, alcohol consumption, and country of residence. Results: In all four countries, low educational level (p < 0.001) and male gender (p < 0.001) were associated with holding negative attitudes towards discussing alcohol in healthcare. Risky drinkers had more negative attitudes than low risky drinkers towards discussing alcohol in healthcare (p < 0.001) in all countries except England (p = 0.48), and also reported low levels of perceived honesty and confidence in healthcare (p < 0.001). Conclusion: These findings highlight the importance of considering patients' socio-economic status when developing and implementing alcohol prevention interventions in healthcare.

Strategies to reduce low-value care - An applied behavior analysis using a single-case design.

Introduction: Implementation science has traditionally focused on the implementation of evidence-based practices, but the field has increasingly recognized the importance of addressing de-implementation (i.e., the process of reducing low-value care). Most studies on de-implementation strategies have used a combination of strategies without addressing factors that sustain the use of LVC and there is a lack of information about which strategies are most effective and what mechanisms of change might underlie these strategies. Applied behavior analysis is an approach that could be a potential method to gain insights into the mechanisms of de-implementation strategies to reduce LVC. Three research questions are addressed in this study: What contingencies (three-term contingencies or rule-governing behavior) related to the use of LVC can be found in a local context and what strategies can be developed based on an analysis of these contingencies?; Do these strategies change targeted behaviors?; How do the participants describe the strategies' contingencies and the feasibility of the applied behavior analysis approach? Materials and methods: In this study, we used applied behavior analysis to analyze contingencies that maintain behaviors related to a chosen LVC, the unnecessary use of x-rays for knee arthrosis within a primary care center. Based on this analysis, strategies were developed and evaluated using a single-case design and a qualitative analysis of interview data. Results: Two strategies were developed: a lecture and feedback meetings. The results from the single-case data were inconclusive but some of the findings may indicate a behavior change in the expected direction. Such a conclusion is supported by interview data showing that participants perceived an effect in response to both strategies. Conclusion: The findings illustrate how applied behavior analysis can be used to analyze contingencies related to the use of LVC and to design strategies for de-implementation. It also shows an effect of the targeted behaviors even though the quantitative results are inconclusive. The strategies used in this study could be further improved to target the contingencies better by structuring the feedback meetings better and including more precise feedback.

Challenges of primary health care leadership during the COVID-19 pandemic in Sweden: a qualitative study of managers' experiences.

PURPOSE: At the outbreak of the COVID-19 pandemic, health care was at the centre of the crisis. New demands made existing organizational practices and services obsolete. Primary health care had a great deal of responsibility for COVID-19-related care. The pandemic demanded effective leadership to manage the new difficulties. This paper aims to explore experiences and perceptions of managers in primary health care in relation to their efforts to manage the COVID-19 crisis in their everyday work. DESIGN/METHODOLOGY/APPROACH: The authors used a qualitative approach based on 14 semi-structured interviews with managers in primary health care from four regions in Sweden. The interviews were conducted during September to December 2020. Data were analysed using conventional qualitative content analysis. FINDINGS: Data analysis yielded three categories: lonely in decision-making; stretched to the limit; and proud to have coped. The participants felt lonely in their decision-making, and they were stretched to the limit of their own and the organization's capacity. The psychosocial working conditions in primary care worsened considerably during the pandemic because demands on leaders increased while their ability to control the work situation decreased. However, they also expressed pride that they and their employees had managed the situation by being flexible and having a common focus. ORIGINALITY/VALUE: Looking ahead and using lessons learnt, and apart from making wise decisions under pressure, an important implication for primary health-care leaders is to not underestimate the power of acknowledging the virtues of humanity and justice during a crisis. Continuing professional education for leaders focusing on crisis leadership could help prepare leaders for future crises.

Implementation science in traditional, complementary and integrative medicine: An overview of experiences from China and the United States.

BACKGROUND: The introduction of traditional, complementary and integrative medicine (TCIM) services into health systems has been advocated by the World Health Organization, but there is a paucity of reviews synthesising the experiences of (i) implementing TCIM services in conventional healthcare settings and (ii) introducing evidence-based practice in TCIM. Knowledge of the first issue will assist policymakers to innovate implementation interventions in their own health system contexts. Addressing the second issue will facilitate the closure of the evidence-practice gap in TCIM and improve the translation of research evidence into health outcome benefits. PURPOSE: The aim of this study was to identify, describe and analyse publications on these two key TCIM policy issues via an overview from an implementation science perspective. METHODS: Publications describing international experiences of implementing TCIM services or evidence for TCIM practices were identified by searching MEDLINE, EMBASE and Global Health databases in November 2021. The findings were summarised using a narrative synthesis approach. RESULTS: Sixty-three relevant publications were included in the analysis. Current experiences in China and the United Sates (US) reflect varying policy priorities at different stages of implementing TCIM services. In the US, where TCIM have yet to be introduced into mainstream healthcare settings, implementation interventions were designed to facilitate the provision of specific, evidence-based TCIM modalities via referrals from conventional clinicians. The application of these strategies at the health system, regulatory, financial, community, provider and patient levels provided a comprehensive picture of how TCIM implementation may be facilitated via multi-level interventions. In China, the major form of TCIM is traditional Chinese medicine (TCM), for which service provision has already been adopted at all levels of healthcare. With the high volume of clinical research that has been generated in the past several decades, a key policy question at this stage is how to translate TCM-related clinical evidence into practice. The development of clinical practice guidelines (CPGs) is the main implementation intervention, but adherence by TCM clinicians has been poor, due to the conflict between classical individualised practice and CPG standardisation. While tailoring interventions to facilitate CPG uptake is indicated, concurrent innovations in TCM clinical research methods would improve the compatibility between classical and CPG-based practice. CONCLUSION: Policymakers managing different stages of TCIM implementation will benefit from the experiences of practitioners in the US and China. Multi-level implementation interventions launched in the US provide ideas for the initial introduction of TCIM into a conventional medicine-dominated health system. As TCIM service provision and related clinical research become more common, China's experience will inform how clinical evidence related to TCIM may be disseminated and implemented to improve service quality.

Registered nurses' efforts to ensure safety for home-dwelling older patients.

BACKGROUND: The international development of health care, an ageing population and rapid technical development mean that more care is being performed in patient homes. This care environment is often unpredictable and involves both formal and informal caregivers, making it potentially unsafe. There is sparse knowledge about how patient safety is protected in home health care in Sweden and how registered nurses work to prevent risks and promote safe care. AIM: The aim of the study was to explore registered nurses' efforts to reduce perceived risks for home-dwelling older patients and ensure safe home health care. METHOD: We used a qualitative design with individual interviews with 13 registered nurses working in municipalities in southeast Sweden. The narratives were analysed with inductive content analysis. FINDINGS: The findings showed that the registered nurses tried to secure a safe care environment and took an active role in care, striving to stay one step ahead of the patient. These three types of efforts are likely interdependent, suggesting they are all needed to reduce perceived risks for home-dwelling older patients and ensure patient safety in home health care. CONCLUSIONS: It is a challenge for registered nurses to maintain patient safety when performing care in patient homes. Continuity of care is required and must be based not only on self-reliance among registered nurses but also on trusting relationships with patients, next of kin, colleagues and other personnel, as well as on the development of organisational conditions adapted to patient needs.