Towards evidence-based practice 2.0: leveraging artificial intelligence in healthcare.

Background: Evidence-based practice (EBP) involves making clinical decisions based on three sources of information: evidence, clinical experience and patient preferences. Despite popularization of EBP, research has shown that there are many barriers to achieving the goals of the EBP model. The use of artificial intelligence (AI) in healthcare has been proposed as a means to improve clinical decision-making. The aim of this paper was to pinpoint key challenges pertaining to the three pillars of EBP and to investigate the potential of AI in surmounting these challenges and contributing to a more evidence-based healthcare practice. We conducted a selective review of the literature on EBP and the integration of AI in healthcare to achieve this. Challenges with the three components of EBP: Clinical decision-making in line with the EBP model presents several challenges. The availability and existence of robust evidence sometimes pose limitations due to slow generation and dissemination processes, as well as the scarcity of high-quality evidence. Direct application of evidence is not always viable because studies often involve patient groups distinct from those encountered in routine healthcare. Clinicians need to rely on their clinical experience to interpret the relevance of evidence and contextualize it within the unique needs of their patients. Moreover, clinical decision-making might be influenced by cognitive and implicit biases. Achieving patient involvement and shared decision-making between clinicians and patients remains challenging in routine healthcare practice due to factors such as low levels of health literacy among patients and their reluctance to actively participate, barriers rooted in clinicians' attitudes, scepticism towards patient knowledge and ineffective communication strategies, busy healthcare environments and limited resources. AI assistance for the three components of EBP: AI presents a promising solution to address several challenges inherent in the research process, from conducting studies, generating evidence, synthesizing findings, and disseminating crucial information to clinicians to implementing these findings into routine practice. AI systems have a distinct advantage over human clinicians in processing specific types of data and information. The use of AI has shown great promise in areas such as image analysis. AI presents promising avenues to enhance patient engagement by saving time for clinicians and has the potential to increase patient autonomy although there is a lack of research on this issue. Conclusion: This review underscores AI's potential to augment evidence-based healthcare practices, potentially marking the emergence of EBP 2.0. However, there are also uncertainties regarding how AI will contribute to a more evidence-based healthcare. Hence, empirical research is essential to validate and substantiate various aspects of AI use in healthcare.

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.

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.

Views on oral health determinants as described by persons with continuous positive airway pressure-treated obstructive sleep apnoea: a qualitative study.

BACKGROUND: Oral diseases have been associated with cardiovascular diseases, and persons with continuous positive airway pressure [CPAP]-treated obstructive sleep apnoea [OSA] have an increased risk for negative consequences for both oral and general health. CPAP treatment is often life-long and adherence to treatment is essential. Xerostomia is a common side-effect which can lead to treatment abandonment. Oral health is a changeable part of our general health and well-being and exploring the views of oral health determinants from persons with experience of CPAP-treatment is important to prevent adverse oral health outcomes. The purpose of this study was to explore what persons with experience of CPAP-treated OSA view as determinants for their oral health. METHODS: Eighteen persons with long-term experience of CPAP-treated OSA were purposively selected. Data were collected by semi-structured individual interviews. A code book based on the World Dental Federation's [FDI] theoretical framework for oral health was developed and used to analyse the data using directed content analysis. The domains in the framework's component driving determinants were used as pre-determined categories. Using the description of driving determinants as a guide, meaning units were extracted from the interview transcripts through an inductive approach. Then, by employing a deductive approach the code book was used to categorise the meaning units into the pre-determined categories. FINDINGS: The views on oral health determinants described by the informants were compatible with the five domains in the component driving determinants in the FDI's theoretical framework. Ageing, heredity, and salivation (biological and genetic factors), influences from family and the wider society (social environment), location and re-localisation (physical environment), oral hygiene habits, motivation, willingness to change, professional support (health behaviours), and availability, control, finances, and trust (access to care) were viewed as important oral health determinants by the informants. CONCLUSION: The study points to a variety of individual oral health-related experiences that oral healthcare professionals could consider when designing interventions to reduce xerostomia and prevent adverse oral health outcomes for persons undergoing long-term CPAP-treatment.

Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.

BACKGROUND: Artificial intelligence (AI) for healthcare presents potential solutions to some of the challenges faced by health systems around the world. However, it is well established in implementation and innovation research that novel technologies are often resisted by healthcare leaders, which contributes to their slow and variable uptake. Although research on various stakeholders' perspectives on AI implementation has been undertaken, very few studies have investigated leaders' perspectives on the issue of AI implementation in healthcare. It is essential to understand the perspectives of healthcare leaders, because they have a key role in the implementation process of new technologies in healthcare. The aim of this study was to explore challenges perceived by leaders in a regional Swedish healthcare setting concerning the implementation of AI in healthcare. METHODS: The study takes an explorative qualitative approach. Individual, semi-structured interviews were conducted from October 2020 to May 2021 with 26 healthcare leaders. The analysis was performed using qualitative content analysis, with an inductive approach. RESULTS: The analysis yielded three categories, representing three types of challenge perceived to be linked with the implementation of AI in healthcare: 1) Conditions external to the healthcare system; 2) Capacity for strategic change management; 3) Transformation of healthcare professions and healthcare practice. CONCLUSIONS: In conclusion, healthcare leaders highlighted several implementation challenges in relation to AI within and beyond the healthcare system in general and their organisations in particular. The challenges comprised conditions external to the healthcare system, internal capacity for strategic change management, along with transformation of healthcare professions and healthcare practice. The results point to the need to develop implementation strategies across healthcare organisations to address challenges to AI-specific capacity building. Laws and policies are needed to regulate the design and execution of effective AI implementation strategies. There is a need to invest time and resources in implementation processes, with collaboration across healthcare, county councils, and industry partnerships.

"The terrible dryness woke me up, I had some trouble breathing"-Critical situations related to oral health as described by CPAP-treated persons with obstructive sleep apnea.

Continuous positive airway pressure is a common and effective treatment for obstructive sleep apnea, but adherence remains an issue. Both obstructive sleep apnea and oral diseases are associated with cardiovascular diseases, and as oral dryness contributes to treatment abandonment, oral health is of importance for this patient group. The aim was therefore to explore how persons with continuous positive airway pressure-treated obstructive sleep apnea experience situations associated with their oral health, and which actions they take to manage these. An explorative and descriptive design was adopted using the critical incident technique. Based on a purposeful selection, 18 adults with long-term experience of continuous positive airway pressure-treatment were interviewed using a semi-structured interview guide. Both negative and positive situations were described. Negative situations consisted of challenges with breathing, including mouth-breathing, choking sensations, problems with night-time and daytime oral dryness, changes in the saliva composition, and deteriorating oral health. Positive situations included experiences of reduced mouth-breathing and oral dryness. The situations were often successfully managed by mimicking daytime movements, changing sleeping position, adjusting the CPAP-device and mask, increasing oral hygiene efforts, drinking water, using a humidifier or chinstrap, or contacting their oral healthcare clinic. Long-term experience of persons with continuous positive airway pressure-treated obstructive sleep apnea regard situations and actions from everyday life. Successful management can contribute to long-term adherence and decrease negative effects on oral health. More interdisciplinary collaborations could enable identification and adequate recommendations for persons who experience negative situations during their continuous positive airway pressure treatment.

The experience of participating in an internet-based cognitive behavioral therapy program among patients with cardiovascular disease and depression: a qualitative interview study.

BACKGROUND: Depression in conjunction with cardiovascular disease (CVD) is associated with worsening in CVD, higher mortality, and poorer quality of life. Despite the poor outcomes there is a treatment gap of depression in CVD patients. Recently we found that an Internet-based cognitive behavioral therapy (iCBT) tailored for CVD patients led to reduced symptoms of depression. However, we still have little knowledge about CVD patients' experiences of working with iCBT. The aim of this study was therefore to explore CVD patients' experiences of engaging in a tailored iCBT program. METHODS: A qualitative interview study using inductive thematic analysis. Data was obtained from 20 patients with CVD and depressive symptoms who had participated in a randomized controlled trial (RCT) evaluating the impact of a nine-week iCBT program on depression. RESULTS: Three main themes emerged: (1) Taking control of the disease, (2) Not just a walk in the park, and (3) Feeling a personal engagement with the iCBT program. The first theme included comments that the tailored program gave the patients a feeling of being active in the treatment process and helped them achieve changes in thoughts and behaviors necessary to take control of their CVD. The second theme showed that patients also experienced the program as demanding and emotionally challenging. However, it was viewed as helpful to challenge negative thinking about living with CVD and to change depressive thoughts. In the third theme patients reported that the structure inherent in the program, in the form of organizing their own health and the scheduled feedback from the therapist created a feeling of being seen as an individual. The feeling of being acknowledged as a person also made it easier to continuously work with the changes necessary to improve their health. CONCLUSIONS: Engaging in an iCBT program tailored for patients with CVD and depression was by the patients perceived as helpful in the treatment of depression. They experienced positive changes in emotions, thoughts, and behaviors which a result of learning to take control of their CVD, being confirmed and getting support. The patients considered working with the iCBT program as demanding and emotionally challenging, but necessary to achieve changes in emotions, thoughts, and behaviors.

Perspectives of Policy Makers and Service Users Concerning the Implementation of eHealth in Sweden: Interview Study.

BACKGROUND: Increasing life spans of populations and a growing demand for more advanced care make effective and cost-efficient provision of health care necessary. eHealth technology is often proposed, although research on barriers to and facilitators of the implementation of eHealth technology is still scarce and fragmented. OBJECTIVE: The aim of this study is to explore the perceptions concerning barriers to and facilitators of the implementation of eHealth among policy makers and service users and explore the ways in which their perceptions converge and differ. METHODS: This study used interview data from policy makers at different levels of health care (n=7) and service users enrolled in eHealth interventions (n=25). The analysis included separate qualitative content analyses for the 2 groups and then a second qualitative content analysis to explore differences and commonalities. RESULTS: Implementation barriers perceived by policy makers were that not all service users benefit from eHealth and that there is uncertainty about the impact of eHealth on the work of health care professionals. Policy makers also perceived political decision-making as complex; this included problems related to provision of technical infrastructure and lack of extra resources for health care digitalization. Facilitators were policy makers' conviction that eHealth is what citizens want, their belief in eHealth solutions as beneficial for health care practice, and their belief in the importance of health care digitalization. Barriers for service users comprised capability limitations and varied preferences of service users and a mismatch of technology with user needs, lack of data protection, and their perception of eHealth as being more time consuming. Facilitators for service users were eHealth technology design and match with their skill set, personal feedback and staff support, a sense of privacy, a credible sender, and flexible use of time.There were several commonalities between the 2 stakeholder groups. Facilitators for both groups were the strong impetus toward technology adoption in society and expectations of time flexibility. Both groups perceived barriers in the difficulties of tailoring eHealth, and both groups expressed uncertainty about the care burden distribution. There were also differences: policy makers perceived that their decision-making was very complex and that resources for implementation were limited. Service users highlighted their need to feel that their digital data were protected and that they needed to trust the eHealth sender. CONCLUSIONS: Perceptions about barriers to and facilitators of eHealth implementation varied among stakeholders in different parts of the health care system. The study points to the need to reach an enhanced mutual understanding of priorities and overcome challenges at both the micro and macro levels of the health care system. More well-balanced decisions at the policy-maker level may lead to more effective and sustainable development and future implementation of eHealth.

Rapid Implementation of Telegenetic Counseling in the COVID-19 and Swedish Healthcare Context: A Feasibility Study.

This study reports the process and preliminary findings of rapid implementation of telegenetic counseling in the context of Swedish healthcare and COVID-19 pandemic, from both a patient and a provider perspective. Fourty-nine patients and 6 healthcare professionals were included in this feasibility study of telegenetic counseling in a regional Department of Clinical Genetics in Sweden. Telegenetic counseling is here defined as providing genetic counseling to patients by video (n = 30) or telephone (n = 19) appointments. Four specific feasibility aspects were considered: acceptability, demand, implementation, and preliminary efficacy. Several measures were used including the Genetic Counseling Outcome Scale 24 (collected pre- and post-counseling); the Telehealth Usability Questionnaire; a short study specific evaluation and Visiba Care evaluations, all collected post-counseling. The measures were analyzed with descriptive statistics and the preliminary results show a high level of acceptance and demand, from both patients and providers. Results also indicate successful initial implementation in the regional Department of Clinical Genetics and preliminary efficacy, as shown by significant clinically important improvement in patients' empowerment levels.

Mobile phone-based lifestyle support for families with young children in primary health care (MINISTOP 2.0): Exploring behavioral change determinants for implementation using the COM-B model.

Background: Obesity in childhood is a public health concern worldwide and mobile phone-based interventions (mHealth) has shown to facilitate obesity prevention. However, more research is needed on the implementation of digital tools in routine primary care. This study explored behavior change determinants for implementing a health promotion mHealth intervention (MINISTOP 2.0 app) targeting parents of 4-year-olds. Methods: Secondary data from telephone interviews (n = 15) with child health care nurses working within primary child healthcare in Sweden was analyzed using directed content analysis and the COM-B model. Results: Barriers for implementation included: limited knowledge about using technology and reservations about how and to what extent parents would use mHealth. Potential facilitators included nurses' openness to learn and try new tools, confidence in their role and engagement in reaching parents as well as beliefs that the app could improve practice by prompting dialogue and being a shared platform. Nurses expressed a strong professional identity and shared understanding of their practice, mechanisms that could potentially inhibit or facilitate implementation. Conclusions: Findings suggest cautious optimism regarding implementing mobile phone-based tools in child primary healthcare in terms of capability, opportunity and motivation among stakeholders. Implementation strategies such as educational outreach visits and making the intervention testable among stakeholders could further facilitate implementation in this clinical context. However, more research is needed on behavior change determinants in different stages of real-world implementation.

A Slippery Slope When Using an Evidence-Based Intervention Out of Context. How Professionals Perceive and Navigate the Fidelity-Adaptation Dilemma-A Qualitative Study.

Introduction: Adaptations are often necessary to effectively translate evidence-based interventions (EBI) between contexts, but compliance with the EBIs' core components is still important, which is referred to as the fidelity-adaptation dilemma. In the sustainment phase of implementation, it is the professionals delivering the EBIs who are tasked with the decision-making regarding adaptations, but the currently used models and frameworks mostly focus on the initial phases of implementation. To better understand and guide professionals in using EBIs, there is a need to explore professionals' perceptions of the fidelity-adaptation dilemma. The aim of this study is consequently to explore how professionals perceive and navigate the fidelity-adaptation dilemma when using an EBI out of context. Materials and Methods: Semi-structured interviews were held with 19 psychologists working in primary care. The interviews concerned EBIs in general and Cool Kids, an evidence-based parenting education program designed for children with anxiety that is now used for children with lower levels of anxiety in another setting. The data were analyzed using an inductive content analysis method. Results: The analysis resulted in two themes: My standpoint regarding fidelity and adaptation is clear and Managing fidelity and adaptations is complicated. The first theme summarizes the professionals' perceptions of confidence for either favoring fidelity or adaptations, as well as reasons for why they made adaptations. For the second theme, the professionals expressed concern about sometimes meeting difficulties with the dilemma when following their original inclination and having second thoughts about the impact the adaptations have in practice. Conclusion: The professionals generally had strong preferences regarding fidelity and adaptations, but neither preference prevented them from facing difficulties with the dilemma. The results point to a need for better information about possible adaptations from developers but also better support and guidance for professionals when implementing EBIs to ensure quality implementation and facilitate implementation. The results of this study can inform the design of support for professionals in managing the dilemma.

Professionals' management of the fidelity-adaptation dilemma in the use of evidence-based interventions-an intervention study.

BACKGROUND: Evidence-based interventions (EBIs) can be effective tools for the prevention of disease and health promotion. However, their implementation often requires a delicate balance between the need to adjust the intervention to the context in which it is implemented and the need to keep the core components that make the intervention effective. This so-called dilemma between fidelity and adaptation is often handled by health professionals in the sustainment phase of an implementation (i.e., once the intervention has been adopted and institutionalized in an organization), but not much is known about how and to what extent health professionals are affected by this dilemma. Focusing on the sustainment phase, this project aims to study (1) how fidelity and adaptation are managed by professionals using an EBI, (2) how the fidelity-adaptation dilemma affects professionals' psychosocial working conditions, and (3) how a structured decision support influences professionals' management of the dilemma and their psychosocial working conditions. METHODS: The study is set in Sweden, and the EBI in focus is a parental program (All Children in Focus). A longitudinal within-person intervention design is used, combined with a cross-sectional survey design. Data sources include web-based questionnaires, brief interviews, fidelity ratings, paper-and-pen questionnaires, and written documentation, collected at multiple time points with both group leaders and parents as respondents. DISCUSSION: This project approaches fidelity and adaptation from the perspective of the professionals that manage EBIs during the sustainment phase of implementation. Although it is well known that EBIs continue to change over time, it remains to be understood how the fidelity-adaptation dilemma can be managed so that the effectiveness of interventions is retained or improved, not diluted. Moreover, the project adds to the literature by presenting an occupational health perspective on the fidelity-adaptation dilemma. It is acknowledged that fidelity and adaptation may have consequences for not only clients but also the occupational wellbeing of the professionals managing the dilemma, and subsequently, their willingness and ability to deliver EBIs in a sustainable way.

Preparedness to Implement Physical Activity and Rehabilitation Guidelines in Routine Primary Care Cancer Rehabilitation: Focus Group Interviews Exploring Rehabilitation Professionals' Perceptions.

To explore primary care professionals' perceptions of physical activity and other cancer rehabilitation practice in cancer survivors, investigating the preparedness to implement guidelines regarding cancer rehabilitation. We collected qualitative data through seven semi-structured focus group interviews with 48 rehabilitation professionals, with mean 9 years of experience in primary care rehabilitation (32 physiotherapists, 15 occupational therapists, and 1 rehabilitation assistant) in a primary care setting. Data was analyzed using content analysis. Primary care rehabilitation professionals expressed limited experience of cancer survivors, experienced lack of knowledge of cancer-related disability, and had doubts concerning how to treat cancer survivors. They also experienced uncertainty about where to find collaboration and support in the healthcare system outside their own rehabilitation clinic. There is a need to combine different implementation strategies to tackle multiple barriers for effective cancer survivor rehabilitation in primary care, to boost individual rehabilitation professionals' knowledge and self-efficacy, to clarify roles and responsibilities for cancer rehabilitation across levels of care, and to develop and strengthen organizational bridges to provide adequate access to rehabilitation for cancer survivors.

How Healthcare Professionals in Cardiac Care Address Depressive Symptoms: Experiences of Patients With Cardiovascular Disease.

BACKGROUND: Depressive symptoms are common in patients with cardiovascular disease (CVD) and are associated with a poorer quality of life and prognosis. Despite the high prevalence and negative consequences, the recognition of depressive symptoms is low. More knowledge about patients' perceptions of how depressive symptoms are addressed by healthcare professionals is therefore needed. OBJECTIVES: The aim of this study was to explore the experiences of patients with CVD of how healthcare professionals address and manage depressive symptoms in clinical cardiac care encounters. METHODS: A qualitative, semistructured interview study was performed. Data were analyzed using inductive thematic analysis. RESULTS: In total, 20 patients with CVD previously treated for depressive symptoms were included (mean age, 62 [range, 34-79] years; 45% women). Three main themes emerged: (1) "not being seen as a whole person," (2) "denying depressive symptoms," and (3) "being provided with help." The patients perceived that healthcare professionals mainly focused on somatic symptoms and disregarded their need for help for depressive symptoms when patients raised the issue. Some patients stated that they received help for depressive symptoms, but this depended on the patients' own ability to communicate their needs and/or having social support that could alert them to the importance of doing so. Patients also described that they downplayed the burden of depressive symptoms and/or did not recognize themselves as having depressive symptoms. CONCLUSION: Depressive symptoms were overlooked in patients with CVD, and psychological needs had not been met. A good ability to address needs and having good social support were useful for receiving help with depressive symptoms.

Implementing internet-delivered cognitive behavioural therapy for patients with cardiovascular disease and psychological distress: a scoping review.

BACKGROUND: Comorbid psychological distress (i.e. insomnia and depression) is experienced by 20-40% of patients with cardiovascular disease. This has a considerable impact on their health and quality of life, leading to frequent re-hospitalisations, higher healthcare costs and a shorter life expectancy. Internet-based cognitive behavioural therapy shows great potential for treating psychological distress in cardiovascular disease. Effective and feasible treatments can, however, only benefit patients if they are fully implemented in clinical care. AIM: This scoping review aimed to explore the literature for internet-based cognitive behavioural therapy in cardiovascular disease and for strategies to implement the intervention. METHODS: We searched electronic databases, journals and internet sources to find original studies about internet-based cognitive behavioural therapy in cardiovascular disease, adhering to scoping methodology guidelines. After identifying 267 titles, we screened 40 abstracts and chose 11 full-text articles for full-text screening. The results sections in four articles were searched for outcomes that related to the effectiveness and implementation of internet-based cognitive behavioural therapy by directed qualitative content analysis using an implementation framework. RESULTS: Three of the four articles fulfilling the inclusion criteria concerned internet-based cognitive behavioural therapy for treating mild to moderate depressive symptoms in cardiovascular disease, and none focused on insomnia. The studies showed evidence for the effectiveness of internet-based cognitive behavioural therapy, and/or described patient factors influencing clinical effectiveness. Our qualitative content analysis showed that many implementation aspects and stakeholder perspectives remain unexplored. CONCLUSIONS: Internet-based cognitive behavioural therapy promises to alleviate patient suffering in cardiovascular disease. There is, however, little research about internet-based cognitive behavioural therapy for cardiovascular disease, and about how this evidence-based intervention is implemented.

Implementation of Evidence-Based Practice From a Learning Perspective.

INTRODUCTION: For many nurses and other health care practitioners, implementing evidence-based practice (EBP) presents two interlinked challenges: acquisition of EBP skills and adoption of evidence-based interventions and abandonment of ingrained non-evidence-based practices. AIMS: The purpose of this study to describe two modes of learning and use these as lenses for analyzing the challenges of implementing EBP in health care. METHODS: The article is theoretical, drawing on learning and habit theory. RESULTS: Adaptive learning involves a gradual shift from slower, deliberate behaviors to faster, smoother, and more efficient behaviors. Developmental learning is conceptualized as a process in the "opposite" direction, whereby more or less automatically enacted behaviors become deliberate and conscious. CONCLUSION: Achieving a more EBP depends on both adaptive and developmental learning, which involves both forming EBP-conducive habits and breaking clinical practice habits that do not contribute to realizing the goals of EBP. LINKING EVIDENCE TO ACTION: From a learning perspective, EBP will be best supported by means of adaptive learning that yields a habitual practice of EBP such that it becomes natural and instinctive to instigate EBP in appropriate contexts by means of seeking out, critiquing, and integrating research into everyday clinical practice as well as learning new interventions best supported by empirical evidence. However, the context must also support developmental learning that facilitates disruption of existing habits to ascertain that the execution of the EBP process or the use of evidence-based interventions in routine practice is carefully and consciously considered to arrive at the most appropriate response.

Knowledge sources for evidence-based practice in rheumatology nursing.

As rheumatology nursing develops and extends, knowledge about current use of knowledge in rheumatology nursing practice may guide discussions about future knowledge needs. To explore what perceptions rheumatology nurses have about their knowledge sources and about what knowledge they use in their practice, 12 nurses working in specialist rheumatology were interviewed using a semi-structured interview guide. The data were analyzed using conventional qualitative content analysis. The analysis yielded four types of knowledge sources in clinical practice: interaction with others in the workplace, contacts outside the workplace, written materials, and previous knowledge and experience. Colleagues, and physicians in particular, were important for informal learning in daily rheumatology practice. Evidence from the medical arena was accessed through medical specialists, while nursing research was used less. Facilitating informal learning and continuing formal education is proposed as a way toward a more evidence-based practice in extended roles.

The Canadian Occupational Performance Measure as an outcome measure and team tool in a day treatment programme.

PURPOSE: To investigate the usefulness of the Canadian Occupational Performance Measure (COPM) in a day treatment programme for clients with rheumatoid arthritis. METHOD: The study was conducted in two parts. In the first part rehabilitation without changes in the programme was performed (n = 16). After that the COPM was introduced to all team members. In part two the COPM was used (n = 40). Clients' experiences of participation in the process were studied via a structured interview 2 - 4 weeks after discharge in both parts. Qualitative interviews were conducted with team members before part one and after completion of part two. RESULTS: Staff expressed that the COPM improved client participation in the rehabilitation process. Goals were formulated distinctly, and focused on activity and performance rather than function. Team conferences were focused on the client's needs. Outcome was considered clear and evident to the client. The changes in client routines demands thorough introduction, support and involvement, and takes time. Involvement and motivation for changing practice were difficult to obtain, this could be a result of a large staff turnover during the data collection period. CONCLUSIONS: The COPM should be seen as an aid to ensuring client participation in the goal formulation process, and facilitating treatment planning and evaluation of outcome.