Promoting excellence in autism intervention is arguably more urgent than ever for the field of applied behavior analysis. To fulfill this objective, autism agencies must operate from validated program systems and do so with fidelity. Program components include, but are not limited to, staff training and evaluation of clinical skills, functional personnel roles designed to promote positive outcomes for those served, and professional staff-communication-skill repertoires. Data on client outcomes must be tied to implementation of core program variables; and, contingencies between the data on client outcomes and staff performance must exist. Furthermore, these contingencies must be yoked across members of the organization to ensure a sustainable and effective program model. Finally, data on consumer satisfaction must be collected and used to evaluate program components and agency practices. Members of the Alliance for Scientific Autism Intervention have implemented key program-wide systems based upon the work of McClannahan and Krantz Journal of Applied Behavior Analysis, 26, 589-596 (1993) for decades and across various agency cultures. Data collected by six independent educational agencies on client outcomes, program implementation, and consumer feedback for a 10-year time span demonstrate the sustainability of the model and support the importance of key organizational systems and the relationship between implementation of the model and high-quality outcomes for individuals with autism.

UNASSIGNED: Under the backdrop of pervasive health inequalities, public health professionals, researchers and non-academic partners in the United Kingdom are mobilising to understand how and in what ways community assets can address health disparities at scale in complex systems. While there is recognition that cultural, natural and community resources can improve health outcomes, these are unequally dispersed with lack of integration in communities and health and social care systems. Researching Evidence-based Alternatives in Living, Imaginative, Traumatised, Integrated, Embodied Systems (REALITIES) is a participatory action research Scottish consortium of 57 with established community asset hubs in five localities with strong relationships uniting conflicting ways of seeing the world. Our collective of lived and felt experience community members, community-embedded researchers, academics and non-academics draws upon a variety of practices, methods, datasets and philosophies to expand existing approaches to tackling health inequalities.
UNASSIGNED: We present conceptual and theoretical underpinnings for our co-produced systems-level model and empirical findings from testing REALITIES across three disadvantaged localities (November 2022, ongoing). After explaining the context that led to the development of the new scalable REALITIES model for integrated public systems to interface with \'assets\', we detail philosophical pillars and guiding principles for our model and how we applied these mechanisms to explain how integrated partnership working can lead to improved health outcomes across multiple public systems.
UNASSIGNED: We present a meta-analysis from co-producing and testing the model, showing how measuring change in complex public systems involves critical investigation of People, Process, Place, Price, Power and Purpose. Our critique reflects on power imbalances and inequities in Research-practice-Policy (RPP) partnerships and suggestions for how to nurture healthy ecosystems: overcoming barriers and enabling participation; reflecting on challenges of scaling up, testability and complexity of RPP partnerships; moving from siloed learning to transdisciplinary collaboration in practice; ensuring knowledge exchange has direct impact on communities and frontline practitioners; embedding relational ethics and safeguarding into daily practice.
UNASSIGNED: We propose the REALITIES model to unite alternative, sometimes conflicting, ways of thinking about public systems and community assets by continuously reflecting on entanglements between different assumptions about knowledge, reality, evidence, and unnecessary binaries between creative methodologies and scientific method.

BACKGROUND: The utilization of complementary and alternative medicine (CAM) is experiencing a global surge, accompanied by the adoption of national CAM policies in numerous countries. Traditional Persian medicine (TPM) is highly used as CAM in Iran, and the ongoing scientific evaluation of its interventions and the implementation of evidence-based medicine (EBM) encounters various barriers. Therefore, comprehending the characteristics and interactions of stakeholders is pivotal in advancing EBM within TPM policies. In this study, we utilized both classical stakeholder analysis and social network analysis to identify key stakeholders and potential communication patterns, thereby promoting EBM in TPM policy-making.
METHODS: A cross-sectional nationwide stakeholder analysis was conducted in 2023 using snowball sampling. The interviews were carried out using a customized version of the six building blocks of health. Data were collected through semi-structured interviews. Stakeholders were assessed based on five factors (power, interest, influence, position, and competency). The connections and structure of the network were analyzed using degree, betweenness, closeness centrality, and modularity index to detect clusters of smaller networks.
RESULTS: Among twenty-three identified stakeholders, the Ministry of Health and Medical Education (MOHME) and the Public were the most powerful and influential. The Iranian Academy of Medical Sciences was the most competent stakeholder. Social network analysis revealed a low density of connections among stakeholders. Pharmaceutical companies were identified as key connectors in the network, while the Public, supreme governmental bodies, and guilds acted as gatekeepers or brokers. The MOHME and Maraji were found to be high-ranking stakeholders based on four different centrality measures.
CONCLUSIONS: This study identifies powerful stakeholders in the network and emphasizes the need to engage uninterested yet significant stakeholders. Recommendations include improving competence through education, strengthening international relations, and fostering stronger relationships. Engaging key connectors and gatekeepers is essential for bridging gaps in the network.

UNASSIGNED: In Nigeria, there is a disparity among physiotherapists regarding therapeutic exercise as a core treatment for patients with knee osteoarthritis (OA). The attitudes and beliefs of physiotherapists could influence this.
UNASSIGNED: To investigate Nigerian physiotherapists\' knowledge, attitude, and utilisation of evidence-based therapeutic exercises.
UNASSIGNED: A mixed-method of cross-sectional survey and focus group discussion.
UNASSIGNED: Secondary and tertiary health institutions in Nigeria.
UNASSIGNED: Physiotherapists consecutively sampled from the selected institutions.
UNASSIGNED: Participants\' knowledge, attitude and utilisation of evidence-based therapeutic exercises for the management of knee OA.
UNASSIGNED: This study revealed that 81% of physiotherapists in Nigeria had a fair knowledge of evidence-based practice and the efficacy of therapeutic exercises in managing knee OA. Despite this fair knowledge, 95.3% had a poor attitude. The important emerging categories/themes are treatment preference, clinical experience, and strength of evidence.
UNASSIGNED: Physiotherapists in Nigeria have a fair knowledge of evidence-based therapeutic exercises in managing patients with knee OA, although there is a poor attitude and disparity between the use and current recommendations.
UNASSIGNED: The research received no funding from a commercial or non-profit organisation.

OBJECTIVE: To describe the process of best practices implementation for breastfeeding assistance for preterm and low birth weight infants.
METHODS: Participatory research that used the evidence implementation methodology of the JBI, held at a university hospital in southeastern Brazil, with the participation of a multidisciplinary team and managers.
UNASSIGNED: Situational diagnosis, baseline audit and feedback, protocol development, training, implementation, and monitoring.
RESULTS: Seven audit criteria were defined. In the baseline audit, three criteria were met, with eleven barriers to be resolved being listed. The strategies carried out were protocol development and multidisciplinary and intersectoral training. After the training, compliance was achieved with the seven criteria audited in the first follow-up audit and five in the second, emphasizing the increase in compliance after the implementation of the outlined strategies.
CONCLUSIONS: The project achieved the objective of improving evidence-based practice, and allowed the implementation of the institution\'s first breastfeeding protocol. However, it shows the need to maintain training for adherence and enculturation of new practices.

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BACKGROUND: Evidence-based practice, in conjunction with optimum care quality, improves patients\' clinical outcomes. However, its implementation in daily clinical practice continues to present difficulties. The aim of this study was to identify the strategies applied by Advanced Practice Nurses (APNs) to foster adherence to clinical practice guideline recommendations.
METHODS: An exploratory qualitative study was conducted with six focus groups at three public hospitals belonging to the Balearic Islands Health Care Service (Spain). The study participants were 32 ward nurses and 5 advanced practice nurses working routinely with inpatients at these hospitals. The study was conducted from November 2020 to January 2021, using thematic analysis, based on the COREQ checklist.
RESULTS: Four major themes related to the facilitation process were identified either by RNs and APNs: the context of the project, APN contribution to nursing team management, healthcare provision on the ward, and the acquisition and application of knowledge.
CONCLUSIONS: The APNs adapted their actions to the characteristics and needs of the local context, employing strategies aimed at improving teamwork, healthcare, and knowledge management. Each of these contributions enhanced the sustainability of the changes made.

Encouraging routine COVID-19 vaccinations is likely to be a crucial policy challenge for decades to come. To avert hundreds of thousands of unnecessary hospitalizations and deaths, adoption will need to be higher than it was in the autumn of 2022 or 2023, when less than one-fifth of Americans received booster vaccines1,2. One approach to encouraging vaccination is to eliminate the friction of transportation hurdles. Previous research has shown that friction can hinder follow-through3 and that individuals who live farther from COVID-19 vaccination sites are less likely to get vaccinated4. However, the value of providing free round-trip transportation to vaccination sites is unknown. Here we show that offering people free round-trip Lyft rides to pharmacies has no benefit over and above sending them behaviourally informed text messages reminding them to get vaccinated. We determined this by running a megastudy with millions of CVS Pharmacy patients in the United States testing the effects of (1) free round-trip Lyft rides to CVS Pharmacies for vaccination appointments and (2) seven different sets of behaviourally informed vaccine reminder messages. Our results suggest that offering previously vaccinated individuals free rides to vaccination sites is not a good investment in the United States, contrary to the high expectations of both expert and lay forecasters. Instead, people in the United States should be sent behaviourally informed COVID-19 vaccination reminders, which increased the 30-day COVID-19 booster uptake by 21% (1.05 percentage points) and spilled over to increase 30-day influenza vaccinations by 8% (0.34 percentage points) in our megastudy. More rigorous testing of interventions to promote vaccination is needed to ensure that evidence-based solutions are deployed widely and that ineffective but intuitively appealing tools are discontinued.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.

BACKGROUND: Qualitative methods are a critical tool for enhancing implementation planning and tailoring, yet rapid turn-around of qualitative insights can be challenging in large implementation trials. The Department of Veterans Affairs-funded EMPOWER 2.0 Quality Enhancement Research Initiative (QUERI) is conducting a hybrid type 3 effectiveness-implementation trial comparing the impact of Replicating Effective Programs (REP) and Evidence-Based Quality Improvement (EBQI) as strategies for implementing three evidence-based practices (EBPs) for women Veterans. We describe the development of the Rapid Implementation Feedback (RIF) report, a pragmatic, team-based approach for the rapid synthesis of qualitative data to aid implementation planning and tailoring, as well as findings from a process evaluation of adopting the RIF report within the EMPOWER 2.0 QUERI.
METHODS: Trained qualitative staff conducted 125 semi-structured pre-implementation interviews with frontline staff, providers, and leadership across 16 VA sites between October 2021 and October 2022. High-priority topic domains informed by the updated Consolidated Framework for Implementation Research were selected in dialogue between EMPOWER 2.0 implementation and evaluation teams, and relevant key points were summarized for each interview to produce a structured RIF report, with emergent findings about each site highlighted in weekly written and verbal communications. Process evaluation was conducted to assess EMPOWER 2.0 team experiences with the RIF report across pre-implementation data collection and synthesis and implementation planning and tailoring.
RESULTS: Weekly RIF updates supported continuous EMPOWER 2.0 team communication around key findings, particularly questions and concerns raised by participating sites related to the three EBPs. Introducing the RIF report into team processes enhanced: team communication; quality and rigor of qualitative data; sensemaking around emergent challenges; understanding of site readiness; and tailoring of REP and EBQI implementation strategies. RIF report findings have facilitated rapid tailoring of implementation planning and rollout, supporting increased responsiveness to sites\' needs and concerns.
CONCLUSIONS: The RIF report provides a structured strategy for distillation of time-sensitive findings, continuous team communication amid a complex multi-site implementation effort, and effective tailoring of implementation rollout in real-time. Use of the RIF report may also support trust-building by enhancing responsiveness to sites during pre- and early implementation.
BACKGROUND: Enhancing Mental and Physical Health of Women Veterans (NCT05050266); https://clinicaltrials.gov/study/NCT05050266?term=EMPOWER%202.0&rank=1 Date of registration: 09/09/2021.