🎙️Furthering the Dialogue: Ideal vs. Real-World Implementation Eldh et al.’s recent letter to the editor in Implementation Science Communications (Vol. 6:113, 2025) offers a thoughtful extension of Nilsen et al.’s proposal to distinguish between implementation efficacy and effectiveness. Rather than viewing implementation along a single-axis continuum, Eldh and colleagues argue for a more nuanced approach—one that reflects the complexity of real-world settings and the blended nature of many interventions. Their proposed double-axis model considers both the implementation intervention and the context in which it unfolds, offering a more pragmatic lens for understanding change. 💡 This commentary advances the conversation by: • Challenging oversimplified models of implementation • Highlighting the need for context-responsive frameworks • Advocating for co-created, empirically validated tools like “Implementation PRECIS” • Encouraging integration with existing evaluation approaches In a field driven by complexity, collaboration, and continuous learning, this piece is a valuable contribution to how we conceptualize and operationalize implementation in practice. 📄 Read the full letter: https://lnkd.in/gxCvvwdk Citation: Eldh, A.C., Bergström, A., Hälleberg-Nyman, M. et al. Nuancing the continuum from ideal to real-world implementation: a letter to the editor on Nilsen et al.. Implement Sci Commun 6, 113 (2025). https://lnkd.in/gxCvvwdk #ImplementationScience #RealWorldImpact #CoCreation #SystemsThinking #HealthcareImprovement #EvaluationMatters #ImplementationPRECIS #EvidenceToAction
Eldh et al. propose a double-axis model for implementation in real-world settings.
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🔎Implementing clinical practice guidelines into action - new study results from PROSHADE 📖 with authors Anna-Aurora Kork, Miia Marttinen, Harri Laihonen, Johanna Ruusuvuori, Juha E. Ahonen, Eila Kankaanpää Successful Clinical practice guidelines (CPG) implementation requires active managerial efforts and clinician dialogue to transform new evidence into locally viable practices. ✔️To inform more effective knowledge translation, the five identified management mechanisms included instructions; accountability structures; motivation, goal setting and feedback; communication strategies and participatory practices. In managing CPG implementation, a focus on interaction processes, motivation and feedback is essential for ensuring collective knowledge formation. 💡This study improves the understanding of critical organizational knowledge translation processes by drawing attention to the previously underrepresented managerial aspects in CPG implementation studies. Future researchers, guideline developers, and policymakers should integrate managerial activities and clinician engagement in CPG implementation to ensure effective practices and healthcare quality. 👉 Open access article can be found in comments
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I’m pleased to share our latest paper published in Healthcare (MDPI): “Perspectives of Healthcare Professionals on Self-Management in Parkinson’s: A Qualitative Study.” Self-management is frequently promoted within Parkinson’s care. Yet the question remains: what do we really mean by self-management? Dr Bhanu Ramaswamy OBE and I explore what is self-management, and propose that self-management must go far beyond education alone. Rather self-management is about equipping people with Parkinson’s with the practical strategies, confidence, and personalised support they need to live well with their condition. This relies on a genuine collaborative partnership between healthcare professionals and the Parkinson’s community, recognising expertise on both sides. When self-management is approached as a shared endeavour, we can better address the everyday challenges of Parkinson’s and promote independence, wellbeing, and quality of life. You can read the full paper here: https://lnkd.in/eWZBrHBA Robert Gordon University, School of Health, Parkinson's UK
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https://lnkd.in/gi5CfyJe Statistical design serves as the cornerstone of scientific inquiry, guiding how data are collected, analyzed, and interpreted. https://lnkd.in/gp-pXK4a Selecting an appropriate design is crucial to ensuring valid conclusions and preventing misinterpretation that could negatively impact clinical decision-making. This paper provides an integrative overview of variable types—nominal, ordinal, continuous, and dichotomous—and links them to commonly used statistical tests, including t-tests, ANOVA, Chi-square, and regression models. A detailed table illustrates examples of research questions and their corresponding statistical analyses to enhance comprehension and practical application. Understanding the connection between variable type and statistical test selection enables healthcare professionals to interpret research critically, apply findings appropriately, and engage in interdisciplinary collaboration to promote evidence-based care. The content serves as both an educational resource and a methodological guide for healthcare providers, students, and researchers seeking to strengthen their analytical literacy and research acumen.
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🚨🚨 Transforming Healthcare through Research, Innovation, and Value Engineering (THRIVE): A Framework for Sustainable Health Solutions in LMICs 🚨🚨 Our new preprint, where we introduce the THRIVE framework, a structured, holistic approach to designing and deploying digital health and ICT infrastructure in low- and middle-income countries (LMICs) is now online. In this open letter, we dive into the essential building blocks (governance models, integration pathways, interoperable standards, value engineering, feedback loops, AI governance) needed to ensure that digital health systems aren’t just innovative, but sustainable, equitable, and resilient. Lessons learned from both successes and failures in ICT rollouts, including challenges around adoption, scalability, maintenance, and alignment with host national and International policies. THRIVE has the potential to become a reference point for governments, NGOs, development agencies, and academia as they co-create solutions that last, not just quick pilot wins, but durable transformation in health systems. Link: https://lnkd.in/eV_ACemz Joe Gallagher, Sune Dueholm Müller, Philip Fadahunsi, John K. Zao, #DamienMcCarthy, #SunaliBandara, Patrick Staunton, Huanhuan Xiong, Anthony McDonnell, Thia Hennessy, Frederic Adam, Paidi O Reilly, Cork University Business School, BIS@UCC, UCC Research #mHealth #eHealth #DigitalHealth #ImplementationScience Scott Russpatrick. Walter Cullen, UCD School Of Medicine, Dr Seán Lucey, Fiona Riordan, Research Ireland, Gates Foundation, IrishAid.
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https://lnkd.in/gi5CfyJe Statistical design serves as the cornerstone of scientific inquiry, guiding how data are collected, analyzed, and interpreted. https://lnkd.in/gxpMqRFD an appropriate design is crucial to ensuring valid conclusions and preventing misinterpretation that could negatively impact clinical decision-making. This paper provides an integrative overview of variable types—nominal, ordinal, continuous, and dichotomous—and links them to commonly used statistical tests, including t-tests, ANOVA, Chi-square, and regression models. A detailed table illustrates examples of research questions and their corresponding statistical analyses to enhance comprehension and practical application. Understanding the connection between variable type and statistical test selection enables healthcare professionals to interpret research critically, apply findings appropriately, and engage in interdisciplinary collaboration to promote evidence-based care. The content serves as both an educational resource and a methodological guide for healthcare providers, students, and researchers seeking to strengthen their analytical literacy and research acumen.
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Metro South Health’s new Research Development Service is helping clinicians and staff bring their research ideas to life, from refining a research question to preparing documents for ethics and governance approval. 💡 Led by Principal Research Development Officers Andrew Wetzeig and Liam Maclachlan, the service offers one-on-one support to make the research process simpler, faster, and more rewarding. “In just six months we’ve supported more than 140 researchers,” Andrew said. “By improving the quality of submissions, we can help clinicians get approvals more efficiently and focus on what matters most - improving patient care.” Liam added, “We want every staff member, clinical or non-clinical, to feel that research is accessible and supported.”
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💼 Professional Insight: “Protocols Ensure Consistency.” In clinical research, consistency isn’t just preferred — it’s essential. Protocols serve as the backbone of every trial, outlining each step with precision so that no matter who conducts the visit or where the study takes place, participants receive the same standard of care and data remains reliable. A well-designed protocol bridges science and execution — turning innovative ideas into measurable, reproducible results. Without it, we risk losing the very integrity that makes research trustworthy. Every procedure, assessment, and data point follows the roadmap the protocol sets. And that consistency? That’s what transforms research into evidence, and evidence into change. 💡 #ClinicalResearch #ProtocolDriven #GoodClinicalPractice #ConsistencyMatters #ResearchExcellence #SuperiorClinicalResearch #OperationalExcellence #ClinicalTrials
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You find a research article, now what? How do we make that jump for getting the information and putting it into clinical practice? This is not a simple process but the key takeaways for doing this include ✅ Make sure the article is legit 📋 Read through the methods section to get the specifics 🧐 Imagine doing the intervention with your client 🚧 Identify any barriers (this is where you can reach out to the author) 🔭 Track how its going 🔄 Try something new if it's not working Reference: Graham, I. D., & Tetroe, J. M. (2010). The knowledge to action framework. Models and frameworks for implementing evidence-based practice: Linking evidence to action, 207, 222. https://lnkd.in/e3qEAEq
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💡 Scaling Up Personalised Medicine: Economic and Organisational Challenges Dr. Tamas Soroncz-Szabo delivered a highly insightful presentation on the multifaceted challenges involved in scaling up personalised medicine from pilot projects to national and international implementation. 🔹 Key points and reflections: 💰 Economic sustainability remains a central issue into early implementation 🏥 Organisational readiness is equally vital 🤝 Collaboration across sectors — health authorities, research institutions, and industry — is essential to bridge the gap between innovation and implementation ⚙️ Implementation frameworks should consider not only technology but also cultural, ethical, and equity aspects, ensuring that PM benefits all patients, not just a few. Dr. Soroncz-Szabo’s talk reminded us that the success of PM depends as much on systems thinking and sustainable investment as on scientific breakthroughs. A truly thought-provoking session highlighting that scaling up innovation means scaling up collaboration, trust, and shared responsibility. #PersonalisedMedicine #HealthEconomics #HealthSystems #Innovation #ImplementationScience #HealthcareTransformation #PrecisionMedicine
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