Jbi Evidence Implementation最新文献

{"title":"Chlorhexidine gluconate bathing to reduce hospital-acquired infections in adult intensive care units: a best practice implementation project.","authors":"Chin Yuan Tsan, Wei Ling Hsiao, Yun Wen Yung, Yu Jen Chu, Pei Fan Mu","doi":"10.1097/XEB.0000000000000520","DOIUrl":"https://doi.org/10.1097/XEB.0000000000000520","url":null,"abstract":"<p><strong>Introduction: </strong>Hospital-acquired infections (HAIs) have a significant effect on the quality of patient care as well as increasing hospital costs in adult intensive care units (ICUs). The ICU infection rate at the study hospital (10.6‰) exceeded acceptable standards.</p><p><strong>Aims: </strong>This study aimed to reduce the HAI rate in the adult ICU through chlorhexidine gluconate (CHG) bathing, in line with evidence-based practices.</p><p><strong>Methods: </strong>This project followed the JBI Evidence Implementation Framework, supported by JBI's Practical Application of Clinical Evidence System (PACES) and the JBI Getting Research into Practice (GRiP) tool. Rogers' Diffusion of Innovations Theory was used to guide the change process. The study was conducted in a hospital in northern Taiwan. Baseline and follow-up audits were conducted involving 450 patients and 321 nurses across 12 adult ICUs. The audit criteria were derived from evidence-based recommendations.</p><p><strong>Results: </strong>Post-implementation audit compliance rates improved significantly. Daily bathing of ICU patients with CHG increased from 24% to 96%; education of nursing staff on CHG bathing increased from 30.5% to 100%; documentation of patient hypersensitivities and allergies to CHG increased from 40% to 98%; and use of non-chlorhexidine soap and water for patients allergic to CHG increased from 76% to 100%. Following implementation of the project, the monthly incidence density of HAIs decreased markedly from 10.6‰ to 6.1‰.</p><p><strong>Conclusions: </strong>The implementation of best practices significantly reduced HAIs in adult ICUs across the hospital. Key success factors included information technology, flat-structure communication, a top-down strategy, accountable management, and a centralized materials supply. These factors facilitated adoption of the project simultaneously across multiple units.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A378.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Critical actions for embedding research evidence into practice: how to get the most out of your implementation scientist.","authors":"Carolyn Mazariego, Hossai Gul, Shuang Liang, Angela Kelly-Hanku, Bernadette Brady, Sabine Allida, Rachel Baffsky, Gemma McErlean, Carmen Crespo, Michael Hodgins, Lauren Christie, David Peiris, Deborah Debono, Freya MacMillan, Caleb Ferguson, Nicole Heneka, Sarah G Kennedy, Hueiming Liu, April Morrow, Guillaume Fontaine, Merran Findlay, Sandy Middleton, David Lim, Nicola Straiton, Natalie Taylor","doi":"10.1097/XEB.0000000000000518","DOIUrl":"https://doi.org/10.1097/XEB.0000000000000518","url":null,"abstract":"<p><strong>Abstract: </strong>Implementation science has been gaining traction over the last decade to support health care systems in adopting and sustaining evidence-based interventions, programs, and policies. Given the inherent complexity of implementation research and practice, and their associated methodologies, implementation scientists play a central role in translating research into practice. However, many health care system stakeholders often struggle to understand how best to collaborate with implementation scientists. This commentary discusses the significant benefits of such collaboration, outlining ten critical actions drawn from the collective experience of 25 implementation scientists with over 173 years of combined expertise. This project was conducted under the SPHERE Implementation Science Platform, as part of the Sydney Partnership for Health, Education, Research and Enterprise (SPHERE).The ten recommendations for working with an implementation scientist to optimize implementation efforts include the following: (1) involve implementation scientists early during intervention design, (2) recognize the unique nature and value of implementation science data, (3) integrate implementation assessments into the research plan, (4) foster collaborative partnerships inclusive of implementation science, (5) differentiate between factors affecting implementation and wider constraints, (6) work with implementation scientists to address implementation challenges, (7) prioritize implementation scale and sustainment, (8) embrace that implementation requires continuous learning and adaptation, (9) promote knowledge exchange between implementation science and subject matter experts, and (10) focus on capability- and capacity-building for implementation within the system. By following these recommendations, researchers, clinicians, decision-makers, and implementation scientists can foster impactful collaborations that enhance the translation of research into clinical practice and improve the quality of health care delivery.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A374.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144555379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Telehealth for the management of patients with type 2 diabetes in remote areas of Taiwan: a best practice implementation project.","authors":"Shwu-Feng Tsay, Hsiu-Chun Chang, Pei-Fan Mu, Pei-Lin Chou, Yu-Chu Lin, Jin-Hung Lin","doi":"10.1097/XEB.0000000000000519","DOIUrl":"10.1097/XEB.0000000000000519","url":null,"abstract":"<p><strong>Introduction: </strong>Telehealth services integrate technology with specialized medical care, and can be used to improve blood sugar management and reduce complications in patients with type 2 diabetes.</p><p><strong>Objectives: </strong>This study aimed to improve telemedicine care for patients with type 2 diabetes in public health centers in remote Indigenous communities in Taiwan through evidence-based practices. This included increasing the rates of ophthalmic examinations and enhancing the capacity of health care providers.</p><p><strong>Methods: </strong>This project followed the JBI Evidence Implementation Framework and was supported by the JBI Practical Application of Clinical Evidence System (PACES). Baseline and follow-up audits were conducted among health care providers and patients with type 2 diabetes to measure compliance with best practices and determine any improvements in practice after implementation. HbA1c levels in patients with type 2 diabetes were analyzed using paired sample t -tests, with statistical significance set at p  < 0.05.</p><p><strong>Results: </strong>The follow-up audit revealed that compliance rates for the six audit criteria improved, with Criteria 1-5 increasing from 62.5% to 87.5% or 100%. Additionally, Criterion 6 improved from 37.5% to 62.5%. The HbA1c values of the patients showed pre- and post-intervention means of 7.8291% and 7.3236%, respectively.</p><p><strong>Conclusions: </strong>Using a coaching leadership model along with JBI audit criteria to enhance the knowledge and skills of health care providers was essential for the success of the project. This approach resulted in significant advancements in caring for people with type 2 diabetes.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A377.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":"301-311"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144555380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors that influence the uptake of virtual care solutions in Australian primary care practice: a systematic scoping review.","authors":"Alana Delaforce, Emma Maddock, Pamela Wheeler, Rajiv Jayasena, Joy Parkinson","doi":"10.1097/XEB.0000000000000475","DOIUrl":"10.1097/XEB.0000000000000475","url":null,"abstract":"<p><strong>Introduction: </strong>Uptake of virtual care solutions in primary care settings has increased exponentially, and current evidence suggests high patient satisfaction but mixed clinician views.</p><p><strong>Aims: </strong>This paper aimed to identify factors influencing its implementation to support delivery to the right patient, in the right clinical context, at the right time. Further, this paper evaluates how the updated Consolidated Framework for Implementation Research (CFIR) can be used to assess these factors that contribute to the uptake of virtual care innovations.</p><p><strong>Methods: </strong>This systematic scoping review identified empirical research on factors influencing the uptake of virtual care solutions in the Australian primary care setting. Searches were undertaken in Embase, PubMed, Scopus, and Web of Science. The CFIR was used to code factors influencing the implementation of virtual care solutions. Inductive coding was used to generate new constructs where no appropriate CFIR construct could be identified.</p><p><strong>Results: </strong>Fourteen eligible studies were identified as eligible for inclusion. Five common influencing factors were identified. Three are from the existing CFIR framework, and two are newly developed constructs. CFIR constructs included innovation relative advantage, capability, and IT infrastructure. New constructs included accessibility and suitability. A further six new constructs were identified (trust, privacy, governance, unintended consequences, preference, and choice) but these were not prominently mentioned.</p><p><strong>Conclusions: </strong>Common factors influence virtual care uptake in Australian primary care. The CFIR assisted in conceptualizing these but was not sufficient for capturing factors unique to virtual care. Newly developed constructs are noted to be of importance in the literature, but further research is needed to understand whether they are applicable in multiple contexts.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A286.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":"355-372"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12282591/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142478042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Compression therapy in patients with venous leg ulcers: a best practice implementation project.","authors":"María Jesús Samaniego Ruiz, Nieves Valero Moll, Miguel Muñoz Gálvez, Marina Gallego Jiménez, Laura Albornos Muñoz","doi":"10.1097/XEB.0000000000000433","DOIUrl":"10.1097/XEB.0000000000000433","url":null,"abstract":"<p><strong>Introduction and objectives: </strong>Venous leg ulcers are the most common ulcerations of the lower extremities. Compression is the most important consideration and the gold standard treatment for venous leg ulcers. This implementation project aimed to promote best practices in the management of venous leg ulcers in a rural community-care setting.</p><p><strong>Methods: </strong>This project was guided by the JBI Evidence Implementation Framework, which is grounded in audit and feedback processes, along with a structured approach to identifying and managing barriers to compliance with recommended best practices.</p><p><strong>Results: </strong>Compliance with best practices increased for most audit criteria. The use of compression therapy increased from 16.7% to 60%, documentation increased from 6.7% to 50%, replacement of compression bandages from 6.7% to 60%, patient education from 0% to 46.7%, and holistic assessment from 0% to 13%. However, compliance for individualized interventions to promote adherence remained at 0%.</p><p><strong>Conclusions: </strong>This project succeeded in introducing compression therapy as a basic treatment for venous ulcers. However, continued improvement in the care for venous ulcers and guarantee of long-term implementation of evidence are necessary.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A212.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":"256-264"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141238375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interruption reduction during oral medication rounds among nurses in hematology-oncology wards: a best practice implementation project.","authors":"Jia Wen Siah, Crystal Kai Tian Cheng, Chloe Leyi Choy, Poh Chi Tho, Siew Ping Lang","doi":"10.1097/XEB.0000000000000457","DOIUrl":"10.1097/XEB.0000000000000457","url":null,"abstract":"<p><strong>Objectives: </strong>The aim of the project was to reduce interruptions during oral medication rounds among nurses working in hematology-oncology wards by improving compliance with best practices by 20%.</p><p><strong>Introduction: </strong>Medication errors can adversely affect patient safety. Hence, understanding the underlying contributors to medication errors is necessary. Nurses are the ones who administer medications to patients; however, in clinical areas, interruptions are prevalent and could contribute to medication errors. It is therefore recommended that interventions be implemented to minimize interruptions.</p><p><strong>Methods: </strong>This project was conducted in two hematology-oncology wards from March 2022 to March 2023. Target participants were nurses who served medications in the morning. The project followed an evidence-based audit and feedback methodology using the seven-phase JBI Evidence Implementation Framework. JBI's Practical Application of Clinical Evidence System (PACES) was used to support the audit and feedback process. An interruption reduction bundle consisting of three best practices was implemented.</p><p><strong>Results: </strong>At baseline, only 24% of medications administered occurred without interruption. One month after implementation, there was a 51% improvement in compliance. Six months after implementation, compliance increased to 58%. Nine months post-implementation, the compliance rate remained at 59%. Absolute interruption counts decreased from 47 (baseline), to 27 (1 month post-implementation), to 24 (6 months post-implementation), to 16 (9 months post-implementation). All types of interruptions decreased when comparing the baseline with the latest post-implementation result.</p><p><strong>Conclusions: </strong>The project used evidence-based interventions in a bundle, effectively reducing interruptions during oral medication rounds, and sustaining positive results.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A256.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":"274-281"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A mixed methods study on the barriers and enablers of implementing the Spinal Cord Injury Physiotherapy Clinical Guideline in clinical practice.","authors":"Leanne Rees, Mark McDonald, David Berlowitz, Marnie Graco","doi":"10.1097/XEB.0000000000000510","DOIUrl":"10.1097/XEB.0000000000000510","url":null,"abstract":"<p><strong>Introduction: </strong>Physiotherapy is integral in the care of people with spinal cord injury (SCI). However, physiotherapy management in SCI is potentially challenging due to the low prevalence of SCI, complexity of presentations, and broad scope of physiotherapy interventions.</p><p><strong>Objective: </strong>This study aimed to explore barriers and enablers of using a physiotherapy clinical guideline as perceived by therapists who deliver physical therapies to people with SCI in local health care settings.</p><p><strong>Method: </strong>Following guideline dissemination, therapists were invited to participate in a survey. The survey examined barriers and enablers of following the recommendations in the physiotherapy guideline. Guided by the Theoretical Domains Framework, the survey asked participants to rate their agreement with 18 statements and to answer free-text questions about barriers and enablers. Data analysis adopted a mixed methods approach, including triangulation of quantitative and qualitative data.</p><p><strong>Results: </strong>Fifty-three therapists responded to the survey, representing regional and metropolitan health care settings, as well as public and private sectors. All respondents believed that delivering an intervention according to the guideline was worthwhile. The quantitative and qualitative findings highlighted several conditions under which therapists may find it difficult to follow guideline recommendations. These included potential conflict between patient expectations of therapy and care recommended by the guideline.</p><p><strong>Conclusion: </strong>The findings offer insights into how therapists can be supported to provide evidence-based physical therapies to people with SCI in rehabilitation settings. Recommendations include targeting therapists who see few people with SCI, such as those who work in regional settings; delivering education alongside that of SCI psychosocial care; and including people with SCI as co-educators.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A363.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":"334-344"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143732495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing inpatient diabetes management with the diabetes dashboard.","authors":"Wenyong Wang, Gaurav Puri, Benjamin Sly, Mahnaz Samadbeik, Soong Ng, Jenna Newton, Clair Sullivan","doi":"10.1097/XEB.0000000000000489","DOIUrl":"https://doi.org/10.1097/XEB.0000000000000489","url":null,"abstract":"<p><strong>Abstract: </strong>Inpatient diabetes management presents a complex challenge that is distinct from outpatient management. This is due to acute changes in physiology, medication regimens, and eating patterns associated with hospitalization, alongside the condition's prevalent and variable nature. The conventional systems for managing glycemic control in hospital have been found lacking, with gaps in data integration, decision support, and timely intervention. Queensland Health's development and adoption of the Glucose Management View and the Glucose Assessment for Inpatients (GAIN) dashboard represents a significant leap forward. The TIDieR checklist and guide have been used to report the implementation of these two interventions. The Glucose Management View, available within an individual's electronic medical record, provides an overview of demographics, relevant medication details, pathology data, and blood glucose levels. This cohesive and intuitive interface enhances individual patient trend visibility and facilitates diabetes medication prescribing. GAIN consolidates all diabetes-related patient data within the hospital into a single interface, enabling clinicians to monitor glycemic status across the whole cohort in near real-time, promoting a proactive approach to diabetes management. The future of inpatient diabetes care looks toward the incorporation of machine learning and artificial intelligence (AI) to predict adverse events and streamline care further. However, significant gaps remain in the deployment of these technologies, indicating a need for more comprehensive development and testing of all phases of the AI lifecycle, before integration into clinical practice.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A308.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":"23 3","pages":"383-389"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-discharge telephone follow-up calls to patients with chronic obstructive pulmonary disease by primary care nurses: a best practice implementation project.","authors":"Iris Molina-Vázquez, María Ángeles Rodríguez-León, Desiré Montes-Alamilla, Juan José Suárez-Sánchez, Laura Albornos-Muñóz","doi":"10.1097/XEB.0000000000000484","DOIUrl":"10.1097/XEB.0000000000000484","url":null,"abstract":"<p><strong>Introduction: </strong>Chronic obstructive pulmonary disease (COPD) is a complex health problem, with important repercussions for patients and their families. Interventions need to be improved to prevent exacerbations and reduce high readmission and mortality rates. Evidence suggests that including a telephone follow-up (TFU) call in discharge plans could improve outcomes in patients with a chronic disease.</p><p><strong>Objectives: </strong>This project aimed to improve how primary care nurses in Gran Canaria, Spain, followed up COPD patients after hospital discharge.</p><p><strong>Methods: </strong>This project was guided by the JBI Evidence Implementation Framework, which includes the JBI Practical Application of Clinical Evidence System (PACES) and the Getting Research into Practice (GRiP) method. The JBI approach uses audit, feedback, and re-audit to promote evidence-based health care.</p><p><strong>Results: </strong>A baseline audit was conducted to compare current practices against best practices. Five barriers to best practices were identified and improvement strategies were developed. The follow-up audit revealed 100% compliance for Criteria 1 and 2, which related to COPD patients having a discharge plan and that plan including TFU. There was a 4.88% improvement for both Criteria 3 and 4, which involved the TFU being prompt and using a validated clinical questionnaire. Following project implementation, the 30-day readmission rate increased from 2.78% to 4.88% but the 30-day emergency room presentation rate decreased from 25% to 9.76%.</p><p><strong>Conclusions: </strong>The practice changes were partly achieved, but further strategies are needed to achieve full compliance. Educational programs are necessary when conducting improvement projects. Chances of success increase when decisions about hospital discharge involve both the hospital and the primary care service.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A296.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":"312-321"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142786672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Communication and training interventions for enhanced dementia care in a residential care setting: a best practice implementation project.","authors":"Yun-Chain Roger Yau, Shih-Ping Liu, Shwu-Feng Tsay","doi":"10.1097/XEB.0000000000000511","DOIUrl":"10.1097/XEB.0000000000000511","url":null,"abstract":"<p><strong>Introduction: </strong>Effective communication is essential in dementia care, as it helps reduce patient anxiety and enhance caregiver-patient interactions. However, many caregivers lack specialized training in dementia communication, leading to challenges in daily care.</p><p><strong>Objective: </strong>This project aimed to enhance dementia communication skills among caregivers at the Hua-Suei Nursing Home in Taiwan by addressing training barriers and implementing best practices.</p><p><strong>Methods: </strong>A three-phase approach was used, following the JBI Evidence Implementation Framework. This included a baseline audit of compliance with seven JBI-recommended best practice criteria, tailored improvement strategies using the JBI Getting Research into Practice (GRiP) approach, and a follow-up audit to measure changes. The Dementia Communication Knowledge Assessment (DCKA) quiz evaluated caregivers' knowledge before and after the training.</p><p><strong>Results: </strong>At baseline, 92% of caregivers received classroom-based training, but only 30.4% observed instructors frequently asking questions, and 17.4% saw tailored content. None of the participants had specific dementia communication training, resulting in 0% compliance with detailed enquiries. The average pre-training score was 56.8/100. After implementing strategies such as adaptive scheduling and multifaceted training, compliance rates improved to 100% across all criteria in the follow-up audit. The average post-training score increased to 96.8/100, indicating significant enhancement in caregivers' understanding and application of dementia communication techniques.</p><p><strong>Conclusions: </strong>The project improved compliance with best practices and enhanced the caregivers' dementia communication skills. Correcting the misconception that general dementia training is sufficient is therefore crucial. Sustainable improvement requires ongoing professional development, integrating training into organizational culture, and regular follow-up audits. Future efforts should expand these training programs and examine their long-term impact on caregiver performance.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A360.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":"322-333"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}