Implementation Of Framework Research Articles

Implementing universal maternal depression screening in head start: A convergent mixed methods study

AimsImplementing maternal depression screening in child-serving programs can help ensure that more mothers receive mental health services. This study examined the implementation of universal maternal depression screening in community-based Head Start programs. MethodsQuantitative and qualitative data were merged in a convergent mixed method design to assess four domains from the RE-AIM implementation science framework (Reach, Adoption, Implementation, and Maintenance). Qualitative data included interviews with stakeholders and meeting minutes from the implementation period. Quantitative data included intervention outcomes and administrative data. ResultsIn terms of reach, 85% of eligible Head Start mothers were screened for depression, and English-speaking mothers were more likely to refuse screening than Spanish-speaking or bilingual mothers. Barriers to screening included lack of availability, stigma, privacy concerns, lack of interest, and lack of trust. In terms of adoption, all sites and staff adopted screening due to organizational mandates. In terms of implementation, there was wide variation in rates of positive screenings across staff completing the screening (ranging from 0% to 46%), and barriers included concerns about staff role and lack of training. In terms of maintenance, screening was not sustained after the study period due to organizational priorities and lack of buy-in from staff. ConclusionUniversal maternal depression screening has the potential to reach low-income Head Start mothers, but additional efforts should be made to build staff capacity to engage mothers in screening.

Global policy harmonization in creative commons licensing: A roadmap for balancing creator and user rights

This paper examines the necessity for global policy harmonization in Creative Commons (CC) licensing to prevent legal exploitation and ensure equitable protection for both creators and users. It highlights the challenges posed by inconsistent copyright laws across different jurisdictions, which often lead to vulnerabilities and copyright trolling. Through a detailed analysis of various legal systems, this paper identifies key inconsistencies and proposes international policy standards that balance creator and user rights. A comprehensive roadmap is outlined, featuring phased goals, an implementation framework, and mechanisms for monitoring and evaluation. The paper concludes with recommendations for future research and a call to action for policymakers to collaborate internationally, aiming to create a cohesive and fair digital content-sharing ecosystem.

Increasing the collaboration of data science stakeholders with a knowledge management system

PurposeThis paper presents the design and implementation of collaborative data science framework (CoDS), a knowledge management system for consolidating data science activities in an enterprise.Design/methodology/approachThe development of the CoDS framework is grounded on the design science research methodology for information systems research. In our case study, we first designed the initial framework for CoDS based on a systematic literature review. Then, we collected the expert opinions of eight data scientists to validate the need for generic content for such a knowledge management system. In the second iteration, a portfolio prototype is developed by the same data scientists as a part of our technical action research. Finally, a survey is conducted with 57 data analyst candidates in the last iteration.FindingsUsing the CoDS portfolio strengthened the communication among data scientists and stakeholders to improve development and scaling activities. It eased the reuse or modification of existing analytical solutions in other company processes.Practical implicationsThe CoDS presents a platform on which business details, data-related knowledge, modeling procedures and deployment steps are shared for (1) mediating and scaling ongoing projects, (2) enriching knowledge transfer among stakeholders, (3) facilitating ideation of new products and (4) supporting the onboarding of new employees and developers.Originality/valueThis study proposes a novel structure and a roadmap for creating a data science knowledge management system for the collaboration of all stakeholders in an enterprise.

AI-driven personalization framework for SMES: Revolutionizing customer engagement and retention

In today's competitive business landscape, Small and Medium Enterprises (SMEs) face unique challenges in building and maintaining strong customer relationships. An AI-driven personalization framework offers a transformative solution by enabling SMEs to deliver highly targeted and individualized customer experiences, improving both engagement and retention rates. This review outlines how artificial intelligence (AI) can empower SMEs by integrating data-driven insights with customer interaction processes to revolutionize business practices. AI-driven personalization leverages machine learning algorithms, natural language processing (NLP), and predictive analytics to analyze customer behaviors, preferences, and feedback. By aggregating data from various sources—such as online interactions, purchase histories, and social media activity—AI can generate personalized recommendations, offers, and communication strategies that resonate with individual customers. The framework facilitates dynamic customer segmentation, allowing SMEs to tailor marketing efforts and enhance service delivery. The personalization process also extends beyond marketing by optimizing customer support through AI-powered chatbots and recommendation systems, which provide real-time solutions and advice. This level of personalization fosters stronger emotional connections, increasing customer satisfaction and brand loyalty. Additionally, AI-driven insights enable SMEs to anticipate customer needs, predict churn rates, and proactively address potential issues, thereby boosting retention rates. For SMEs, the implementation of an AI-driven personalization framework is not only cost-effective but scalable, making it accessible even to businesses with limited resources. As SMEs increasingly adopt digital tools, the integration of AI-based personalization becomes essential for staying competitive in a rapidly evolving market. This review highlights the potential of AI in transforming customer engagement strategies for SMEs by offering a tailored, efficient, and sustainable approach to enhancing customer experiences.

Customer journey mapping framework for SMES: Enhancing customer satisfaction and business growth

Customer journey mapping (CJM) is an essential tool for small and medium-sized enterprises (SMEs) to understand and optimize their interactions with customers, thereby driving satisfaction and business growth. This review outlines a customer journey mapping framework designed specifically for SMEs, aiming to enhance customer experiences through a structured approach to identifying key touchpoints, pain points, and opportunities for improvement across the customer lifecycle. The proposed framework involves systematically mapping out every stage of the customer journey, from initial awareness to post-purchase interactions, highlighting moments that significantly impact customer satisfaction. By leveraging customer data, feedback, and analytics, SMEs can gain valuable insights into customer behavior, motivations, and preferences. This framework emphasizes the importance of personalization, using data to tailor the customer experience and foster deeper connections. Additionally, the framework integrates feedback loops, allowing SMEs to continuously gather and analyze real-time customer data. This iterative process helps businesses to proactively identify emerging trends, address customer concerns, and adapt to evolving market demands. By aligning customer needs with business objectives, SMEs can create more targeted marketing campaigns, improve product or service offerings, and enhance customer retention strategies. The implementation of this customer journey mapping framework can lead to several key benefits for SMEs, including improved customer satisfaction, increased brand loyalty, and greater operational efficiency. It also enables SMEs to compete more effectively in their markets by delivering personalized and seamless customer experiences. The framework supports scalability, allowing SMEs to refine their customer engagement strategies as their businesses grow. In conclusion, the customer journey mapping framework serves as a critical tool for SMEs looking to enhance customer satisfaction and drive sustainable business growth. By focusing on data-driven insights and continuous improvement, SMEs can deliver more value to customers, strengthen brand loyalty, and achieve long-term success.

Intra-articular knee injections in patients with primary osteoarthritis in a tertiary clinical setting: a best practice implementation project.

This project aimed to improve physicians' adherence to evidence-based practices regarding the selection and administration of intra-articular knee injections for patients with osteoarthritis. The project also aimed to empower patients by increasing their awareness of these evidence-based practices. In the management of knee osteoarthritis, intra-articular injections are commonly used when initial treatments prove inadequate. However, issues such as patients' demand for rapid relief and variability in physicians' familiarity with optimal practices often lead to suboptimal treatment decisions and potential adverse outcomes. This project followed the JBI Evidence Implementation Framework, which is grounded in an audit, feedback, and re-audit process. Initially, physicians were surveyed on the topic under consideration, and hospital records were reviewed. Subsequently, targeted interventions were implemented, including briefings and the distribution of informative flyers. The baseline audit indicated low adherence with all audit criteria. Various parameters, such as adherence to best clinical practices, informed decision-making by patients, and the recommendation of alternative treatment modalities, were significantly lacking. Following the interventions, substantial improvements were observed, including higher rates of adherence to best clinical practices by physicians for multiple criteria, such as stepwise referral to conservative therapy options and the content of intra-articular injections. Adherence to best clinical practices can be improved through educational briefings for physicians on the most current evidence-based treatment practices for injectable substances in knee osteoarthritis. The active engagement of patients, facilitated by informative flyers and physician assistance, contributed to better involvement in their treatment choices. However, the participation of health care institutions and providers as well as lifelong education practices may be necessary for more comprehensive and sustainable changes. http://links.lww.com/IJEBH/A277.

Framework for Implementation of Building Automation Control Programs for Industrial Heating and Cooling Systems

This article proposes a novel framework for the rapid implementation of automation programs in industrial heating and cooling systems. The global push for sustainability necessitates significant infrastructural transformations within these systems, which currently rely heavily on fossil fuels and are responsible for 75% of industrial final energy consumption. Our research highlights the critical role of design patterns and object-oriented programming principles to address the complex integration of additional energy converters and storage into automation programs. By leveraging design patterns, our framework encapsulates the intricacies of various components, such as actuators, sensors, and storage, within a comprehensive object-oriented model that also allows the integration of different control strategies. Qualitatively, this approach enhances the reusability, scalability, and adaptability of automation programs. Therefore, quantitatively, our framework enables a more resilient and efficient energy system. The framework is validated through its application to a complex, cross-linked industrial heating and cooling system at the ETA Research Factory of the Technical University of Darmstadt. Using the developed framework reduces implementation effort significantly due to its consistent and modular structure resulting from the reusable design patterns.

3.E. Scientific session: Environmental Health Tracking Systems: a tool for planetary health

Abstract Planetary health offers a good framework for better understanding the interconnection between human health and environmental changes, promoting effective cross-sector actions and partnerships, and ensuring policy coherence. Effective implementation of this conceptual framework requires monitoring and reporting on indicators relevant to planetary health that capture the scope, spatial and temporal scales of changes in natural systems that affect human health and well-being. An approach in that sense are the environmental public health tracking systems (EPHT), which imply the ongoing collection, integration, analysis, and interpretation of data at the same spatiotemporal scale about environmental hazards, and related human exposure and health effects, maintaining appropriate data protection measures. It aims to provide public-health decision makers with timely, accurate and systematic data for quantifying health impacts related to environmental factors. EPHT system are proposed as an essential tool for designing and monitoring policies and actions that prevent and reduce environmental health burdens (EHB) efficiently and cost-effectively, and as an alerting system against present and future climatic and health crisis. Pursuing such goals requires the use of health information systems that enable the monitoring and assessing of environmental health in multiple dimensions, considering specificities across different geographical and cultural settings. EPHT system requires defining a rationale on how to select the dimensions and indicators to be included. Common challenges for defining those indicators are related to the availability of data recording, data standardization, and the linkage, integration and sharing of databases. In parallel, it is also important to define a decision aiding tools in which evidence and data are understandable and inform about the extent to which specific policy goals are attained, tailoring such tools to the specific settings. Present session attends to answers to those challenges by sharing experiences from different contexts and countries Key messages • EPHT systems represent an effective tool for progressing in achieving planetary health goals and as a surveillance alerting system for future health crisis. • Adjusting EH data quality recording and analysis in EPHT systems is essential for improving resources assignment, and the effectiveness of healthy policies in reducing EHB.

A general Bayesian algorithm for the autonomous alignment of beamlines.

Autonomous methods to align beamlines can decrease the amount of time spent on diagnostics, and also uncover better global optima leading to better beam quality. The alignment of these beamlines is a high-dimensional expensive-to-sample optimization problem involving the simultaneous treatment of many optical elements with correlated and nonlinear dynamics. Bayesian optimization is a strategy of efficient global optimization that has proved successful in similar regimes in a wide variety of beamline alignment applications, though it has typically been implemented for particular beamlines and optimization tasks. In this paper, we present a basic formulation of Bayesian inference and Gaussian process models as they relate to multi-objective Bayesian optimization, as well as the practical challenges presented by beamline alignment. We show that the same general implementation of Bayesian optimization with special consideration for beamline alignment can quickly learn the dynamics of particular beamlines in an online fashion through hyperparameter fitting with no prior information. We present the implementation of a concise software framework for beamline alignment and test it on four different optimization problems for experiments on X-ray beamlines at the National Synchrotron Light Source II and the Advanced Light Source, and an electron beam at the Accelerator Test Facility, along with benchmarking on a simulated digital twin. We discuss new applications of the framework, and the potential for a unified approach to beamline alignment at synchrotron facilities.

Implementation of PWA in Scholarship Application Using Microservices Architecture for Enhancing User Engagement

The shortage of traditional web development makes researchers turn to web development using Progressive Web App (PWA) in developing a web, which has been increasingly done. PWA has the ability to function even with a low internet connection, maintain interactive user and access speeds, and provide real-time notifications. In modern web development, where the demand for data, features, and users can increase rapidly, an architecture is required to handle this problem. Microservices architecture can answer this. This research will develop a scholarship application using PWA and microservices architecture. The scholarship application was developed using Veu.js for the front end of the client application, MySQL for the application database, and the SLIM framework for microservices implementation. Furthermore, we utilized RAbbitMQ to develop a message broker and Docker for microservices contaner. The scholarship application developed using PWA technology and microservices in this research has been tested by conducting a User Acceptance Test. The results are the implementation of PWA in the scholarship application using microservice architecture has worked well, and the application performance has been able to overcome problems in terms of scalability, speed, and reliability.

The Life + Death Education Framework: Proposition of a 'Universal' Framework for Implementation.

Life and death education is a distinct field of study that has potential life relevance for consideration (e.g., self-awareness and subsequent improvement of one's own health well-being). Existing research development, situating in different learning-sociocultural contexts, has provided consistent evidence that showcases the differing viewpoints of life functioning (e.g., what is the true meaning of life?) and the intricate nature of death and dying (e.g., a death ritual that closely associates with a particular cultural group). Some of the research studies undertaken indicate the effective use of 'philosophization' or the discourse of philosophical analysis, enabling individuals to philosophize, contemplate, and seek transpersonal understanding of the subject matters of life and death (e.g., can a state of 'spiritual transcendence' help to alleviate a person's fear of death?). Such discourse, interestingly, has offered some informative yields for enriching and meaningful life purposes - for example, the seeking to attain transpersonal understanding of life (e.g., what does a state of self-transcendence actually mean?) and/or transpersonal life experience may assist a senior citizen to cope with his mental health during a temporary health crisis. Our teaching and research interest of life and death education over the past decade has led us to consider one important line of inquiry for development: namely, the proposition of a 'universal' blueprint or framework of life and death education for curriculum development, teaching, and research purposes. We are cognizant of the fact that, to date, there is no clear consensus or agreement as to what one is expected (e.g., specific learning outcome) to teach students who wish to study and learn about life and death education. On this basis, the present theoretical article introduces a theoretical framework, termed as 'The Life + Death Education Framework' (e.g., for universities), to assist educators for their quality teaching and/or research inquiries of life and death education. We firmly believe that the Life + Death Education Framework can be universal and, in this case, apply to different learning-sociocultural contexts.

Improving midwives' management of occiput-posterior fetal positions: a best practice implementation project.

The occiput-posterior (OP) fetal position is the most frequent form of labor dystocia. This position has been associated with delaying the second stage of labor and adverse outcomes. This project aimed to improve the quality of intrapartum care provided by midwives for OP fetal positions during the second stage of labor. This best practice implementation project was conducted at the Río Hortega University Hospital in Valladolid, Spain. The project followed the JBI Evidence Implementation Framework, which is based on an audit, feedback, and re-audit process. Current practices were compared against best practices in a baseline audit using 13 audit criteria. Barriers to compliance with best practices were identified and improvement strategies were implemented. An initial follow-up audit was carried out after 4 months to avoid secondary bias. After another 4 months, a second follow-up audit was conducted. Data were collected and compared using the JBI Practical Application of Clinical Evidence System (JBI PACES). The results revealed an improvement in all structure criteria (1-3), five of the process criteria (4-6, 8, 10), and all results criteria (11-13). One process criterion (8) reached maximum compliance in all audits. A key finding was the inadequate recording of upright positions (criterion 7) and the interpretation of cardiotocography (criterion 9). Evidence-based interventions for managing OP labor improved the quality of care and underlined the importance of ongoing training for midwives. Additional studies are required on positions and fetal monitoring during labor. http://links.lww.com/IJEBH/A279.

Prevention and management of medical adhesive-related skin injuries in tumor patients with peripheral central venous catheters: a best practice implementation project.

Peripheral central venous catheters are common vascular access devices used in patients with tumors. To prevent catheter shedding and displacement, it is essential to use medical adhesives to secure the catheters. Repeated adhesion and removal of medical adhesives can weaken the barrier function of the skin, leading to medical adhesive-related skin injuries (MARSI), which can increase the patients' pain and medical expenses. The objective of this project was to utilize the best evidence to prevent and manage MARSI in tumor patients with peripheral central venous catheters. This evidence-based audit and feedback project was theoretically informed by the JBI Evidence Implementation Framework. The framework involves seven phases in which a project team was established; measurable criteria were selected; baseline data were collected; improvement strategies were implemented to address gaps in compliance; a follow-up audit was conducted to assess improvements in compliance; and sustainability measures were considered. The project also used the JBI Practical Application of Clinical Evidence System (PACES) for project management, including data collection and analysis. The JBI Getting Research into Practice (GRiP) approach was also used to support implementation and compliance. In the baseline audit, the compliance rate for the nine audit criteria was low. In the follow-up audit, the compliance rate significantly improved, with each audit criterion exceeding a minimum of 80%, and four audit criteria reaching 100%. Knowledge of MARSI among nurses and patients significantly improved (p < 0.05) and the incidence of MARSI among patients with peripheral central venous catheters decreased. This project successfully enhanced nurses' compliance with MARSI prevention and management and increased the knowledge and skills of both nurses and patients about MARSI. http://links.lww.com/IJEBH/A285.

Bracing urban governance against climate crises: How to integrate high reliability into strategic decision‐making?

AbstractTurning cities socio‐ecologically resilient is one of the pressing challenges in the face of ongoing climate change and accompanying extreme weather events. Despite concentrated efforts within specific urban domains, there exists a necessity for a coordinating mechanism that can concurrently monitor signals of slowly maturing long‐term crises, such as global warming and swiftly intervene to mitigate urgent threats, such as catastrophic floods. This article explores the potential of high reliability principles to inform such a governance mechanism through a novel policy operations room (POR) framework, conceptualizing urban strategic goals as critical infrastructure. We analyze the conditions for integrating elements from top‐down crisis management with bottom‐up participatory scenario exercises and policy simulations in urban governance. Based on pre‐ and post‐POR interviews and meeting transcripts in three Finnish cities we examine the regulative, normative, and cognitive aspects of integration. The analysis indicates that the implementation of a high reliability framework in urban settings can provide valuable support for addressing challenges induced by climate change.

Horti-IoT: a new data framework for Dutch horticulture

Abstract Consistency issues limit the sharing of horticultural data across multiple systems, resulting in challenges for users to analyze data effectively across various systems utilizing artificial intelligence technology. Introducing data governance principles can help standardize and unify data practices, making it easier for analysts to locate, comprehend, transfer and integrate data from diverse sources to enable data-driven horticulture. Implementing data governance and principles specific to horticulture can assist in standardizing the layout and format of data structures from different sources. This study aims to propose a new governance framework, Horti-IoT, based on the Data Management Body of Knowledge and several structured frameworks for the Internet of Things (IoT) governance that will lead to data-driven horticulture. This study is empirical in nature. The Dutch horticulture stakeholders are involved in this initiative, providing the data, knowledge, and experiences needed for this study. The data stream from various sources, including camera images, sap flow sensors, climate sensors and manually measured growth data. The key findings following the implementation of the Horti-IoT framework’s principles are reduced workload for data analysts, efficiency in plant monitoring, savings time in pre-processing, enhanced water resource management, reduced system administrator contacts and compliance with General Data Privacy Regulation. The new proposed Horti-IoT framework, compatible with Dutch horticulture, is presented. The data were obtained from the Lab greenhouse at the World Horti Centre in the Netherlands, in the framework of the Regionale SIA RAAK MKB call March 2022-September 2024 subsidy funds for project title ‘Gewasgroei Goed Gemeten (GeGoGe). This project is a collaboration between three educational institutions. Inholland University of Applied Science, the Hague University of Applied Science, Lentiz Vocational School, and stakeholders.

The SINFONIA project repository for AI-based algorithms and health data

The SINFONIA project’s main objective is to develop novel methodologies and tools that will provide a comprehensive risk appraisal for detrimental effects of radiation exposure on patients, workers, caretakers, and comforters, the public, and the environment during the management of patients suspected or diagnosed with lymphoma, brain tumors, and breast cancers. The project plan defines a series of key objectives to be achieved on the way to the main objective. One of these objectives is to develop and operate a repository to collect, pool, and share data from imaging and non-imaging examinations and radiation therapy sessions, histological results, and demographic information related to individual patients with lymphoma, brain tumors, and breast cancers. This paper presents the final version of that repository, a cloud-based platform for imaging and non-imaging data. It results from the implementation and integration of several software tools and programming frameworks under an evolutive architecture according to the project partners’ needs and the constraints of the General Data Protection Regulation. It provides, among other services, data uploading and downloading, data sharing, file decompression, data searching, DICOM previsualization, and an infrastructure for submitting and running Artificial Intelligence models.

Policy innovation and the sustainable quality management 4.0 framework for integrating sustainable services

Over the past twenty years, service organizations have adopted total quality management to enhance their service quality, significantly impacting business performance, customer satisfaction, and profitability. This study delves into policy development of sustainable quality management theory, benefits, and various service components, while reviewing its implementation in services industries and policy innovation. The concept of Sustainable Quality Management 4.0 (SQM 4.0) integrates sustainable management, traditional quality management, and Quality 4.0 principles to optimize resources, reduce environmental impacts, and enhance decision-making through Industry 4.0, IoT, AI, and big data analytics. The findings offer valuable framework and policy insights for managers and practitioners on quality management and service systems, providing an implementation framework for Sustainable Quality Management in the service sector. The paper outlines comprehensive elements and strategies for implementation as a SQM framework for attaining sustainable quality management in the services industry.

Spatiotemporal monitoring of groundwater supply and active energy for irrigation practice in semi-arid regions of Tunisia with machine learning

ABSTRACT Semiarid regions are facing overexploitation of groundwater resources to meet irrigation needs. Monitoring the water-energy nexus allows for optimal management of extracted water volumes and consumed energy. A semiarid zone was selected in the Nabeul region of Tunisia where 14 farmers, whose wells were equipped with smart electricity and water meters (SWEMs), for instant monitoring of pumped water volumes and the electrical energy required for irrigation. Monthly data over a period of 8 months were used to study the variations in water volumes and active energy. The analysis of variance classified farmers into four groups based on water volumes and five groups based on active energy. Spatial variability analysis using kriging showed that the northeast zone is the most solicited in terms of water pumping and energy consumption with water volume exceeding 4,000 m3/month and active energy reaching 2,500 kWh/month. The prediction of energy based on water volume using machine learning techniques such as random forest and support vector machine was successfully conducted. The tools generated by the methodology were applied to a chosen case in the region to estimate active energy and validate the results obtained. The implemented framework allows for better management of groundwater resources for irrigation.

The potential promise and pitfalls of point-of-care viral load monitoring to expedite HIV treatment decision-making in rural Uganda: a qualitative study

BackgroundHIV treatment programs in Africa have implemented centralized testing for routine viral load monitoring (VLM), which may result in specimen processing delays inhibiting timely return of viral load results. Decentralized, point-of-care (PoC) VLM is a promising tool for expediting HIV clinical decision-making but remains unavailable in most African settings. We qualitatively explored the perceived feasibility and appropriateness of PoC VLM to address gaps along the viral load monitoring continuum in rural Uganda.MethodsBetween May and September 2022, we conducted 15 in-depth interviews with HIV clinicians (facility in-charges, clinical officers, nurses, counselors) and six focus group discussions with 47 peer health workers from three south-central Ugandan districts. Topics explored centralized VLM implementation and opportunities/challenges to optimizing routine VLM implementation with PoC testing platforms. We explored perspectives on PoC VLM suitability and feasibility using iterative thematic analysis. Applying the Framework Method, we then mapped salient constraints and enablers of PoC VLM to constructs from the Consolidated Framework for Implementation Research.ResultsClinicians and peers alike emphasized centralized viral load monitoring’s resource-intensiveness and susceptibility to procedural/infrastructural bottlenecks (e.g., supply stockouts, testing backlogs, community tracing of clients with delayed VLM results), inhibiting timely clinical decision-making. Participants reacted enthusiastically to the prospect of PoC VLM, anticipating accelerated turnarounds in specimen processing, shorter and/or fewer client encounters with treatment services, and streamlined efficiencies in HIV care provision (including expedited VLM-driven clinical decision-making). Anticipated constraints to PoC VLM implementation included human resource requirements for processing large quantities of specimens (especially when machinery require repair), procurement and maintenance costs, training needs in the existing health workforce for operating point-of-care technology, and insufficient space in lower-tier health facilities to accommodate installation of new laboratory equipment.ConclusionsAnticipated implementation challenges, primarily clustering around resource requirements, did not diminish enthusiasm for PoC VLM monitoring among rural Ugandan clinicians and peer health workers, who perceived PoC platforms as potential solutions to existing inefficiencies within the centralized VLM ecosystem. Prioritizing PoC VLM rollout in facilities with available resources for optimal implementation (e.g., adequate physical and fiscal infrastructure, capacity to manage high specimen volumes) could help overcome anticipated barriers to decentralizing viral load monitoring.

Improving the nursing quality of non-pharmacological interventions for elderly constipation patients in the hospital: a best practice implementation project.

Non-pharmacological interventions are the preferred treatment for constipation; however, health care professionals in clinical settings tend to focus more on pharmacological treatments. This best practice implementation project aimed to integrate the best evidence on non-pharmacological interventions for elderly patients with constipation in clinical care practice and to promote the use of non-pharmacological interventions for such patients in the hospital setting. This project is based on the JBI Evidence Implementation Framework, which follows three stages. The first stage involved a baseline audit using two audit criteria derived from the best available evidence. This audit evaluated current clinical scenarios, guided by the i-PARIHS framework. The second stage involved analyzing the results of the baseline audit, identifying barriers to compliance, and developing and implementing strategies to overcome those barriers. Strategies included nursing education, development of constipation information booklets for nurses and patients, establishment of a nursing workflow, and modification of the department environment. In the third stage, a follow-up audit was conducted to evaluate the implementation, using the same data collection indicators and methods as in the baseline audit. Sixty patients participated in the project. Compliance for Criterion 1 (patient education) increased from 0% to 60% (P < 0.001), while compliance for Criterion 2 (monitoring patients' bowel health) increased from 0% to 100% (p < 0.001). The results indicate that this evidence-based implementation project facilitated the application of non-pharmacological interventions for elderly patients with constipation. Nurses played a significant role in developing regular defecation habits in patients and monitoring their defecation. http://links.lww.com/IJEBH/A284.