Evaluation Of Best Practices Research Articles

Exploring association model across banks and fintechs in India

Purpose Bank–fintech associations are significant globally, establishing purposeful eco-systems towards extending and complementing capabilities, reach and customer experiences. This paper aims to explore 39 leading fintechs in India catering across payments, lending, wealth management, regulation, neo-banks and other banking functions. Alongside fintechs, the research studies 19 leading banks (public and private) to understand the nature of bank–fintech associations in the Indian context. Design/methodology/approach The research focuses on narratives from leading banks and top fintechs in India, captured from public disclosures and leadership interviews. The study leverages qualitative research techniques, including grounded theory approaches of inductive analysis, to codify interview and narrative observations to discover relevant objectives, scenarios, challenges and outcomes in India-centric bank–fintech associations. Findings Bank–fintech associations in India are increasingly focusing on financial services portfolio diversification and improvement in customer experience. Simultaneously, both banks and fintechs, differentiate with innovations and extend offerings to target underserved customer segments. The associations are beneficial for both banks and fintechs in transforming offerings and improving efficiency, scale across channels. Through codification of observations, review of existing literature and evaluation of best practices, alongside subject matter expertise, the study evolves a generalized “Association Model”. The model can steer meaningful bank–fintech associations in India and globally. The association model relates to observables like objectives, enablers of bank–fintech associations, challenges and association-driven value outcomes. Built from study of practices, the proposed model is relevant for strategic orientation in bank–fintech associations. Originality/value The findings reveal practices in bank–fintech associations in India with significant learning opportunity for organizational leaders globally. Understanding the nature of association is relevant for strategic interventions, particularly in scenarios of inter-organization collaborations. Central banks, policymakers, governments, investors, banks and fintechs can use the derived association model to establish, govern and steer purposeful value-driven associations.

Analysis of the use of deep brain stimulation in the treatment of Parkinson's disease

The central question of this study was the Analysis of deep brain stimulation (DBS) in the treatment of Parkinson's disease. The need to more deeply understand the benefits and limitations of DBS, especially given its increasing use as the standard treatment for advanced Parkinson's patients, justified this research. Detailed analysis of clinical outcomes and improvements in quality of life provided by DBS could offer valuable information for optimizing treatment protocols and clinical decision-making. This study aimed to address these issues through a comprehensive review of the existing literature, analysis of clinical data, and evaluation of best practices for DBS implementation in Parkinson's disease treatment. The methodology consisted of a qualitative literature review, utilizing sources such as Scielo, Google Scholar, scientific journals, and academic repositories. Relevant studies published in Portuguese, English, and Spanish over the last ten years were included. Inclusion and exclusion criteria ensured the selection of high-quality studies focused on the efficacy of DBS in treating Parkinson's disease. The results demonstrated significant benefits of DBS in improving both motor and non-motor symptoms, with DBS showing superior efficacy compared to other treatments. The study concluded that DBS is a highly effective therapeutic approach for Parkinson's disease, offering substantial improvements in patient quality of life and symptom management, highlighting the need for further research to optimize this treatment modality.

Evaluation of good practices and opportunity areas of a Collaborative Online International Learning (COIL) program: Global Shared Learning Classroom

Evaluation of good practices and opportunity areas of a Collaborative Online International Learning (COIL) program: Global Shared Learning Classroom

The Use of Artificial Intelligence Techniques in Nursing Data Systems: Scoping Review

Introduction. Artificial intelligence and machine learning are technologies that assist in uncovering patterns in data that can inform clinical decision-making. The Registered Nurses’ Association of Ontario has used artificial intelligence techniques to assist in understanding impactful clinical practices and implementation strategies. This scoping review aimed to discover the adaptation and implementation of various artificial intelligence and machine learning techniques in various healthcare settings using different data systems that house nursing-related data. Methodology. In March 2022, a scoping review was conducted to search for peer-reviewed literature using the following terms: “nursing”, “artificial intelligence”, “data systems”, “statistics”, and “aggregated data”. Studies were excluded if they were not relevant to nursing, utilized qualitative or mixed-methods analyses, were literature review articles, and did not focus on artificial intelligence or the use of patient-level data. Results. A total of 2,627 articles were retrieved, with 1,518 articles remaining after de-duplication. Through title and abstract screening, 1,347 articles remained. Following the full-text screening, 13 studies remained. Artificial intelligence techniques used by healthcare data systems include regression, neural networks, classification, and graph-based methods, among others. Discussion. There is a gap in the application of artificial intelligence methods in data systems that evaluate the impact of implementing best practices in nursing. More data systems are needed that employ artificial intelligence techniques to support the evaluation of best practices in nursing and other health professions. Conclusions. Various artificial intelligence techniques in data systems housing nursing-related data were retrieved. However, more data systems and research are needed in this area.

Neurodevelopmental Outcomes for Individuals With Congenital Heart Disease: Updates in Neuroprotection, Risk-Stratification, Evaluation, and Management: A Scientific Statement From the American Heart Association.

Over the past decade, new research has advanced scientific knowledge of neurodevelopmental trajectories, factors that increase neurodevelopmental risk, and neuroprotective strategies for individuals with congenital heart disease. In addition, best practices for evaluation and management of developmental delays and disorders in this high-risk patient population have been formulated based on literature review and expert consensus. This American Heart Association scientific statement serves as an update to the 2012 statement on the evaluation and management of neurodevelopmental outcomes in children with congenital heart disease. It includes revised risk categories for developmental delay or disorder and an updated list of factors that increase neurodevelopmental risk in individuals with congenital heart disease according to current evidence, including genetic predisposition, fetal and perinatal factors, surgical and perioperative factors, socioeconomic disadvantage, and parental psychological distress. It also includes an updated algorithm for referral, evaluation, and management of individuals at high risk. Risk stratification of individuals with congenital heart disease with the updated categories and risk factors will identify a large and growing population of survivors at high risk for developmental delay or disorder and associated impacts across the life span. Critical next steps must include efforts to prevent and mitigate developmental delays and disorders. The goal of this scientific statement is to inform health care professionals caring for patients with congenital heart disease and other key stakeholders about the current state of knowledge of neurodevelopmental outcomes for individuals with congenital heart disease and best practices for neuroprotection, risk stratification, evaluation, and management.

Recovery from Addictions in Europe: Theory, Models and Methods

Abstract Recovery is a therapeutic intervention in addictive behaviors (and other kind of disorders), based in the improvement of personal, social and collective skins and capacities, in order to improve the health and social balance and to decrease the impact of substance use and other addictions. In the book Recovery from Addictions in Europe: Theory, models and Methods, the author makes an analysis of the history of the concept (including the Recovery Capital concept and the development of the Science of Recovery), the evolution of the interventions, an evaluation of good practices and a critical reflection about what it works and what it needs improvement in Recovery Oriented programs. Main conclusions are the increasing of the Science of Recovery, the necessary adaptation of Recovery oriented programs and other interventions to actual addictive behaviors and the development of a Recovery oriented model (the HERMESS model). Keywords: Recovery capital, HERMESS model, evaluation of programs, mixed methodology, Science of Recovery.

Erratum for Humphries et al., "CLSI Methods Development and Standardization Working Group Best Practices for Evaluation of Antimicrobial Susceptibility Tests".

Erratum for Humphries et al., "CLSI Methods Development and Standardization Working Group Best Practices for Evaluation of Antimicrobial Susceptibility Tests".

Evaluating primary care transformation: synthesis of findings from UK pilot project reviews.

Pilot 'new models' of primary care have been funded across the UK since 2015, through various national transformation funds. Reflections and syntheses of evaluation findings provide an additional layer of insight into 'what works' in transforming primary care. To identify good practice in policy design, implementation, and evaluation for primary care transformation. A thematic analysis of existing pilot evaluations in England, Wales, and Scotland. Ten studies presenting evaluations of three national pilot studies - the Vanguard programme in England, the Pacesetter programme in Wales, and the National Evaluation of New Models of Primary Care in Scotland - were thematically analysed, and findings synthesised in order to identify lessons learnt and good practice. Common themes emerged across studies in all three countries at project and policy level, which can support or inhibit new models of care. At project level, these included the following: working with all stakeholders, including communities and front-line staff; providing the time, space, and support necessary for the project to succeed; agreeing on clear objectives from the outset; and support for data collection, evaluation, and shared learning. At policy level, more fundamental challenges related to the parameters for pilot projects, in particular, the typically short-term nature of funding, with an expectation of results within 2-3 years. Changing expectations about outcome measures or project guidance part-way through project implementation was also identified as a key challenge. Primary care transformation requires coproduction and a rich, contextual understanding of local needs and complexities. However, a mismatch between policy objectives (care redesign to better meet patient needs) and policy parameters (short timeframes) is often a significant challenge to success.

Best Practices for Evaluation and Treatment of Agitated Children and Adolescents (BETA) in the Emergency Department: Consensus Statement of the American Association for Emergency Psychiatry.

Agitation in children and adolescents in the emergency department (ED) can be dangerous and distressing for patients, family and staff. We present consensus guidelines for management of agitation among pediatric patients in the ED, including non-pharmacologic methods and the use of immediate and as-needed medications. Using the Delphi method of consensus, a workgroup comprised of 17 experts in emergency child and adolescent psychiatry and psychopharmacology from the the American Association for Emergency Psychiatry and the American Academy of Child and Adolescent Psychiatry Emergency Child Psychiatry Committee sought to create consensus guidelines for the management of acute agitation in children and adolescents in the ED. Consensus found that there should be a multimodal approach to managing agitation in the ED, and that etiology of agitation should drive choice of treatment. We describe general and specific recommendations for medication use. These guidelines describing child and adolescent psychiatry expert consensus for the management of agitation in the ED may be of use to pediatricians and emergency physicians who are without immediate access to psychiatry consultation.Reprinted from West J Emerg Med 2019; 20:409-418, with permission from the authors. Copyright © 2019.

Evaluation of Best Practices in Terms of Health Management of City Hospitals: A Qualitative Analysis

Bu çalışmada Yozgat, Isparta, Adana ve Mersin Şehir Hastanelerinin iyi uygulama örnekleri ile ilgili öne çıkan tema, kategori ve kodların tespit edilmesi amaçlanmıştır. Mevcut şehir hastaneleri bünyesindeki iyi uygulama örneklerinin gelecekte açılacak olan diğer şehir hastanelerine yol göstermesi sağlanırken, süreçlerin iyileştirilmesi, sürdürülebilirliğin ve yönetilebilirliğin sağlanması adına şehir hastaneleri yöneticilerine de fayda sağlaması hedeflenmektedir. Nitel bir araştırma yöntemlerinden yüzyüze derinlemesine görüşme tekniği kullanılarak 2018 Nisan – Temmuz ayları arasında Şehir hastanelerinin üst ve orta düzey çeşitli pozisyonlarda görev yapan toplam 18 yönetici ile yaklaşık 830 dakika süren görüşmeler gerçekleştirilmiştir. Veriler katılımcılarla yarı-yapılandırılmış görüşme formu aracılığıyla toplanmıştır. Görüşme formunda yer alan sorular yedi tema altında toplanmıştır. Çalışmanın temalarını tesis yönetimi, insan kaynakları yönetimi, otelcilik hizmetleri yönetimi, tedarik zinciri yönetimi, yönetişim uygulamaları, hasta güvenliği uygulamaları ve elektronik sağlık kaydı temelli katma değerli uygulamalar oluşturmaktadır. NVIVO 12.0 nitel analiz programında her bir tema ayrı ayrı değerlendirilerek içerik analizi tekniği ile çözümlenmiş; kategori ve kodlar belirlenmiş, şehir hastanelerinde kullanılan iyi uygulamalar ortaya çıkarılmıştır. Sonuç olarak, Türkiye’de açılmış ve açılması planlanan şehir hastanelerinde yaşanması muhtemel problemlerin iyi uygulama örnekleri ile minimuma indirgenebilmesi için diğer hastanelere yönetsel fonksiyonlar ve sağlık bilişimi gibi temel konularda yol gösterici nitelikte olacak bulgulara yer verilmiştir. Nitel analiz sonucu elde edilen bulgular tartışılarak yorumlanmıştır.

Open Globe Injuries: Review of Evaluation, Management, and Surgical Pearls.

Ocular trauma may either be closed globe or open globe. Open globe injuries are full-thickness defects of the eyewall and are often differentiated by the mechanisms of injury from which they are caused: sharp or blunt trauma. They are ocular emergencies and can lead to substantial visual morbidity. Without timely intervention, damage is irreversible and leads to permanent vision loss. The goals of evaluation are to identify the mechanism of injury, characterize the extent of injury, and gather relevant history. If an open globe is suspected, ophthalmologic consultation should be requested. Once an open globe is diagnosed, preparations for surgery should be made immediately and steps should be taken to avoid further injury. Intraocular infection risk is relatively high, requiring immediate empiric systemic antibiotics. Emergent surgical exploration and primary closure is indicated whenever possible. After initial closure, secondary surgery and revision may be needed to improve vision outcomes, followed by extensive follow-up. In this review, best practices for evaluation and management are reviewed, with particular focus on the surgical approach and techniques.

Outreach to facilitate return to VA care for veterans with serious mental illness: A mixed-methods evaluation of best practices.

Outreach to people with serious mental illness who are disengaged from treatment can facilitate return to care. However, little is known regarding what outreach strategies are effective. This mixed-methods evaluation assessed best practices for conducting outreach to Veterans with serious mental illness via the national Veterans Health Administration Re-Engaging Veterans with Serious Mental Illness program by comparing the strategies used by high-performing sites and low-performing sites. Quantitative data included the types and number of contact attempts used to reach Veterans. Qualitative data included interviews with clinicians from high- and low-performing sites. Results indicated making at least four contact attempts using methods of phone, certified letter, and next of kin differentiated high from low-performing facilities. Clinicians from high-performing sites also differed from low-performing sites in their expressed philosophy about outreach, demonstrated a broader array of strategies in attempting to contact Veterans, and described greater connections with others at their site, with clinicians around the country, and with national program resources. Implications of evaluation findings for outreach programs and research are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines).

An important need exists for strategies to perform rigorous objective clinical-task-based evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need, we propose a 4-class framework to evaluate AI algorithms for promise, technical task-specific efficacy, clinical decision making, and postdeployment efficacy. We provide best practices to evaluate AI algorithms for each of these classes. Each class of evaluation yields a claim that provides a descriptive performance of the AI algorithm. Key best practices are tabulated as the RELAINCE (Recommendations for EvaLuation of AI for NuClear medicinE) guidelines. The report was prepared by the Society of Nuclear Medicine and Molecular Imaging AI Task Force Evaluation team, which consisted of nuclear-medicine physicians, physicists, computational imaging scientists, and representatives from industry and regulatory agencies.

Hidden realities of electrical injuries.

The clinical spectrum of electrical injury ranges from the absence of any external physical signs to severe and life-threatening trauma. This article discusses the fundamental concepts and misunderstandings surrounding electrical injuries and the best practices for evaluation and treatment.

522 Recruitment Optimization: A Strategic Approach to Integrating Recruitment Services through a Coordinated Multidisciplinary Team

OBJECTIVES/GOALS: Provide recruitment support via a coordinated application of strategic operations, participant engagement practices, and informatic capabilities best practices. Improve study success through the discovery of optimal recruitment practices, development of needed services, leverage of existing resources, infrastructure and guidance. METHODS/STUDY POPULATION: The optimization effort utilized a variety of methods for engaging participants and obtaining information related to the recruitment needs of study teams. Information was collected from an advisory board and through surveys of a diverse group of investigators and research coordinators examining recruitment barriers as well as current and possible future recruitment services. A workflow of the investigative teams recruitment experience was created to identify strengths, gaps and areas for improvement. This information was used to develop a set of recommendations for the Indiana CTSI leadership. Three pillars were tasked with tackling specific areas through an integrative and collaborative approach: (1) study planning and operations, (2) informatics, and (3) participant engagement and health literacy. RESULTS/ANTICIPATED RESULTS: Key resulting recommendations included: creating a recruitment navigator to direct clients to the most appropriate service(s), adding a community engaged staff member and a digital public engagement specialist to the recruitment services team, redesigning the website navigations, creating participant payment guidelines, creating participant engagement principles guidelines, improving informatics support, and continual evaluation of best practices and innovations in recruitment support. An intake and follow-up survey were created for clients to assess services offered, those used, and ultimately the success of those services in improving recruitment measures. DISCUSSION/SIGNIFICANCE: The optimization efforts have shown a positive response from study teams demonstrated by an uptick of support requests. By taking an intensive strategic planning approach to streamlining recruitment services, the Indiana CTSI has leveraged existing resources to better serve clients in need of critical recruitment assistance.

Evidence-Informed Policy-Making: Are We Doing Enough? Comment on "Examining and Contextualizing Approaches to Establish Policy Support Organizations - A Mixed Method Study".

In their study of manifestations of policy support organizations (PSOs), Al Sabahi et al found that PSOs are united in their goal to support evidence-informed policy-making (EIPM), albeit with differing approaches. Their article is an important contribution to the body of research on evidence utilization and implementation. The unprecedented evidence climate presented by coronavirus disease 2019 (COVID-19) provides a unique window to motivate EIPM implementation. Research such as Al Sabahi and colleagues must prompt a dialogue regarding how best to address some of the current shortcomings in the field of EIPM. Monitoring and evaluation of best practices in EIPM is scarce. EIPM uptake is unsatisfactory, and the scientific community needs to ask itself why that is and what can be done. And, we should strive to develop a gradient that discerns between the convenient and the essential so countries can evaluate and pursue the policies to best address their greatest pain points through evidence.

An Evaluation of Best Practices in an Air Quality Student Science Project in Ethiopia

A science project as part of a student’s curriculum, which we call student science, might be the answer to two problems for a low-income country like Ethiopia: conventional science can be expensive and many students lack training in practical skills. Earlier studies have been conducted with respect to lay people (citizens or students) conducting (parts of) research (e.g. citizen science), but rarely in the context of a public university in a low-income country. A student science project at Arba Minch University (Ethiopia) has been evaluated in three steps. Firstly, best practices for student science projects are derived from the literature. Secondly, it is evaluated to what extent these best practices were executed in an air quality student science project executed by 33 groups of undergraduate students at Arba Minch University. Thirdly, the scientific contribution of the project is evaluated by assessing the quality of the data in comparison to studies in similar scenarios, as well as its relation to a knowledge gap and a problem for the community. We find that the best practices from earlier studies are feasible in the study context. Furthermore, we find a scientific contribution, as most of the students’ work resulted in quality data that relates to knowledge gaps which are a problem for the Arba Minch community. Student science at a public university in a low-income country is feasible and can, as such, serve both scientific and educational needs. It is recommended that public universities in low-income contexts implement part of their curriculum goals in such projects.

Evaluating the Implementation of Evidence-based Kidney Nutrition Practice Guidelines: The AUGmeNt Study Protocol

Evidence-based nutrition practice guidelines (EBNPGs) inform registered dietitian nutritionist (RDN) care for patients with chronic kidney disease grade 5 treated by dialysis; however, there has been little evaluation of best practices for implementing EBNPGs. In this effectiveness-implementation hybrid study with a quasi-experimental design, United States RDNs in hemodialysis clinics will document initial and follow-up nutrition care for patients with chronic kidney disease grade 5 treated by dialysis using the Academy of Nutrition and Dietetics Health Informatics Infrastructure before and after being randomly assigned to a training model: (1) EBNPG knowledge training or (2) EBNPG knowledge training plus an implementation toolkit. The aims of the study include examining congruence of RDN documentation of nutrition care with the EBNPG; describing common RDN-reported EBNPG acceptability, adoption, and adaptation issues; and determining the feasibility of estimating the impact of RDN care on nutrition-related patient outcomes. The AUGmeNt study can inform effective development and implementation of future EBNPGs. Keywords: Chronic kidney diseases; medical nutrition therapy; implementation science; clinical practice guideline; nutrition care process terminology; dietitian.

Cops, Clinicians, or Both? Collaborative Approaches to Responding to Behavioral Health Emergencies.

How a community responds to behavioral health emergencies is both a public health issue and social justice issue. Individuals experiencing a behavioral health crisis often receive inadequate care in emergency departments (EDs), boarding for hours or days while waiting for treatment. Such crises also account for a quarter of police shootings and >2 million jail bookings per year. Racism and implicit bias magnify these problems for people of color. Growing support for reform provides an unprecedented opportunity for meaningful change, but solutions to this complex issue will require comprehensive systemic approaches. As communities grapple with behavioral health emergencies, the question is not just whether law enforcement should respond to behavioral health emergencies but how to reduce unnecessary law enforcement contact and, if law enforcement is responding, when, how, and with what support. This policy article reviews best practices for law enforcement crisis responses, outlines the components of a comprehensive continuum-of-crisis care model that provides alternatives to law enforcement involvement and ED use, and offers strategies for collaboration and alignment between law enforcement and clinicians toward common goals. Finally, policy considerations regarding stakeholder engagement, financing, data management, legal statutes, and health equity are presented to assist communities interested in taking steps to build these needed solutions.

Recommendation and implementation of good practice in researcher evaluation in Finland

Finland is among the first countries to have developed national recommendation on responsible research assessment in 2020. Recommendation for the Responsible Evaluation of a Researcher in Finland provides a set of general principles (transparency, integrity, fairness, competence, and diversity), which apply throughout 13 recommended good practices to improve four aspects of researcher evaluation: A) Building the evaluation process; B) Evaluation of research; C) Diversity of activities; and D) Researcher’s role in the evaluation process. The national recommendation was produced by a broad-based working-group constituted by the Federation of Finnish Learned Societies, however the implementation needs to take place at institutions, which all have their diverse circumstances, challenges, needs and goals. The national recommendation has an implementation plan, which includes development of national level infrastructures and services to support more qualitative and diverse assessments policies and practices locally. The institutional uptake of the recommendation will be promoted by forthcoming National policy and executive plan for open scholarship, and tracked across all research performing organisations as a part of biannual Open Science monitoring exercise starting in 2022.