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PROBLEM: Children of different age groups frequently undergo painful procedures involving needles, which can be a source of significant discomfort. Regrettably, this aspect of care often receives insufficient attention from healthcare professionals. The existing literature proposes several methodologies for managing procedural pain, with nonpharmacological techniques being particularly promising. These techniques should be adapted to the patient's age, but literature predominantly emphasizes their use with infants. Thus, it is necessary to evaluate their effectiveness in diverse age groups. Consequently, the purpose of this systematic review is to identify non-pharmacological interventions used to prevent needle-related procedural pain in children (age group 6-12 years). ELIGIBILITY CRITERIA: Primary studies in English language on non-pharmacological interventions in children aged 6-12 years undergoing needle-related procedures found on PubMed, CINAHL and Embase. SAMPLE: A total of 18 studies were included. RESULTS: The results indicate the potential application of various non-pharmacological techniques, with distraction methods standing out. These techniques include activities like utilizing cards, watching cartoons, employing virtual reality and playing video games. CONCLUSIONS: Children's procedural pain represents a significant challenge in treatment plans. Literature offers several approaches, including nonpharmacologic methods, to control this problem. Prioritizing procedural pain management is critical both at clinical and organizational levels to improve the quality of pediatric care. IMPLICATIONS: These findings offer different options to support clinical practice, holding the potential to enhance the quality of patient care.
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Aims and Objectives: This review aims to analyze the effectiveness of motivational interviewing (MI) in enhancing therapeutic adherence and compliance in adult patients with inflammatory bowel disease (IBD), especially considering the disruptions caused by the COVID-19 pandemic. Background: IBD, which includes conditions such as ulcerative colitis and Crohn's disease, affects over 10 million people globally. It significantly impacts both physical and psychological well-being, leading to challenges in therapeutic adherence. Only 25-47% of patients with IBD adequately follow prescribed treatments. Design and Methods: An integrative methodology that combines qualitative and quantitative research was utilized, following a 7-step framework. This framework encompasses identifying the research question, devising a search strategy, performing a critical appraisal, summarizing findings, extracting data, conducting an analysis, and drawing conclusions. Results: Poor adherence to therapy among patients with IBD can exacerbate disease progression and result in complications. MI has been identified as a promising approach to improving both adherence and treatment outcomes. Studies, including those predating the COVID-19 pandemic, have demonstrated MI's effectiveness in enhancing adherence among patients with IBD. Conclusions: MI shows promise in enhancing adherence among adult patients with IBD. Although initial results are promising, additional research is needed to thoroughly understand its effectiveness across various clinical contexts. Relevance to Clinical Practice: The findings underscore the potential of MI as an integral component of IBD treatment strategies, suggesting that its implementation could enhance patient-provider interactions and lead to better overall health outcomes.
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INTRODUCTION: Digital competencies are essential for nurses to actively participate in the digitisation of healthcare systems. Therefore, it is important to assess their skill levels to identify strengths and areas for improvement. METHOD AND ANALYSIS: This study aims to investigate nurses' knowledge, attitudes, behaviours, subjective norms and behavioural control regarding digital health. A knowledge-attitude-practice model guided the development of a structured questionnaire divided into six sections. A sample of 480 registered nurses of Naples will be involved in the study. After conducting a pretest, an invitation will be publicised through the institutional communication channels of Nurses Provincial Order of Naples. Nurses will respond via a unique link or quick response code sent through a PEC email system (a legally valid email system, which guarantees delivery and receipt). They will have 30 days to complete the survey, scheduled between May and July 2024. ETHICS AND DISSEMINATION: No ethics committee approval was required, as the study does not involve minors, direct or indirect physical or physiological harm to participants, or clinical trials. Anonymity will be guaranteed at all data collection and processing levels. The results will be broadly distributed through conference presentations and peer-reviewed publications. The effective use of digital technologies by healthcare professionals can bring significant improvements to healthcare services and help improve the health of individuals and community health. The study's findings will serve as a foundation for developing and implementing educational programmes related to eHealth and telemedicine, promoting the harmonisation of such programmes.
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Conocimientos, Actitudes y Práctica en Salud , Humanos , Encuestas y Cuestionarios , Enfermeras y Enfermeros/psicología , Actitud del Personal de Salud , Italia , Proyectos de Investigación , Telemedicina , Salud DigitalRESUMEN
Barriers to accessing care and misinterpretations of ischemic heart disease symptoms due to lack of awareness contribute to women's delay in seeking care. Women may delay seeking treatment for up to 3 h or even up to 5 days. They often perceive themselves to be at low risk of cardiovascular disease (CVD) and prioritize family responsibilities or household chores. The causes of this delay are multifactorial and influence the decision-making process, particularly in the pre-hospital phase. The objective of this study protocol is to evaluate prodromal symptoms and identify risk behaviors in women with acute myocardial infarction (AMI). This is a protocol for a multicenter study that will be conducted using the mixed-method methodology using the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey (MAPMISS) to evaluate symptoms and semi-structured interviews to investigate behaviors. This study protocol is intended to fill an important knowledge gap on premonitory and acute symptoms of AMI in women in Italy, as well as to understand the causes and mechanisms underlying delays in accessing healthcare services during an acute event such as AMI. The investigation of this issue will facilitate the removal of gender-related inequalities in the diagnosis and treatment of acute myocardial infarction while also fostering dialogue on the barriers to behavior change.
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The analysis of contemporary society, characterized by technological, economic, political, social, and cultural changes, has become more challenging due to the development of the internet and information and communication technologies, which provide a vast and increasingly valuable source of information, knowledge, and data. Within this context, so-called open data-that is, data that are made public, especially by public administrations, through an open governance model (transparent and accessible to citizens) are assuming a significant role. This is a topic of growing importance that scientific research is addressing in an attempt to discern the multiplicity of social, educational, legal, technological, statistical, and methodological issues that underlie the creation and use of such data. This article aims to provide insights into understanding scientific trends on the topic of open data through a bibliometric approach. Specifically, a total of 3,110 publications related to the disciplinary fields of the social sciences and humanities published from 2013 to 2022 were collected. The data was then analyzed using network and factorial analysis techniques to detect the conceptual structure to identify the trends of topics and perspectives of research that characterize open data studies.