Validez de Diagnósticos de Enfermería para personas en condiciones renales crónicas en tratamiento conservador

ABSTRACT Objective: To develop and validate Nursing Diagnoses statements of the International Classification for Nursing Practice (ICNP®) aimed at the care of people with chronic kidney conditions undergoing conservative treatment. Method: This is a methodological research structured in sequenced construction stages, cross-mapping, content validation by the Delphi Technique by specialist nurses, and categorization of Nursing Diagnoses. Results: Forty-two specialist nurses participated in the first round and 34 in the second. A total of 179 Nursing Diagnoses statements were prepared, categorized according to Roy’s adaptation model, of which 160 were validated for content, with Content Validity Index ≥ 0.80. Conclusion: The Diagnoses developed and validated show the modes of adaptation to health of people with chronic kidney conditions undergoing conservative treatment, influenced by biological, psychological, social, and cultural needs, with the Physiological Mode being the most prevalent.info:eu-repo/semantics/publishedVersio

Diagnósticos, resultados e intervenciones de enfermería en el cuidado a personas con Covid-19 en estado crítico

Objective: To develop and validate a terminological subset of the International Classification for Nursing Practice for COVID-19 patients in critical care. Method: This is a methodological study, which followed the guidelines of the Brazilian method, using the Basic Human Needs as a theoretical model. Content validation was performed by 25 specialist nurses using the Delphi technique. Results: A total of 73 diagnoses and their respective nursing results were prepared. Of these, 62 statements had a Content Validity Index ≥ 0.80, with the need for oxygenation having the highest number of statements. Of the 210 nursing interventions developed, and after suggestions from experts, 150 interventions reached an index ≥ 0.80 and comprised the terminological subset. Conclusion: The terminological subset developed showed statements that were validated by specialist nurses and, therefore, are relevant to the nurse’s clinic in the critical care scenario associated with Covid-19.info:eu-repo/semantics/publishedVersio

SPECIALIZED NURSING TERMINOLOGY FOR THE CARE OF CHILDREN AND ADOLESCENTS WITH EPIDERMOLYSIS BULLOSA

Objective: To build a specialized nursing terminology for the care of children and adolescents with epidermolysis bullosa.Method Methodological, documentary study, built between the months of January to December 2021, in partnership with the ICNP® Center, in João Pessoa - Brazil. Data were analyzed using the PorOnto tool and the following theoretical methodological references: the International Classification for Nursing Practice 2019/2020, and human mapping following ISO/TR 12300:2016 and the term validation method.Results: The validation process with judges resulted in 480 terms for children and adolescents with epidermolysis bullosa, which were submitted to mapping, resulting in 207 constant ICNP® terms and 273 non-constant ICNP® terms.Conclusion: a higher number of non-constant terms is evidenced, which can be justified by the peculiarity of the disease and specific care with children and adolescents. The construction of terminology strengthens the development of diagnoses, outcomes, and nursing intervention

Development of terminological subset for people with covid-19 sequelae

Objectives: to develop a terminological subset of the International Classification for Nursing Practice (ICNP) for people with covid-19 sequelae.® Method: methodological study, which followed the steps: Identification of the relevant terms contained in the literature related to Covid-19 sequelae; Cross-mapping of the terms identified in the review with the terms of the classification; Construction of the statements of diagnoses, outcomes and nursing interventions and mapping of the constructed statements; Content validation of the statements by specialist nurses; and Structuring of the subset based on Roy’s Adaptation Model. For data analysis, the Content Validity Index was used, and the statements with Content Validity Index were validated ≥ 0.80. Content validation was performed by 28 specialist nurses. Results: 178 statements of nursing diagnoses/outcomes were constructed, with 450 nursing intervention statements. After content validation, a quantity of 127 diagnoses/outcomes and 148 nursing interventions were obtained, which comprised the terminological subset proposed in the study. Conclusion: the validated statements that make up the terminological subset with greater predominance were those outlines in the physiological adaptive mode. However, the repercussions on the spiritual, social and personal dimensions are also highlighted.info:eu-repo/semantics/publishedVersio

Medical Informatics

Information technology has been revolutionizing the everyday life of the common man, while medical science has been making rapid strides in understanding disease mechanisms, developing diagnostic techniques and effecting successful treatment regimen, even for those cases which would have been classified as a poor prognosis a decade earlier. The confluence of information technology and biomedicine has brought into its ambit additional dimensions of computerized databases for patient conditions, revolutionizing the way health care and patient information is recorded, processed, interpreted and utilized for improving the quality of life. This book consists of seven chapters dealing with the three primary issues of medical information acquisition from a patient's and health care professional's perspective, translational approaches from a researcher's point of view, and finally the application potential as required by the clinicians/physician. The book covers modern issues in Information Technology, Bioinformatics Methods and Clinical Applications. The chapters describe the basic process of acquisition of information in a health system, recent technological developments in biomedicine and the realistic evaluation of medical informatics

Characterizing the Information Needs of Rural Healthcare Practitioners with Language Agnostic Automated Text Analysis

Objectives – Previous research has characterized urban healthcare providers\u27 information needs, using various qualitative methods. However, little is known about the needs of rural primary care practitioners in Brazil. Communication exchanged during tele-consultations presents a unique data source for the study of these information needs. In this study, I characterize rural healthcare providers\u27 information needs expressed electronically, using automated methods. Methods – I applied automated methods to categorize messages obtained from the telehealth system from two regions in Brazil. A subset of these messages, annotated with top-level categories in the DeCS terminology (the regional equivalent of MeSH), was used to train text categorization models, which were then applied to a larger, unannotated data set. On account of their more granular nature, I focused on answers provided to the queries sent by rural healthcare providers. I studied these answers, as surrogates for the information needs they met. Message representations were generated using methods of distributional semantics, permitting the application of k-Nearest Neighbor classification for category assignment. The resulting category assignments were analyzed to determine differences across regions, and healthcare providers. Results – Analysis of the assigned categories revealed differences in information needs across regions, corresponding to known differences in the distributions of diseases and tele-consultant expertise across these regions. Furthermore, information needs of rural nurses were observed to be different from those documented in qualitative studies of their urban counterparts, and the distribution of expressed information needs categories differed across types of providers (e.g. nurses vs. physicians). Discussion – The automated analysis of large amounts of digitally-captured tele-consultation data suggests that rural healthcare providers\u27 information needs in Brazil are different than those of their urban counterparts in developed countries. The observed disparities in information needs correspond to known differences in the distribution of illness and expertise in these regions, supporting the applicability of my methods in this context. In addition, these methods have the potential to mediate near real-time monitoring of information needs, without imposing a direct burden upon healthcare providers. Potential applications include automated delivery of needed information at the point of care, needs-based deployment of tele-consultation resources and syndromic surveillance. Conclusion – I used automated text categorization methods to assess the information needs expressed at the point of care in rural Brazil. My findings reveal differences in information needs across regions, and across practitioner types, demonstrating the utility of these methods and data as a means to characterize information needs

Towards a system of concepts for Family Medicine. Multilingual indexing in General Practice/ Family Medicine in the era of Semantic Web

UNIVERSITY OF LIÈGE, BELGIUM Executive Summary Faculty of Medicine Département Universitaire de Médecine Générale. Unité de recherche Soins Primaires et Santé Doctor in biomedical sciences Towards a system of concepts for Family Medicine. Multilingual indexing in General Practice/ Family Medicine in the era of SemanticWeb by Dr. Marc JAMOULLE Introduction This thesis is about giving visibility to the often overlooked work of family physicians and consequently, is about grey literature in General Practice and Family Medicine (GP/FM). It often seems that conference organizers do not think of GP/FM as a knowledge-producing discipline that deserves active dissemination. A conference is organized, but not much is done with the knowledge shared at these meetings. In turn, the knowledge cannot be reused or reapplied. This these is also about indexing. To find knowledge back, indexing is mandatory. We must prepare tools that will automatically index the thousands of abstracts that family doctors produce each year in various languages. And finally this work is about semantics1. It is an introduction to health terminologies, ontologies, semantic data, and linked open data. All are expressions of the next step: Semantic Web for health care data. Concepts, units of thought expressed by terms, will be our target and must have the ability to be expressed in multiple languages. In turn, three areas of knowledge are at stake in this study: (i) Family Medicine as a pillar of primary health care, (ii) computational linguistics, and (iii) health information systems. Aim • To identify knowledge produced by General practitioners (GPs) by improving annotation of grey literature in Primary Health Care • To propose an experimental indexing system, acting as draft for a standardized table of content of GP/GM • To improve the searchability of repositories for grey literature in GP/GM. 1For specific terms, see the Glossary page 257 x Methods The first step aimed to design the taxonomy by identifying relevant concepts in a compiled corpus of GP/FM texts. We have studied the concepts identified in nearly two thousand communications of GPs during conferences. The relevant concepts belong to the fields that are focusing on GP/FM activities (e.g. teaching, ethics, management or environmental hazard issues). The second step was the development of an on-line, multilingual, terminological resource for each category of the resulting taxonomy, named Q-Codes. We have designed this terminology in the form of a lightweight ontology, accessible on-line for readers and ready for use by computers of the semantic web. It is also fit for the Linked Open Data universe. Results We propose 182 Q-Codes in an on-line multilingual database (10 languages) (www.hetop.eu/Q) acting each as a filter for Medline. Q-Codes are also available under the form of Unique Resource Identifiers (URIs) and are exportable in Web Ontology Language (OWL). The International Classification of Primary Care (ICPC) is linked to Q-Codes in order to form the Core Content Classification in General Practice/Family Medicine (3CGP). So far, 3CGP is in use by humans in pedagogy, in bibliographic studies, in indexing congresses, master theses and other forms of grey literature in GP/FM. Use by computers is experimented in automatic classifiers, annotators and natural language processing. Discussion To the best of our knowledge, this is the first attempt to expand the ICPC coding system with an extension for family physician contextual issues, thus covering non-clinical content of practice. It remains to be proven that our proposed terminology will help in dealing with more complex systems, such as MeSH, to support information storage and retrieval activities. However, this exercise is proposed as a first step in the creation of an ontology of GP/FM and as an opening to the complex world of Semantic Web technologies. Conclusion We expect that the creation of this terminological resource for indexing abstracts and for facilitating Medline searches for general practitioners, researchers and students in medicine will reduce loss of knowledge in the domain of GP/FM. In addition, through better indexing of the grey literature (congress abstracts, master’s and doctoral theses), we hope to enhance the accessibility of research results and give visibility to the invisible work of family physicians

Terminology Services: Standard Terminologies to Control Medical Vocabulary. “Words are Not What they Say but What they Mean”

Data entry is an obstacle for the usability of electronic health records (EHR) applications and the acceptance of physicians, who prefer to document using “free text”. Natural language is huge and very rich in details but at the same time is ambiguous; it has great dependence on context and uses jargon and acronyms. Healthcare Information Systems should capture clinical data in a structured and preferably coded format. This is crucial for data exchange between health information systems, epidemiological analysis, quality and research, clinical decision support systems, administrative functions, etc. In order to address this point, numerous terminological systems for the systematic recording of clinical data have been developed. These systems interrelate concepts of a particular domain and provide reference to related terms and possible definitions and codes. The purpose of terminology services consists of representing facts that happen in the real world through database management. This process is named Semantic Interoperability. It implies that different systems understand the information they are processing through the use of codes of clinical terminologies. Standard terminologies allow controlling medical vocabulary. But how do we do this? What do we need? Terminology services are a fundamental piece for health data management in health environment