Deductive Care Methodology: Describing and testing modes of care research.

OBJECTIVE: Define the modes of procedure of the Deductive Care Methodology (DCM) in the generation of knowledge about person's health care. METHODOLOGY: Design and test of the DCM modes based on three phases: mapping of the DCM, generation of models from this methodology and testing of the models through studies in a clinical context. RESULTS: The DCM presents five levels of abstraction with three modes broken down to 16 types. The modes are: Philosophical Mode to conceptualize and obtain generalities about reality, Mathematical Mode to operate with generalities, and Physical Mode to operationally verify, validating the results and the predictive capacity of the model. This MDC allows the creation of three models: Knowledge Model about Person Care, an ontology of care, Vulnerability Model about the person and Taxonomic Triangulation Model for knowledge management. All models generate products for computational knowledge management. In addition, the models are applied in teaching and generate research with more than a hundred participations in conferences and journals, of which five impact publications (from 2008 to 2022) classified in the categories of Nursing and Informatics are analysed. CONCLUSIONS: The DCM collects prior knowledge to work with certainties, evidence and applying inferences that do not depend on the number of cases or inductive designs. This research presents a formal structure of the DCM with an interdisciplinary orientation between Health Sciences and Computer Sciences.

Validation of the Health Index in the Postoperative Period: Use of the Nursing Outcome Classification to Determine the Health Level.

BACKGROUND: The postoperative period is the recovery time after surgery and is defined as an individual process whose purpose is to return the person to the state of normality and integrity that they had prior to surgery. AIM: Demonstrate the modification of the level of health of people in the early postoperative period through the development and validation of the Health Index Instrument, which is built from the Nursing Outcomes Classification (NOC) standardized language. DESIGN: The design used a mixed method, which involved a first phase of instrument development and a second phase of instrument validation. METHODS: The methods was based on focus group techniques with text analysis techniques, internal validation with a group of care language experts, external validation with a group of clinical nursing experts and a clinical validation with quantitative and qualitative analysis. A panel of experts in Language of Care evaluated the (NOC) labels and their correlation with the 11 Health Variables to construct the instrument. The instrument developed was subjected to external validation with a panel of clinical nurse experts in post-anesthesia care. The clinical validation included a cross-sectional descriptive study in a postoperative unit. The final sample of the cross-sectional descriptive study was 139 cases. RESULTS: Of the 89 NOCs proposed in the preliminary construction phase of the instrument, 36 passed through the first round. Of those 36 NOCs, 25 passed through to the second round with a review performance and 11 directly as approved. The total number of approved NOCs were 4. The results of the research show that there are changes in the global score of the health level and in each health variable. It is observed that there was a significant increase in the scores of the health variables at admission and discharge (p < 0.001). CONCLUSIONS: The results of the data analysis show that six groups present a similar pattern of evolution of the health variables. A correlation was found between the time of stay in the unit with the scores obtained in the health variables, the physical functioning, comfort status and the presence of symptoms being particularly significant.

Competencies in the Robotics of Care for Nursing Robotics: A Scoping Review.

In parallel with the development and design of different technological advances, competencies in nursing have advanced. With the development of robotics, it is expected that nursing robotic competencies will also increase. The aim of this study is to review the competencies in nursing robotics. A review was conducted between January 2017 and December 2023. The search strategy was carried out in the MEDLINE database (through PubMed). This review explores the developmental competencies in nursing robotics and informatics. The data extraction in this review included an intentional search for competencies and learning outcomes in engineering and robotic programs. A total of 340 competencies and program outcomes were reviewed. The synthesis of the data established a total of 17 developmental competencies in nursing robotics based on this knowledge extraction, which we organized into five categories: assessment, diagnosis, planning, intervention (implementation) and evaluation. This review suggests that nursing robotic competencies for the development of care robotics are still scarce, and there is an opportunity for the development of competencies and the definition of new roles in the area of nursing informatics in order to adapt to the new health care demands of society.

Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic.

The COVID-19 crisis accelerated the adoption of technologies. Technological advancement is also expected in robotics applied to any sector, including in healthcare. The aim is to assess the professional perception of care robotics facing COVID-19. This study aimed to (1) select a tool for assessing different aspects of healthcare, (2) analyse the professional perception about the development, usefulness and helpfulness of technologies and robotics in the field of healthcare and (3) evaluate the correlation between the perceived helpfulness of care robotics and the selected tool. We implement five validated clinical tests which integrate 80 items about a person and their clinical situation. From the sample of 46 professionals, 95.65% affirmed that technology was moderately to completely useful for professional performance in the context of the pandemic, lowering to 67.39% when asked only about robotics; 93.48% stated that the inclusion of robotics in at least one health area affected by COVID-19 would have helped them. Finally, the variables extracted from clinical tests corresponded to the most relevant health areas as identified by the professionals. This research shows the potential of care robotics oriented towards healthcare from a care paradigm.

Care Recommendations for the Chronic Risk of COVID-19: Nursing Intervention for Behaviour Changes.

The COVID-19 pandemic is a challenge for health systems. The absence of prior evidence makes it difficult to disseminate consensual care recommendations. However, lifestyle adaptation is key to controlling the pandemic. In light of this, nursing has its own model and language that allow these recommendations to be combined from global and person-centred perspectives. The purpose of the study is to design a population-oriented care recommendation guide for COVID-19. The methodology uses a group of experts who provide classified recommendations according to Gordon's functional patterns, after which a technical team unifies them and returns them for validation through the content validity index (CVI). The experts send 1178 records representing 624 recommendations, which are unified into 258. In total, 246 recommendations (95.35%) are validated, 170 (65.89%) obtain high validation with CVI > 0.80, and 12 (4.65%) are not validated by CVI < 0.50. The mean CVI per pattern is 0.84 (0.70−0.93). These recommendations provide a general framework from a nursing care perspective. Each professional can use this guide to adapt the recommendations to each individual or community and thus measure the health impact. In the future, this guideline could be updated as more evidence becomes available.

Diagnostics of care about environment: A systematic review through nursing taxonomies.

AIM: To analyse the representation of the environment in nursing diagnostic taxonomies. DESIGN: Systematic scoping review through nursing taxonomies. METHODS: The first phase identified nursing diagnostic taxonomies by systematic review. The diagnoses were associated with the environment by analysis of terms into the diagnosis label and definition. Data analysis was quantitative with frequency measurements. The second phase mapped the identified diagnoses to establish equivalences using analysis by terms in the diagnostic labels. Finally, the findings obtained in the first phase were compared with the OMAHA System. RESULTS: The bibliographic search identified 112 studies and 16 standardized languages for diagnoses. NANDA-I and ICNP were the most frequent taxonomies; ATIC, the most recent; and OMAHA, the oldest. 2,062 diagnoses from four diagnostic taxonomies were analysed, and 361 associations corresponding to 352 environmental diagnoses were identified. All taxonomies included the environment but with different weight relative to the interpersonal and geopolitical category.

Nursing Diagnoses for Coronavirus Disease, COVID-19: Identification by Taxonomic Triangulation.

PURPOSE: To identify the nursing care problems related to the clinical process of disease by COVID-19. METHOD: The study applied the taxonomic triangulation technique on a clinical management guide to coronavirus disease, COVID-19, from the World Health Organization. The technique is divided into the phases: extraction of knowledge in natural language about assessment, planning and intervention, translation into standard language NOC and NIC, linking to NANDA-I diagnoses, triangulation looking for diagnostic matches in the three sets, and, finally, validation by a panel of experts from a hospital and a university. FINDINGS: The extraction identified 159 terms in natural language that were translated into 173 variables: 34 NOC for assessment, 19 NOC for planning, and 120 NIC for intervention. The relationships to NANDA-I diagnoses recorded 2,182 links and the triangulation returned 109 diagnoses, 54 of them for a critical situation. The panel of experts unanimously validated the 29 diagnoses with the highest number of links. CONCLUSION: Coronavirus disease, COVID-19, involves a complex situation with multiple associated care problems that can be identified using the taxonomic triangulation technique. IMPLICATIONS FOR NURSING PRACTICE: The links between taxonomies and the taxonomic triangulation technique are an important tool for generating knowledge. The results of this study may guide the diagnosis and treatment of coronavirus disease, COVID-19, as well as similar processes that occur with acute respiratory distress syndrome.

Validation of an evaluation instrument for responders in tactical casualty care simulations.

OBJECTIVE: to construct and validate a tool for the evaluation of responders in tactical casualty care simulations. METHOD: three rubrics for the application of a tourniquet, an emergency bandage and haemostatic agents recommended by the Hartford Consensus were developed and validated. Validity and reliability were studied. Validation was performed by 4 experts in the field and 36 nursing participants who were selected through convenience sampling. Three rubrics with 8 items were evaluated (except for the application of an emergency bandage, for which 7 items were evaluated). Each simulation was evaluated by 3 experts. RESULTS: an excellent score was obtained for the correlation index for the 3 simulations and 2 levels that were evaluated (competent and expert). The mean score for the application of a tourniquet was 0.897, the mean score for the application of an emergency bandage was 0.982, and the mean score for the application of topical haemostats was 0.805. CONCLUSION: this instrument for the evaluation of nurses in tactical casualty care simulations is considered useful, valid and reliable for training in a prehospital setting for both professionals who lack experience in tactical casualty care and those who are considered to be experts.

Taxonomic Triangulation of Care in Healthcare Protocols: Mapping of Diagnostic Knowledge From Standardized Language.

Taxonomic triangulation is a data mining technique for the management of care knowledge. This technique uses standardized languages, such as North American Nursing Diagnosis Association International, Nursing Outcomes Classification, and Nursing Interventions Classification, as well as logic. Its purpose is to find patterns in the data and identify care diagnoses. Triangulation can be applied to databases (clinical records) or to bibliographic sources (eg, protocols). The objective of this study is to identify the care diagnoses implicit in the nursing care protocols of the Community of Madrid. The method followed has three phases: knowledge extraction for mapping of variables, linking to diagnoses, and triangulation with analysis. The study analyzes six protocols, and 344 variables (167 assessment, 29 planning, and 148 intervention) and 6118 links have been extracted. Triangulation identified 165 NANDA diagnoses (68.48%), and only 25 labels were not revealed through this process. As a limitation, the results depend on the knowledge presented in protocols and change with language editions. Some labels included in the sample are recent and are not included in the links with nursing outcomes classification and nursing interventions classification. In conclusion, taxonomic triangulation makes it possible to manage knowledge, discover data patterns, and represent care situations.

Validation of an evaluation instrument for responders in tactical casualty care simulations / Validação de um instrumento de avaliação para a prática de cuidados de saúde estratégicos / Validación de un instrumento de evaluación para la práctica de la atención sanitaria táctica

Objective: to construct and validate a tool for the evaluation of responders in tactical casualty care simulations. Method: three rubrics for the application of a tourniquet, an emergency bandage and haemostatic agents recommended by the Hartford Consensus were developed and validated. Validity and reliability were studied. Validation was performed by 4 experts in the field and 36 nursing participants who were selected through convenience sampling. Three rubrics with 8 items were evaluated (except for the application of an emergency bandage, for which 7 items were evaluated). Each simulation was evaluated by 3 experts. Results: an excellent score was obtained for the correlation index for the 3 simulations and 2 levels that were evaluated (competent and expert). The mean score for the application of a tourniquet was 0.897, the mean score for the application of an emergency bandage was 0.982, and the mean score for the application of topical haemostats was 0.805. Conclusion: this instrument for the evaluation of nurses in tactical casualty care simulations is considered useful, valid and reliable for training in a prehospital setting for both professionals who lack experience in tactical casualty care and those who are considered to be experts.

Objetivo: construir e validar um instrumento de avaliação da prática, por meio da simulação, nos cuidados de saúde estratégicos. Método: três instrumentos para práticas de avaliação de aplicação do torniquete, bandagem de emergência e agente hemostático recomendados pelo Consenso de Hartford foram desenvolvidos e validados. A validade e a confiabilidade foram estudadas. A validação foi realizada por quatro especialistas da área e trinta e seis enfermeiros participantes selecionados por amostragem por conveniência. Três instrumentos de avaliação com 8 itens foram avaliados (com exceção da bandagem de emergência, que tinha 7 itens para avaliar). Cada prática foi avaliada por três especialistas. Resultados: uma pontuação excelente foi obtida no cálculo do índice de correlação para as três práticas e nos dois níveis avaliados (competente e especialista). A pontuação média para a aplicação do torniquete foi de 0,897, para o curativo de emergência foi de 0,982 e para a aplicação de agentes hemostáticos tópicos foi de 0,805. Conclusão: este instrumento de avaliação da prática por meio de simulação nos cuidados de saúde estratégicos é considerado útil, válido e confiável para o treinamento no contexto pré-hospitalar tanto dos profissionais que não possuem experiência nos cuidados estratégicos quanto nos considerados peritos.

Objetivo: construir y validar un instrumento de evaluación de la práctica, mediante simulación, en la atención sanitaria táctica. Método: se construyeron y validaron tres rúbricas de las prácticas de aplicación del torniquete, vendaje de emergencia y agente hemostático recomendadas por el Consenso Hartford. Se estudió la validez y fiabilidad. La validación se realizó por cuatro expertos en la materia y treinta y seis participantes enfermeros que fueron la muestra de conveniencia. Se evaluaron tres rúbricas con 8 ítems (excepto para el vendaje de emergencia que fueron 7 ítems a evaluar). Cada práctica fue evaluada por tres expertos. Resultados: se ha obtenido una excelente puntuación en el cálculo del índice de correlación para las tres prácticas y en los dos niveles evaluados (competente y experto). La puntuación media para la rúbrica de aplicación del torniquete fue de 0.897, la del vendaje de emergencia 0.982 y para la aplicación de hemostáticos tópicos 0.805. Conclusión: este instrumento de evaluación de la práctica mediante simulación en la atención sanitaria se considera útil, válido y fiable para la formación en el entorno prehospitalario tanto de profesionales que carecen de experiencia en atención táctica como de aquellos considerados como expertos.

Using M-learning on nursing courses to improve learning.

Modern handheld devices and wireless communications foster new kinds of communication and interaction that can define new approaches to teaching and learning. Mobile learning (m-learning) seeks to use them extensively, exactly in the same way in which e-learning uses personal computers and wired communication technologies. In this new mobile environment, new applications and educational models need to be created and tested to confirm (or reject) their validity and usefulness. In this article, we present a mobile tool aimed at self-assessment, which allows students to test their knowledge at any place and at any time. The degree to which the students' achievement improved is also evaluated, and a survey on the students' opinion of the new tool was also conducted. An experimental group of 20- to 21-year-old nursing students was chosen to test the tool. Results show that this kind of tool improves students' achievement and does not make necessary to introduce substantial changes in current teaching activities and methodology.

Using m-learning on nursing courses to improve learning.

Modern handheld devices and wireless communications foster new kinds of communication and interaction that can define new approaches to teaching and learning. Mobile learning (m-learning) seeks to use them extensively, exactly in the same way in which e-learning uses personal computers and wired communication technologies. In this new mobile environment, new applications and educational models need to be created and tested to confirm (or reject) their validity and usefulness. In this article, we present a mobile tool aimed at self-assessment, which allows students to test their knowledge at any place and at any time. The degree to which the students' achievement improved is also evaluated, and a survey on the students' opinion of the new tool was also conducted. An experimental group of 20- to 21-year-old nursing students was chosen to test the tool. Results show that this kind of tool improves students' achievement and does not make necessary to introduce substantial changes in current teaching activities and methodology.