Contributions of representing the elements of nursing practice in the ISO 18.104:2023 standard: a theoretical study.

OBJECTIVE: To reflect on the contributions of representing nursing practice elements in the ISO 18.104:2023 standard. METHOD: This is a theoretical study with standard analysis. Categorical structures were described to represent nursing practice in terminological systems and contributions identified in the parts of the version were analyzed. RESULTS: There is innovation in the inclusion of nurse sensitive outcomes, nursing action, nursing diagnosis explanation as an indicator of nursing service demand and complexity of care, representation of concepts through mental maps and suggestion of use of restriction models for nursing actions. It describes that the Nursing Process is constituted by nursing diagnosis, nursing action and nurse sensitive outcomes. FINAL CONSIDERATIONS: Indicating a nursing diagnosis as an indicator will bring benefits for knowledge production and decision-making. Although care outcomes are not exclusive responses to nursing action, the modifiable attributes of a nursing diagnosis generate knowledge about clinical practice, nursing action effectiveness and subjects of care' health state. There is coherence in understanding the Nursing Process concept evolution.

Clinical validation of the terminological subset for people with chronic kidney disease undergoing conservative treatment.

OBJECTIVE: To clinically validate a terminological subset of the International Classification for Nursing Practice (ICNP®) to care for people with chronic kidney disease undergoing conservative treatment. METHOD: Prospective study of clinical validation assessment of 117 nursing diagnoses/outcomes statements and 199 nursing intervention statements. It was operationalized through the following steps: implementation of the Nursing Process in an outpatient clinic in Southeast Brazil; preparation of case studies; analysis of agreement between specialist nurses. The Kappa. Kruskal-Wallis coefficient of agreement and intraclass correlation coefficient (ICC) were used. RESULTS: The sample consisted of 50 people with chronic kidney disease. Diagnoses/outcomes and interventions were evaluated with almost perfect/perfect agreement and excellent ICC. The Kruskal-Wallis test showed that there was no significant difference between the assessments. The study allowed the clinical validation of a subset with 110 nursing diagnoses/outcomes and 195 nursing interventions. CONCLUSION: Care for people with chronic kidney disease undergoing conservative treatment based on the proposed subset has become applicable to clinical practice.

Design and implementation of an automatic nursing assessment system based on CDSS technology.

BACKGROUND: Various quantitative and quality assessment tools are currently used in nursing to evaluate a patient's physiological, psychological, and socioeconomic status. The results play important roles in evaluating the efficiency of healthcare, improving the treatment plans, and lowing relevant clinical risks. However, the manual process of the assessment imposes a substantial burden and can lead to errors in digitalization. To fill these gaps, we proposed an automatic nursing assessment system based on clinical decision support system (CDSS). The framework underlying the CDSS included experts, evaluation criteria, and voting roles for selecting electronic assessment sheets over paper ones. METHODS: We developed the framework based on an expert voting flow to choose electronic assessment sheets. The CDSS was constructed based on a nursing process workflow model. A multilayer architecture with independent modules was used. The performance of the proposed system was evaluated by comparing the adverse events' incidence and the average time for regular daily assessment before and after the implementation. RESULTS: After implementation of the system, the adverse nursing events' incidence decreased significantly from 0.43 % to 0.37 % in the first year and further to 0.27 % in the second year (p-value: 0.04). Meanwhile, the median time for regular daily assessments further decreased from 63 s to 51 s. CONCLUSIONS: The automatic assessment system helps to reduce nurses' workload and the incidence of adverse nursing events.

Diagnostic concordance among nursing clinical decision support system users: a pilot study.

OBJECTIVE: To analyze the nursing diagnostic concordance among users of a clinical decision support system (CDSS), The Electronic Documentation System of the Nursing Process of the University of São Paulo (PROCEnf-USP®), structured according to the Nanda International, Nursing Intervention Classification and Nursing Outcome Classification (NNN) Taxonomy. MATERIALS AND METHODS: This pilot, exploratory-descriptive study was conducted from September 2017 to January 2018. Participants were nurses, nurse residents, and nursing undergraduates. Two previously validated written clinical case studies provided participants with comprehensive initial assessment clinical data to be registered in PROCEnf-USP®. After having registered the clinical data in PROCEnf-USP®, participants could either select diagnostic hypotheses offered by the system or add diagnoses not suggested by the system. A list of nursing diagnoses documented by the participants was extracted from the system. The concordance was analyzed by Light's Kappa (K). RESULTS: The research study included 37 participants, which were 14 nurses, 10 nurse residents, and 13 nursing undergraduates. Of the 43 documented nursing diagnoses, there was poor concordance (K = 0.224) for the diagnosis "Ineffective airway clearance" (00031), moderate (K = 0.591) for "Chronic pain" (00133), and elevated (K = 0.655) for "Risk for unstable blood glucose level" (00179). The other nursing diagnoses had poor or no concordance. DISCUSSION: Clinical reasoning skills are essential for the meaningful use of the CDSS. CONCLUSIONS: There was concordance for only 3 nursing diagnoses related to biological needs. The low level of concordance might be related to the clinical judgment skills of the participants, the written cases, and the sample size.

Clinical decision-making and the nursing process in digital health systems: An integrated systematic review.

AIMS: To identify how the nursing process (assessment, planning, intervention and outcome evaluation) has been incorporated into digital health systems (electronic medical records, electronic care plans and clinical decision support systems) to gain an understanding of known benefits and challenges posed to nurses' decision-making processes. BACKGROUND: Nursing terminologies, including the International Classification for Nursing Practice (ICNP), and Nursing Minimum Data Set's (NMDS), have been developed to improve standardised language integration of components of nursing care into digital systems. However, there is limited evidence regarding whether the complete nursing process is effectively being incorporated into digital health systems. METHODS: An integrative systematic review following PRISMA guidelines. A search strategy was applied to extract articles from included databases: CINAHL, MEDLINE, SCOPUS and Web of Science Core Collection. Articles were limited to English language and published January 2007-March 2022 and assessed using a pre-determined eligibility criteria. Quality assessment and a narrative synthesis were conducted. RESULTS: A total of 3321 articles were identified, and 27 studies included. There were (n = 10) qualitative, (n = 4) quantitative non-randomised controlled trials, (n = 3) quantitative descriptive studies and (n = 10) mixed methods. Nurse assessment and planning components were the most comprehensive phases incorporated into digital health systems, and interventions and outcome evaluation were scarcely reported. CONCLUSIONS: Inadequate capture of nursing work is a problem unresolved by digital health systems. This omission may be hindering nurse clinical decision-making for patient care and limiting the visibility of the nursing role in health care interventions and the associated impact on patient outcomes. RELEVANCE TO CLINICAL PRACTICE: Further research is needed on how digital systems can support nurses to apply the full nursing process and to further evaluate patient outcomes. Digital systems can support health-service level evaluation through capturing missed nursing care and the consequences on patients utilising nurse-sensitive-outcomes; however, this is not yet being realised.

Utilizing standardized nursing terminologies in implementing an AI-powered fall-prevention tool to improve patient outcomes: a multihospital study.

OBJECTIVES: Standardized nursing terminologies (SNTs) are necessary to ensure consistent knowledge expression and compare the effectiveness of nursing practice across settings. This study investigated whether SNTs can support semantic interoperability and outcoming tracking over time by implementing an AI-powered CDS tool for fall prevention across multiple EMR systems. MATERIALS AND METHODS: The study involved 3 tertiary academic hospitals and 1 public hospital with different EMR systems and nursing terms, and employed an AI-powered CDS tool that determines the fall risk within the next hour (prediction model) and recommends tailored care plans (CDS functions; represented by SNTs). The prediction model was mapped to local data elements and optimized using local data sets. The local nursing statements in CDS functions were mapped using an ICNP-based inpatient fall-prevention catalog. Four implementation models were compared, and patient outcomes and nursing activities were observed longitudinally at one site. RESULTS: The postimplementation approach was practical for disseminating the AI-powered CDS tool for nursing. The 4 hospitals successfully implemented prediction models with little performance variation; the AUROCs were 0.8051-0.9581. The nursing process data contributed markedly to fall-risk predictions. The local nursing statements on preventing falls covered 48.0%-86.7% of statements. There was no significant longitudinal decrease in the fall rate (P = .160, 95% CI = -1.21 to 0.21 per 1000 hospital days), but rates of interventions provided by nurses were notably increased. CONCLUSION: SNTs contributed to achieving semantic interoperability among multiple EMR systems to disseminate AI-powered CDS tools and automatically track nursing and patient outcomes.

Child vaccination in animated infographic: technology for permanent education about the nursing process.

OBJECTIVE: To develop and validate an animated infographic about the nursing process in childhood vaccination. METHOD: Methodological study for the development and validation of educational technology, an animated infographic, on childhood vaccination. First, contents from the Ministry of Health that should compose the infographic were selected. Then, a script was prepared and a storyboard used to guide the production of the animated infographic. Once finalized, the technology went through the content and appearance validation process with nursing experts in the study area. RESULTS: Sixty-nine screens of storyboard were done and the infographic lasted five minutes and 52 seconds. Forty-five nurses were selected and, of these, 21 agreed to participate in the study. The infographic was evaluated according to its objectives, structure, presentation, and relevance, resulting in an overall CVI of 97%. CONCLUSION: The animated infographic produced was validated by experts and, once adapted following the judges' suggestions, it became a valid educational tool to be used by students and nursing professionals.

Holistic Digitalization of the Nursing Internship Process in the Federal State of Salzburg with Strong User Involvement.

BACKGROUND: In the federal state of Salzburg, the harmonization of nursing internship took place from 2014-2019 as a joint effort of educational and internship providers. Currently the handling of these mostly paper pencil-based documents involves a manual process through different institutions and people. OBJECTIVES: The project provides the basis for the implementation of the "internship platform". In the future, this is to be the digital, state-of-the-art one-stop shop for the state-wide practical nursing training (in the form of immanent internships) at all training levels. METHODS: The process is influenced by modern requirements engineering techniques: As-is analysis of the internship process and related documents, contextual inquires in different internship providers, iterative focus group discussions focusing first on user stories, then on interface designs, and final user testing. RESULTS: Standardized workflow and authorization concept for all user groups, mandatory requirements for the software system, tested user interfaces, tender documents for EU-wide tender procedure. CONCLUSION: Positive feedback from all involved user groups on project goal, results and involvement in the process.

Electronic Health Records as Information Source in Assessment of the Effectiveness of Delivered Care - A Pilot Study.

Effectiveness is a key element of high quality health services. The aim of this pilot study was to explore the potential of electronic health records (EHR) as an information source for assessing the effectiveness of nursing care by investigating the appearance of nursing processes in the documentation of care. Deductive and inductive content analysis were used in a manual annotation of ten patients' EHRs. The analysis resulted in the identification of 229 documented nursing processes. The results indicate that EHRs can be used in decision support systems for assessing effectiveness of nursing care, however, future work is needed to verify these findings in a larger data set and extend to other dimensions related to care quality.

Guide for Systematization of Care and Nursing Process: educational technology for professional practice.

OBJECTIVE: to elaborate and validate the content of a digital guide educational technology on Systematization of Nursing Care and Nursing Process. METHODS: applied research of technological development, developed between 2020 and 2021, in three steps. First, a scoping review was carried out to elaborate the content. In the second step, the content was validated with 46 nurse judges selected for convenience. The minimum criterion of agreement among judges was 80%. The third step consisted of content organization and layout. RESULTS: the guide content was elaborated from the Federal Nursing Council legislation, scientific articles and textbooks. Content was considered appropriate, relevant and organized by judges. FINAL CONSIDERATIONS: the digital guide is an alternative that can contribute to the NP execution and implementation, supporting the planning and implementation of actions for quality of care.

Implementation of transoperative and immediate postoperative nursing diagnoses in the computerized management system.

OBJECTIVE: To implement, on health management software, electronic records of the perioperative nursing process and the stages of transoperative and immediate postoperative nursing diagnoses, based on the NANDA International taxonomy. METHOD: Experience report conducted from the completion of the Plan-Do-Study-Act cycle, which allows improvement planning with a clearer purpose, directing each stage. This study was carried out in a hospital complex in southern Brazil, using the software Tasy/Philips Healthcare. RESULTS: For the inclusion of nursing diagnoses, three cycles were completed, predictions of expected results were established, and tasks were assigned, defining "who, what, when, and where". The structured model covered seven possibilities of aspects, 92 symptoms and signs to be evaluated, and 15 nursing diagnoses to be used in the transoperative and immediate postoperative periods. CONCLUSION: The study allowed implementing electronic records of the perioperative nursing process on health management software, including transoperative and immediate postoperative nursing diagnoses, as well as nursing care.

Nursing process, derived from the clinical care classification system components, as an earlier indicator of nursing care during a pandemic.

BACKGROUND: During COVID pandemic response, an early signal was desired beyond typical financial classifications or order sets. The foundational work of Virginia K Saba informed the essential, symbiotic relationship of nursing practice and resource utilization by means of the Clinical Care Classification System [CCC]. Scholars have confirmed the use of the CCC as the structure for data modeling, focusing on the concept of nursing cost [1]. Therefore, the purpose of this retrospective, descriptive study was to determine if analysis of CCC Care Component codes could provide a high granularity signal of early shifts in patient demographics and in nursing care interventions and to, then, determine if nursing care intervention shifts indicated changes in resource utilization. METHODS: For a large multi-facility healthcare system in the USA, patients cared for in an acute care setting/hospital-based care unit were the population of interest. Through prior and ongoing efforts of ensuring Evidenced-Based Clinical Documentation [EBCD], a data model was utilized to determine changes in the patient's nursing diagnoses, nursing interventions, during care episodes, for patients with acute symptoms or diagnosed/confirmed COVID. RESULTS: The structure of CCC revealed 22 billion individual instances of the CCC Care Component/Concept codes for the data sets for 2017 and during COVID, a considerably large data set suitable for pre- and post- event analyses. The component codes were included in a string data set for concept/diagnosis/intervention. DISCUSSION: By our analysis, these CCC Information Model elements determined a clear ability to detect increasing demands of nursing and resources, prior to other data models, including supply chain data, provider documented diagnostic codes, or laboratory test codes. Therefore, we conclude CCC System structure and Nursing Intervention codes allow for earlier detection of pandemic care nursing resource demands, despite the perceived challenges of "timeliness of documentation" attributed to more constrained timelines of data models of nursing care.

Application of the Nursing Process Using Moulage as a Problem-Based Approach to Teaching Dermatologic Content.

ABSTRACT: Teaching dermatologic conditions can be challenging in lecture-style format. A class activity was implemented in a prelicensure nursing course to enhance learning of dermatologic conditions while emphasizing the nursing process, evidence-based treatments, transmission-based precautions, and teamwork. Students worked in teams to identify moulage-based dermatologic conditions and follow the nursing process to develop a plan of care. Students presented their findings to faculty and peers. Positive student feedback on the activity included enhanced teamwork, application of the nursing process, visual emphasis on content, and understanding of holistic care. This activity is an innovative alternative to traditional lecture format.

Registered nurses' reasoning process during care planning and documentation in the electronic health records: A concurrent think-aloud study.

AIMS AND OBJECTIVES: To explore the clinical reasoning process of experienced registered nurses during care planning and documentation of nursing in the electronic health records of residents in long-term dementia care. BACKGROUND: Clinical reasoning is an essential element in nursing practice. Registered nurses' clinical reasoning process during the documentation of nursing care in electronic health records has received little attention in nursing literature. Further research is needed to understand registered nurses' clinical reasoning, especially for care planning and documentation of dementia care due to its complexity and a large amount of information collected. DESIGN: A qualitative explorative design was used with a concurrent think-aloud technique. METHODS: The transcribed verbalisations were analysed using protocol analysis with referring phrase, assertional and script analyses. Data were collected over ten months in 2019-2020 from 12 registered nurses in three nursing homes offering special dementia care. The COREQ checklist for qualitative studies was used. RESULTS: The nurses primarily focused on assessments and interventions during documentation. Most registered nurses used their experience and heuristics when reasoning about the residents' current health and well-being. They also used logical thinking or followed local practice rules when reasoning about planned or implemented interventions. CONCLUSION: The registered nurses moved back and forth among all the elements in the nursing process. They used a variety of clinical reasoning attributes during care planning and nursing documentation. The most used clinical reasoning attributes were information processing, cognition and inference. The most focused information was planned and implemented interventions. RELEVANCE TO CLINICAL PRACTICE: Knowledge of the clinical reasoning process of registered nurses during care planning and documentation should be used in developing electronic health record systems that support the workflow of registered nurses and enhance their ability to disseminate relevant information.

The impact of a web-based mind map learning technique on students' nursing knowledge of the nursing process.

OBJECTIVE: This research aims to investigate the effects of web-based mind map learning techniques in the nursing process on students' ability to investigate the nursing diagnosis, descriptive characteristics, and the etiological and risk factors. DESIGN: In this experimental study, 91 nursing students enrolled in a state university in a city in Turkey in the 2020-2021 academic year were included. METHODS: Data were collected using a test for determining the level of knowledge about the nursing diagnosis and the factors affecting the diagnosis, case sample, and care plan. In the teaching of the nursing process, the experimental group students (n = 42) experienced the web-based mind map learning technique, while the control group students (n = 49) experienced the lecture and question-answer teaching methods. FINDINGS: The mean scores of the experimental group in terms of reaching the nursing diagnosis, descriptive characteristics, and the etiological and risk factors were significantly higher than the control group (p < 0.05). The findings showed that the experimental group scored significantly higher than the control group in making accurate diagnoses (p < 0.05). CONCLUSIONS: The web-based mind map learning technique used in teaching the nursing process favorably affected the students' ability to determine the nursing diagnosis, descriptive characteristics, and etiological and risk factors. The findings suggest that the web-based mind map learning technique should be used in teaching the nursing process. IMPLICATIONS FOR NURSING PRACTICE: Active learning in nursing process teaching should be promoted using different teaching techniques. Teaching the nursing process with different teaching techniques has the potential to to increase the knowledge and skills of students and thus improve the quality of nursing care.

The effect of applying the nursing process based on the Theory of Goal Attainment on activities of daily living and quality of life in persons with multiple sclerosis during COVID-19 pandemic: a clinical trial.

BACKGROUND: The chronic nature of multiple sclerosis (MS) affects patient's activities of daily living (ADL) and quality of life (QOL). Nursing interventions based on patients' active participation in goal-setting can be beneficial in improving ADL and QOL. AIMS: This study aimed to determine the effect of applying the nursing process based on King's Theory of Goal Attainment (TGA) on ADL and QOL of persons with multiple sclerosis (PwMS) during the COVID-19 pandemic. METHODS: In this clinical trial, 70 patients referred to the MS Society of Hamadan, Iran, were recruited using the convenience sampling method and randomly assigned into 2 groups. A 4-stage TGA was developed and implemented for the intervention group for a month. Data were gathered by ADL, instrumental ADL (IADL), and QOL questionnaires, and Goal of Attainment Scale (GAS) before and 2 months after the intervention. RESULTS: Intervention group achieved a higher number of prioritized goals (p < 0.001) and reported higher QOL (P < 0.001) and instrumental ADL (IADL; P = 0.002) than the control group. CONCLUSIONS: Given the results, TGA could effectively promote mutual goal attainment, QOL, and IADL for PwMS during the COVID-19 pandemic. TRIAL REGISTRATION: ClinicalTriasl.gov Identifier: IRCT20201210049668N1.

Case study: School-based care for a girl and her primary caregiver experiencing difficulties in managing diabetes treatment.

PURPOSE: To describe the use of the nursing process and standardized nursing language by the school nurse to facilitate the monitoring of the therapeutic regimen of a girl with type 1 diabetes mellitus and her caregiver. METHODS: Data were collected through clinical reports, observation, and physical examination of the girl and through interviews with her and her caregiver in accordance with Virginia Henderson's conceptual model. FINDINGS: Clinical reasoning informed the selection of NANDA-I nursing diagnoses. NIC nursing interventions were selected taking into consideration the available scientific evidence related to the care of children with type 1 diabetes mellitus. CONCLUSIONS: The school nurse is a key figure in improving and supporting the monitoring of the prescribed therapeutic regimen for children with chronic disease. IMPLICATIONS FOR NURSING PRACTICE: This case demonstrates the importance of adopting a conceptual model to guide the nursing process, as well as showing that standardized nursing languages are suitable for school nursing practice.

[Complexity of outpatient intensive care for ventilated people: Cross-mapping into the standardised NNN-taxonomy]. / Komplexität außerstationärer Intensivpflege beatmeter Menschen.

Complexity of outpatient intensive care for ventilated people: Cross-mapping into the standardised NNN-taxonomy Abstract. Background: In Germany, free text is the preferred method for recording the nursing process in outpatient intensive care, although classification systems could enable a more precise description. Research question: How is nursing care for people with outpatient ventilation represented by the NNN-taxonomy and what are the recommendations for nursing practice? Methods: A qualitative "multiple case" design was applied. Using deductive content analysis (data sources: nursing documentation and secondary analysis of interviews with affected persons), several cases, both individually and across all cases were linked to the NNN-taxonomy (cross-mapping). Results: In total, the nursing documentation of 16 invasively ventilated persons with a mean age of 58.4 years (SD = 16.3) was analysed. Seven persons additionally contributed interview data. Documentation was mainly based on the "Strukturmodell" (14/16) with a moderate to high accuracy (D-Catch Score: 16.6; SD = 4.1). Cross-mapping resulted in 4016 codes: 618 nursing diagnoses, 1956 interventions and 1442 outcomes. Documentation was strongly measure-oriented, not very person-centred and with a lack of differentiation between diagnosis and intervention. Conclusions: To improve nursing practice, a person-centred attitude and the ability to differentiate between nursing diagnoses, interventions and outcomes should be promoted.

Design Thinking Like a Nurse: A Professional Practice Model for Nursing Innovation.

The COVID-19 pandemic made creative problem-solving, a skill that nurses have long possessed, more observable and valued. This article presents a new professional practice model for nursing innovation that facilitates practice improvements and leverages skills, strengths, and values that are integral to nursing. This model integrates the nursing process with Design Thinking and Theory U change management processes. A clinical case study illustrates the model's components in a pediatric oncology ambulatory center. Using this practice model, nurse leaders can leverage "design thinking like a nurse," to enhance innovation in health-care settings.

Nursing process for elderly women susceptible to falls from the perspective of the Pender's Model.

OBJECTIVES: to describe the strategy of applying the nursing process guided by Pender's Health Promotion Model to elderly women susceptible to falls with a view to promoting a self-efficacy behavior for fall prevention. METHODS: application of the nursing process to eleven elderly women who had already experienced falls, living in a neighborhood in the outskirts of Belem, state of Pará, which involved interviews to obtain their nursing history and group meetings using the focus group technique to develop the other phases of the nursing process: nursing diagnosis, nursing interventions, and nursing assessment. RESULTS: despite the risk factors for falls, the intervention model adopted in this study allowed elderly women to enhance their self-efficacy. FINAL CONSIDERATIONS: the model proved to be suitable for the participation of elderly women in actions to build fall prevention behaviors, with a view to healthier lifestyles.