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Objective Method Findings Conclusions Implications for nursing practice To map nursing diagnoses related to cardiovascular function reported in studies involving patients in primary care.A scoping review follows JBI guidelines. Literature searches were conducted from March to May 2024. Studies included focused on nursing diagnoses for adults and older adult patients with cardiovascular conditions in primary care settings. Results were systematically presented in tables and narratively.Among the 12 included studies, the most prevalent diagnosis was “noncompliance” (00079), removed from NANDA‐I in 2017. Sixteen other diagnoses were identified, indicating a broader clinical profile of individuals with cardiovascular health issues in primary care. Most studies involved patients with hypertension in Brazil.Key nursing diagnoses for patients with cardiovascular conditions in primary care were identified. Ineffective health management emerged as a common characteristic among this population.Identifying prevalent diagnoses allows nurses to reinforce their commitment to managing cardiovascular conditions, improve care plans, and generate practice indicators for services, thus enhancing the quality of care provided. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study is to identify the key functional care problems, NANDA‐I nursing diagnoses, and intervention plans related to function‐focused care (FFC) using a web‐based case management system for patients who present different cognitive status. Methods: This study employed a retrospective descriptive research design. Data were obtained from system records on patients after the research team trained the case management system at a nursing home in Dangjin in South Chungcheong Province, South Korea. A total of 119 inpatient records were analyzed. Results: The key physical, cognitive, and social functional problems, nursing diagnoses in six domains (health promotion, elimination and exchange, activity/rest, perception/cognition, coping/stress tolerance, and safety/protection), and intervention plans were identified. Conclusion: The identified FFC case management information of interdisciplinary caregivers will provide evidence for the implementation of effective interventions according to a patient's functional status. Additional studies related to the establishment of a large clinical database of advanced case management systems focusing on interdisciplinary caregivers' functional management are needed to support the prioritization of functional care. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study is to generate empirical evidence, drawing from clinical records, with the goal of elevating the level of evidence supporting the nursing diagnosis (ND) of 'chronic pain'. Background: Chronic pain is a prevalent condition that affects all age groups. Patients often feel disbelieved about their pain perception, leading to adverse psychological effects, difficulty accessing healthcare and poor rehabilitation outcomes. Design: Retrospective descriptive study. Standards for Reporting Diagnostic Accuracy Studies guidelines were followed in this study. Methods: Data were extracted from Electronic Health Records (EHR) of patients admitted to the University Hospital of Perugia, Italy, between March 2016 and December 2022. The study sample comprised individuals without a specific medical diagnosis or high‐risk population. Out of 1,048,565 EHR, 43,341 clinical‐nursing diaries with the keyword 'pain' were identified, from which 283 clinical‐nursing notes were selected based on a keyword‐based retrieval technique and diagnostic definition for further analysis. Results: Our study findings support the diagnostic descriptors of the 'chronic pain' ND in clinical‐nursing diaries. We observed the presence of 9 out of 11 defining characteristics, 7 out of 10 related factors, 4 out of 8 at‐risk populations and 11 out of 17 associated conditions. Conclusions: The study validated diagnostic criteria for chronic pain and proposed 'haematological pathology' as a new associated condition. The findings were presented to the Diagnosis Development Committee of NANDA‐International for further review. However, limitations of the study prompted the need for further analysis using natural language processing and artificial neural network techniques. As a result, a new research direction using artificial intelligence (AI) tools was initiated. Relevance to Clinical Practice: The study validates diagnostic descriptors for chronic pain and proposes future directions in semantic analysis and AI tools, aiming to enhance clinical practice and decision‐making in nursing care. Patient or Public Contribution: No patient or public contribution. [ABSTRACT FROM AUTHOR]

Purpose: Patients with glioblastoma multiforme (GBM) face uncertainty during the illness trajectory that decreases their quality of life. Uncertainty manifests as an altered state of mind in patients with GBM and increases the burden of managing their diagnosis. The uncertainty in illness theory (UIT) can be used to guide nursing practice and create care plans to decrease this uncertainty. Data sources: The UIT and conceptual model were used to pair diagnoses from NANDA‐I Nursing Diagnoses to form care plans for patients with GBM. Methods: In a stepwise approach, concepts from the UIT were organized and cross‐walked into an integrated theory‐driven practice framework to enhance care planning. Conclusions: The UIT helps define and identify circumstances of uncertainty in patients experiencing illness, and Nursing Diagnoses provide engagement and outcomes for those uncertainty‐based diagnoses. Some examples of the UIT guiding Nursing Diagnoses includes a patient's cognitive level guiding a Nursing Diagnosis care plan of Risk for Acute Confusion. Social Support can guide the care plan of Risk for Loneliness, and appraisal of uncertainty can guide a care plan for Ineffective Individual Coping. Using the UIT to guide theory‐driven practice links interventions and outcomes in patients with GBM. Implications for practice: The UIT can guide NANDA‐I Nursing Diagnoses to assist nurses in creating a nursing care plan for nursing engagement to decrease uncertainty and increase the quality of life in patients with GBM. Theory‐driven research defines the application of the UIT in GBM and provides foundational knowledge for theory‐driven practice to occur. [ABSTRACT FROM AUTHOR]

Purpose: To provide guidance to nurses caring for families with COVID‐19, we developed linkages using interoperable standardized nursing terminologies: NANDA International (NANDA‐I) nursing diagnoses, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). In addition, we wanted to identify gaps in the terminologies and potential new nursing diagnoses, outcomes, and interventions for future development related to nurse roles in family care during a pandemic. Methods: Using a consensus process, seven nurse experts created the linkages focused on families during the COVID‐19 pandemic using the following steps: (1) creating an initial list of potential nursing diagnoses, (2) selecting and categorizing outcomes that aligned with all components of each nursing diagnosis selected, and (3) identifying relevant nursing interventions. Findings: We identified a total of seven NANDA‐I nursing diagnoses as the basis for the linkage work. These are distributed in three NANDA‐I Domains and based in the psychosocial dimension of the Nursing Care in Response to Pandemics model. Eighty‐nine different NOC outcomes were identified to guide care based on the nursing diagnoses, and 54 different NIC interventions were suggested as possible interventions. Fifteen new proposed concepts were identified for future development across the three classifications. Conclusions: The linkages of nursing diagnoses, outcomes, and interventions provide a guide to enhance nursing practice and care documentation that could quantify the impact of nursing care to patient outcomes for families at risk for or infected by COVID‐19. Implications for Nursing Practice: NANDA‐I, NOC, and NIC linkages identified in this paper provide resources to support clinical decisions and guide critical thinking for nurses encountering care needs of families with COVID‐19. Documentation of these linkages provides data that can create new knowledge to enhance the care of families impacted by COVID‐19. [ABSTRACT FROM AUTHOR]

Purpose: To provide guidance to nurses caring for individuals with COVID‐19, we developed linkages using interoperable standardized nursing terminologies: NANDA International (NANDA‐I) nursing diagnoses, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). We also identified potential new NANDA‐I nursing diagnoses, NOC outcomes, and NIC interventions for future development related to nurses' role during a pandemic. Methods: Using a consensus process, seven nurse experts created the linkages for individuals during the COVID 19 pandemic using the following steps: (a) creating an initial list of potential nursing diagnoses, (b) selecting and categorizing outcomes that aligned with all components of each nursing diagnosis selected, and (c) identifying relevant nursing interventions. Findings: A total of 16 NANDA‐I nursing diagnoses were identified as the foundation for the linkage work, organized in two dimensions, physiological and psychosocial. A total of 171 different NOC outcomes were identified to guide care based on the nursing diagnoses and 96 NIC interventions were identified as suggested interventions. A total of 13 proposed concepts were identified for potential future development across the three classifications. Conclusions: The linkages of nursing diagnoses, outcomes, and interventions developed in this article provide a guide to enhance nursing practice and determine the effectiveness of nurses' contribution to patient outcomes for individuals at risk for or infected by COVID‐19. Implications for nursing practice: NANDA‐I, NOC, and NIC linkages identified in this paper are an important example of the value of using standardized nursing terminologies to guide and document nursing care. When included in electronic health record databases and used widely, the data generated from the care plans can be used to create new knowledge about how to better improve outcomes for patients with COVID‐19. [ABSTRACT FROM AUTHOR]

PURPOSE: We developed linkages using interoperable standardized nursing terminologies, NANDA International (NANDA‐I) nursing diagnoses, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC), to present initial guidance for the development of care plans focused on COVID‐19 for nurses practicing in community or public health roles. METHODS: Seven nurse experts identified the linkages of NANDA‐I, NOC and NIC for our work related to the COVID‐19 pandemic. A model was developed to guide the project. The first step in creating linkages focused on the identification of nursing diagnoses. Then, for each nursing diagnosis, outcomes aligned with all components of the diagnosis were categorized and a list of nursing interventions was selected. The experts used their clinical judgment to make final decisions on the linkages selected in this study. FINDINGS: Two community level nursing diagnoses were identified as key problems appropriate for a pandemic related to COVID‐19: Deficient Community Health and Ineffective Community Coping. For the nursing diagnosis Deficient Community Health, eight nursing outcomes and 12 nursing interventions were selected. In comparison for the nursing diagnosis, Ineffective Community Coping, nine nursing outcomes and 18 nursing interventions were identified. A total of40 concepts were identified for future development across the three classifications. CONCLUSIONS: The nursing diagnoses, outcomes and interventions selected during this linkage process provide knowledge to support the community challenged with responding to the COVID‐19 pandemic, provide the opportunity to quantify the impact of nursing care, and enhance nursing practice by promoting the use of three standardized terminologies. IMPLICATIONS FOR NURSING PRACTICE: NANDA‐I, NOC and NIC linkages identified in this manuscript provide resources to support clinical decisions and care plan development for nurses practicing in the community. [ABSTRACT FROM AUTHOR]

Introduction: Nursing diagnosis classification systems have been developed to help nurses identify problems and patient needs. However, the question of how classification systems have adopted the concept of health has been given little attention. Aim: The aim was to explore and analyse which perspectives on health are incorporated into the NANDA‐I‐based care plans of individuals with bipolar disorder. Methods: A document analysis was used to systematically review and analyse care plans based on nursing diagnosis classification system. Thematic analysis was used as an analytic tool. Findings: The results are presented in three themes: (i) health as strengths; (ii) health as satisfaction; and (iii) health as behaviour and functionality. Discussion: We discuss how health is deeply embedded in nursing diagnosis classification system‐based care plans. The care plans correspond to the holistic perspective, as they acknowledge the existence of health even during illness. Further, health is viewed as nonstatic and discussed from the perspective of person‐centred care. [ABSTRACT FROM AUTHOR]

Purpose To assess the perceptions and attitudes of undergraduate nursing students toward NANDA- I nursing diagnosis. Methods A descriptive cross-sectional design was used. A convenient sample was recruited from nursing students at Zarqa University/ Jordan. Perceptions toward NANDA- I Nursing Diagnosis scale and Positions on Nursing Diagnosis scale were used. Findings A total of 101 nursing students were included. A correct perception toward NANDA- I nursing diagnosis was evident. Attitudes toward NANDA appeared positive. However, insufficient distinction between nursing diagnosis and medical diagnosis and feeling less comfort while using NANDA- I were reported. Conclusions Nursing students showed correct perceptions and positive attitudes toward the application of NANDA- I. Practice Implications Proper implementation of NANDA- I is a prerequisite to the better understanding of nursing language. [ABSTRACT FROM AUTHOR]

PURPOSE. The aim of this paper is to describe an educational strategy for teaching standardized nursing languages (SNL) used in both the classroom and clinical components of a psychiatric–mental health nursing course at the associate degree level. DATA SOURCES. Data included a review of the relevant literature, teaching experiences, and faculty and student experiences. DATA SYNTHESIS. Enhancing associate degree student nurses' competency regarding diagnosis and interventions is essential to influence positive health outcomes. Use of diagnostic, outcome, and intervention classifications for learning nursing care promotes critical thinking, individualization of nursing care, and students' fluency with SNL. One possible teaching strategy to assist students to learn and use SNL was implemented through the use of a faculty-developed Student Nurse Documentation Packet. CONCLUSIONS. The educational strategy provided students opportunities to enhance their experience with the SNL to plan and document care of individuals experiencing psychiatric–mental health problems. IMPLICATIONS FOR NURSING. The educational strategy used in this program was judged to be successful. Research is needed to provide empirical evidence of the efficacy of this pedagogical strategy for increasing knowledge and enhancing students' competency. [ABSTRACT FROM AUTHOR]

PURPOSE. To describe a customized electronic medical record documentation system which provides an electronic health record, Epic, which was implemented in December 2006 using standardized taxonomies for nursing documentation. DATA SOURCES. Descriptive data is provided regarding the development, implementation, and evaluation processes for the electronic medical record system. Nurses used standardized nursing nomenclature including NANDA-I diagnoses, Nursing Interventions Classification, and Nursing Outcomes Classification in a measurable and user-friendly format using the care plan activity. CONCLUSIONS AND IMPLICATIONS. Key factors in the success of the project included close collaboration among staff nurses and information technology staff, ongoing support and encouragement from the vice president/chief nursing officer, the ready availability of expert resources, and nursing ownership of the project. Use of this evidence-based documentation enhanced institutional leadership in clinical documentation. [ABSTRACT FROM AUTHOR]