Cross‐Mapping of Nursing Care Terms Recorded in Italian Hospitals into the Standardized NNN Terminology

Standardizing nursing data extracted from electronic health records for integration into a statewide clinical data research network

BACKGROUND

Care plans documented by nurses in electronic health records (EHR) are a rich source of data to generate knowledge and measure the impact of nursing care. Unfortunately, there is a lack of integration of these data in clinical data research networks (CDRN) data trusts, due in large part to nursing care being documented with local vocabulary, resulting in non-standardized data. The absence of high-quality nursing care plan data in data trusts limits the investigation of interdisciplinary care aimed at improving patient outcomes.

OBJECTIVE

To map local nursing care plan terms for patients' problems and goals in the EHR of one large health system to the standardized nursing terminologies (SNTs), NANDA International (NANDA-I), and Nursing Outcomes Classification (NOC).

METHODS

We extracted local problems and goals used by nurses to document care plans from two hospitals. After removing duplicates, the terms were independently mapped to NANDA-I and NOC by five mappers. Four nurses who regularly use the local vocabulary validated the mapping.

RESULTS

83% of local problem terms were mapped to NANDA-I labels and 93% of local goal terms were mapped to NOC labels. The nurses agreed with 95% of the mapping. Local terms not mapped to labels were mapped to the domains or classes of the respective terminologies.

CONCLUSION

Mapping local vocabularies used by nurses in EHRs to SNTs is a foundational step to making interoperable nursing data available for research and other secondary purposes in large data trusts. This study is the first phase of a larger project building, for the first time, a pipeline to standardize, harmonize, and integrate nursing care plan data from multiple Florida hospitals into the statewide CDRN OneFlorida+ Clinical Research Network data trust.

Effectiveness of a Standardized Nursing Process Using NANDA International, Nursing Interventions Classification and Nursing Outcome Classification Terminologies: A Systematic Review

The decision-making in clinical nursing, regarding diagnoses, interventions and outcomes, can be assessed using standardized language systems such as NANDA International, the Nursing Interventions Classification and the Nursing Outcome Classification; these taxonomies are the most commonly used by nurses in informatized clinical records. The purpose of this review is to synthesize the evidence on the effectiveness of the nursing process with standardized terminology using the NANDA International, the Nursing Interventions Classification and the Nursing Outcome Classification in care practice to assess the association between the presence of the related/risk factors and the clinical decision-making about nursing diagnosis, assessing the effectiveness of nursing interventions and health outcomes, and increasing people's satisfaction. A systematic review was carried out in Medline and PreMedline (OvidSP), Embase (Embase-Elsevier), The Cochrane Library (Wiley), CINAHL (EbscoHOST), SCI-EXPANDED, SSCI and Scielo (WOS), LILACS (Health Virtual Library) and SCOPUS (SCOPUS-Elsevier) and included randomized clinical trials as well as quasi-experimental, cohort and case-control studies. Selection and critical appraisal were conducted by two independent reviewers. The certainty of the evidence was assessed with the Grading of Recommendations Assessment, Development and Evaluation Methodology. A total of 17 studies were included with variability in the level and certainty of evidence. According to the outcomes, 6 studies assessed diagnostic decision-making and 11 assessed improvements in individual health outcomes. No studies assessed improvements in intervention effectiveness or population satisfaction. There is a need to increase studies with rigorous methodologies that address clinical decision-making about nursing diagnoses using NANDA International and individuals' health outcomes using the Nursing Interventions Classification and the Nursing Outcome Classification as well as implementing studies that assess the use of these terminologies for improvements in the effectiveness of nurses' interventions and population satisfaction with the nursing process.

Effectiveness of the Primary Nursing Model on nursing documentation accuracy: A quasi-experimental study

AIMS AND OBJECTIVES

To analyse the Primary Nursing Model's effect on nursing documentation accuracy.

BACKGROUND

The Primary Nursing is widely implemented since it has been considered as the ideal model of care delivery based on the relationship between the nurse and patient. However, previous research has not examined the relationship between Primary Nursing and nursing documentation accuracy.

DESIGN

A pretest-posttest-follow-up design was used.

METHODS

The study was conducted from August 2018 to February 2020 in eight surgical and medical wards in an Italian university hospital. The Primary Nursing was implemented in four wards (study group), while in the other four, the Team Nursing was practised (control group). Nursing documentation accuracy was evaluated through the D-Catch instrument. From the eight wards, 120 nursing documentations were selected randomly for each time point (pre-test, post-test and follow-up) and in each group. Altogether, 720 nursing documents were assessed. The study adhered to the TREND checklist.

RESULTS

The Primary Nursing and Team Nursing Models exhibited significant differences in mean scores for documentation accuracy: assessment on admission, nursing diagnosis, nursing intervention and patient outcome accuracy. No differences between the two groups were found for record structure accuracy and legibility between the posttest and follow-up.

CONCLUSION

Primary Nursing exerts an overall positive effect on nursing documentation accuracy and persists over time.

RELEVANCE TO CLINICAL PRACTICE

The benefits from Primary Nursing implementation included better-documented patient outcomes. The use of Primary Nursing linked with the use of the nursing process allowed for a more individualised and problem-solving approach. Nurse managers should consider the implementation of Primary Nursing to improve care quality.

Cross-mapping medical records to NANDA-I to identify nursing diagnoses in a vulnerable population

PURPOSE

To assess the association between vulnerable populations and nursing care needs, using NANDA-I diagnostics, in the population of the Canary Islands, Spain.

METHODS

Nursing social epidemiology study. Cross Mapping of Medical Records to NANDA-I to Identify Nursing Diagnoses in a Population usinga medical, epidemiological follow-up study of a cohort of 7,190 people. The level of vulnerability of the participants was assigned, among those who were also assigned nursing diagnoses, using the "ICE index" to calculate the expected associations.

FINDINGS

The most prevalent nursing diagnosis in our sample was Sedentary lifestyle (60.5%), followed by Ineffective health self-management (33.8%) and Risk-prone health behaviour (28.7%). Significant differences were found by sex, age group and social class, with the nursing diagnoses included in the study being more prevalent among the most socio-economically disadvantaged social class.

CONCLUSIONS

The cross-mapping method is useful to generate diagnostic information in terms of care needs, using the NANDA-I classification. The expected associations between high social vulnerability and care needs have been verified in a comprehensive and representative sample of the Canarian population (Spain).

IMPLICATIONS FOR NURSING PRACTICE

From an epidemiological perspective, identifying nursing diagnoses at the population level allows us to find the most prevalent needs in the different community groups and to focus appropriate nursing interventions for their implementation and impact assessment.

[Complexity of outpatient intensive care for ventilated people: Cross-mapping into the standardised NNN-taxonomy]

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.

Terminological relationships between nursing diagnoses for children with kidney diseases

OBJECTIVE

To identify the relationships between the statements of nursing diagnoses for children with kidney diseases prepared according to the International Classification for Nursing Practice (ICNP®) with the diagnoses of NANDA International (NANDA-I).

METHODS

Methodological study operationalized by the steps: 1) Survey of clinical findings through interviews and physical examination with children; 2) Elaboration of nursing diagnoses through Gordon's clinical judgment; 3) Cross-mapping of diagnostic statements between the NANDA-I and ICNP® classification systems; 4) Content validation using the Delphi technique, in two rounds, with specialist nurses.

RESULTS

90 children participated. A total of 151 diagnoses were made, of which 66.3% (n=100) used ICNP® terminology and 33.7% (n=51) used NANDA-I; 55 diagnoses showed equivalence of meanings.

CONCLUSIONS

Cross-mapping of diagnoses was achieved starting from the reality of children, using clinical reasoning and validation by specialist nurses.

Relações terminológicas entre diagnósticos de enfermagem para crianças com doenças renais

RESUMO Objetivo: Identificar as relações dos enunciados de diagnósticos de enfermagem para crianças com doenças renais elaborados segundo a Classificação Internacional para a Prática de Enfermagem (CIPE®) com os diagnósticos da NANDA Internacional (NANDA-I). Métodos: Estudo metodológico operacionalizado pelas etapas: 1) Levantamento dos achados clínicos por meio de entrevista e exame físico com crianças; 2) Elaboração dos diagnósticos de enfermagem mediante o julgamento clínico de Gordon; 3) Mapeamento cruzado dos enunciados de diagnósticos entre os sistemas de classificação NANDA-I e CIPE®; 4) Validação de conteúdo utilizando a técnica Delphi, em duas rodadas, com enfermeiros especialistas. Resultados: Participaram 90 crianças. Foram elaborados 151 diagnósticos, dos quais 66,3% (n= 100) da terminologia da CIPE® e 33,7% (n= 51) da NANDA-I; 55 diagnósticos apresentaram equivalência de significados. Conclusões: O mapeamento cruzado de diagnósticos foi alcançado partindo-se da realidade de crianças, com uso de raciocínio clínico e validação por enfermeiros especialistas.

Translation and cross-cultural adaptation of the Clinical Care Classification system

INTRODUCTION

The Clinical Care Classification (CCC) system is one of the standard nursing terminologies recognized by the American Nurses Association, developed to describe nursing care through electronic documentation in different healthcare settings. The translation of the CCC system into languages other than English is useful to promote its widespread use in different countries and to provide the standard nursing data necessary for interoperable health information exchange. The aim of this study was to translate the CCC system from English to Italian and to test its clinical validity.

METHODS

A translation with cross-cultural adaptation was performed in four phases: forward-translation, back-translation, review, and dissemination. Subsequently a pilot cross-mapping study between nursing activities in free-text nursing documentation and the CCC interventions was conducted.

RESULTS

All elements of the CCC system were translated into Italian. Semantic and conceptual equivalences were achieved. Altogether 77.8% of the nursing activities were mapped into CCC interventions.

CONCLUSIONS

The CCC system, and its integration into electronic health records, has the potential to support Italian nurses in describing and providing outcomes and costs of their care in different healthcare settings. Future studies are needed to strengthen the impact of the CCC system on clinical practice.

Assessment of Cardiovascular Risk Factors in Young Adults through the Nursing Diagnosis: A Cross-Sectional Study among International University Students

Four out of five deaths from cardiovascular disease are due to heart attacks and strokes in low- and middle-income countries. Early identification of risk factors in exposed individuals will help to develop interventions that may eliminate and/or reduce these risks and prevent the development of cardiovascular diseases. So, it is necessary to investigate the risk of impaired cardiovascular function in university students due to the increase in some risk factors and cardiovascular events in young adults, and to describe its epidemiology among international university students. For this, an observational cross-sectional study through interviews is designed. The clinical validity was addressed following the Fehring model. In addition, anthropometric data and results of laboratory tests were collected. The nursing diagnosis “Risk of impaired cardiovascular function” showed clinical validity, high sensitivity and specificity, as well as predictive values. Fehring ratio values were above 0.79 and Kappa Index above 0.72. The study showed a high frequency of this nursing diagnosis among university students, especially in students of Brazilian nationality. The main risks of impaired cardiovascular function found in 86.8% of students were: family history of cardiovascular disease, sedentary lifestyle, pharmacological agent, dyslipidemia, and insufficient knowledge. The most prevalent risk factors of the nursing diagnosis in the studied population were related to insufficient knowledge of modifiable health habits, such as sedentary lifestyle. The information provided is expected to serve as the basis for the planning and implementation of health actions aimed at reducing modifiable risk factors for cardiovascular disease.

Content validation of the symptom control outcome for heart failure patients in palliative care

OBJECTIVES

To estimate the content validity of the Symptom Control nursing outcome for heart failure patients in palliative care and to analyze the influence of experts' experience in the judgment of the relevance of indicators.

METHODS

A methodological study conducted in São Paulo in 2018, with an adaptation of Fehring's validation model. The relevance of the 11 outcome indicators was assessed by 19 experts by means of an electronically submitted survey. The influence of the experts' experience on judgment was analyzed by the Wilcoxon-Mann-Whitney test and by Kendall's Tau correlation.

RESULTS

The indicators were considered pertinent; with 54.5% classified as critical. There was no association between the weighted means of the indicators and the experts' experience.

CONCLUSIONS

The indicators analyzed are relevant for the evaluation of the Symptom Control outcome in this group of patients. The experts' judgment was not influenced by their area of clinical experience or by their experience with the Nursing Outcomes Classification (NOC).

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.