ArticleInternational journal of nursing knowledge2023
Cross-mapping medical records to NANDA-I to identify nursing diagnoses in a vulnerable population.
Article in International journal of nursing knowledge, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- The middle-range theory of the nursing diagnosis "ineffective health self-management".Revista brasileira de enfermagem · 2025Article
- Community Care Needs of Highly Complex Chronic Patients: An Epidemiological Study in a Healthcare Area.Nursing reports (Pavia, Italy) · 2024Article
- Nursing diagnoses for people hospitalized with heart failure: an integrative review.Revista brasileira de enfermagem · 2024Review
- Cross-mapping medical records to NANDA-I to identify nursing diagnoses in a vulnerable population.International journal of nursing knowledge · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess the association between vulnerable populations and nursing care needs, using NANDA-I diagnostics, in the population of the Canary Islands, Spain.
methodsNursing 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.
findingsThe 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.
conclusionsThe 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.
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