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

Abstract

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.

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