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

Autor: Fernández-Gutiérrez DÁ; Associate Professor in the Nursing Department, Universidad de La Laguna, and Health Care Information Systems Facilitator and Blended-Learning Advisor in Primary Health Care Management, Servicio Canario de la Salud. Member of the University Study Center for Social Inequalities and Governance, CEDESOG Universidad de La Laguna, Tenerife, Canary Islands, Spain., Brito-Brito PR; Associate Professor in the Nursing Department, Universidad de La Laguna, and Research Nurse in Primary Care Management, Servicio Canario de la Salud, Tenerife, Canary Islands, Spain., Darias-Curvo S; Full Professor in the Nursing Department, Universidad de La Laguna, Tenerife. Member of the University Study Center for Social Inequalities and Governance, CEDESOG., Canary Islands, Spain., Cabrera-de-León A; Research Physician in the Research Unit of Ntra. Sra. de Candelaria Hospital, Tenerife. Full professor of Preventive Medicine and Public Health, Universidad de La Laguna, Canary Islands, Spain., Martínez-Alberto CE; Associate Professor in the Nursing Department, European University of the Canary Islands, Laureate International Universities, and Research Nurse in Primary Care Management, Servicio Canario de la Salud, Tenerife, Canary Islands, Spain., Aguirre-Jaime A; Research Advisor, Care Research Institute, Colegio de enfermeros de Santa Cruz de Tenerife Department of Public Health, European University of the Canary Islands, Laureate International Universities, Tenerife, Canary Islands, Spain.
Jazyk: angličtina
Zdroj: International journal of nursing knowledge [Int J Nurs Knowl] 2023 Jan; Vol. 34 (1), pp. 42-54. Date of Electronic Publication: 2022 Apr 22.
DOI: 10.1111/2047-3095.12371
Abstrakt: 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.
(© 2022 The Authors. International Journal of Nursing Knowledge published by Wiley Periodicals LLC on behalf of NANDA International.)
Databáze: MEDLINE
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