Related Experiment Video
Updated: Sep 26, 2025
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Cross-mapping medical records to NANDA-I to identify nursing diagnoses in a vulnerable population
Domingo Ángel Fernández-Gutiérrez1, Pedro Ruymán Brito-Brito2, Sara Darias-Curvo3
1Associate 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.
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.
More Related Videos
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
04:13Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
Published on: February 8, 2019
Related Concept Videos
01:10Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
01:29Nursing Interventions II: Selecting and Classifying the Nursing Interventions
01:22Nursing Diagnosis
The nursing diagnosis focuses on evidence-based...
01:27Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
01:26Formulating and Validating Nursing Diagnosis I
There are thirteen domains...
01:25Formulating and Validating Nursing Diagnosis II
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...