NANDA taxonomy and insomnia evaluation scale in older people: A crosssectional study

• Published in: Avances en enfermería Vol. 41; no. 3
• Main Authors: Souza Szpalher, Adriana, Barreto Cardoso, Rosane, Weiss, Carleara, Alfradique de Souza, Priscilla
• Format: Journal Article
• Language: English
• Published: Bogota Universidad Nacional de Colombia 29-12-2023
• Subjects: Insomnia; Nursing; Older people; Sociodemographics
• ISSN: 0121-4500; 2346-0261
• DOI: 10.15446/av.enferm.v41n3.111620

Objective: To identify the prevalence of indicators of the nursing diagnosis “insomnia” in older people through the Insomnia Severity Index (ISI) scale. Materials and methods: Cross-sectional epidemiological study involving older individuals from a community center. Data analysis was conducted between July and August 2021 using the R program. Univariate analysis was adopted for sociodemographic characterization. The χ² test (Pearson’s chi-square) was employed to assess the association between the sociodemographic variables, nursing diagnosis indicators, and the ISI. Results: A total of 90 older people (mean age = 76.8 years, SD = 7.2 years) with at least one defining characteristic were included in this study. There was a higher prevalence of the diagnostic indicators “insufficient physical endurance” (75.6%; 95% CI: 65-83%) and “average daily physical activityis less than recommended for age and gender” (71.1%; 95% CI: 61-79%). In contrast, the diagnostic indicators “increased accidents” (6.7%; 95% CI: 3-13%) and “lifestyle incongruent with normal circadian rhythms” (2.2%; 95% CI: 92-99%) had a lower prevalence. A significant association was found between ISI, the defining characteristics (p = 0.009; < 0.001; 0.005; 0.002; 0.022; < 0.001; 0.004; < 0.001), and the related factors (p = 0.007; 0.004; < 0.001; 0.006; 0.049) of nursing diagnosis. Conclusions: The prevailing indicators of insomnia in community-dwelling older individuals were demonstrated in our sample and their association with a validated clinical assessment survey was established. These findings may contribute to nurses’ diagnostic accuracy and their abilityto conduct effective diagnostic screening in older populations.