Adriana Souza Szpalher Master degree in Nursing, Priscilla Alfradique de Souza PhD in Nursing, Carleara Weiss PhD in Nursing, Marcos Venícios de Oliveira Lopes PhD in Nursing, Rosane Barreto Cardoso PhD in Nursing, Natália Chantal Magalhães da Silva PhD in Nursing
{"title":"护理诊断社区中心老年人失眠的结构有效性。","authors":"Adriana Souza Szpalher Master degree in Nursing, Priscilla Alfradique de Souza PhD in Nursing, Carleara Weiss PhD in Nursing, Marcos Venícios de Oliveira Lopes PhD in Nursing, Rosane Barreto Cardoso PhD in Nursing, Natália Chantal Magalhães da Silva PhD in Nursing","doi":"10.1111/2047-3095.12452","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>Insomnia is an important sleep disorder in older persons. Conceptual analysis studies on this nursing diagnosis have been developed, but the diagnostic accuracy has not been verified. This study aimed to verify the diagnostic accuracy of the nursing diagnosis of Insomnia (00095) in older adults in a community center in Brazil.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A validation study for diagnostic accuracy of the defining characteristics of the nursing diagnosis Insomnia. Data were collected through telephone interviews with 90 participants. Latent class analysis was used to verify the sensitivity and specificity of the defining characteristics. Poisson regression was used to assess the prevalence of the association of factors related to the nursing diagnosis of insomnia.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>A 47.42% prevalence of insomnia in the sample was identified. Defining characteristics such as expresses dissatisfaction with sleep and nonrestorative sleep–wake cycle showed the best accuracy values for insomnia, with a specificity of 0.92 (0.78–1.00) and 0.89 (0.74–1.00), respectively. Related factors such as stressors and frequent naps during the day were more likely to develop insomnia in individuals.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study indicates diagnostic accuracy of nursing diagnosis of insomnia in community-dwelling older people from a community center. The findings highlighted the importance of the defining characteristics of nursing diagnosis insomnia and its main related factors contributing to accurate diagnostic identification.</p>\n </section>\n \n <section>\n \n <h3> Implications for nursing practice</h3>\n \n <p>This study can contribute to providing objective clinical indicators of insomnia in the older population to guide nurses in early diagnostic confirmation for the selection of health interventions. In addition, it can be a consistent contribution to theoretical and conceptual reviews of this diagnosis.</p>\n </section>\n </div>","PeriodicalId":49051,"journal":{"name":"International Journal of Nursing Knowledge","volume":"35 4","pages":"354-362"},"PeriodicalIF":1.4000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Structural validity of nursing diagnosis insomnia in older adults of a community center\",\"authors\":\"Adriana Souza Szpalher Master degree in Nursing, Priscilla Alfradique de Souza PhD in Nursing, Carleara Weiss PhD in Nursing, Marcos Venícios de Oliveira Lopes PhD in Nursing, Rosane Barreto Cardoso PhD in Nursing, Natália Chantal Magalhães da Silva PhD in Nursing\",\"doi\":\"10.1111/2047-3095.12452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>Insomnia is an important sleep disorder in older persons. Conceptual analysis studies on this nursing diagnosis have been developed, but the diagnostic accuracy has not been verified. This study aimed to verify the diagnostic accuracy of the nursing diagnosis of Insomnia (00095) in older adults in a community center in Brazil.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A validation study for diagnostic accuracy of the defining characteristics of the nursing diagnosis Insomnia. Data were collected through telephone interviews with 90 participants. Latent class analysis was used to verify the sensitivity and specificity of the defining characteristics. Poisson regression was used to assess the prevalence of the association of factors related to the nursing diagnosis of insomnia.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Findings</h3>\\n \\n <p>A 47.42% prevalence of insomnia in the sample was identified. Defining characteristics such as expresses dissatisfaction with sleep and nonrestorative sleep–wake cycle showed the best accuracy values for insomnia, with a specificity of 0.92 (0.78–1.00) and 0.89 (0.74–1.00), respectively. Related factors such as stressors and frequent naps during the day were more likely to develop insomnia in individuals.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>This study indicates diagnostic accuracy of nursing diagnosis of insomnia in community-dwelling older people from a community center. 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Structural validity of nursing diagnosis insomnia in older adults of a community center
Purpose
Insomnia is an important sleep disorder in older persons. Conceptual analysis studies on this nursing diagnosis have been developed, but the diagnostic accuracy has not been verified. This study aimed to verify the diagnostic accuracy of the nursing diagnosis of Insomnia (00095) in older adults in a community center in Brazil.
Methods
A validation study for diagnostic accuracy of the defining characteristics of the nursing diagnosis Insomnia. Data were collected through telephone interviews with 90 participants. Latent class analysis was used to verify the sensitivity and specificity of the defining characteristics. Poisson regression was used to assess the prevalence of the association of factors related to the nursing diagnosis of insomnia.
Findings
A 47.42% prevalence of insomnia in the sample was identified. Defining characteristics such as expresses dissatisfaction with sleep and nonrestorative sleep–wake cycle showed the best accuracy values for insomnia, with a specificity of 0.92 (0.78–1.00) and 0.89 (0.74–1.00), respectively. Related factors such as stressors and frequent naps during the day were more likely to develop insomnia in individuals.
Conclusions
This study indicates diagnostic accuracy of nursing diagnosis of insomnia in community-dwelling older people from a community center. The findings highlighted the importance of the defining characteristics of nursing diagnosis insomnia and its main related factors contributing to accurate diagnostic identification.
Implications for nursing practice
This study can contribute to providing objective clinical indicators of insomnia in the older population to guide nurses in early diagnostic confirmation for the selection of health interventions. In addition, it can be a consistent contribution to theoretical and conceptual reviews of this diagnosis.
期刊介绍：
The International Journal of Nursing Knowledge, the official journal of NANDA International, is a peer-reviewed publication for key professionals committed to discovering, understanding and disseminating nursing knowledge.
The Journal aims to clarify the knowledge base of nursing and improve patient safety by developing and disseminating nursing diagnoses and standardized nursing languages, and promoting their clinical use. It seeks to encourage education in clinical reasoning, diagnosis, and assessment and ensure global consistency in conceptual languages.
The International Journal of Nursing Knowledge is an essential information resource for healthcare professionals concerned with developing nursing knowledge and /or clinical applications of standardized nursing languages in nursing research, education, practice, and policy.
The Journal accepts papers which contribute significantly to international nursing knowledge, including concept analyses, original and applied research, review articles and international and historical perspectives, and welcomes articles discussing clinical challenges and guidelines, education initiatives, and policy initiatives.
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