The data analysis of the functional health patterns model for nursing care plans

dc.contributor.authorAydin, Aydanur
dc.contributor.authorSerpici, Ayşe
dc.contributor.authorŞimşek, Perihan
dc.contributor.authorGürsoy, Ayla
dc.contributor.authorÇilingir, Dilek
dc.contributor.authorErtürk Yavuz, Melek
dc.contributor.authorCandaş Altinbaş, Bahar
dc.date.accessioned2024-12-02T08:40:20Z
dc.date.available2024-12-02T08:40:20Z
dc.date.issued2024
dc.departmentAÇÜ, Sağlık Bilimleri Fakültesi, Hemşirelik Bölümüen_US
dc.description.abstractIntroduction: Clinical practices constitute an important part of nursing education and students are expected to gain the ability to plan patient care during nursing education. Aim: It aimed to construct North American Nursing Diagnosis Association (NANDA) nursing diagnoses in nursing students’ patient care plans according to the Functional Health Patterns model and to evaluate them according to the Nursing Intervention Classification (NIC) and Nursing Outcomes Classification (NOC) classification systems. Methods: The descriptive study's population included 198 second-year nursing students from a university. Students' care plans were used as a data gathering form, and 176 care plans were included in the research. The data was gathered from functional health patterns, NIC, and NOC system questionnaires. Results: Nursing diagnoses were listed as infection risk (88.6%), fall risk (79.5%), and bleeding (56.8%). Nursing diagnoses belonging to sexuality-reproductive, coping-stress tolerance, and value-belief sub-categories of functional health patterns could not be reached from the care plans. Conclusion: There is a need for classification methods to objectively evaluate nursing practices, make quantifiable contributions to care, and improve the profession's scientific underpinnings. It is hoped that evidence-based care can be provided by raising pupils' knowledge of classification systems.
dc.identifier.doi10.1080/20479700.2023.2288400
dc.identifier.issn2047-9700
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1080/20479700.2023.2288400
dc.identifier.urihttps://hdl.handle.net/11494/5076
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofInternational Journal of Healthcare Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectCare Planen_US
dc.subjectNANDAen_US
dc.subjectNICen_US
dc.subjectNOCen_US
dc.subjectNursing Studenten_US
dc.titleThe data analysis of the functional health patterns model for nursing care plansen_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
aydanur.aydin-ayse.serpici-perihan.simsek-ayla.gursoy-dile.cilingir-melek.erturkyavuz-bahar.candaş.pdf
Boyut:
1.21 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: