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Article: Comparison of perceived general health status between suspected and confirmed cases of COVID-19 and identifying the nursing diagnoses: A cross-sectional study

TitleComparison of perceived general health status between suspected and confirmed cases of COVID-19 and identifying the nursing diagnoses: A cross-sectional study
Authors
Keywordscare plan
coronavirus
nurses
nursing
nursing diagnosis
Issue Date1-Mar-2023
PublisherWiley Open Access
Citation
Nursing Open, 2023, v. 10, n. 3, p. 1656-1661 How to Cite?
AbstractAim: This study aimed to examine the differences in health status between patients with confirmed COVID-19 and those suspected (other diagnosis) and to identify nursing diagnoses using a structured checklist from a hospital in China. Design: Cross-sectional study design was used. Methods: One hundred sixty COVID-19 confirmed, and suspected patients were conveniently selected. A structured survey and checklist were utilized. Independent t test and chi-square test were employed to compare the mean between patients with confirmed coronavirus infection and others. A two-sided p-value of.05 or less is considered statistically significant. Results: The study yielded a response rate of 93.6%. The result indicated that patients with confirmed coronavirus infection have a higher proportion of perceived General Health Status than inpatients with suspected (other) diagnoses. The finding also indicated that ineffective airway clearance, hyperthermia, imbalanced nutrition less than body requirement and sleep pattern disturbance were the main nursing diagnoses identified.
Persistent Identifierhttp://hdl.handle.net/10722/353528
ISSN
2023 Impact Factor: 2.0
2023 SCImago Journal Rankings: 0.782
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChang, Hui Chen-
dc.contributor.authorHo, Mu Hsing-
dc.contributor.authorZhang, Wei Qing-
dc.contributor.authorYuan, Fang-
dc.contributor.authorKasa, Ayele Semachew-
dc.contributor.authorMontayre, Jed-
dc.date.accessioned2025-01-21T00:35:30Z-
dc.date.available2025-01-21T00:35:30Z-
dc.date.issued2023-03-01-
dc.identifier.citationNursing Open, 2023, v. 10, n. 3, p. 1656-1661-
dc.identifier.issn2054-1058-
dc.identifier.urihttp://hdl.handle.net/10722/353528-
dc.description.abstractAim: This study aimed to examine the differences in health status between patients with confirmed COVID-19 and those suspected (other diagnosis) and to identify nursing diagnoses using a structured checklist from a hospital in China. Design: Cross-sectional study design was used. Methods: One hundred sixty COVID-19 confirmed, and suspected patients were conveniently selected. A structured survey and checklist were utilized. Independent t test and chi-square test were employed to compare the mean between patients with confirmed coronavirus infection and others. A two-sided p-value of.05 or less is considered statistically significant. Results: The study yielded a response rate of 93.6%. The result indicated that patients with confirmed coronavirus infection have a higher proportion of perceived General Health Status than inpatients with suspected (other) diagnoses. The finding also indicated that ineffective airway clearance, hyperthermia, imbalanced nutrition less than body requirement and sleep pattern disturbance were the main nursing diagnoses identified.-
dc.languageeng-
dc.publisherWiley Open Access-
dc.relation.ispartofNursing Open-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectcare plan-
dc.subjectcoronavirus-
dc.subjectnurses-
dc.subjectnursing-
dc.subjectnursing diagnosis-
dc.titleComparison of perceived general health status between suspected and confirmed cases of COVID-19 and identifying the nursing diagnoses: A cross-sectional study-
dc.typeArticle-
dc.identifier.doi10.1002/nop2.1420-
dc.identifier.pmid36271502-
dc.identifier.scopuseid_2-s2.0-85140209992-
dc.identifier.volume10-
dc.identifier.issue3-
dc.identifier.spage1656-
dc.identifier.epage1661-
dc.identifier.eissn2054-1058-
dc.identifier.isiWOS:000870885000001-
dc.identifier.issnl2054-1058-

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