Comparison of perceived general health status between suspected and confirmed cases of COVID‐19 and identifying the nursing diagnoses: A cross‐sectional study
Abstract Aim 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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-03-01
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| Series: | Nursing Open |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/nop2.1420 |
| _version_ | 1811166935846486016 |
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| author | Hui‐Chen (Rita) Chang Mu‐Hsing Ho Wei Qing Zhang Fang Yuan Ayele Semachew Kasa Jed Montayre |
| author_facet | Hui‐Chen (Rita) Chang Mu‐Hsing Ho Wei Qing Zhang Fang Yuan Ayele Semachew Kasa Jed Montayre |
| author_sort | Hui‐Chen (Rita) Chang |
| collection | DOAJ |
| description | Abstract Aim 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. |
| first_indexed | 2024-04-10T16:01:45Z |
| format | Article |
| id | doaj.art-af87530b054943aaa5f3534c1bea5c6d |
| institution | Directory Open Access Journal |
| issn | 2054-1058 |
| language | English |
| last_indexed | 2024-04-10T16:01:45Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Nursing Open |
| spelling | doaj.art-af87530b054943aaa5f3534c1bea5c6d2023-02-10T12:27:02ZengWileyNursing Open2054-10582023-03-011031656166110.1002/nop2.1420Comparison of perceived general health status between suspected and confirmed cases of COVID‐19 and identifying the nursing diagnoses: A cross‐sectional studyHui‐Chen (Rita) Chang0Mu‐Hsing Ho1Wei Qing Zhang2Fang Yuan3Ayele Semachew Kasa4Jed Montayre5School of Nursing, Faculty of Science, Medicine and Health University of Wollongong, Illawarra Health and Medical Research Institute (IHMRI) Wollongong New South Wales AustraliaSchool of Nursing, LKS Faculty of Medicine The University of Hong Kong Pokfulam Hong KongThe Second Affiliated Hospital of Zhengzhou University Zhengzhou ChinaWuhan Fourth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan ChinaSchool of Nursing, Faculty of Science, Medicine and Health University of Wollongong, Illawarra Health and Medical Research Institute (IHMRI) Wollongong New South Wales AustraliaSchool of Nursing and Midwifery Western Sydney University Penrith New South Wales AustraliaAbstract Aim 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.https://doi.org/10.1002/nop2.1420care plancoronavirusnursesnursingnursing diagnosis |
| spellingShingle | Hui‐Chen (Rita) Chang Mu‐Hsing Ho Wei Qing Zhang Fang Yuan Ayele Semachew Kasa Jed Montayre Comparison of perceived general health status between suspected and confirmed cases of COVID‐19 and identifying the nursing diagnoses: A cross‐sectional study Nursing Open care plan coronavirus nurses nursing nursing diagnosis |
| title | Comparison of perceived general health status between suspected and confirmed cases of COVID‐19 and identifying the nursing diagnoses: A cross‐sectional study |
| title_full | Comparison of perceived general health status between suspected and confirmed cases of COVID‐19 and identifying the nursing diagnoses: A cross‐sectional study |
| title_fullStr | Comparison of perceived general health status between suspected and confirmed cases of COVID‐19 and identifying the nursing diagnoses: A cross‐sectional study |
| title_full_unstemmed | Comparison of perceived general health status between suspected and confirmed cases of COVID‐19 and identifying the nursing diagnoses: A cross‐sectional study |
| title_short | Comparison of perceived general health status between suspected and confirmed cases of COVID‐19 and identifying the nursing diagnoses: A cross‐sectional study |
| title_sort | comparison of perceived general health status between suspected and confirmed cases of covid 19 and identifying the nursing diagnoses a cross sectional study |
| topic | care plan coronavirus nurses nursing nursing diagnosis |
| url | https://doi.org/10.1002/nop2.1420 |
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