Nursing diagnoses in hospitalized patients with COVID-19 in Indonesia
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Keywords

COVID-19
humans
nursing diagnosis
nursing assessments
Indonesia

How to Cite

Hidayati, N., Hadi, F., Suratmi, S., Maghfiroh, I. L. ., Andarini, E., Setiawan, H., & Lutfi Sandi, Y. D. . (2022). Nursing diagnoses in hospitalized patients with COVID-19 in Indonesia . Belitung Nursing Journal, 8(1), 44–52. https://doi.org/10.33546/bnj.1828
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Abstract

Background: The COVID-19 pandemic has become a global public health issue, and the roles of nurses are very much needed in providing nursing services in the current situation. The enforcement of appropriate nursing diagnoses for patients with COVID-19 is also fundamental in determining proper nursing care to help the patients achieve maximum health.

Objective: This study aimed to describe and analyze nursing diagnoses in patients with COVID-19 treated in the isolation rooms and ICUs.

Methods: This study used a secondary data analysis from hospital medical record data of patients with COVID-19 from early December 2020 to the end of February 2021. Data were selected using a cluster random sampling technique and analyzed using descriptive statistics.

Results: The results showed that the signs and symptoms of the patients with COVID-19 that often appeared were fever, cough, shortness of breath, and decreased consciousness. The common nursing diagnoses in the hospitalized patients with COVID-19 were hyperthermia, ineffective airway clearance, gas exchange disorder, self-care deficit, spontaneous ventilation disorder, spontaneous circulation disorder, knowledge deficit, and shock risk.

Conclusion: This study offers an insight into nursing practices in the hospital setting, which can be used as a basis for nurses to perform complete nursing assessments and nursing diagnoses during the pandemic.

https://doi.org/10.33546/bnj.1828
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Copyright (c) 2022 Nur Hidayati, Farhan Hadi, Suratmi Suratmi, Isni Lailatul Maghfiroh, Esti Andarini, Henri Setiawan, Yudisa Diaz Lutfi Sandi

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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Declaration of Conflicting Interest

The authors declare that they have no conflict of interest in this study.

Acknowledgment

None.

Authors’ Contributions

All authors contributed substantial contributions to the study, critically reviewed and revised the manuscript, approved the version to be published, and agreed to be responsible for all aspects of the work. Specifically, study conception and design: NH, FH, S, ILM, EA. Data collection: FH, NH, S, ILM. Data analysis and interpretation: NH, FH, HS, YDS, EA. Drafting article: EA, HS, YDS. Critically revised the article: EA, YDS.

Data Availability

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.


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