Abstract

Objective: This study aimed to examine electronic nursing care plans for patients who received treatment due to the diagnosis of coronavirus disease-2019 (COVID-19) in the intensive care units of a hospital. Material and Methods: The sample of this descriptive and retrospective study consisted of the electronic nursing care plans of 429 patients who received treatment due to the diagnosis of COVID-19 in the intensive care units of a hospital between 15 March, 2020 and 15 March, 2022. Data were collected between June and July 2022 using a descriptive characteristics form, a patient care plan evaluation form, and the quality measurement tool for nursing diagnosis, interventions, and outcomes. Results: The nurses were found to use 27 different nursing diagnoses in their care plans and they mostly preferred the nursing diagnoses of risk for infection (n=608), risk for ineffective breathing pattern (n=282), and risk for ımpaired oral mucous membrane integrity (n=233). The nurses labeled 87.66% of the nursing diagnosis correctly and identified 72.78% of the related factors and descriptive characteristics and 58.04% of the goals at an adequate level, 74.77% of the nursing interventions feasibly, and 47.26% of the evaluation at an adequate level. The mean score of the nurses for the quality measurement tool for nursing diagnosis, interventions, and outcomes was 51.82±6.89. Conclusion: It was seen that the nurses were sufficient in the electronic nursing process they prepared for the patients treated with the diagnosis of COVID-19, except for the evaluation, and the quality of the nursing process was above the average. It is recommended to provide training to nurses, especially for the evaluation stage of the nursing process.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.