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Nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records

OBJECTIVE: Nursing care plans for oncology patients are complex and overlapping enough to warrant the need for systematised documentation that ensures high quality, flawless and comprehensive care. Addressing the patients’ needs through nursing diagnoses is the initial step that shapes the subsequen...

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Autores principales: Othman, Elham H, Alosta, Mohammad R, Alshraideh, Jafar Alasad, Al Muhaisen, Shahd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cancer Intelligence 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723747/
https://www.ncbi.nlm.nih.gov/pubmed/35047066
http://dx.doi.org/10.3332/ecancer.2021.1315
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author Othman, Elham H
Alosta, Mohammad R
Alshraideh, Jafar Alasad
Al Muhaisen, Shahd
author_facet Othman, Elham H
Alosta, Mohammad R
Alshraideh, Jafar Alasad
Al Muhaisen, Shahd
author_sort Othman, Elham H
collection PubMed
description OBJECTIVE: Nursing care plans for oncology patients are complex and overlapping enough to warrant the need for systematised documentation that ensures high quality, flawless and comprehensive care. Addressing the patients’ needs through nursing diagnoses is the initial step that shapes the subsequent care. Therefore, the current study aimed to identify the frequent NANDA-I diagnoses reported in nursing care plans for medical oncology patients. DATA SOURCES: A retrospective design was used to collect data from 260 electronic nursing care records of oncology patients admitted to medical floors at an accredited oncology centre in Jordan. CONCLUSION: The complexity of nursing care for oncology patients can be inferred from the high number of reported nursing diagnoses. This study summarises the most common nursing diagnoses and their combinations that can be used as a guide to formulate nursing care plans for oncology patients in medical units. IMPLICATIONS FOR NURSING PRACTICE: Oncology nurses may refer to this study to guide and support their care and documentations to maintain a high standard of nursing practice. Besides, the reported diagnoses can be integrated to generate pre-printed, standardised nursing care plans, where diagnoses are listed for nurses to select the applicable ones for their patients. Similarly, the combinations of nursing diagnoses may guide nurses to search for a concurrent diagnosis, thus improving patients’ outcomes. This study revealed the complexity of patients’ care in medical oncology units, which alarms the nursing managers to reconsider the nurse–patient ratio in these settings to meet patients’ care demands and maintain their safety.
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spelling pubmed-87237472022-01-18 Nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records Othman, Elham H Alosta, Mohammad R Alshraideh, Jafar Alasad Al Muhaisen, Shahd Ecancermedicalscience Research OBJECTIVE: Nursing care plans for oncology patients are complex and overlapping enough to warrant the need for systematised documentation that ensures high quality, flawless and comprehensive care. Addressing the patients’ needs through nursing diagnoses is the initial step that shapes the subsequent care. Therefore, the current study aimed to identify the frequent NANDA-I diagnoses reported in nursing care plans for medical oncology patients. DATA SOURCES: A retrospective design was used to collect data from 260 electronic nursing care records of oncology patients admitted to medical floors at an accredited oncology centre in Jordan. CONCLUSION: The complexity of nursing care for oncology patients can be inferred from the high number of reported nursing diagnoses. This study summarises the most common nursing diagnoses and their combinations that can be used as a guide to formulate nursing care plans for oncology patients in medical units. IMPLICATIONS FOR NURSING PRACTICE: Oncology nurses may refer to this study to guide and support their care and documentations to maintain a high standard of nursing practice. Besides, the reported diagnoses can be integrated to generate pre-printed, standardised nursing care plans, where diagnoses are listed for nurses to select the applicable ones for their patients. Similarly, the combinations of nursing diagnoses may guide nurses to search for a concurrent diagnosis, thus improving patients’ outcomes. This study revealed the complexity of patients’ care in medical oncology units, which alarms the nursing managers to reconsider the nurse–patient ratio in these settings to meet patients’ care demands and maintain their safety. Cancer Intelligence 2021-11-04 /pmc/articles/PMC8723747/ /pubmed/35047066 http://dx.doi.org/10.3332/ecancer.2021.1315 Text en © the authors; licensee ecancermedicalscience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Othman, Elham H
Alosta, Mohammad R
Alshraideh, Jafar Alasad
Al Muhaisen, Shahd
Nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records
title Nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records
title_full Nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records
title_fullStr Nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records
title_full_unstemmed Nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records
title_short Nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records
title_sort nursing diagnoses among oncology patients in medical units: a retrospective study of patients’ records
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723747/
https://www.ncbi.nlm.nih.gov/pubmed/35047066
http://dx.doi.org/10.3332/ecancer.2021.1315
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