Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.

Detalhes bibliográficos
Autor(a) principal: Cunha, Lara Daniela Matos
Data de Publicação: 2022
Outros Autores: Santos, Márcia Noélia Pestana dos, Lomba, Maria de Lurdes Lopes de Freitas, Santos, Margarida Reis
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/info:doi:https://doi.org/10.26550/2209-1092.1182
Resumo: Problem identification: Post-anaesthesia nursing plays an important role in the early detection and treatment of clinical deterioration after surgery and/or anaesthesia. Concomitantly, the effectiveness of post-operative care is highly dependent on the accurate analysis, synthesis of patient data and quality of diagnostic decisions through clinical reasoning. Given the dynamic processes required to come to a diagnosis, uncertainty is common in clinical reasoning and expected during practice. Nevertheless, uncertainty may permeate the foundations of clinical reasoning, which can jeopardise diagnostic accuracy and consequently the quality and safety of health care. Literature search: The objectives of this review are to identify available evidence related to uncertainty in post-anaesthesia nursing clinical reasoning and to analyse the results from the perspective of the Model of Uncertainty in Complex Healthcare Settings (MUCH-S). A comprehensive search strategy using CINAHL (EBSCO), Cochrane Library (EBSCO), Medline (PubMed), ProQuest and Google Scholar databases was used to find published and unpublished relevant studies. Studies published in English and Portuguese were included. There was no temporal restriction, nor geographical or cultural limitation for the studies included. Data evaluation synthesis: All papers were reviewed by the authors to extract key information about purpose, sample and setting, research design and method, key findings and limitations. The literature search identified a total of 248 studies, 22 of which were retrieved for full reading. A total of four articles were included in this review. Implications for practice: Three main themes were identified: nurses' intuition to reason, feelings of uncertainty related to lack of nursing knowledge and clinical (in)experience to deal with uncertainty. These findings are encompassed within the MUCH-S taxonomy: personal, scientific and practical. This review offers post-anaesthesia nurses' greater levels of understanding of this phenomenon and may support more informed and reflexive clinical reasoning.
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spelling Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.clinical reasoningpatient safetypost-anaesthesia nursingpostoperative careuncertaintyProblem identification: Post-anaesthesia nursing plays an important role in the early detection and treatment of clinical deterioration after surgery and/or anaesthesia. Concomitantly, the effectiveness of post-operative care is highly dependent on the accurate analysis, synthesis of patient data and quality of diagnostic decisions through clinical reasoning. Given the dynamic processes required to come to a diagnosis, uncertainty is common in clinical reasoning and expected during practice. Nevertheless, uncertainty may permeate the foundations of clinical reasoning, which can jeopardise diagnostic accuracy and consequently the quality and safety of health care. Literature search: The objectives of this review are to identify available evidence related to uncertainty in post-anaesthesia nursing clinical reasoning and to analyse the results from the perspective of the Model of Uncertainty in Complex Healthcare Settings (MUCH-S). A comprehensive search strategy using CINAHL (EBSCO), Cochrane Library (EBSCO), Medline (PubMed), ProQuest and Google Scholar databases was used to find published and unpublished relevant studies. Studies published in English and Portuguese were included. There was no temporal restriction, nor geographical or cultural limitation for the studies included. Data evaluation synthesis: All papers were reviewed by the authors to extract key information about purpose, sample and setting, research design and method, key findings and limitations. The literature search identified a total of 248 studies, 22 of which were retrieved for full reading. A total of four articles were included in this review. Implications for practice: Three main themes were identified: nurses' intuition to reason, feelings of uncertainty related to lack of nursing knowledge and clinical (in)experience to deal with uncertainty. These findings are encompassed within the MUCH-S taxonomy: personal, scientific and practical. This review offers post-anaesthesia nurses' greater levels of understanding of this phenomenon and may support more informed and reflexive clinical reasoning.2022-05-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://doi.org/info:doi:https://doi.org/10.26550/2209-1092.1182https://doi.org/info:doi:https://doi.org/10.26550/2209-1092.1182enghttp://web.esenfc.pt/?url=W0WY5IAsCunha, Lara Daniela MatosSantos, Márcia Noélia Pestana dosLomba, Maria de Lurdes Lopes de FreitasSantos, Margarida Reisinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-04T00:00:00Zoai:repositorio.esenfc.pt:12698Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:13:20.347169Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.
title Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.
spellingShingle Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.
Cunha, Lara Daniela Matos
clinical reasoning
patient safety
post-anaesthesia nursing
postoperative care
uncertainty
title_short Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.
title_full Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.
title_fullStr Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.
title_full_unstemmed Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.
title_sort Uncertainty in Post-anaesthesia Nursing Clinical Reasoning: an integrative review in the light of the Model of Uncertainty in Complex Healthcare Settings.
author Cunha, Lara Daniela Matos
author_facet Cunha, Lara Daniela Matos
Santos, Márcia Noélia Pestana dos
Lomba, Maria de Lurdes Lopes de Freitas
Santos, Margarida Reis
author_role author
author2 Santos, Márcia Noélia Pestana dos
Lomba, Maria de Lurdes Lopes de Freitas
Santos, Margarida Reis
author2_role author
author
author
dc.contributor.author.fl_str_mv Cunha, Lara Daniela Matos
Santos, Márcia Noélia Pestana dos
Lomba, Maria de Lurdes Lopes de Freitas
Santos, Margarida Reis
dc.subject.por.fl_str_mv clinical reasoning
patient safety
post-anaesthesia nursing
postoperative care
uncertainty
topic clinical reasoning
patient safety
post-anaesthesia nursing
postoperative care
uncertainty
description Problem identification: Post-anaesthesia nursing plays an important role in the early detection and treatment of clinical deterioration after surgery and/or anaesthesia. Concomitantly, the effectiveness of post-operative care is highly dependent on the accurate analysis, synthesis of patient data and quality of diagnostic decisions through clinical reasoning. Given the dynamic processes required to come to a diagnosis, uncertainty is common in clinical reasoning and expected during practice. Nevertheless, uncertainty may permeate the foundations of clinical reasoning, which can jeopardise diagnostic accuracy and consequently the quality and safety of health care. Literature search: The objectives of this review are to identify available evidence related to uncertainty in post-anaesthesia nursing clinical reasoning and to analyse the results from the perspective of the Model of Uncertainty in Complex Healthcare Settings (MUCH-S). A comprehensive search strategy using CINAHL (EBSCO), Cochrane Library (EBSCO), Medline (PubMed), ProQuest and Google Scholar databases was used to find published and unpublished relevant studies. Studies published in English and Portuguese were included. There was no temporal restriction, nor geographical or cultural limitation for the studies included. Data evaluation synthesis: All papers were reviewed by the authors to extract key information about purpose, sample and setting, research design and method, key findings and limitations. The literature search identified a total of 248 studies, 22 of which were retrieved for full reading. A total of four articles were included in this review. Implications for practice: Three main themes were identified: nurses' intuition to reason, feelings of uncertainty related to lack of nursing knowledge and clinical (in)experience to deal with uncertainty. These findings are encompassed within the MUCH-S taxonomy: personal, scientific and practical. This review offers post-anaesthesia nurses' greater levels of understanding of this phenomenon and may support more informed and reflexive clinical reasoning.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-27
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