Nurses' experiences of managing patient deterioration following a post-registration education programme: A critical incident analysis study.

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Title: Nurses' experiences of managing patient deterioration following a post-registration education programme: A critical incident analysis study.
Authors: Butler, Clare1 c.butler@brookes.ac.uk
Source: Nurse Education in Practice. Jan2018, Vol. 28, p96-102. 7p.
Subject Terms: *Clinical competence, *Experiential learning, *Nursing education, *Qualitative research, Nursing, Nursing assessment, Work, Narratives, Thematic analysis
Abstract: The aim of this study was to explore nurses' experiences assessing and managing deteriorating patients in practice following completion of a relevant post-registration education programme. Recognising the increasing acuity of ward patients, nurses are faced with patients who are at an increased risk of deterioration. Patients who are acutely ill or deteriorating often exhibit periods of physiological deterioration; however there is evidence illustrating that these clinical changes are frequently missed, misinterpreted or mismanaged in practice. In order to prepare nurses to competently assess and manage the deteriorating patient, education as a care initiative is offered to develop the knowledge and skills required. A qualitative study using critical incident analysis was conducted to acquire narrative data from nurses, describing their clinical practice experiences of patient deterioration. Thematic analysis was used to analyse the data. Findings revealed improvements in nurses' abilities to recognise patient deterioration, greater application of the evidence base and an increase in confidence and assertiveness. There was some evidence of applying the knowledge and skills learned, however equally some nurses indicated that they remained ill-prepared to apply the skills in practice. [ABSTRACT FROM AUTHOR]
Copyright of Nurse Education in Practice is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: The aim of this study was to explore nurses' experiences assessing and managing deteriorating patients in practice following completion of a relevant post-registration education programme. Recognising the increasing acuity of ward patients, nurses are faced with patients who are at an increased risk of deterioration. Patients who are acutely ill or deteriorating often exhibit periods of physiological deterioration; however there is evidence illustrating that these clinical changes are frequently missed, misinterpreted or mismanaged in practice. In order to prepare nurses to competently assess and manage the deteriorating patient, education as a care initiative is offered to develop the knowledge and skills required. A qualitative study using critical incident analysis was conducted to acquire narrative data from nurses, describing their clinical practice experiences of patient deterioration. Thematic analysis was used to analyse the data. Findings revealed improvements in nurses' abilities to recognise patient deterioration, greater application of the evidence base and an increase in confidence and assertiveness. There was some evidence of applying the knowledge and skills learned, however equally some nurses indicated that they remained ill-prepared to apply the skills in practice. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nurse Education in Practice is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jan2018
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