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A checklist-based survey for early mobilization of stroke unit patients in an Italian region.

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Title: A checklist-based survey for early mobilization of stroke unit patients in an Italian region.
Authors: Rota, Eugenia (AUTHOR), Bongioanni, Maria Roberta (AUTHOR), Labate, Carmelo (AUTHOR), Rabagliati, Claudio (AUTHOR), on the behalf of the "Piedmontese Stroke Network" (AUTHOR), Cerrato, Paolo (AUTHOR), Rosso, Mara (AUTHOR), Bono, Valentina (AUTHOR), Zurlo, Francesco (AUTHOR), Maulini, Lara (AUTHOR), Bruzzone, Gianluca (AUTHOR), Debenedetti, Claudia (AUTHOR), Ruiz, Luigi (AUTHOR), Ferrandi, Delfina (AUTHOR), Zoccola, Federica (AUTHOR), Bosone, Ivana (AUTHOR), Anna, Bifani (AUTHOR), Sciolla, Rossella (AUTHOR), Gallo, Eleonora (AUTHOR), Amaru, Salvatore (AUTHOR)
Source: Neurological Sciences. Apr2023, Vol. 44 Issue 4, p1251-1259. 9p. 1 Black and White Photograph, 2 Charts.
Subjects: Stroke patients, Simulated patients, Stroke units, Risk assessment, Cerebrovascular disease, Stroke, Pressure ulcers
Geographic Terms: Piedmont (Italy), Italy
Abstract: Background: Although early mobilization (EM) is recommended by most guidelines in acute stroke patients, there is a paucity of tools to perform a standardized patient risk assessment prior to EM in stroke units (SUs). Objective: This survey aimed at assessing (1) the usefulness of an ad hoc checklist for a standardized approach to EM in SUs and (2) the relationship between EM achieved by this checklist and SU characteristics. Methods: This survey was carried out in 10 SUs in Piedmont, Italy. The EM checklist was based on 15 "items", including quantitative/qualitative, clinical and management features. Results: A total of 250 completed checklists were assessed. EM, defined as out-of-bed activity within 72 h of admission, was reached by 174 patients (69.6%), according to the checklist. There was a statistically significant association between the admission NIHSS score and EM. Hypotension at mobilization was observed in 29/250 patients (11.6%) and was significantly associated with EM. A total of 6 falls (2.4%) were reported. Nurses were most frequently involved in EM, either alone (40.8%) or with another professional. Conclusion: A large percentage of acute stroke patients managed to achieve a safe EM in the SUs that adopted the novel checklist. These results suggest that this checklist may well be a user-friendly, reliable tool to assist SU professionals in deciding whether to mobilize or not, by means of a standardized approach. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature 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: Psychology and Behavioral Sciences Collection
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  Data: A checklist-based survey for early mobilization of stroke unit patients in an Italian region.
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  Data: <searchLink fieldCode="AR" term="%22Rota%2C+Eugenia%22">Rota, Eugenia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bongioanni%2C+Maria+Roberta%22">Bongioanni, Maria Roberta</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Labate%2C+Carmelo%22">Labate, Carmelo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rabagliati%2C+Claudio%22">Rabagliati, Claudio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22on+the+behalf+of+the+"Piedmontese+Stroke+Network"%22">on the behalf of the "Piedmontese Stroke Network"</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cerrato%2C+Paolo%22">Cerrato, Paolo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rosso%2C+Mara%22">Rosso, Mara</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bono%2C+Valentina%22">Bono, Valentina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zurlo%2C+Francesco%22">Zurlo, Francesco</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Maulini%2C+Lara%22">Maulini, Lara</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bruzzone%2C+Gianluca%22">Bruzzone, Gianluca</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Debenedetti%2C+Claudia%22">Debenedetti, Claudia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ruiz%2C+Luigi%22">Ruiz, Luigi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ferrandi%2C+Delfina%22">Ferrandi, Delfina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zoccola%2C+Federica%22">Zoccola, Federica</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bosone%2C+Ivana%22">Bosone, Ivana</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anna%2C+Bifani%22">Anna, Bifani</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sciolla%2C+Rossella%22">Sciolla, Rossella</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gallo%2C+Eleonora%22">Gallo, Eleonora</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Amaru%2C+Salvatore%22">Amaru, Salvatore</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Apr2023, Vol. 44 Issue 4, p1251-1259. 9p. 1 Black and White Photograph, 2 Charts.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Stroke+patients%22">Stroke patients</searchLink><br /><searchLink fieldCode="DE" term="%22Simulated+patients%22">Simulated patients</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke+units%22">Stroke units</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Cerebrovascular+disease%22">Cerebrovascular disease</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke%22">Stroke</searchLink><br /><searchLink fieldCode="DE" term="%22Pressure+ulcers%22">Pressure ulcers</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Piedmont+%28Italy%29%22">Piedmont (Italy)</searchLink><br /><searchLink fieldCode="DE" term="%22Italy%22">Italy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Although early mobilization (EM) is recommended by most guidelines in acute stroke patients, there is a paucity of tools to perform a standardized patient risk assessment prior to EM in stroke units (SUs). Objective: This survey aimed at assessing (1) the usefulness of an ad hoc checklist for a standardized approach to EM in SUs and (2) the relationship between EM achieved by this checklist and SU characteristics. Methods: This survey was carried out in 10 SUs in Piedmont, Italy. The EM checklist was based on 15 "items", including quantitative/qualitative, clinical and management features. Results: A total of 250 completed checklists were assessed. EM, defined as out-of-bed activity within 72 h of admission, was reached by 174 patients (69.6%), according to the checklist. There was a statistically significant association between the admission NIHSS score and EM. Hypotension at mobilization was observed in 29/250 patients (11.6%) and was significantly associated with EM. A total of 6 falls (2.4%) were reported. Nurses were most frequently involved in EM, either alone (40.8%) or with another professional. Conclusion: A large percentage of acute stroke patients managed to achieve a safe EM in the SUs that adopted the novel checklist. These results suggest that this checklist may well be a user-friendly, reliable tool to assist SU professionals in deciding whether to mobilize or not, by means of a standardized approach. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature 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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        Value: 10.1007/s10072-022-06509-7
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