Mobility levels of acute medical patients: Is behavioural mapping comparable to accelerometry?
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| Title: | Mobility levels of acute medical patients: Is behavioural mapping comparable to accelerometry? |
|---|---|
| Authors: | Wu, Yizhou, Smits, Esther J, Window, Peter, Beningfield, Alice, Johnston, Venerina, McRae, Prue |
| Source: | Clinical Rehabilitation. Apr2021, Vol. 35 Issue 4, p595-605. 11p. |
| Subjects: | Hospital patients, Scientific observation, Cross-sectional method, Behavior, Tertiary care, Accelerometry, Physical mobility, Critical care medicine, Descriptive statistics, Data analysis software, Acute diseases |
| Geographic Terms: | Australia |
| Abstract: | Objective: To (1) determine agreement between behavioural mapping and accelerometry for measuring mobility levels in an acute medical inpatient setting and to (2) explore and compare the required resources and costs for both methods. Design: Observational cross-sectional study Setting: Tertiary referral teaching hospital in Brisbane, Australia. Subjects: Adult patients admitted to two acute medical wards. Main measures: Mobility levels were recorded by behavioural mapping, and thigh and chest-worn accelerometers (ActivPAL). The level of agreement between the two methods was evaluated using the Intraclass Correlation Coefficients for each mobility level (i.e. lying, sitting, upright, standing and walking). Results: Nineteen patients (10 male (53%); mean(SD) age of 72(14) years) were included in the agreement analysis. The Intraclass Correlation Coefficients were high for 'lying' (ICC = 0.87), 'sitting' (ICC = 0.84) and 'upright' (ICC = 0.93), indicating good to excellent agreement between the two methods. For these mobility levels, mean differences between the two methods were small (<2%), with large standard deviations (up to 18%). Agreement was poor for 'standing' (ICC = 0.00) and 'walking' (ICC = 0.35). Both methods were labour-intensive, with labour costs of A$1,285/€798 (34 hours) for behavioural mapping and A$1,055/€655 (28 hours) for accelerometry. No further costs were involved in behavioural mapping, but clinical backfill was required. Accelerometry involved a financial investment for accelerometers (A$11,100/€6,894 for 22 ActivPAL devices). Conclusion: Agreement between behavioural mapping and accelerometry was good for measuring 'lying', 'sitting' and 'upright', but poor for 'standing' and 'walking' in an acute inpatient setting. Both behavioural mapping and accelerometry were labour-intensive, with high costs for the accelerometry equipment. [ABSTRACT FROM AUTHOR] |
| Copyright of Clinical Rehabilitation is the property of Sage Publications Inc. 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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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 149706459 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mobility levels of acute medical patients: Is behavioural mapping comparable to accelerometry? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wu%2C+Yizhou%22">Wu, Yizhou</searchLink><br /><searchLink fieldCode="AR" term="%22Smits%2C+Esther+J%22">Smits, Esther J</searchLink><br /><searchLink fieldCode="AR" term="%22Window%2C+Peter%22">Window, Peter</searchLink><br /><searchLink fieldCode="AR" term="%22Beningfield%2C+Alice%22">Beningfield, Alice</searchLink><br /><searchLink fieldCode="AR" term="%22Johnston%2C+Venerina%22">Johnston, Venerina</searchLink><br /><searchLink fieldCode="AR" term="%22McRae%2C+Prue%22">McRae, Prue</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Clinical+Rehabilitation%22">Clinical Rehabilitation</searchLink>. Apr2021, Vol. 35 Issue 4, p595-605. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hospital+patients%22">Hospital patients</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+observation%22">Scientific observation</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior%22">Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Tertiary+care%22">Tertiary care</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerometry%22">Accelerometry</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+mobility%22">Physical mobility</searchLink><br /><searchLink fieldCode="DE" term="%22Critical+care+medicine%22">Critical care medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Acute+diseases%22">Acute diseases</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objective: To (1) determine agreement between behavioural mapping and accelerometry for measuring mobility levels in an acute medical inpatient setting and to (2) explore and compare the required resources and costs for both methods. Design: Observational cross-sectional study Setting: Tertiary referral teaching hospital in Brisbane, Australia. Subjects: Adult patients admitted to two acute medical wards. Main measures: Mobility levels were recorded by behavioural mapping, and thigh and chest-worn accelerometers (ActivPAL). The level of agreement between the two methods was evaluated using the Intraclass Correlation Coefficients for each mobility level (i.e. lying, sitting, upright, standing and walking). Results: Nineteen patients (10 male (53%); mean(SD) age of 72(14) years) were included in the agreement analysis. The Intraclass Correlation Coefficients were high for 'lying' (ICC = 0.87), 'sitting' (ICC = 0.84) and 'upright' (ICC = 0.93), indicating good to excellent agreement between the two methods. For these mobility levels, mean differences between the two methods were small (<2%), with large standard deviations (up to 18%). Agreement was poor for 'standing' (ICC = 0.00) and 'walking' (ICC = 0.35). Both methods were labour-intensive, with labour costs of A$1,285/€798 (34 hours) for behavioural mapping and A$1,055/€655 (28 hours) for accelerometry. No further costs were involved in behavioural mapping, but clinical backfill was required. Accelerometry involved a financial investment for accelerometers (A$11,100/€6,894 for 22 ActivPAL devices). Conclusion: Agreement between behavioural mapping and accelerometry was good for measuring 'lying', 'sitting' and 'upright', but poor for 'standing' and 'walking' in an acute inpatient setting. Both behavioural mapping and accelerometry were labour-intensive, with high costs for the accelerometry equipment. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Clinical Rehabilitation is the property of Sage Publications Inc. 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/0269215520970341 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 595 Subjects: – SubjectFull: Hospital patients Type: general – SubjectFull: Scientific observation Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Behavior Type: general – SubjectFull: Tertiary care Type: general – SubjectFull: Accelerometry Type: general – SubjectFull: Physical mobility Type: general – SubjectFull: Critical care medicine Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Acute diseases Type: general – SubjectFull: Australia Type: general Titles: – TitleFull: Mobility levels of acute medical patients: Is behavioural mapping comparable to accelerometry? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu, Yizhou – PersonEntity: Name: NameFull: Smits, Esther J – PersonEntity: Name: NameFull: Window, Peter – PersonEntity: Name: NameFull: Beningfield, Alice – PersonEntity: Name: NameFull: Johnston, Venerina – PersonEntity: Name: NameFull: McRae, Prue IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 02692155 Numbering: – Type: volume Value: 35 – Type: issue Value: 4 Titles: – TitleFull: Clinical Rehabilitation Type: main |
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