Has My Patient Responded?: Interpreting Clinical Measurements such as the Six Minute Walk Test

To correctly interpret clinical measurements it is necessary to understand the standard deviation and the standard error; the former reflects the range or variability of individuals within a sample and the latter reflects the precision for which the group parameters have been estimated. When evaluat...

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Main Authors: Dolmage, T., Hill, Kylie, Evans, R., Goldstein, R.
Format: Journal Article
Published: Stanford University 2011
Online Access:http://hdl.handle.net/20.500.11937/14062
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author Dolmage, T.
Hill, Kylie
Evans, R.
Goldstein, R.
author_facet Dolmage, T.
Hill, Kylie
Evans, R.
Goldstein, R.
author_sort Dolmage, T.
building Curtin Institutional Repository
collection Online Access
description To correctly interpret clinical measurements it is necessary to understand the standard deviation and the standard error; the former reflects the range or variability of individuals within a sample and the latter reflects the precision for which the group parameters have been estimated. When evaluating an individual patient, test measurement properties such as repeatability will assist in concluding whether a repeated test, measured to monitor the response to an intervention, has changed beyond its natural variability. Using the “best” test has an inherent bias and ignores the natural test variation, whereas the average of repeated tests is more representative of the true value, making it more discriminative to change. Serial measurements to follow progress will increase a clinician's confidence in the observed effects of treatment.
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publishDate 2011
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spelling curtin-20.500.11937-140622017-09-13T16:07:46Z Has My Patient Responded?: Interpreting Clinical Measurements such as the Six Minute Walk Test Dolmage, T. Hill, Kylie Evans, R. Goldstein, R. To correctly interpret clinical measurements it is necessary to understand the standard deviation and the standard error; the former reflects the range or variability of individuals within a sample and the latter reflects the precision for which the group parameters have been estimated. When evaluating an individual patient, test measurement properties such as repeatability will assist in concluding whether a repeated test, measured to monitor the response to an intervention, has changed beyond its natural variability. Using the “best” test has an inherent bias and ignores the natural test variation, whereas the average of repeated tests is more representative of the true value, making it more discriminative to change. Serial measurements to follow progress will increase a clinician's confidence in the observed effects of treatment. 2011 Journal Article http://hdl.handle.net/20.500.11937/14062 10.1164/rccm.201103-0497CC Stanford University restricted
spellingShingle Dolmage, T.
Hill, Kylie
Evans, R.
Goldstein, R.
Has My Patient Responded?: Interpreting Clinical Measurements such as the Six Minute Walk Test
title Has My Patient Responded?: Interpreting Clinical Measurements such as the Six Minute Walk Test
title_full Has My Patient Responded?: Interpreting Clinical Measurements such as the Six Minute Walk Test
title_fullStr Has My Patient Responded?: Interpreting Clinical Measurements such as the Six Minute Walk Test
title_full_unstemmed Has My Patient Responded?: Interpreting Clinical Measurements such as the Six Minute Walk Test
title_short Has My Patient Responded?: Interpreting Clinical Measurements such as the Six Minute Walk Test
title_sort has my patient responded?: interpreting clinical measurements such as the six minute walk test
url http://hdl.handle.net/20.500.11937/14062