Views of physiatrists and physical therapists on the use of gait-training robots for stroke patients
Identifieur interne : 004032 ( Ncbi/Checkpoint ); précédent : 004031; suivant : 004033Views of physiatrists and physical therapists on the use of gait-training robots for stroke patients
Auteurs : Chang Gu Kang ; Min Ho Chun ; Min Cheol Chang ; Won Kim ; Kyung Hee DoSource :
- Journal of Physical Therapy Science [ 0915-5287 ] ; 2016.
Abstract
[Purpose] Gait-training robots have been developed for stroke patients with gait disturbance. It is important to survey the views of physiatrists and physical therapists on the characteristics of these devices during their development. [Subjects and Methods] A total of 100 physiatrists and 100 physical therapists from 38 hospitals participated in our questionnaire survey. [Results] The most common answers about the merits of gait-training robots concern improving the treatment effects (28.5%), followed by standardizing treatment (19%), motivating patients about treatment (17%), and improving patients’ self-esteem (14%). The subacute period (1–3 months post-stroke onset) was most often chosen as the ideal period (47.3%) for the use of these devices, and a functional ambulation classification of 0–2 was the most selected response for the optimal patient status (27%). The preferred model was the treadmill type (47.5%) over the overground walking type (40%). The most favored commercial price was $50,000–$100,000 (38.3%). The most selected optimal duration for robot-assisted gait therapy was 30–45 min (47%), followed by 15–30 min (29%), 45–60 min (18%), ≥ 60 min (5%), and < 15 min (1%). [Conclusion] Our study findings could guide the future designs of more effective gait-training robots for stroke patients.
Url:
DOI: 10.1589/jpts.28.202
PubMed: 26957758
PubMed Central: 4756004
Affiliations:
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robots for stroke patients</title><author><name sortKey="Kang, Chang Gu" sort="Kang, Chang Gu" uniqKey="Kang C" first="Chang Gu" last="Kang">Chang Gu Kang</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author><author><name sortKey="Chun, Min Ho" sort="Chun, Min Ho" uniqKey="Chun M" first="Min Ho" last="Chun">Min Ho Chun</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author><author><name sortKey="Chang, Min Cheol" sort="Chang, Min Cheol" uniqKey="Chang M" first="Min Cheol" last="Chang">Min Cheol Chang</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author><author><name sortKey="Kim, Won" sort="Kim, Won" uniqKey="Kim W" first="Won" last="Kim">Won Kim</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author><author><name sortKey="Hee Do, Kyung" sort="Hee Do, Kyung" uniqKey="Hee Do K" first="Kyung" last="Hee Do">Kyung Hee Do</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26957758</idno><idno type="pmc">4756004</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756004</idno><idno type="RBID">PMC:4756004</idno><idno type="doi">10.1589/jpts.28.202</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">000516</idno><idno type="wicri:Area/Pmc/Curation">000516</idno><idno type="wicri:Area/Pmc/Checkpoint">000006</idno><idno type="wicri:Area/Ncbi/Merge">004032</idno><idno type="wicri:Area/Ncbi/Curation">004032</idno><idno type="wicri:Area/Ncbi/Checkpoint">004032</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Views of physiatrists and physical therapists on the use of gait-training
robots for stroke patients</title><author><name sortKey="Kang, Chang Gu" sort="Kang, Chang Gu" uniqKey="Kang C" first="Chang Gu" last="Kang">Chang Gu Kang</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author><author><name sortKey="Chun, Min Ho" sort="Chun, Min Ho" uniqKey="Chun M" first="Min Ho" last="Chun">Min Ho Chun</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author><author><name sortKey="Chang, Min Cheol" sort="Chang, Min Cheol" uniqKey="Chang M" first="Min Cheol" last="Chang">Min Cheol Chang</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author><author><name sortKey="Kim, Won" sort="Kim, Won" uniqKey="Kim W" first="Won" last="Kim">Won Kim</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author><author><name sortKey="Hee Do, Kyung" sort="Hee Do, Kyung" uniqKey="Hee Do K" first="Kyung" last="Hee Do">Kyung Hee Do</name><affiliation><nlm:aff>NONE</nlm:aff></affiliation></author></analytic><series><title level="j">Journal of Physical Therapy Science</title><idno type="ISSN">0915-5287</idno><idno type="eISSN">2187-5626</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>[Purpose] Gait-training robots have been developed for stroke patients with gait
disturbance. It is important to survey the views of physiatrists and physical therapists
on the characteristics of these devices during their development. [Subjects and Methods] A
total of 100 physiatrists and 100 physical therapists from 38 hospitals participated in
our questionnaire survey. [Results] The most common answers about the merits of
gait-training robots concern improving the treatment effects (28.5%), followed by
standardizing treatment (19%), motivating patients about treatment (17%), and improving
patients’ self-esteem (14%). The subacute period (1–3 months post-stroke onset) was most
often chosen as the ideal period (47.3%) for the use of these devices, and a functional
ambulation classification of 0–2 was the most selected response for the optimal patient
status (27%). The preferred model was the treadmill type (47.5%) over the overground
walking type (40%). The most favored commercial price was $50,000–$100,000 (38.3%). The
most selected optimal duration for robot-assisted gait therapy was 30–45 min (47%),
followed by 15–30 min (29%), 45–60 min (18%), ≥ 60 min (5%), and < 15 min (1%).
[Conclusion] Our study findings could guide the future designs of more effective
gait-training robots for stroke patients.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Mauritz, Kh" uniqKey="Mauritz K">KH Mauritz</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="You, Yy" uniqKey="You Y">YY You</name></author><author><name sortKey="Chung, Sh" uniqKey="Chung S">SH Chung</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="J Rgensen, Hs" uniqKey="J Rgensen H">HS Jørgensen</name></author><author><name sortKey="Nakayama, H" uniqKey="Nakayama H">H Nakayama</name></author><author><name sortKey="Raaschou, Ho" uniqKey="Raaschou H">HO Raaschou</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Cho, Kh" uniqKey="Cho K">KH Cho</name></author><author><name sortKey="Lee, Jy" uniqKey="Lee J">JY Lee</name></author><author><name sortKey="Lee, Kj" uniqKey="Lee K">KJ 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Chun</name><name sortKey="Hee Do, Kyung" sort="Hee Do, Kyung" uniqKey="Hee Do K" first="Kyung" last="Hee Do">Kyung Hee Do</name><name sortKey="Kang, Chang Gu" sort="Kang, Chang Gu" uniqKey="Kang C" first="Chang Gu" last="Kang">Chang Gu Kang</name><name sortKey="Kim, Won" sort="Kim, Won" uniqKey="Kim W" first="Won" last="Kim">Won Kim</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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