Item Hierarchy–Based Analysis of the Rivermead Mobility Index Resulted in Improved Interpretation and Enabled Faster Scoring in Patients Undergoing Rehabilitation After Stroke
Abstract Roorda LD, Green JR, Houwink A, Bagley PJ, Smith J, Molenaar IW, Geurts AC. Item hierarchy – based analysis of the Rivermead Mobility Index resulted in improved interpretation and enabled faster scoring in patients undergoing rehabilitation after stroke. Objective To enable improved interpr...
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| Veröffentlicht in: | Archives of physical medicine and rehabilitation 2012-06, Vol.93 (6), p.1091-1096 |
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| creator | Roorda, Leo D., MD, PT, PhD Green, John R., MCSP, PhD Houwink, Annemieke, PT, MSc Bagley, Pam J., MCSP, PhD Smith, Jane, RN, PhD Molenaar, Ivo W., PhD Geurts, Alexander C., MD, PhD |
| description | Abstract Roorda LD, Green JR, Houwink A, Bagley PJ, Smith J, Molenaar IW, Geurts AC. Item hierarchy – based analysis of the Rivermead Mobility Index resulted in improved interpretation and enabled faster scoring in patients undergoing rehabilitation after stroke. Objective To enable improved interpretation of the total score and faster scoring of the Rivermead Mobility Index (RMI) by studying item ordering or hierarchy and formulating start-and-stop rules in patients after stroke. Design Cohort study. Setting Rehabilitation center in the Netherlands; stroke rehabilitation units and the community in the United Kingdom. Participants Item hierarchy of the RMI was studied in an initial group of patients (n=620; mean age ± SD, 69.2±12.5y; 297 [48%] men; 304 [49%] left hemisphere lesion, and 269 [43%] right hemisphere lesion), and the adequacy of the item hierarchy – based start-and-stop rules was checked in a second group of patients (n=237; mean age ± SD, 60.0±11.3y; 139 [59%] men; 103 [44%] left hemisphere lesion, and 93 [39%] right hemisphere lesion) undergoing rehabilitation after stroke. Interventions Not applicable. Main Outcome Measures Mokken scale analysis was used to investigate the fit of the double monotonicity model, indicating hierarchical item ordering. The percentages of patients with a difference between the RMI total score and the scores based on the start-and-stop rules were calculated to check the adequacy of these rules. Results The RMI had good fit of the double monotonicity model (coefficient H T =.87). The interpretation of the total score improved. Item hierarchy – based start-and-stop rules were formulated. The percentages of patients with a difference between the RMI total score and the score based on the recommended start-and-stop rules were 3% and 5%, respectively. Ten of the original 15 items had to be scored after applying the start-and-stop rules. Conclusions Item hierarchy was established, enabling improved interpretation and faster scoring of the RMI. |
| doi_str_mv | 10.1016/j.apmr.2011.12.021 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1017615426</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0003999312000111</els_id><sourcerecordid>1017615426</sourcerecordid><originalsourceid>FETCH-LOGICAL-c441t-9df54a6fc82eec44f1940a4704cb1e9544578d39c26eae302ea46d5905b1b8053</originalsourceid><addsrcrecordid>eNp9ksFuEzEQhlcIREvhBTggX5C4JHi83k1WQkihammkIlBKJW6W1zvbON21U9uJyI134El4JZ6E2SaAxIGT7fH3z4z9T5Y9Bz4GDuXr1Viv-zAWHGAMYswFPMiOocjFaCrgy8PsmHOej6qqyo-yJzGu6FgWOTzOjoSQpZxIOM5-zBP27MJi0MEsdz-_fX-nIzZs5nS3izYy37K0RLawWww96oZ98LXtbNqxuWvwK1tg3HSJFNaxeb8Ofkv7uUsY1gGTTtY7pl3DzpyuO7o615Hu2JXxwbqbQfWJIHQpsmtKGG78EF7gUt-X2SeYtfeaFPwtPs0etbqL-OywnmTX52efTy9Glx_fz09nlyMjJaRR1bSF1GVrpgKRQi1Ukms54dLUgFUhZTGZNnllRIkacy5Qy7IpKl7UUE95kZ9kr_Z56U13G4xJ9TYa7Drt0G-iIgsmJRRSlISKPWqCjzFgq9bB9jrsCBq4Uq3UYJUarFIgFFlFoheH_Ju6x-aP5Lc3BLw8ADoa3bVBO2PjX66oCqgmQ6Nv9hzSb2zJSRUNfajBxgY0STXe_r-Pt__ITWedpYq3uMO48ptAs0DvVZEE6moYqmGmQNAOAPJfELTKvA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1017615426</pqid></control><display><type>article</type><title>Item Hierarchy–Based Analysis of the Rivermead Mobility Index Resulted in Improved Interpretation and Enabled Faster Scoring in Patients Undergoing Rehabilitation After Stroke</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Roorda, Leo D., MD, PT, PhD ; Green, John R., MCSP, PhD ; Houwink, Annemieke, PT, MSc ; Bagley, Pam J., MCSP, PhD ; Smith, Jane, RN, PhD ; Molenaar, Ivo W., PhD ; Geurts, Alexander C., MD, PhD</creator><creatorcontrib>Roorda, Leo D., MD, PT, PhD ; Green, John R., MCSP, PhD ; Houwink, Annemieke, PT, MSc ; Bagley, Pam J., MCSP, PhD ; Smith, Jane, RN, PhD ; Molenaar, Ivo W., PhD ; Geurts, Alexander C., MD, PhD</creatorcontrib><description>Abstract Roorda LD, Green JR, Houwink A, Bagley PJ, Smith J, Molenaar IW, Geurts AC. Item hierarchy – based analysis of the Rivermead Mobility Index resulted in improved interpretation and enabled faster scoring in patients undergoing rehabilitation after stroke. Objective To enable improved interpretation of the total score and faster scoring of the Rivermead Mobility Index (RMI) by studying item ordering or hierarchy and formulating start-and-stop rules in patients after stroke. Design Cohort study. Setting Rehabilitation center in the Netherlands; stroke rehabilitation units and the community in the United Kingdom. Participants Item hierarchy of the RMI was studied in an initial group of patients (n=620; mean age ± SD, 69.2±12.5y; 297 [48%] men; 304 [49%] left hemisphere lesion, and 269 [43%] right hemisphere lesion), and the adequacy of the item hierarchy – based start-and-stop rules was checked in a second group of patients (n=237; mean age ± SD, 60.0±11.3y; 139 [59%] men; 103 [44%] left hemisphere lesion, and 93 [39%] right hemisphere lesion) undergoing rehabilitation after stroke. Interventions Not applicable. Main Outcome Measures Mokken scale analysis was used to investigate the fit of the double monotonicity model, indicating hierarchical item ordering. The percentages of patients with a difference between the RMI total score and the scores based on the start-and-stop rules were calculated to check the adequacy of these rules. Results The RMI had good fit of the double monotonicity model (coefficient H T =.87). The interpretation of the total score improved. Item hierarchy – based start-and-stop rules were formulated. The percentages of patients with a difference between the RMI total score and the score based on the recommended start-and-stop rules were 3% and 5%, respectively. Ten of the original 15 items had to be scored after applying the start-and-stop rules. Conclusions Item hierarchy was established, enabling improved interpretation and faster scoring of the RMI.</description><identifier>ISSN: 0003-9993</identifier><identifier>EISSN: 1532-821X</identifier><identifier>DOI: 10.1016/j.apmr.2011.12.021</identifier><identifier>PMID: 22464741</identifier><identifier>CODEN: APMHAI</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Activities of Daily Living - classification ; Age Factors ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Cohort Studies ; Disability Evaluation ; Diseases of the osteoarticular system ; Female ; Humans ; Male ; Medical sciences ; Middle Aged ; Miscellaneous ; Miscellaneous. Osteoarticular involvement in other diseases ; Mobility Limitation ; Netherlands ; Neurology ; Outcome assessment (health care) ; Physical Medicine and Rehabilitation ; Prognosis ; Psychometrics ; Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) ; Recovery of Function ; Rehabilitation ; Rehabilitation Centers ; Risk Assessment ; Severity of Illness Index ; Sex Factors ; Socioeconomic Factors ; Stroke ; Stroke - diagnosis ; Stroke Rehabilitation ; Task Performance and Analysis ; Time Factors ; Vascular diseases and vascular malformations of the nervous system</subject><ispartof>Archives of physical medicine and rehabilitation, 2012-06, Vol.93 (6), p.1091-1096</ispartof><rights>American Congress of Rehabilitation Medicine</rights><rights>2012 American Congress of Rehabilitation Medicine</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-9df54a6fc82eec44f1940a4704cb1e9544578d39c26eae302ea46d5905b1b8053</citedby><cites>FETCH-LOGICAL-c441t-9df54a6fc82eec44f1940a4704cb1e9544578d39c26eae302ea46d5905b1b8053</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.apmr.2011.12.021$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25951975$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22464741$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roorda, Leo D., MD, PT, PhD</creatorcontrib><creatorcontrib>Green, John R., MCSP, PhD</creatorcontrib><creatorcontrib>Houwink, Annemieke, PT, MSc</creatorcontrib><creatorcontrib>Bagley, Pam J., MCSP, PhD</creatorcontrib><creatorcontrib>Smith, Jane, RN, PhD</creatorcontrib><creatorcontrib>Molenaar, Ivo W., PhD</creatorcontrib><creatorcontrib>Geurts, Alexander C., MD, PhD</creatorcontrib><title>Item Hierarchy–Based Analysis of the Rivermead Mobility Index Resulted in Improved Interpretation and Enabled Faster Scoring in Patients Undergoing Rehabilitation After Stroke</title><title>Archives of physical medicine and rehabilitation</title><addtitle>Arch Phys Med Rehabil</addtitle><description>Abstract Roorda LD, Green JR, Houwink A, Bagley PJ, Smith J, Molenaar IW, Geurts AC. Item hierarchy – based analysis of the Rivermead Mobility Index resulted in improved interpretation and enabled faster scoring in patients undergoing rehabilitation after stroke. Objective To enable improved interpretation of the total score and faster scoring of the Rivermead Mobility Index (RMI) by studying item ordering or hierarchy and formulating start-and-stop rules in patients after stroke. Design Cohort study. Setting Rehabilitation center in the Netherlands; stroke rehabilitation units and the community in the United Kingdom. Participants Item hierarchy of the RMI was studied in an initial group of patients (n=620; mean age ± SD, 69.2±12.5y; 297 [48%] men; 304 [49%] left hemisphere lesion, and 269 [43%] right hemisphere lesion), and the adequacy of the item hierarchy – based start-and-stop rules was checked in a second group of patients (n=237; mean age ± SD, 60.0±11.3y; 139 [59%] men; 103 [44%] left hemisphere lesion, and 93 [39%] right hemisphere lesion) undergoing rehabilitation after stroke. Interventions Not applicable. Main Outcome Measures Mokken scale analysis was used to investigate the fit of the double monotonicity model, indicating hierarchical item ordering. The percentages of patients with a difference between the RMI total score and the scores based on the start-and-stop rules were calculated to check the adequacy of these rules. Results The RMI had good fit of the double monotonicity model (coefficient H T =.87). The interpretation of the total score improved. Item hierarchy – based start-and-stop rules were formulated. The percentages of patients with a difference between the RMI total score and the score based on the recommended start-and-stop rules were 3% and 5%, respectively. Ten of the original 15 items had to be scored after applying the start-and-stop rules. Conclusions Item hierarchy was established, enabling improved interpretation and faster scoring of the RMI.</description><subject>Activities of Daily Living - classification</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Cohort Studies</subject><subject>Disability Evaluation</subject><subject>Diseases of the osteoarticular system</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Miscellaneous. Osteoarticular involvement in other diseases</subject><subject>Mobility Limitation</subject><subject>Netherlands</subject><subject>Neurology</subject><subject>Outcome assessment (health care)</subject><subject>Physical Medicine and Rehabilitation</subject><subject>Prognosis</subject><subject>Psychometrics</subject><subject>Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects)</subject><subject>Recovery of Function</subject><subject>Rehabilitation</subject><subject>Rehabilitation Centers</subject><subject>Risk Assessment</subject><subject>Severity of Illness Index</subject><subject>Sex Factors</subject><subject>Socioeconomic Factors</subject><subject>Stroke</subject><subject>Stroke - diagnosis</subject><subject>Stroke Rehabilitation</subject><subject>Task Performance and Analysis</subject><subject>Time Factors</subject><subject>Vascular diseases and vascular malformations of the nervous system</subject><issn>0003-9993</issn><issn>1532-821X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9ksFuEzEQhlcIREvhBTggX5C4JHi83k1WQkihammkIlBKJW6W1zvbON21U9uJyI134El4JZ6E2SaAxIGT7fH3z4z9T5Y9Bz4GDuXr1Viv-zAWHGAMYswFPMiOocjFaCrgy8PsmHOej6qqyo-yJzGu6FgWOTzOjoSQpZxIOM5-zBP27MJi0MEsdz-_fX-nIzZs5nS3izYy37K0RLawWww96oZ98LXtbNqxuWvwK1tg3HSJFNaxeb8Ofkv7uUsY1gGTTtY7pl3DzpyuO7o615Hu2JXxwbqbQfWJIHQpsmtKGG78EF7gUt-X2SeYtfeaFPwtPs0etbqL-OywnmTX52efTy9Glx_fz09nlyMjJaRR1bSF1GVrpgKRQi1Ukms54dLUgFUhZTGZNnllRIkacy5Qy7IpKl7UUE95kZ9kr_Z56U13G4xJ9TYa7Drt0G-iIgsmJRRSlISKPWqCjzFgq9bB9jrsCBq4Uq3UYJUarFIgFFlFoheH_Ju6x-aP5Lc3BLw8ADoa3bVBO2PjX66oCqgmQ6Nv9hzSb2zJSRUNfajBxgY0STXe_r-Pt__ITWedpYq3uMO48ptAs0DvVZEE6moYqmGmQNAOAPJfELTKvA</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Roorda, Leo D., MD, PT, PhD</creator><creator>Green, John R., MCSP, PhD</creator><creator>Houwink, Annemieke, PT, MSc</creator><creator>Bagley, Pam J., MCSP, PhD</creator><creator>Smith, Jane, RN, PhD</creator><creator>Molenaar, Ivo W., PhD</creator><creator>Geurts, Alexander C., MD, PhD</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20120601</creationdate><title>Item Hierarchy–Based Analysis of the Rivermead Mobility Index Resulted in Improved Interpretation and Enabled Faster Scoring in Patients Undergoing Rehabilitation After Stroke</title><author>Roorda, Leo D., MD, PT, PhD ; Green, John R., MCSP, PhD ; Houwink, Annemieke, PT, MSc ; Bagley, Pam J., MCSP, PhD ; Smith, Jane, RN, PhD ; Molenaar, Ivo W., PhD ; Geurts, Alexander C., MD, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-9df54a6fc82eec44f1940a4704cb1e9544578d39c26eae302ea46d5905b1b8053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Activities of Daily Living - classification</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Cohort Studies</topic><topic>Disability Evaluation</topic><topic>Diseases of the osteoarticular system</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Miscellaneous. Osteoarticular involvement in other diseases</topic><topic>Mobility Limitation</topic><topic>Netherlands</topic><topic>Neurology</topic><topic>Outcome assessment (health care)</topic><topic>Physical Medicine and Rehabilitation</topic><topic>Prognosis</topic><topic>Psychometrics</topic><topic>Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects)</topic><topic>Recovery of Function</topic><topic>Rehabilitation</topic><topic>Rehabilitation Centers</topic><topic>Risk Assessment</topic><topic>Severity of Illness Index</topic><topic>Sex Factors</topic><topic>Socioeconomic Factors</topic><topic>Stroke</topic><topic>Stroke - diagnosis</topic><topic>Stroke Rehabilitation</topic><topic>Task Performance and Analysis</topic><topic>Time Factors</topic><topic>Vascular diseases and vascular malformations of the nervous system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roorda, Leo D., MD, PT, PhD</creatorcontrib><creatorcontrib>Green, John R., MCSP, PhD</creatorcontrib><creatorcontrib>Houwink, Annemieke, PT, MSc</creatorcontrib><creatorcontrib>Bagley, Pam J., MCSP, PhD</creatorcontrib><creatorcontrib>Smith, Jane, RN, PhD</creatorcontrib><creatorcontrib>Molenaar, Ivo W., PhD</creatorcontrib><creatorcontrib>Geurts, Alexander C., MD, PhD</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Archives of physical medicine and rehabilitation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roorda, Leo D., MD, PT, PhD</au><au>Green, John R., MCSP, PhD</au><au>Houwink, Annemieke, PT, MSc</au><au>Bagley, Pam J., MCSP, PhD</au><au>Smith, Jane, RN, PhD</au><au>Molenaar, Ivo W., PhD</au><au>Geurts, Alexander C., MD, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Item Hierarchy–Based Analysis of the Rivermead Mobility Index Resulted in Improved Interpretation and Enabled Faster Scoring in Patients Undergoing Rehabilitation After Stroke</atitle><jtitle>Archives of physical medicine and rehabilitation</jtitle><addtitle>Arch Phys Med Rehabil</addtitle><date>2012-06-01</date><risdate>2012</risdate><volume>93</volume><issue>6</issue><spage>1091</spage><epage>1096</epage><pages>1091-1096</pages><issn>0003-9993</issn><eissn>1532-821X</eissn><coden>APMHAI</coden><abstract>Abstract Roorda LD, Green JR, Houwink A, Bagley PJ, Smith J, Molenaar IW, Geurts AC. Item hierarchy – based analysis of the Rivermead Mobility Index resulted in improved interpretation and enabled faster scoring in patients undergoing rehabilitation after stroke. Objective To enable improved interpretation of the total score and faster scoring of the Rivermead Mobility Index (RMI) by studying item ordering or hierarchy and formulating start-and-stop rules in patients after stroke. Design Cohort study. Setting Rehabilitation center in the Netherlands; stroke rehabilitation units and the community in the United Kingdom. Participants Item hierarchy of the RMI was studied in an initial group of patients (n=620; mean age ± SD, 69.2±12.5y; 297 [48%] men; 304 [49%] left hemisphere lesion, and 269 [43%] right hemisphere lesion), and the adequacy of the item hierarchy – based start-and-stop rules was checked in a second group of patients (n=237; mean age ± SD, 60.0±11.3y; 139 [59%] men; 103 [44%] left hemisphere lesion, and 93 [39%] right hemisphere lesion) undergoing rehabilitation after stroke. Interventions Not applicable. Main Outcome Measures Mokken scale analysis was used to investigate the fit of the double monotonicity model, indicating hierarchical item ordering. The percentages of patients with a difference between the RMI total score and the scores based on the start-and-stop rules were calculated to check the adequacy of these rules. Results The RMI had good fit of the double monotonicity model (coefficient H T =.87). The interpretation of the total score improved. Item hierarchy – based start-and-stop rules were formulated. The percentages of patients with a difference between the RMI total score and the score based on the recommended start-and-stop rules were 3% and 5%, respectively. Ten of the original 15 items had to be scored after applying the start-and-stop rules. Conclusions Item hierarchy was established, enabling improved interpretation and faster scoring of the RMI.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>22464741</pmid><doi>10.1016/j.apmr.2011.12.021</doi><tpages>6</tpages></addata></record> |
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| subjects | Activities of Daily Living - classification Age Factors Aged Aged, 80 and over Biological and medical sciences Cohort Studies Disability Evaluation Diseases of the osteoarticular system Female Humans Male Medical sciences Middle Aged Miscellaneous Miscellaneous. Osteoarticular involvement in other diseases Mobility Limitation Netherlands Neurology Outcome assessment (health care) Physical Medicine and Rehabilitation Prognosis Psychometrics Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) Recovery of Function Rehabilitation Rehabilitation Centers Risk Assessment Severity of Illness Index Sex Factors Socioeconomic Factors Stroke Stroke - diagnosis Stroke Rehabilitation Task Performance and Analysis Time Factors Vascular diseases and vascular malformations of the nervous system |
| title | Item Hierarchy–Based Analysis of the Rivermead Mobility Index Resulted in Improved Interpretation and Enabled Faster Scoring in Patients Undergoing Rehabilitation After Stroke |
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