Defining and validating a short form Montreal Cognitive Assessment (s-MoCA) for use in neurodegenerative disease
IntroductionScreening for cognitive deficits is essential in neurodegenerative disease. Screening tests, such as the Montreal Cognitive Assessment (MoCA), are easily administered, correlate with neuropsychological performance and demonstrate diagnostic utility. Yet, administration time is too long f...
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| Veröffentlicht in: | Journal of neurology, neurosurgery and psychiatry neurosurgery and psychiatry, 2016-12, Vol.87 (12), p.1303-1310 |
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| creator | Roalf, David R Moore, Tyler M Wolk, David A Arnold, Steven E Mechanic-Hamilton, Dawn Rick, Jacqueline Kabadi, Sushila Ruparel, Kosha Chen-Plotkin, Alice S Chahine, Lama M Dahodwala, Nabila A Duda, John E Weintraub, Daniel A Moberg, Paul J |
| description | IntroductionScreening for cognitive deficits is essential in neurodegenerative disease. Screening tests, such as the Montreal Cognitive Assessment (MoCA), are easily administered, correlate with neuropsychological performance and demonstrate diagnostic utility. Yet, administration time is too long for many clinical settings.MethodsItem response theory and computerised adaptive testing simulation were employed to establish an abbreviated MoCA in 1850 well-characterised community-dwelling individuals with and without neurodegenerative disease.Results8 MoCA items with high item discrimination and appropriate difficulty were identified for use in a short form (s-MoCA). The s-MoCA was highly correlated with the original MoCA, showed robust diagnostic classification and cross-validation procedures substantiated these items.DiscussionEarly detection of cognitive impairment is an important clinical and public health concern, but administration of screening measures is limited by time constraints in demanding clinical settings. Here, we provide as-MoCA that is valid across neurological disorders and can be administered in approximately 5 min. |
| doi_str_mv | 10.1136/jnnp-2015-312723 |
| format | Article |
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Screening tests, such as the Montreal Cognitive Assessment (MoCA), are easily administered, correlate with neuropsychological performance and demonstrate diagnostic utility. Yet, administration time is too long for many clinical settings.MethodsItem response theory and computerised adaptive testing simulation were employed to establish an abbreviated MoCA in 1850 well-characterised community-dwelling individuals with and without neurodegenerative disease.Results8 MoCA items with high item discrimination and appropriate difficulty were identified for use in a short form (s-MoCA). The s-MoCA was highly correlated with the original MoCA, showed robust diagnostic classification and cross-validation procedures substantiated these items.DiscussionEarly detection of cognitive impairment is an important clinical and public health concern, but administration of screening measures is limited by time constraints in demanding clinical settings. Here, we provide as-MoCA that is valid across neurological disorders and can be administered in approximately 5 min.</description><identifier>ISSN: 0022-3050</identifier><identifier>EISSN: 1468-330X</identifier><identifier>DOI: 10.1136/jnnp-2015-312723</identifier><identifier>PMID: 27071646</identifier><identifier>CODEN: JNNPAU</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Aged ; Aged, 80 and over ; Alzheimer's disease ; Cognition Disorders - diagnosis ; Cognitive ability ; Colleges & universities ; Dementia ; Diagnosis, Computer-Assisted ; Early Diagnosis ; Education ; Female ; Health care ; Humans ; Male ; Mass Screening ; Middle Aged ; Neurodegenerative Diseases - diagnosis ; Neurological disorders ; Neuropsychological Tests - statistics & numerical data ; Parkinson's disease ; Psychometrics - statistics & numerical data ; Quantitative psychology ; Reproducibility of Results ; Sample size ; Statistics as Topic ; Tomography, X-Ray Computed</subject><ispartof>Journal of neurology, neurosurgery and psychiatry, 2016-12, Vol.87 (12), p.1303-1310</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing</rights><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.</rights><rights>Copyright: 2016 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b493t-96d0d2d91ebf53a1aa57dba6cfac612db8bee078f15f335d8fae5e47ad518d4d3</citedby><cites>FETCH-LOGICAL-b493t-96d0d2d91ebf53a1aa57dba6cfac612db8bee078f15f335d8fae5e47ad518d4d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jnnp.bmj.com/content/87/12/1303.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jnnp.bmj.com/content/87/12/1303.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,230,314,780,784,885,3196,23571,27924,27925,77600,77631</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27071646$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roalf, David R</creatorcontrib><creatorcontrib>Moore, Tyler M</creatorcontrib><creatorcontrib>Wolk, David A</creatorcontrib><creatorcontrib>Arnold, Steven E</creatorcontrib><creatorcontrib>Mechanic-Hamilton, Dawn</creatorcontrib><creatorcontrib>Rick, Jacqueline</creatorcontrib><creatorcontrib>Kabadi, Sushila</creatorcontrib><creatorcontrib>Ruparel, Kosha</creatorcontrib><creatorcontrib>Chen-Plotkin, Alice S</creatorcontrib><creatorcontrib>Chahine, Lama M</creatorcontrib><creatorcontrib>Dahodwala, Nabila A</creatorcontrib><creatorcontrib>Duda, John E</creatorcontrib><creatorcontrib>Weintraub, Daniel A</creatorcontrib><creatorcontrib>Moberg, Paul J</creatorcontrib><title>Defining and validating a short form Montreal Cognitive Assessment (s-MoCA) for use in neurodegenerative disease</title><title>Journal of neurology, neurosurgery and psychiatry</title><addtitle>J Neurol Neurosurg Psychiatry</addtitle><description>IntroductionScreening for cognitive deficits is essential in neurodegenerative disease. Screening tests, such as the Montreal Cognitive Assessment (MoCA), are easily administered, correlate with neuropsychological performance and demonstrate diagnostic utility. Yet, administration time is too long for many clinical settings.MethodsItem response theory and computerised adaptive testing simulation were employed to establish an abbreviated MoCA in 1850 well-characterised community-dwelling individuals with and without neurodegenerative disease.Results8 MoCA items with high item discrimination and appropriate difficulty were identified for use in a short form (s-MoCA). The s-MoCA was highly correlated with the original MoCA, showed robust diagnostic classification and cross-validation procedures substantiated these items.DiscussionEarly detection of cognitive impairment is an important clinical and public health concern, but administration of screening measures is limited by time constraints in demanding clinical settings. Here, we provide as-MoCA that is valid across neurological disorders and can be administered in approximately 5 min.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alzheimer's disease</subject><subject>Cognition Disorders - diagnosis</subject><subject>Cognitive ability</subject><subject>Colleges & universities</subject><subject>Dementia</subject><subject>Diagnosis, Computer-Assisted</subject><subject>Early Diagnosis</subject><subject>Education</subject><subject>Female</subject><subject>Health care</subject><subject>Humans</subject><subject>Male</subject><subject>Mass Screening</subject><subject>Middle Aged</subject><subject>Neurodegenerative Diseases - diagnosis</subject><subject>Neurological disorders</subject><subject>Neuropsychological Tests - statistics & numerical data</subject><subject>Parkinson's disease</subject><subject>Psychometrics - statistics & numerical data</subject><subject>Quantitative psychology</subject><subject>Reproducibility of Results</subject><subject>Sample size</subject><subject>Statistics as Topic</subject><subject>Tomography, X-Ray Computed</subject><issn>0022-3050</issn><issn>1468-330X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkc9rFDEYhoModq3ePUnAS0VG8zszF2FZtRZavCh4C5nJl22WmWRNZhb87zvTrUW92FxCyPM-fMmL0EtK3lHK1ftdjPuKESorTplm_BFaUaHqinPy4zFaEcJYxYkkJ-hZKTuyrLp5ik6YJpoqoVZo_xF8iCFusY0OH2wfnB1vj7hcpzxin_KAr1IcM9geb9I2hjEcAK9LgVIGiCM-K9VV2qzfLCyeCuAQcYQpJwdbiJDtbcCFArbAc_TE277Ai7v9FH3__Onb5kt1-fX8YrO-rFrR8LFqlCOOuYZC6yW31FqpXWtV522nKHNt3QIQXXsqPefS1d6CBKGtk7R2wvFT9OHo3U_tAK6bB822N_scBpt_mWSD-fsmhmuzTQcjiaKyEbPg7E6Q088JymiGUDroexshTcXQWihBNRHsAShTStWEkhl9_Q-6S1OO808sQskEFVrPFDlSXU6lZPD3c1NilubN0rxZmjfH5ufIqz_fex_4XfUMvD0C7bD7v-4GKK25xw</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Roalf, David R</creator><creator>Moore, Tyler M</creator><creator>Wolk, David A</creator><creator>Arnold, Steven E</creator><creator>Mechanic-Hamilton, Dawn</creator><creator>Rick, Jacqueline</creator><creator>Kabadi, Sushila</creator><creator>Ruparel, Kosha</creator><creator>Chen-Plotkin, Alice S</creator><creator>Chahine, Lama M</creator><creator>Dahodwala, Nabila A</creator><creator>Duda, John E</creator><creator>Weintraub, Daniel A</creator><creator>Moberg, Paul J</creator><general>BMJ Publishing Group LTD</general><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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>7TK</scope><scope>5PM</scope></search><sort><creationdate>20161201</creationdate><title>Defining and validating a short form Montreal Cognitive Assessment (s-MoCA) for use in neurodegenerative disease</title><author>Roalf, David R ; Moore, Tyler M ; Wolk, David A ; Arnold, Steven E ; Mechanic-Hamilton, Dawn ; Rick, Jacqueline ; Kabadi, Sushila ; Ruparel, Kosha ; Chen-Plotkin, Alice S ; Chahine, Lama M ; Dahodwala, Nabila A ; Duda, John E ; Weintraub, Daniel A ; Moberg, Paul J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b493t-96d0d2d91ebf53a1aa57dba6cfac612db8bee078f15f335d8fae5e47ad518d4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alzheimer's disease</topic><topic>Cognition Disorders - diagnosis</topic><topic>Cognitive ability</topic><topic>Colleges & universities</topic><topic>Dementia</topic><topic>Diagnosis, Computer-Assisted</topic><topic>Early Diagnosis</topic><topic>Education</topic><topic>Female</topic><topic>Health care</topic><topic>Humans</topic><topic>Male</topic><topic>Mass Screening</topic><topic>Middle Aged</topic><topic>Neurodegenerative Diseases - diagnosis</topic><topic>Neurological disorders</topic><topic>Neuropsychological Tests - statistics & numerical data</topic><topic>Parkinson's disease</topic><topic>Psychometrics - statistics & numerical data</topic><topic>Quantitative psychology</topic><topic>Reproducibility of Results</topic><topic>Sample size</topic><topic>Statistics as Topic</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roalf, David R</creatorcontrib><creatorcontrib>Moore, Tyler M</creatorcontrib><creatorcontrib>Wolk, David A</creatorcontrib><creatorcontrib>Arnold, Steven E</creatorcontrib><creatorcontrib>Mechanic-Hamilton, Dawn</creatorcontrib><creatorcontrib>Rick, Jacqueline</creatorcontrib><creatorcontrib>Kabadi, Sushila</creatorcontrib><creatorcontrib>Ruparel, Kosha</creatorcontrib><creatorcontrib>Chen-Plotkin, Alice S</creatorcontrib><creatorcontrib>Chahine, Lama M</creatorcontrib><creatorcontrib>Dahodwala, Nabila A</creatorcontrib><creatorcontrib>Duda, John E</creatorcontrib><creatorcontrib>Weintraub, Daniel A</creatorcontrib><creatorcontrib>Moberg, Paul J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of neurology, neurosurgery and psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roalf, David R</au><au>Moore, Tyler M</au><au>Wolk, David A</au><au>Arnold, Steven E</au><au>Mechanic-Hamilton, Dawn</au><au>Rick, Jacqueline</au><au>Kabadi, Sushila</au><au>Ruparel, Kosha</au><au>Chen-Plotkin, Alice S</au><au>Chahine, Lama M</au><au>Dahodwala, Nabila A</au><au>Duda, John E</au><au>Weintraub, Daniel A</au><au>Moberg, Paul J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Defining and validating a short form Montreal Cognitive Assessment (s-MoCA) for use in neurodegenerative disease</atitle><jtitle>Journal of neurology, neurosurgery and psychiatry</jtitle><addtitle>J Neurol Neurosurg Psychiatry</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>87</volume><issue>12</issue><spage>1303</spage><epage>1310</epage><pages>1303-1310</pages><issn>0022-3050</issn><eissn>1468-330X</eissn><coden>JNNPAU</coden><abstract>IntroductionScreening for cognitive deficits is essential in neurodegenerative disease. Screening tests, such as the Montreal Cognitive Assessment (MoCA), are easily administered, correlate with neuropsychological performance and demonstrate diagnostic utility. Yet, administration time is too long for many clinical settings.MethodsItem response theory and computerised adaptive testing simulation were employed to establish an abbreviated MoCA in 1850 well-characterised community-dwelling individuals with and without neurodegenerative disease.Results8 MoCA items with high item discrimination and appropriate difficulty were identified for use in a short form (s-MoCA). The s-MoCA was highly correlated with the original MoCA, showed robust diagnostic classification and cross-validation procedures substantiated these items.DiscussionEarly detection of cognitive impairment is an important clinical and public health concern, but administration of screening measures is limited by time constraints in demanding clinical settings. Here, we provide as-MoCA that is valid across neurological disorders and can be administered in approximately 5 min.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>27071646</pmid><doi>10.1136/jnnp-2015-312723</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Aged, 80 and over Alzheimer's disease Cognition Disorders - diagnosis Cognitive ability Colleges & universities Dementia Diagnosis, Computer-Assisted Early Diagnosis Education Female Health care Humans Male Mass Screening Middle Aged Neurodegenerative Diseases - diagnosis Neurological disorders Neuropsychological Tests - statistics & numerical data Parkinson's disease Psychometrics - statistics & numerical data Quantitative psychology Reproducibility of Results Sample size Statistics as Topic Tomography, X-Ray Computed |
| title | Defining and validating a short form Montreal Cognitive Assessment (s-MoCA) for use in neurodegenerative disease |
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