Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures
Purpose Having independent versions of the PROMIS® scales (for Pediatric and Adults) is problematic as scores cannot be evaluated longitudinally as individuals move from childhood into adulthood. The primary aim of this research project is to use item response theory (IRT) to develop a transitional...
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| Veröffentlicht in: | Quality of life research 2019-05, Vol.28 (5), p.1217-1229 |
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| creator | Tulsky, David S. Kisala, Pamela A. Boulton, Aaron J. Jette, Alan M. Thissen, David Ni, Pengsheng DeWalt, Darren A. Huang, I-Chan Liu, Yang Mulcahey, M. J. Slavin, Mary Magnus, Brooke Crump, Holly Hanks, Robin Charlifue, Susan Reeve, Bryce B. |
| description | Purpose
Having independent versions of the PROMIS® scales (for Pediatric and Adults) is problematic as scores cannot be evaluated longitudinally as individuals move from childhood into adulthood. The primary aim of this research project is to use item response theory (IRT) to develop a transitional scoring link (or “crosswalk”) between the PROMIS adult and pediatric physical health measures.
Setting
Sample 1 was collected at 6 rehabilitation hospitals in the U.S., and participants in Sample 2 were recruited from public health insurance programs and an online research panel.
Methods
PROMIS pediatric and adult physical function, mobility, upper extremity, fatigue, and pain measures were administered to a sample of 874 individuals aged 14–20 years old with special health needs and a sample of 641 individuals aged 14–25 years with a disability. IRT-based scores were linked using a linear approximation to calibrated projection.
Results
Estimated latent variable correlations ranged between 0.84 and 0.95 for the PROMIS pediatric and adult scores. Root Expected Mean Square Difference values were below the 0.08 threshold in all cases except when comparing genders on the Mobility (0.097) and Pain (0.10) scales in the special health care needs sample. Sum score conversion tables for the pediatric and adult PROMIS measures are presented.
Conclusions
The linking coefficients can be used to calculate scale scores on PROMIS adult measures from pediatric measure scores and vice versa. This may lead to more accurate measurement in cross-sectional studies spanning multiple age groups or longitudinal studies that require comparable measurement across distinct developmental stages. |
| doi_str_mv | 10.1007/s11136-018-2073-3 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9560043</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>48705015</jstor_id><sourcerecordid>48705015</sourcerecordid><originalsourceid>FETCH-LOGICAL-c492t-1c4c2446b7d51741b8bdb0ff4d936444401239db13e9796054bd1c4c69f481413</originalsourceid><addsrcrecordid>eNp9kc1u1TAQhS0EoreFB2ABssSmm4AntpN4g4QKtJWKivhZW04y6fUlcVLbAfWleAieDIeUy88Cb2zZ3zmemUPII2DPgLHyeQAAXmQMqixnJc_4HbIBmQ55IdRdsmGqyDPFBT8ghyHsGGOVYvl9csCZ5IoXsCH4CiP6wTrrrqih0RsXbLSjMz0NzeiX6966z7TG-BXR0XfvL9-ef_j-jU7YWhO9bahxLTXt3Ec6bW-CbZJ0i6aPWzqgCbPH8IDc60wf8OHtfkQ-vXn98eQsu7g8PT95eZE1QuUxg0Y0uRBFXbYSSgF1Vbc16zrRpmJFWgxyrtoaOKpSFUyKul00hepEBQL4EXmx-k5zPWDboEsN9XrydjD-Ro_G6r9fnN3qq_GLVrJgTPBkcHxr4MfrGUPUgw0N9r1xOM5B5yBlmrDiVUKf_oPuxtmnuf2khJCyFAsFK9X4MQSP3b4YYHoJUa8h6hSiXkLUSxFP_uxir_iVWgLyFQjTEhD631__z_XxKtqFOPq9qahKJhlI_gNGuLH9</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2154455748</pqid></control><display><type>article</type><title>Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures</title><source>MEDLINE</source><source>SpringerNature Journals</source><source>JSTOR Archive Collection A-Z Listing</source><creator>Tulsky, David S. ; Kisala, Pamela A. ; Boulton, Aaron J. ; Jette, Alan M. ; Thissen, David ; Ni, Pengsheng ; DeWalt, Darren A. ; Huang, I-Chan ; Liu, Yang ; Mulcahey, M. J. ; Slavin, Mary ; Magnus, Brooke ; Crump, Holly ; Hanks, Robin ; Charlifue, Susan ; Reeve, Bryce B.</creator><creatorcontrib>Tulsky, David S. ; Kisala, Pamela A. ; Boulton, Aaron J. ; Jette, Alan M. ; Thissen, David ; Ni, Pengsheng ; DeWalt, Darren A. ; Huang, I-Chan ; Liu, Yang ; Mulcahey, M. J. ; Slavin, Mary ; Magnus, Brooke ; Crump, Holly ; Hanks, Robin ; Charlifue, Susan ; Reeve, Bryce B.</creatorcontrib><description>Purpose
Having independent versions of the PROMIS® scales (for Pediatric and Adults) is problematic as scores cannot be evaluated longitudinally as individuals move from childhood into adulthood. The primary aim of this research project is to use item response theory (IRT) to develop a transitional scoring link (or “crosswalk”) between the PROMIS adult and pediatric physical health measures.
Setting
Sample 1 was collected at 6 rehabilitation hospitals in the U.S., and participants in Sample 2 were recruited from public health insurance programs and an online research panel.
Methods
PROMIS pediatric and adult physical function, mobility, upper extremity, fatigue, and pain measures were administered to a sample of 874 individuals aged 14–20 years old with special health needs and a sample of 641 individuals aged 14–25 years with a disability. IRT-based scores were linked using a linear approximation to calibrated projection.
Results
Estimated latent variable correlations ranged between 0.84 and 0.95 for the PROMIS pediatric and adult scores. Root Expected Mean Square Difference values were below the 0.08 threshold in all cases except when comparing genders on the Mobility (0.097) and Pain (0.10) scales in the special health care needs sample. Sum score conversion tables for the pediatric and adult PROMIS measures are presented.
Conclusions
The linking coefficients can be used to calculate scale scores on PROMIS adult measures from pediatric measure scores and vice versa. This may lead to more accurate measurement in cross-sectional studies spanning multiple age groups or longitudinal studies that require comparable measurement across distinct developmental stages.</description><identifier>ISSN: 0962-9343</identifier><identifier>EISSN: 1573-2649</identifier><identifier>DOI: 10.1007/s11136-018-2073-3</identifier><identifier>PMID: 30539361</identifier><language>eng</language><publisher>Cham: Springer Science + Business Media</publisher><subject>Adolescent ; Adult ; Cross-Sectional Studies ; Disabled Persons - psychology ; Female ; Humans ; INSTRUMENT DEVELOPMENT ; Item response theory ; Male ; Medicine ; Medicine & Public Health ; Patient Reported Outcome Measures ; Pediatrics ; Psychometrics - methods ; Public Health ; Quality of Life - psychology ; Quality of Life Research ; Sociology ; Young Adult</subject><ispartof>Quality of life research, 2019-05, Vol.28 (5), p.1217-1229</ispartof><rights>Springer Nature Switzerland AG 2018</rights><rights>Quality of Life Research is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c492t-1c4c2446b7d51741b8bdb0ff4d936444401239db13e9796054bd1c4c69f481413</citedby><cites>FETCH-LOGICAL-c492t-1c4c2446b7d51741b8bdb0ff4d936444401239db13e9796054bd1c4c69f481413</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48705015$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48705015$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,803,885,27924,27925,41488,42557,51319,58017,58250</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30539361$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tulsky, David S.</creatorcontrib><creatorcontrib>Kisala, Pamela A.</creatorcontrib><creatorcontrib>Boulton, Aaron J.</creatorcontrib><creatorcontrib>Jette, Alan M.</creatorcontrib><creatorcontrib>Thissen, David</creatorcontrib><creatorcontrib>Ni, Pengsheng</creatorcontrib><creatorcontrib>DeWalt, Darren A.</creatorcontrib><creatorcontrib>Huang, I-Chan</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Mulcahey, M. J.</creatorcontrib><creatorcontrib>Slavin, Mary</creatorcontrib><creatorcontrib>Magnus, Brooke</creatorcontrib><creatorcontrib>Crump, Holly</creatorcontrib><creatorcontrib>Hanks, Robin</creatorcontrib><creatorcontrib>Charlifue, Susan</creatorcontrib><creatorcontrib>Reeve, Bryce B.</creatorcontrib><title>Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures</title><title>Quality of life research</title><addtitle>Qual Life Res</addtitle><addtitle>Qual Life Res</addtitle><description>Purpose
Having independent versions of the PROMIS® scales (for Pediatric and Adults) is problematic as scores cannot be evaluated longitudinally as individuals move from childhood into adulthood. The primary aim of this research project is to use item response theory (IRT) to develop a transitional scoring link (or “crosswalk”) between the PROMIS adult and pediatric physical health measures.
Setting
Sample 1 was collected at 6 rehabilitation hospitals in the U.S., and participants in Sample 2 were recruited from public health insurance programs and an online research panel.
Methods
PROMIS pediatric and adult physical function, mobility, upper extremity, fatigue, and pain measures were administered to a sample of 874 individuals aged 14–20 years old with special health needs and a sample of 641 individuals aged 14–25 years with a disability. IRT-based scores were linked using a linear approximation to calibrated projection.
Results
Estimated latent variable correlations ranged between 0.84 and 0.95 for the PROMIS pediatric and adult scores. Root Expected Mean Square Difference values were below the 0.08 threshold in all cases except when comparing genders on the Mobility (0.097) and Pain (0.10) scales in the special health care needs sample. Sum score conversion tables for the pediatric and adult PROMIS measures are presented.
Conclusions
The linking coefficients can be used to calculate scale scores on PROMIS adult measures from pediatric measure scores and vice versa. This may lead to more accurate measurement in cross-sectional studies spanning multiple age groups or longitudinal studies that require comparable measurement across distinct developmental stages.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Cross-Sectional Studies</subject><subject>Disabled Persons - psychology</subject><subject>Female</subject><subject>Humans</subject><subject>INSTRUMENT DEVELOPMENT</subject><subject>Item response theory</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Patient Reported Outcome Measures</subject><subject>Pediatrics</subject><subject>Psychometrics - methods</subject><subject>Public Health</subject><subject>Quality of Life - psychology</subject><subject>Quality of Life Research</subject><subject>Sociology</subject><subject>Young Adult</subject><issn>0962-9343</issn><issn>1573-2649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</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>eNp9kc1u1TAQhS0EoreFB2ABssSmm4AntpN4g4QKtJWKivhZW04y6fUlcVLbAfWleAieDIeUy88Cb2zZ3zmemUPII2DPgLHyeQAAXmQMqixnJc_4HbIBmQ55IdRdsmGqyDPFBT8ghyHsGGOVYvl9csCZ5IoXsCH4CiP6wTrrrqih0RsXbLSjMz0NzeiX6966z7TG-BXR0XfvL9-ef_j-jU7YWhO9bahxLTXt3Ec6bW-CbZJ0i6aPWzqgCbPH8IDc60wf8OHtfkQ-vXn98eQsu7g8PT95eZE1QuUxg0Y0uRBFXbYSSgF1Vbc16zrRpmJFWgxyrtoaOKpSFUyKul00hepEBQL4EXmx-k5zPWDboEsN9XrydjD-Ro_G6r9fnN3qq_GLVrJgTPBkcHxr4MfrGUPUgw0N9r1xOM5B5yBlmrDiVUKf_oPuxtmnuf2khJCyFAsFK9X4MQSP3b4YYHoJUa8h6hSiXkLUSxFP_uxir_iVWgLyFQjTEhD631__z_XxKtqFOPq9qahKJhlI_gNGuLH9</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Tulsky, David S.</creator><creator>Kisala, Pamela A.</creator><creator>Boulton, Aaron J.</creator><creator>Jette, Alan M.</creator><creator>Thissen, David</creator><creator>Ni, Pengsheng</creator><creator>DeWalt, Darren A.</creator><creator>Huang, I-Chan</creator><creator>Liu, Yang</creator><creator>Mulcahey, M. J.</creator><creator>Slavin, Mary</creator><creator>Magnus, Brooke</creator><creator>Crump, Holly</creator><creator>Hanks, Robin</creator><creator>Charlifue, Susan</creator><creator>Reeve, Bryce B.</creator><general>Springer Science + Business Media</general><general>Springer International Publishing</general><general>Springer Nature B.V</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>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190501</creationdate><title>Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures</title><author>Tulsky, David S. ; Kisala, Pamela A. ; Boulton, Aaron J. ; Jette, Alan M. ; Thissen, David ; Ni, Pengsheng ; DeWalt, Darren A. ; Huang, I-Chan ; Liu, Yang ; Mulcahey, M. J. ; Slavin, Mary ; Magnus, Brooke ; Crump, Holly ; Hanks, Robin ; Charlifue, Susan ; Reeve, Bryce B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-1c4c2446b7d51741b8bdb0ff4d936444401239db13e9796054bd1c4c69f481413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Cross-Sectional Studies</topic><topic>Disabled Persons - psychology</topic><topic>Female</topic><topic>Humans</topic><topic>INSTRUMENT DEVELOPMENT</topic><topic>Item response theory</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Patient Reported Outcome Measures</topic><topic>Pediatrics</topic><topic>Psychometrics - methods</topic><topic>Public Health</topic><topic>Quality of Life - psychology</topic><topic>Quality of Life Research</topic><topic>Sociology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tulsky, David S.</creatorcontrib><creatorcontrib>Kisala, Pamela A.</creatorcontrib><creatorcontrib>Boulton, Aaron J.</creatorcontrib><creatorcontrib>Jette, Alan M.</creatorcontrib><creatorcontrib>Thissen, David</creatorcontrib><creatorcontrib>Ni, Pengsheng</creatorcontrib><creatorcontrib>DeWalt, Darren A.</creatorcontrib><creatorcontrib>Huang, I-Chan</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Mulcahey, M. J.</creatorcontrib><creatorcontrib>Slavin, Mary</creatorcontrib><creatorcontrib>Magnus, Brooke</creatorcontrib><creatorcontrib>Crump, Holly</creatorcontrib><creatorcontrib>Hanks, Robin</creatorcontrib><creatorcontrib>Charlifue, Susan</creatorcontrib><creatorcontrib>Reeve, Bryce B.</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>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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>PubMed Central (Full Participant titles)</collection><jtitle>Quality of life research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tulsky, David S.</au><au>Kisala, Pamela A.</au><au>Boulton, Aaron J.</au><au>Jette, Alan M.</au><au>Thissen, David</au><au>Ni, Pengsheng</au><au>DeWalt, Darren A.</au><au>Huang, I-Chan</au><au>Liu, Yang</au><au>Mulcahey, M. J.</au><au>Slavin, Mary</au><au>Magnus, Brooke</au><au>Crump, Holly</au><au>Hanks, Robin</au><au>Charlifue, Susan</au><au>Reeve, Bryce B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures</atitle><jtitle>Quality of life research</jtitle><stitle>Qual Life Res</stitle><addtitle>Qual Life Res</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>28</volume><issue>5</issue><spage>1217</spage><epage>1229</epage><pages>1217-1229</pages><issn>0962-9343</issn><eissn>1573-2649</eissn><abstract>Purpose
Having independent versions of the PROMIS® scales (for Pediatric and Adults) is problematic as scores cannot be evaluated longitudinally as individuals move from childhood into adulthood. The primary aim of this research project is to use item response theory (IRT) to develop a transitional scoring link (or “crosswalk”) between the PROMIS adult and pediatric physical health measures.
Setting
Sample 1 was collected at 6 rehabilitation hospitals in the U.S., and participants in Sample 2 were recruited from public health insurance programs and an online research panel.
Methods
PROMIS pediatric and adult physical function, mobility, upper extremity, fatigue, and pain measures were administered to a sample of 874 individuals aged 14–20 years old with special health needs and a sample of 641 individuals aged 14–25 years with a disability. IRT-based scores were linked using a linear approximation to calibrated projection.
Results
Estimated latent variable correlations ranged between 0.84 and 0.95 for the PROMIS pediatric and adult scores. Root Expected Mean Square Difference values were below the 0.08 threshold in all cases except when comparing genders on the Mobility (0.097) and Pain (0.10) scales in the special health care needs sample. Sum score conversion tables for the pediatric and adult PROMIS measures are presented.
Conclusions
The linking coefficients can be used to calculate scale scores on PROMIS adult measures from pediatric measure scores and vice versa. This may lead to more accurate measurement in cross-sectional studies spanning multiple age groups or longitudinal studies that require comparable measurement across distinct developmental stages.</abstract><cop>Cham</cop><pub>Springer Science + Business Media</pub><pmid>30539361</pmid><doi>10.1007/s11136-018-2073-3</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Quality of life research, 2019-05, Vol.28 (5), p.1217-1229 |
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| source | MEDLINE; SpringerNature Journals; JSTOR Archive Collection A-Z Listing |
| subjects | Adolescent Adult Cross-Sectional Studies Disabled Persons - psychology Female Humans INSTRUMENT DEVELOPMENT Item response theory Male Medicine Medicine & Public Health Patient Reported Outcome Measures Pediatrics Psychometrics - methods Public Health Quality of Life - psychology Quality of Life Research Sociology Young Adult |
| title | Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures |
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