Variation in Estimates of Limited Health Literacy by Assessment Instruments and Non-Response Bias
Objectives This paper compares estimates of poor health literacy using two widely used assessment tools and assesses the effect of non-response on these estimates. Study Design and Setting A total of 4,868 veterans receiving care at four VA medical facilities between 2004 and 2005 were stratified by...
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Veröffentlicht in: | Journal of general internal medicine : JGIM 2010-07, Vol.25 (7), p.675-681 |
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creator | Griffin, Joan M. Partin, Melissa R. Noorbaloochi, Siamak Grill, Joseph P. Saha, Somnath Snyder, Annamay Nugent, Sean Baines Simon, Alisha Gralnek, Ian Provenzale, Dawn van Ryn, Michelle |
description | Objectives
This paper compares estimates of poor health literacy using two widely used assessment tools and assesses the effect of non-response on these estimates.
Study Design and Setting
A total of 4,868 veterans receiving care at four VA medical facilities between 2004 and 2005 were stratified by age and facility and randomly selected for recruitment. Interviewers collected demographic information and conducted assessments of health literacy (both REALM and S-TOFHLA) from 1,796 participants. Prevalence estimates for each assessment were computed. Non-respondents received a brief proxy questionnaire with demographic and self-report literacy questions to assess non-response bias. Available administrative data for non-participants were also used to assess non-response bias.
Results
Among the 1,796 patients assessed using the S-TOFHLA, 8% had inadequate and 7% had marginal skills. For the REALM, 4% were categorized with 6th grade skills and 17% with 7–8th grade skills. Adjusting for non-response bias increased the S-TOFHLA prevalence estimates for inadequate and marginal skills to 9.3% and 11.8%, respectively, and the REALM estimates for ≤6th and 7–8th grade skills to 5.4% and 33.8%, respectively.
Conclusions
Estimates of poor health literacy varied by the assessment used, especially after adjusting for non-response bias. Researchers and clinicians should consider the possible limitations of each assessment when considering the most suitable tool for their purposes. |
doi_str_mv | 10.1007/s11606-010-1304-2 |
format | Article |
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This paper compares estimates of poor health literacy using two widely used assessment tools and assesses the effect of non-response on these estimates.
Study Design and Setting
A total of 4,868 veterans receiving care at four VA medical facilities between 2004 and 2005 were stratified by age and facility and randomly selected for recruitment. Interviewers collected demographic information and conducted assessments of health literacy (both REALM and S-TOFHLA) from 1,796 participants. Prevalence estimates for each assessment were computed. Non-respondents received a brief proxy questionnaire with demographic and self-report literacy questions to assess non-response bias. Available administrative data for non-participants were also used to assess non-response bias.
Results
Among the 1,796 patients assessed using the S-TOFHLA, 8% had inadequate and 7% had marginal skills. For the REALM, 4% were categorized with 6th grade skills and 17% with 7–8th grade skills. Adjusting for non-response bias increased the S-TOFHLA prevalence estimates for inadequate and marginal skills to 9.3% and 11.8%, respectively, and the REALM estimates for ≤6th and 7–8th grade skills to 5.4% and 33.8%, respectively.
Conclusions
Estimates of poor health literacy varied by the assessment used, especially after adjusting for non-response bias. Researchers and clinicians should consider the possible limitations of each assessment when considering the most suitable tool for their purposes.</description><identifier>ISSN: 0884-8734</identifier><identifier>EISSN: 1525-1497</identifier><identifier>DOI: 10.1007/s11606-010-1304-2</identifier><identifier>PMID: 20224964</identifier><language>eng</language><publisher>New York: Springer-Verlag</publisher><subject>Aged ; Bias ; Biological and medical sciences ; Chemical Sciences ; Epidemiology ; Female ; General aspects ; Health education ; Health Knowledge, Attitudes, Practice ; Health Literacy - standards ; Health Literacy - statistics & numerical data ; Health promotion ; Humans ; Internal Medicine ; Interviews as Topic - methods ; Interviews as Topic - standards ; Literacy ; Male ; Medical sciences ; Medicine ; Medicine & Public Health ; Middle Aged ; Organic chemistry ; Original ; Original Article ; Patient Participation - statistics & numerical data ; Patient Selection ; Public health ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; United States ; Veterans ; Veterans - statistics & numerical data</subject><ispartof>Journal of general internal medicine : JGIM, 2010-07, Vol.25 (7), p.675-681</ispartof><rights>Society of General Internal Medicine 2010</rights><rights>2015 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-81338ca699193743e2328271841697a9de74f6539062a2b7434f90e2b05dc9763</citedby><cites>FETCH-LOGICAL-c462t-81338ca699193743e2328271841697a9de74f6539062a2b7434f90e2b05dc9763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881963/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881963/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,315,728,781,785,886,27926,27927,41490,42559,51321,53793,53795</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23028828$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20224964$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00816402$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Griffin, Joan M.</creatorcontrib><creatorcontrib>Partin, Melissa R.</creatorcontrib><creatorcontrib>Noorbaloochi, Siamak</creatorcontrib><creatorcontrib>Grill, Joseph P.</creatorcontrib><creatorcontrib>Saha, Somnath</creatorcontrib><creatorcontrib>Snyder, Annamay</creatorcontrib><creatorcontrib>Nugent, Sean</creatorcontrib><creatorcontrib>Baines Simon, Alisha</creatorcontrib><creatorcontrib>Gralnek, Ian</creatorcontrib><creatorcontrib>Provenzale, Dawn</creatorcontrib><creatorcontrib>van Ryn, Michelle</creatorcontrib><title>Variation in Estimates of Limited Health Literacy by Assessment Instruments and Non-Response Bias</title><title>Journal of general internal medicine : JGIM</title><addtitle>J GEN INTERN MED</addtitle><addtitle>J Gen Intern Med</addtitle><description>Objectives
This paper compares estimates of poor health literacy using two widely used assessment tools and assesses the effect of non-response on these estimates.
Study Design and Setting
A total of 4,868 veterans receiving care at four VA medical facilities between 2004 and 2005 were stratified by age and facility and randomly selected for recruitment. Interviewers collected demographic information and conducted assessments of health literacy (both REALM and S-TOFHLA) from 1,796 participants. Prevalence estimates for each assessment were computed. Non-respondents received a brief proxy questionnaire with demographic and self-report literacy questions to assess non-response bias. Available administrative data for non-participants were also used to assess non-response bias.
Results
Among the 1,796 patients assessed using the S-TOFHLA, 8% had inadequate and 7% had marginal skills. For the REALM, 4% were categorized with 6th grade skills and 17% with 7–8th grade skills. Adjusting for non-response bias increased the S-TOFHLA prevalence estimates for inadequate and marginal skills to 9.3% and 11.8%, respectively, and the REALM estimates for ≤6th and 7–8th grade skills to 5.4% and 33.8%, respectively.
Conclusions
Estimates of poor health literacy varied by the assessment used, especially after adjusting for non-response bias. Researchers and clinicians should consider the possible limitations of each assessment when considering the most suitable tool for their purposes.</description><subject>Aged</subject><subject>Bias</subject><subject>Biological and medical sciences</subject><subject>Chemical Sciences</subject><subject>Epidemiology</subject><subject>Female</subject><subject>General aspects</subject><subject>Health education</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>Health Literacy - standards</subject><subject>Health Literacy - statistics & numerical data</subject><subject>Health promotion</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Interviews as Topic - methods</subject><subject>Interviews as Topic - standards</subject><subject>Literacy</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Organic chemistry</subject><subject>Original</subject><subject>Original Article</subject><subject>Patient Participation - statistics & numerical data</subject><subject>Patient Selection</subject><subject>Public health</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>United States</subject><subject>Veterans</subject><subject>Veterans - statistics & numerical data</subject><issn>0884-8734</issn><issn>1525-1497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kd9rFDEQxxdR7LX6B_giQRDxYTWZZPPjRThL6xUOBVFfQ24320vZy56Z3cL992bds9WCT8lkPvOdmXyL4gWj7xil6j0yJqksKaMl41SU8KhYsAqqkgmjHhcLqrUoteLipDhFvKGUcQD9tDgBCiCMFIvC_XApuCH0kYRILnAIOzd4JH1L1mEXBt-QlXfdsM3h4JOrD2RzIEtEj7jzcSBXEYc0TlckLjbkcx_Lrx73fURPPgaHz4onrevQPz-eZ8X3y4tv56ty_eXT1flyXdZCwlBqxrmunTSGGa4E98BBg2JaMGmUM41XopUVN1SCg00mRGuohw2tmtooyc-KD7PuftzsfFPniZLr7D7ljdLB9i7YfzMxbO11f2tBa2YkzwJvZ4Htg7LVcm2nN0o1k4LCLcvsm2Oz1P8cPQ52F7D2Xeei70e0inOotBCT6qsH5E0_pph_wmrFoFLwe3Y2Q3XqEZNv7_ozaier7Wy1pVOcrbaQa17-ve9dxR9vM_D6CDisXdcmF-uA9xyneXPQmYOZw5yK1z7dT_j_7r8ABRq-1A</recordid><startdate>20100701</startdate><enddate>20100701</enddate><creator>Griffin, Joan M.</creator><creator>Partin, Melissa R.</creator><creator>Noorbaloochi, Siamak</creator><creator>Grill, Joseph P.</creator><creator>Saha, Somnath</creator><creator>Snyder, Annamay</creator><creator>Nugent, Sean</creator><creator>Baines Simon, Alisha</creator><creator>Gralnek, Ian</creator><creator>Provenzale, Dawn</creator><creator>van Ryn, Michelle</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><general>Springer Verlag</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>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope></search><sort><creationdate>20100701</creationdate><title>Variation in Estimates of Limited Health Literacy by Assessment Instruments and Non-Response Bias</title><author>Griffin, Joan M. ; Partin, Melissa R. ; Noorbaloochi, Siamak ; Grill, Joseph P. ; Saha, Somnath ; Snyder, Annamay ; Nugent, Sean ; Baines Simon, Alisha ; Gralnek, Ian ; Provenzale, Dawn ; van Ryn, Michelle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-81338ca699193743e2328271841697a9de74f6539062a2b7434f90e2b05dc9763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aged</topic><topic>Bias</topic><topic>Biological and medical sciences</topic><topic>Chemical Sciences</topic><topic>Epidemiology</topic><topic>Female</topic><topic>General aspects</topic><topic>Health education</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>Health Literacy - standards</topic><topic>Health Literacy - statistics & numerical data</topic><topic>Health promotion</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Interviews as Topic - methods</topic><topic>Interviews as Topic - standards</topic><topic>Literacy</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Organic chemistry</topic><topic>Original</topic><topic>Original Article</topic><topic>Patient Participation - statistics & numerical data</topic><topic>Patient Selection</topic><topic>Public health</topic><topic>Public health. Hygiene</topic><topic>Public health. 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This paper compares estimates of poor health literacy using two widely used assessment tools and assesses the effect of non-response on these estimates.
Study Design and Setting
A total of 4,868 veterans receiving care at four VA medical facilities between 2004 and 2005 were stratified by age and facility and randomly selected for recruitment. Interviewers collected demographic information and conducted assessments of health literacy (both REALM and S-TOFHLA) from 1,796 participants. Prevalence estimates for each assessment were computed. Non-respondents received a brief proxy questionnaire with demographic and self-report literacy questions to assess non-response bias. Available administrative data for non-participants were also used to assess non-response bias.
Results
Among the 1,796 patients assessed using the S-TOFHLA, 8% had inadequate and 7% had marginal skills. For the REALM, 4% were categorized with 6th grade skills and 17% with 7–8th grade skills. Adjusting for non-response bias increased the S-TOFHLA prevalence estimates for inadequate and marginal skills to 9.3% and 11.8%, respectively, and the REALM estimates for ≤6th and 7–8th grade skills to 5.4% and 33.8%, respectively.
Conclusions
Estimates of poor health literacy varied by the assessment used, especially after adjusting for non-response bias. Researchers and clinicians should consider the possible limitations of each assessment when considering the most suitable tool for their purposes.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>20224964</pmid><doi>10.1007/s11606-010-1304-2</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Bias Biological and medical sciences Chemical Sciences Epidemiology Female General aspects Health education Health Knowledge, Attitudes, Practice Health Literacy - standards Health Literacy - statistics & numerical data Health promotion Humans Internal Medicine Interviews as Topic - methods Interviews as Topic - standards Literacy Male Medical sciences Medicine Medicine & Public Health Middle Aged Organic chemistry Original Original Article Patient Participation - statistics & numerical data Patient Selection Public health Public health. Hygiene Public health. Hygiene-occupational medicine United States Veterans Veterans - statistics & numerical data |
title | Variation in Estimates of Limited Health Literacy by Assessment Instruments and Non-Response Bias |
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