Being an Informed Consumer of Health Information and Assessment of Electronic Health Literacy in a National Sample of Internet Users: Validity and Reliability of the e-HLS Instrument
The Internet, with its capacity to provide information that transcends time and space barriers, continues to transform how people find and apply information to their own lives. With the current explosion in electronic sources of health information, including thousands of websites and hundreds of mob...
Gespeichert in:
Veröffentlicht in: | Journal of medical Internet research 2016-07, Vol.18 (7), p.e161-e161 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e161 |
---|---|
container_issue | 7 |
container_start_page | e161 |
container_title | Journal of medical Internet research |
container_volume | 18 |
creator | Seçkin, Gül Yeatts, Dale Hughes, Susan Hudson, Cassie Bell, Valarie |
description | The Internet, with its capacity to provide information that transcends time and space barriers, continues to transform how people find and apply information to their own lives. With the current explosion in electronic sources of health information, including thousands of websites and hundreds of mobile phone health apps, electronic health literacy is gaining an increasing prominence in health and medical research. An important dimension of electronic health literacy is the ability to appraise the quality of information that will facilitate everyday health care decisions. Health information seekers explore their care options by gathering information from health websites, blogs, Web-based forums, social networking websites, and advertisements, despite the fact that information quality on the Internet varies greatly. Nonetheless, research has lagged behind in establishing multidimensional instruments, in part due to the evolving construct of health literacy itself.
The purpose of this study was to examine psychometric properties of a new electronic health literacy (ehealth literacy) measure in a national sample of Internet users with specific attention to older users. Our paper is motivated by the fact that ehealth literacy is an underinvestigated area of inquiry.
Our sample was drawn from a panel of more than 55,000 participants maintained by Knowledge Networks, the largest national probability-based research panel for Web-based surveys. We examined the factor structure of a 19-item electronic Health Literacy Scale (e-HLS) through exploratory factor analysis (EFA) and confirmatory factor analysis, internal consistency reliability, and construct validity on sample of adults (n=710) and a subsample of older adults (n=194). The AMOS graphics program 21.0 was used to construct a measurement model, linking latent factors obtained from EFA with 19 indicators to determine whether this factor structure achieved a good fit with our entire sample and the subsample (age ≥ 60 years). Linear regression analyses were performed in separate models to examine: (1) the construct validity of the e-HLS and (2) its association with respondents' demographic characteristics and health variables.
The EFA produced a 3-factor solution: communication (2 items), trust (4 items), and action (13 items). The 3-factor structure of the e-HLS was found to be invariant for the subsample. Fit indices obtained were as follows: full sample: χ(2) (710)=698.547, df=131, P |
doi_str_mv | 10.2196/jmir.5496 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4960406</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2512815772</sourcerecordid><originalsourceid>FETCH-LOGICAL-c403t-9bab2bf649734a8ebb4b8a269af1d940b93dd4cdb30b4d0612904c70d007c6303</originalsourceid><addsrcrecordid>eNpdks9u1DAQxiMEov848ALIEhd6SGs73iTmgFRWhV1p1UqUcrVsZ9L1yrG3toO0L8bz4bTbqnDyWPObb0bfTFG8J_iMEl6fbwYTzmaM16-KQ8Kqtmzbhrx-ER8URzFuMKaYcfK2OKANw7ih9WHx5ysYd4ekQ0vX-zBAh-bexXGAgHyPFiBtWu9zMhnvMtqhixghxgFcmqBLCzoF74x-4lcmQZB6h0zm0dVDobToRg5bC1PJ0mXAQUK3EUL8jH5JazqTdg_qP8AaqYyd_plNa0BQLlY3uSqmME5tT4o3vbQR3u3f4-L22-XP-aJcXX9fzi9WpWa4SiVXUlHV14w3FZMtKMVUK2nNZU86zrDiVdcx3akKK9bhmlCOmW5wl93RdYWr4-LLo-52VNkbnVsHacU2mEGGnfDSiH8zzqzFnf8t8jIww3UW-LQXCP5-hJjEYKIGa6UDP0ZBWlw1mZ2xjH78D934MWTfoqAzQlsyaxqaqdNHSgcfY4D-eRiCxXQNYroGMV1DZj-8nP6ZfFp_9Rex-rN1</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2512815772</pqid></control><display><type>article</type><title>Being an Informed Consumer of Health Information and Assessment of Electronic Health Literacy in a National Sample of Internet Users: Validity and Reliability of the e-HLS Instrument</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central Open Access</source><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Seçkin, Gül ; Yeatts, Dale ; Hughes, Susan ; Hudson, Cassie ; Bell, Valarie</creator><creatorcontrib>Seçkin, Gül ; Yeatts, Dale ; Hughes, Susan ; Hudson, Cassie ; Bell, Valarie</creatorcontrib><description>The Internet, with its capacity to provide information that transcends time and space barriers, continues to transform how people find and apply information to their own lives. With the current explosion in electronic sources of health information, including thousands of websites and hundreds of mobile phone health apps, electronic health literacy is gaining an increasing prominence in health and medical research. An important dimension of electronic health literacy is the ability to appraise the quality of information that will facilitate everyday health care decisions. Health information seekers explore their care options by gathering information from health websites, blogs, Web-based forums, social networking websites, and advertisements, despite the fact that information quality on the Internet varies greatly. Nonetheless, research has lagged behind in establishing multidimensional instruments, in part due to the evolving construct of health literacy itself.
The purpose of this study was to examine psychometric properties of a new electronic health literacy (ehealth literacy) measure in a national sample of Internet users with specific attention to older users. Our paper is motivated by the fact that ehealth literacy is an underinvestigated area of inquiry.
Our sample was drawn from a panel of more than 55,000 participants maintained by Knowledge Networks, the largest national probability-based research panel for Web-based surveys. We examined the factor structure of a 19-item electronic Health Literacy Scale (e-HLS) through exploratory factor analysis (EFA) and confirmatory factor analysis, internal consistency reliability, and construct validity on sample of adults (n=710) and a subsample of older adults (n=194). The AMOS graphics program 21.0 was used to construct a measurement model, linking latent factors obtained from EFA with 19 indicators to determine whether this factor structure achieved a good fit with our entire sample and the subsample (age ≥ 60 years). Linear regression analyses were performed in separate models to examine: (1) the construct validity of the e-HLS and (2) its association with respondents' demographic characteristics and health variables.
The EFA produced a 3-factor solution: communication (2 items), trust (4 items), and action (13 items). The 3-factor structure of the e-HLS was found to be invariant for the subsample. Fit indices obtained were as follows: full sample: χ(2) (710)=698.547, df=131, P<.001, comparative fit index (CFI)=0.94, normed fit index (NFI)=0.92, root mean squared error of approximation (RMSEA)=0.08; and for the older subsample (age ≥ 60 years): χ(2) (194)=275.744, df=131, P<.001, CFI=0.95, NFI=0.90, RMSEA=0.08.
The analyses supported the e-HLS validity and internal reliability for the full sample and subsample. The overwhelming majority of our respondents reported a great deal of confidence in their ability to appraise the quality of information obtained from the Internet, yet less than half reported performing quality checks contained on the e-HLS.</description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/jmir.5496</identifier><identifier>PMID: 27400726</identifier><language>eng</language><publisher>Canada: Gunther Eysenbach MD MPH, Associate Professor</publisher><subject>Access to information ; Activities of daily living ; Adolescent ; Adult ; Advertisements ; Aged ; Aged, 80 and over ; Appraisal ; Confirmatory factor analysis ; Construct validity ; Consumer health information ; Consumers ; Decision making ; Demography ; Empowerment ; Exploratory factor analysis ; Female ; Health education ; Health information ; Health literacy ; Health Literacy - methods ; Health Literacy - statistics & numerical data ; Health promotion ; Health status ; Humans ; Information sources ; Internet ; Internet - statistics & numerical data ; Male ; Measurement ; Medical Informatics - methods ; Medical Informatics - statistics & numerical data ; Medical research ; Middle Aged ; Mobile phones ; Networking ; Older people ; Original Paper ; Patients ; Personal health ; Quantitative psychology ; Reliability ; Reproducibility of Results ; Social networks ; Telemedicine - statistics & numerical data ; Websites ; Young Adult</subject><ispartof>Journal of medical Internet research, 2016-07, Vol.18 (7), p.e161-e161</ispartof><rights>2016. This work is licensed under http://creativecommons.org/licenses/by/2.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Gül Seçkin, Dale Yeatts, Susan Hughes, Cassie Hudson, Valarie Bell. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.07.2016. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-9bab2bf649734a8ebb4b8a269af1d940b93dd4cdb30b4d0612904c70d007c6303</citedby><cites>FETCH-LOGICAL-c403t-9bab2bf649734a8ebb4b8a269af1d940b93dd4cdb30b4d0612904c70d007c6303</cites><orcidid>0000-0002-3633-6935 ; 0000-0002-5955-4871 ; 0000-0002-9522-6736 ; 0000-0001-9512-1013 ; 0000-0003-0013-0027</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,727,780,784,864,885,12846,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27400726$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Seçkin, Gül</creatorcontrib><creatorcontrib>Yeatts, Dale</creatorcontrib><creatorcontrib>Hughes, Susan</creatorcontrib><creatorcontrib>Hudson, Cassie</creatorcontrib><creatorcontrib>Bell, Valarie</creatorcontrib><title>Being an Informed Consumer of Health Information and Assessment of Electronic Health Literacy in a National Sample of Internet Users: Validity and Reliability of the e-HLS Instrument</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description>The Internet, with its capacity to provide information that transcends time and space barriers, continues to transform how people find and apply information to their own lives. With the current explosion in electronic sources of health information, including thousands of websites and hundreds of mobile phone health apps, electronic health literacy is gaining an increasing prominence in health and medical research. An important dimension of electronic health literacy is the ability to appraise the quality of information that will facilitate everyday health care decisions. Health information seekers explore their care options by gathering information from health websites, blogs, Web-based forums, social networking websites, and advertisements, despite the fact that information quality on the Internet varies greatly. Nonetheless, research has lagged behind in establishing multidimensional instruments, in part due to the evolving construct of health literacy itself.
The purpose of this study was to examine psychometric properties of a new electronic health literacy (ehealth literacy) measure in a national sample of Internet users with specific attention to older users. Our paper is motivated by the fact that ehealth literacy is an underinvestigated area of inquiry.
Our sample was drawn from a panel of more than 55,000 participants maintained by Knowledge Networks, the largest national probability-based research panel for Web-based surveys. We examined the factor structure of a 19-item electronic Health Literacy Scale (e-HLS) through exploratory factor analysis (EFA) and confirmatory factor analysis, internal consistency reliability, and construct validity on sample of adults (n=710) and a subsample of older adults (n=194). The AMOS graphics program 21.0 was used to construct a measurement model, linking latent factors obtained from EFA with 19 indicators to determine whether this factor structure achieved a good fit with our entire sample and the subsample (age ≥ 60 years). Linear regression analyses were performed in separate models to examine: (1) the construct validity of the e-HLS and (2) its association with respondents' demographic characteristics and health variables.
The EFA produced a 3-factor solution: communication (2 items), trust (4 items), and action (13 items). The 3-factor structure of the e-HLS was found to be invariant for the subsample. Fit indices obtained were as follows: full sample: χ(2) (710)=698.547, df=131, P<.001, comparative fit index (CFI)=0.94, normed fit index (NFI)=0.92, root mean squared error of approximation (RMSEA)=0.08; and for the older subsample (age ≥ 60 years): χ(2) (194)=275.744, df=131, P<.001, CFI=0.95, NFI=0.90, RMSEA=0.08.
The analyses supported the e-HLS validity and internal reliability for the full sample and subsample. The overwhelming majority of our respondents reported a great deal of confidence in their ability to appraise the quality of information obtained from the Internet, yet less than half reported performing quality checks contained on the e-HLS.</description><subject>Access to information</subject><subject>Activities of daily living</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Advertisements</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Appraisal</subject><subject>Confirmatory factor analysis</subject><subject>Construct validity</subject><subject>Consumer health information</subject><subject>Consumers</subject><subject>Decision making</subject><subject>Demography</subject><subject>Empowerment</subject><subject>Exploratory factor analysis</subject><subject>Female</subject><subject>Health education</subject><subject>Health information</subject><subject>Health literacy</subject><subject>Health Literacy - methods</subject><subject>Health Literacy - statistics & numerical data</subject><subject>Health promotion</subject><subject>Health status</subject><subject>Humans</subject><subject>Information sources</subject><subject>Internet</subject><subject>Internet - statistics & numerical data</subject><subject>Male</subject><subject>Measurement</subject><subject>Medical Informatics - methods</subject><subject>Medical Informatics - statistics & numerical data</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Mobile phones</subject><subject>Networking</subject><subject>Older people</subject><subject>Original Paper</subject><subject>Patients</subject><subject>Personal health</subject><subject>Quantitative psychology</subject><subject>Reliability</subject><subject>Reproducibility of Results</subject><subject>Social networks</subject><subject>Telemedicine - statistics & numerical data</subject><subject>Websites</subject><subject>Young Adult</subject><issn>1438-8871</issn><issn>1439-4456</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdks9u1DAQxiMEov848ALIEhd6SGs73iTmgFRWhV1p1UqUcrVsZ9L1yrG3toO0L8bz4bTbqnDyWPObb0bfTFG8J_iMEl6fbwYTzmaM16-KQ8Kqtmzbhrx-ER8URzFuMKaYcfK2OKANw7ih9WHx5ysYd4ekQ0vX-zBAh-bexXGAgHyPFiBtWu9zMhnvMtqhixghxgFcmqBLCzoF74x-4lcmQZB6h0zm0dVDobToRg5bC1PJ0mXAQUK3EUL8jH5JazqTdg_qP8AaqYyd_plNa0BQLlY3uSqmME5tT4o3vbQR3u3f4-L22-XP-aJcXX9fzi9WpWa4SiVXUlHV14w3FZMtKMVUK2nNZU86zrDiVdcx3akKK9bhmlCOmW5wl93RdYWr4-LLo-52VNkbnVsHacU2mEGGnfDSiH8zzqzFnf8t8jIww3UW-LQXCP5-hJjEYKIGa6UDP0ZBWlw1mZ2xjH78D934MWTfoqAzQlsyaxqaqdNHSgcfY4D-eRiCxXQNYroGMV1DZj-8nP6ZfFp_9Rex-rN1</recordid><startdate>20160711</startdate><enddate>20160711</enddate><creator>Seçkin, Gül</creator><creator>Yeatts, Dale</creator><creator>Hughes, Susan</creator><creator>Hudson, Cassie</creator><creator>Bell, Valarie</creator><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>JMIR Publications</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>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1O</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3633-6935</orcidid><orcidid>https://orcid.org/0000-0002-5955-4871</orcidid><orcidid>https://orcid.org/0000-0002-9522-6736</orcidid><orcidid>https://orcid.org/0000-0001-9512-1013</orcidid><orcidid>https://orcid.org/0000-0003-0013-0027</orcidid></search><sort><creationdate>20160711</creationdate><title>Being an Informed Consumer of Health Information and Assessment of Electronic Health Literacy in a National Sample of Internet Users: Validity and Reliability of the e-HLS Instrument</title><author>Seçkin, Gül ; Yeatts, Dale ; Hughes, Susan ; Hudson, Cassie ; Bell, Valarie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-9bab2bf649734a8ebb4b8a269af1d940b93dd4cdb30b4d0612904c70d007c6303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Access to information</topic><topic>Activities of daily living</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Advertisements</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Appraisal</topic><topic>Confirmatory factor analysis</topic><topic>Construct validity</topic><topic>Consumer health information</topic><topic>Consumers</topic><topic>Decision making</topic><topic>Demography</topic><topic>Empowerment</topic><topic>Exploratory factor analysis</topic><topic>Female</topic><topic>Health education</topic><topic>Health information</topic><topic>Health literacy</topic><topic>Health Literacy - methods</topic><topic>Health Literacy - statistics & numerical data</topic><topic>Health promotion</topic><topic>Health status</topic><topic>Humans</topic><topic>Information sources</topic><topic>Internet</topic><topic>Internet - statistics & numerical data</topic><topic>Male</topic><topic>Measurement</topic><topic>Medical Informatics - methods</topic><topic>Medical Informatics - statistics & numerical data</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Mobile phones</topic><topic>Networking</topic><topic>Older people</topic><topic>Original Paper</topic><topic>Patients</topic><topic>Personal health</topic><topic>Quantitative psychology</topic><topic>Reliability</topic><topic>Reproducibility of Results</topic><topic>Social networks</topic><topic>Telemedicine - statistics & numerical data</topic><topic>Websites</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seçkin, Gül</creatorcontrib><creatorcontrib>Yeatts, Dale</creatorcontrib><creatorcontrib>Hughes, Susan</creatorcontrib><creatorcontrib>Hudson, Cassie</creatorcontrib><creatorcontrib>Bell, Valarie</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>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Library Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seçkin, Gül</au><au>Yeatts, Dale</au><au>Hughes, Susan</au><au>Hudson, Cassie</au><au>Bell, Valarie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Being an Informed Consumer of Health Information and Assessment of Electronic Health Literacy in a National Sample of Internet Users: Validity and Reliability of the e-HLS Instrument</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2016-07-11</date><risdate>2016</risdate><volume>18</volume><issue>7</issue><spage>e161</spage><epage>e161</epage><pages>e161-e161</pages><issn>1438-8871</issn><issn>1439-4456</issn><eissn>1438-8871</eissn><abstract>The Internet, with its capacity to provide information that transcends time and space barriers, continues to transform how people find and apply information to their own lives. With the current explosion in electronic sources of health information, including thousands of websites and hundreds of mobile phone health apps, electronic health literacy is gaining an increasing prominence in health and medical research. An important dimension of electronic health literacy is the ability to appraise the quality of information that will facilitate everyday health care decisions. Health information seekers explore their care options by gathering information from health websites, blogs, Web-based forums, social networking websites, and advertisements, despite the fact that information quality on the Internet varies greatly. Nonetheless, research has lagged behind in establishing multidimensional instruments, in part due to the evolving construct of health literacy itself.
The purpose of this study was to examine psychometric properties of a new electronic health literacy (ehealth literacy) measure in a national sample of Internet users with specific attention to older users. Our paper is motivated by the fact that ehealth literacy is an underinvestigated area of inquiry.
Our sample was drawn from a panel of more than 55,000 participants maintained by Knowledge Networks, the largest national probability-based research panel for Web-based surveys. We examined the factor structure of a 19-item electronic Health Literacy Scale (e-HLS) through exploratory factor analysis (EFA) and confirmatory factor analysis, internal consistency reliability, and construct validity on sample of adults (n=710) and a subsample of older adults (n=194). The AMOS graphics program 21.0 was used to construct a measurement model, linking latent factors obtained from EFA with 19 indicators to determine whether this factor structure achieved a good fit with our entire sample and the subsample (age ≥ 60 years). Linear regression analyses were performed in separate models to examine: (1) the construct validity of the e-HLS and (2) its association with respondents' demographic characteristics and health variables.
The EFA produced a 3-factor solution: communication (2 items), trust (4 items), and action (13 items). The 3-factor structure of the e-HLS was found to be invariant for the subsample. Fit indices obtained were as follows: full sample: χ(2) (710)=698.547, df=131, P<.001, comparative fit index (CFI)=0.94, normed fit index (NFI)=0.92, root mean squared error of approximation (RMSEA)=0.08; and for the older subsample (age ≥ 60 years): χ(2) (194)=275.744, df=131, P<.001, CFI=0.95, NFI=0.90, RMSEA=0.08.
The analyses supported the e-HLS validity and internal reliability for the full sample and subsample. The overwhelming majority of our respondents reported a great deal of confidence in their ability to appraise the quality of information obtained from the Internet, yet less than half reported performing quality checks contained on the e-HLS.</abstract><cop>Canada</cop><pub>Gunther Eysenbach MD MPH, Associate Professor</pub><pmid>27400726</pmid><doi>10.2196/jmir.5496</doi><orcidid>https://orcid.org/0000-0002-3633-6935</orcidid><orcidid>https://orcid.org/0000-0002-5955-4871</orcidid><orcidid>https://orcid.org/0000-0002-9522-6736</orcidid><orcidid>https://orcid.org/0000-0001-9512-1013</orcidid><orcidid>https://orcid.org/0000-0003-0013-0027</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1438-8871 |
ispartof | Journal of medical Internet research, 2016-07, Vol.18 (7), p.e161-e161 |
issn | 1438-8871 1439-4456 1438-8871 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4960406 |
source | MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central Open Access; Applied Social Sciences Index & Abstracts (ASSIA); EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | Access to information Activities of daily living Adolescent Adult Advertisements Aged Aged, 80 and over Appraisal Confirmatory factor analysis Construct validity Consumer health information Consumers Decision making Demography Empowerment Exploratory factor analysis Female Health education Health information Health literacy Health Literacy - methods Health Literacy - statistics & numerical data Health promotion Health status Humans Information sources Internet Internet - statistics & numerical data Male Measurement Medical Informatics - methods Medical Informatics - statistics & numerical data Medical research Middle Aged Mobile phones Networking Older people Original Paper Patients Personal health Quantitative psychology Reliability Reproducibility of Results Social networks Telemedicine - statistics & numerical data Websites Young Adult |
title | Being an Informed Consumer of Health Information and Assessment of Electronic Health Literacy in a National Sample of Internet Users: Validity and Reliability of the e-HLS Instrument |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T10%3A03%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Being%20an%20Informed%20Consumer%20of%20Health%20Information%20and%20Assessment%20of%20Electronic%20Health%20Literacy%20in%20a%20National%20Sample%20of%20Internet%20Users:%20Validity%20and%20Reliability%20of%20the%20e-HLS%20Instrument&rft.jtitle=Journal%20of%20medical%20Internet%20research&rft.au=Se%C3%A7kin,%20G%C3%BCl&rft.date=2016-07-11&rft.volume=18&rft.issue=7&rft.spage=e161&rft.epage=e161&rft.pages=e161-e161&rft.issn=1438-8871&rft.eissn=1438-8871&rft_id=info:doi/10.2196/jmir.5496&rft_dat=%3Cproquest_pubme%3E2512815772%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2512815772&rft_id=info:pmid/27400726&rfr_iscdi=true |