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Functional Health Literacy Test

FHLT Functional Health Literacy Test Xu-Hao Zhang

Zhang, X.H., Thumboo, J., Fong, K.Y., & Li, S.C. (2009). Development and validation of a functional health literacy test. Patient, 2(3):169-78.

2009

Cloze-style reading comprehension of health related content

3 21 1

Sum score categorized as proficient literacy (score >82), basic literacy (70–81), and below basic literacy (score <70)

223

Maze procedure, expert judgment, and interviews with 55 respondents were used to develop the 21-item FHLT, which was modified from public health education material entitled Guidelines on Taking Medicines, published by the Singapore Health Promotion Board.

Convergent: REALM r=0.65 public and REALM r=0.68 rheumatic; Divergent: Edu r=0.33 public and
Edu r=0.28 rheumatic

Test-retest reliability of the Functional Health Literacy Test among rheumatic patients was shown to be high (ICC = 0.95). sharon.x.zhang@gsk.com Department of Pharmacy, National University of Singapore, Singapore https://www.ncbi.nlm.nih.gov/pubmed/22273168 Information seeking: Document Malaysia Yes Paper and pencil General Adults: 18 to 64 years English Objective

Medical Term Recognition Test

METER Medical Term Recognition Test Katherine Rawson

Rawson, K.A., Gunstad, J., Hughes, J., Spitznagel, M.B., Potter, V., Waechter, D., & Rosneck, J. (2010). The METER: a brief, self-administered measure of health literacy. J Gen Intern Med, 25 (1):67-71.

2010

Medical word recognition test

1 40

Possible range: 0-40, with 0-20: low HL, 210-34: marginal HL, and 35-40: functional HL

148 2 minutes

40 medical words and 40 non-medical words

Convergent: REALM r=0.74; Concurrent: Trial-Making r= -0.42 and CDV health r=0.21

krawson1@kent.edu Department of Psychology, Kent State University, P.O. Box 5190, Kent, OH, United States of America http://www.ncbi.nlm.nih.gov/pubmed/19885705 /sites/default/files/webform/suggest-measure/126/meter20form.pdf Prose: Comprehension United States of America Yes Paper and pencil, Face-to-face Health Promotion Adults: 18 to 64 years English Objective

Health Literacy Skills Instrument- Short Form

HLSI-10 Health Literacy Skills Instrument- Short Form Carla Bann

Bann, C.M., McCormack, L.A., Berkman, N.D., Squiers, L.B. (2012). The Health Literacy Skills Instrument: a 10-item short form. J Health Commun, 17 Suppl 3:191-202.

2012

Survey items to assess ability to read and understand text, and locate and interpret information for use in decision making

2 10

Percentage of items scored correctly, with 3 categories used for overall scoring on the instrument: proficient literacy (score of 82 or more); basic literacy (score of 70-81); and below basic literacy (score of 70 or less)

889 5 minutes

Expert panel included in development process. Uses real world stimuli. User pre-testing conducted as part of development process.

As hypothesized, the HLSI was moderated correlated with the S-TOFHLA (r=0.36). Correlations between the health literacy domains in the HLSI and the S-TOFHLA were highest for the print-prose, print-document, and print-quantitative skill area and much lower for the Internet and oral literacy domains as expected.

HLSI-SF demonstrated acceptable internal consistency reliability for use in group-level comparisons. It has many of the same advantages of the longer version but with less adminstration time.

Lmac@rti.org RTI International, 3040 Cornwallis Road, Research Triangle Park, NC, United States of America http://www.ncbi.nlm.nih.gov/pubmed/23030570 https://www.rti.org/impact/health-literacy-skills-instrument-hlsi Numeracy, Information seeking: Interactive media navigation, Information seeking: Document, Communication: Listener United States of America No Paper and pencil, Face-to-face, Computer-based General Adults: 18 to 64 years English Objective

Health Literacy Assessment Using Talking Touchscreen Technology

Health LiTT Health Literacy Assessment Using Talking Touchscreen Technology Elizabeth Hahn

Hahn, E.A., Choi, S.W., Griffith, J.W., Yost, K.J., & Baker, D.W. (2011). Health literacy assessment using talking touchscreen technology (Health LiTT): a new item response theory-based measure of health literacy. J Health Commun, 16 Suppl 3:150-62.

2011

Health LiTT defines health literacy as “the degree to which individuals have the capacity to read and comprehend health-related print material, identify and interpret information presented in graphical format (charts, graphs, tables), and perform arithmetic operations in order to make appropriate health and care decisions” (Yost et al., 2009, p.298) . This definition encompasses an individual’s capacity to process and understand health-related information, and the ability to apply that information in the management of her/his own health. The capacity to obtain information, which is part of previous definitions (Nielsen-Bohlman et al., 2004) is a navigation skill that requires a different measurement tool.

3 82 1

Item response theory T-score (mean=50, SD=10); categories can be created if needed.

0 minutes 608 18 minutes

Several iterations of internal and external review- English and Spanish Item Development and Translation Advisory Panels (IDTAP) were assembled to provide ongoing input on item content, difficulty and quality

Spearman or Pearson correlations between Health LiTT and:

- TOFHLA Total, r=0.65
- TOFHLA Reading, r=0.67
- TOFHLA Numeracy, r=0.52

- REALM, r=0.69

- NVS, r=0.56

- WRAT-4 Word Reading Subtest, r=0.45

- Peabody Picture Vocabulary Test, r=0.46

Total Health LiTT score meets the psychometric standards of 0.90 or higher for individual measurement.

e-hahn@northwestern.edu Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 633 N. St. Clair St., Suite 1900, Chicago, IL, United States of America https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3269120/pdf/nihms351405.pdf http://www.healthlitt.org/HealthLiteracyMeasures/Demo/Pages/default.aspx healthlitt@northwestern.edu Prose: Comprehension, Numeracy, Information seeking: Interactive media navigation, Information seeking: Document United States of America No Computer-based Health Promotion Older Adults: 65+ years, Adults: 18 to 64 years English Objective

Numeracy Understanding in Medicine Instrument

NUMi Numeracy Understanding in Medicine Instrument Marilyn Schapira

Schapira, M.M., Walker, C.M., Cappaert, K.J., Ganschow, P.S., Fletcher, K.E., McGinley, E.L., Del Pozo, S., Schauer, C., Tarima, S., & Jacobs, E.A. (2012). The numeracy understanding in medicine instrument: a measure of health numeracy developed using item response theory. Med Decis Making, 32(6):851-65.

2012

Examines ability to communicate, and participate in one's health and medical decisions

2 20

Sum score

1000

Expert panel included in development process (bilingual clinicians, expertise in patient-physician communication, health print and numeracy, adult education, cross-cultural survey research). Items were cognitively tested.

Performance on the NUMi was strongly correlated with the Wide Range Achievement Test–Arithmetic (0.73, P<0.001), the Lipkus Expanded Numeracy Scale (0.69, P< 0.001), the Medical Data Interpretation Test (0.75, P< 0.001), and the Wonderlic Cognitive Ability Test (0.82, P<0.001). Performance was moderately correlated to the Short Test of Functional Health Literacy (0.43, P <0.001).

mschap@upenn.edu Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, United States of America http://www.ncbi.nlm.nih.gov/pubmed/22635285 http://www.med.upenn.edu/numi/ Numeracy United States of America No Paper and pencil, Face-to-face Health Promotion Adults: 18 to 64 years English Objective 0.860

Swiss Health Literacy Survey

HLS-CH Swiss Health Literacy Survey Jen Wang

Wang, J., Thombs, B.D., & Schmid, M.R. (2014). The Swiss Health Literacy Survey: development and psychometric properties of a multidimensional instrument to assess competencies for health. Health Expect, 17(3):396-417.

2012

Survey items to assess ability to seek, understand, and use health information in the health care setting

3 73

Independent scales measuring different aspects of health literacy to produce a health literacy needs profile

1255 30 minutes

The list of competencies was compiled based on the work of numerous leading experts in the field of health literacy, self-management, patient education, patient empowerment, shared decisionmaking. Included a broad list of competencies.

jwang@ifspm.uzh.ch Institute for Social and Preventive Medicine, University of Zurich, Zurich, Switzerland http://www.ncbi.nlm.nih.gov/pubmed/22390287 Prose: Comprehension, Numeracy, Information seeking: Interactive media navigation, Application/function Switzerland No Phone-based, Face-to-face Health Promotion Adults: 18 to 64 years, Adolescents: 10 to 17 years English Self-reported

Health Literacy Questionnaire (HLQ)

HLQ Health Literacy Questionnaire (HLQ) Richard Osborne

Osborne, R.H., Batterham, R.W., Elsworth, G.R., Hawkins, M., & Buchbinder, R. (2013). The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ). BMC Public Health, 13:658. https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-13…

2013

The Health Literacy Questionnaire (HLQ) is now one of the most widely used health literacy measures in the world. Over 800 studies are using the HLQ across diseases, settings and countries.
Health literacy is multidimensional therefore we developed a series of independent measures to measure it. It is used for surveys, trials, PREM/PROM assessments, and evaluation over time. Each scale efficiently measures one of nine aspects of health literacy (each scale with 4 to 6 items). You can use one of the scales to measure Functional Health Literacy (with a total of 5 items, akin to a screener). It also measures eight other elements to ensure you measure the full construct of health literacy. Consequently, a short version is not encouraged, many groups use 2 or more health literacy scales (aspects of health literacy), measuring there concepts on interest well and specifically.

The HLQ was developed and tested over many years using the contemporary theoretical validity testing approach. It was designed for and is used in national surveys, clinical trials, general surveys, for quality improvement, evaluation studies, and, importantly, to uncover mechanisms behind health inequalities to inform intervention development. It has been found to be useful at the patient-clinician level. Each scale is reliable and generates key information about an individual's perceived health literacy abilities, and their experiences. It was designed to be sensitive to change, identifying small differences between populations, and changes over time. These characteristics have been repeatedly demonstrated. As each scale is independent, only one or some of the 9 scales need to be used to answer your specific research questions or evaluate specific outcomes. To measure the full multidimensional concept of health literacy, all nine scales are required.

The HLQ is a generic scale. This is deliberate because these days the majority of people have more than one disease - and it is not really possible for respondents to just focus on one part of their life. We recommend the use of disease-specific scales with the HLQ. The HLQ also assists teams to take a strengths-based approach, that is identifying individuals' and groups' mix of strengths, challenges, and preferences. This means that HLQ users not only get rich information on what is really going on for respondents but also what can be done to help them in the areas of health, access, and equity.

Each year, independent validity testing studies are undertaken in a range of cultures and languages. These studies are generally highly robust and consistently demonstrate that the original 9-scale structure holds and is reproducible. This level of reproducibility is rare in the patient-reported outcomes field. See this paper for a critique of if the field: https://gh.bmj.com/content/7/9/e009623

3 44

Independent scales measuring health literacy on a continuous scale. Scores range between 1 to 4 (for first 5 scales) and 1 to 5 (for scales 6 to 9).

0 minutes 1039 7 minutes

Items were generated through grounded processes using Concept Mapping, which systematically captures the views of the target populations. Several populations were consulted: general population, patients, healthcare providers and policymakers. Items were derived directly from consumer's statements. Items were cognitively tested, then tested with 2 diverse populations (calibration and replication samples). Extensive consultation with practitioners further provided evidence of content validity. Content has been confirmed in a wide range of settings and countries.

The nine HLQ scales capture peoples' lived experiences of trying to understand, access and engage with health information and health services and are unique aspects of health literacy. Consequently there are few direct comparisons with other scales. One of the nine scales, scale 9. "Understanding health information well enough to know what to do", is most highly correlated with common functional scales such as the TOFHLA or NVS.

In most settings, alpha > 0.8 for most scales. Due to the known weaknesses of Cronbach's alpha (ie that a high number of items results in artificially high alpha, and that its calculation is based on a normal distribution of the data and equidistance between response options), we recommend calculation of composite reliability. In most settings, the composite reliability is above 0.8 which means it is suitable for research and development purposes.

info@healthliteracydevelopment.com Centre for Global Health and Equity, Swinburne University of Technology, Hawthorne, VIC, Australia https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-13-658 http://www.deakin.edu.au/health/research/phi/health-litracy-questionnaire.php HLQ-info@swin.edu.au Prose: Comprehension, Numeracy, Information seeking: Document, Communication: Speaker, Application/function South Korea, Ghana, United States of America, Brazil, Denmark, Brunei Darussalam, The Netherlands, Egypt, Germany, Slovakia, Norway No Phone-based, Paper and pencil, Mailed survey, Face-to-face, Computer-based General Older Adults: 65+ years, Adults: 18 to 64 years English Self-reported 0.800

Health Literacy Management Scale (HeLMS)

HeLMS Health Literacy Management Scale (HeLMS) Joanne Jordan

Jordan, J.E., Buchbinder, R., Briggs, A.M., Elsworth, G.R., Busija, L., Batterham, R., & Osborne, R.H. (2013). The health literacy management scale (HeLMS): a measure of an individual's capacity to seek, understand and use health information within the healthcare setting. Patient Educ Couns, 91(2):228-35.

2013

Survey items to assess the ability to seek, understand, and use health information within the health care setting. Weaknesses in items and breadth of the scale led to the development of a completely new scale, the Health Literacy Questionnaire (HLQ) which has become, in recent years, the most widely used HL questionnaire with the strongest psychometric properties of any HL questionnaire in the world.
See https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-13…
info@healthliteracydevelopment.com

3 29

Mean score of each domain

683

Content areas were identified from a conceptual framework derived from interviews and concept mapping, along with construction and replication samples utilized to test the items.

Good to excellent test-retest reliability with ICC ranging from 0.73-0.96 across the 8 domains info@healthliteracydevelopment.com Centre for Global Health and Equity, Swinburne University of Technology, Melbourne, Victoria, Australia http://www.ncbi.nlm.nih.gov/pubmed/23419326 Prose: Comprehension, Information seeking: Document, Application/function Australia No Paper and pencil General Adults: 18 to 64 years English Self-reported

All Aspects of Health Literacy Scale

AAHLS All Aspects of Health Literacy Scale Deborah Chinn

Chinn, D., & McCarthy, C. (2013). All Aspects of Health Literacy Scale (AAHLS): developing a tool to measure functional, communicative and critical health literacy in primary healthcare settings. Patient Educ Couns, 90(2):247-53.

2013

To measure functional, communicative, and critical health literacy

1 14

Sum score

146 7 minutes

Scale items loaded on 4 factors, corresponding to skills in using written health information, communicating with health care providers, health information management, and appraisal assertion of individual automomy with regards to health.

Overall scale had adequate reliability, but the reliability of the subscales was reported as less consistent.

deborah.chinn@kcl.ac.uk Florence Nightingale School of Nursing and Midwifery, King's College London, London, United Kingdom http://www.ncbi.nlm.nih.gov/pubmed/23206659 /sites/default/files/webform/suggest-measure/161/aahls20tool.pdf Application/function United Kingdom No Paper and pencil General Adults: 18 to 64 years English Self-reported 0.740

General Health Numeracy Test

GHNT-21 General Health Numeracy Test Chandra Osborn

Osborn, C.Y., Wallston, K.A., Shpigel, A., Cavanaugh, K., Kripalani, S., & Rothman, R.L. (2013). Development and validation of the General Health Numeracy Test (GHNT). Patient Educ Couns, 91(3):350-6.

2013

Assessment of a patient's health numeracy status

1 21

Percentage correct

205

Expert panel helped to develop items

Sample reported high rates of limited numeracy skills. <20% of sample had limited health literacy skills according to the REALM, approximately two thirds had limited numeracy skills according to the WRAT-3, and the average percent correct on the GHNT-21was 56%.

KR-20 not alpha

chandra.osborn@vanderbilt.edu Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3644342/pdf/nihms449591.pdf http://www.pec-journal.com/article/S0738-3991(13)00006-2/abstract?cc=y= /sites/default/files/webform/suggest-measure/166/ghnt21206_3_09.pdf Prose: Comprehension, Numeracy, Information seeking: Interactive media navigation, Application/function United States of America No Paper and pencil, Face-to-face General Adults: 18 to 64 years English Objective 0.087

General Health Numeracy Test Short Form

GHNT-6 General Health Numeracy Test Short Form Chandra Osborn

Osborn, C.Y., Wallston, K.A., Shpigel, A., Cavanaugh, K., Kripalani, S., & Rothman, R.L. (2013). Development and validation of the General Health Numeracy Test (GHNT). Patient Educ Couns, 91(3):350-6.

2013

Assessment of a patient's health numeracy status

1 6

Percentage correct

205 6 minutes

Expert panel helped to develop items

Sample reported high rates of limited numeracy skills. <20% of sample had limited health literacy skills according to the REALM, approximately two thirds had limited numeracy skills according to the WRAT-3, and the average percent correct on the GHNT-6 was 42%.

KR-20 not alpha

chandra.osborn@vanderbilt.edu Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3644342/pdf/nihms449591.pdf http://www.pec-journal.com/article/S0738-3991(13)00006-2/abstract?cc=y= /sites/default/files/webform/suggest-measure/171/ghnt_620.pdf Prose: Comprehension, Numeracy, Information seeking: Interactive media navigation, Application/function United States of America No Paper and pencil General Adults: 18 to 64 years English Objective 0.770

Literacy Assessment for Diabetes

LAD Literacy Assessment for Diabetes Charlotte Nath

Nath, C.R., Sylvester, S.T., Yasek, V., & Gunel, E. (2001). Development and validation of a literacy assessment tool for persons with diabetes. Diabetes Educ, 27(6):857-64.

2001

Diabetes word recognition test

1 60 0

Sum score (0–60) can be converted to 3 grade range categories: 4th grade or less, 5th through 8th grade, and 9th grade or more

5 minutes 203 4 minutes

Vocabulary was reviewed by diabetes and literacy experts who agreed the LAD had content validity.

LAD showed high concurrent validity by a correlation coefficient of 0.81 with the WRAT3 and 0.90 with the REALM.

interclass correlation coefficient of reliability of 0.86 (P<.0001) Katherine.waite@bmc.org 43 Linwood Rd, Morgantown, WV, United States of America http://www.ncbi.nlm.nih.gov/pubmed/12211925 http://medicine.hsc.wvu.edu/fammed/Service/Literary-Assessment-for-Diabetes-%28… /sites/default/files/webform/suggest-measure/176/literacy20assessment20for20diabetes202-00.pdf Prose: Pronunciation United States of America Yes Face-to-face Diabetes Adults: 18 to 64 years English Objective

Test of Functional Health Literacy in Dentistry

TOFHLA iD Test of Functional Health Literacy in Dentistry Debra Gong

Gong, D.A., Lee, J.Y., Rozier, R.G., Pahel, B.T., Richman, J.A., & Vann, W.F., Jr. (2007). Development and testing of the Test of Functional Health Literacy in Dentistry (TOFHLiD). J Public Health Dent, 67(2):105-12.

2007

Measure of functional oral health literacy

1 68 1

Weighted score (0–100)

102

A panel of pediatric and public health dentists reviewed patient education and instructional materials used in the UNC-Chapel Hill pediatric dental clinic and slected a sample from these materials to use in the TOFHLiD.

Jessica_lee@dentistry.unc.edu Department of Pediatric Dentistry CB 7450, University of North Carolina, Chapel Hill, NC, United States of America http://www.ncbi.nlm.nih.gov/pubmed/17557682 /sites/default/files/webform/suggest-measure/181/tofhlid_instrument.pdf Prose: Comprehension, Numeracy United States of America No Face-to-face Dental Health Adults: 18 to 64 years English Objective 0.630

Nutritional Literacy Scale

NLS Nutritional Literacy Scale James Diamond

Diamond, J.J. (2007). Development of a reliable and construct valid measure of nutritional literacy in adults. Nutr J, 6:5.

2007

Understanding of nutrition label

3 28

Sum score

341

NLS covers major consumer-related topics in nutrition.

Pearson correlation between the NLS and the S-TOFHLA was 0.61.

james.diamond@jefferson.edu Department of Family and Community Medicine, Jefferson Medical College, 1015 Walnut Street, Suite 401, Philadelphia, PA, United States of America https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1804274/pdf/1475-2891-6-5.pdf Prose: Comprehension United States of America No Paper and pencil, Mailed survey, Face-to-face Nutrition Adults: 18 to 64 years English Objective 0.840

Rapid Estimate of Adult Literacy in Dentistry

REALD-99 Rapid Estimate of Adult Literacy in Dentistry Julia Richman

Richman, J.A., Lee, J.Y., Rozier, R.G., Gong, D.A., Pahel, B.T., & Vann, W.F., Jr. (2007). Evaluation of a word recognition instrument to test health literacy in dentistry: the REALD-99. Public Health Dent, 67(2):99-104.

2007

Word recognition in dentistry

1 99 0

Sum score (0–99)

102 7 minutes

All words were taken from the American Dental Association's Glossary of Common Dental Terminology. Words or terms were also included from patient brochures and written materials provided at the University of North Carolina at Chapel Hill (UNC-CH) School of Dentistry

REALD-99 was correlated positively with the REALM (Pearson correlation coefficient = 0.80, P< 0.05). REALD-99 was associated with parents' Oral Health Impact Profile Short Form score (OHIP-14) score in multi-variate analysis.

julia.richman@gmail.com 36828 SE Braeburn Street, Snoqualmie, WA, United States of America http://www.ncbi.nlm.nih.gov/pubmed/17557681 /sites/default/files/webform/suggest-measure/191/examiner20reald_99.pdf Prose: Pronunciation United States of America No Face-to-face Dental Health Adults: 18 to 64 years English Objective 0.860

Rapid Estimate of Adult Literacy in Dentistry 30 Short Form

REALD 30 Rapid Estimate of Adult Literacy in Dentistry 30 Short Form Jessica Lee

Lee, J.Y., Rozier, R.G., Lee, S.Y.D., Bender. D., & Ruiz, R.E. (2007). Development of a word recognition instrument to test health literacy in dentistry: The REALD-30--A brief communication. J Pub Health Dent, 67 (2): 94-98.

2007

Word recognition in dentistry

1 30

Sum score (0–30)

202 5 minutes

All words werer taken from the American Dental Association's Glossary of Common Dental Terminology. Words or terms were also included from patient brochures and written materials provided at the University of North Carolina at Chapel Hill (UNC-CH) School of Dentistry

Significantly (p= 0.05) positively correlated with the REALM (0.86) and TOFHLA (0.64).

jessica_lee@unc.edu Department of Pediatric Dentistry, University of North Carolina, 228 Brauer Hall, Chapel Hill, NC, United States of America http://www.ncbi.nlm.nih.gov/pubmed/17557680 /sites/default/files/webform/suggest-measure/196/reald_30.pdf Prose: Pronunciation United States of America No Face-to-face Dental Health Adults: 18 to 64 years English Objective 0.870

Diabetes Numeracy Test

DNT Diabetes Numeracy Test Mary Margaret Huizinga

Huizinga, M.M., Elasy, T.A., Wallston, K.A., Cavanaugh, K., Davis, D., Gregory, R.P., Fuchs, L.S., Malone, R., Cherrington, A., DeWalt, D.A., Buse, J., Pignone, M., & Rothman, R.L. (2008). Development and validation of the Diabetes Numeracy Test (DNT). BMC Health Serv Res, 8:96.

2008

Diabetes literacy and numeracy skill assessment

1 43

Percentage correct

398 33 minutes

DNT items were developed by an expert panel (comprised of diabetes, literacy, and numeracy expertise) and refined using cognitive response interviews with potential respondents.

Education P<0.0001, Income P<0.0001, REALM P<0.0001, WRAT P< 0.0001, DKT P<0.0001, and Insulin use P 0.4313

mary.margaret.huizinga@vanderbilt.edu Diabetes Research and Training Center,, Vanderbilt University Medical Center, Nashville, TN, United States of America https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2390531/pdf/1472-6963-8-96.pdf https://www.mc.vanderbilt.edu/root/vumc.php?site=CDTR&doc=37816 /sites/default/files/webform/suggest-measure/201/diabetes20numeracy20test20eng.pdf Prose: Comprehension, Numeracy, Application/function United States of America No Paper and pencil, Face-to-face Diabetes Adults: 18 to 64 years English Objective

Diabetes Numeracy Test Short Form

DNT15 Diabetes Numeracy Test Short Form Mary Margaret Huizinga

Huizinga, M.M., Elasy, T.A., Wallston, K.A., Cavanaugh, K., Davis, D., Gregory, R.P., Fuchs, L.S., Malone, R., Cherrington, A., DeWalt, D.A., Buse, J., Pignone, M., & Rothman, R.L. (2008). Development and validation of the Diabetes Numeracy Test (DNT). BMC Health Serv Res, 8:96.

2008

Diabetes literacy and numeracy skill assessment

1 15

Percentage correct

398

DNT items were developed by an expert panel and refined using cognitive response interviews with potential respondents.

Education P<0.0001, Income P<0.0001, REALM P<0.0001, WRAT P< 0.0001, DKT P<0.0001, and Insulin use P 0.4313

mimi.huizinga@vanderbilt.edu Diabetes Research and Training Center,, Vanderbilt University Medical Center, Nashville, TN, United States of America https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2390531/pdf/1472-6963-8-96.pdf https://www.mc.vanderbilt.edu/root/vumc.php?site=CDTR&doc=37816 /sites/default/files/webform/suggest-measure/206/dnt1520rev20508.pdf Prose: Comprehension, Numeracy, Application/function United States of America No Paper and pencil Diabetes Adults: 18 to 64 years English Objective

Rapid Estimate of Adult Literacy in Genetics

REAL-G Rapid Estimate of Adult Literacy in Genetics Lori Erby

Erby, L.H., Roter, D., Larson, S., & Cho, J. (2008). The rapid estimate of adult literacy in genetics (REAL-G): a means to assess literacy deficits in the context of genetics. Am J Med Genet A, 146A(2):174-81.

2008

Word recognition in genetics

1 64 0

Sum score 0–21 = estimated literacy level less than 4th grade, 22–50 4th through 6th grade, 51–60 7th to 8th grade, and 61–63 high school

203

3-stage method used in instrument development including derivation of terms from transcripts of visits conducted by over 150 prenatal and genetic counselors

Scores between the REALM and REAL-G were strongly correlated (Spearman's rank correlation= 0.8., P<0.0001).

lori.erby@nih.gov 31 Center Drive, B1B36, Bethesda, MD, United States of America http://www.ncbi.nlm.nih.gov/pubmed/18076116 /sites/default/files/webform/suggest-measure/211/realg202008.pdf Prose: Pronunciation, Prose: Comprehension United States of America Yes Face-to-face Genetics Adults: 18 to 64 years English Objective

Rapid Estimate of Adult Literacy in Genetics (short form)

REAL-G Short Form Rapid Estimate of Adult Literacy in Genetics (short form) Lori Erby

Erby, L.H., Roter, D., Larson, S., & Cho, J. (2008). The rapid estimate of adult literacy in genetics (REAL-G): a means to assess literacy deficits in the context of genetics. Am J Med Genet A, 146A(2):174-81.

2008

Word recognition in genetics

1 8

Sum score 0–21 = estimated literacy level less than 4th grade, 22–50 4th through 6th grade, 51–60 7th to 8th grade, and 61–63 high school

203

3-stage method used in instrument development for the long form including derivation of terms from transcripts of visits conducted by over 150 prenatal and genetic counselors

Scores on 8-item REALM and REAL-G 8-item short form were strongly correlated (Spearman's rank correlation= 0.80: P<0.0001). Short form also strongly correlated with the full version of the REALM (Spearman's rank correlation= 0.80, P<0.0001) and the full version of the REAL-G (Spearman's rank correlation=0.92, P<0.0001).

lori.erby@nih.gov 32 Center Drive, B1B36, Bethesda, MD, United States of America http://www.ncbi.nlm.nih.gov/pubmed/18076116 Prose: Pronunciation, Prose: Comprehension United States of America Yes Face-to-face Genetics Adults: 18 to 64 years English Objective
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