Evaluation of a Word Recognition Instrument to Test Health Literacy in Dentistry: The REALD‐99

Richman, Julia; Lee, Jessica Y.; Rozier, R. Gary; Gong, Debra A.; Pahel, Bhavna T.; Vann, William F.

doi:10.1111/j.1752-7325.2007.00022.x

Cited by 129 publications

(134 citation statements)

References 15 publications

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“…Most instruments are designed to measure general health literacy (Chew et al, 2004;Chew et al, 2008;Davis, Crouch, et al, 1991;Davis, Long, et al, 1993;Nurss, Parker, Williams, & Baker, 2001;Osborn et al, 2007;Parker et al, 1995;Powers et al, 2010;Rawson et al, 2010;Wallace et al, 2006). However, other research has emphasized the development of field-specific instruments for use in areas such as dentistry (Lee, Rozier, Lee, Bender, & Ruiz, 2007;Richman et al, 2007), diabetes (Nath et al, 2001), and genetics (Erby, Roter, Larson, & Cho, 2008). The specificity of these instruments allows assessment of condition-specific knowledge and skills.…”

Section: J Haun Et Almentioning

confidence: 99%

Measurement Variation Across Health Literacy Assessments: Implications for Assessment Selection in Research and Practice

Haun¹,

Luther²,

Dodd³

et al. 2012

Journal of Health Communication

213

162

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Section: J Haun Et Almentioning

confidence: 99%

Measurement Variation Across Health Literacy Assessments: Implications for Assessment Selection in Research and Practice

Haun¹,

Luther²,

Dodd³

et al. 2012

Journal of Health Communication

213

162

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“…Because health literacy entails a wide range of skills and dimensions, 27 2 literacy instruments were used: the Rapid Estimate of Adult Literacy in Dentistry (REALD)-30 and the Newest Vital Sign (NVS). The REALD-30 is a word recognition test specifically designed to address the needs of the dental environment.…”

Section: Measures and Variablesmentioning

confidence: 99%

Influence of Caregivers and Children’s Entry Into the Dental Care System

Divaris¹,

Lee²,

Baker³

et al. 2014

Pediatrics

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OBJECTIVES: Early preventive dental visits are essential in improving children’s oral health, especially young children at high risk for dental caries. However, there is scant information on how these children enter the dental care system. Our objectives were as follows: (1) to describe how a population-based cohort of young Medicaid-enrolled children entered dental care; and (2) to investigate the influence of caregiver characteristics on their children’s dental care–seeking patterns. METHODS: We relied on Medicaid claims and interview data of caregiver–child dyads who were enrolled in the Carolina Oral Health Literacy study during 2007–2008. The analytical cohort comprised 1000 children who had no dental visits before enrollment. Additional information was collected on sociodemographic characteristics, oral health status, health literacy, dental neglect, and access to care barriers. Our analyses relied on descriptive, bivariate, and multivariate methods. RESULTS: During the 25-month median follow-up period, 39% of the children (mean baseline age: 16 months) entered the dental care system, and 13% of their first encounters were for emergency care. Caregivers’ dental neglect emerged as a significant predictor of nonentrance. Children with reported oral health problems at baseline were more likely to enter the dental care system compared with children with better oral health, but they were also more likely to require emergency care. CONCLUSIONS: Caregivers have a pivotal role in children’s oral health and care. Interventions aimed at improving children’s oral health should involve community outreach to engage caregivers in a culturally appropriate manner when their children are infants or toddlers.

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“…The blue and purple cells (same measure/different construct and different measure/different construct, respectively) can give evidence of discriminant validity. As desired, these values relating tests of different constructs (oral and medical health) in the TOFHLiD column were larger than zero and less than 0.82, the value 21 Rapid Estimate of Adult Literacy in Dentistry, a dental health literacy word-recognition instrument: Richman et al (2007). relating tests of the same construct. However, the authors were troubled that the two values (0.52 and 0.53) were similar; the good result would have been that the value relating tests that were different in both method and construct (purple cell) would be the smallest.…”

Section: Tofhlid -Test Of Functional Health Literacy In Dentistry (Gomentioning

confidence: 85%

Quantitative Literacy on the Web of Science, 2 - Mining the Health Numeracy Literature for Assessment Items

Vacher

Chavez

2009

Numeracy

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A topic search of the Web of Science (WoS) database using the term "numeracy" produced a bibliography of 293 articles, reviews and editorial commentaries (Oct 2008). The citation graph of the bibliography clearly identifies five benchmark papers (1995)(1996)(1997)(1998)(1999)(2000)(2001), four of which developed numeracy assessment instruments. Starting with the 80 papers that cite these benchmarks, we identified a set of 25 papers (1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008) in which the medical research community reports the development and/or application of health-numeracy assessments. In all we found 10 assessment instruments from which we have compiled a total of 48 assessment items. There are both general and context-specific tests, with the wide range in the latter illustrated by names such as the Diabetes Numeracy Test and the Asthma Numeracy Questionnaire. There is also a Medical Data Interpretation Test and a Subjective Numeracy Scale. Much of this literature discusses the validity and reliability of the test, and many papers include item-by-item results of the tests from when they were applied in the research reported in the papers. The research that used the tests was directed at exploring such subjects as the patients' ability to evaluate risks and benefits in order to make informed decisions; to understand and carry out instructions in order to self-manage their medical conditions; and, in research settings, to understand what the researchers were asking in their assessments (e.g., quantified quality of life) that require comparison of numerical information. We present the collection of items as a potential resource for educators interested in numeracy assessments in context.

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Evaluation of a Word Recognition Instrument to Test Health Literacy in Dentistry: The REALD‐99

Cited by 129 publications

References 15 publications

Measurement Variation Across Health Literacy Assessments: Implications for Assessment Selection in Research and Practice

Measurement Variation Across Health Literacy Assessments: Implications for Assessment Selection in Research and Practice

Influence of Caregivers and Children’s Entry Into the Dental Care System

Quantitative Literacy on the Web of Science, 2 - Mining the Health Numeracy Literature for Assessment Items

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