BACKGROUND: Health literacy (HL) has been recognized as an important public health issue in other developed countries such as the US. There is currently no HL screening tool valid for use in the UK. This study aimed to validate a US-developed HL screening tool (the Rapid Estimate for Adult Literacy in Medicine; REALM) for use in the UK against the UK's general literacy screening tool (the Basic Skills Agency Initial Assessment Test, BSAIT). METHODS: A cross-sectional survey involving 300 adult patients admitted to hospital for investigation of coronary heart disease were given the REALM and BSAIT tools to complete as well as specific questions considered likely to predict HL. These questions relate to the difficulty in understanding medical information, medical forms or instructions on tablets, frequency of reading books and whether the participant's job involves reading. RESULTS: The REALM was significantly correlated with the BSAIT (r = 0.70; P < 0.001), and significantly related to seven of the eight questions likely to be predictive of HL. CONCLUSIONS: This study has shown that the REALM has face, criterion and construct validity for use as an HL screening tool in the UK, in research and in everyday clinical practice. Further studies are needed to assess the prevalence of low HL in a wider population and to explore the links that may exist between low HL and poor health in the UK.
BACKGROUND: Health literacy (HL) has been recognized as an important public health issue in other developed countries such as the US. There is currently no HL screening tool valid for use in the UK. This study aimed to validate a US-developed HL screening tool (the Rapid Estimate for Adult Literacy in Medicine; REALM) for use in the UK against the UK's general literacy screening tool (the Basic Skills Agency Initial Assessment Test, BSAIT). METHODS: A cross-sectional survey involving 300 adult patients admitted to hospital for investigation of coronary heart disease were given the REALM and BSAIT tools to complete as well as specific questions considered likely to predict HL. These questions relate to the difficulty in understanding medical information, medical forms or instructions on tablets, frequency of reading books and whether the participant's job involves reading. RESULTS: The REALM was significantly correlated with the BSAIT (r = 0.70; P < 0.001), and significantly related to seven of the eight questions likely to be predictive of HL. CONCLUSIONS: This study has shown that the REALM has face, criterion and construct validity for use as an HL screening tool in the UK, in research and in everyday clinical practice. Further studies are needed to assess the prevalence of low HL in a wider population and to explore the links that may exist between low HL and poor health in the UK.
Authors: Kristine Sørensen; Stephan Van den Broucke; James Fullam; Gerardine Doyle; Jürgen Pelikan; Zofia Slonska; Helmut Brand Journal: BMC Public Health Date: 2012-01-25 Impact factor: 3.295
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Authors: Paul A Bourne; Chloe Morris; Christopher Ad Charles; Denise Eldemire-Shearer; Maureen D Kerr-Campbell; Tazhmoye V Crawford Journal: Patient Relat Outcome Meas Date: 2010-05-26
Authors: Gill Rowlands; Nina Khazaezadeh; Eugene Oteng-Ntim; Paul Seed; Suzanne Barr; Barry D Weiss Journal: BMC Public Health Date: 2013-02-07 Impact factor: 3.295