Evidence map›Paper›PMID 22967200›Full record

ArticleBMC medical informatics and decision making2012

Health numeracy in Japan: measures of basic numeracy account for framing bias in a highly numerate population.

Masako Okamoto, Yasushi Kyutoku, Manabu Sawada, Lester Clowney, Eiju Watanabe, Ippeita Dan, Keiko Kawamoto

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Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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10citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. The 14-item health literacy scale for Japanese adults (HLS-14).Environmental health and preventive medicine · 2013
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Masako OkamotoResearch Center for Animal Hygiene and Food Safety, Obihiro University of Agriculture & Veterinary Medicine, Inada-cho, Obihiro, Hokkaido 080-8555, Japan. masakoo@obihiro.ac.jp
Yasushi Kyutoku
Manabu Sawada
Lester Clowney
Eiju Watanabe
Ippeita Dan
Keiko Kawamoto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth numeracy is an important factor in how well people make decisions based on medical risk information. However, in many countries, including Japan, numeracy studies have been limited.

methodsTo fill this gap, we evaluated health numeracy levels in a sample of Japanese adults by translating two well-known scales that objectively measure basic understanding of math and probability: the 3-item numeracy scale developed by Schwartz and colleagues (the Schwartz scale) and its expanded version, the 11-item numeracy scale developed by Lipkus and colleagues (the Lipkus scale).

resultsParticipants' performances (n = 300) on the scales were much higher than in original studies conducted in the United States (80% average item-wise correct response rate for Schwartz-J, and 87% for Lipkus-J). This high performance resulted in a ceiling effect on the distributions of both scores, which made it difficult to apply parametric statistical analysis, and limited the interpretation of statistical results. Nevertheless, the data provided some evidence for the reliability and validity of these scales: The reliability of the Japanese versions (Schwartz-J and Lipkus-J) was comparable to the original in terms of their internal consistency (Cronbach's α = 0.53 for Schwartz-J and 0.72 for Lipkus-J). Convergent validity was suggested by positive correlations with an existing Japanese health literacy measure (the Test for Ability to Interpret Medical Information developed by Takahashi and colleagues) that contains some items relevant to numeracy. Furthermore, as shown in the previous studies, health numeracy was still associated with framing bias with individuals whose Lipkus-J performance was below the median being significantly influenced by how probability was framed when they rated surgical risks. A significant association was also found using Schwartz-J, which consisted of only three items.

conclusionsDespite relatively high levels of health numeracy according to these scales, numeracy measures are still important determinants underlying susceptibility to framing bias. This suggests that it is important in Japan to identify individuals with low numeracy skills so that risk information can be presented in a way that enables them to correctly understand it. Further investigation is required on effective numeracy measures for such an intervention in Japan.

Indexed as

Decision MakingHealth StatusPopulation SurveillanceAdultAgedFemaleHealth LiteracyHospitalsHumansJapanLikelihood FunctionsMaleMiddle AgedPsychometricsReproducibility of ResultsRisk Assessment

Identifiers

PMID22967200
PMCPMC3511058

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.