Assessment of single-item literacy questions, age, and education level in the prediction of low health numeracy
OBJECTIVE: Determining a patient's health literacy is important to optimum patient care. Single-item questions exist for screening written health literacy. We sought to assess the predictive potential of three common screening questions, along with patient age and education level, in the prediction of low health numerical literacy (numeracy).
METHODS: After demographic and educational information was obtained, 441 patients were administered three health literacy screening questions. The three-item Schwartz-Woloshin Numeracy Scale was then administered to assess for low health numeracy (score of 0 out of 3). This score served as the reference standard for Receiver Operating Characteristics (ROC) curve analysis. ROC curves were constructed and used to determine the area under the curve (AUC); a higher AUC suggests increased statistical significance.
RESULTS: None of the three screening questions were significant predictors of low health numeracy. However, education level was a significant predictor of low health numeracy, with an AUC (95% CI) of 0.811 (0.720-0.902). This measure had a specificity of 95.3% at the cutoff of 12 years of education (<12 versus > or = 12 years of education) but was non-sensitive.
CONCLUSION: Common single-item questions used to screen for written health literacy are ineffective screening tools for health numeracy. However, low education level is a specific predictor of low health numeracy.
Errataetall: | |
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Medienart: |
Artikel |
Erscheinungsjahr: |
2013 |
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Erschienen: |
2013 |
Enthalten in: |
Zur Gesamtaufnahme - volume:26 |
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Enthalten in: |
JAAPA : official journal of the American Academy of Physician Assistants - 26(2013), 8 vom: 19. Aug., Seite 50-4 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Johnson, Tim V [VerfasserIn] |
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Themen: |
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Anmerkungen: |
Date Completed 17.12.2013 Date Revised 09.04.2022 published: Print CommentIn: JAAPA. 2013 Aug;26(8):11. - PMID 24049932 Citation Status MEDLINE |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM231002742 |
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245 | 1 | 0 | |a Assessment of single-item literacy questions, age, and education level in the prediction of low health numeracy |
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500 | |a Date Revised 09.04.2022 | ||
500 | |a published: Print | ||
500 | |a CommentIn: JAAPA. 2013 Aug;26(8):11. - PMID 24049932 | ||
500 | |a Citation Status MEDLINE | ||
520 | |a OBJECTIVE: Determining a patient's health literacy is important to optimum patient care. Single-item questions exist for screening written health literacy. We sought to assess the predictive potential of three common screening questions, along with patient age and education level, in the prediction of low health numerical literacy (numeracy) | ||
520 | |a METHODS: After demographic and educational information was obtained, 441 patients were administered three health literacy screening questions. The three-item Schwartz-Woloshin Numeracy Scale was then administered to assess for low health numeracy (score of 0 out of 3). This score served as the reference standard for Receiver Operating Characteristics (ROC) curve analysis. ROC curves were constructed and used to determine the area under the curve (AUC); a higher AUC suggests increased statistical significance | ||
520 | |a RESULTS: None of the three screening questions were significant predictors of low health numeracy. However, education level was a significant predictor of low health numeracy, with an AUC (95% CI) of 0.811 (0.720-0.902). This measure had a specificity of 95.3% at the cutoff of 12 years of education (<12 versus > or = 12 years of education) but was non-sensitive | ||
520 | |a CONCLUSION: Common single-item questions used to screen for written health literacy are ineffective screening tools for health numeracy. However, low education level is a specific predictor of low health numeracy | ||
650 | 4 | |a Journal Article | |
700 | 1 | |a Abbasi, Ammara |e verfasserin |4 aut | |
700 | 1 | |a Kleris, Renee S |e verfasserin |4 aut | |
700 | 1 | |a Ehrlich, Samantha S |e verfasserin |4 aut | |
700 | 1 | |a Barthwaite, Echo |e verfasserin |4 aut | |
700 | 1 | |a DeLong, Jennifer |e verfasserin |4 aut | |
700 | 1 | |a Master, Viraj A |e verfasserin |4 aut | |
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