2022
DOI: 10.3390/ijerph192013210
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From Project-Based Health Literacy Data and Measurement to an Integrated System of Analytics and Insights: Enhancing Data-Driven Value Creation in Health-Literate Organizations

Abstract: Health literacy measurement is important to improve equity, health and well-being as part of health system transformation. However, health literacy data of good quality are often lacking or difficult to access for decision-makers. To better inform policy, research and practice, this paper discusses how to move from project-based health literacy data and measurement to an integrated system of analytics and insights enhancing data-driven value creation in health-literate organizations. There is a need for the de… Show more

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Cited by 5 publications
(3 citation statements)
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“…Detecting abnormal data for students' learning behaviors and performances using the LOF-GMM method [12] . The LOF algorithm identifies outliers based on the density value of the data and is a typical unsupervised detection algorithm.…”
Section: 2data Analysismentioning
confidence: 99%
“…Detecting abnormal data for students' learning behaviors and performances using the LOF-GMM method [12] . The LOF algorithm identifies outliers based on the density value of the data and is a typical unsupervised detection algorithm.…”
Section: 2data Analysismentioning
confidence: 99%
“…The study of the medical literacy level of different groups among adult population was carried out in 8 European countries (Austria, Bulgaria, Greece, Ireland, Spain, the Netherlands, Germany, Poland) in 2011 [8]. Totally, sampling amounted to 8000 people with 1000 people per each country.…”
Section: Introductionmentioning
confidence: 99%
“…Although the interest in dashboards has grown with the proliferation of big data, the literature surrounding dashboards as a means to improve health literacy is limited. However, researchers have reported promising findings using dashboards and data visualization as a means to improve health literacy among more general populations (Ola & Sedig, 2017; Sørensen, 2022).…”
mentioning
confidence: 99%