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• W2790290542 abstract "Three data sources are generally used in monitoring health on the population level. Health interview surveys (HISs) are based on participants’ self-report. Health examination surveys (HESs) yield more objective data, and also persons who are unaware of their elevated risks can be detected. Medical records (MRs) and other administrative registers also provide objective data, but their availability, coverage and quality vary between countries. We summarized studies comparing self-reported data with (i) measured data from HESs or (ii) MRs. We aimed to describe differences in feasibility and comparability of different data sources for monitoring (i) elevated blood pressure or hypertension (ii) elevated blood glucose or diabetes and (iii) elevated total cholesterol. We conducted a literature search to identify studies, which validated self-reported measures against objective measures. We found 30 studies published since the year 2000 fulfilling our inclusion criteria (targeted to adults and comparing prevalence among the same persons). Hypertension and elevated total cholesterol were prone to be under-estimated in HISs. The under-estimate was more pronounced, when the HIS data were compared with HES data, and lower when compared with MRs. For diabetes, the HISs and the objective methods resulted in fairly similar prevalence rates. The three data sources measure different manifestations of the risk factors and cannot be expected to yield similar prevalence rates. Using HIS data only may lead to under-estimation of elevated risk factor levels or disease prevalence. Whenever possible, information from the three data sources should be evaluated and combined." @default.
• W2790290542 created "2018-03-29" @default.
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• W2790290542 date "2018-02-16" @default.
• W2790290542 modified "2023-09-27" @default.
• W2790290542 title "Public health monitoring of hypertension, diabetes and elevated cholesterol: comparison of different data sources" @default.
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• W2790290542 doi "https://doi.org/10.1093/eurpub/cky020" @default.
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• W2790290542 hasPublicationYear "2018" @default.
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