Combining self-reported and objectively measured survey data to improve hypertension prevalence estimates: Portuguese experience.

ABSTRACT:

Background

Accurate data on hypertension is essential to inform decision-making. Hypertension prevalence may be underestimated by population-based surveys due to misclassification of health status by participants. Therefore, adjustment for misclassification bias is required when relying on self-reports. This study aims to quantify misclassification bias in self-reported hypertension prevalence and prevalence ratios in the Portuguese component of the European Health Interview Survey (INS2014), and illustrate application of multiple imputation (MIME) for bias correction using measured high blood pressure data from the first Portuguese health examination survey (INSEF).

Methods

We assumed that objectively measured hypertension status was missing for INS2014 participants (n = 13

SUBMITTER: Kislaya I 

PROVIDER: S-EPMC8028082 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature