2012
DOI: 10.1136/bmjopen-2012-001062
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Impact of one or two visits strategy on hypertension burden estimation in HYDY, a population-based cross-sectional study: implications for healthcare resource allocation decision making

Abstract: ContextThe prevalence of hypertension in developing countries is coming closer to values found in developed countries. However, surveys usually rely on readings taken at a single visit, the option to implement the diagnosis on readings taken at multiple visits, being limited by costs.ObjectiveTo estimate more accurately the magnitude and extent of the resource that should be allocated to the prevention of hypertension.DesignPopulation-based cross-sectional survey with triplicate blood pressure (BP) readings ta… Show more

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Cited by 30 publications
(48 citation statements)
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“…25 Hypertension rates were 35% lower at the second visit compared with the first. Furthermore, those who would have been treated for hypertension based on their first visit recordings, but not their second, were found to have a lower cardiovascular disease risk score.…”
Section: Discussionmentioning
confidence: 92%
“…25 Hypertension rates were 35% lower at the second visit compared with the first. Furthermore, those who would have been treated for hypertension based on their first visit recordings, but not their second, were found to have a lower cardiovascular disease risk score.…”
Section: Discussionmentioning
confidence: 92%
“…13 Furthermore, the possibility to focus antihypertensive treatment on high-risk subjects might thus have potential implications for health-care resource allocation in low-resource settings. 14 …”
Section: Introductionmentioning
confidence: 99%
“…The importance of conducting an epidemiological study throughout a whole year, or at least to declare the exact timing of the study in the final report, is indeed not always given due importance. A recent large epidemiological survey aimed at assessing hypertension burden at the population level, BP is the main factor guiding cardiovascular (CV) risk stratification, including the measurement of temperature as one of the parameters investigated 5. In the Hypertension and Diabetes in Yemen (HYDY) study, an increase of 1°C in air temperature reduced hypertension with an OR of 0.98 (95% confidence limits: 0.96–0.99) at logistic regression analyses adjusted for age, gender, education and average air temperature at the two survey visits 5…”
mentioning
confidence: 99%
“…As a consequence, at the patient level, only a low value in winter can thus be considered a low ‘yearly’ value, whereas a low value in summer does not mean a low value in winter. At the population level, seasonal differences may be important because CV risk estimation plays a key role in the efficient allocation of resources 5. This aspect is especially important for low-income countries, but any speculation is limited by the small number of studies carried out in the Southern Hemisphere, and by the absence of studies investigating populations from Asia, Africa and South America 6…”
mentioning
confidence: 99%