Evidence map›Paper›PMID 31041249›Full record

ArticleJournal of family medicine and primary care2019

Strategic implications of changing rule of halves in hypertension: A cross-sectional observational study.

Rujuta Hadaye, Vishal Kale, Rukman M Manapurath

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Article in Journal of family medicine and primary care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Rujuta HadayeDepartment of Community Medicine, Seth G.S. Medical College and K.E.M Hospital, Parel, Mumbai, Maharashtra, India.
Vishal KaleDepartment of Community Medicine, Seth G.S. Medical College and K.E.M Hospital, Parel, Mumbai, Maharashtra, India.
Rukman M ManapurathDepartment of Community Medicine, Seth G.S. Medical College and K.E.M Hospital, Parel, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe burden of non-communicable diseases will sooner overwhelm the health system of the country and could curtail future economic development. Hypertension causes highest cardiovascular morbidities. To attain target Blood Pressure (BP), different strategies are required, which are area specific. The validity of rule of halves of hypertension in various settings needs to be studied for developing strategies for that particular geographical area. To utilize the resources in more efficient way, strategies need to differ in rural-urban and underserved- well-served areas.

aimsThe present study aims at exploring whether the rule of halves holds good in the city of Mumbai as the findings of such research may have implications on strategies to control hypertension in communities. Hence, the objectives of this study are to ascertain the proportion of persons with hypertension with respect to the status of diagnosis, treatment, adequate treatment, and validate it with existing rule of halves. SETTING AND

designStudy was conducted in the urban field practice area of a teaching hospital and medical college of Mumbai that comprises 42 chawl (housing structures); study design- cross-sectional observational study. MATERIALS AND

methodsThis observational cross-sectional study was conducted over a period of 18 months in the field practice area of a teaching hospital and medical college of Mumbai with a total population of 43,069. Sample size was 667. After ethical clearance, participants were interviewed using pretested semi-structured interview schedule that included socio-demographic factors, risk factor evaluation, clinical examination, and anthropometry. Subjects with diagnosed hypertension were questioned thoroughly about hypertension adherence. STATISTICAL ANALYSIS: Descriptive statistics was applied on quantitative data.

resultsA total of 667 people from five chawls of age more than 35 years were included into the study. The mean age of study subjects was 50.84 ± 11.47 years. Out of total 667 respondents, 20.3% respondents were normotensive, 50.3% respondents were pre-hypertensive, 25.3% respondents were in stage 1 hypertension, and 4% respondents were in stage 2 hypertension. In contrary to the classical rule of halves, the present study shows only 31% of the diagnosed hypertensives are adequately treated.

conclusionsThe strategies in the national programs are from the traditional understanding of rule of halves and emphasize increasing awareness and treatment. Family physician should actively involve in regular screening, treatment, and adherence of hypertension treatment. As a part of primary care, community participation is required for effectively achieving the target BP goal of the population.

Indexed as

Hypertensionpolicy makingprevalencerule of halves

Identifiers

PMID31041249
PMCPMC6482724

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LicenceCC BY-NC-SA
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.