Evidence map›Paper›PMID 36981473›Full record

ArticleHealthcare (Basel, Switzerland)2023

Does the Disparity Patterning Differ between Diagnosed and Undiagnosed Hypertension among Adults? Evidence from Indonesia.

Puput Oktamianti, Dian Kusuma, Vilda Amir, Dwi Hapsari Tjandrarini, Astridya Paramita

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Article in Healthcare (Basel, Switzerland), 2023. 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
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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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

5 authors.

Puput OktamiantiHealth Administration and Policy Department, Faculty of Public Health, Universitas Indonesia, Depok 16424, Indonesia.
Dian KusumaDepartment of Health Services Research and Management, School of Health & Psychological Sciences, City University of London, London EC1V 0HB, UK.ORCID 0000-0002-1909-9341
Vilda AmirCenter for Health Administration and Policy Studies, Faculty of Public Health, Universitas Indonesia, Depok 16424, Indonesia.ORCID 0000-0002-0740-1478
Dwi Hapsari TjandrariniResearch Center for Public Health and Nutrition, National Research and Innovation Agency, Bogor 16915, Indonesia.ORCID 0000-0001-8313-4722
Astridya ParamitaResearch Center for Public Health and Nutrition, National Research and Innovation Agency, Bogor 16915, Indonesia.ORCID 0000-0002-0487-4747

Funding

University of Indonesia NKB-460/UN2.RST/HKP.05.00/2022
6 · The paper itself

Abstract

backgroundHealthcare systems in many low- and middle-income countries (LMICs) are not yet designed to tackle the high and increasing burden of non-communicable diseases (NCDs), including hypertension. As a result, a large proportion of people with disease or risk factors are undiagnosed. Policymakers need to understand the disparity better to act. However, previous analyses on the disparity in undiagnosed hypertension, especially from LMICs, are lacking. Our study assessed the geographic and socioeconomic disparity in undiagnosed hypertension and compared it with diagnosed hypertension.

methodsWe used the Basic Health Survey (Riskesdas) 2018 and performed geospatial and quantitative analyses across 514 districts in Indonesia. Dependent variables included diagnosed and undiagnosed hypertension among adults (18+ years) and by gender.

resultsA high prevalence of undiagnosed hypertension at 76.3% was found, with different patterns of disparity observed between diagnosed and undiagnosed hypertension. Diagnosed hypertension was 1.87 times higher in females compared with males, while undiagnosed hypertension rates were similar between genders. Urban areas had up to 22.6% higher rates of diagnosed hypertension, while undiagnosed hypertension was 11.4% more prevalent among females in rural areas. Districts with higher education rates had up to 25% higher diagnosed hypertension rates, while districts with lower education rates had 6% higher rates of undiagnosed hypertension among females. The most developed regions had up to 76% and 40% higher prevalence of both diagnosed and undiagnosed hypertension compared with the least developed regions.

conclusionThe disparity patterning differs between diagnosed and undiagnosed hypertension among adults in Indonesia. This highlights the need for effective measures, including healthcare system reforms to tackle NCDs in LMICs.

Indexed as

diagnosedgeographichigh blood pressureinequalitysocioeconomicundiagnosed

Identifiers

PMID36981473
PMCPMC10048049

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LicenceCC BY
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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.