Evidence map›Paper›PMID 36443760›Full record

ArticleHealth research policy and systems2022

Unmet needs for hypertension diagnosis among older adults in Myanmar: secondary analysis of a multistage sampling study.

Ikuma Nozaki, Yugo Shobugawa, Yuri Sasaki, Daisuke Takagi, Yuiko Nagamine, Poe Ei Zin, Thae Zarchi Bo, Than Win Nyunt, Min Zaw Oo, Kay Thi Lwin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Health research policy and systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 2 countries.

Ikuma NozakiBureau of International Health Cooperation, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-Ku, Tokyo, Japan. i-nozaki@it.ncgm.go.jp.ORCID http://orcid.org/0000-0001-5168-6709
Yugo ShobugawaGraduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Yuri SasakiDepartment of International Health and Collaboration, National Institute of Public Health, Saitama, Japan.
Daisuke TakagiGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yuiko NagamineDepartment of Family Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Poe Ei ZinDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, Myanmar.
Thae Zarchi BoDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, Myanmar.
Than Win NyuntDepartment of Geriatric Medicine, Yangon General Hospital, Yangon, Myanmar.
Min Zaw OoDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, Myanmar.
Kay Thi LwinDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, Myanmar.
Hla Hla WinDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, Myanmar.
University Of Medicine 1 Yangon · MMEast Yangon General Hospital · MMNational Center for Global Health and Medicine · JPNational Institute of Public Health · JPNiigata University · JPThe University of Tokyo · JPTokyo Medical and Dental University · JPUniversity of Public Health Yangon · MM

Funding

Japan Agency for Medical Research and Development 17984739Japan Society for the Promotion of Science 19K19472Ministry of Health, Labour and Welfare 20BA2002WHO Kobe Centre K18015
6 · The paper itself

Abstract

backgroundHypertension is a major cause of morbidity among older adults. We investigated older adults' access to health services in Myanmar by focusing on unmet needs in diagnosing hypertension. This study aims to identify factors associated with the unmet needs for hypertension diagnosis in the study areas of Myanmar.

methodsThis is a secondary data analysis of the survey which is a cross-sectional study conducted with older adults (aged ≥ 60 years) in the Yangon and Bago regions of Myanmar. Objective indicators of health were collected, including blood pressure, height and weight. The diagnosis of hypertension was considered an unmet need when a participant's blood pressure measurement met the diagnostic criteria for hypertension but the disease had not yet been diagnosed. Bivariate and multivariate analyses using logistic regression were performed to identify factors associated with the unmet need for hypertension diagnosis. Factors related to lifestyle habits and medical-seeking behaviour were selected and put into the multivariate model.

resultsData from 1200 people, 600 from each of the two regions, were analysed. Altogether 483 (40.3%) participants were male, 530 (44.2%) were aged ≥ 70 years, and 857 were diagnosed with hypertension based on their measured blood pressure or diagnostic history, or both, which is a 71.4% prevalence of hypertension. Moreover, 240 (20.0%) participants had never been diagnosed with hypertension. In the multivariate analysis, these unmet needs for hypertension diagnosis were significantly associated with male sex (odds ratio [OR] 1.46, 95% confidence interval [CI] 1.05-2.05), residence in the Bago region (OR 1.64, 95% CI 1.09-2.45) and better self-rated health (OR 1.70, 95% CI 1.24-2.33), but not with education, category on the wealth index or living arrangement.

conclusionsThere are barriers to accessing health services for hypertension diagnosis, as evidenced by the regional disparities found in this study, and charitable clinics may decrease the financial barrier to this diagnosis.

Indexed as

HypertensionAgedCross-Sectional StudiesFemaleHumansLife StyleMaleMyanmarSampling StudiesHealthcare accessJapan Gerontological Evaluation Study (JAGES)Older adultsSelf-rated health status

Identifiers

PMID36443760
PMCPMC9706823
OpenAlexW4310191705

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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.