Evidence map›Paper›PMID 39226166›Full record

ArticleAging and disease2024

Unmet Medication Needs and the Association with Mortality in Older Adults: Equality-Oriented Monitoring toward Universal Health Coverage.

Minmin Wang, Yikai Feng, Yanan Luo, Yinzi Jin, Minghui Ren, Zhi-Jie Zheng

Abstract read
In one paragraph

Article in Aging and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Minmin WangDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Yikai FengDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Yanan LuoDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Yinzi JinDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Minghui RenDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Zhi-Jie ZhengDepartment of Global Health, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With population aging becoming a global trend, the unmet medication needs of older individuals are steadily increasing, potentially leading to a decline in quality of life and increased mortality. To identify unmet medication needs and inequality, and the association with health outcomes. A total of 69,443 participants in 31 countries from five international cohorts of aging were included. We measured the unmet medication needs level across sociodemographic strata. We developed an equality-oriented health care service coverage index (ESCI) and explored its relation to all-cause mortality in older adults over 55 years of age. Unmet medication needs in older adults with chronic conditions reached 41.84%. The highest unmet needs were observed in older age groups and participants with multimorbidity. The ESCI was further constructed by covering both the unmet needs level and inequality. An inverse association was observed between the ESCI and all-cause mortality in older adults (β=-16.81, P=0.047) as well as mortality rate owing to noncommunicable diseases (β=-17.58, P=0.041). The ESCI was inversely associated with mortality in older adults. This index could serve as a process evaluation indicator in assessing the progress toward UHC and healthy aging.

Indexed as

Healthcare DisparitiesHealth Services Needs and DemandMortalityUniversal Health InsuranceAgedAged, 80 and overChronic DiseaseFemaleHumansMaleMiddle Aged

Identifiers

PMID39226166
PMCPMC12221402

What OpenQuestion holds

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Registered trials

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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.