Evidence map›Paper›PMID 39025781›Full record

ArticleJournal of applied gerontology : the official journal of the Southern Gerontological Society2025

Medication Management Difficulty, Medication Nonadherence, and Risk of Hospitalization Among Cognitively Impaired Older Americans: A Nationally Representative Study.

Jinjiao Wang, Zijing Cheng, Yue Li

Abstract read
In one paragraph

Article in Journal of applied gerontology : the official journal of the Southern Gerontological Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Observational
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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

3 authors.

Jinjiao WangElaine Hubbard Center for Nursing Research on Aging, University of Rochester School of Nursing, Rochester, NY, USA.ORCID 0000-0002-5629-8497
Zijing ChengDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Yue LiDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.ORCID 0000-0001-7592-0299

Funding

Family care to nursing home residents and state essential caregiver programs during the COVID-19 pandemic: impact on dementia care, outcomes, and disparitiesRF1AG082992 · NIA · UNIVERSITY OF ROCHESTER · PI LI, YUE · 2023 to 2023
$1.1M
Impact of state HCBS generosity on dementia outcomes and disparitiesR01AG069733 · NIA · UNIVERSITY OF ROCHESTER · PI LI, YUE · 2020 to 2022
$1.1M
NIA NIH HHS R01 AG069733NIA NIH HHS RF1 AG082992
6 · The paper itself

Abstract

Effective disease management in older adults relies on medication adherence to prevent adverse outcomes like hospitalization, particularly among those with cognitive impairment. In this study, we examined the impact of cognitive impairment on medication management, adherence, and hospitalization risk across levels of cognitive function. Analyzing data from 28,558 community-dwelling older adults, we found that those with dementia had the most difficulty managing medications (13.12%), followed by cognitive impairment without dementia (5.80%), and intact cognition (1.96%). Only persons with dementia showed a significant association between medication management difficulty and hospitalization risk (Odds Ratio [OR] = 1.71; 95% Confidence Intervals: 1.08, 2.70;

Indexed as

Cognitive DysfunctionDementiaDrug MonitoringHospitalizationAgedAged, 80 and overFemaleHumansMaleMedication Therapy ManagementRisk FactorsUnited StatesAlzheimer’s disease and related dementiascognitive functionhealth and retirement surveymedication management

Identifiers

PMID39025781
PMCPMC11620964

What OpenQuestion holds

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Registered trials

None linked

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.