Evidence map›Paper›PMID 40899229›Full record

ArticleAnnals of geriatric medicine and research2025

Potentially Inappropriate Medication in Homebound Older Adults Receiving Home Medical Care.

Yukari Hattori, Taro Kojima, Hironobu Hamaya, Takashi Yamanaka, Sumito Ogawa, Masahiro Akishita

Abstract read
In one paragraph

Article in Annals of geriatric medicine and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

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4 · The record

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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.

Yukari HattoriDepartment of Geriatric Medicine, The University of Tokyo, Tokyo, Japan.
Taro KojimaDepartment of Geriatric Medicine, International University of Health and Welfare, Narita, Japan.
Hironobu HamayaDepartment of Geriatric Medicine, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
Takashi YamanakaDepartment of Geriatric Medicine, The University of Tokyo, Tokyo, Japan.
Sumito OgawaDepartment of Geriatric Medicine, The University of Tokyo, Tokyo, Japan.
Masahiro AkishitaDepartment of Geriatric Medicine, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.

Funding

Japan Agency for Medical Research and Development 20ek0210107h003JSPS KAKENHI 23K14708Ministry of Health, Labour and Welfare H30-Ninchisho-Ippan-001
6 · The paper itself

Abstract

backgroundThis study aimed to reveal demographic data for care-dependent older adults receiving home medical care and to evaluate whether potentially inappropriate medication (PIM) prescriptions were associated with hospitalization and death.

methodsData of healthcare and long-term care (LTC) insurance claims of older adults aged ≥65 years receiving home medical care in Kure city, Japan, in April 2017 were obtained. They included age, sex, recorded diagnosis on medical claims, level of LTC needs, and medication profile. Hospital admissions and deaths were identified between April 2017 and April 2019. Factors associated with hospitalization/death and PIM (≥1 PIM) defined by the Screening Tool of Older Persons' potentially inappropriate Prescriptions for Japanese were analyzed statistically.

resultsA total of 2,052 participants (mean age 86.5±7.4 years, female 71.7%) were included. The mean number of prescribed medications was 6.6±4.3. PIM increased as LTC level became severe (8.7% for support level 1&2; 22.6% for care level 1&2; 26.0% for care level 3-5). Among PIM, H2 receptor antagonists were the most common medication (29.0%), followed by antiplatelet agents (22.6%), magnesium oxide (19.4%), non-benzodiazepine sedatives (17.7%), and benzodiazepines (16.8%). On logistic regression analysis, the number of medications, PIM, and care level 1&2 were associated with a higher likelihood of hospital admission. There was no significant correlation between each PIM and hospital admissions. Regarding death, while age was associated with a higher likelihood, female sex and severe level of disability were associated with a lower likelihood.

conclusionPIM was prevalent among homebound older adults, suggesting that careful medication review should be conducted, especially in those with disability.

Indexed as

Homebound PersonsHome Care ServicesHospitalizationInappropriate PrescribingPotentially Inappropriate Medication ListAgedAged, 80 and overFemaleHumansJapanLong-Term CareMaleHome care servicesPolypharmacyPotentially inappropriate medication

Identifiers

PMID40899229
PMCPMC12766311

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.