Evidence map›Paper›PMID 36522694›Full record

ArticleBMC geriatrics2022

Association of potentially inappropriate medications and need for long-term care among older adults: a matched cohort study.

Suhyun Jang, Hee-Jin Kang, Yeji Kim, Sunmee Jang

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 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
0.8field-weighted citation impact, top 30% 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, 7 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 1 country.

Suhyun JangCollege of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, 191 Hambakmoe‑Ro, Yeonsu‑Gu, Incheon, 21936, Republic of Korea.
Hee-Jin KangCollege of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, 191 Hambakmoe‑Ro, Yeonsu‑Gu, Incheon, 21936, Republic of Korea.
Yeji KimDepartment of Statistics, Graduate School, Sungkyunkwan University, 25-2, Seonggyungwan-Ro, Jongno-Gu, Seoul, 03063, Republic of Korea.
Sunmee JangCollege of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, 191 Hambakmoe‑Ro, Yeonsu‑Gu, Incheon, 21936, Republic of Korea. smjang@gachon.ac.kr.
Gachon University · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith an increase in the aging population, the number of older adults who require long-term care (LTC) is growing, enhancing drug-related issues. The reduced capacity of LTC users to precisely utilize medical services poses additional challenges owing to restrictions in daily activities. We compared older adults who required LTC with those who did not require LTC to confirm differences in the use of potentially inappropriate medications (PIMs), frequently used PIMs, and associating factors in Korea.

methodsUsing the Korean National Health Insurance Service cohort data, adults aged ≥ 65 years as of 2017 who were LTC beneficiaries (at home and LTC facilities) were selected and matched 1:1 with a control group (LTC non-beneficiaries). PIM was defined based on the 2019 American Society of Geriatrics Beers criteria. PIM use and medical resource utilization according to LTC requirements were compared for one year after the index date. After correcting for other confounding variables, differences in the risk of PIM use on person-based according to LTC eligibility were assessed using multivariate logistic regression.

resultsAmong the 13,251 older adults requiring LTC in 2017, 9682 were matched with counterparts and included. Among those who received an outpatient prescription including PIM at least once yearly, 83.6 and 87.6% were LTC beneficiaries and LTC non-beneficiaries, respectively (p < 0.001). Using the number of outpatient prescriptions as the baseline, 37.2 and 33.2% were LTC beneficiaries and LTC non-beneficiaries, respectively (p < 0.001). In both groups, elevated PIM use depended on increased medical resource utilization, as shown by increased outpatient visits and medical care institutions visited. Adjusting other influencing factors, the need for LTC did not significantly associated with PIM use (odds ratio [OR] 0.93, 95% confidence interval [CI] 0.84-1.04); the number of drugs consumed (3-4: OR 1.42, 95% CI 1.25-1.61; 5-9: OR 2.24, 95% CI 1.98-2.53; 10 and more: OR 3.72, 95% CI 3.03-4.55; reference group: 2 and less), frequency of visits (7-15: OR 1.95, 95% CI 1.71-2.23; 16-26: OR 3.51, 95% CI 3.02-4.07; 27-42: OR 5.84, 95% CI 4.84-7.05; 43 and more: OR 10.30, 95% CI 8.15-13.01; reference group: 6 and less), and visits to multiple medical care institutions (3-4: OR 1.96, 95% CI 1.76-2.19; 5 and more: OR 3.21, 95% CI 2.76-3.73; reference group: 2 and less) emerged as primary influencing factors. PIMs mainly prescribed included first-generation antihistamines, benzodiazepines, and Z-drugs in both groups; quetiapine ranked second-highest among LTC beneficiaries.

conclusionsThe LTC demand did not significantly associated with PIM utilization. However, the number of drugs consumed, and the pattern of medical resource use were important factors, regardless of LTC requirements. This highlights the need to implement comprehensive drug management focusing on patients receiving polypharmacy and visiting multiple care institutions, regardless of LTC needs.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListAgedCohort StudiesCross-Sectional StudiesHumansLong-Term CarePolypharmacyRetrospective StudiesCohort studyLong-term careOlder adultsOutpatient visitPotentially inappropriate medications

Identifiers

PMID36522694
PMCPMC9756678
OpenAlexW4312019259

What OpenQuestion holds

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LicenceCC BY
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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.