Evidence map›Paper›PMID 41929961›Full record

ArticleJournal of Alzheimer's disease reports

Association between the coronavirus disease pandemic and antipsychotic drug prescriptions among patients with dementia.

Kyungduk Hurh, Hyunkyu Kim, Eun-Cheol Park

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports. 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.

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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

3 authors.

Kyungduk HurhDepartment of Preventive Medicine, Gachon University College of Medicine, Seongnam-si, Republic of Korea.ORCID https://orcid.org/0000-0002-8295-7767
Hyunkyu KimInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antipsychotics are frequently prescribed off-label to manage behavioral and psychological symptoms of dementia but pose safety risks in older adults, including a 1.5-2.0-fold increased risk of mortality. The coronavirus disease (COVID-19) pandemic disrupted dementia care, increasing reliance on pharmacologic treatments. Objective: This study aimed to evaluate whether the COVID-19 pandemic was associated with changes in the prevalence of antipsychotic prescribing among patients with dementia. Methods: Using the Korean National Health Insurance Database, this study analyzed a random 50% sample of eligible individuals aged ≥60 years diagnosed with dementia between 2016 and 2021 (n = 876,158; 9.8 million person-observations). Outcomes included the likelihood, duration, and number of antipsychotic prescriptions issued, characterizing pharmacologic management of dementia. Interrupted time series analysis assessed associations between the pandemic and relative changes in these outcomes, adjusting for demographic factors, comorbid burden, and seasonality. Results: After the pandemic onset, there were relative slope increases per quarter of 1.5%, 3.2%, and 0.4% in the likelihood, duration, and number of prescriptions, respectively (all p < 0.001; pre-pandemic levels: 0.172 patients prescribed, 12.97 days, and 18.10 prescriptions per person-quarter). Antipsychotic prescriptions decreased by 1.6% (p < 0.001) during the first quarter after the outbreak but subsequently showed a progressive increase, reflecting prolonged care disruption after initial access barriers. Conclusions: The COVID-19 pandemic was associated with increased antipsychotic prescribing among patients with dementia. To mitigate similar effects in future public health crises, governments and healthcare providers should strengthen mental health support, non-pharmacological interventions, telehealth continuity, and tailored prescribing guidelines.

Indexed as

Alzheimer's diseaseantipsychoticsbehavioral and psychological symptoms of dementiacoronavirus diseasedementiainterrupted time series analysis

Identifiers

PMID41929961
PMCPMC13039037

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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.