Evidence map›Paper›PMID 41195026›Full record

ArticleJournal of general and family medicine2025

Lingering Effects on the Ecology of Medical Care After the COVID-19 Pandemic: A Nationwide Repeated Cross-Sectional Study in Japan.

Takuya Aoki, Masato Matsushima

Abstract read
In one paragraph

Article in Journal of general and family medicine, 2025. 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

2 authors.

Takuya AokiDivision of Clinical Epidemiology, Research Center for Medical Sciences The Jikei University School of Medicine Tokyo Japan.ORCID https://orcid.org/0000-0002-8232-2155
Masato MatsushimaDivision of Clinical Epidemiology, Research Center for Medical Sciences The Jikei University School of Medicine Tokyo Japan.ORCID https://orcid.org/0000-0002-1031-9096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have examined short-term changes in health care utilization during the COVID-19 pandemic, but research on long-term post-pandemic effects remains limited. We aimed to evaluate health care utilization after the pandemic based on the ecology of medical care model and to compare it with the results before and during the pandemic in Japan. Methods: We conducted a nationwide repeated cross-sectional survey of a representative sample of the general Japanese adult population in 2021 and 2024. The main outcomes were health care utilization for new health problems. We estimated the number of each health care utilization per 1000 population per month and compared it with the previous study conducted before the pandemic. Results: Data from a total of 2992 participants were analyzed. Visits to physicians' offices that primarily provide primary care declined during the pandemic and increased after the pandemic, but have not fully recovered to pre-pandemic levels. The recovery in physician's office visits between during and after the pandemic tended to be smaller among younger adults, females, those with lower education levels, those with higher incomes, and those without chronic conditions. On the other hand, emergency room visits, which declined during the pandemic, increased to higher levels than before the pandemic. Conclusions: Primary care utilization has not recovered to pre-pandemic levels, while emergency room visits have increased to higher levels than before the pandemic. Understanding long-term changes in health care utilization behaviors after the pandemic can help policymakers strengthen primary care systems.

Indexed as

COVID‐19delivery of health carehealth behaviorJapanprimary health care

Identifiers

PMID41195026
PMCPMC12585807

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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.