Evidence map›Paper›PMID 34682516›Full record

Observational studyInternational journal of environmental research and public health2021

Changes in the Comprehensiveness of Rural Medical Care for Older Japanese Patients during the COVID-19 Pandemic.

Ryuichi Ohta, Akinori Ueno, Chiaki Sano

Abstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  11. Considerations for Creating a User-Friendly Telemedicine Service in Japan.Inquiry : a journal of medical care organization, provision and financing
    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.

Ryuichi OhtaCommunity Care, Unnan City Hospital, Daito-cho Iida, Unnan 699-1221, Japan.ORCID 0000-0003-2593-091X
Akinori UenoUnnan Public Health Center, Unnan 699-1311, Japan.
Chiaki SanoDepartment of Community Medicine Management, Faculty of Medicine, Shimane University, Enya-cho, Izumo 693-8501, Japan.ORCID 0000-0002-9796-5161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Help-seeking behaviors (HSBs) refer to how people use lay and medical care to address their symptoms and diseases. The COVID-19 pandemic may have changed older, rural patients' preferences and experiences regarding HSBs, thereby, affecting the comprehensiveness of medical support for communities. This study identified changes in the comprehensiveness of medical care for older, rural patients, who are often dependent on others for accessing medical services. This observational study was performed with patients who lived in Unnan City. Patients' dependency and changes in comprehensiveness of medical services were assessed and calculated. The total usage of medical care decreased from 2018 to 2020 at all medical care levels. The proportion of patients who received comprehensive care was higher in 2020 than in 2018, at all care levels. At care dependent levels 3 to 5, the differences in the proportions were statistically significant. This study illustrates an association between the COVID-19 pandemic and the proportion of comprehensiveness of medical care among older rural patients with a decrease in medical care usage. Moreover, an improved proportion of comprehensiveness of medical care leads to appropriate HSBs. Going forward, HSBs and patient-centered care should be promoted by policy makers.

Indexed as

COVID-19PandemicsHumansJapanRural PopulationSARS-CoV-2comprehensivenessdependencymultimorbidityrural medicine

Identifiers

PMID34682516
PMCPMC8535374

What OpenQuestion holds

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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.