Evidence map›Paper›PMID 30515029›Full record

ReviewJapanese clinical medicine2018

Research on Home Care Nursing in Japan Using Geographic Information Systems: A Literature Review.

Takashi Kuwayama, Kenji Hamabata, Toyomi Kamesaki, Soichi Koike, Kazuhiko Kotani

Abstract readReview
In one paragraph

Review in Japanese clinical medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Telecardiology in Rural Practice: Global Trends.International journal of environmental research and public health · 2022
    Review
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

5 authors.

Takashi KuwayamaCenter for Community Medicine, Jichi Medical University, Shimotsuke-City, Japan.
Kenji HamabataGerontological Nursing, School of Nursing, Jichi Medical University, Shimotsuke-City, Japan.
Toyomi KamesakiCenter for Community Medicine, Jichi Medical University, Shimotsuke-City, Japan.
Soichi KoikeCenter for Community Medicine, Jichi Medical University, Shimotsuke-City, Japan.
Kazuhiko KotaniCenter for Community Medicine, Jichi Medical University, Shimotsuke-City, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given Japan's super-ageing society and its need for developing community-based integrated care system, the role of home care nursing is becoming increasingly important. A central concern in home care nursing is regional/spatial placement of home nursing stations and accessibility for patients. Analysis based on geographic information systems (GIS) may be useful in home care nursing research. We conducted a literature review of home care nursing research based on GIS in Japan. A total of 4 articles were selected following a search of medical literature databases. The first report was published in 2014. Most subjects in the identified studies were older people. Most studies were implemented at a municipal level. Key themes in the identified studies were "placement of specialists and home nursing stations" and "placement of home nursing stations and target patients." Despite the paucity of research, as all identified studies examined the community areas with an aged population, it may point to the need to consider community-based integrated care systems, including home care nursing, in Japan. More GIS-based research on home care nursing is called for.

Indexed as

balance of supply and demandcommunity medicineGISHome care nursingregional analysisspatial analysis

Identifiers

PMID30515029
PMCPMC6262492

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.