Evidence map›Paper›PMID 33248454›Full record

ArticleEnvironmental health and preventive medicine2020

The use of geographical analysis in assessing the impact of patients' home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study.

Atsuko Nakayama, Masatoshi Nagayama, Hiroyuki Morita, Takuya Kawahara, Issei Komuro, Mitsuaki Isobe

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Atsuko NakayamaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. st7089-fki@umin.ac.jp.ORCID http://orcid.org/0000-0002-5625-8452
Masatoshi NagayamaSakakibara Heart Institute, Tokyo, Japan.
Hiroyuki MoritaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. hmrt-tky@umin.net.
Takuya KawaharaClinical Research Promotion Center, The University of Tokyo, Tokyo, Japan.
Issei KomuroDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Mitsuaki IsobeSakakibara Heart Institute, Tokyo, Japan.
Sakakibara Hospital · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGeographical analysis is becoming a powerful tool for evaluating the quality of medical services and acquiring fundamental data for medical decision-making. Using geographical analysis, we evaluated the impact of the distance from patients' homes to the hospital on their participation in outpatient cardiac rehabilitation (OCR).

methodsAll patients hospitalized for percutaneous coronary intervention, coronary artery bypass grafting, valvular surgery, congestive heart failure, and aortic diseases were advised to participate in an OCR program after discharge. Using the dataset of our cohort study of OCR from 2004 to 2015 (n = 9,019), we used geographical analysis to investigate the impact of the distance from patients' homes to hospital on their participation in our OCR program.

resultsPatients whose road distance from home to hospital was 0-10 km, 10-20 km, and 20-30 km participated more in OCR than those whose road distance was ≧ 30 km (OR 4.34, 95% CI 3.80-4.96; OR 2.98, 95% CI 2.61-3.40; and OR 1.90, 95% CI 1.61-2.23, respectively). Especially in patients with heart failure, the longer the distance, the lesser the participation rate (P < .001).

conclusionsUsing geographical analysis, we successfully evaluated the factors influencing patients' participation in OCR. This illustrates the importance of using geographical analysis in future epidemiological and clinical studies.

trial registrationUMIN000028435.

Indexed as

AgedAged, 80 and overCardiac RehabilitationFemaleGeographyHumansJapanMaleMiddle AgedOutpatientsPatient ParticipationProspective StudiesSpatial AnalysisCardiac rehabilitationGeocodingGeographical informationMapping

Identifiers

PMID33248454
PMCPMC7699017
OpenAlexW3109408874

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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.