Cargando…

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

PURPOSE: Geographical 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 ou...

Descripción completa

Detalles Bibliográficos
Autores principales: Nakayama, Atsuko, Nagayama, Masatoshi, Morita, Hiroyuki, Kawahara, Takuya, Komuro, Issei, Isobe, Mitsuaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699017/
https://www.ncbi.nlm.nih.gov/pubmed/33248454
http://dx.doi.org/10.1186/s12199-020-00917-x
_version_ 1783615952208789504
author Nakayama, Atsuko
Nagayama, Masatoshi
Morita, Hiroyuki
Kawahara, Takuya
Komuro, Issei
Isobe, Mitsuaki
author_facet Nakayama, Atsuko
Nagayama, Masatoshi
Morita, Hiroyuki
Kawahara, Takuya
Komuro, Issei
Isobe, Mitsuaki
author_sort Nakayama, Atsuko
collection PubMed
description PURPOSE: Geographical 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). METHODS: All 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. RESULTS: Patients 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). CONCLUSIONS: Using 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 REGISTRATION: UMIN000028435. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12199-020-00917-x.
format Online
Article
Text
id pubmed-7699017
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-76990172020-11-30 The use of geographical analysis in assessing the impact of patients’ home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study Nakayama, Atsuko Nagayama, Masatoshi Morita, Hiroyuki Kawahara, Takuya Komuro, Issei Isobe, Mitsuaki Environ Health Prev Med Research Article PURPOSE: Geographical 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). METHODS: All 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. RESULTS: Patients 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). CONCLUSIONS: Using 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 REGISTRATION: UMIN000028435. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12199-020-00917-x. BioMed Central 2020-11-28 2020 /pmc/articles/PMC7699017/ /pubmed/33248454 http://dx.doi.org/10.1186/s12199-020-00917-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Nakayama, Atsuko
Nagayama, Masatoshi
Morita, Hiroyuki
Kawahara, Takuya
Komuro, Issei
Isobe, Mitsuaki
The use of geographical analysis in assessing the impact of patients’ home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study
title The use of geographical analysis in assessing the impact of patients’ home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study
title_full The use of geographical analysis in assessing the impact of patients’ home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study
title_fullStr The use of geographical analysis in assessing the impact of patients’ home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study
title_full_unstemmed The use of geographical analysis in assessing the impact of patients’ home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study
title_short The use of geographical analysis in assessing the impact of patients’ home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study
title_sort use of geographical analysis in assessing the impact of patients’ home addresses on their participation in outpatient cardiac rehabilitation: a prospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699017/
https://www.ncbi.nlm.nih.gov/pubmed/33248454
http://dx.doi.org/10.1186/s12199-020-00917-x
work_keys_str_mv AT nakayamaatsuko theuseofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT nagayamamasatoshi theuseofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT moritahiroyuki theuseofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT kawaharatakuya theuseofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT komuroissei theuseofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT isobemitsuaki theuseofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT nakayamaatsuko useofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT nagayamamasatoshi useofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT moritahiroyuki useofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT kawaharatakuya useofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT komuroissei useofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy
AT isobemitsuaki useofgeographicalanalysisinassessingtheimpactofpatientshomeaddressesontheirparticipationinoutpatientcardiacrehabilitationaprospectivecohortstudy