Cargando…
Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital
PURPOSE: The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Academy of Periodontology
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928208/ https://www.ncbi.nlm.nih.gov/pubmed/27382508 http://dx.doi.org/10.5051/jpis.2016.46.3.207 |
_version_ | 1782440399124561920 |
---|---|
author | Jeong, Byungjoon Joo, Hyun-Tae Shin, Hyun-Seung Lim, Mi-Hwa Park, Jung-Chul |
author_facet | Jeong, Byungjoon Joo, Hyun-Tae Shin, Hyun-Seung Lim, Mi-Hwa Park, Jung-Chul |
author_sort | Jeong, Byungjoon |
collection | PubMed |
description | PURPOSE: The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases. METHODS: Basic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution. RESULTS: The visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient’s regional center to the hospital was 30.94±29.62 km and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was 52.41±12.97 years. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses. CONCLUSIONS: The distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further. |
format | Online Article Text |
id | pubmed-4928208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Korean Academy of Periodontology |
record_format | MEDLINE/PubMed |
spelling | pubmed-49282082016-07-05 Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital Jeong, Byungjoon Joo, Hyun-Tae Shin, Hyun-Seung Lim, Mi-Hwa Park, Jung-Chul J Periodontal Implant Sci Research Article PURPOSE: The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases. METHODS: Basic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution. RESULTS: The visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient’s regional center to the hospital was 30.94±29.62 km and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was 52.41±12.97 years. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses. CONCLUSIONS: The distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further. Korean Academy of Periodontology 2016-06 2016-06-28 /pmc/articles/PMC4928208/ /pubmed/27382508 http://dx.doi.org/10.5051/jpis.2016.46.3.207 Text en Copyright © 2016 Korean Academy of Periodontology http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/). |
spellingShingle | Research Article Jeong, Byungjoon Joo, Hyun-Tae Shin, Hyun-Seung Lim, Mi-Hwa Park, Jung-Chul Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital |
title | Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital |
title_full | Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital |
title_fullStr | Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital |
title_full_unstemmed | Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital |
title_short | Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital |
title_sort | geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928208/ https://www.ncbi.nlm.nih.gov/pubmed/27382508 http://dx.doi.org/10.5051/jpis.2016.46.3.207 |
work_keys_str_mv | AT jeongbyungjoon geographicinformationsystemanalysisonthedistributionofpatientsvisitingtheperiodontologydepartmentatadentalcollegehospital AT joohyuntae geographicinformationsystemanalysisonthedistributionofpatientsvisitingtheperiodontologydepartmentatadentalcollegehospital AT shinhyunseung geographicinformationsystemanalysisonthedistributionofpatientsvisitingtheperiodontologydepartmentatadentalcollegehospital AT limmihwa geographicinformationsystemanalysisonthedistributionofpatientsvisitingtheperiodontologydepartmentatadentalcollegehospital AT parkjungchul geographicinformationsystemanalysisonthedistributionofpatientsvisitingtheperiodontologydepartmentatadentalcollegehospital |