Big data analysis of patients with periodontitis and factors influencing treatment behavior

Objective To study patient-related information and factors altering their decision making in periodontal treatment and treatment behavior via big data analysis of the electronic medical records and to guide better dental care service and improve periodontal treatment. Methods A retrospective study w...

Full description

Bibliographic Details
Main Authors: HU Congjiao, MAO Feifei, WU Ying, FENG Yanhuizhi, ZHOU Min, LUO Lijun
Format: Article
Language:zho
Published: Editorial Department of Journal of Prevention and Treatment for Stomatological Diseases 2020-12-01
Series:口腔疾病防治
Subjects:
Online Access:http://www.kqjbfz.com/CN/10.12016/j.issn.2096-1456.2020.12.006
id doaj-5f237d69a11d4ebbb5d7576b467e5983
record_format Article
spelling doaj-5f237d69a11d4ebbb5d7576b467e59832020-11-30T02:31:50ZzhoEditorial Department of Journal of Prevention and Treatment for Stomatological Diseases口腔疾病防治2096-14562096-14562020-12-01281278579010.12016/j.issn.2096⁃1456.2020.12.006Big data analysis of patients with periodontitis and factors influencing treatment behaviorHU Congjiao0MAO Feifei1WU Ying2FENG Yanhuizhi3ZHOU Min4LUO Lijun5Department of Periodontology, the Affiliated Stomatology Hospital of Tongji UniversityDepartment of Periodontology, the Affiliated Stomatology Hospital of Tongji UniversityDepartment of Periodontology, the Affiliated Stomatology Hospital of Tongji UniversityDepartment of Periodontology, the Affiliated Stomatology Hospital of Tongji UniversityDepartment of Periodontology, the Affiliated Stomatology Hospital of Tongji UniversityDepartment of Periodontology, the Affiliated Stomatology Hospital of Tongji UniversityObjective To study patient-related information and factors altering their decision making in periodontal treatment and treatment behavior via big data analysis of the electronic medical records and to guide better dental care service and improve periodontal treatment. Methods A retrospective study was performed in patients with periodontitis who visited the Affiliated Stomatological Hospital of Tongji University from 2014 to 2016. Based on the periodontal sequence treatment procedure, the treatment types were divided into six groups and were analyzed using multivariable regression analysis. Chi-square test was performed according to gender and age. Results Age, payment method, disease severity, exhibited statistically significant differences regarding their effects on patients’ treatment behavior (P < 0.05). Men were more likely to have severe periodontitis than women (male 41.04%; female 31.85%), and use medical insurance more often as payment method (male 86.14%; female 83.74%) (P < 0.05). Compared with the population under 35 years old, moderate and severe periodontitis accounted for a larger proportion (84.58%) in the population over 35 years old. The compliance of the population over 35 years old was poor. Less follow-up reviews were conducted (17.10%) and medical insurance was less often used (49.65%) in this population. The differences were statistically significant (P < 0.05). Conclusion Moderate and severe periodontitis accounted for a larger proportion in the population over 35 years old. Patients over 35 years old tend to choose simpler treatments with lower compliance and frequency of revisits. This situation may be related to the lower proportion of medicare use in this population. The awareness and compliance of periodontal treatment protocols in people over 35 years old needs to be improved.http://www.kqjbfz.com/CN/10.12016/j.issn.2096-1456.2020.12.006periodontitisinitial therapyperiodontal surgeryelectronic medical recordbig datamedical insurancetreatment behaviorcompliance
collection DOAJ
language zho
format Article
sources DOAJ
author HU Congjiao
MAO Feifei
WU Ying
FENG Yanhuizhi
ZHOU Min
LUO Lijun
spellingShingle HU Congjiao
MAO Feifei
WU Ying
FENG Yanhuizhi
ZHOU Min
LUO Lijun
Big data analysis of patients with periodontitis and factors influencing treatment behavior
口腔疾病防治
periodontitis
initial therapy
periodontal surgery
electronic medical record
big data
medical insurance
treatment behavior
compliance
author_facet HU Congjiao
MAO Feifei
WU Ying
FENG Yanhuizhi
ZHOU Min
LUO Lijun
author_sort HU Congjiao
title Big data analysis of patients with periodontitis and factors influencing treatment behavior
title_short Big data analysis of patients with periodontitis and factors influencing treatment behavior
title_full Big data analysis of patients with periodontitis and factors influencing treatment behavior
title_fullStr Big data analysis of patients with periodontitis and factors influencing treatment behavior
title_full_unstemmed Big data analysis of patients with periodontitis and factors influencing treatment behavior
title_sort big data analysis of patients with periodontitis and factors influencing treatment behavior
publisher Editorial Department of Journal of Prevention and Treatment for Stomatological Diseases
series 口腔疾病防治
issn 2096-1456
2096-1456
publishDate 2020-12-01
description Objective To study patient-related information and factors altering their decision making in periodontal treatment and treatment behavior via big data analysis of the electronic medical records and to guide better dental care service and improve periodontal treatment. Methods A retrospective study was performed in patients with periodontitis who visited the Affiliated Stomatological Hospital of Tongji University from 2014 to 2016. Based on the periodontal sequence treatment procedure, the treatment types were divided into six groups and were analyzed using multivariable regression analysis. Chi-square test was performed according to gender and age. Results Age, payment method, disease severity, exhibited statistically significant differences regarding their effects on patients’ treatment behavior (P < 0.05). Men were more likely to have severe periodontitis than women (male 41.04%; female 31.85%), and use medical insurance more often as payment method (male 86.14%; female 83.74%) (P < 0.05). Compared with the population under 35 years old, moderate and severe periodontitis accounted for a larger proportion (84.58%) in the population over 35 years old. The compliance of the population over 35 years old was poor. Less follow-up reviews were conducted (17.10%) and medical insurance was less often used (49.65%) in this population. The differences were statistically significant (P < 0.05). Conclusion Moderate and severe periodontitis accounted for a larger proportion in the population over 35 years old. Patients over 35 years old tend to choose simpler treatments with lower compliance and frequency of revisits. This situation may be related to the lower proportion of medicare use in this population. The awareness and compliance of periodontal treatment protocols in people over 35 years old needs to be improved.
topic periodontitis
initial therapy
periodontal surgery
electronic medical record
big data
medical insurance
treatment behavior
compliance
url http://www.kqjbfz.com/CN/10.12016/j.issn.2096-1456.2020.12.006
work_keys_str_mv AT hucongjiao bigdataanalysisofpatientswithperiodontitisandfactorsinfluencingtreatmentbehavior
AT maofeifei bigdataanalysisofpatientswithperiodontitisandfactorsinfluencingtreatmentbehavior
AT wuying bigdataanalysisofpatientswithperiodontitisandfactorsinfluencingtreatmentbehavior
AT fengyanhuizhi bigdataanalysisofpatientswithperiodontitisandfactorsinfluencingtreatmentbehavior
AT zhoumin bigdataanalysisofpatientswithperiodontitisandfactorsinfluencingtreatmentbehavior
AT luolijun bigdataanalysisofpatientswithperiodontitisandfactorsinfluencingtreatmentbehavior
_version_ 1724411645024796672