Cargando…

The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform

BACKGROUND: The sociodemographic characteristics and clinical features of the Late-life depression (LLD) patients in psychiatric hospitals have not been thoroughly studied in China. This study aimed to explore the psychiatric outpatient attendance of LLD patients at a psychiatric hospital in China,...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xiao, Rao, Wenwang, Chen, Xueyan, Zhang, Xinqiao, Wang, Zeng, Ma, Xianglin, Zhang, Qinge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628045/
https://www.ncbi.nlm.nih.gov/pubmed/36324116
http://dx.doi.org/10.1186/s12888-022-04339-7
_version_ 1784823109006655488
author Wang, Xiao
Rao, Wenwang
Chen, Xueyan
Zhang, Xinqiao
Wang, Zeng
Ma, Xianglin
Zhang, Qinge
author_facet Wang, Xiao
Rao, Wenwang
Chen, Xueyan
Zhang, Xinqiao
Wang, Zeng
Ma, Xianglin
Zhang, Qinge
author_sort Wang, Xiao
collection PubMed
description BACKGROUND: The sociodemographic characteristics and clinical features of the Late-life depression (LLD) patients in psychiatric hospitals have not been thoroughly studied in China. This study aimed to explore the psychiatric outpatient attendance of LLD patients at a psychiatric hospital in China, with a subgroup analysis, such as with or without anxiety, gender differences. METHODS: This retrospective study examined outpatients with LLD from January 2013 to August 2019 using data in the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in Beijing Anding Hospital. Age, sex, number of visits, use of drugs and comorbid conditions were extracted from medical records. RESULTS: In a sample of 47,334 unipolar depression patients, 31,854 (67.30%) were women, and 15,480 (32.70%) were men. The main comorbidities of LDD are generalized anxiety disorder (GAD) (83.62%) and insomnia (74.52%).Among patients with unipolar depression, of which benzodiazepines accounted for the largest proportion (77.77%), Selective serotonin reuptake inhibitors (SSRIs) accounted for 59.00%, a noradrenergic and specific serotonergic antidepressant (NaSSAs) accounted for 36.20%. The average cost of each visit was approximately 646.27 yuan, and the cost of each visit was primarily attributed to Western medicine (22.97%) and Chinese herbal medicine (19.38%). For the cost of outpatient visits, depression comorbid anxiety group had a higher average cost than the non-anxiety group (p < 0.05). There are gender differences in outpatient costs, men spend more than women, for western medicine, men spend more than women, for Chinese herbal medicine, women spend more than men (all p < 0.05). The utilization rate of SSRIs and benzodiazepines in female patients is significantly higher than that in male patients (p < 0.05). CONCLUSION: LLD patients are more commonly women than men and more commonly used SSRIs and NaSSAs. Elderly patients with depression often have comorbid generalized anxiety. LLD patients spend most of their visits on medicines, and while the examination costs are lower.
format Online
Article
Text
id pubmed-9628045
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-96280452022-11-03 The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform Wang, Xiao Rao, Wenwang Chen, Xueyan Zhang, Xinqiao Wang, Zeng Ma, Xianglin Zhang, Qinge BMC Psychiatry Research BACKGROUND: The sociodemographic characteristics and clinical features of the Late-life depression (LLD) patients in psychiatric hospitals have not been thoroughly studied in China. This study aimed to explore the psychiatric outpatient attendance of LLD patients at a psychiatric hospital in China, with a subgroup analysis, such as with or without anxiety, gender differences. METHODS: This retrospective study examined outpatients with LLD from January 2013 to August 2019 using data in the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in Beijing Anding Hospital. Age, sex, number of visits, use of drugs and comorbid conditions were extracted from medical records. RESULTS: In a sample of 47,334 unipolar depression patients, 31,854 (67.30%) were women, and 15,480 (32.70%) were men. The main comorbidities of LDD are generalized anxiety disorder (GAD) (83.62%) and insomnia (74.52%).Among patients with unipolar depression, of which benzodiazepines accounted for the largest proportion (77.77%), Selective serotonin reuptake inhibitors (SSRIs) accounted for 59.00%, a noradrenergic and specific serotonergic antidepressant (NaSSAs) accounted for 36.20%. The average cost of each visit was approximately 646.27 yuan, and the cost of each visit was primarily attributed to Western medicine (22.97%) and Chinese herbal medicine (19.38%). For the cost of outpatient visits, depression comorbid anxiety group had a higher average cost than the non-anxiety group (p < 0.05). There are gender differences in outpatient costs, men spend more than women, for western medicine, men spend more than women, for Chinese herbal medicine, women spend more than men (all p < 0.05). The utilization rate of SSRIs and benzodiazepines in female patients is significantly higher than that in male patients (p < 0.05). CONCLUSION: LLD patients are more commonly women than men and more commonly used SSRIs and NaSSAs. Elderly patients with depression often have comorbid generalized anxiety. LLD patients spend most of their visits on medicines, and while the examination costs are lower. BioMed Central 2022-11-02 /pmc/articles/PMC9628045/ /pubmed/36324116 http://dx.doi.org/10.1186/s12888-022-04339-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Wang, Xiao
Rao, Wenwang
Chen, Xueyan
Zhang, Xinqiao
Wang, Zeng
Ma, Xianglin
Zhang, Qinge
The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform
title The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform
title_full The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform
title_fullStr The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform
title_full_unstemmed The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform
title_short The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform
title_sort sociodemographic characteristics and clinical features of the late-life depression patients: results from the beijing anding hospital mental health big data platform
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628045/
https://www.ncbi.nlm.nih.gov/pubmed/36324116
http://dx.doi.org/10.1186/s12888-022-04339-7
work_keys_str_mv AT wangxiao thesociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT raowenwang thesociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT chenxueyan thesociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT zhangxinqiao thesociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT wangzeng thesociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT maxianglin thesociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT zhangqinge thesociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT wangxiao sociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT raowenwang sociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT chenxueyan sociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT zhangxinqiao sociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT wangzeng sociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT maxianglin sociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform
AT zhangqinge sociodemographiccharacteristicsandclinicalfeaturesofthelatelifedepressionpatientsresultsfromthebeijingandinghospitalmentalhealthbigdataplatform