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Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China
BACKGROUND: A goal of China’s 2012 National Mental Health Law is to improve access to services and decrease urban versus rural disparities in services. However, pre-reform data is needed for objective evaluation of these reforms’ effectiveness. Accordingly, this study compares the pre-reform utiliza...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851815/ https://www.ncbi.nlm.nih.gov/pubmed/35177017 http://dx.doi.org/10.1186/s12888-021-03651-y |
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author | Yang, Lawrence H. Phillips, Michael R. Li, Xianyun Yu, Gary Grivel, Margaux M. Zhang, Jingxuan Shi, Qichang Ding, Zhijie Pang, Shutao Susser, Ezra |
author_facet | Yang, Lawrence H. Phillips, Michael R. Li, Xianyun Yu, Gary Grivel, Margaux M. Zhang, Jingxuan Shi, Qichang Ding, Zhijie Pang, Shutao Susser, Ezra |
author_sort | Yang, Lawrence H. |
collection | PubMed |
description | BACKGROUND: A goal of China’s 2012 National Mental Health Law is to improve access to services and decrease urban versus rural disparities in services. However, pre-reform data is needed for objective evaluation of these reforms’ effectiveness. Accordingly, this study compares the pre-reform utilization of medical services for the treatment of schizophrenia in rural and urban communities in China. METHODS: In a large community-based study in four provinces representing 12% of China’s population conducted from 2001 to 2005, we identified 326 individuals with schizophrenia (78 never treated). Comparing those living in urban (n = 86) versus rural (n = 240) contexts, we used adjusted Poisson regression models to assess the relationship of ‘never treated’ status with family-level factors (marital status, family income, and number of co-resident family members) and illness severity factors (age of onset, symptom severity and functional impairment). RESULTS: Despite similar impairments due to symptoms, rural patients were less likely to have received intensive mental health services (i.e., use psychiatric inpatient services), and appeared more likely to be ‘never treated’ or to only have received outpatient care. Among rural patients, only having more than four co-resident family members was independently associated with ‘never-treated’ status (RR = 0.34; 95% CI, 0.12–0.94; p = 0.039). Among urban patients, only older age of onset was independently associated with ‘never-treated’ status (RR = 1.06; 95% CI 1.02–1.10, p = 0.003). CONCLUSIONS: Identifying differential drivers of service utilization in urban and rural communities is needed before implementing policies to improve the utilization and equity of services and to define metrics of program success. |
format | Online Article Text |
id | pubmed-8851815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88518152022-02-22 Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China Yang, Lawrence H. Phillips, Michael R. Li, Xianyun Yu, Gary Grivel, Margaux M. Zhang, Jingxuan Shi, Qichang Ding, Zhijie Pang, Shutao Susser, Ezra BMC Psychiatry Research BACKGROUND: A goal of China’s 2012 National Mental Health Law is to improve access to services and decrease urban versus rural disparities in services. However, pre-reform data is needed for objective evaluation of these reforms’ effectiveness. Accordingly, this study compares the pre-reform utilization of medical services for the treatment of schizophrenia in rural and urban communities in China. METHODS: In a large community-based study in four provinces representing 12% of China’s population conducted from 2001 to 2005, we identified 326 individuals with schizophrenia (78 never treated). Comparing those living in urban (n = 86) versus rural (n = 240) contexts, we used adjusted Poisson regression models to assess the relationship of ‘never treated’ status with family-level factors (marital status, family income, and number of co-resident family members) and illness severity factors (age of onset, symptom severity and functional impairment). RESULTS: Despite similar impairments due to symptoms, rural patients were less likely to have received intensive mental health services (i.e., use psychiatric inpatient services), and appeared more likely to be ‘never treated’ or to only have received outpatient care. Among rural patients, only having more than four co-resident family members was independently associated with ‘never-treated’ status (RR = 0.34; 95% CI, 0.12–0.94; p = 0.039). Among urban patients, only older age of onset was independently associated with ‘never-treated’ status (RR = 1.06; 95% CI 1.02–1.10, p = 0.003). CONCLUSIONS: Identifying differential drivers of service utilization in urban and rural communities is needed before implementing policies to improve the utilization and equity of services and to define metrics of program success. BioMed Central 2022-02-17 /pmc/articles/PMC8851815/ /pubmed/35177017 http://dx.doi.org/10.1186/s12888-021-03651-y 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 Yang, Lawrence H. Phillips, Michael R. Li, Xianyun Yu, Gary Grivel, Margaux M. Zhang, Jingxuan Shi, Qichang Ding, Zhijie Pang, Shutao Susser, Ezra Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China |
title | Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China |
title_full | Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China |
title_fullStr | Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China |
title_full_unstemmed | Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China |
title_short | Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China |
title_sort | determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851815/ https://www.ncbi.nlm.nih.gov/pubmed/35177017 http://dx.doi.org/10.1186/s12888-021-03651-y |
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