Cargando…
The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance
BACKGROUND: The Chinese government implemented the health poverty alleviation project (HPAP) since 2016 in poverty counties (PCs). To evaluate the effect of the HPAP on hypertension health management and control in PCs is vital for the policy improvement. METHODS: China Chronic Disease and Risk Fact...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155340/ https://www.ncbi.nlm.nih.gov/pubmed/37131251 http://dx.doi.org/10.1186/s41043-023-00380-8 |
_version_ | 1785036306883018752 |
---|---|
author | Jiang, Bo Wang, Limin Zhang, Mei Zhao, Zhenping Zhang, Xiao Li, Chun Zhou, Maigeng |
author_facet | Jiang, Bo Wang, Limin Zhang, Mei Zhao, Zhenping Zhang, Xiao Li, Chun Zhou, Maigeng |
author_sort | Jiang, Bo |
collection | PubMed |
description | BACKGROUND: The Chinese government implemented the health poverty alleviation project (HPAP) since 2016 in poverty counties (PCs). To evaluate the effect of the HPAP on hypertension health management and control in PCs is vital for the policy improvement. METHODS: China Chronic Disease and Risk Factors Surveillance programme were conducted from August 2018 to June 2019. A total of 95,414 participants aged 35 and above from 59 PCs and 129 non-poverty counties (NPCs) were involved in this study. Hypertension prevalence, hypertension control, treatment and health management prevalence, and physical examination proportion were calculated and compared by PCs and NPCs. Logistic regression was employed to explore the association between hypertension control and management services. RESULTS: The hypertension prevalence in NPCs was significantly higher than that in PCs (NPCs 46.1% vs. PCs 41.2%, P < 0.001). The NPCs participants had a higher hypertension control prevalence (NPCs 32.7% vs. PCs 27.3%, P < 0.001) and treatment prevalence (NPCs 86.0% vs. PCs 80.0%, P < 0.001) than that in PCs. The proportion of physical examination in one year in NPCs was significantly higher than that in PCs (NPCs 37.0% vs. PCs 29.5%, P < 0.001). The proportion of diagnosed hypertension patients without hypertension health management in NPCs was significantly higher than that in PCs (NPCs 35.7% vs. PCs 38.4%, P < 0.001). Multivariable logistic regression showed that standardized and non-standardized hypertension health management were positively correlated with hypertension control in NPCs, and standardized hypertension health management was positively correlated with hypertension control in PCs. CONCLUSIONS: These findings show the equity and accessibility gap of health resources still existed between PCs and NPCs under the influence of the HPAP. Hypertensive health management was effective for hypertension control in both PCs and NPCs. However, the quality of management services still needs to be improved. |
format | Online Article Text |
id | pubmed-10155340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101553402023-05-04 The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance Jiang, Bo Wang, Limin Zhang, Mei Zhao, Zhenping Zhang, Xiao Li, Chun Zhou, Maigeng J Health Popul Nutr Research BACKGROUND: The Chinese government implemented the health poverty alleviation project (HPAP) since 2016 in poverty counties (PCs). To evaluate the effect of the HPAP on hypertension health management and control in PCs is vital for the policy improvement. METHODS: China Chronic Disease and Risk Factors Surveillance programme were conducted from August 2018 to June 2019. A total of 95,414 participants aged 35 and above from 59 PCs and 129 non-poverty counties (NPCs) were involved in this study. Hypertension prevalence, hypertension control, treatment and health management prevalence, and physical examination proportion were calculated and compared by PCs and NPCs. Logistic regression was employed to explore the association between hypertension control and management services. RESULTS: The hypertension prevalence in NPCs was significantly higher than that in PCs (NPCs 46.1% vs. PCs 41.2%, P < 0.001). The NPCs participants had a higher hypertension control prevalence (NPCs 32.7% vs. PCs 27.3%, P < 0.001) and treatment prevalence (NPCs 86.0% vs. PCs 80.0%, P < 0.001) than that in PCs. The proportion of physical examination in one year in NPCs was significantly higher than that in PCs (NPCs 37.0% vs. PCs 29.5%, P < 0.001). The proportion of diagnosed hypertension patients without hypertension health management in NPCs was significantly higher than that in PCs (NPCs 35.7% vs. PCs 38.4%, P < 0.001). Multivariable logistic regression showed that standardized and non-standardized hypertension health management were positively correlated with hypertension control in NPCs, and standardized hypertension health management was positively correlated with hypertension control in PCs. CONCLUSIONS: These findings show the equity and accessibility gap of health resources still existed between PCs and NPCs under the influence of the HPAP. Hypertensive health management was effective for hypertension control in both PCs and NPCs. However, the quality of management services still needs to be improved. BioMed Central 2023-05-02 /pmc/articles/PMC10155340/ /pubmed/37131251 http://dx.doi.org/10.1186/s41043-023-00380-8 Text en © The Author(s) 2023 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 Jiang, Bo Wang, Limin Zhang, Mei Zhao, Zhenping Zhang, Xiao Li, Chun Zhou, Maigeng The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance |
title | The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance |
title_full | The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance |
title_fullStr | The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance |
title_full_unstemmed | The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance |
title_short | The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance |
title_sort | effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from china chronic diseases risk factors surveillance |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155340/ https://www.ncbi.nlm.nih.gov/pubmed/37131251 http://dx.doi.org/10.1186/s41043-023-00380-8 |
work_keys_str_mv | AT jiangbo theeffectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT wanglimin theeffectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT zhangmei theeffectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT zhaozhenping theeffectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT zhangxiao theeffectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT lichun theeffectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT zhoumaigeng theeffectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT jiangbo effectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT wanglimin effectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT zhangmei effectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT zhaozhenping effectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT zhangxiao effectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT lichun effectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance AT zhoumaigeng effectgapofhypertensionhealthmanagementservicesinpovertyandnonpovertycountiesonthehypertensioncontrolevidencefromchinachronicdiseasesriskfactorssurveillance |