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How effective is the health promotion policy in Sichuan, China: based on the PMC-Index model and field evaluation
BACKGROUND: Many countries around the world highlight the health in all policies (HiAP). However, most of the related research focused on the influential factors and implementation strategies, with less concern on the evaluation of HiAP. In response to HiAP's call, the Chinese government has pr...
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/PMC9764584/ https://www.ncbi.nlm.nih.gov/pubmed/36539758 http://dx.doi.org/10.1186/s12889-022-14860-9 |
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author | Yang, Yanlin Tang, Jing Li, Zhixin Wen, Jin |
author_facet | Yang, Yanlin Tang, Jing Li, Zhixin Wen, Jin |
author_sort | Yang, Yanlin |
collection | PubMed |
description | BACKGROUND: Many countries around the world highlight the health in all policies (HiAP). However, most of the related research focused on the influential factors and implementation strategies, with less concern on the evaluation of HiAP. In response to HiAP's call, the Chinese government has proposed health promotion policies (HPPs) in counties or districts, the evaluation of HPPs in sample counties or districts of Sichuan province in China is an essential basis for optimizing policy content, improving policy implementation, and ensuring health promotion's continuous and efficient operation. METHODS: This paper established an evaluation system for HPPs based on the PMC-Index model and then quantitatively analyzed 37 representative HPPs from the pilot areas in Sichuan province. In addition, a team of experts conducted a field assessment. RESULTS: The results showed that the average PMC index of 37 HPPs was 7.091, and correlation analysis showed that there was a significant correlation between the PMC index and expert score. CONCLUSIONS: This study indicates that the overall consistency of HPPs was good and proves a connection between the formulation and implementation of HPPs. |
format | Online Article Text |
id | pubmed-9764584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97645842022-12-21 How effective is the health promotion policy in Sichuan, China: based on the PMC-Index model and field evaluation Yang, Yanlin Tang, Jing Li, Zhixin Wen, Jin BMC Public Health Research BACKGROUND: Many countries around the world highlight the health in all policies (HiAP). However, most of the related research focused on the influential factors and implementation strategies, with less concern on the evaluation of HiAP. In response to HiAP's call, the Chinese government has proposed health promotion policies (HPPs) in counties or districts, the evaluation of HPPs in sample counties or districts of Sichuan province in China is an essential basis for optimizing policy content, improving policy implementation, and ensuring health promotion's continuous and efficient operation. METHODS: This paper established an evaluation system for HPPs based on the PMC-Index model and then quantitatively analyzed 37 representative HPPs from the pilot areas in Sichuan province. In addition, a team of experts conducted a field assessment. RESULTS: The results showed that the average PMC index of 37 HPPs was 7.091, and correlation analysis showed that there was a significant correlation between the PMC index and expert score. CONCLUSIONS: This study indicates that the overall consistency of HPPs was good and proves a connection between the formulation and implementation of HPPs. BioMed Central 2022-12-20 /pmc/articles/PMC9764584/ /pubmed/36539758 http://dx.doi.org/10.1186/s12889-022-14860-9 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, Yanlin Tang, Jing Li, Zhixin Wen, Jin How effective is the health promotion policy in Sichuan, China: based on the PMC-Index model and field evaluation |
title | How effective is the health promotion policy in Sichuan, China: based on the PMC-Index model and field evaluation |
title_full | How effective is the health promotion policy in Sichuan, China: based on the PMC-Index model and field evaluation |
title_fullStr | How effective is the health promotion policy in Sichuan, China: based on the PMC-Index model and field evaluation |
title_full_unstemmed | How effective is the health promotion policy in Sichuan, China: based on the PMC-Index model and field evaluation |
title_short | How effective is the health promotion policy in Sichuan, China: based on the PMC-Index model and field evaluation |
title_sort | how effective is the health promotion policy in sichuan, china: based on the pmc-index model and field evaluation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764584/ https://www.ncbi.nlm.nih.gov/pubmed/36539758 http://dx.doi.org/10.1186/s12889-022-14860-9 |
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