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Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing

INTRODUCTION: Beijing initiated the nation’s most comprehensive tobacco control program that adheres to the WHO Framework Convention on Tobacco Control. This study aimed to identify a set of indicators for the scoping of an Health Impact Assessment (HIA) to assess this policy. METHODS: This study us...

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Autores principales: Zheng, Yunting, Shi, Yuhui, Ji, Ying, Liu, Xiurong, Lin, Haoxiang, Chen, Meijun, Yun, Qingping, Chang, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246358/
https://www.ncbi.nlm.nih.gov/pubmed/37280602
http://dx.doi.org/10.1186/s12889-023-15982-4
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author Zheng, Yunting
Shi, Yuhui
Ji, Ying
Liu, Xiurong
Lin, Haoxiang
Chen, Meijun
Yun, Qingping
Chang, Chun
author_facet Zheng, Yunting
Shi, Yuhui
Ji, Ying
Liu, Xiurong
Lin, Haoxiang
Chen, Meijun
Yun, Qingping
Chang, Chun
author_sort Zheng, Yunting
collection PubMed
description INTRODUCTION: Beijing initiated the nation’s most comprehensive tobacco control program that adheres to the WHO Framework Convention on Tobacco Control. This study aimed to identify a set of indicators for the scoping of an Health Impact Assessment (HIA) to assess this policy. METHODS: This study used a modified Delphi process. It proposed a tobacco control health impact framework based on the Driving forces- Pressure- State- Exposure- Effect- Action model and the Determinants of Health Theory. After a review of current surveillance system and literature, a working group of 13 experts with multidisciplinary background was established to formulate indicator evaluation criteria and conduct indicator scoring. Each indicator was scored by experts according to four evaluation criteria chosen. Indicators that obtained a total score above 80% and with standard error less than 5 were selected as the final set of indicators. Kendall’s coefficient of concordance was calculated. RESULTS: Twenty-three out of 36 indicators were selected. Smoking prevalence, mortality rate, hospital admission rate, tobacco consumption and hospital admission fees of smoking related diseases achieved more than 90% of total scores and ranked as the top five. Kendall’s concordance coefficient was 0.218 for all indicators. For all model composition, Kendall’s concordance coefficients were statistically significant. CONCLUSION: This study identified a set of twenty-three indicators for scoping of HIA of a comprehensive tobacco control policy in Beijing based on a tobacco control health impact conceptual framework. The set of indicators achieved high scores and statistically significant consistency and has great potential to promote the evaluation of tobacco control policy in a global city. Further study might use the set of indicators for HIA on tobacco control policy to analyze empirical data.
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spelling pubmed-102463582023-06-08 Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing Zheng, Yunting Shi, Yuhui Ji, Ying Liu, Xiurong Lin, Haoxiang Chen, Meijun Yun, Qingping Chang, Chun BMC Public Health Research INTRODUCTION: Beijing initiated the nation’s most comprehensive tobacco control program that adheres to the WHO Framework Convention on Tobacco Control. This study aimed to identify a set of indicators for the scoping of an Health Impact Assessment (HIA) to assess this policy. METHODS: This study used a modified Delphi process. It proposed a tobacco control health impact framework based on the Driving forces- Pressure- State- Exposure- Effect- Action model and the Determinants of Health Theory. After a review of current surveillance system and literature, a working group of 13 experts with multidisciplinary background was established to formulate indicator evaluation criteria and conduct indicator scoring. Each indicator was scored by experts according to four evaluation criteria chosen. Indicators that obtained a total score above 80% and with standard error less than 5 were selected as the final set of indicators. Kendall’s coefficient of concordance was calculated. RESULTS: Twenty-three out of 36 indicators were selected. Smoking prevalence, mortality rate, hospital admission rate, tobacco consumption and hospital admission fees of smoking related diseases achieved more than 90% of total scores and ranked as the top five. Kendall’s concordance coefficient was 0.218 for all indicators. For all model composition, Kendall’s concordance coefficients were statistically significant. CONCLUSION: This study identified a set of twenty-three indicators for scoping of HIA of a comprehensive tobacco control policy in Beijing based on a tobacco control health impact conceptual framework. The set of indicators achieved high scores and statistically significant consistency and has great potential to promote the evaluation of tobacco control policy in a global city. Further study might use the set of indicators for HIA on tobacco control policy to analyze empirical data. BioMed Central 2023-06-06 /pmc/articles/PMC10246358/ /pubmed/37280602 http://dx.doi.org/10.1186/s12889-023-15982-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Zheng, Yunting
Shi, Yuhui
Ji, Ying
Liu, Xiurong
Lin, Haoxiang
Chen, Meijun
Yun, Qingping
Chang, Chun
Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing
title Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing
title_full Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing
title_fullStr Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing
title_full_unstemmed Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing
title_short Defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of Beijing
title_sort defining indicators for the scoping stage of health impact assessment to evaluate tobacco control policy in the city of beijing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246358/
https://www.ncbi.nlm.nih.gov/pubmed/37280602
http://dx.doi.org/10.1186/s12889-023-15982-4
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