Evidence map›Paper›PMID 37280602›Full record

ReviewBMC public health2023

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

Yunting Zheng, Yuhui Shi, Ying Ji, Xiurong Liu, Haoxiang Lin, Meijun Chen, Qingping Yun, Chun Chang

Open access · goldAbstract readReview
In one paragraph

Review in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Yunting ZhengSchool of Health Management, Fujian Medical University, Fuzhou, 350122, China.
Yuhui ShiDepartment of Social Medicine and Health Education, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China.
Ying JiDepartment of Social Medicine and Health Education, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China.
Xiurong LiuBeijing Center for Disease Prevention and Control, Beijing, 100013, China.
Haoxiang LinDepartment of Social Medicine and Health Education, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China.
Meijun ChenUniversity of Hong Kong, Hongkong, 999077, China.
Qingping YunShenzhen Institutes of Advanced Technology, Shenzhen, 518055, China.
Chun ChangDepartment of Social Medicine and Health Education, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China. changchun@bjmu.edu.cn.
Peking University · CNBeijing Center for Disease Prevention and Control · CNShenzhen Institutes of Advanced Technology · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBeijing 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.

methodsThis 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.

resultsTwenty-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.

conclusionThis 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.

Indexed as

Health Impact AssessmentTobacco ControlBeijingHumansPolicySmokingHealth Impact AssessmentIndicator SetTobacco Control

Identifiers

PMID37280602
PMCPMC10246358
OpenAlexW4379536112

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.