Evidence map›Paper›PMID 35701799›Full record

ArticleBMC public health2022

Accelerate the process of getting vaccinated: factors associated with consideration of and accessibility to COVID-19 vaccination in metropolises of China.

Yinliang Tan, Zhilan Xie, Ying Qian, Jie Gu, Yundan Bai, Xiaoqing Gu, Zheng Ye, Jianmin Feng, Jiaoling Huang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

9 authors at 6 institutions in 1 country.

Yinliang Tan *School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 S Chongqing Rd, Huangpu District, Shanghai, 200025, China.
Zhilan Xie *School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 S Chongqing Rd, Huangpu District, Shanghai, 200025, China.
Ying QianBusiness School, University of Shanghai for Science and Technology, Shanghai, China. qianying@usst.edu.cn.
Jie GuDepartment of General Practition, Zhongshan Hospital Fudan University, Shanghai, 200093, China.
Yundan BaiChengdu First People's Hospital, Health Management Medical Center, Chengdu, Sichuan Province, China.
Xiaoqing GuXidu Community Health Service Center of Fengxian District, Shanghai, China.
Zheng YeChangfeng Community Health Service Center of Putuo District, Shanghai, China.
Jianmin FengDepartment of General Practition, First Hospital of Nanping, Nanping, Fujian Province, China.
Jiaoling HuangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, 227 S Chongqing Rd, Huangpu District, Shanghai, 200025, China. jiaoling_huang@sina.com.
Shanghai Jiao Tong University · CNCentral Hospital of Putuo District · CNFirst Affiliated Hospital of Chengdu Medical College · CNFudan University · CNUniversity of Shanghai for Science and Technology · CNXian Mental Health Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid mutation of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus is sweeping the world and delaying the full reopening of society. Acceleration of the vaccination process may be the key element in winning the race against this virus. We examine factors associated with personal considerations of and accessibility to the corona virus disease 2019 (COVID-19) vaccination in metropolises of China.

methodsThis multi-center, cross-sectional research was conducted using online questionnaires from April 1 to June 1, 2021, in community health service centers of Shanghai, Chengdu and Fuzhou. 9,047 vaccinated participants were included and data for 8,990 individuals were eligible for analysis. Chi-square test was conducted to find potential predictors, which were included in the logistic regressions. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the influence of region, socio-economic status (SES), and attitudes on vaccination process.

resultsIn consideration phase, participants in Fuzhou (OR:2.26, 95%CI: 1.90 to 2.68) and Chengdu (OR: 2.48, 95%CI: 2.17 to 2.83) were more likely than those in Shanghai to consider longer than one month. These odds increased for participants with master or above degree (reference: illiteracy and primary school), higher monthly household income (reference: < ¥5000), and greater vaccination hesitancy (reference: low hesitancy). Unemployed and household-based participants (OR: 3.37, 95%CI: 1.69 to 6.75, reference: farmer) and participants without brand preference (OR:1.13, 95%CI:1.02 to 1.26) may take longer time of consideration. In the accessibility phase, participants in Fuzhou (OR: 8.82, 95%CI: 7.28 to 10.68) and Chengdu (OR: 2.28, 95%CI: 1.98 to 2.63) were more likely to wait longer than one week. These odds decreased for participants with master or above degree (reference: illiteracy and primary school), monthly household income from ¥5000 to ¥10,000 (reference: < ¥5000), and teacher or student (reference: farmer). Participants without brand preference (OR: 0.86, 95%CI: 0.77 to 0.95) were likely to wait shorter after appointment, while participants with higher risk awareness of domestic epidemic (medium, OR: 1.24, 95%CI: 1.12 to 1.37, reference: low) may wait longer.

conclusionsThe influential factors changed over two phases of vaccination process. Regional disparity affected both consideration and accessibility phases. Expect that, SES, and hesitancy were major factors of the consideration phase, but had limited impact on accessibility phase.

Indexed as

COVID-19ChinaCOVID-19 VaccinesCross-Sectional StudiesHumansSARS-CoV-2VaccinationCOVID-19 VaccinesCOVID-19 pandemicHealth disparityHealth policyVaccination

Identifiers

PMID35701799
PMCPMC9192917
OpenAlexW4282823333

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.