Evidence map›Paper›PMID 29995561›Full record

ArticleHuman vaccines & immunotherapeutics2018

Low coverage rate and awareness of influenza vaccine among older people in Shanghai, China: A cross-sectional study.

Chuchu Ye, Weiping Zhu, Jianxing Yu, Zhongjie Li, Wenbiao Hu, Lipeng Hao, Yuanping Wang, Hongmei Xu, Qiao Sun, Genming Zhao

Open access · hybridAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 4 institutions in 2 countries.

Chuchu Yea Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University , Shanghai , China.ORCID http://orcid.org/0000-0003-4461-4111
Weiping Zhub Research Base of Key Laboratory of Surveillance and Early Warning on Infectious Disease in China CDC, Shanghai Pudong New Area Center for Disease Control and Prevention , Shanghai , China.
Jianxing Yuc Institute of Pathogen Biology Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing , China.
Zhongjie Lid Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Centers for Disease Control and Prevention , Beijing , China.
Wenbiao Hue School of Public Health and Social Work, Faculty of Health, Queensland University of Technology , Brisbane , Australia.
Lipeng Haob Research Base of Key Laboratory of Surveillance and Early Warning on Infectious Disease in China CDC, Shanghai Pudong New Area Center for Disease Control and Prevention , Shanghai , China.
Yuanping Wangb Research Base of Key Laboratory of Surveillance and Early Warning on Infectious Disease in China CDC, Shanghai Pudong New Area Center for Disease Control and Prevention , Shanghai , China.ORCID http://orcid.org/0000-0002-0659-9208
Hongmei Xub Research Base of Key Laboratory of Surveillance and Early Warning on Infectious Disease in China CDC, Shanghai Pudong New Area Center for Disease Control and Prevention , Shanghai , China.
Qiao Sunb Research Base of Key Laboratory of Surveillance and Early Warning on Infectious Disease in China CDC, Shanghai Pudong New Area Center for Disease Control and Prevention , Shanghai , China.
Genming Zhaoa Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University , Shanghai , China.
Chinese Center For Disease Control and Prevention · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFudan University · CNQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder individuals are at high risk for morbidity and mortality due to influenza, and the most effective way to prevent influenza is yearly vaccination. In China, the influenza vaccine is not covered by the national Expanded Program on Immunization, and more evidence is needed about influenza vaccine usage among older individuals.

objectiveTo determine the influenza vaccination coverage and its influencing factors, and understand barriers to older adults receiving influenza vaccinations in Shanghai, China.

methodsA cross-sectional survey was conducted with residents aged 60 and older. Vaccination status in the 2016-17 influenza season and reasons for or against vaccination were surveyed. The vaccination coverage rates were adjusted by gender, age and community distribution, and potential factors influencing vaccination uptake were determined by bivariate logistic regression.

resultsIn total, 253 of the 4417 respondents received an influenza vaccine during the 2016-17 season, yielding an adjusted coverage rate of 5.2% (95% CI, 4.5-5.8). The frequency of receiving the vaccine was higher for older individuals living with family/friends than that for those living alone (

conclusionInfluenza vaccination coverage is extremely low among older people in Shanghai, and lack of awareness of the influenza vaccine might be a potential barrier to vaccination. Our study highlights the need for an appropriate influenza vaccination strategy and program targeting the older population.

Indexed as

coverageinfluenzaolder peoplevaccination

Identifiers

PMID29995561
PMCPMC6314411
OpenAlexW2875821762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.