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Factors effecting influenza vaccination uptake among health care workers: a multi-center cross-sectional study

Overview of attention for article published in BMC Infectious Diseases, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
policy
1 policy source

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
156 Mendeley
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Title
Factors effecting influenza vaccination uptake among health care workers: a multi-center cross-sectional study
Published in
BMC Infectious Diseases, May 2016
DOI 10.1186/s12879-016-1528-9
Pubmed ID
Authors

Süheyl Asma, Hülya Akan, Yücel Uysal, A. Gürhan Poçan, Mustafa Haki Sucaklı, Erhan Yengil, Çiğdem Gereklioğlu, Aslı Korur, İbrahim Başhan, A. Ferit Erdogan, A. Kürşat Özşahin, Altuğ Kut

Abstract

The present study aimed to identify factors affecting vaccination against influenza among health professionals. We used a multi-centre cross-sectional design to conduct an online self-administered questionnaire with physicians and nurses at state and foundation university hospitals in the south-east of Turkey, between 1 January 2015 and 1 February 2015. The five participating hospitals provided staff email address lists filtered for physicians and nurses. The questionnaire comprised multiple choice questions covering demographic data, knowledge sources, and Likert-type items on factors affecting vaccination against influenza. The target response rate was 20 %. In total, 642 (22 %) of 2870 health professionals (1220 physicians and 1650 nurses) responded to the questionnaire. Participants' mean age was 29.6 ± 9.2 years (range 17-62 years); 177 (28.2 %) were physicians and 448 (71.3 %) were nurses. The rate of regular vaccination was 9.2 % (15.2 % for physicians and 8.2 % for nurses). Increasing age, longer work duration in health services, being male, being a physician, working in an internal medicine department, having a chronic disease, and living with a person over 65 years old significantly increased vaccination compliance (p < 0.05). We found differences between vaccine compliant and non-compliant groups for expected benefit from vaccination, social influences, and personal efficacy (p < 0.05). Univariate analysis showed differences between the groups in perceptions of personal risks, side effects, and efficacy of the vaccine (p < 0.05). Multivariate analysis found that important factors influencing vaccination behavior were work place, colleagues' opinions, having a chronic disease, belief that vaccination was effective, and belief that flu can be prevented by natural ways. Numerous factors influence health professionals' decisions about influenza vaccination. Strategies to increase the ratio of vaccination among physicians and nurses should consider all of these factors to increase the likelihood of success.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 156 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 15%
Researcher 17 11%
Student > Ph. D. Student 14 9%
Student > Bachelor 14 9%
Other 12 8%
Other 25 16%
Unknown 51 33%
Readers by discipline Count As %
Medicine and Dentistry 34 22%
Nursing and Health Professions 27 17%
Psychology 8 5%
Social Sciences 6 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 15 10%
Unknown 61 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2021.
All research outputs
#1,797,474
of 22,867,327 outputs
Outputs from BMC Infectious Diseases
#476
of 7,687 outputs
Outputs of similar age
#31,399
of 298,972 outputs
Outputs of similar age from BMC Infectious Diseases
#13
of 156 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,687 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.