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Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors
OBJECTIVES: To evaluate the effect of social network influences on seasonal influenza vaccination uptake by healthcare workers. DESIGN: Cross-sectional, observational study. SETTING: A large secondary care NHS Trust which includes four hospital sites in Greater Manchester. PARTICIPANTS: Foundation d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720148/ https://www.ncbi.nlm.nih.gov/pubmed/31471430 http://dx.doi.org/10.1136/bmjopen-2018-026997 |
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author | Edge, Rhiannon Keegan, Thomas Isba, Rachel Diggle, Peter |
author_facet | Edge, Rhiannon Keegan, Thomas Isba, Rachel Diggle, Peter |
author_sort | Edge, Rhiannon |
collection | PubMed |
description | OBJECTIVES: To evaluate the effect of social network influences on seasonal influenza vaccination uptake by healthcare workers. DESIGN: Cross-sectional, observational study. SETTING: A large secondary care NHS Trust which includes four hospital sites in Greater Manchester. PARTICIPANTS: Foundation doctors (FDs) working at the Pennine Acute Hospitals NHS Trust during the study period. Data collection took place during compulsory weekly teaching sessions, and there were no exclusions. Of the 200 eligible FDs, 138 (70%) provided complete data. PRIMARY OUTCOME MEASURES: Self-reported seasonal influenza vaccination status. RESULTS: Among participants, 100 (72%) reported that they had received a seasonal influenza vaccination. Statistical modelling demonstrated that having a higher proportion of vaccinated neighbours increased an individual’s likelihood of being vaccinated. The coefficient for γ, the social network parameter, was 0.965 (95% CI: 0.248 to 1.682; odds: 2.625 (95% CI: 1.281 to 5.376)), that is, a diffusion effect. Adjusting for year group, geographical area and sex did not account for this effect. CONCLUSIONS: This population exhibited higher than expected vaccination coverage levels–providing protection both in the workplace and for vulnerable patients. The modelling approach allowed covariate effects to be incorporated into social network analysis which gave us a better understanding of the network structure. These techniques have a range of applications in understanding the role of social networks on health behaviours. |
format | Online Article Text |
id | pubmed-6720148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-67201482019-09-17 Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors Edge, Rhiannon Keegan, Thomas Isba, Rachel Diggle, Peter BMJ Open Occupational and Environmental Medicine OBJECTIVES: To evaluate the effect of social network influences on seasonal influenza vaccination uptake by healthcare workers. DESIGN: Cross-sectional, observational study. SETTING: A large secondary care NHS Trust which includes four hospital sites in Greater Manchester. PARTICIPANTS: Foundation doctors (FDs) working at the Pennine Acute Hospitals NHS Trust during the study period. Data collection took place during compulsory weekly teaching sessions, and there were no exclusions. Of the 200 eligible FDs, 138 (70%) provided complete data. PRIMARY OUTCOME MEASURES: Self-reported seasonal influenza vaccination status. RESULTS: Among participants, 100 (72%) reported that they had received a seasonal influenza vaccination. Statistical modelling demonstrated that having a higher proportion of vaccinated neighbours increased an individual’s likelihood of being vaccinated. The coefficient for γ, the social network parameter, was 0.965 (95% CI: 0.248 to 1.682; odds: 2.625 (95% CI: 1.281 to 5.376)), that is, a diffusion effect. Adjusting for year group, geographical area and sex did not account for this effect. CONCLUSIONS: This population exhibited higher than expected vaccination coverage levels–providing protection both in the workplace and for vulnerable patients. The modelling approach allowed covariate effects to be incorporated into social network analysis which gave us a better understanding of the network structure. These techniques have a range of applications in understanding the role of social networks on health behaviours. BMJ Publishing Group 2019-08-30 /pmc/articles/PMC6720148/ /pubmed/31471430 http://dx.doi.org/10.1136/bmjopen-2018-026997 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Occupational and Environmental Medicine Edge, Rhiannon Keegan, Thomas Isba, Rachel Diggle, Peter Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors |
title | Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors |
title_full | Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors |
title_fullStr | Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors |
title_full_unstemmed | Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors |
title_short | Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors |
title_sort | observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors |
topic | Occupational and Environmental Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720148/ https://www.ncbi.nlm.nih.gov/pubmed/31471430 http://dx.doi.org/10.1136/bmjopen-2018-026997 |
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