ArticleHuman vaccines & immunotherapeutics2020
Seasonal influenza vaccination among people with diabetes: influence of patients' characteristics and healthcare use on behavioral changes.
Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Uptake of COVID-19 vaccinations amongst 3,433,483 children and young people: meta-analysis of UK prospective cohorts.Nature communications · 2024Pooled it
- Factors determining first influenza vaccination among individuals with type 2 diabetes in the CONSTANCES cohort by age group (younger than 65 years or 65 and older).Human vaccines & immunotherapeutics · 2025Article
- Article
- COVID-19 Vaccine Acceptance, Hesitancy, and Uptake in People with Diabetes in Australia.Vaccines · 2024Article
- Behavioural and Cognitive Attitudes of Paediatricians towards Influenza Self-Vaccination-Partial Mediation Model.Vaccines · 2022Article
- Influenza vaccination and prognosis for COVID-19 in hospitalized patients with diabetes: Results from the CORONADO study.Diabetes, obesity & metabolism · 2022Article
- Hesitant or Not Hesitant? A Systematic Review on Global COVID-19 Vaccine Acceptance in Different Populations.Vaccines · 2021Review
- Type 1 Diabetes Patients' Practice, Knowledge and Attitudes towards Influenza Immunization.Vaccines · 2021Article
- Rate and Predictors of Hesitancy toward SARS-CoV-2 Vaccine among Type 2 Diabetic Patients: Results from an Italian Survey.Vaccines · 2021Article
- Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Annual seasonal influenza vaccination (SIV) is recommended for people with diabetes, but vaccine coverage remains low. We estimated the probabilities of stopping or starting SIV, their correlates, and the expected time spent in the vaccinated state over 10 seasons for different patient profiles. We set up a retrospective cohort study of patients with diabetes in 2006 (n = 16,026), identified in a representative sample of beneficiaries of the French National Health Insurance Fund. We followed them up over 10 seasons (2005/06-2015/16). We used a Markov model to estimate transition probabilities and a proportional hazards model to study covariates. Between two consecutive seasons, the probabilities of starting (0.17) or stopping (0.09) SIV were lower than those of remaining vaccinated (0.91) or unvaccinated (0.83). Men, older patients, those with type 1 diabetes, treated diabetes or more comorbidities, frequent contacts with doctors, and with any hospital stay for diabetes or influenza during the last year were more likely to start and/or less likely to stop SIV. The mean expected number of seasons with SIV uptake over 10 seasons (range: 2.6-7.9) was lowest for women <65 years with untreated diabetes and highest for men ≥65 years with type 1 diabetes. Contacts with doctors and some clinical events may play a key role in SIV adoption. Healthcare workers have a crucial role in reducing missed opportunities for SIV. The existence of empirical patient profiles with different patterns of SIV uptake should encourage their use of tailored educational approaches about SIV to address patients' vaccine hesitancy.
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