Characteristics and health behaviors of diabetic patients receiving influenza vaccination

Achtymichuk, Karly A; Johnson, Jeffrey; Sayah, Fatima Al; Eurich, Dean T.

doi:10.1016/j.vaccine.2015.05.047

Cited by 18 publications

(18 citation statements)

References 27 publications

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“…Our results (Table 2) confirm that both modifiable (medical care) and nonmodifiable factors (aging and clinical deterioration) were associated with increased SIV uptake rates. 6,12,14,20 This finding is both intuitive and fortunate and helps to lighten, in part, the dark picture of low SIV coverage in patients with diabetes: low coverage involves, above all, patients with the least serious forms of disease. Our results suggest that any clinical encounter with patients with diabetes, both vaccinated and nonvaccinated, should be taken as a new opportunity to make them aware of the importance of SIV, especially when their diabetes is becoming more severe.…”

Section: Discussionmentioning

confidence: 76%

“…From a statistical standpoint, our study is the first to use an MSM model to estimate transition probabilities for SIV behaviors. Moreover, although several previous studies have examined the factors associated with being vaccinated (or not), 6,12,14,20 our approach is the first one to explore associations between shifts in SIV behaviors and several demographic and clinical characteristics. This is essential for identifying opportunities (critical periods and events) to promote SIV.…”

Section: Discussionmentioning

confidence: 99%

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Seasonal influenza vaccination among people with diabetes: influence of patients’ characteristics and healthcare use on behavioral changes

Bocquier

Cortaredona

Fressard

et al. 2020

Human Vaccines & Immunotherapeutics

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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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Section: Discussionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Seasonal influenza vaccination among people with diabetes: influence of patients’ characteristics and healthcare use on behavioral changes

Bocquier

Cortaredona

Fressard

et al. 2020

Human Vaccines & Immunotherapeutics

View full text Add to dashboard Cite

show abstract

“…The prevalences of pneumonia and influenza that required hospitalisation were investigated for cases and controls. To avoid a healthy user bias, the association of the vaccination rates in the federal states with the pneumonia prevalences was shown on an ecological level (not on an individual basis) [19,20]. All analyses were performed with SAS 9.2.…”

Section: Statistical Analysesmentioning

confidence: 99%

Influenza and pneumococcal vaccination in patients with rheumatoid arthritis in comparison with age- and sex-matched controls: results of a claims data analysis

et al. 2016

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The aim of this study was to assess the vaccination status for influenza and pneumonia and the prevalence of hospitalised pneumonia in rheumatoid arthritis (RA) patients and population controls in Germany. Members of a large statutory health insurance fund in Germany who were continuously insured between 2009 and 2013 and had a diagnosis of RA in 2013 were age and sex matched 1:5 to members without RA. Pneumococcal and influenza vaccinations were evaluated with regard to age, sex and region of residence. Logistic regression models were used to determine predictors for influenza vaccination in RA patients. Prevalences of pneumonia that required hospitalisation were compared to regional vaccination rates. The data of 111,482 RA patients and 557,410 matched controls were available for analysis. Compared to controls, RA patients were vaccinated more frequently against influenza (40.8 vs. 32.2 %) and pneumonia (15.0 vs. 10.0 %). Vaccination rates increased with older age and differed between the federal states (highest in East Germany, lowest in South Germany). The region of residence, comorbidities, rheumatologic care and biologic treatment was associated with a higher probability of an influenza vaccination. Prevalences of pneumonia that required hospitalisation were 2-3 times higher in patients compared to controls and tended to be higher in regions with low vaccination rates. The increased pneumonia prevalence in RA patients confirms their status as a risk group. RA patients are vaccinated more frequently than controls, but vaccination rates are still low. The lower pneumonia prevalence in East Germany indicates that vaccination may help to reduce pneumonia in RA.

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“…Low incomes [29], the profession [30], a low level of education [31] are connected to poor compliance with the influenza vaccine schedule. A Canadian study shows that vaccinated diabetics have a better follow-up and a better treatment compliance [24]. A French study shows that a low income is linked to a lower chance of being vaccinated [29].…”

Section: Discussionmentioning

confidence: 99%

“…The vaccination bias leads to an overestimation of VE. This difference in behaviours can be explained through unobserved factors such as the clinical and follow-ups, compliance to treatment recommendations, drug compliance, and is linked to the social and financial statuses [24][25][26]. None of the seven studies could neutralize nor lessen this healthy vaccinee bias [18].…”

Section: Identified Biasesmentioning

confidence: 99%

Bias in the measure of the effectiveness of seasonal influenza vaccination among diabetics

Casanova

Gobin

Villani

et al. 2016

Primary Care Diabetes

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Characteristics and health behaviors of diabetic patients receiving influenza vaccination

Cited by 18 publications

References 27 publications

Seasonal influenza vaccination among people with diabetes: influence of patients’ characteristics and healthcare use on behavioral changes

Seasonal influenza vaccination among people with diabetes: influence of patients’ characteristics and healthcare use on behavioral changes

Influenza and pneumococcal vaccination in patients with rheumatoid arthritis in comparison with age- and sex-matched controls: results of a claims data analysis

Bias in the measure of the effectiveness of seasonal influenza vaccination among diabetics

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