Losing ground at the wrong time: trends in self-reported influenza vaccination uptake in Switzerland, Swiss Health Survey 2007-2017

The effect of alcohol, tobacco, and other drug use on vaccine acceptance, uptake, and adherence: a systematic review

BACKGROUND

Vaccine hesitancy is increasingly recognized as a health challenge affecting populations worldwide. Given the biological vulnerabilities and structural barriers people who use substances and/or have behavioral addictions face, this systematic review aims to evaluate whether this subpopulation is less prone to adhere to vaccination recommendations.

METHODS

Electronic searches of published original research were conducted in PubMed, EMBASE, Scopus, and PsycINFO from database inception to December 2022. Our strategy encompassed retrievals regardless of languages and date of publication. Animal studies, abstracts without a full manuscript, and studies which were considered to have lower robustness of scientific evidence were excluded. Outcomes measured were vaccine acceptance, uptake, and adherence. Results were interpreted through a narrative synthesis.

RESULTS

The search yielded 103 retrievals encompassing data collected on 5 576 374 persons who were predominantly residents of Europe (n = 39) and North America (n = 27). Tobacco use, the substance for which many studies were found (n = 91), was significantly associated with poorer vaccine acceptance, uptake and adherence for influenza, COVID-19, human papillomavirus (HPV), and maternal and childhood vaccines. Peri-natal and parental substance use was identified as a risk factor for suboptimal vaccine-related outcomes concerning maternal COVID-19 and childhood vaccines. Finally, people identified as 'using', 'abusing', or 'misusing' drugs or substances may be at decreased odds of all outcomes in various vaccines.

CONCLUSIONS

Collectively, the studies identified several groups with statistically significant greater vaccine hesitancy and decreased engagement among whom targeted measures could be beneficial. Timely evidence, especially on behavioral addictions and substances besides tobacco, is lacking, and warrants urgent attention.

Influenza vaccination patterns among at-risk patients during the Covid-19 pandemic-a retrospective cross-sectional study based on claims data

PURPOSE

The Covid-19 pandemic may have encouraged at-risk patients to get vaccinated against influenza for the first time. As previous vaccinations are known predictors for further vaccinations, knowledge about individual vaccination patterns, especially in first time vaccinated patients, is of great interest. The aim of this study was to determine influenza vaccination uptake rate (VUR), individual vaccination patterns and factors associated with vaccination uptake among at-risk patients.

METHODS

The study design was retrospective cross-sectional. Based on claims data, VUR was determined for four influenza seasons (2018/2019-2021/2022). In a cohort subgroup, with data available for all seasons, VUR, vaccination patterns and factors associated with uptake were determined. At-risk patients were people aged ≥ 65 and adult patients with chronic diseases.

RESULTS

We included n = 238,461 patients in the cross-sectional analysis. Overall VUR ranged between 21.8% (2018/2019) and 29.1% (2020/2021). Cohort subgroup consisted of n = 138,526 patients. Within the cohort, 56% were never vaccinated and 11% were vaccinated in all seasons. 14.3% of previously unvaccinated patients were vaccinated for the first time in the first pandemic season (2020/2021 season). The strongest predictor for vaccination was history of vaccinations in all previous seasons (OR 56.20, 95%CI 53.62-58.90, p < 0.001).

CONCLUSION

Influenza VUR increased during the Covid-19 pandemic, but only a minority of previously eligible but unvaccinated at-risk patients were vaccinated for the first time in the first pandemic season. Previous vaccinations are predictors for subsequent vaccinations and health care professionals should actively address at-risk patients' vaccination history in order to recommend vaccination in future seasons.

Strategies to increase the coverage of influenza and pneumonia vaccination in older adults: a systematic review and network meta-analysis

BACKGROUND

It is urgent to implement interventions to increase vaccination rates of influenza/pneumonia vaccines in older adults, yet the effectiveness of different intervention strategies has not been thoroughly evaluated.

OBJECTIVE

We aimed to assess the effectiveness of intervention strategies for increasing the coverage of influenza/pneumonia vaccination in older adults.

METHODS

PubMed, Web of Science, Cochrane Library, Embase, China Biology Medicine disc, China National Knowledge Infrastructure and Wanfang were searched from 1 January 2000 to 1 October 2022. RCTs that assessed any intervention strategies for increasing influenza/pneumonia vaccination coverage or willingness in older adults were included. A series of random-effects network meta-analysis was conducted by using frequentist frameworks.

RESULTS

Twenty-two RCTs involving 385,182 older participants were eligible for further analysis. Eight types of intervention strategies were evaluated. Compared with routine notification, health education (odds ratio [OR], 1.85 [95%CI, 1.19 to 2.88]), centralised reminder (OR, 1.63 [95%CI, 1.07 to 2.47]), health education + onsite vaccination (OR, 2.89 [95%CI, 1.30 to 6.39]), and health education + centralised reminder + onsite vaccination (OR, 20.76 [95%CI, 7.33 to 58.74]) could effectively improve the vaccination rate. The evidence grade was low or very low due to the substantial heterogeneity among studies.

CONCLUSIONS

Our findings suggest that health education + centralised reminder + onsite vaccination may potentially be an effective strategy regardless of cost, but the evidence level was low. More rigorous trials are needed to identify the association between strategies and vaccination rates among older adults and to integrate such evidence into clinical care to improve vaccination rates.

Peri-Pandemic Acceptance of Influenza and COVID-19 Vaccination by Swiss Healthcare Workers in Primary Care 2020/21: A Cross-Sectional Study

Objectives: To assess and compare influenza and COVID-19 vaccination uptake of Swiss healthcare workers (HCWs) in primary care 2020/21. Methods: Influenza and COVID-19 vaccination uptake and recommendation behaviours of HCWs in the primary care were assessed using an online semi-structured questionnaire. Associations between vaccination rates and age, language, gender, profession, vaccination history, vaccination training and recommendation behaviours were evaluated using descriptive and multivariable logistic regression analyses. Results: Vaccinated against COVID-19 in 2020/21 were 91.8% of the 1,237 participating HCWs, while 60.1% were vaccinated against influenza. Physicians and pharmacists presented the highest influenza vaccination rates (87.3%, 73.7%, respectively) compared to nurses (45.8%) and medical practice assistants (52.5%) while COVID-19 vaccination rates were high across all professions. Influenza and COVID-19 vaccination rates were significantly associated with age, profession, vaccination history, vaccination training and recommendation behaviours. Conclusion: Acceptance for influenza vaccination has increased during the pandemic but is lower than that for COVID-19 among the HCWs. Demographics, vaccination status and vaccination training impact the vaccination behaviour among HCWs and should be considered in future campaigns to increase vaccination uptake.

Influence of cantonal health policy frameworks & activities on the influenza vaccination rate in patients with non-communicable diseases in Switzerland

BACKGROUND AND OBJECTIVE

Seasonal influenza may cause serious illness, especially in high-risk populations such as older adults and individuals suffering from non-communicable diseases (NCD) and may be prevented by a vaccination. However, an assessment of the impact of the Swiss legal frameworks and number of health activities on influenza vaccination coverage of the population at the cantonal level is lacking.

METHODS

Two participating healthcare insurers sent out 25,000 semi-structured questionnaires to their subscribers aged 60-85 in five Swiss cantons selected according to the number of health activities and legal framework regarding influenza vaccination and linguistic region. Influenza vaccination coverage of the participants was evaluated and stratified by disease status, age, canton, and linguistic region. Results were compared by cantonal activities, legal framework, and linguistic region.

RESULTS

7,617 valid questionnaires were evaluated from the cantons Aargau, Jura, St. Gallen, Schwyz, and Vaud. 47.9 % stated to have an NCD, with the most frequent being muscle/ skeletal disease (36.7%). Before 2018, 48.6% were vaccinated against influenza, and 35.9% in 2019, with the highest in canton Vaud. In all cantons and in both survey periods, NCD patients and those aged 73-85 had a higher vaccination coverage than participants without NCD, and aged 60-72. There was no difference in the odds of getting an influenza shot based on legal framework. Although a comparison of the number of activities between the German-speaking cantons did not reveal any significant differences, the odds of the participants living in a French-speaking canton getting an influenza vaccination was more likely than those living in a German-speaking canton.

CONCLUSION

There was no association between the investigated cantonal frameworks and number of health activities and influenza vaccination coverage in NCD patients in the selected cantons. However, age, disease status and linguistic region appear to have an influence on vaccination uptake.

Subjective health status: an easily available, independent, robust and significant predictive factor at the prometaphase of vaccination programs for the vaccination behavior of Chinese adults

BACKGROUND

The World Health Organization (WHO) proposed COVID-19 vaccination as an emergent and important method to end the COVID-19 pandemic. Since China started vaccination programs in December 2020, vaccination has spread to provinces and municipalities nationwide. Previous research has focused on people's vaccination willingness and its influencing factors but has not examined vaccination behavior. We examine the effectiveness of psychosocial factors in predicting vaccination behavior.

METHODS

A cross-sectional online survey was performed among Chinese adults on 8 May and 4 June 2021. The statistical analysis of the data included univariate analysis, receiver operator characteristics (ROC) analysis and ordinal multiclassification logistic regression model analysis.

RESULTS

Of the 1300 respondents, 761 (58.5%) were vaccinated. Univariate analysis showed that a high education level and good subjective health status were protective factors for vaccination behavior, while suffering from chronic diseases was a risk factor. ROC analysis showed that subjective health status (AUC = 0.625, 95% CI: 0.594-0.656, P < 0.001) was the best predictor of vaccination behavior. Logistic regression analysis with subjective health status as a dependent variable indicated that older age, female sex, depression, neurasthenia, obsession, hypochondriasis and chronic disease were significant risk factors, while positive coping tendencies were a significant protective factor.

CONCLUSION

Our study found a simple and effective marker, subjective health status, that can predict vaccination behavior. This finding can guide future epidemic prevention work.

Trends in Excess Winter Mortality (EWM) from 1900/01 to 2019/20-Evidence for a Complex System of Multiple Long-Term Trends

Trends in excess winter mortality (EWM) were investigated from the winter of 1900/01 to 2019/20. During the 1918-1919 Spanish flu epidemic a maximum EWM of 100% was observed in both Denmark and the USA, and 131% in Sweden. During the Spanish flu epidemic in the USA 70% of excess winter deaths were coded to influenza. EWM steadily declined from the Spanish flu peak to a minimum around the 1960s to 1980s. This decline was accompanied by a shift in deaths away from the winter and spring, and the EWM calculation shifted from a maximum around April to June in the early 1900s to around March since the late 1960s. EWM has a good correlation with the number of estimated influenza deaths, but in this context influenza pandemics after the Spanish flu only had an EWM equivalent to that for seasonal influenza. This was confirmed for a large sample of world countries for the three pandemics occurring after 1960. Using data from 1980 onward the effect of influenza vaccination on EWM were examined using a large international dataset. No effect of increasing influenza vaccination could be discerned; however, there are multiple competing forces influencing EWM which will obscure any underlying trend, e.g., increasing age at death, multimorbidity, dementia, polypharmacy, diabetes, and obesity-all of which either interfere with vaccine effectiveness or are risk factors for influenza death. After adjusting the trend in EWM in the USA influenza vaccination can be seen to be masking higher winter deaths among a high morbidity US population. Adjusting for the effect of increasing obesity counteracted some of the observed increase in EWM seen in the USA. Winter deaths are clearly the outcome of a complex system of competing long-term trends.

Low Levels of Influenza Vaccine Uptake among the Diabetic Population in Spain: A Time Trend Study from 2011 to 2020

(1) Background: In this work, we aim to describe influenza vaccine uptake among the diabetic population in Spain to assess the time trend from 2011 to 2020 and identify predictors of vaccine uptake among diabetes patients. (2) Methods: We conducted a descriptive cross-sectional study using the European Health Interview Survey for Spain (2014 and 2020) and the Spanish National Health Surveys (2011 and 2017). The independent variables analysed included socio-demographic characteristics, health-related variables and lifestyle variables. We matched each participant with diabetes with a non-diabetic participant based on age, sex, place of residence and year of survey. (3) Results: The overall coverage among diabetic adults was 52.1% compared to 40.6% for matched participants without diabetes (p < 0.01). The vaccine uptake among adults with diabetes was 52.6% in 2011, 54.38% in 2014 and 53.4% in 2017. The adjusted OR of having been vaccinated in 2020, with respect to 2011, was not significant at 0.87 (95% CI: 0.72–1.06). Factors such as being male, higher age, being affected by respiratory disease or cancer and being physically active were identified as positive predictors for influenza vaccination uptake, while smoking was a negative predictor. (4) Conclusions: The influenza vaccine uptake is below desirable levels among the adult diabetic population in Spain and has not improved from 2011 to 2020. More efforts should be made to increase influenza vaccine uptake in this high-risk group, especially for women, those aged 18–64 years, without other high-risk conditions and smokers.

Influenza vaccination uptake among high-risk target groups and health care workers in Spain and change from 2017 to 2020

OBJECTIVE

Using the 2020 European Health Survey for Spain (EHSS2020), which ran from July 2019 to July 2020, we aimed to describe influenza vaccination uptake among the following target groups; individuals aged ≥65 years, health care workers (HCWs), and persons with high-risk chronic medical conditions. We analyzed changes in uptake since the previous Spanish National Health Interview Survey conducted in 2017 and identified variables associated with vaccine uptake.

METHODS

We performed a cross-sectional study. The primary study variable was the self-reported uptake of influenza vaccine in the previous year. We analyzed sex, age, country of birth, and being an HCW. We identified participants with self-reported respiratory diseases, cardiovascular disease, diabetes, cancer, and cerebrovascular diseases. Multivariable logistic regression was applied to assess changes over time and to identify variables associated with vaccination in target groups.

RESULTS

Uptake was 19.2% in 22,072 participants aged ≥15 years. Uptake was 54.4% for those aged ≥65 years, 41.6% for those with a high-risk medical condition, and 26.53% among HCWs. Uptake by disease was 52.1% for cerebrovascular diseases, 51.3% for cardiovascular diseases, 48.3% for diabetes, 46.1% for cancer, and 36.2% for respiratory diseases. No significant improvement has been observed since 2017 in any target group, except for participants with cancer, whose uptake increased from 33.2% to 46.1%(p < 0.001). The variables that significantly increased the probability of reporting vaccine uptake were female sex, age ≥35 years, being born in Spain, self-reported respiratory or cardiovascular diseases, diabetes, cancer, and being a HCW.

CONCLUSIONS

Influenza vaccination uptake among target groups in Spain is below desirable levels and has not improved significantly since 2017. Older age, female sex, and being born in Spain are positive predictors of vaccine uptake. The COVID-19 pandemic highlights the urgent need to implement new strategies to increase influenza vaccine uptake.