Trends in influenza vaccination uptake in Switzerland: Swiss Health Survey 2007 and 2012

DOI: https://doi.org/10.4414/smw.2019.14705

Kathrin Zürchera, Marcel Zwahlena, Claudia Berlina, Matthias Eggera, Lukas Fennerab

aInstitute of Social and Preventive Medicine, University of Bern, Switzerland

bGesundheitsamt, Kanton Solothurn, Switzerland

Summary

AIMS

We studied time trends in seasonal influenza vaccination and assessed associations with socioeconomic and health-related determinants in Switzerland (overall and people aged ≥65 years).

METHODS

We used data from the Swiss Health Surveys of 2007 and 2012. We calculated the proportion of the population (overall and those ≥65 years old) reporting influenza vaccination in the last 12 months, and performed multivariate logistic regression analyses, presented as adjusted odds ratios (aORs).

RESULTS

The average overall frequency of people reporting having been vaccinated for influenza in the previous 12 months was 15.2% (95% confidence interval [CI] 14.7–15.7); frequency decreased from 16.4% in 2007 to 14.1% in 2012 (p <0.001). In elderly people (≥65 years) the frequency declined from 47.8 to 38.5% (p <0.001). The decline was more pronounced in both the 15 to 19 age group (aOR 0.5, 95% CI 0.3–1.0) and those 65 to 75 years old (aOR 0.6, 95% CI 0.5–0.7), and in those with less education (aOR 0.6, 95% CI 0.4–0.7). Pregnant women had the lowest frequency for influenza vaccination (2.3%, 95% CI 0.6–7.9), but the frequency increased between 2007 and 2012 (aOR 4.5, 95% CI 1.0–20.5). Influenza vaccination in the last 12 months was positively associated with the ≥65 age group, living in French-speaking and urban areas, history of smoking, bad self-reported health status, health insurance for private/semiprivate hospital stays and working in healthcare professions.

CONCLUSIONS

Influenza vaccination coverage was low overall and declined over time. To increase influenza vaccine uptake and reach the European target of 75% in people aged ≥65 years, more efforts should be put into novel intervention approaches.

Introduction

Within the last 150 years, six major influenza pandemics, in 1889, 1900, 1918, 1957, 1968 and 2009, have killed millions of people [1]. But even in years when there is no pandemic, seasonal influenza epidemics represent an important public health burden across the globe [2]. Yearly seasonal influenza epidemics cause 3 to 5 million cases of severe illness and kill from 250,000 to 500,000 persons [3], particularly infants, the elderly and the chronically ill. Influenza also raises mortality among those with certain bacterial diseases such as tuberculosis [4, 5]. A recent European report ranked influenza highest in the burden of infectious diseases, measured in disability-adjusted life years (DALYs), after tuberculosis, human immunodeficiency virus / acquired immunodeficiency syndrome (HIV/AIDS), and invasive pneumococcal diseases [6]. European recommendations set a target of a vaccination uptake of 75% among the elderly people [7]. The Netherlands achieved the highest uptake with >80% in elderly people, and the UK almost reached the target with an uptake of 74% in 2009/2010 [7].

In Switzerland, influenza is responsible for roughly 110,000 to 280,000 medical consultations and 1000 to 5000 hospitalisations every year [8]. The annual number of influenza-attributable deaths based on modelling of the cause of mortality 1969–1999 is between 600 and 700, which is about twice the official count of influenza deaths [9]. Estimates of mortality increase in all age and population groups, but particularly in the elderly. The Federal Office of Public Health (FOPH) in Switzerland has had vaccine recommendations in place since 2007, which target mainly elderly people, but also those with chronic illnesses (including children older than 6 months), premature infants, pregnant women and those who are resident in long-term healthcare facilities or are in regular contact with vulnerable populations [10]. For these people at risk, vaccination costs are covered by Swiss mandatory health insurance. Vaccinations are mainly delivered by general practitioners and, to a small degree, at pharmacies offering this service in about half of the cantons [11]. However, there is little information on trends in influenza vaccine uptake at a national level to improve the vaccine uptake and guide future vaccination programs. We studied trends and associations of sociodemographic characteristics and health-related factors with influenza vaccination practices in Switzerland in 2007 and 2012 (overall and ≥65 years) using data from the nationwide representative health surveys.

Material and methods

Survey sample

The Swiss Health Interview Survey (SHIS) is a cross-sectional survey conducted every 5 years since 1992 by the Swiss Federal Statistical Office (SFSO). A multistage probability sample is randomly drawn from all residents in Switzerland not living in institutions, as previously reported [12–14]. The health survey collects data through computer assisted telephone interviews and written self-administered questionnaires. The interviews are conducted in the three official languages (German, French and Italian) between January and December of the year of survey.

We analysed the two most recently available data sets, 2007 and 2012. Since questions on influenza vaccination were included in the written questionnaire, we used only survey data from the written forms. We included 32,750 respondents who responded to a written questionnaire, 14,393 in 2007 and 18,357 in 2012.

Data collection and definitions

There were two main questions about influenza vaccination:

The questionnaire also included questions on nationality, profession and sociodemographic and socioeconomic information. We also collected health-related information on chronic diseases including diabetes, cancer, and lung, cerebrovascular, kidney and cardiovascular disease. The level of respondents’ health insurance bearing upon hospital stays and different levels of comfort, choice of physicians and use of any alternative therapy was recorded as well.

Pregnancy was recorded as current pregnancy among women 15 to 49 years old. Alternative therapy, in the past 12 months, included acupuncture, traditional Chinese medicine, homeopathy, and osteopathy. Current chronic conditions included the lung diseases bronchial asthma, chronic bronchitis and emphysema. Diabetes was defined by the use of any diabetic drug, cardiovascular disease by the use of any heart medication, and all other chronic diseases were recorded as self-reported. Employment in a healthcare profession was recorded in the event of any profession in the healthcare system (in the 2007 survey, veterinary professions were also included in this category).

Statistical analysis

For each of the two survey years, we calculated the proportions of the population (overall and ≥65 years) that reported having been vaccinated within the last 12 months; the first proportion included the data of the second. We used univariate and multivariate logistic regression models to estimate associations between vaccination status and patient/health-related factors, presented as unadjusted and adjusted odds ratios (aORs). We also performed multivariate logistic regression models that included an interaction term with the year of survey and the variable of interest. In all analyses, we used the SFSO’s survey weights and reported all proportions and ORs with the corresponding 95% confidence intervals (CIs) derived from robust standard error calculations. We considered p-values <0.05 as statistically significant. All analyses were performed in Stata (version 15.1, Corporation, College Station, Texas, USA).

We visualised geographical distributions of the population that reported vaccination for influenza at the cantonal level using ArcGIS version 10.5 (Redlands, CA, USA).

Ethics statement

Data were anonymised before analysis. We obtained permission to analyse and publish the data through a contract with the SFSO (Ref. 624.110-1).

Results

Trends of influenza vaccinations status over time

The overall proportion of persons reporting having been vaccinated at some time was 33.6% (95% CI 32.9–34.3). The average frequency of persons reporting vaccination for influenza within the past 12 months was 15.2% (95% CI 14.7–15.7), having dropped from 16.4% (95% CI 15.6–17.2) in 2007 to 14.1% (95% CI 13.5–14.8) in 2012 (table 1, p <0.001). In those ≥65 years old, the principal target population as recommended by the FOPH, the average frequency of influenza vaccination was 42.6% (95% CI 41.1–44.0), having dropped from 47.8% (95% CI 45.7–49.9) in 2007 to 38.5% (95% CI 36.6–40.5) in 2012 (p <0.001).

Table 1 Percent of people reporting having been vaccinated for influenza in the last 12 months in Switzerland, 2007 and 2012, overall and among people ≥65 years old. Results are presented as % (95% confidence interval).

Characteristic 2007 2012
All ≥65 years old All ≥65 years old
Total 16.37 (15.61–17.16) 47.79 (45.66–49.93) 14.09 (13.45–14.75) 38.53 (36.60–40.49)
Age group, years 15–19 7.75 (5.32–11.16) 5.23 (3.91–6.97)
20–29 5.45 (3.98–7.42) 4.94 (3.92–6.20)
30–39 7.05 (5.80–8.56) 4.55 (3.70–5.59)
40–49 8.80 (7.43–10.39) 6.67 (5.72–7.77)
50–64 14.94 (13.51–16.49) 12.65 (11.46–13.94)
65–75 41.64 (38.90–44.44) 41.64 (38.90–44.44) 29.31 (27.28–31.43) 29.31 (27.28–31.43)
>75 55.24 (51.94–58.50) 55.24 (51.94–58.50) 48.99 (45.73–52.26) 48.99 (45.73–52.26)
Sex Male 15.74 (14.67–16.86) 48.69 (45.39–52.00) 13.52 (12.67–14.43) 38.47 (35.84–41.17)
Female 16.97 (15.90–18.09) 47.11 (44.31–49.92) 14.63 (13.71–15.60) 38.57 (35.84–41.38)
Pregnancy (current)* Yes 2.25 (0.62–7.90) 5.11 (4.40–5.94)
No 7.88 (6.65–9.30) 8.95 (4.91–15.75)
BMI group Underweight 12.01 (8.72–16.32) 53.33 (39.66–66.52) 14.30 (11.07–18.29) 40.59 (29.03–53.30)
Normal 13.65 (12.72–14.64) 44.70 (41.63–47.81) 12.24 (11.44–13.08) 39.43 (36.55–42.38)
Overweight 20.62 (19.12–22.21) 50.42 (47.02–53.82) 15.99 (14.78–17.29) 37.26 (34.15–40.49)
Obese 22.98 (20.05–26.20) 52.81 (46.13–59.39) 18.21 (16.16–20.44) 38.55 (33.55–43.79)
Language region German-speaking 15.45 (14.49–16.47) 45.93 (43.16–48.72) 13.53 (12.70–14.41) 37.75 (35.23–40.33)
French-speaking 18.31 (17.01–19.68) 53.65 (50.11–57.16) 15.94 (14.87–17.07) 41.31 (38.13–44.56)
Italian-speaking 16.89 (14.12–20.08) 42.74 (35.42–50.40) 11.82 (9.92–14.02) 34.89 (28.31–42.10)
Setting Urban 17.30 (16.39–18.25) 48.70 (46.23–51.17) 15.07 (14.32–15.85) 39.80 (37.68–41.97)
Rural 13.82 (12.49–15.26) 45.00 (40.76–49.32) 11.38 (10.20–12.67) 34.41 (30.08–39.01)
Citizenship Swiss 17.13 (16.35–17.94) 48.06 (45.92–50.21) 15.20 (14.48–15.94) 38.65 (36.63–40.71)
Non-Swiss 13.46 (11.43–15.78) 45.44 (36.42–54.78) 10.37 (9.08–11.82) 37.46 (31.22–44.15)
Education level Primary 24.53 (21.78–27.51) 44.79 (40.49–49.17) 14.74 (13.11–16.53) 33.77 (29.48–38.35)
Apprenticeship 15.14 (14.19–16.14) 47.41 (44.50–50.32) 14.53 (13.56–15.56) 39.19 (36.50–41.94)
Secondary 11.44 (8.58–15.12) 45.04 (32.06–58.73) 13.03 (11.08–15.25) 45.74 (38.41–53.25)
Tertiary 16.31 (14.90–17.81) 52.77 (47.99–57.51) 13.37 (12.33–14.50) 39.51 (35.66–43.50)
Smoking Never smoked 16.55 (15.46–17.70) 47.31 (44.40–50.24) 13.94 (13.02–14.90) 37.22 (34.52–39.99)
Former smoker 22.50 (20.79–24.31) 50.32 (46.56–54.08) 20.21 (18.71–21.80) 41.55 (38.31–44.86)
Current smoker 10.89 (9.71–12.19) 43.20 (37.63–48.93) 9.58 (8.63–10.63) 36.34 (31.30–41.71)
Self-reported health status Very good 10.97 (9.50–12.63) 34.51 (29.18–40.25) 8.50 (7.73–9.34) 28.43 (24.83–32.32)
Good 14.76 (13.88–15.67) 45.57 (42.89–48.29) 14.22 (13.26–15.24) 37.56 (34.77–40.43)
Moderate 33.13 (3.10–36.31) 58.16 (53.28–62.90) 25.87 (23.69–28.19) 46.50 (42.59–50.46)
Bad 38.55 (31.45–46.17) 65.80 (54.60–75.48) 33.85 (28.61–39.51) 54.21 (44.11–63.97)
Very bad 44.33 (27.56–62.49) 73.69 (37.76–92.82) 29.13 (17.36–44.58) 41.73 (21.00–65.86)
Hospital stay insurance Basic 14.04 (13.15–14.99) 44.87 (42.07–47.70) 12.30 (11.53–13.12) 35.40 (32.83–38.05)
Semiprivate 21.39 (19.58–23.33) 51.23 (47.02–55.43) 19.74 (18.17–21.41) 41.40 (37.84–45.05)
Private 28.34 (25.47–31.40) 55.06 (49.58–60.43) 27.15 (24.34–30.15) 50.55 (45.37–55.72)
Other 23.45 (15.11–34.52) 62.63 (35.66–83.52) 9.65 (6.27–14.56) 25.94 (12.61–45–95)
Use of any alternative medicine therapy Yes 16.70 (15.35–18.14) 45.57 (41.89–49.29) 11.30 (10.26–12–42) 32.10 (28.52–35.89)
No 16.23 (15.32–17.18) 48.90 (46.28–51.52) 15.03 (14.27–15.84) 40.31 (38.07–42.58)
Chronic diseases Diabetes 41.51 (36.70–46.48) 59.95 (53.36–66.20) 37.58 (33.48–41.87) 49.58 (43.97–55.20)
Lung disease 38.19 (31.46–45.41) 63.78 (53.04–73.29) 33.04 (26.24–40.64) 48.08 (37.15–59.21)
Cerebrovascular disease 47.68 (37.90–57.64) 61.30 (48.91–72.38) 39.96 (32.02–48.46) 49.85 (39.77–59.94)
Cardiovascular disease 54.48 (50.41–58.48) 64.16 (59.64–68.44) 42.50 (38.96–46.12) 51.97 (47.51–56.39)
Kidney disease 22.40 (18.34–27.05) 52.57 (42.50–62.44) 23.44 (19.74–27.60) 43.40 (36.14–50.96)
Cancer 30.47 (25.84–35.53) 51.47 (43.40–59.47) 29.92 (26.11–34.03) 46.74 (40.60–52.99)
Healthcare profession§ 17.56 (15.47–19.86) 15.15 (13.16–17.37)

95% CI = 95% confidence interval; BMI = body mass index * Current pregnancy in women 15 to 49 years † Use of any alternative therapy in the past 12 months (including acupuncture, traditional Chinese medicine, homeopathy, osteopathy) ‡ Current chronic diseases vs. no disease (reference); lung diseases: bronchial asthma, chronic bronchitis and emphysema; diabetes: use of any diabetic drug; cardiovascular disease: use of any heart medication; all other diseases: self-reported § Any profession in the healthcare system (in the 2007 survey, the veterinary professions were also included in this category) vs any other profession (reference).

The decline in self-reported influenza vaccination was more pronounced in both the 15–19 year age group (aOR 0.5, 95% CI 0.3–1.0) and those 65 to 75 years old (aOR 0.6, 95% CI 0.5–0.7, p-value from test for interaction 0.01, see supplementary table S1 in appendix 1). The decline was also more pronounced in those with less education (aOR 0.6, 95% CI 0.4-0.7, p-value from test for interaction 0.03), except in the ≥65 age group. An increase in vaccination rate was seen in pregnant women between 2007 and 2012 (aOR 4.5, 95% CI 1.0–20.5, p = 0.02). The temporal changes were not associated with age, language region, urban/rural setting, citizenship, use of any alternative medicine therapy, or type of hospital stay insurance (p >0.05, table S1).

Influenza vaccination status in different population groups

In both 2007 and 2012, the proportion of self-reported influenza vaccination was highest in the age group ≥65 years, and also higher in people living in urban settings, in the French-speaking region, and among Swiss citizens, persons with a only primary education, former smokers and persons with health insurance beyond mandatory basic insurance that covered semiprivate or private hospital stays (table 1). Persons with chronic diseases were also vaccinated for influenza more frequently (range 20–50%). A lower proportion of self-reported vaccination was observed in the younger age groups of 15–50 years (range 5–10%), the German-speaking area of Switzerland, current smokers and persons who reported their health status as very good. Pregnant women had the lowest frequency of influenza vaccination (2.3%, 95% CI 0.6–7.9, table 1), but the frequency increased between 2007 and 2012 (table S1). The regional differences in the vaccination status in the last 12 months in the overall population and the ≥65 age group are shown in figures 1A and 1B, respectively.

Figure 1 Geographical distribution of people reporting having been vaccinated for influenza in the last 12 months in Switzerland, 2007 and 2012. Panel A, overall; panel B, people aged ≥65 years. na = not applicable (no. of respondents <100).

Individual and health system factors associated with the influenza vaccination status

As shown in table 2, having been vaccinated in the last 12 months was positively associated with age ≥65 years, living in French-speaking and urban areas, history of smoking, bad self-reported health status, private/semiprivate hospital stay insurance, and following a healthcare profession. Influenza vaccination was more frequent in participants with another underlying condition. Use of any alternative medicine therapy was negatively associated with reporting influenza vaccination (aOR 0.8, 95% CI 0.7–0.9). Influenza vaccination was also less likely in 2012 (aOR 0.7, 95% CI 0.7–0.8) than in 2007, and even less likely among persons ≥65 years old (aOR 0.6, 95% CI 0.5–0.7). We found no association with sex, body mass index, non-Swiss citizenship or educational level (table 2). Similar findings were observed when analysing only participants ≥65 years old. Supplementary table S2 in appendix 1 shows unadjusted and adjusted ORs of the associations between self-reported vaccination for influenza in the last 12 months and sociodemographic characteristics and health-related factors.

Table 2 Associations of having been vaccinated for influenza in the last 12 months with sociodemographic characteristics and health-related factors (as compared to no vaccination) in Switzerland, 2007 and 2012, overall and among people ≥65 years old.

Characteristic All ≥65 years old
Adjusted OR
(95% CI)
p-value Adjusted OR
(95% CI)
p-value
Year of survey 2007 1 <0.001 1 <0.001
2012 0.74 (0.66–0.84) 0.64 (0.54–0.74)
Age group, years 15–19 1.14 (0.60–2.14) <0.001 <0.001
20–29 1
30–39 1.25 (0.81–1.93)
40–49 1.56 (1.05–2.34)
50–64 2.81 (1.92–4.10)
65–75 8.24 (5.61–12.12) 1
>75 15.67 (10.50–23.39) 1.92 (1.64–2.25)
Sex Male 1 0.32 1 0.34
Female 0.94 (0.82–1.07) 1.09 (0.91–1.30)
BMI group Underweight 1 0.99 1 0.98
Normal 1.02 (0.71–1.47) 0.98 (0.55–1.74)
Overweight 1.01 (0.70–1.47) 1.00 (0.56–1.79)
Obese 1.05 (0.71–1.54) 1.03 (0.57–1.88)
Language region German-speaking 1 0.003 1 0.13
French-speaking 1.22 (1.09–1.38) 1.16 (0.99–1.37)
Italian-speaking 1.00 (0.80–1.24) 0.93 (0.69–1.25)
Setting Urban 1.20 (1.04–1.38) 0.011 1.18 (0.97–1.45) 0.099
Rural 1 1
Citizenship Swiss 1 0.49 1 0.73
Non-Swiss 1.07 (0.88–1.30) 0.95 (0.70–1.28)
Education level Primary 1 0.09 1 0.055
Apprenticeship 1.06 (0.88–1.27) 1.28 (1.02–1.59)
Secondary 1.19 (0.89–1.59) 1.37 (0.95–1.96)
Tertiary 1.24 (1.01–1.53) 1.44 (1.10–1.88)
Smoking Never smoked 1 0.045 1 0.11
Former smoker 1.15 (1.01–1.32) 1.21 (1.01–1.44)
Current smoker 0.97 (0.83–1.13) 1.06 (0.84–1.34)
Self-reported health status Very good 1 <0.001 1 <0.001
Good 1.19 (1.00–1.41) 1.36 (1.07–1.72)
Moderate 1.54 (1.27–1.88) 1.71 (1.30–2.24)
Bad 2.44 (1.81–3.30) 2.18 (1.41–3.36)
Very bad 2.18 (1.12–4.21) 2.02 (0.85–4.80)
Hospital stay insurance Basic 1 <0.001 1 <0.001
Semiprivate 1.40 (1.22–1.60)
Private 1.81 (1.53–2.14) 1.39 (1.15–1.67)
Other 1.30 (0.77–2.18) 1.89 (1.51–2.37)
Use of any alternative medicine therapy* Yes 0.79 (0.69–0.89) <0.001 0.70 (0.58–0.83) <0.001
No 1
Chronic diseases Diabetes 1.62 (1.34–1.96) <0.001 1.46 (1.16–1.82) 0.001
Lung disease 2.43 (1.69–3.49) <0.001 1.88 (1.18–3.00) 0.008
Cerebrovascular disease 1.17 (0.83–1.64) 0.38 1.06 (0.73–1.54) 0.75
Cardiovascular disease 1.49 (1.28–1.74) <0.001 1.43 (1.20–1.71) <0.001
Kidney disease 1.01 (0.80–1.28) 0.91 0.90 (0.66–1.22) 0.48
Cancer 1.26 (1.41–2.09) 0.030 1.11 (0.86–1.43) 0.44
Healthcare profession 1.71 (1.41–2.09) <0.001

95% CI = 95% confidence interval; BMI = body mass index; OR = odds ratio Model adjusted for all variables included in the table. Unadjusted ORs are shown in supplementary table S2 in appendix 1. * Use of any alternative therapy in the past 12 months (including acupuncture, traditional Chinese medicine, homeopathy, osteopathy) † Current chronic disease versus no chronic disease (reference); lung diseases: bronchial asthma, chronic bronchitis and emphysema vs no lung disease (reference); diabetes: use of any diabetic drug vs no diabetes (reference); cardiovascular disease: use of any heart medication vs no cardiovascular disease (reference); all other diseases: self-reported disease vs no disease (reference) ‡ Any profession in the health care system (in the 2007 survey, the veterinary professions were also included in this category) vs. any other profession (reference)

Discussion

Self-reported seasonal influenza vaccination declined overall and in elderly persons from 2007 to 2012. The decline over time was associated with age and education level. In Switzerland and other countries, influenza vaccination is recommended (by the FOPH in Switzerland) for elderly people, those who have chronic illnesses (including children older than 6 months), premature infants, pregnant women and those who are resident in long-term healthcare facilities or are in regular contact with vulnerable populations. Overall influenza vaccine coverage in Switzerland in the years 2007 and 2012 averaged ~15%; it was ~40% among those ≥65 years, ~50% among chronically ill people, and ~15% among healthcare staff. Although not directly comparable, a study on institutional influenza vaccination coverage in 1983 showed similar coverage of 40% for all patients, which was slightly higher, at 47%, for persons ≥65 years, and 16% among healthcare staff [15]. A study in 2000 from the Canton of Geneva reported vaccination coverage of 59% in the geriatric population after several campaign activities between 1991 and 2000 [16]. Influenza vaccine uptake in Switzerland is therefore still markedly lower than the European target of 75% among elderly people [7].

Of further concern to public health are vaccination coverage that, overall, is declining, and vaccine hesitancy. In recent years, the European Union has seen large outbreaks of vaccine-preventable diseases such as measles, rubella and influenza, and a roadmap has identified steps to improve the situation [17]. Thus have European countries committed to intensified efforts to increase vaccination coverage for influenza and other infectious diseases [18]. In contrast to seasonal influenza vaccination, the coverage in measles vaccination among young adults in Switzerland seems to have increased to almost 90%, possibly owing to nationwide campaigns and a national measles strategy [19]. This could serve as a model for influenza vaccination coverage as well.

The relationship between vaccination uptake, knowledge, attitudes and awareness is complex [20]. The main reasons for young people not being vaccinated against influenza are underestimation of or little knowledge about disease severity, vaccine side effects and access to and the cost of vaccines [21–23]. A study in France showed that even among persons who were aware of serious and fatal influenza complications, 60% were unaware of having an indication for influenza vaccination [21]. Vaccine hesitancy may also arise from the seasonal vaccine’s varying efficiency. During the last influenza season of 2017/2018, the recommended vaccine composition only partially matched the circulating strains, which resulted in moderate vaccine efficiency [24, 25]. However, a recent mathematical model of influenza transmission and vaccination has demonstrated that the health burden associated with influenza is more sensitive to changes in vaccination coverage than to changes in vaccine efficacy [25]. This underlines the importance of high influenza vaccination coverage in the population.

We observed that both persons in the 15–50 age group and pregnant women were less likely to have been vaccinated against influenza than persons ≥65 years old. Similarly, younger persons in the US were less likely to have received influenza vaccination than elderly persons in 2011/2012 [26]. Although elderly people remain the main target population, children should also be recognised in vaccine recommendations. Community studies in the US have shown that children are very vulnerable to seasonal influenza [27, 28]. Influenza transmission rates are high in schools and children easily transmit the virus to household members and into their community [29, 30]. Several school-based influenza vaccination studies have been conducted in the US and showed relative reductions in influenza-like illness in both children and adults, high school days lost and in adults work days lost [29]. In our study, only 2.3% of pregnant women were vaccinated, but the frequency increased substantially between 2007 and 2012. Influenza vaccination for healthy pregnant women in Switzerland has been recommended only since 2010. The main concern about influenza vaccination among pregnant women is effects on fetal development [31–35]. However, recent studies have found no evidence for an association between maternal influenza vaccination during pregnancy and adverse outcomes [31, 35].

Influenza vaccination has been shown to prevent death, morbidity, hospital admissions and other negative health-related outcomes, particularly among chronically ill people [36–41], but also in children [33] and pregnant women [42]. Apart from influenza vaccination, everyday preventive actions are also suitable measures to limit the spread of the disease [8]. These include trying to avoid close contact with sick people, covering one’s nose and mouth while coughing or sneezing, throwing away tissues after use and regularly washing hands.

Our study is limited by the fact that the vaccine status was self-reported and that persons younger than 15 years were not included in the survey. A strength of the study is that the SHIS is a nationwide, representative survey that is repeated every 5 years using the same methodology. In addition, analyses were weighted and adjusted for a wide range of important cofactors.

The last, unusually long influenza season of 2017/2018 [33, 43], with possibly higher mortality than previous years, is a further reminder of the need to strengthen efforts to increase influenza vaccination uptake, particularly in the younger and elderly populations. We therefore need new approaches to increase vaccination coverage, which could, for example, include the use social media, chats and web-based games [44, 45]. Recommendations by healthcare professionals, such as client reminder/recall and standing orders, also should be considered to improve influenza vaccination coverage [46]. In conclusion, our findings should be considered in future adaptation of influenza vaccination policies and intervention programmes using novel approaches such as social media. Further studies should test these approaches in pragmatic clinical trials and programme evaluation studies.

Appendix 1Supplementary tables

The appendix is available in a separate file at https://smw.ch/en/article/doi/smw.2019.14705/.

Acknowledgements

We thank the Swiss Federal Statistical Office for providing the data of the Swiss Health Survey 2007 and 2012, and the people who participated in the surveys.

Notes

Disclosure statement

No financial support and no other potential conflict of interest relevant to this article was reported.

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Notes

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