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Journal of Preventive Medicine and Hygiene logoLink to Journal of Preventive Medicine and Hygiene
. 2018 Mar 30;59(1):E14–E19. doi: 10.15167/2421-4248/jpmh2018.59.1.806

“PErCEIVE in Umbria”: evaluation of anti-influenza vaccination’s perception among Umbrian pharmacists

V GIANFREDI 1,*, D NUCCI 2, T SALVATORI 3, F ORLACCHIO 4, M VILLARINI 3, M MORETTI 3; PErCEIVE IN UMBRIA STUDY GROUP
PMCID: PMC6009065  PMID: 29938235

Summary

Vaccines recommendations are available for both healthcare professionals and the general public, but although the vaccination is the most effective method to prevent infectious diseases, the coverage is still behind the recommended rate. In Italy, according to a recent study, the anti-flu vaccination rate among healthcare worker range between 9% to 30%. The aim of our study was to identify knowledge, attitude and behaviours regarding influenza vaccination among community pharmacists in order to increase the coverage rate among healthcare professional. “PErCEIVE (Pharmacist Perception on Influenza Vaccine) in Umbria” was a cross sectional survey among community pharmacists in Umbria conducted between 16th November 2015 to 29th February 2016. The questionnaire was anonymous, on-line self-administered survey. Statistical analysis were performed using STATA/SE 12 software. The response rate was 28.91% (n = 72/249). Among the studied population 76.39% (n = 55) had never performed influenza vaccine during the previous 5 years. Regarding source of information, only 15.28% of the subjects (n = 11) consulted the scientific publications, vs 52.78% (n = 38) who did not show any kind of interest upon the influenza vaccine. Our results show a low attitude to be vaccinated among pharmacists together with a low grade of awareness regarding the important role that pharmacists might play in order to reduce influenza burden, to promote health literacy among their patients and to decrease the risk of patients infection. Pharmacists might be crucial healthcare workers involved in health promotion, in vaccines’ uptake and practices progression.

Keywords: Anti-flu vaccine, Pharmacist, Vaccine, Knowledge, Vaccine attitude, Italy, Cross sectional study

Introduction

Seasonal influenza is an airborne acute viral infection caused by influenza virus [1]. It is highly contagious, and despite the fact that, in the majority of the case, the progress is mild, influenza is responsible for about 3 to 5 million cases of severe illness worldwide [1], and about 5,000-70,000 death in Europe [2]. In particular, in industrialized countries most deaths occur among people age 65 or older [3]. Vaccines recommendations are available for both healthcare professionals and the general public, but although the vaccination is the most effective method to prevent the disease, also in the high risk group, the coverage is still behind the recommended rate. In Italy, the vaccination coverage for the Anti-flu, has fallen from 68.3 per 100 inhabitants during the 2005-2006 vaccination campaign, to 49.9 per 100 inhabitants in 2015-2016 [4]. It is extremely below the minimum established target (75%), set by the National Immunisation Plan. Thanks to the last National Immunisation Plan (2017-2019), the immunisation schedules are recommended for children, adolescents and adults with the regular update (through life approach), and vaccines are included in the basic levels of care (LEA-Livelli Essenziali di Assistenza) [5]. For example, in Italy, the Anti-flu vaccine is recommended for: i) general population with some specified chronic diseases, responsible for severe complication or death; ii) people aged 65 or more; iii) pregnant women who are in the second or third trimester during the beginning of influenza season; iv) professionals who are exposed to animals responsible for infection; v) professionals of public security interest; vi) family members of at high risk people; and last but not least vii) healthcare professionals [5]. Actually, anti-flu vaccines among healthcare workers is strongly encourage because it can prevent potential flu spread to patients, with unstable health status that can rapidly deteriorate, or to other professionals reducing the work absenteeism [6]. Moreover, the healthcare vaccination might serves as a positive model and promoter in influenza vaccination campaigns.

However, despite the recommendation, the vaccine coverage among healthcare workers is still low. The minimum objectives established in the US by Healthy People 2020 is 90% of influenza vaccination coverage among healthcare personnel [7]. In Italy there are two levels of vaccination coverage: 75% established as minimum rate to reach, and 95% as optimal goal [5]. Although the Anti-flu vaccine coverage rate is high heterogeneous among Europeans Countries, it is significantly under the recommended rate, ranging from 10% to 50% [8]. In Italy, according to a recent study conducted by Alicino et al., the anti-flu vaccination rate among healthcare worker was around 30% among physicians, 11% among nurses and 9% among other clinical personnel during the vaccine campaign 2013/14 [9].

This significant low vaccine coverage seems to have serious consequences both individually and collectively. Even more serious is also the low perception of the importance of influenza vaccination among health care workers. Actually, Verger et al. in a recent National Cross-sectional Survey in Frances evidenced that only 54.5% of General Practices were “very confident” with vaccine utility, and only 26.2% of them were “very confident” with vaccine safety [10].

The aim of our study is to understand the determinants related to influenza vaccination uptake among community pharmacists. Pharmacists’ role is not only to dispense drugs, but also they play a key role to provide appropriate consultations to the patients, to address patients’ doubts among medications or vaccines [11]. However, community pharmacies are not always included in the vaccine campaign despite many patients receiving their medications and tips. Identification of knowledge, attitude and behaviours regarding influenza vaccination among community pharmacists is important to regulate the efforts need to increase the coverage rate among healthcare professionals and among general population. Moreover, understanding the reasons of vaccine hesitancy among pharmacists could identify the underlying reasons of vaccination campaigns’ failure, other than to tailor public health strategies designed to increase the healthcare worker vaccinations’ attitude.

Methods

“PErCEIVE (Pharmacist perception on Influenza VaccinE) in Umbria” was a cross sectional survey among community pharmacists in Umbria. The survey was conducted between 16th November 2015 to 29th February 2016 on community pharmacists working in Umbria. The questionnaire was anonymous, on-line self-administered survey. We used the validated questionnaire previously developed by the Medical Residents in Hygiene and Preventive Medicine of the Italian Society of Hygiene, Preventive Medicine and Public Health (S.It.I.-Società Italiana di Igiene, Medicina Preventiva e Sanità Pubblica) [12]. The questionnaire was first designed aimed to investigate the knowledge and attitude of the Italian Medical Residents in Hygiene. We decided to use the same questionnaire because of the similarity of the aims, and due to the correspondence of target groups’ characteristics. Actually, both medical residents and pharmacists were Italian, with not cultural and language differences, moreover both this two professions categories are healthcare workers with a trustworthy relationship with the patients. We just replaced the term “medical residency” with “pharmacist” in the questionnaire. We invited the community pharmacists by sending them an email. The enrolment was voluntary base. Data were collected by an electronic survey, administered on-line (Google Moduli®).

The survey, with lasted no more than 20 minutes, contained 21 questions soliciting information about: demographics characteristics; personal experience of influenza; personal influenza immunization history; reasons for getting vaccination and for recommending it to the patients; potential barrier or reasons to refuse influenza vaccination; their recommendation for patients regarding influenza vaccine; main sources of information on anti-flu vaccine; readiness in vaccination campaign participation. The questionnaire had mainly multiple-choice questions. Box for comments was also provided for some section.

STATISTICAL ANALYSIS

Statistical analysis were performed using STATA/SE 12 software. Chi-square test (for categorical variables) and Student’s t test (for continuous variables) were used for examining statistical significance. Pearson’s correlation coefficient was also used to assess linear dependences between variables. We used the two-tailed version of all tests, and the p-value ≤ 0.05 were considered statistically significant.

ETHICAL APPROVAL

All data collected was recorded on a computerized database in an anonymous way; the file was protected by password, known only to researchers. Written informed consent was obtained from all participants. The “PErCEIVE in Umbria” study received ethical approval from the local ethics committee of the University of Perugia (Comitato Universitario di Bioetica), Reference Number: 2015-013.

Results

CHARACTERISTICS OF THE POPULATION

The population constituted of 249 community pharmacists who received the invitation mail, 72 of which agreed to fill the questionnaire, with a response rate of 28.91%. Out of 72 participants, 40 were female (55.56 %) and 32 were male (44.44 %), with a mean age of 45 ± 12.99 years. The 45.83% of the subjects self-reported a good or discreet knowledge related to influenza vaccine (Tab. I). In the majority of the case, the respondents (n = 46, 63.89%) had contracted the Influenza Like Illness (ILI) at least once during the past 5 years. However, 43.06% (n = 31) did not perceive themselves as a risk subjects, despite the professional exposure. Among the studied population 76.39% (n = 55) had never performed influenza vaccine during the previous 5 years. Among the only 5 pharmacists who performed anti-flu vaccination during the last year, the reason was the awareness to be a risk subject, due to the professional exposure. Inversely, among the subjects who had not performed the vaccination, the main reasons were: they believe that the low risk associated to the disease do not justify the vaccine need and because they did not consider themselves as a relevant element in the chain contagion both for relatives and for patients. Thirdly, they did not consider vaccination because of their age (younger than 65 years). Regarding source of information, 52.78% (n = 38) who did not show any kind of interest upon the influenza vaccine. Among them who search information (n = 23), 65.22% (15/23) of the subjects consulted institutional sources (scientific publication or institutional reports/web pages). Only 19.44% (n = 14) are intended to update their influenza vaccination during the following campaign. Among them in 50% (n = 7) of the cases, the reason was the awareness to be a high-risk subject, the remaining 50% (n = 7) recognize their responsiveness in contagion chain. Regarding the possibility to recommend the vaccination 25.00% (n = 18) of the subject did not invited people to get influenza vaccine, however the percentage decrease to 18.06% (n = 13) considering the intention to promote vaccine during the next campaign.

Tab. I.

Characteristic of studied population. Number and percentage in parenthesis n (%).

Gender Male Female
32/72 (44.44) 40/72 (55.56)
Anti-flu knowledge Good-discrete Not sufficient
33/72 (45.83) 39/72 (54.17)
ILI in the previous 5 years Yes No
46/72 (63.89) 26/72 (63.89)
Get a vaccine last year Yes No
5/72 (6.94) 67/72 (93.06)
Get a vaccine during last 5 years Yes No
17/72 (23.61) 55/72 (76.39)
Perception to be a risk subject Yes No
38/72 (52.78) 34/72 (47.22)
Search information on anti-flu vaccine Yes No
23/72 (31.94) 49/72 (68.06)
Institutional source of information Yes No
15/23 (65.22) 8/23 (34.78)

STATISTICAL ANALYSIS

Had been performed influenza vaccine, during the last 5 years, is statistical significant associated with consider themselves as risk subjects rho di Spearman = 0.33 (p = 0.005). This data was also confirmed considering who performed vaccination during the previous year (rho di Spearman = 0.26 (p = 0.028). At the same time, the awareness to be a risk subjects is statistical associated with the intention to get a vaccine during the following influenza campaign, rho di Spearman = 0.39 (p = 0.0006). The degree of self-reported knowledges, regarding influenza and influenza vaccine, is statistical associated with the source of information. Moreover, the intention to be vaccinated next year is also statistical associated with had performed influenza vaccine during the last 5 years and previous year. Interestingly, who have the intention to be vaccinated next year is also associated with the propensity to recommend vaccine to their patients. Actually, who consult scientific publication or institutional documents/web sites reported a higher degree of knowledges in a statistical significant manner, rho di Spearman = 0.52 (p = 0.012). Furthermore, the high self-reported degree of knowledge is also associated with having received the request for information from general population, rho di Spearman = 0.29 (p = 0.014). Having received the request for information is also associated with the attitude to recommend vaccination, rho di Spearman = 0.39 (p = 0.0006); and to be incline to suggest vaccination for the next campaign, rho di Spearman = 0.25 (p = 0.035). The duration of years of work is statistical associated with the vaccination performed last year, actually who get vaccine the previous year had 33.2 ± 9.73 years (mean ± standard deviation) of work (p = 0.0056) (Tab. II).

Tab. II.

Correlation between consider themselves as risk subjects and vaccine behaviour and between had received request of information regarding anti-flu vaccination and attitude.

Be vaccinated last 5 years Be vaccinated last year Intention to be vaccinated next year
Consider themselves as risk subjects Rho = 0.33
p = 0.005
Rho = 0.26
p = 0.028
Rho = 0.39
p = 0.0006
Had received request of information Degree of influenza knowledges Attitude to recommend vaccination Be incline to suggest vaccination next campaign
Rho = 0.29
p = 0.014
Rho = 0.39
p = 0.0006
Rho = 0.25
p = 0.035

Discussion

In Umbria, during the 2011/14 season, influenza vaccine coverage rate in the population aged between 18 and 64 years with at least 1 risk factor was 19.4%. Among individuals over 65 years, the coverage rate was 62.8 per 100 inhabitants in 2015/16 season, the highest rate among the Italian regions. However, the national coverage rate is still 20-points percentage less compared to the 2005/06 season (2005/06 season was the period with the highest coverage rate since the flu-vaccine introduction in Italy, with a coverage rate of 68.3% among people over 65 years) [13]. Actually, Ministry of health, in collaboration with Istituto Superiore di Sanità, set up several activities in order to ensure influenza control. In particular the development of InfluNet (National sentinel influenza surveillance system), InfluWeb (community based participatory surveillance system) and Flunews (a report combining information from different sources) [14]. However, despite the high efforts, the low influenza vaccine coverage is probably due to a lack of influenza vaccine confidence after the 2009 pandemic [15]. Our survey confirmed that many healthcare workers, specifically pharmacists, do not consider anti-flu vaccination relevant to prevent patients/relatives’ infection.

This is not the first study evaluating the vaccine hesitancy among healthcare professionals; however, the originalities of the present study are the ability to investigate the knowledge and the attitude such as the selection of the studied population. Although the questionnaire was already described in literature, it is for the first time used to assess the behaviour and willingness on influenza vaccine among Italian pharmacists. One of the most important result of “PErCEIVE in Umbria” study is that among pharmacists there is the wrong assumption that pharmacists are not professionals at high risk. Actually 5.56% of the subjects (n = 4) refuse the influenza vaccine, because younger than 65 years. These statements confirm the lack of appropriate knowledge regarding the definition of groups for whom the influenza vaccine is recommended. Previous studies has been demonstrated that people failed to be vaccinated because of the lack of healthcare workers’ recommendations [16]. Although 59%-81% of adults in USA used internet to acquire health information [17, 18], healthcare professionals is the most important information source among patients [19]. Moreover, Johnson and colleagues in a recent survey conducted among general population and GPs found that both groups are more likely to discuss about vaccinations during well-care visits [20]. It seems likely that it might be the same also in pharmacies, during drugs’ dispensation for mild diseases [21].

Moreover, Johnson et al. also indicated that influenza vaccine is less recommended compared to tetanus and pneumococcal [20]. This may indicate the absence of routinely vaccines’ recommendations system that might reduce the missed opportunities to educate patients on immunizations or to update their immunization status. The missed opportunities for flu vaccine is particularly high (confirmed by the low coverage rate reached in every season), and a reminder/recall system for physician can increase GPs awareness on both their patient’s vaccination status and vaccine indications.

Although anti-flu vaccination is universally recognized as an essential element of disease prevention, our results show a low propensity to be vaccinated among pharmacists. The consequences of these results are basically the urgent need to identifying the reasons responsible for low vaccine coverage, even in healthcare workers. Furthermore, it is crucial to identify strategies to increase awareness of the risk for general population, high-risk group such as healthcare workers. The results also show the need to propose new training courses for the future, such as our sample suggested (58.33%, n = 42). However, Johnson previously described the healthcare professionals’ lack of knowledge that we confirm in our sample. In particular only 2.78% (n = 2) of the subjects consulted the institutional web pages, 6.94% (n = 5) referred to ministerial disposal, and 11.11% (n = 8) read scientific articles. Recently, due to the low influenza coverage rate among Italian healthcare professionals, Alicino et al. conducted an educational project. The study was aimed to increase knowledge on influenza burden, risk of patients’ infection from healthcare workers, and the immunization benefits [9]. The intervention was carried on for eight consecutives influenza seasons and was based on several courses, informative materials, and easier access for healthcare workers’ immunization. Although during the whole period, the coverage rate had had a discontinuous trend, however the multicomponent intervention resulted in a significant increase of the influenza coverage rate. Recent evidences show as continuing education, incentives after immunization, easier access to vaccination are key strategies in increasing vaccination coverage among health care workers [22-24].

However, the study has some limitations. Firstly the small sample, although we obtained a good response rate compare to previous study, where the respondents were around 3% among general practitioners [20]. Secondly, the questionnaire was a self-administered, and suffer for the classical limitations of the survey such as social desirability bias and recall bias. However, we conducted an on-line survey that is associated with a lower social desirability bias compared with traditional version [25]. Thirdly, the vaccination history was self-reported and we did not check the pharmacists’ vaccination status, due to the anonymous version of the survey. Nevertheless, there are indisputable advantages in the use of the questionnaire. It is a cheaper and easy tool, such as manageable for both respondents and researchers. Nonetheless, our study has also some strengths such as the use of previously validated questionnaire and the use of web-based questionnaire. Further, to the best of our knowledge it is the first study aimed to understand knowledge, attitude and behaviour on influenza vaccine among Italian pharmacists.

Conclusions

The aim of our study was to verify the knowledge and attitude of pharmacists on influenza vaccination. The results shown a low grade of awareness regarding the important role that pharmacists might play in order to reduce influenza burden, to promote health literacy among their patients, to decrease the risk of patients infection. In our opinion, pharmacists might be crucial healthcare workers involved in health promotion, in vaccines’ uptake and practices progression. However, it is essential to plan a training courses tailored for healthcare workers.

Acknowledgments

The Authors would like to thanks all the pharmacists who voluntary answered to the survey and all the participants in “FarmacistaPiù Professione, innovazione scientifica e politiche della salute tra Stato e mercato” conference, 17-19 March 2017, Milan, for their valuable comments and suggestions. Moreover, we would like to thanks the Umbrian Section of the Italian Society of Hygiene, Preventive Medicine and Public Health that scientifically supported the project, and the entire “PErCEIVE in Umbria” study group. Members of “PErCEIVE in Umbria” were Orlacchio Filiberto president of Agifarm (Associazione Giovani Farmacisti), dr. Emma Menconi for Ordine dei Farmacisti della Provincia di Perugia, dr. Stefamo Mustica for AssoFarm, dr. Augusto Luciani for FederFarma Umbria. No economical funding was assumed to conduct the study.

The authors declare that there is no conflict of interest.

Footnotes

AUTHORS’ CONTRIBUTIONS

TS, VG, OF and the “PErCEIVE in Umbria” study group collaborated with data collection. VG, DN and MV have contributed in study conception and design, data management and statistical analysis. VG in interpretation of results and preparation of the article, and MM for reviewing the last version of the present manuscript.

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