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Research paper

Attitudes, knowledge, and willingness to be vaccinated against seasonal influenza among patients hospitalized with influenza-like-illness: impact of diagnostic testing

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Pages 851-857 | Received 11 Jul 2019, Accepted 24 Sep 2019, Published online: 02 Mar 2020

ABSTRACT

Influenza vaccine adherence remains low. Communication of virological diagnosis to adults hospitalized with influenza-like illness (ILI) could improve their willingness to be subsequently vaccinated. We prospectively assessed, in adults hospitalized with ILI in six French university hospitals, their willingness to be vaccinated against influenza in the subsequent season, both before and after the communication of RT-PCR Influenza laboratory result; we identified then the determinants associated with the willingness to be vaccinated.

A total of 309 patients were included during the 2012–2013 and 2013–2014 influenza seasons; 43.8% reported being vaccinated against influenza for the current season; before communication of influenza laboratory results, 65.1% reported willingness to be vaccinated during the subsequent season. Influenza was virologically confirmed in 103 patients (33.3%). The rate of vaccine willingness increased to 70.4% (p = .02) after communication of influenza laboratory results. Factors independently associated with the willingness to be vaccinated were the perception of influenza vaccine benefits (adjusted relative risk (aRR): 1.06, 95%CI 1.02–1.10), cues to action (aRR: 1.08, 95%CI 1.03–1.12), current season influenza vaccination (aRR: 1.38, 95%CI 1.20–1.59) and communication of a positive influenza laboratory result (aRR: 1.18, 95%CI 1.03–1.34). This last was associated with the willingness to be vaccinated only in the subpopulation of patients not vaccinated (aRR: 1.53, 95%CI 1.19–1.96).

In patients hospitalized with ILI, communication of a positive influenza diagnostic led to a better appreciation of the disease’s severity and increased the willingness to be vaccinated. This approach might be particularly beneficial in patients who do not have a history of influenza vaccination.

Introduction

Seasonal influenza is a major cause of morbidity-mortality worldwide, especially among the elderly and individuals with chronic underlying conditions.Citation1-Citation3 According to the European Center for Disease Prevention and Control, approximately 40,000 Europeans die every year due to influenza.Citation4 Vaccination is the most effective strategy for preventing influenza infection and reducing related complications. In France, seasonal influenza vaccination is recommended annually for people more than 65 years old and for those belonging to populations at risk of poor influenza prognosis. Despite the efforts of primary care professionals and public health agencies, vaccine coverage remained close to 50% in the elderly and between 16% and 29% in the at risk population in 2015/16, far below the expected coverage rate of 75%.Citation5,Citation6 To improve the coverage, it appears necessary to identify the determinants of influenza vaccination. Understanding which factors affect the acceptance of influenza vaccination would improve communication strategies.

Several studies analyzed the reasons for and/or barriers to acceptance of seasonal influenza vaccination in high-risk populationsCitation7-Citation14 and among health-care workersCitation15 and showed that it is largely driven by socio-demographic factors, the perceptions of the disease burden and of the vaccination risk–benefit balance. The Health Belief Model (HBM) is a widely used framework for investigating psychosocial determinants of health behaviorsCitation16 and is recognized as a predictor of influenza vaccination uptake.Citation17 The HBM includes five constructs that influence health behaviors: perception of susceptibility, severity, barriers, benefits, and cues to action. Cues to action are strategies or information sources that promote adoption of a behavior. Individuals’ perception of influenza disease susceptibility and severity is confused by the fact that several pathogens others than influenza are also involved in influenza-like illnesses (ILI), either of viral or bacterial origin, and that specific etiology often goes under-diagnosed. When an influenza laboratory test is performed, the rate of influenza disease is only around 30–50% in general practice in patients with ILI during an influenza epidemic period.Citation18 Thus, a heterogeneous group of diseases which are or are not influenza but share similar symptoms may be perceived by patients as being influenza illnesses that should be effectively prevented by the influenza vaccine.Citation19 However, little is currently known about attitudes and perceptions related to seasonal influenza vaccination among hospitalized patients with ILI with confirmed influenza disease.

We hypothesized that establishing with certainty the influenza diagnosis in hospitalized patients with ILI could modify perceptions of the influenza disease burden and risk–benefit balance of vaccination, modify health behaviors and improve acceptance of vaccination. In this context, we aimed to describe attitudes toward and knowledge of influenza disease and vaccination among hospitalized patients with ILI and to evaluate whether the communication of positive influenza laboratory result modifies patients’ willingness to be vaccinated in the subsequent season.

Methods

Study design and population

We performed an ancillary ‘Social and Behavioral study’ of the FLUVAC study. The FLUVAC study is a multicenter case-control design study conducted in 6 French university hospitals since the 2012–13 season which primarily aimed to evaluate influenza vaccine effectiveness in France among patients hospitalized with ILI.Citation16 Briefly, in the FLUVAC study, non-institutionalized adults patients (aged ≥18), hospitalized for at least 24 h in one of the participating hospitals during the influenza epidemic periods, are systematically invited to participate in the study if they met the inclusion criteria (no contra-indication for influenza vaccination and onset of ILI within 7 days prior to admission to hospital). All eligible patients who agreed to participate are interviewed and their nasopharyngeal swabs collected for centralized analysis. Influenza laboratory confirmation is obtained by RT-PCR on nasopharyngeal swabs.

All participants included in the FLUVAC study during the 2012–2013 and 2013–2014 seasons were then also invited to participate in the ancillary study divided into two successive steps: 1/at inclusion, hereafter referred to as “pre-virological result questionnaire” and 2/at the end of the hospital stay when the result of influenza laboratory test was available, hereafter referred to as “post-virological result questionnaire”.

Ethics

The FLUVAC study (clinicaltrials.gov NCT02027233) was approved by regional ethics committees and all enrolled patients provided written informed consent before inclusion.

Data collection

Participants’ characteristic

Data were collected prospectively from hospital medical records and included demographics, background characteristics and in-hospital clinical evolution. Histories of influenza vaccination during the current season and each of the 2 preceding ones were registered as well as the source of this information.

Pre-virological result questionnaire

At the time of inclusion (i.e before nasopharyngeal swabs performance), a face-to-face 13-items structured questionnaire was administered to the participants. The questionnaire contained 12 questions based upon the HBM which addressed participant’s perception regarding vaccination (1 item), perception of influenza severity (1 item), perception of influenza vaccine benefits (3 items), barriers to the influenza vaccination (4 items) and cues to engage in the health behavior such as level of confidence in advice from a health-care practitioner (3 items). The last question focused on participant’s willingness to be vaccinated against influenza in the subsequent season.

Questionnaire wording and response scales are described in Supplementary material.

Post-virological result questionnaire

When available, the influenza laboratory result was given to the participant using the following sentence “laboratory test which have been performed on your nasopharyngeal swab established that you have had the flu” or “laboratory test which have been performed on your nasopharyngeal swab established that you did not have the flu” according to the situation. To evaluate whether it modified the willingness to be vaccinated, the post-result questionnaire was administered face-to face or by phone or sent by regular post in case of discharge. Taking into account influenza laboratory results, questions about perception of influenza severity and on the willingness to be vaccinated against influenza in the subsequent season were asked again to the participants.

Statistical analysis

Categorical variables were summarized using percentages and continuous variables were expressed using medians with interquartile ranges. Participant’s perception regarding vaccination was re-coded in two categories (strongly against/against/don’t know versus favorable/strongly favorable). Perception of influenza severity was categorized as “not severe” or “mildly severe” versus “moderate” or “highly severe”. Internal scale reliability for each cluster of modified HBM constructs statements (benefits of vaccination, barriers of vaccination and cues to action) was assessed using Cronbach’s coefficient alpha. A value of >0.6 was considered indicative of acceptable internal scale reliability. All construct scores were analyzed as continuous scales. The willingness to be vaccinated against seasonal influenza in the subsequent season was scored dichotomously (Yes versus No/don’t know).

Variables were compared before and after the communication of influenza laboratory test results using a McNemar’s test. Firstly, we evaluated independent variables potentially associated with the willingness to be vaccinated against seasonal influenza (dependent variable) in the pre-virological result questionnaire and adjusted on location of participating hospitals and covariates previously described in the literature (sex, age, comorbidities and season of inclusion). Secondly, we evaluated factors associated with the willingness to be vaccinated against seasonal influenza as declared in the post-virological result questionnaire, adding into the model both the result of the laboratory test and the perception of influenza severity assessed in the post-virological result questionnaire. We estimated relative risks (RR) and 95% confidence intervals (95%CI), using multivariate Poisson regression model with robust variance. The lowest category of each variable was used as the reference group. Multicollinearity across all constructs was assessed. No variance inflation factor was greater than 10, and the mean of values was acceptable at 1.26 (pre-virological result model) and 1.22 (post-virological result model).

Statistical analyses were performed using the SAS software program (Version 9.2). A P-value <.05 was considered to indicate statistical significance.

Results

Participants’ characteristics

A total of 449 participants in 2012–2013 and 407 participants in 2013–2014 were included in the FLUVAC study. Among these 856 participants, 309 (36.1%) participated in the ancillary study: 144 (32.1%) in 2012–2013 and 165 (40.5%) in 2013–2014. Non-respondents were significantly older and had underlying disorders more often than those who responded to the ancillary study but they did not statistically differ from respondents in terms of sex, in-hospital clinical complications, current season vaccination status or influenza laboratory test result.

Main demographic and clinical characteristics of participants are listed in . Participants’ median age was 61 years (interquartile range [IQR] 45–74 years), 51.8% were male. Significant underlying disorders were reported in 236 participants (76.4%) including respiratory diseases in 145 (46.9%), cardiac diseases in 91 (29.5%) and diabetes mellitus in 63 (20.4%) patients. Overall, 135/308 (43.8%) of participants with data available reported being vaccinated against influenza for the current season. According to the French immunization schedule, seasonal influenza vaccination was recommended for 258 (83.5%) of the 309 participants: among them, 127 (49.2%) reported being vaccinated for the current season.

Table 1. Descriptive characteristics of participants who responded to the Social and Behavioral’s questionnaires, FLUVAC study 2012–2014 (N = 309).

In-hospital clinical complications occurred among 109 participants (35.3%) including pneumonia in 60 (19.4%), respiratory failure in 51 (16.5%), renal failure in 21 (6.8%) and cardiac failure in 15 (4.9%) participants.

Pre-virological result questionnaire

Overall, 249/304 (81.9%) participants with data available were favorable or strongly favorable to vaccination. Influenza was perceived as a moderate or highly severe disease for 89.8% of participants (272/303). Perceived benefits, perceived barriers to influenza vaccination and cues to engage in the health behavior are presented in .

Table 2. Attitudes toward influenza disease and vaccination in the Pre-and Post-result questionnaires, FLUVAC study 2012–2014 (N = 309).

A total of 201 participants (65.1%) reported willingness to be vaccinated against seasonal influenza in the subsequent season: 178 (88.6%) among those for whom seasonal vaccination was recommended.

In the fully adjusted model, factors independently associated with the willingness to be vaccinated against seasonal influenza in the pre-virological-result questionnaire are presented in ). Perception of influenza vaccine benefits and cues to action were associated with the willingness to be vaccinated while perception of barriers was significantly associated with decreased willingness to be vaccinated.

Table 3. Factors associated with the willingness to be vaccinated against influenza in the subsequent season in the pre-virological result questionnaire; fully adjusted model, FLUVAC study 2012–2014 (N = 299).

Influenza laboratory test results and post-virological result questionnaire

Among the 309 participants, 103 (33.3%) had laboratory-confirmed influenza. After communication of influenza laboratory test result, influenza was perceived as a moderate or highly severe disease for 92.1% of participants (279/303) () with no significant difference between patients with laboratory-confirmed influenza (94.1%) and those with no laboratory-confirmed influenza (91.1%) (p = .50). Compared to the pre-virological result questionnaire, there were no significant changes in the perception of influenza severity (p = .22).

In the post-virological result questionnaire, 307 of the 309 participants answered to the question related to the willingness to be vaccinated. Of those 307 participants, 216 (70.4%) reported willingness to be vaccinated against seasonal influenza in the subsequent season, a rate which was significantly higher than those of the pre-result questionnaire (p = .02). Among the 258 participants for whom seasonal vaccination was recommended, 189 (73.3%) reported willingness to be vaccinated against seasonal influenza in the subsequent season. The rate of influenza vaccination willingness was 75.3% (76/101) in the subgroup of participants with a positive influenza laboratory result, and it was 68.0% (140/206) in those with a negative result (p = .19).

Between the pre- and the post-virological result questionnaires, 38 patients modified their intention (12.3%); among them, 26 (68.4%) patients who initially did not plan to be vaccinated changed their intention and responded that they planned to be vaccinated in the post-result questionnaire: 15 patients with positive influenza laboratory result and 11 patients with negative influenza laboratory result. On the opposite, 12 patients (31.6%) who initially plan to be vaccinated changed their intention and responded that they planned not to be vaccinated in the post-result questionnaire: 4 patients with positive influenza laboratory result and 8 patients with negative influenza laboratory result.

Among patients with a negative influenza laboratory result (n = 205), 136 (66.3%) reported willingness to be vaccinated against seasonal influenza in the pre-virological result questionnaire and 139 (67.8%) reported willingness to be vaccinated against seasonal influenza in the post-virological result questionnaire (p = .49). Of the 136 patients with willingness to be vaccinated against seasonal influenza in the pre-virological result questionnaire, only 8 patients (5.9%) have modified their intention and planned not to be vaccinated in the post-result questionnaire.

Factors independently associated with the willingness to be vaccinated against seasonal influenza at the end of the hospital stay are presented in ).

Table 4. Factors associated with the post-virological result willingness to be vaccinated against influenza in the subsequent season; fully adjusted model, FLUVAC study 2012–2014 (N = 296).

In the fully adjusted post-virological result model, an association was found between communication of a positive influenza laboratory test and the willingness to receive the influenza vaccine during the subsequent season (adjusted RR: 1.17, 95%CI 1.03–1.33). To better understand this relationship, we examined the model after stratification on current season influenza vaccine status. This showed that the willingness to be vaccinated was increased in case of positive influenza laboratory test only in the subgroup of 173 patients not vaccinated (adjusted RR: 1.53, 95%CI 1.19–1.96), not in the 135 vaccinated patients (adjusted RR: 0.97, 95%CI 0.88–1.07) (Supplementary material Table S2).

Discussion

In this study conducted in France during the 2012–13 and 2013–14 influenza seasons in a population of hospitalized patients suspected of influenza illness, we assessed the willingness to be vaccinated during the subsequent season, and we identified associated factors before and after communication of influenza laboratory result. We showed that establishing influenza disease diagnosis significantly increased the willingness to be vaccinated, and this effect was particularly strong in individuals who reported not to be vaccinated for the current season.

Our study was a national prospective multicenter study, which included participants hospitalized in five university hospitals, and was conducted during two contiguous influenza seasons. Most patient characteristics were consistent with those reported in the literature among hospitalized patients with ILI, including predominance of chronic underlying conditions, a balanced sex ratio and a high proportion of current or past smokers.Citation20 The self-reported vaccine coverage was estimated at 43.8%, close to the French national estimate of about 50% during the corresponding seasons for people older than 65 years old but higher than the influenza vaccine uptake estimate of 16% to 29% in people younger than 65 years with underlying conditions.

To correctly measure the impact of the influenza diagnosis on patients’ willingness to be vaccinated, we sequentially questioned the patients before and after the communication of the influenza laboratory test. Before communication, the vaccination willingness rate for the subsequent season of 65.1% was higher than the self-reported vaccine coverage of 43.8% for the current season. This higher reported rate of vaccination willingness among our hospitalized patient population may be due to an acute perception of influenza severity and an increased awareness of their susceptibility related to their condition as hospitalized patients. This higher rate of influenza vaccination willingness is consistent with the rate of patients favorable to the principle of general vaccination who had a high level of perception of the vaccine’s benefits for themselves and the community, and who perceived seasonal influenza as a severe disease. This is also consistent with previous studies which found that elderly patients who did accept influenza vaccination reported a higher perceived severity and a higher perceived impact of its consequences.Citation21-Citation23

Among the factors associated with the willingness to be vaccinated in both pre- and post-virological result models, and consistent with other studies, the current season influenza vaccination status was the strongest factor associated with the willingness to be vaccinated in both pre- and post-virological result models.Citation24 This reflects the stability of influenza vaccination attitudes and behaviors of individuals and therefore the difficulties in modifying vaccine acceptance in those who are reluctant. Consistent with findings based on self-reported vaccination or intention, we found that perception of benefits, barriers, and cues to action were associated with the willingness to be vaccinated in the subsequent season.Citation7

The post-virological result questionnaire allowed us to analyze whether the communication of influenza laboratory test results (positive or negative) modified patient’s willingness to be vaccinated, according to their current season influenza vaccination status. Identifying a link between influenza and their hospitalization increased patients’ willingness to be vaccinated; this is consistent with previous results showing that a major reason to be vaccinated was the experience of getting very sick from influenza.Citation25-Citation27 This result is not specific to influenza and was also found for instance in the context of pneumococcal vaccine, where a history of pneumonia was an independent factor associated with the willingness to receive a subsequent pneumococcal vaccine.Citation28

Interestingly, by stratifying the population by current season influenza vaccination status, we were able to identify that the willingness to be vaccinated was increased only in the stratum of patients without seasonal influenza vaccination. In these patients, personal experience of having influenza is important in the decision-making process of vaccine acceptance. So far, these patients had not perceived themselves as susceptible to influenza infection. This underlines the importance of a laboratory test establishing the influenza diagnosis not only to prescribe specific antiviral and respiratory measures but also to improve the perception of influenza susceptibility and severity. The generalization of the rapid diagnostic tests may therefore be a relevant strategy to improve the evaluation of the risk–benefit balance of influenza vaccination in patients with ILI.

We acknowledge several limitations to our ancillary study. First, the participation rate of 36.1% was moderate. Second, we were not able to evaluate whether the intention to be subsequently vaccinated led in fact to a larger vaccination rate. Finally, the number of patients who modified their willingness to be vaccinated during the hospital stay was too low so that we could not analyze the factors associated with intent changes. The strengths of this study were enrollment of participants from six study sites to reduce the impact of geographical bias and render our results more generalizable and the use of an original methodology with influenza laboratory confirmation in a population of hospitalized patients suspected of influenza illness.

To conclude, determinants of influenza vaccination willingness are multiple and include the perception of the disease severity, which is influenced by the personal experience of influenza disease. Establishing with certainty the diagnosis of influenza may help clarify the perception of the disease, lead to a better evaluation of influenza disease severity and patients’ susceptibility and might improve adherence to vaccination in individuals formerly reluctant to undergo vaccination.

Author contributions

Conception and design: OL, XD, PVE, ST.

Acquisition of data: OL, XD, PVE, PT, DP, NL, PVA, FG.

Statistical analysis and interpretation of data: ST, PVE, XD.

Drafting of the manuscript: ST, PVE, XD.

Critical revision of the manuscript for important intellectual content: OL, XD, PVE, ST, PT, DP, PVA, NL, FG.

Final Approval of the manuscript: OL, XD, PVE, ST, PT, DP, PVA, NL, FG.

Disclosure of potential conflicts of interest

No potential conflicts of interest were disclosed.

Transparency declaration

XD, PVE, ST, PT, DP, PVA, NL and FG declare no competing interest related to the study. OL reports grants from Sanofi Pasteur MSD during the conduct of the study.

Supplemental material

Supplemental Material

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Acknowledgments

Fluvac Study group

We are very grateful to the following people and institutions who made significant contributions to the running of the FLUVAC study:

The French Clinical Vaccinology Network (Réseau National d’Investigation Clinique en Vaccinologie REIVAC): K. Seddik, N. Lenzi; InVS, France: I. Bonmarin; FLUVAC Study group: Hôpital Cochin, Paris: P. Loulergue, H. Bodilis, M. Servera-Miyalou, I. Sadler, R. Kanaan, N. Coolent, K. Tan Boun, P. Blanche, J. Charpentier, F. Daviaud, N. Mongardon, A. Bretagnol, YE. Claessens, F. Rozenberg, A. Krivine. Hôpital Bichat Claude-Bernard, Paris: E. Hamrouni, Y. Yazdapanah, M. Caseris, H. Ferrand, A. Raynaud-Simon, N. Faucher, A. Neouze, T. Papo, M. Chauchard, D. Gobert, M. Aubier, M. Neuville, N. Houhou. Y Costa de Beauregard. CHU de Clermont-Ferrand: H. Laurichesse, C. Dualé, N. Andant, D. Roux, C. Henquell, M. Chambon. Hôpital Saint-Eloi, Montpellier: C. Merle, F. Galtier, V. Foulongne, C. Duflos, M. Khalil, N. Bourgeois, A. Caboco. CHU Saint-Etienne: F. Lucht, P. Lafond, E. Diconne, Y. Page, B. Tardy, S. Bayle-Bleuez, C. Cazorla, A. Fresard, F. Suy, C. Guglielminotti, M. Detoc, S. Pillet, B. Pozzetto; CHU Dupuytren, Limoges: D. Postil, E. Couve-Deacon, D. Fruit, C. Fenerol, C. Vallejo, S. Alain, S. Rogez; CHU Pontchaillou, Rennes: P. Tattevin, S. Jouneau, F. Lainé, E. Thébault, C. Lepape, V. Thibault, C. Pronier, G. Lagathu. CHU Lyon: Laetitia Henaff, Selila Amour, Bruno Lina, M Valette.

Supplemental data

Supplemental data for this article can be accessed online at online at http://dx.doi.org/10.1080/21645515.2019.1674598.

Additional information

Funding

The current work received no funding. However, the study sites received funding from Sanofi Pasteur and Sanofi Pasteur MSD for the FLUVAC study. Vaccine producers had no role in the study design, data analysis, decision to publish or preparation of the manuscript.

References

  • Hak E, Wei F, Nordin J, Mullooly J, Poblete S, Nichol KL. Development and validation of a clinical prediction rule for hospitalization due to pneumonia or influenza or death during influenza epidemics among community-dwelling elderly persons. J Infect Dis. 2004;189:450–58. doi:10.1086/381165.
  • Zhou H, Thompson WW, Viboud CG, Ringholz CM, Cheng P-Y, Steiner C, Abedi GR, Anderson LJ, Brammer L, Shay DK. Hospitalizations associated with influenza and respiratory syncytial virus in the United States, 1993–2008. Clin Infect Dis Off Publ Infect Dis Soc Am. 2012;54:1427–36. doi:10.1093/cid/cis211.
  • Thompson WW, Shay DK, Weintraub E, Brammer L, Bridges CB, Cox NJ, Fukuda K. Influenza-associated hospitalizations in the United States. JAMA. 2004;292:1333–40. doi:10.1001/jama.292.11.1333.
  • European Centre for Disease Prevention and Control. [accessed 2017 Oct 4] http://ecdc.europa.eu/en/healthtopics/seasonal_influenza/key_messages/Pages/key_messages.aspx.
  • Santé publique France. [accessed 2017 Oct 4] http://invs.santepubliquefrance.fr/Dossiers-thematiques/Maladies-infectieuses/Maladies-a-prevention-vaccinale/Couverture-vaccinale/Donnees/Grippe
  • Verger P, Fressard L, Cortaredona S, et al. Trends in seasonal influenza vaccine coverage of target groups in France, 2006/07 to 2015/16: impact of recommendations and 2009 influenza A(H1N1) pandemic. Euro Surveill Bull Eur Sur Mal Transm Eur Commun Dis Bull. 2018;23. doi:10.2807/1560-7917.ES.2018.23.48.1700801.
  • Malosh R, Ohmit SE, Petrie JG, Thompson MG, Aiello AE, Monto AS. Factors associated with influenza vaccine receipt in community dwelling adults and their children. Vaccine. 2014;32:1841–47. doi:10.1016/j.vaccine.2014.01.075.
  • Masnick M, Leekha S. Frequency and predictors of seasonal influenza vaccination and reasons for refusal among patients at a large tertiary referral hospital. Infect Control Hosp Epidemiol. 2015;36:841–43. doi:10.1017/ice.2015.56.
  • Ditsungnoen D, Greenbaum A, Praphasiri P, Dawood FS, Thompson MG, Yoocharoen P, Lindblade KA, Olsen SJ, Muangchana C. Knowledge, attitudes and beliefs related to seasonal influenza vaccine among pregnant women in Thailand. Vaccine. 2016;34:2141–46. doi:10.1016/j.vaccine.2016.01.056.
  • Bödeker B, Betsch C, Wichmann O. Skewed risk perceptions in pregnant women: the case of influenza vaccination. BMC Public Health. 2015;16:1308. doi:10.1186/s12889-015-2621-5.
  • Nagata JM, Hernández-Ramos I, Kurup AS, Albrecht D, Vivas-Torrealba C, Franco-Paredes C. Social determinants of health and seasonal influenza vaccination in adults ≥65 years: a systematic review of qualitative and quantitative data. BMC Public Health. 2013;13:388. doi:10.1186/1471-2458-13-388.
  • Bödeker B, Remschmidt C, Schmich P, Wichmann O. Why are older adults and individuals with underlying chronic diseases in Germany not vaccinated against flu? A population-based study. BMC Public Health. 2015;15:618. doi:10.1186/s12889-015-1970-4.
  • Loubet P, Kernéis S, Groh M, Loulergue P, Blanche P, Verger P, Launay O. Attitude, knowledge and factors associated with influenza and pneumococcal vaccine uptake in a large cohort of patients with secondary immune deficiency. Vaccine. 2015;33:3703–08. doi:10.1016/j.vaccine.2015.06.012.
  • Miller PDE, Forster AS, de Silva TI, Leonard H, Anthias C, Mayhew M, Klammer M, Paskar S, Hurst E, Peggs K, et al. Sociodemographic and psychological determinants of influenza vaccine intention among recipients of autologous and allogeneic haematopoietic stem cell transplant: a cross-sectional survey of UK transplant recipients using a modified health belief model. BMJ Open. 2018;8:e021222. doi:10.1136/bmjopen-2017-021222.
  • Maltezou HC, Tsakris A. Vaccination of health‐care workers against influenza: our obligation to protect patients. Influenza Other Respir Viruses. 2011;5:382–88. doi:10.1111/j.1750-2659.2011.00240.x.
  • Janz NK, Becker MH. The health belief model: a decade later. Health Educ Q. 1984;11:1–47. doi:10.1177/109019818401100101.
  • Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol Off J Div Health Psychol Am Psychol Assoc. 2007;26:136–45. doi:10.1037/0278-6133.26.2.136.
  • Mosnier A, Caini S, Daviaud I, Bensoussan J-L, Stoll-Keller F, Bui TT, Lina B, Van der Werf S, Cohen JM. Ten influenza seasons in France: distribution and timing of influenza A and B circulation, 2003–2013. BMC Infect Dis. 2015;15:357. doi:10.1186/s12879-015-1056-z.
  • Obasi CN, Barrett B, Brown R, Vrtis R, Barlow S, Muller D, Gern J. Detection of viral and bacterial pathogens in acute respiratory infections. J Infect. 2014;68:125–30. doi:10.1016/j.jinf.2013.10.013.
  • Castilla J, Godoy P, Domínguez A, Martínez-Baz I, Astray J, Martín V, Delgado-Rodríguez M, Baricot M, Soldevila N, Mayoral JM, et al. Influenza vaccine effectiveness in preventing outpatient, inpatient, and severe cases of laboratory-confirmed influenza. Clin Infect Dis Off Publ Infect Dis Soc Am. 2013;57:167–75. doi:10.1093/cid/cit194.
  • Opstelten W, van Essen GA, Hak E. Determinants of non-compliance with herpes zoster vaccination in the community-dwelling elderly. Vaccine. 2009;27:192–96. doi:10.1016/j.vaccine.2008.10.047.
  • Opstelten W, Hak E, Verheij TJ, van Essen GA. Introducing a pneumococcal vaccine to an existing influenza immunization program: vaccination rates and predictors of noncompliance. Am J Med. 2001;111:474–79. doi:10.1016/s0002-9343(01)00880-4.
  • Brunton C, Weir R, Jennings L; National Influenza and Pneumococcal Immunisation Attitudes Study (NIPIAS) Group. Knowledge and attitudes about influenza vaccination amongst general practitioners, practice nurses, and people aged 65 and over. N Z Med J. 2004;118:U1434.
  • Domínguez À, Soldevila N, Toledo D, Godoy P, Castilla J, Force L, Morales M, Mayoral JM, Egurrola M, Tamames S, et al. Factors associated with influenza vaccination of hospitalized elderly patients in Spain. PLoS One. 2016;11:e0147931. doi:10.1371/journal.pone.0147931.
  • Daniels NA, Juarbe T, Rangel-Lugo M, Moreno-John G, Pérez-Stable EJ. Focus group interviews on racial and ethnic attitudes regarding adult vaccinations. J Natl Med Assoc. 2004;96:1455–61.
  • Lewis-Parmar H, McCann R. Achieving national influenza vaccine targets–an investigation of the factors affecting influenza vaccine uptake in older people and people with diabetes. Commun Dis Public Health. 2002;5:119–26.
  • Mangtani P, Breeze E, Stirling S, Hanciles S, Kovats S, Fletcher A. Cross-sectional survey of older peoples’ views related to influenza vaccine uptake. BMC Public Health. 2006;6:249. doi:10.1186/1471-2458-6-249.
  • Nowalk MP, Zimmerman RK, Shen S, Jewell IK, Raymund M. Barriers to pneumococcal and influenza vaccination in older community-dwelling adults (2000–2001). J Am Geriatr Soc. 2004;52:25–30. doi:10.1111/j.1532-5415.2004.52006.x.

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