Summary
The concept of Vaccine Hesitancy has begun to appear in the scientific landscape, referring to the reluctance of a growing proportion of people to accept the vaccination offer. A variety of factors were identified as being associated with vaccine hesitancy but there was no universal algorithm and currently there aren’t any established metrics to assess either the presence or impact of vaccine hesitancy. The aim of this study was to systematically review the published questionnaires evaluating parental vaccine hesitancy, to highlight the differences among these surveys and offer a general overview on this matter. This study offers a deeper perspective on the available questionnaires, helping future researches to identify the most suitable one according to their own aim and study setting.
Keywords: Vaccine, Hesitancy, Parents, Questionnaire, Review
Introduction
Vaccines have long been considered as one of the most important public health achievements of the past century and they have largely contributed to the decline in morbidity and mortality related to various infectious diseases [1]. Due to the effectiveness of vaccination programs, many people nowadays have limited or no experience with vaccine-preventable diseases (VPDs), thus parents increasingly assume that the risks associated with VPDs are minimal compared to potential health and safety risks of vaccinations themselves [2, 3]. The concept of Vaccine Hesitancy has subsequently begun to appear in the scientific landscape, referring to the reluctance of a growing proportion of people to accept the vaccination offer [4]. In fact, urban centres with large clusters of vaccine-hesitant individuals are particularly vulnerable to VPD outbreaks among exposed, unimmunized children, as observed with the measles outbreaks in the USA, Canada, and Europe [5-7]. 2014-2015 the Disneyland measles outbreak was a stark reminder of the direct influence of vaccine hesitancy and refusal [8].
The World Health Organization (WHO) defines vaccine hesitancy as the ‘‘delay in acceptance or refusal of vaccines despite availability of vaccination services. Vaccine hesitancy is complex and context specific, varying across time, place and for different vaccines. This phenomenon is influenced by factors such as complacency, convenience and confidence” [9]. The “3Cs” Model, that highlights these three categories, was first proposed in 2011 by the WHO EURO Vaccine Communications Working Group. In the “3 Cs” model, confidence is defined as trust in the effectiveness and safety of vaccines, and in the system that delivers them. This includes the reliability and competence of health services and health professionals and the motivations of policy-makers who decide on the needed vaccines. Vaccination complacency exists where the perceived risks of vaccine-preventable diseases are low and vaccination is not deemed a necessary preventive action. Vaccination convenience is a significant factor when physical availability, affordability, willingness-to-pay, geographical accessibility, ability to understand (language and health literacy) and appeal of immunization services affect the vaccination uptake [10]. There is a wide variety of determinants of vaccine hesitancy. In 2015, the WHO EURO Vaccine Communications Working Group developed the Vaccine Hesitancy Determinants Matrix which categorized determinants into the following groups: contextual, individual and group influences, and vaccine and vaccination-specific issues [11]. Contextual influences include historic, social, cultural, environmental, economic, political and institutional factors which might influence vaccine hesitant populations. The most common is conspiracy theories, which include a fear that vaccines are introduced to serve the economic and/or political interests of pharmaceutical companies [12, 13].
Individual and group influences include personal perceptions or beliefs about vaccines and influences from the social environment such as the belief that vaccines are unsafe. Parents are more afraid of the adverse events related to vaccines, which are thought to be more frequent and more serious than they really are, than of the complications that could arise from infectious diseases [14]. Moreover, some individuals do not perceive a medical need for certain vaccines. Vaccine Hesitancy is a global, complex and constantly changing phenomenon, currently representing one of the most significant problems of public health: in 2019 the World Health Organization (WHO) listed vaccine hesitancy in its top ten threats to global health [15]. To understand the impact that the various determinants have on vaccine hesitancy and what factors can influence vaccination decisions, numerous studies have been conducted over the years [16, 17].
Despite the growing number of articles on vaccine hesitancy published in recent years, there are some discrepancies among publications in terms of what exactly falls under the umbrella of “vaccine hesitancy”, a term that was only introduced by the SAGE Working Group in 2015. Therefore, in order to obtain as much information as possible on this issue, all studies investigating the determinants of vaccine hesitancy, without specifically using the term “vaccine hesitancy”, were also included in this review. A variety of factors were identified as being associated with vaccine hesitancy but there was no universal algorithm and currently there aren’t any established metrics to assess either the presence or impact of vaccine hesitancy. Study methods used to measure “vaccine hesitancy” are too heterogeneous and this makes it difficult to make inferences about the influence of specific factors on vaccine-hesitant behaviour. The aim of this study was to systematically review the published questionnaires evaluating parental vaccine hesitancy, to highlight the differences among these surveys and offer a general overview on this matter. Administration channel, sample size, type of vaccine being investigated, and the type of questions used in the questionnaire are some of the variables that can be considered, when designing a study to investigate vaccine hesitancy. The characteristics of each study, as well as the variables investigated, have been analyzed in order to enable future researchers to choose the most suitable tool for evaluating and measuring vaccine hesitancy over time and in different settings, according to their own needs and goals.
Methods
SEARCH STRATEGY
This is a systematic review conducted in accordance with the PRISMA Guidelines [18]. Several databases were consulted, including PubMed/Medline, Web of Science and The Cochrane Library. The latter was used to identify existing systematic reviews with a similar objective, in order to further screen the lists of references of potentially related articles that might have not been retrieved in the other databases. The systematic search was performed with no time filter, from inception to December 14th, 2017; however, a language limit was adopted, indeed only English and Italian articles were included in our review. The predefined search strategy that was used to identify potential relevant articles included four main aspects: parents or caregivers, vaccine hesitancy/acceptance, immunization and survey. Mesh and text words were combined with Boolean operators AND and OR. The full search strategy is: ((((((questionnair*[Title/Abstract] OR survey[Title/Abstract] OR “Surveys and Questionnaires”[Mesh])) AND (vaccin*[Title/Abstract] OR immuniz*[Title/Abstract] OR immunis*[Title/Abstract] OR shot*[Title/Abstract] OR jab*[Title/Abstract] OR “Vaccines”[Mesh] OR “Immunization”[Mesh] OR “Vaccination”[Mesh])) AND (hesitanc*[Title/Abstract] OR doubt*[Title/Abstract] OR concern*[Title/Abstract] OR criticis*[Title/Abstract] OR rumo*r[Title/Abstract] OR sceptic*[Title/Abstract] OR fear*[Title/Abstract] OR refus*[Title/Abstract] OR reject*[Title/Abstract] OR delay[Title/Abstract] OR accept*[Title/Abstract] OR consen*[Title/Abstract] OR intent*[Title/Abstract] OR confidence[Title/Abstract] OR adherence[Title/Abstract] OR complian*[Title/Abstract] OR uptake[Title/Abstract] OR engagement[Title/Abstract] OR *trust[Title/Abstract] OR a*titude[Title/Abstract] OR perception*[Title/Abstract] OR opinion*[Title/Abstract] OR belief*[Title/Abstract] OR behavi*r[Title/Abstract] OR choice*[Title/Abstract] OR practic*[Title/Abstract] OR barrier*[Title/Abstract] OR facilitator*[Title/Abstract] OR “Health Knowledge, Attitudes, Practice”[Mesh] OR “Vaccination Refusal”[Mesh] OR “Trust”[Mesh] OR “Behavior”[Mesh] OR “Patient Acceptance of Health Care”[Mesh]))) AND (parent*[Title/Abstract] OR caregiver*[Title/Abstract] OR guardian*[Title/Abstract] OR tutor*[Title/Abstract] OR mother*[Title/Abstract] OR father*[Title/Abstract] OR “legally acceptable representative”[Title/Abstract] OR “Parents”[Mesh])). In order to include all publications related to the topic, the list of references was manually screened for all relevant papers. Endnote was used as a software to manage all the retrieved references.
INCLUSION CRITERIA
Studies that fulfilled the inclusion criteria were considered in this review. Papers aimed at investigating parents/caregivers vaccine hesitancy through a survey/questionnaire were considered eligible, regardless of the attitudes and behaviours of the interviewed subjects. As a matter of fact, vaccine hesitancy is complex and driven by a wide variety of factors, as explained by the 3C model developed by the SAGE Working Group. Therefore, knowing the determinants of Vaccine Hesitancy in specific subgroups of parents (such as those who do not trust or have lost confidence in vaccinations) is extremely important in order to develop the right strategies to address it. In addition, including studies selecting the study population according to a negative/positive attitude/behaviour towards vaccination might be helpful for future researchers interested in studying Vaccine Hesitancy in a specific subgroup of parents. Because vaccine hesitancy is a complex phenomenon, strictly depending on several aspects that are country-specific, and because the introduction of vaccine hesitancy as a term in the scientific community is relatively new, we also included studies evaluating public trust/distrust, perceptions, concerns, confidence, attitudes, beliefs about vaccines and vaccination programs. Moreover, we included all types of available vaccines. Furthermore, we only assessed original articles, while other types of publications were not included in the analysis. Lastly, due to the aim of the research, only observational studies were considered: along with cross-sectional studies, we included cohort studies and case-control studies. The last two types of studies are particularly helpful in order to obtain as much information as possible and to have a broader overview of this phenomenon: as a matter of fact, they allowed us to include studies where questionnaires or surveys were used to investigate vaccine hesitancy among parents.
EXCLUSION CRITERIA
Studies were excluded from this review when they investigated vaccine hesitancy in target populations different from parents/caregivers/guardians, for instance physicians, educators, or directly the adolescents. Papers written in languages other than English and Italian were excluded, as well as not original articles (reviews, letters to editor, conference papers, editorials). Additionally, surveys aimed at assessing aspects different than vaccine hesitancy were not included. Lastly, articles were excluded if the vaccines examined were not for humans or were not commercially available yet (such as the HIV vaccine), or if the publications were on vaccine development.
DATA EXTRACTION
Eight couples of reviewers (VG and CA, MN and GV, SP and FD, OG and IB, EA and SDN, OES and LK, OG and AC, FDG and LG), independently performed the screening of titles and abstracts, followed by data extraction of the included articles. Disagreement was solved through a discussion between the authors, if disagreement persisted a third author was consulted (PC). Full-texts were downloaded and consulted only for the included articles. The extracted data were reported in a predefined, ad hoc spreadsheet elaborated in Excel. For each included article, the following items were evaluated: first author’s name and year of publication, when and where the study was conducted, study design and study aim, population characteristics and sample size, types of survey and administration, if the questionnaire was previously validated and if it was attached to the manuscript, number and type of questions, type of vaccine analysed, immunization behaviour and beliefs about vaccines.
DATA CODING
The included articles were coded by study period, country, language, study type and study aim, population characteristics, way of administration, number of items and items categories in the questionnaire, types of vaccine, immunization behaviour, beliefs about vaccine safety/efficacy. Regarding the latter, beliefs were coded as follows: i) no assessment of perceived safety/efficacy vaccines; ii) the assessment was performed and most of the respondents believe vaccinations to be safe/effective; iii) the assessment was performed and most of the respondents do not believe vaccinations to be safe/effective; iv) the assessment was performed but data were not available); v) the assessment was performed, but only qualitative and descriptive data were available (numerical data not available). As for the immunization behaviour, it was classified as follows: i) “acceptance”, if the whole population consisted of people receiving the vaccination; ii) “refusal”, if the whole population consisted of parents refusing the vaccination; iii) “hesitancy/scepticism/doubt”, if the population consisted of both parents accepting the vaccine and parents refusing it; iv) if no information was available, it was considered as missing data.
Results
We identified 5,139 records by running the pre-defined search strategies on the three selected databases (Medline, Web of Science, The Cochrane Library), and 8 additional records were retrieved from the manual searching of reference lists and citation chains of included papers. After removing duplicates, 3,500 papers were assessed for eligibility by title and abstract, and 2,481 papers were removed. After full text screening selection, 334 studies were included in the descriptive analysis and synthesis [3, 16, 19-350]. Figure 1 shows the selection flow. The main results of our systematic review are shown in Table I.
Tab. I.
Author, year | Study period | Country | Study design | Administration channel | Sample size | Type of vaccine | Type of questions | Validation | Immunization behaviour |
---|---|---|---|---|---|---|---|---|---|
Adler A, 2007 | 2007 | Israel | Cross-sectional | Paper-based | 1,474 | Varicella | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Adorador A, 2011 | 2011 | USA | Cross-sectional | Paper-based | 108 | Dtp | Closed | Not | Hesitancy/scepticism/doubt |
Aharony N, 2017 | 2017 | Israel | Cross-sectional | On-line | 200 | Child vaccines | Likert scale | With statistical methods | Refusal |
Akis S, 2011 | 2011 | Turkey | Cross-sectional | Paper-based | 611 | Flu | Closed | Not | Acceptance |
Akmatov MK, 2009 | 2009 | Kyrgyzstan | Cross-sectional | Paper-based | 934 | Child vaccines | Closed | Not | Acceptance |
Alberts CJ, 2017 | 2017 | Netherlands | Cross-sectional | 1,309 | Hpv | Closed | Statistical methods not reported | Acceptance | |
Alfredsson R, 2004 | 2004 | Sweden | Cross-sectional | Paper-based | 300 | Mmr | Closed | With statistical methods | Acceptance |
Allen JD, 2010 | 2010 | USA | Cross-sectional | On-line | 476 | Hpv | Closed | Not | Acceptance |
Allison MA, 2010 | 2010 | USA | Cross-sectional | Paper-based | 259 | Flu | Likert scale | With statistical methods | Hesitancy/scepticism/doubt |
Allred NJ, 2005 | 2005 | USA | Cross-sectional | 7,810 | Dt | Closed | With statistical methods | Acceptance | |
Alshammari TM, 2018 | 2018 | Saudi Arabia | Cross-sectional | Paper-based | 467 | Child vaccines | Closed | Statistical methods not reported | Acceptance |
Ambe JP, 2001 | 2001 | Nigeria | Cross-sectional | Paper-based | 500 | Measles | Closed | Statistical methods not reported | Refusal |
Aharon AA, 2017 | 2017 | Israel | Cross-sectional | Paper-based | 731 | Hbv/dtp/mmr | Likert scale | Not | Refusal |
Arrossi S, 2012 | 2012 | Argentina | Cross-sectional | Paper-based | 1,200 | Hpv | Closed | With statistical methods | Acceptance |
Azizi FSM, 2017 | 2017 | Malesya | Cross-sectional | Paper-based | 545 | Child vaccines | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Baglioni A, 2014 | 2014 | Italy | Cross-sectional | Paper-based | 648 | Hpv | Closed | With statistical methods | Acceptance |
Bakhache P, 2013 | 2013 | Multinational | Cross-sectional | On-line | 2,460 | Menb | Closed | Statistical methods not reported | Acceptance |
Baldwin AS, 2013 | 2008-2010 | USA | Cross-sectional | Paper-based | 256 | Hpv | Likert scale | With statistical methods | Acceptance |
Bardenheier B, 2003 | 2000 | USA | Cross-sectional | Paper-based | 648 | Hav | Closed | Not | Acceptance |
Bardenheier B, 2004 | 2001 | USA | Case-control | Paper-based | 3,586 | Mmr/dtp/hbv | Likert scale | Not | Acceptance |
Bardenheier BH, 2004 | 1997-1998 | USA | Cross-sectional | Paper-based | 3,552 | Dtp/hib/hbv/polio | Closed | Not | Hesitancy/scepticism/doubt |
Barnack JL, 2010 | 2006 | USA | Cross-sectional | 200 | Hpv | Likert scale | Not | Acceptance | |
Barnack-Tavlaris JL, 2016 | 2009 | USA | Cross-sectional | Telephone | 4,666 | Hpv | Closed | Not | Acceptance |
Bazzano A, 2012 | 2007 | USA | Cross-sectional | Telephone | 197 | Child vaccines | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Bedford H, 2007 | 2004 | UK | Cross-sectional | Paper-based | 859 | New vaccines | Likert scale | Not | Acceptance |
Beel ER, 2013 | 2010-2012 | USA | Cross-sectional | Paper-based | 511 | Child vaccines | Closed | With statistical methods | Acceptance |
Ben Natan M, 2011 | 2008 | Israel | Cross-sectional | Paper-based | 103 | Hpv | Likert scale | With statistical methods | Hesitancy/scepticism/doubt |
Ben Natan M, 2016 | 2015 | Israel | Cross-sectional | Paper-based | 200 | Flu | Likert scale | With statistical methods | Acceptance |
Ben Natan M, 2017 | 2016 | Israel | Cross-sectional | Paper-based | 200 | Hpv | Likert scale | With statistical methods | Acceptance |
Berenson AB, 2014 | 2011-2013 | USA | Cross-sectional | Paper-based | 1,256 | Hpv | Closed | With statistical methods | Acceptance |
Bettinger JA, 2016 | 2011 | Canada | Cross-sectional | 34 | Flu | Closed | Not | Acceptance | |
Bham SQ, 2016 | 2015 | Pakistan | Cross-sectional | Paper-based | 210 | Polio | Closed | Not | Acceptance |
Bianco A, 2014 | 2014 | Italy | Cross-sectional | Paper-based | 566 | Hpv | Likert scale | Not | Acceptance |
Bigham M, 2006 | 2002-2003 | Canada | Cross-sectional | Telephone | 487 | Hbv | Likert scale | With statistical methods | Hesitancy/scepticism/doubt |
Alder S, 2015 | 2012 | Argentina | Cross-sectional | Paper-based | 180 | Hpv | Closed | With statistical methods | Acceptance |
Basu P, 2011 | 2008 | India | Cross-sectional | Paper-based | 522 | Hpv | Closed | Statistical methods not reported | Acceptance |
Blair A, 1997 | 1997 | Australia | Cross-sectional | Paper-based | 245 | Child vaccines | Open field | Not | Acceptance |
Blyth CC, 2014 | 2008–2012 | Australia | Cross-sectional | Paper-based | 2,576 | Dtp/hib/hbv | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Bodson J, 2016 | 2013 | USA | Cross-sectional | Paper-based | 119 | Hpv | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Bonanni P, 2001 | 2001 | Italy | Cross-sectional | Paper-based | 300 | Child vaccines | Closed | Not | Acceptance |
Borena W, 2016 | 2015 | Austria | Cross-sectional | 439 | Hpv | Closed | Not | Hesitancy/scepticism/doubt | |
Borras E, 2009 | 2003-2004 | Spain | Cross-sectional | Telephone | 630 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt |
Brabin L, 2006 | 2005 | UK | Cross-sectional | 317 | Hpv | Mixed | With statistical methods | Hesitancy/scepticism/doubt | |
Brambleby P, 1989 | 1988 | UK | Cross-sectional | 977 | Mmr | Mixed | Statistical methods not reported | Refusal | |
Breitkopf CR, 2009 | 2007 | Vietnam | Cross-sectional | Paper-based | 139 | Hpv | Closed | Not | Hesitancy/scepticism/doubt |
Brieger D, 2017 | N.A. | Australia | Cross-sectional | Paper-based | 201 | Mmr | Mixed | Not | Hesitancy/scepticism/doubt |
Brown B, 2017 | 2015-2016 | USA | Cross-sectional | Paper-based | 200 | Hpv | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Brown KF, 2011 | 2009 | UK | Cross-sectional | 535 | Mmr | Mixed | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Brunson EK, 2013 | 2010 | USA | Cross-sectional | On-line | 196 | Child vaccines | Mixed | With statistical methods | Hesitancy/scepticism/doubt |
Bults M, 2011 | 2009-2010 | Netherlands | Cross-sectional | Face to face/mail | 1900 | Flu | Open field | With statistical methods | Refusal |
Burdette AM, 2014 | 2014 | USA | Cross-sectional | Telephone | 20,000 | Hpv | Closed | With statistical methods | Refusal |
Busse JW, 2011 | 2010 | Canada | Cross-sectional | Paper-based | 95 | Child vaccines | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Buyuktiryaki B, 2014 | 2010 | Turkey | Cross-sectional | Paper-based | 625 | Flu | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt |
Cacciatore MA, 2016 | 2014-2015 | USA | Cross-sectional | On-line | 2,000 | Measles | Mixed | Not | Hesitancy/scepticism/doubt |
Campbell H, 2017 | 2015 | UK | Cross-sectional | Face to face | 1,792 | Child vaccines | Mixed | Not | Hesitancy/scepticism/doubt |
Carlos RC, 2011 | N.A. | USA | Cross-sectional | 937 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt | |
Casiday R, 2006 | 2004 | UK | Cross-sectional | 996 | Mmr | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Cassell JA, 2006 | 2004 | Uk | Cross-sectional | 452 | Mmr | Mixed | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Cataldi JR, 2016 | 2015 | USA | Cross-sectional | On-line | 343 | Mmr | Mixed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Chan JY, 2014 | 2012 | Hong Kong | Cross-sectional | Paper-based | 1,285 | Varicella | Mixed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Chaparro RM, 2016 | 2012 | Argentina | Cross-sectional | Paper-based | 77 | Hpv | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt |
Chau JPC, 2017 | 2013 | Hong Kong | Cross-sectional | Paper-based | 623 | Flu | Likert scale | With statistical methods | Hesitancy/scepticism/doubt |
Chen CH, 2015 | 2011 | Taiwan | Cross-sectional | 1,300 | Flu | Likert scale | With statistical methods | Hesitancy/scepticism/doubt | |
Chen MF, 2011 | 2009 | Taiwan | Cross-sectional | Paper-based | 2,778 | Flu | Mixed | With statistical methods | Hesitancy/scepticism/doubt |
Cheruvu VK, 2017 | 2017 | USA | Cross-sectional | Telephone | 21,467 | Hpv | Closed | Not | Refusal |
Chung YM, 2017 | 2012-2014 | USA | Cross-sectional | On-line | 5,121 | Child vaccines | Mixed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Cipriano JJ, 2018 | 2016 | USA | Cross-sectional | On-line | 75 | Hpv | Mixed | Not | Acceptance |
Clark SJ, 2016 | 2012 | USA | Cross-sectional | On-line | 1,799 | Hpv | Mixed | With statistical methods | Acceptance |
Clark SJ, 2016 | 2012 | USA | Cross-sectional | On-line | 1,799 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Clark SJ, 2016 | 2013 | USA | Cross-sectional | On-line | 1,799 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Cockcroft A, 2014 | 2011 | Nigeria | Cross-sectional | Paper-based | 5,257 | Measles | Closed | Not | Acceptance |
Colon-Lopez V, 2016 | 2013 | Puerto Rico | Cross-sectional | Paper-based | 200 | Hpv | Mixed | Not | Acceptance |
Colon-Lopez V, 2015 | 2013 | Puerto Rico | Cross-sectional | Paper-based | 200 | Hpv | Mixed | Not | Acceptance |
Coniglio MA,2011 | 2008 | Italy | Cross-sectional | Paper-based | 1,500 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt |
Constantine NA, 2007 | 2006 | USA | Cross-sectional | Telephone | 802 | Hpv | Mixed | Not | Acceptance |
Cooper Robbins SC, 2011 | 2007 | Australia | Cross-sectional | Paper-based | 169 | Flu | Mixed | Not | Acceptance |
Costa-Pinto JC, 2017 | 2014-2015 | Australia | Cross-sectional | On-line | 612 | Child vaccines | Mixed | Not | Acceptance |
Coyne-Beasley T, 2013 | 2008 | USA | Cross-sectional | Telephone | 1281 | Mcv | Mixed | Not | Acceptance |
Cuninghame CJ, 1994 | 1991-1992 | UK | Cross-sectional | Face to face/telephone/mail | 93 | Child vaccines | Mixed | Not | Acceptance |
Cunningham-Erves J, 2016 | 2012-2013 | USA | Cross-sectional | Paper-based | 242 | Hpv | Likert scale | Not | Acceptance |
Dahlstrom LA, 2010 | 2007 | Sweden | Cross-sectional | Web /paper based | 13,946 | Hpv | N.A. | With statistical methods | Acceptance |
Daley MF, 2007 | 2003 | USA | Cross-sectional | Telephone | 472 | Flu | Mixed | Not | Acceptance |
Danchin MH, 2017 | 2015-2016 | Australia | Cross-sectional | Questionnaire (ipad), follow-up phone surveys | 975 | Child vaccines | Mixed | Not | Acceptance |
Danis K, 2010 | 2004–2005 | Greece | Cross-sectional | Paper-based | 3,434 | Child vaccines | Mixed | Not | Acceptance |
Dannetun E, 2007 | 2005 | Sweden | Cross-sectional | Paper-based and online | 1,229 | Hbv | Mixed | Statistical methods not reported | Acceptance |
Dannetun E, 2005 | 2003 | Sweden | Cross-sectional | Paper-based | 173 | Mmr | Mixed | Not | Refusal |
Danova J, 2015 | 2013-2014 | Repubblica Ceca | Cross-sectional | Paper-based | 480 | Child vaccines | Closed | Not | Refusal |
Darden PM, 2013 | 2008–2010 | USA | Cross-sectional | Telephone | Dtp/mcv/hpv | N.A. | Not | Refusal | |
Davis K, 2004 | 2003 | USA | Cross-sectional | Paper-based | 575 | Hpv | Mixed | Not | Acceptance |
Dawar M, 2002 | 1999 | Canada | Cross-sectional | Telephone | 191 | Hbv/dtp/hib | Mixed | Not | Acceptance |
de Courval FP, 2003 | 2000 | Canada | Cross-sectional | Telephone | 663 | Varicella | Mixed | Not | Refusal |
de Visser R, 2008 | 2008 | UK | Cross-sectional | Paper-based | 353 | Hpv | Likert scale | Not | Acceptance |
Dempsey AF, 2011 | N.A. | USA | Cross-sectional | 830 | Hpv | Mixed | Not | Acceptance | |
Dempsey AF, 2015 | 2012-2013 | USA | Cross-sectional | On-line | 54 | Hpv | Mixed | Not | Acceptance |
Dempsey AF, 2006 | 2009 | USA | Cross-sectional | On-line | 1,178 | Hpv | Likert scale | Not | Acceptance |
DiAnna Kinder F, 2017 | N.A. | USA | Cross-sectional | Paper-based | 72 | Hpv | Mixed | Not | Refusal |
Dinh TA, 2007 | 2005 | Vietnam | Cross-sectional | Paper-based | 181 | Hpv | Likert scale | Statistical methods not reported | Acceptance |
Dorell C, 2014 | 2010 | USA | Cross-sectional | Telephone | 4103 | Hpv | Closed | Not | Hesitancy/scepticism/doubt |
Dorell C, 2013 | 2010-2011 | USA | Cross-sectional | Telephone | 8,652 | Hpv/dtp/mcv | Closed | Not | Hesitancy/scepticism/doubt |
Dorell C, 2011 | 2009-2010 | USA | Cross-sectional | Telephone | 20,066 | Hpv/mcv/dtp | Closed | Not | Hesitancy/scepticism/doubt |
Dube E, 2012 | 2008-2009 | Canada | Cohort | Paper-based | 413 | Rotavirus | Mixed | Not | Acceptance |
Dube E, 2015 | 2014 | Canada | Cross-sectional | Telephone | 703 | Menb | Likert scale | Statistical methods not reported | Acceptance |
Dube E, 2017 | 2015 | Canada | Cross-sectional | On-line | 20,13 | Child vaccines | Mixed | Not | Acceptance |
Dube E, 2016 | 2014 | Canada | Cross-sectional | Telephone | 589 | Child vaccines | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt |
Ezat SW, 2013 | 2012 | Malesya | Cross-sectional | Not reported | 155 | Hpv | N.A. | Not | Acceptance |
Ezeanochie MC, 2014 | 2009 | Nigeria | Cross-sectional | Paper-based | 201 | Hpv | Closed | Statistical methods not reported | Acceptance |
Ezenwa BN, 2013 | 2012 | Nigeria | Cross-sectional | Paper-based | 290 | Hpv | N.A. | Not | Acceptance |
Farias CC, 2016 | 2015 | Brazil | Cross-sectional | Paper-based | 797 | Hpv | Mixed | Not | Acceptance |
Flood EM, 2010 | 2009 | USA | Cross-sectional | On-line | 500 | Flu | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt |
Flynn M, 2004 | 1999-2000 | UK | Cohort | Paper-based | 511 | Mmr | Likert scale | Not | Hesitancy/scepticism/doubt |
Freed GL, 2010 | 2009 | USA | Cross-sectional | On-line | 1,552 | Mmr/varicella/mcv/hpv | N.A. | Statistical methods not reported | Hesitancy/scepticism/doubt |
Freeman VA, 1999 | 1995 | USA | Cross-sectional | 247 | Varicella | Closed | Not | Hesitancy/scepticism/doubt | |
Frew PM, 2016 | 2012-2014 | USA | Cross-sectional | On-line | 5,121 | Child vaccines | Closed | Not | Acceptance |
Frew PM, 2011 | 2009 | USA | Cross-sectional | Not reported | 223 | Flu | Likert scale | Not | Refusal |
Fry AM, 2001 | 1999-2000 | USA | Case-control | Paper-based | 66 | Hib | Open field | Statistical methods not reported | Hesitancy/scepticism/doubt |
Fuchs EL, 2016 | 2011-2013 | USA | Cross-sectional | Not reported | 350 | Hpv | Likert scale | Not | Hesitancy/scepticism/doubt |
Garcia DA, 2014 | 2000 | Colombia | Cross-sectional | Paper-based | 4,802 | Child vaccines | Mixed | Not | Hesitancy/scepticism/doubt |
Gargano LM, 2013 | 2011 | USA | Cross-sectional | Telephone | 114 | Flu/dtp/mcv/hpv | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Gaudino JA, 2012 | 2004-2005 | USA | Cross-sectional | On-line | 1,588 | Child vaccines | Likert scale | Not | Hesitancy/scepticism/doubt |
Gefenaite G, 2012 | 2009 | Netherlands | Case-control | 469 | Hpv | Closed | Not | Hesitancy/scepticism/doubt | |
Gellatly J, 2005 | 2003-2004 | UK | Cross-sectional | Paper-based | 110 | Mmr | Likert scale | Not | Hesitancy/scepticism/doubt |
Gellin BG, 2000 | 1999 | USA | Cross-sectional | Telephone | 1,600 | Child vaccines | Likert scale | Not | Acceptance |
Gentile A, 2015 | 2013 | Argentina | Cross-sectional | Not reported | 1,350 | Flu | Likert scale | Not | Hesitancy/scepticism/doubt |
Gerend MA, 2009 | 2008 | USA | Cross-sectional | Paper-based | 82 | Hpv | Closed | Not | Acceptance |
Gesser-Edelsburg A, 2016 | 2013 | Israel | Cross-sectional | On-line | 197 | Polio | Open field | Not | Refusal |
Giambi C, 2014 | 2012 | Italy | Cross-sectional | 1,738 | Hpv | Mixed | Not | Refusal | |
Gilbert NL, 2016 | 2013 | Canada | Cross-sectional | Telephone | 5,720 | Hpv | Likert scale | Not | Hesitancy/scepticism/doubt |
Gilkey MB, 2017 | 2014-2015 | USA | Cross-sectional | On-line | 1,484 | Hpv | Closed | Not | Hesitancy/scepticism/doubt |
Glanz JM, 2013 | 2009-2011 | USA | Cross-sectional | 854 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt | |
Glenn BA, 2015 | 2009 | USA | Cross-sectional | Telephone | 444 | Hpv | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Gomez Y, 2012 | 2010 | USA | Cross-sectional | Paper-based | 773 | Flu | N.A. | Not | Hesitancy/scepticism/doubt |
Gottlieb SL, 2009 | 2007 | USA | Cross-sectional | Telephone | 889 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Gowda C, 2013 | 2011 | USA | Cross-sectional | On-line | 79 | Mmr | Likert scale | Not | Hesitancy/scepticism/doubt |
Grabiel M, 2013 | 2012 | USA | Cross-sectional | Paper-based | 129 | Hpv | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Grandahl M, 2014 | 2012 | Sweden | Cross-sectional | Face to face | 25 | Hpv | Open field | Statistical methods not reported | Refusal |
Grandahl M, 2017 | 2012 | Sweden | Cross-sectional | Paper-based | 200 | Hpv | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt |
Greenberg J, 2017 | 2015 | Canada | Cross-sectional | On-line | 1,121 | Mmr | Likert scale | Statistical methods not reported | Acceptance |
Greenfield LS, 2015 | 2012 | USA | Cross-sectional | Face to face | 157 | Dtp/mcv/hpv | Mixed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Griebeler M, 2012 | 2010 | USA | Cross-sectional | Paper-based | 102 | Hpv | Likert scale | Statistical methods not reported | Acceptance |
Guerry SL, 2011 | 2007-2008 | USA | Cross-sectional | Telephone | 509 | Hpv | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt |
Gundogdu Z, 2011 | 2009-2010 | Turkey | Cross-sectional | Paper-based | 300 | Varicella | Likert scale | With statistical methods | Acceptance |
Gunduz S, 2014 | 2011-2012 | Turkey | Cross-sectional | Paper-based | 285 | Flu | Mixed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Gupta R, 2013 | 2009-2010 | USA | Cross-sectional | Paper-based and online | 381 | Flu | Closed | Not | Hesitancy/scepticism/doubt |
Gust D, 2005 | 2002 | USA | Cross-sectional | 697 | Child vaccines | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Gust DA, 2006 | 2004-2005 | USA | Cross-sectional | Telephone | 2,286 | Mmr/dtp/hbv | Closed | Not | Hesitancy/scepticism/doubt |
Gust DA, 2008 | 2003-2004 | USA | Cross-sectional | Telephone | 3,924 | Child vaccines | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Gust DA, 2005 | 2003 | USA | Cross-sectional | 642 | Child vaccines | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Gust DA, 2004 | 2001 | USA | Case-control | 1,477 | Mmr/dtp/hbv | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Gust DA, 2003 | 2002 | USA | Cross-sectional | 1,768 | Child vaccines | Likert scale | Statistical methods not reported | Acceptance | |
Gustafson R, 2005 | 2003 | Canada | Cross-sectional | Telephone | 1,246 | Varicella | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt |
Haesebaert J, 2012 | 2008 | France | Cross-sectional | Face to face | 32 | Hpv | Open field | Statistical methods not reported | Acceptance |
Hagan D, 2016 | 2013 | Ghana | Cross-sectional | Paper-based | 303 | Child vaccines | Closed | Statistical methods not reported | Acceptance |
Hagemann C, 2017 | 2009-2011 | Germany | Cross-sectional | Paper-based | 1,998 | Varicella/measles | N.A. | With statistical methods | Hesitancy/scepticism/doubt |
Hak E, 2005 | N.A. | Netherland | Cross-sectional | Not reported | 283 | Influenza/hbv/bcg | Likert scale | Not | Refusal |
Hamama-Raz Y, 2016 | 2014 | Israel | Cross-sectional | On-line | 314 | Child vaccines | Likert scale | Not | Acceptance |
Han K, Zheng H, 2014 | 2010 | China | Cross-sectional | Face to face | 1,530 | Bcg/dtp/polio/mcv/hbv | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Hanley SJ, 2012 | 2010 | Japan | Cross-sectional | Paper-based | 862 | Hpv | Likert scale | Not | Acceptance |
Hanley SJ, 2014 | 2010 | Japan | Cross-sectional | Paper-based | 54 | Hpv | Likert scale | Not | Acceptance |
Harmsen IA, 2012 | 2011 | Netherlands | Cross-sectional | Paper-based | 906 | Hbv | Likert scale | Not | Acceptance |
He L, 2015 | 2013 | China | Cross-sectional | Face to face | 298 | Flu | Open field | Not | Hesitancy/scepticism/doubt |
Healy CM, 2014 | N.A. | USA | Cross-sectional | Not reported | 401 | Hib/pcv/mcv/flu/hbv/hav/hpv/rotavirus | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Henrikson NB, 2017 | 2013-2015 | USA | Cohort | Telephone | 237 | Child vaccines | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Hertweck SP, 2013 | N.A. | USA | Cross-sectional | On-line | 68 | Hpv | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt |
Hilyard KM, 2014 | 2010 | USA | Cross-sectional | Not reported | 684 | Flu | Closed | Not | Hesitancy/scepticism/doubt |
Hofman R, 2014 | 2009-2011 | Netherlands | Cohort | 793 | Hpv | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Hofstetter AM, 2015 | 2011 | USA | Cross-sectional | Face to face | 128 | Flu | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Hon KL, 2016 | N.A. | Hong Kong | Cross-sectional | Paper-based | 3,479 | Flu | N.A. | Not | Hesitancy/scepticism/doubt |
Hontelez JA, 2010 | N.A. | Netherland | Cross-sectional | Paper-based | 198 | Hbv | Likert scale | Not | Hesitancy/scepticism/doubt |
Horn L, 2010 | 2008 | USA | Cross-sectional | Paper-based | 325 | Hpv | Likert scale | With statistical methods | Acceptance |
How CH, 2016 | 2014 | Singapore | Cross-sectional | Face to face | 200 | Pcv | Likert scale | Not | Hesitancy/scepticism/doubt |
Hu Y, 2017 | 2014 | China | Cross-sectional | Face to face | 2,772 | Child vaccines | N.A. | Statistical methods not reported | Hesitancy/scepticism/doubt |
Hwang JH, 2017 | 2014 | South Korea | Cross-sectional | Face to face | 638 | Flu | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Ilter E, 2010 | 2009 | Turkey | Cross-sectional | Face to face | 525 | Hpv | Likert scale | Not | Hesitancy/scepticism/doubt |
Imburgia TM, 2017 | 2014 | USA | Cross-sectional | On-line | 2,363 | Flu | Likert scale | Not | Hesitancy/scepticism/doubt |
Impicciatore P, 2000 | 1997 | Italy | Cross-sectional | Face to face | 1,035 | Mmr | Closed | With statistical methods | Acceptance |
Jani JV, 2008 | 2001 | Mozambique | Cross-sectional | Face to face | 668 | Child vaccines | N.A. | Statistical methods not reported | Acceptance |
Jaspers L, 2011 | 2009 | Indonesia | Cross-sectional | Face to face | 746 | Hpv | Closed | Not | Acceptance |
Jessop LJ, 2010 | 2001-2004 | UK | Cohort | Paper-based | 749 | Mmr | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Jolley D, 2014 | 2012 | UK | Cross-sectional | On-line | 89 | Child vaccines | Likert scale | Statistical methods not reported | N.A. |
Joseph NP, 2012 | 2008-2009 | USA | Cross-sectional | Face to face | 70 | Hpv | Open field | With statistical methods | Hesitancy/scepticism/doubt |
Joseph NP, 2015 | N.A. | Cross-sectional | Paper-based | 55 | Hpv | Closed | With statistical methods | N.A. | |
Jung M, 2013 | N.A. | Cross-sectional | On-line | 639 | Flu | N.A. | Not | Hesitancy/scepticism/doubt | |
Kadis JA, 2011 | 2009 | USA | Cross-sectional | On-line | 496 | Hpv | Closed | Statistical methods not reported | Acceptance |
Kahn JA, 2009 | 2006-2007 | USA | Cross-sectional | Paper-based | 7,207 | Hpv | Likert scale | With statistical methods | Hesitancy/scepticism/doubt |
Kalucka SK, 2016 | N.A. | Poland | Cross-sectional | Paper-based | 140 | Child vaccines | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Katz ML, 2012 | 2009 | USA | Cross-sectional | Paper-based | 111 | Hpv | Likert scale | Not | Hesitancy/scepticism/doubt |
Haesebaert J, 2014 | 2008 | France | Cross-sectional | Paper-based | 99 | Hpv | Open field | With statistical methods | Hesitancy/scepticism/doubt |
Kaya A, 2017 | 2016 | Turkey | Cross-sectional | Paper-based | 102 | Flu | Mixed | Not | Acceptance |
Kelley CA, 2015 | N.A. | Case-control | Paper-based | 229 | Child vaccines | Mixed | Statistical methods not reported | Refusal | |
Kempe A, 2007 | 2003 | USA | Cross-sectional | Telephone | 472 | Flu | Mixed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Kennedy A, 2011 | 2009 | USA | Cross-sectional | 475 | Child vaccines | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Kennedy A, 2011 | 2010 | USA | Cross-sectional | 376 | Child vaccines | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Kennedy AM, 2005 | 2002 | USA | Cross-sectional | 1527 | Child vaccines | Likert scale | Statistical methods not reported | Hesitancy/scepticism/doubt | |
Kepka D, 2015 | 2013 | USA | Cross-sectional | Paper-based | 118 | Hpv | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Kepka D, 2015 | 2013 | USA | Cross-sectional | Paper-based | 67 | Hpv | Mixed | With statistical methods | Hesitancy/scepticism/doubt |
Kepka DL, 2012 | 2009 | USA | Cross-sectional | Paper-based | 578 | Hpv | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Kester LM, 2013 | 2010 | USA | Cross-sectional | On-line | 501 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Kettunen C, 2017 | N.A. | USA | Cross-sectional | 84 | Child vaccines | Mixed | Statistical methods not reported | Acceptance | |
Kim KM, 2017 | 2014-2015 | South Korea | Cross-sectional | Paper-based | 200 | Hpv | Mixed | Not | Acceptance |
Kinder FD. 2016 | N.A. | USA | Cross-sectional | Paper-based | 72 | Hpv | Mixed | Not | Refusal |
Ko HS, 2015 | N.A. | South Korea | Cross-sectional | Paper-based | 308 | Dtp | Closed | Not | Acceptance |
Kong KA, 2014 | 2013 | South Korea | Cross-sectional | Telephone | 800 | Hav | Mixed | Statistical methods not reported | Acceptance |
Krawczyk A, 2015 | 2010 | Canada | Cross-sectional | 774 | Hpv | Likert scale | Not | Hesitancy/scepticism/doubt | |
Krawczyk A, 2015 | 2010 | Canada | Cross-sectional | 708 | Hpv | Open field | Not | Refusal | |
Krieger JL, 2011 | N.A. | USA | Cross-sectional | Paper-based | 182 | Hpv | Closed | Not | Acceptance |
Lavail KH, 2013 | 2010 | USA | Case-control | 376 | Child vaccines | Likert scale | Not | Acceptance | |
Le Ngoc Tho S, 2015 | 2013 | France | Cross-sectional | Paper-based | 1,270 | Menb | Mixed | With statistical methods | Acceptance |
Lechuga J, 2012 | N.A. | USA | Cross-sectional | Paper-based | 150 | Hpv | Open field | Not | Acceptance |
Lee KN, 2017 | 2015-2016 | South Korea | Cross-sectional | Paper-based | 140 | Hpv | Mixed | Not | Acceptance |
Lee Mortensen G, 2015 | 2013 | Multinational | Cross-sectional | Paper-based | 1,837 | Hpv | Closed | Not | Acceptance |
Lehmann BA, 2017 | 2015 | Netherlands | Cross-sectional | Paper-based | 1,615 | Child vaccines | Mixed | Not | Acceptance |
Lewis T, 1988 | 1988 | USA | Cohort | 2,029 | Dtp | N.A. | Not | N.A. | |
Liao Q, 2016 | 2012-2013 | Hong Kong | Cross-sectional | Telephone | 1,226 | Flu | Mixed | Not | Acceptance |
Lin CJ, 2006 | 2003-2004 | USA | Cross-sectional | Paper-based | 951 | Flu | Mixed | Not | Acceptance |
Linam WM, 2014 | 2010-2011 | USA | Cross-sectional | Paper-based | 372 | Flu | Mixed | Not | Acceptance |
Lindley MC, 2016 | 2013 | USA | Cross-sectional | 6,676 | Hpv | Mixed | Not | Acceptance | |
Livni G, 2017 | 2012 | Israel | Cross-sectional | Paper-based | 186 | Flu | Mixed | Statistical methods not reported | Acceptance |
Loke AY, 2017 | 2010 | Hong Kong | Cross-sectional | Paper-based | 170 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Low MSF, 2017 | 2015-2016 | Singapore | Cross-sectional | On-line | 332 | Flu | Mixed | Statistical methods not reported | Acceptance |
Luthy KE, 2010 | N.A. | USA | Cross-sectional | Paper-based | 86 | Child vaccines | Mixed | Not | Hesitancy/scepticism/doubt |
Luthy KE, 2013 | N.A. | USA | Cross-sectional | Paper-based | 801 | Child vaccines | Mixed | Not | Hesitancy/scepticism/doubt |
Luthy KE, 2009 | N.A. | USA | Cross-sectional | Paper-based | 86 | Child vaccines | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Maayan-Metzger A, 2005 | 2003 | Israel | Case-control | Paper-based | 204 | Hbv | Closed | Not | Hesitancy/scepticism/doubt |
MacDonald SE, 2014 | N.A. | Canada | Case-control | 444 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt | |
MacDougall DM, 2016 | 2010-2012 | Canada | Case-control | Paper-based | 722 | Rotavirus | Mixed | Statistical methods not reported | Acceptance |
Madhivanan P, 2014 | 2010 | India | Cross-sectional | 797 | Hpv | Likert scale | Not | Acceptance | |
Mameli C, 2014 | 2013 | Italy | Cross-sectional | Paper-based | 1,842 | Menb | Closed | Not | Hesitancy/scepticism/doubt |
Marlow LA, 2007 | 2006 | UK | Cross-sectional | Paper-based | 684 | Hpv | Mixed | Not | Acceptance |
Marlow LA, 2007 | 2006 | UK | Cross-sectional | Paper-based | 684 | Hpv | Likert scale | With statistical methods | Acceptance |
Marshall H, 2014 | 2012 | Australia | Cross-sectional | Paper-based | 966 | Menb | N.A. | With statistical methods | Acceptance |
Marshall H, 2007 | 2006 | Australia | Cross-sectional | Telephone | 2,002 | Hpv | Closed | With statistical methods | Acceptance |
Mayet AY, 2017 | 2013 | Saudi Arabia | Cross-sectional | Paper-based | 998 | Flu | Mixed | Not | Hesitancy/scepticism/doubt |
McCauley MM, 2012 | 2010 | USA | Cross-sectional | Telephone | 690 | Child vaccines | Likert scale | Statistical methods not reported | N.A. |
McHale P, 2016 | 2012-2013 | UK | Cross-sectional | Telephone | 47 | Mmr | Open field | Statistical methods not reported | N.A. |
Melman ST, 1999 | 1995-1997 | USA | Cross-sectional | Paper-based | 1,059 | Child vaccines | Open field | Not | N.A. |
Meszaros JR, 1996 | N.A. | USA | Cross-sectional | Paper-based | 294 | Pertussis | Mixed | Not | N.A. |
Michael CA, 2014 | 2012 | Nigeria | Cross-sectional | Paper-based | 48 | Polio | Open field | Not | N.A. |
Michael CE, 2014 | 2009 | Nigeria | Cross-sectional | Paper-based | 201 | Hpv | Closed | Not | Acceptance |
Middleman AB, 2002 | 2000 | USA | Cross-sectional | Paper-based | 563 | Hbv | Closed | Not | Hesitancy/scepticism/doubt |
Milteer RM, 1996 | 1991-1994 | USA | Cross-sectional | Paper-based | 175 | Child vaccines | Open field | Not | N.A. |
Morales-Campos DY, 2017 | 2011-2013 | Cameron | Cross-sectional | Paper-based | 317 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Morhason-Bello IO, 2015 | 2012 | Nigeria | Cross-sectional | Paper-based | 1,002 | Hpv | Likert scale | With statistical methods | Acceptance |
Morrone T, 2017 | 2015 | Italy | Cross-sectional | Paper-based | 543 | Menb | N.A. | With statistical methods | N.A. |
Moulsdale P, 2017 | 2014 | UK | Cross-sectional | Paper-based | 86 | Flu | Likert scale | Not | Acceptance |
Muhwezi WW, 2014 | 2012 | Uganda | Cross-sectional | Paper-based | 870 | Hpv | Closed | With statistical methods | Acceptance |
Murakami H, 2014 | 2007 | Pakistan | Cross-sectional | Paper-based | 630 | Polio | Open field | Not | Refusal |
My C, 2017 | 2012 | Australia | Cross-sectional | On-line | 452 | Flu | Closed | Not | Hesitancy/scepticism/doubt |
Naeem M, 2011 | 2010 | Pakistan | Cross-sectional | Paper-based | 548 | Polio | Closed | Not | Hesitancy/scepticism/doubt |
Naeem M, 2011 | 2010 | Pakistan | Cross-sectional | Paper-based | 506 | Hbv | Closed | Not | Hesitancy/scepticism/doubt |
Namuigi P, 2005 | 2003 | Papua New Guinea | Cross-sectional | Paper-based | 120 | Measles | Closed | Not | Hesitancy/scepticism/doubt |
Niederhauser VP, 2007 | 2003-2004 | USA | Cross-sectional | Paper-based | 64 | Child vaccines | Open field | Not | Hesitancy/scepticism/doubt |
Oladokun RE, 2010 | 2009 | Nigeria | Cross-sectional | Paper-based | 248 | Bcg/polio/dtp/masles/hbv | Closed | Statistical methods not reported | Acceptance |
Onnela JP, 2016 | 2012 | India | Cohort | Paper-based | 2,462 | Polio | Closed | Statistical methods not reported | Acceptance |
Oria PA, 2013 | 2010 | Kenya | Cross-sectional | Paper-based | 7,177 | Flu | Mixed | Not | N.A. |
Ozawa S, 2017 | 2013 | Nigeria | Cross-sectional | Paper-based | 198 | Dtp/measles/polio | Closed | Statistical methods not reported | N.A. |
Paek HJ, 2015 | 2014 | South Korea | Cross-sectional | Paper-based | 1,017 | Child vaccines | Mixed | Not | N.A. |
Painter JE, 2011 | 2009 | USA | Cross-sectional | Paper-based | 102 | Flu | Mixed | Not | N.A. |
Parrella A, 2013 | 2011 | Australia | Cross-sectional | Telephone | 469 | Child vaccines | Likert scale | Not | N.A. |
Parrella A, 2012 | 2010 | New Zeland | Cross-sectional | Telephone | 179 | Dtp/polio/hbv/hib/rotavirus/mmrv/mcv/pcv/flu | Closed | Statistical methods not reported | N.A. |
Paulussen TG, 2006 | 1999 | Netherland | Cross-sectional | On-line | 491 | Dtp/polio/hib/mmr | Closed | Not | N.A. |
Peleg N, 2015 | 2011 | Israel | Cross-sectional | Paper-based | 273 | Flu | Closed | Statistical methods not reported | N.A. |
Pelucchi C, 2010 | 2008 | Italy | Cross-sectional | Paper-based | 3,026 | Hpv | N.A. | Not | N.A. |
Perez S, 2016 | N.A. | Canada | Cross-sectional | On-line | 2,272 | Hpv | Closed | Statistical methods not reported | N.A. |
Perez S, 2017 | 2014 | Canada | Cross-sectional | On-line | 2,272 | Hpv | Closed | With statistical methods | N.A. |
Perez S, 2016 | 2014 | Canada | Cross-sectional | On-line | 2,272 | Hpv | Closed | Statistical methods not reported | N.A. |
Perez S, 2016 | 2014 | Canada | Cross-sectional | On-line | 2,272 | Hpv | Closed | Statistical methods not reported | N.A. |
Podolsky R, 2009 | N.A. | Usa | Cross-sectional | Paper-based | 308 | Hpv | Mixed | Statistical methods not reported | N.A. |
Pot M, 2017 | 2015-2016 | Netherlands | Cross-sectional | On-line | 8,062 | Hpv | Closed | Not | N.A. |
Reiter PL, 2013 | 2008-2010 | Usa | Cross-sectional | 1,951 | Hpv | Mixed | Statistical methods not reported | N.A. | |
Restivo V, 2015 | 2012-2013 | Italy | Cross-sectional | Telephone | 443 | Mmr | Closed | Not | N.A. |
Roberts JR, 2015 | 2011-2012 | USA | Cross-sectional | Paper-based | 363 | Dtp/mcv/hpv | Closed | Statistical methods not reported | N.A. |
Robitz R, 2011 | 2007-2008 | USA | Cross-sectional | Telephone | 484 | Hpv | Closed | Statistical methods not reported | N.A. |
Rogers C, 2014 | N.A. | USA | Cross-sectional | On-line | 51 | Child vaccines | Closed | Not | N.A. |
Ruffin MT, 2012 | 2006-2008 | USA | Case-control | Telephone | 1,131 | Hpv | Closed | Not | N.A. |
Salmon DA, 2005 | 2002-2003 | USA | Case-control | 1,367 | Polio/mmrv/dtp/hib/hbv | Closed | Not | N.A. | |
Salmon DA, 2009 | N.A. | USA | Case-control | 963 | Child vaccines | Closed | Not | N.A. | |
Sam IC, 2009 | 2007 | Malaysia | Cross-sectional | Paper-based | 362 | Hpv | Mixed | Not | N.A. |
Sampson R, 2011 | 2008 | UK | Cross-sectional | I part mail, ii part interview | 7 | Flu | Closed | Not | N.A. |
Rickert VI, 2015 | 2012-2013 | USA | Cross-sectional | On-line | 501 | Child vaccines/flu/pcv/mmr/varicella/dtp/hav/hbv/hpv/mcv | Closed | Not | N.A. |
Rose SB, 2012 | 2008-2009 | New Zeland | Cross-sectional | Paper-based | 769 | Hpv | Closed | Not | N.A. |
Santibanez TA, 2016 | 2011-2012 | USA | Cross-sectional | Telephone | 19,178 | Flu | Closed | Not | Hesitancy/scepticism/doubt |
Saqer A, 2017 | 2017 | Emirati Arabi | Cross-sectional | Paper-based | 400 | Hpv | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Schollin Ask L, 2017 | 2014 | Sweden | Cross-sectional | On-line | 1,063 | Rotavirus | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Schwarz NG, 2009 | 2009 | Gabon | Cross-sectional | Paper-based | 40 | Child vaccines | Closed | Statistical methods not reported | Acceptance |
Selmouni F, 2015 | 2015 | Marocco | Cross-sectional | Paper-based | 1,312 | Hpv | Open field | Not | Acceptance |
Sengupta B, 1998 | 1998 | India | Cross-sectional | Paper-based | 656 | Polio | Mixed | Not | Hesitancy/scepticism/doubt |
Seven M, 2015 | 2015 | Turkey | Cross-sectional | Paper-based | 368 | Hpv | Closed | Not | N.A. |
Shao SJ, 2015 | 2014 | Caraibi | Cross-sectional | Paper-based | 35 | Hpv | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Shapiro GK, 2016 | 2014 | Canada | Cross-sectional | On-line | 1,427 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Shapiro GK, 2017 | 2016-2017 | Canada | Cross-sectional | On-line | 4,606 | Hpv | Open field | Statistical methods not reported | Acceptance |
Shawn DH, 1987 | 1986 | Canada | Cross-sectional | Paper-based | 133 | Hib | Closed | Statistical methods not reported | Hesitancy/scepticism/doubt |
Sheikh A, 2013 | 2012-2013 | Pakistan | Cross-sectional | Paper-based | 1,044 | Polio/tetanus/measles | Closed | Not | Hesitancy/scepticism/doubt |
Shuaib FM, 2010 | 2008 | Jamaica | Case-control | Paper-based | 285 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt |
Skinner J, 1995 | 1992 | Australia | Cohort | 1,004 | Child vaccines | Mixed | Statistical methods not reported | Acceptance | |
Smailbegovic MS, 2003 | 1999 | UK | Case-control | On-line | 129 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt |
Smith MJ, 2009 | 2009 | USA | Cross-sectional | On-line | 121 | Child vaccines | Mixed | Not | Hesitancy/scepticism/doubt |
Smith PJ, 2011 | 2009 | USA | Cross-sectional | Telephone | 11,206 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt |
Smith PJ, 2010 | 2003 | USA | Cross-sectional | Telephone | 2,921 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt |
Smith PJ, 2006 | 2001-2002 | USA | Cross-sectional | Telephone | 7,695 | Child vaccines | Closed | Not | Hesitancy/scepticism/doubt |
Smith PJ, 2015 | 2010-2013 | USA | Cross-sectional | Telephone | 19,144 | Measles | Closed | Not | Hesitancy/scepticism/doubt |
Smith PJ, 2016 | 2010-2014 | USA | Cross-sectional | Telephone | 8,490 | Hpv | Closed | Not | Hesitancy/scepticism/doubt |
Sohail MM, 2015 | N.A. | Pakistan | Cross-sectional | Paper-based | 200 | Child vaccines | Mixed | Not | Acceptance |
Songthap A, 2012 | 2012 | Thailandia | Cross-sectional | Paper-based | 664 | Hpv | Closed | Not | Hesitancy/scepticism/doubt |
Soyer OU, 2011 | 2003 | USA | Cross-sectional | Telephone | 500 | Flu | Mixed | Not | Acceptance |
Staras SA, 2014 | 2009 | Usa | Cross-sectional | Telephone | 2,422 | Hpv | Closed | Not | Acceptance |
SteelFisher GK, 2015 | 2013-2014 | Multinational | Cross-sectional | Paper-based | 6,025 | Polio | Closed | Not | Acceptance |
Stefanoff P, 2010 | 2008-2009 | Multinational | Cross-sectional | Telephone, paper-based, mail | 6,611 | Child vaccines | Mixed | Not | Acceptance |
Stein Zamir C, 2017 | 2015 | Israel | Cross-sectional | Paper-based | 45 | Child vaccines | Closed | Not | Acceptance |
Stephenson JD, 1987 | 1986 | Canada | Cross-sectional | Paper-based | 133 | Hib | Closed | Not | Hesitancy/scepticism/doubt |
Stockwell MS, 2014 | 2007-2008 | USA | Cross-sectional | Paper-based | 705 | Child vaccines | Mixed | Not | Acceptance |
Strelitz B, 2015 | 2013-2014 | USA | Cross-sectional | Paper-based | 152 | Flu | Likert scale | Not | Hesitancy/scepticism/doubt |
Stretch R, 2008 | 2007-2008 | UK | Cross-sectional | Paper-based | 651 | Hpv | Likert scale | Statistical methods not reported | Acceptance |
Suarez-Castaneda E, 2014 | 2011 | El Salvador | Cross-sectional | Paper-based | 2,550 | Child vaccines | Mixed | Not | Acceptance |
Sundaram SS, 2010 | N.A. | UK | Cross-sectional | Paper-based | 50 | Hpv | Likert scale | Not | Acceptance |
Tadesse H, 2009 | 2008 | Ethiopia | Case-control | Paper-based | 266 | Child vaccines | Mixed | Statistical methods not reported | Acceptance |
Tagbo BN, 2014 | 2014 | Nigeria | Cross-sectional | Paper-based | 426 | Polio | Likert scale | With statistical methods | Hesitancy/scepticism/doubt |
Taiwo L, 2017 | 2015 | Nigeria | Cross-sectional | Paper-based | 379 | Child vaccines | Mixed | Not | Hesitancy/scepticism/doubt |
Takahashi K, 2014 | 1999-2003 | Japan | Cross-sectional | Paper-based | 120 | Measles | Mixed | Not | Refusal |
Tam WW, 2015 | 2003 | HongKong | Cross-sectional | Paper-based | 5,617 | Varicella | Likert scale | Not | Acceptance |
Tan TNQ, 2017 | 2011-2013 | USA | Cross-sectional | Paper-based | 516 | Hpv | Mixed | Not | Acceptance |
Tang CW, 2011 | 2006-2008 | Taiwan | Cross-sectional | Paper-based | 539 | Child vaccines | Mixed | Statistical methods not reported | Acceptance |
Taylor JA, 1996 | 1993 | USA | Case-control | Paper-based | 194 | Child vaccines | Likert scale | Statistical methods not reported | Acceptance |
Taylor JA, 2002 | 1998-2000 | USA | Cross-sectional | Paper-based | 13,520 | Child vaccines | Mixed | Not | Acceptance |
Thomas T, 2015 | N.A. | Georgia | Cross-sectional | Paper-based | 37 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Thomas TL, 2012 | 2010-2011 | USA | Cross-sectional | Paper-based | 400 | Hpv | Mixed | Not | Hesitancy/scepticism/doubt |
Thomas TL, 2013 | 2009 | USA | Cross-sectional | Paper-based | 200 | Hpv | Likert scale | Statistical methods not reported | N.A. |
Thomas TL, 2017 | 2010-2011 | USA | Cross-sectional | Paper-based | 341 | Hpv | Likert scale | Not | Acceptance |
Thompson EL, 2017 | 2012-2015 | USA | Cross-sectional | Telephone | 59,897 | Hpv | Closed | With statistical methods | Hesitancy/scepticism/doubt |
Tisi G, 2013 | 2011 | Italy | Cross-sectional | Paper-based | 161 | Hpv | Mixed | Not | Acceptance |
Taylor, JA, 2000 | 1997-1998 | USA | Cross-sectional | Paper-based | 598 | Varicella | Likert scale | Not | Hesitancy/scepticism/doubt |
Schwartz B, 2000 | 2000-2001 | USA | Cross-sectional | Telephone | 12,060 | Hbv/dtp/measles/varicella | Mixed | Not | N.A. |
Streng A, 2010 | 2006-2008 | Germany | Cross-sectional | Paper-based | 1,088 | Varicella | Mixed | Statistical methods not reported | Acceptance |
Opel DJ, 2011 | 2010 | USA | Cross-sectional | 228 | Dtp/polio/mmr | Likert scale | Not | Hesitancy/scepticism/doubt | |
World Health Organization, 1997 | 1994 | Italy | Cross-sectional | Face to face | 1,800 | Dtp/polio | Closed | With statistical methods | Hesitancy/scepticism/doubt |
N.A.: not available.
STUDY DESIGNS AND STUDY AIMS
Most of the included studies (60.4%, n = 202/334) were conducted between 2010 and 2019, while 30.5% (n = 102/334) articles reported a study period prior to 2008. In a total of 8.9% (n = 30/334) works the study period was not specified. Among the most recent studies, 48.8% (n = 100/334) were conducted in North or South America (Argentina, Brazil, Canada, Caribbean, El Salvator, Puerto Rico and USA). 14.4% of the studies (n = 48/334)) investigated the Asian population (Hong Kong, China, India, Indonesia, Israel, Japan, South Korea, Kyrgyzstan, Malaysia, Pakistan, Saudi Arabia, United Arab Emirates, Singapore, Taiwan, Thailand and Turkey), 12.8% (n = 26/334) the studies were about European people (Italy, Sweden, United Kingdom, Spain, Greece, France, Germany and the Netherlands), and 11.7% (n = 24/334) of the studies the population was from African and Oceanic countries (Cameroon, Ghana, Kenya, Gabon, Nigeria, Uganda, Morocco, Australia and New Zealand). Only 1.9% of the studies (n = 5/334) were carried out in multiple countries and were therefore classified as multinational surveys.
Almost all of the examined studies, 92.8% (n = 310/334), are cross-sectional; 4.8% (n = 16/334) are case-control studies and finally 2.4% (n = 8/334) are cohort studies.
Even though all the studies included in our review aimed at investigating the phenomenon of vaccine hesitancy, each of them focused on specific aspects of this behaviour. In this respect, the main purpose in 30.8% (n = 103/334) of the studies was to investigate parental knowledge, attitudes, practices, beliefs, awareness, concerns and sources of information about childhood vaccinations. In 21.6% (n = 72/334) of the studies the main objective was focused on investigating parents’ attitudes towards childhood vaccinations and exploring possible influential or determining factors. 18.6% (n = 62/334) and 15.0% (n = 50/334) of the studies were aimed respectively at identifying the factors associated with the parental decision to vaccinate and at examining the potential reasons for refusing immunization of their children. In 4.5% (n = 15/334) of the cases, a broad assessment of the vaccine hesitancy phenomenon was specifically investigated.
According to the 3C model, vaccine convenience is determined by physical availability, affordability and willingness-to-pay, geographical accessibility, ability to understand (consisting of both language and health literacy) and appeal of immunization services [9]. Therefore, potential barriers to immunization were also considered in our research and were investigated in 3.6% (n = 12/334) of the studies. Particular attention to the aspect of non-compliance with the vaccination schedule, such as following the correct timing and the complete administration of all the required vaccine doses, was only investigated in 3.3% (n = 11/334) of the analysed studies. Finally, 9 studies (n = 2.7%) explored the various determinants that can condition parental decisions or attitudes towards the immunization of children with pre-existing pathologies or health problems.
POPULATION CHARACTERISTICS
The population interviewed mainly consisted of parents – without any further details (73.1%, n = 244/334) – in approximately 20% of the studies (n = 66/334) the mother was the only parent surveyed, and only 1 study recruited selectively fathers. The sample size ranged from 7 to 59,897, the mean population included was about 1,647 people.
In primary studies, parents were recruited regardless of their attitudes and beliefs in 68.9% of the studies (n = 230/334), while in the remaining 103 articles, the primary studies selected the population based on their attitude: about 13.5% of the studies (45/334) were conducted in people with a positive attitude of acceptance, 38 studies (11.4%) were conducted among a hesitant population and 20 (6%) selected a population with an attitude of refusal towards vaccines. The definition of “acceptant/hesitant/refusing” behaviour was described in every article considered, and even though the specific characteristics might be slightly different among different studies, we relied on the classification provided by each article to analyse our results. Recruiting parents on the basis of their attitude towards vaccinations was very important in order to analyse the determinants of Vaccine Hesitancy in each different subgroup.
QUESTIONNAIRES CHARACTERISTICS
The Authors reported both the number and the type of items only in 38.0% (n = 127/334) of the included studies. Regarding the type, more than half (37.7%, n = 126/334) consisted of closed questions. Likert scales were the second most common type used in the questionnaires (23.6%, n = 79/334), while open-ended questions were used in 14.9% of the studies (n = 50/334).
Frequently the studies were conducted using a self-reported questionnaire (69.2%, n = 231/334), or interview (28.1%, n = 94/334), while in 2.7% (n = 9/334) of the studies data were collected in a multi-phase study. Considering the questionnaires, they were mainly administered either on paper (41.6%, n = 139/334) or as an online version (13.5%, n = 45/334). Other administration channels were mail, face to face interviews (9.9%, n = 33/334) or telephone interviews (13.5% 45/334).
However, in 80.2% of the studies, the questionnaire was not attached to the paper and for this reason it was not possible to obtain any further information. Lastly, in 42.8% of the studies (n = 143/334) the questionnaire had been previously validated; however, statistical methods were reported only in 14.8% of the sample (n = 51/334); while in 57.2% (n = 191/334) of the papers the questionnaire had not been validated.
VACCINES AND IMMUNIZATION BEHAVIOURS
22.4% (n = 75/334) of the included articles regarded childhood vaccinations in general, without addressing a specific vaccine. The HPV vaccine was the most frequently investigated (39.2%, n = 133/334), followed by influenza (13.5%, n = 47/334), measles (10.8%, n = 36/334) and varicella or varicella containing vaccine (MMRV) (4.5%, n = 15/334). 67.4% (n = 225/334) of the papers assessed the attitude towards one specific vaccine (monovalent or combined): 5,7% (n = 19/334) of the articles assessed attitudes towards polio vaccine, while 6,3% (n = 22/334) assessed HBV vaccine; a lower percentage reported the behaviour towards meningococcal vaccinations (1.7% - n = 6/334 MenB and 3.6% - n = 12/334 quadrivalent vaccine), Hib vaccine, HAV vaccine, rotavirus and BCG vaccination. 7.5% (n = 25/334) of the studies focused on more than one vaccine, such as diphtheria, tetanus and pertussis vaccination.
Data about the immunization behaviours were reported in 88% of the studies (n = 294/334). In particular, the subjects involved in the studies showed a behaviour defined as “acceptance” in 38.6% studies (38.6%, n = 129/334), as “hesitancy/scepticism/doubt” in 43.4% (n = 145/334) of the studies (and as “refusal” in 6.6% (n = 22/334) of the studies. In 10.5% (n = 35/334) of the studies assessed this information was not detected.
PARENTS’ BELIEFS ABOUT VACCINE SAFETY/EFFICACY
Parents’ beliefs about vaccine safety/efficacy were evaluated in most (58.7%; n = 196/334) of the papers included in the review. In particular, 52.4% (n = 175/334) gave a quantitative evaluation, among which 53.7% (n = 94/175) showed that the majority of the sample believed vaccines to be safe and effective, 4.6% of the studies (n = 8/175) showed that the minority of the subjects interviewed believed in vaccine safety/efficacy, while 41.7% (73/175) outlined how the beliefs about vaccines’ safety/efficacy are one of the most important barriers in vaccination. Other studies (10.7%, n = 21/196) gave a qualitative and descriptive approach to the issue of “vaccine safety/efficacy”. No information was given in 41.3% of the studies (n = 138/334).
Discussion
This manuscript shows the results of an extensive systematic review conducted using three scientific databases (PubMed/Medline, Web of Science and The Cochrane Library). Out of 3,508 retrieved studies, 334 papers were included in the qualitative evaluation. The inclusion of a great number of relevant studies, of which two thirds have been conducted in the last 10 years, reflects the relevance of this issue nowadays: investigating and therefore understanding the phenomenon of vaccine hesitancy is a necessary step in the process of overcoming it. As a matter of fact, it is extremely important to counteract this attitude, as it might lead to a decrease in vaccination coverage and therefore increase the risk of future epidemics of VPDs. The original papers included in the analysis were mainly studies conducted in western countries, while 1/4 were performed in Asia and 1/7 in Africa and Oceania.
Even if all the studies included in the review aimed at exploring VH among parents or guardians, they differ in their study design, overall number of items, context and response formats. Most of the times, three different types of questions were used in the articles examined: closed questions, likert scales questions and open-ended questions (however, a combination of these types of questions was often used as well). Most of studies had a cross-sectional design and were conducted in the last ten years, aimed to investigate parental knowledge, attitudes, practices and beliefs about childhood vaccinations, while only a small percentage (4.5%) investigated the specific reasons for vaccine hesitancy. Closed questions were the most frequent, mainly through the administration of a self-reported questionnaire, but in most cases it was impossible to get more information about the tool used, because only in 20% of studies the questionnaire was attached to the article.
Closed questions, allowing a quantitative analysis, are a very useful tool although they don’t permit to explain with more details the reasons behind VH for vaccine preventable diseases. In fact, it can be defined as “the means for testing objective theories by examining the relationship among variables which in turn can be measured so that numbered data can be analyzed using statistical procedures”. On the other hand, a qualitative approach is more likely to use open questions as research tool. Open ended questions don’t enable comparisons between different studies but they do provide more detailed information of the issues examined. In fact, a qualitative approach is useful when statistical procedures and numeric data may be insufficient to capture how patients and health care professionals feel about patients’ care, enabling researchers to understand the world as another experiences it [351]. Qualitative tools are connected to the way human behavior can be explained, within the framework of the social structures in which that behavior takes place. However, closed questions represent the easiest way to explore a topic and simplify the analysis for the Authors. It should be considered that the way of administration varied among the studies and might have had an impact on the quality of the data generated [352]. Moreover, since questionnaires are a sort of “diagnostic” epidemiological tool, they should be previously validated in order to effectively measure their outcomes [353]. However, only a small percentage of questionnaire had been previously validated in the studies analysed. This aspect should be taken into account, since effectively monitoring VH and identifying beliefs about vaccines is extremely important in order to fully understand the nature of such hesitancy, to compare the phenomenon among countries and over the time, and lastly, to implement the appropriate types of intervention. In addition, only 14.8% of the included studies reported the statistical methods used to validate the questionnaire in detail.
This review shows that the most frequently analysed vaccines are HPV and flu, followed by measles and varicella containing vaccines. They were mainly investigated for the perception about risks and safety, as well for the low vaccine coverages (compared to the WHO target), which is partly due to the reduction in the perceived risk of these diseases [354]. In this perspective, the reinforcement of mandatory vaccination laws in some European countries (e.g. Italy and France) led to an increase in vaccination coverage, mainly because this intervention tackled the complacency component of VH [355, 356]. In Italy, the reinforcement of the mandatory vaccination law dramatically reduced the number of parents who missed the measles vaccination due to definitive informed dissent or unwillingness to attend the appointment [357].
Fathers were specifically investigated only in 1 study included [175] in this review: further studies should investigate this population, in order to determinate possible gender differences in VH definition. It can be speculated that fathers are little involved, by healthcare professionals, in the vaccination decisions of their children. On the contrary, the involvement of both parents could be important in order to recover the confidence of families, which has diminished over time. In this perspective, healthcare professionals should be adequately trained and properly equipped with communication skills to clearly, transparently and comprehensively deal with this problem [358, 359]. Healthcare professionals are the main source of information on the issue of vaccinations, but they are not the only one: parents frequently rely on the information they obtain on the internet, especially regarding vaccinations and the related diseases [360-362].
Before generalizing the results of this review, some limitation should be acknowledged. First, a small percentage of included studies was validated, and the questions identified didn’t address all the determinants in the Vaccine Hesitancy Matrix.
Secondly, the findings from studies investigating specific vaccines should not be generalized to all vaccines. Moreover, VH evolves rapidly in time and some determinants could change quickly, not only according to the perception of danger of the diseases reported by media in different countries but also due to other socio-cultural influences. Monitoring the trend is important in order to measure parental VH in time and to better understand parents’ concerns and behaviors. Generally speaking, the availability of a good and accurate tool, tested and validated in all settings, and subsequently refined, is necessary to compare the results, to assess the dynamic nature of VH and to develop tailored communication strategies [363-366]. Furthermore, most of the information, especially related to the vaccination status were self-reported and no vaccination cards or Immunization Information System (IIS) were used to verify the information. Healthcare professionals and scientists should be encouraged to use the new technologies, as for instance the IIS, to monitoring both the vaccination coverage and the VH trends [367, 368]. Moreover, according to a recent review, the IIS might greatly improve and counter VH [369].
Nevertheless, a point of strength of this review is the variety of vaccine preventable diseases included. Moreover, to the best of our knowledge, this is the first systematic review that extensively assessed the developed questionnaires aimed to evaluate the parents’ VH.
Conclusions
To conclude, VH is a public health challenge as confirmed by the high number of studies and questionnaires retrieved. No questionnaire can be considered the absolute best a priori, but this study offers a deeper perspective on the available questionnaires, therefore helping future researches to identify the most suitable one according to their own aim and study setting.
Further studies monitoring VH should take into account the questionnaires already available in literature, therefore allowing to improve intra- and inter-country comparability among countries and over time, reducing the time waste in developing a new questionnaire, and improving the financial sustainability of research. Moreover, using a validate questionnaire will improve the methodological quality of future studies.
Figures and tables
Acknowledgements
The Authors would like to thank the components of the “Vaccine and vaccine hesitancy” working group of the Committee of Medical Residents of the Italian Society of Hygiene and Preventive Medicine.
Funding sources: this research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Footnotes
Conflict of interest statement
The authors declare no conflict of interest.
Authors’ contributions
VG and PC conceived the study, PC, GV, IB, GD, MN, OG, FD, PS, SDN, SP, AC, LG, FDA, FDG, EA, OES, LK, CA, VG performed a search of the literature, drafted and revised the manuscript. GD revised the language. VG and IB revised critically the manuscript. All authors read and approved the last version of the manuscript.
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