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Vol. 32. Issue 5.
Pages 454-458 (September - October 2018)
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Vol. 32. Issue 5.
Pages 454-458 (September - October 2018)
Original article
Open Access
Drivers for human papillomavirus vaccination in Valencia (Spain)
Factores asociados a la vacunación contra el virus del papiloma humano en Valencia (España)
Pedro Navarro-Illanaa, Esther Navarro-Illanaa, Rafael Vila-Candela,b,
Corresponding author

Corresponding author.
, Javier Díez-Domingoa,c
a Faculty of Nursing, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
b Department of Obstetrics and Gynaecologist, Hospital La Ribera, Alzira (Valencia), Spain
c FISABIO-Public Health, Valencia, Spain
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Tables (2)
Table 1. Socioeconomic status: sociocultural and family variables.
Table 2. Binary logistic regression model results (n=833).
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To describe the drivers associated with HPV vaccination in adolescent girls and their parent's opinion on the vaccine.


We conducted an observational and cross-sectional study on adolescent girls and their parents in Valencia (Spain), between September 2011 and June 2012. A consultation was made at a random sample of schools of the 14-year-old girls that should have received the vaccine in the free vaccination programme. We ran a personal survey on knowledge and attitudes regarding HPV infection and the vaccine. A binary logistic regression model was performed to determine which factors were most associated with vaccination.


The survey was run on a binomial of 1,278 girls/mothers in 31 schools, to which 833 girls and their mothers responded (64.0%). The factors associated with vaccination were: country of origin of the families (adjusted OR [aOR]: 0.49; 95% confidence interval [95%CI]: 0.24-0.98), civil status of the parents (aOR: 0.33; 95%CI: 0.13-0.81), knowledge/beliefs about the vaccine when the source of information was the nurse (aOR: 1.83; 95%CI: 1.01-3.35), information source about the vaccine (aOR: 2.32; 95%CI: 1.37-3.92), preventive health centre visits (aOR: 2.1; 95%CI: 1.10-4.07), and nurse advice (aOR: 6.6; 95%CI: 3.19-13.56).


The main factor associated with HPV vaccination was the advice of health professionals. Therefore, the most effective interventions to improve vaccination coverage should focus on health professionals.

Human papillomavirus

Describir qué factores se asocian a la vacunación contra el virus del papiloma humano (VPH) en adolescentes y la opinión de sus padres/madres sobre dicha vacuna.


Se llevó a cabo un estudio observacional y transversal en chicas adolescentes y sus progenitores en Valencia (España), entre septiembre de 2011 y junio de 2012. Se realizaron consultas a las niñas de 14 años que tendrían que haber sido vacunadas dentro del programa de vacunación gratuita, en una muestra aleatoria de colegios. Se preguntó sobre conocimientos y actitud respecto a la infección por el VPH y la vacuna, mediante entrevista personal. Se llevó a cabo un modelo de regresión logística binaria para determinar qué factores estaban más asociados con la vacunación.


Se entrevistó a 1278 binomios chica/madre, con una tasa de respuesta del 64,0% (833). Los factores asociados a la vacunación fueron el país de origen de las familias (odds ratio ajustada [ORa]: 0,49; intervalo de confianza del 95% [IC95%]: 0,24-0,98), el estado civil de los progenitores (ORa: 0,33; IC95%: 0,13-0,81), los conocimientos/creencias sobre la vacuna cuando la principal fuente de información fue la enfermera (ORa: 1,83; IC95%: 1,01-3,35), la fuente de información sobre la vacuna (ORa: 2,32; IC95%: 1,37-3,92), las visitas preventivas al centro de salud (ORa: 2,12; IC95%: 1,10-4,07) y el consejo de la enfermera (ORa: 6,57; IC95%: 3,19-13,56).


El principal factor asociado a la vacuna del VPH fue el consejo del personal sanitario, por lo que las intervenciones para aumentar la cobertura vacunal deben centrarse en este colectivo.

Palabras clave:
Virus del papiloma humano
Factores asociados
Full Text

Human papillomavirus (HPV) is a necessary cause of cervical dysplasia and cancer. Genital warts are one of the most prevalent sexually transmitted diseases in Europe. HPV vaccine coverage is thus an important public health concern and understanding the reasons for accepting or rejecting vaccination is essential for increasing compliance.1

The reasons for decreased vaccination coverage seemed to be different according to region and circumstances.2 There were factors such as the negative impact of mass media, misinformation from anti-vaccination movements, as well as the initial “aggressive” campaigns carried out by commercial companies.3–5 In Spain, these campaigns started a polemical debate even before the vaccination program was launched, possibly creating uncertainty regarding the indications for HPV vaccination among some healthcare professionals. Vaccination coverage in the first campaign, in a cohort of girls born in 1994 vaccinated with three doses, was 75.2% of the total target population. However, in the following campaign (1995 cohort), it decreased to 62.5%. And although it increased again slightly to 67.6% in the 1996 cohort, the overall rate did not improve in the region.6 Economic studies carried out before and after the vaccination program stated that vaccination coverage of 70%, or higher, was necessary to predict cost-effectiveness of an intervention.2–5 Nevertheless, these rates were relatively low compared to others obtained in England, Scotland or Wales (84.0%), where funding and implementation conditions were similar.7

Prior to the vaccination program, literature suggested that ethnicity, socio-demographic and psychosocial factors could play a decisive role in vaccination.8 Research after the vaccination programs were launched6,8–14 confirmed that age, perceived access to vaccination, cultural norms, religion, knowledge about the severity of the disease and risk perception, directly influenced the acceptance of the vaccine.1,15 These factors, together with the usual acceptance difficulties that any vaccine may have, are a challenge to achieve better vaccination coverage rates.

This study was designed to determine the drivers associated with HPV vaccination in the region of Valencia (Spain), and to ascertain whether there was a major determining factor in order to carry out more effective interventions to improve vaccination rates.

Subjects, material and methodsDesign

We conducted an observational, and cross-sectional study in adolescent girls and their parents of Valencia (Spain) between September 2011 and June 2012.

Sample size and population

A randomized and stratified selection of schools in the region of Valencia was made, according to funding (public, private or charter school) and geographic location (rural, semirural or urban). This cohort was in the post-vaccination school year and should have received the vaccine during the previous year. We included their mothers (otherwise, fathers or legal guardians) since, in most cases, they had the last word in the decision to vaccinate.

We estimated the prevalence of 70% population adolescent girls vaccinated. We assumed a population of 9,506, with a Type I error (alpha risk) of 0.05, an accuracy of 5% and a dropout rate of 50%. We therefore calculated a sample size of 1,230 girls and respective mothers for our study. Sample size was undertaken using Epidat 3.1.

Measuring instruments and study variables

An envelope with a questionnaire, an information sheet and a parental consent form was given to each girl, which was later returned to the schools. After checking the consent form, we interviewed the girls at the school to guarantee the correct development and understanding of each part of the questionnaire. Before data collection, the research team had carried out a pilot study in the school of a low-income area to assess comprehension difficulties of the questionnaire, as well as the correct data collection procedure.

All families that expressed their refuse to participate were excluded of the study.

The variables collected comprise:

  • Socio-demographic characteristics included were country of origin, if the girls lived with their parents, parents’ occupation, and religion, if any.

  • Health status and use of health resources included were about how many times they saw their primary care physician or nurse every year, as well as if they suffered from any diseases or were undergoing any tests (gynaecology related or in general). We also included their, as well as their friends’, attitudes towards vaccines in general, and the advice they received from their community nurse or doctor about vaccination.

  • Regarding drug use and risk perception included were about consumption of alcohol, tobacco, cannabis, 3,4-methylenedioxymethamphetamine (MDMA) or cocaine, as well as the frequency of use. They were also asked about how concerned they were regarding issues like traffic accidents, domestic or work-related accidents, cancer, depression, self-esteem problems, sexual transmitted diseases, or new epidemics, among others.

  • Concerning their knowledge about HPV and its vaccine, we inquired if they knew where the HPV infection produces cancer, as well as how it was transmitted, ways to avoid it and if they knew about any relatives who had suffered from cervical cancer or if they had been vaccinated. We also asked about their risk perception and how they were informed about HPV and its vaccine, and whether they had discussed their doubts with their friends.

  • Finally, they were asked whether they received the vaccine (or, when asking the mothers, whether their daughters did), whose decision it was, and their reasons for not receiving it (if non-vaccinated).

We considered those cases valid where mothers and daughters replied and had consent forms signed.

To avoid response bias and determine the variable ‘vaccination status’ with reliability, we checked the mother and daughter's answers against the Nominal Vaccine Register (NVR) of the Public Health Department, where all the doses administered in the Regional Health System are registered (date, batch, injection site, name of healthcare professional and primary health centre). We found no discrepancy in the ‘Vaccination Status’.

We considered a ‘vaccination status’ to be positive when three doses were administered and registered in the NVR, even if mothers and daughters’ answers did not always coincide. In contrast, a ‘vaccination status’ was negative when the NVR and the mothers, or when the NVR and the girls, both stated that the three doses of the vaccine had not been administered; or when the mothers, daughters and the NVR coincided in not having the three doses.

An uncertain ‘vaccination status’ was that which did not respond to any of the above and those cases were excluded from the multivariate study.

Statistical analysis

Descriptive statistics data are presented as means and standard deviation for continuous variables. The multivariate analysis, first analysing each variable with the vaccination status individually, and later using a binary logistic regression to find the association of each variable with the vaccination status. For the selection of variables of the predictive model we used significance, suitability and opportunity criteria of each of them, following a logistic regression, adjusting the baseline parameters and without forcing the order of the selected variables. Confidence intervals (CI) were calculated for a confidence level of 95%, and p <0.05 was considered statistically significant. Statistical analysis was undertaken using SPSS (version 22; SPSS, Inc. an IBM Company, Chicago, Illinois, USA).


The study was conducted according to the principles included in the Helsinki Declaration. The study was approved by the Committee on Research - Ethics Committee of the Conselleria d’Educació (Generalitat Valenciana) in May 2011. All participants were provided full information to consider on the nature of the study, voluntary participation, and confidentiality.


A questionnaire was distributed among 1,278 girls and their mothers, and we obtained 833 adequate answers (64.5%; 95%CI: 61.9-67.1). We chose a sample of 37 schools but only 31 participated (83.8%; 95%CI: 69.9-97.7), either because they were not given authorization by the parent school governing body (n=4) or due to school program issues (n=2).

From the descriptive analysis of the girls’ socio-demographic and family profile (Table 1), we found that 86.1% (95%CI: 83.7-84.8) of the girls were born in Spain, 79% (95%CI: 76.2-81.8) lived with both parents and 85.5% (95%CI: 83.2-88.0) had siblings. Regarding religion, 76.5% mothers and 66.4% daughters were believers, while 46.5% and 30%, respectively, were practicing individuals.

Table 1.

Socioeconomic status: sociocultural and family variables.

Mothers’ marital status
Married or attached  692  83.2%  (80.6- 85.7) 
Living alone  140  16.8%  (14.3- 19.4) 
Mother's/father's/guardian's age
25-30  0.1%  (0.00- 0.40) 
31-40  146  17.6%  (15.0- 20.2) 
41-50  607  73.0%  (70.0- 76.1) 
51-60  72  8.7%  (6.80- 10.6) 
+60  0.6%  (0.10- 1.10) 
Mother's level of education
Primary  273  32.8%  (29.6- 36.0) 
Secondary  141  16.9%  (14.4- 19.5) 
V/T or CC  169  20.3%  (17.6- 23.0) 
Undergraduate  107  12.8%  (10.6- 15.1) 
University  143  17.2%  (14.6- 19.7) 
Country of origin
Spain  689  83.1%  (80.6- 85.7) 
Other  140  16.9%  (14.3- 19.4) 
Mothers’ religious practice
Regular practice  169  20.3%  (17.6- 23.0) 
Occasional practice  218  26.2%  (23.2- 29.2) 
Believer  250  30.0%  (26.9- 33.1) 
Atheist  162  19.4%  (16.8- 22.1) 
No answer  82  9.8%  (7.80- 11.9) 
Girls and siblings
With siblings  713  85.5%  (83.2- 88.0) 
Without siblings  120  14.9%  (12.0- 16.8) 
Girls living with
Both parents  658  79.0%  (76.2- 81.8) 
Separated mother or widow  155  18.6%  (16.0- 21.3) 
Separated father or widower  1.0%  (0.30- 1.60) 
Grandparents  0.4%  (0.00- 0.90) 
Others  1.0%  (0.30- 1.60) 
Mother's occupation
Graduates or managers  204  28.7%  (24.2- 30.6) 
Admin/self-employed  100  22.6%  (11.0- 15.9) 
ML qualified  97  23,5%  (10.6- 15.4) 
ML semi-qualified  33  5.0%  (3.00- 5.90) 
ML non-qualified  311  13,2%  (38.2- 45.3) 
Girls’ place of birth
Spain  717  86.1%  (83.7- 84.8) 
Other  116  13.9%  (11.6- 16.3) 
Girls’ religious practice
Regular practice  117  14.0%  (11.7- 16.4) 
Occasional practice  133  16.0%  (13.5- 18.5) 
Believer  303  36.4%  (33.1- 39.6) 
Atheist  215  25.8%  (22.8- 28.8) 
No answer  65  7.8%  (6.00- 9.60) 

CC: community college; 95%CI: 95% confidence interval; ML: manual labor; V/T: voc/tech inst.

Regarding the multivariate analysis (Table 2), from 833 cases, 73 (8.7%; 95%CI: 6.8-10.6) were excluded due to uncertain vaccination status. A total of 566 cases (74.5%; 95%CI: 71.4-77.6) were positive vaccinations and 194 (25.5%; 95%CI: 22.4-28.6) were negative vaccinations.

Table 2.

Binary logistic regression model results (n=833).

Variables  Answers  aOR  (95%CI) 
Mother's country of origin
  Foreign (vs. Spanish)  0.042  0.49  (0,24-0,98) 
Mother's marital status
  Married  0.058   
  Separated  0.016  0.33  (0.13-0.81) 
  Widow  0.119  15.38  (0.49-480.2) 
  Divorced  0.692  1.23  (0.44-3.40) 
  Single  0.143  0.27  (0.05-1.56) 
  Attached  0.478  0.58  (0.13-2.58) 
Knowledge about how to avoid HPV infection
  I do not know  0.100   
  Yes, it can be avoided  0.474  0.76  (0.36-1.62) 
  No, it cannot be avoided  0.114  1.56  (0.90-2.72) 
The source of information about HPV and vaccine was the physician
  No  0.048   
  Yes  0.048  1.72  (1.01-2.94) 
The source of information about HPV and vaccine was the nurse
  No  0.048   
  Yes  0.048  1.83  (1.01-3.35) 
The source of information about HPV and vaccine was their friends
  No  0.003   
  Yes  0.003  0.43  (0.24-0.77) 
Has read about the vaccine from information leaflets
  Yes vs. no  0.002  2.32  (1.37-3.92) 
Girls’ perception about the vaccine
  Very good vaccine to prevent cervical cancer  <0.001   
  Very good vaccine for cancer, but has side effects  <0.001  0.14  (0.08-0.25) 
  Good vaccine, but I am afraid because it hurts  <0.001  0.15  (0.06-0.35) 
  Good vaccine for a disease I will not suffer from  <0.001  0.01  (0.00-0.05) 
In the last year has attended the nurse's clinic in the community healthcare centre
  Never  0.017   
  Once  0.352  0.75  (0.42-1.37) 
  More than once  0.025  2.12  (1.10-4.07) 
Regarding advice given by their nurse (or their physician)
  I have not spoken to them  <0.001   
  I have been advised to have the vaccine  <0.001  6.57  (3.19-13.56) 
  I have been told to decide for myself  0.433  0.75  (0.36-1.56) 
  I have been advised not to have/delay the vaccine  <0.001  0.05  (0.01-0.22) 

aOR: adjusted odds ratio; 95%CI: 95% confidence interval.

Sixty-five variables were selected from a total of 155 to be included in the logistic regression model (40 variables from the girls’ questionnaire and 25 from the mothers’). The final logistic regression model included 84.5% of the cases, with 0.4 Cox & Snell and, 0.6 Nagelkerke coefficients. The success rate in the model prediction in vaccinated cases was 92.1% and 74.6% in non-vaccinated cases (global 87.9%).

After controlling for the covariates included, the multivariate model showed that the main factors associated with the HPV vaccination were the origin of the families (adjusted odds ratio [aOR]: 0.49; p=0.04), the civil status of the parents (aOR: 0.33; p=0.01), knowledge/beliefs about the vaccine when the source of information was the nurse (aOR: 1.83; p=0.048), the information source about the vaccine (aOR: 2.32; p=0.002), preventive healthcare centre visits (aOR: 2.1; p=0.02) and nurse advice (aOR: 6.6; p <0.001).


This was one of the most comprehensive randomized study carried out in Spain. It had a large sample size and a data collection period of eighteen consecutive months. It focused on the drivers associated with HPV vaccination in order to carry out more effective interventions to improve vaccination rates.

We observed that 74.5% of girls were vaccinated, with a vaccination rate slightly higher than that published by the Public Health Department that year (66.5%), probably because the profile of the analysed cases which did not answer the questionnaire or the profile of the excluded cases, responded to a slightly less vaccinated group than that included in the analysis. However, when comparing the resulting sample with the socio-demographic, cultural and family profile of the general population6 we can observe similar profiles. The sampling bias is thus compensated and it is considered representative.

The main drivers associated with vaccination were:

  • Country of origin of the mothers: the mothers’ country of origin as a determining factor for vaccination, has been associated, in the literature, with the difference between native groups versus immigrant groups, possibly due to cultural beliefs.16 The same occurs with cervical screening, since immigrant women do not undergo as many smear tests as native women.17 One may also associate these differences with the socioeconomic status of immigrant families and not just with their cultural beliefs.18 However, this is not the case here as there is free access to the HPV vaccine in Valencia. Therefore, we consider the difference to be due to the existence of a cultural barrier.

  • Marital status of the parents: the girls whose parents were separated were vaccinated less often than those living in a traditional family. This highlights the health protection a traditional family grants versus less conventional family models.19

  • Knowledge about how to avoid HPV infection: knowledge and beliefs about HPV vaccine can influence the vaccination decision directly. However, a reason they are a determining factor is due to the perception of safety and efficacy that these knowledge or beliefs give the individual when making a decision.20

  • Information source about HPV infection and vaccine: the source of information about the vaccine is also important. Information leaflets issued by local authorities were a positive factor for vaccination, although there are studies that show that television advertising was positively linked to vaccination in young girls, as well as internet information, which also had a strong influence in adolescent girls over eighteen years old.21

  • Knowledge about the vaccine from information leaflets: it was generally stated that most girls and mothers who had some information about HPV vaccine had seen it in leaflets issued by the local health authorities.14,19,20 It seems reasonable to affirm that the information campaign carried out among the target population was effective.

  • Girls’ perception of the vaccine: the girls’ health habits were the same as those of the general population, as seen in the Health Survey of the Valencian region of that year (2011).22 It needs to be emphasized that girls who were less prone to drinking alcohol, or never tried it, had a lower vaccination rate than the rest. Perhaps, girls with a cautious attitude towards alcohol had a lower risk perception about HPV infection. We can consider that a more conservative profile was linked to less risky actions, and mothers and daughters had an overall lower risk perception.

  • Use of healthcare system resources: preventive visit to their community nurse: as seen in different studies,23,24,26 girls who visited their community nurse several times in the last year had a higher vaccination rate than those who did not go to their healthcare centre.

  • Advice from a nurse or physician: this linear correlation seems based on the importance of the health professional's advice, where the nurse plays an essential role in the health system.24,25 Nurses, as well as doctors, lead the health processes of healthcare users, and their advice definitely influences vaccination.23,26 However, this influence is not always positive. Without a doubt, the main determining driver of the analysis was the healthcare professional's advice, mainly nursing staff, as they are the ones directly involved in the vaccination process. The nurses who endorsed the vaccine obtained significant results. The results were equally significant when they advised against vaccination. Many studies have shown the strong influence that this recommendation can have on parents and patients when deciding whether or not to have a vaccine.8,12,13,26 Therefore, adequate training and information of healthcare professionals directly involved in vaccination endorsement, particularly nurses, could improve HPV vaccine acceptance. For this reason, all the actions aimed at training healthcare professionals in detecting the cases which are less likely to be vaccinated and aimed at reminding patients about the link between HPV chronic infection and cervical cancer, as well as vaccine safety and efficacy, would help to decrease HPV infection and increase vaccine coverage.27,28

Of all the factors associated with vaccination, advice from the nurse together with their physician's advice was the main determining driver. Therefore, it is essential that healthcare professionals are adequately trained to inform patients about HPV infection and vaccination. Interventions aimed at increasing vaccine coverage should be focused on raising nurses’ and doctors’ HPV awareness in order to improve the health of adolescent girls.

Editor in charge

Enrique Castro Sánchez.

Transparency declaration

The corresponding author on behalf of the other authors guarantee the accuracy, transparency and honesty of the data and information contained in the study, that no relevant information has been omitted and that all discrepancies between authors have been adequately resolved and described.

What is known about the topic?

HPV vaccine coverage is an important public health concern and understanding the reasons for accepting or rejecting vaccination is essential for increasing compliance.

What does this study add to the literature?

The advice from the nurse and physician is the main determining driver associated with VPH vaccination. To improve the HPV vaccine coverage in adolescent girls it is essential that healthcare staff are adequately trained when it comes to HPV infection and vaccination.

Authorship contributions

All authors were involved in writing the manuscript and approve of its final version.



Conflicts of interest


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