Literature DB >> 34714712

Sociodemographic determinants of catch-up HPV vaccination completion between 2016-2019 in Norway.

E Van Boetzelaer1,2, A Daae1, B A Winje1, D F Vestrheim1, A Steens1, P Stefanoff1.   

Abstract

Between 2016 and 2019, a catch-up human papillomavirus (HPV) vaccination took place in Norway for women born between 1991 and 1996. The aim of this study was to identify sociodemographic determinants of complete vaccination (3 doses) and partial vaccination (1-2 doses). A random sample of 10,000 women who were offered catch-up HPV vaccination were invited. We assessed the association between sociodemographic characteristics and vaccination completion using univariable and multivariable multinomial logistic regression.Of 4,967 respondents, 3,464 (63%) received complete vaccination and 298 (7%) received partial vaccination. 30% did not receive any vaccination and functioned as reference group. Compared with having Norwegian caregivers, having a caregiver from non-western countries decreased the odds of partial and complete vaccination (aOR = 0.57; 95%CI = 0.35-0.95 and aOR = 0.57; 95%CI = 0.44-0.74). Having a caregiver from other western countries decreased the odds of complete vaccination (aOR = 0.72; 95%CI = 0.52-0.98). Residing in Norway for 10 years or longer significantly increased the odds of complete vaccination (aOR = 2.65; 95%CI = 1.58-4.43). Being in a relationship significantly increased the odds of partial vaccination compared with being single (aOR = 1.50; 95%CI = 1.02-2.21). Being married (aOR = 0.66; 95%CI = 0.50-0.86) and having children (aOR = 0.53; 95%CI = 0.42-0.68) decreased the odds of complete vaccination. Having university education increased the odds of both partial and complete vaccination (aOR = 2.19; 95%CI = 1.47-3.25 and aOR = 4.11; 95%CI = 3.33-5.06).Having a caregiver born outside of Norway, having children and being married decreased the odds of receiving complete HPV vaccination. This highlights the need to target communication around HPV vaccination toward different ethnic communities and include more specific messaging that having children and being married does not necessarily prevent HPV infections.

Entities:  

Keywords:  Papilloma virus infections; adolescent vaccination; cross-sectional studies; human papillomavirus; immunization programs; marital status; sociodemographic determinants; vaccination; vaccination initiation

Mesh:

Substances:

Year:  2021        PMID: 34714712      PMCID: PMC8920134          DOI: 10.1080/21645515.2021.1976035

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN: 2164-5515            Impact factor:   3.452


Introduction

Human papillomavirus (HPV) infections are the most common sexually transmitted viral infections among young women.[1] While most HPV infections are self-limiting, prolonged infection with carcinogenic types increases the risk of cell changes that can lead to pre-stages of cervical cancer. HPV types 16 and 18 especially are carcinogenic strains responsible for approximately 70% of cervical cancer worldwide.[2] The age-standardized incidence rate of cervical cancer in Europe varies widely by country (between 3 and 25 per 100,000 women-years).[3] The incidence rate in Norway was 10.7 per 100,000 women-years in 2018. Over the past two decades, different vaccines have been developed that protect against HPV types 16 and 18 with high clinical efficacy (93–99%).[2] Many countries, including Norway, implement a 3-dose HPV vaccination schedule, despite some indications that a 2-dose and even 1-dose schedule may have high efficacy. Some authors, however, have expressed concerns regarding the long-term protection offered by less than 3 doses of the HPV vaccine.[4] HPV vaccines only protect against the types of HPV with which a person has not yet been infected.[5] In 2009, Norway included HPV vaccination in the national childhood immunization program. HPV vaccination was routinely offered only to girls in the seventh grade (12–13 years of age), as of birth cohort 1997 and later.[6] HPV vaccination uptake increased from 72.5% in 2009 to 87.3% in 2014.[7] In 2016, the Norwegian authorities organized catch-up vaccination for young women who were born between 1991 and 1996 and for those who missed the opportunity to access HPV vaccination through the childhood immunization program.[8] This campaign was coordinated by the Norwegian Institute of Public Health (NIPH), which was responsible for the organization and communication regarding the catch-up vaccination at a national level. The vaccination for persons above the age of 14 consists of three doses given over a period of 6–12 months. Municipalities were responsible for the actual implementation of the catch-up HPV vaccination, to achieve the highest possible vaccination coverage.[9,10]To raise awareness of women born in 1991 and later about HPV and the free HPV vaccination, NIPH developed a targeted communication strategy. The communication strategy consisted of different integrated communication measures, including social media campaigns (Facebook, Instagram and Snapchat), text messages, brochures and posters. In addition, a webpage was established for health professionals and women in the target group on the institutional website. In this publication, we aimed to identify sociodemographic determinants of complete vaccination (3 doses) and partial vaccination (1–2 doses) amongst young women who were invited for the catch-up HPV vaccination. A separate publication focuses more on the organizational aspects of the catch-up HPV vaccination campaign and whether those were determinants of complete and partial vaccination.[11]

Materials and methods

Study design

NIPH and Statistics Norway (SSB) conducted a nationwide cross-sectional population-based survey among women who had been offered catch-up HPV vaccination. Respondents provided informed consent before participation and the study followed requirements of the Personal Data Act. NIPH did not have access to personal identifiable information.

Study participants

Eligible women were those born between 1 January 1991 and 31 December 1996 who were invited for catch-up HPV vaccination between 1 November 2016 and 30 June 2019. All study participants consented to study participation. Eligible women who did not consent to study participation or whose vaccination status was not reported were excluded.

Sampling and invitation

In Norway, every citizen has a unique personal identification number, which is stored in the centralized Norwegian Population Register. The Norwegian Population Register holds sociodemographic information of registered citizens, including age, sex, location of birth and residence, education and income levels and civil status. The register is deemed to be comprehensive, since it is not possible to reach administrative governmental services without the personal number. SSB selected a random sample of 10,000 from all eligible women and sent invitation e-mails and SMS-messages with a link to the questionnaire. Invitations were sent within three months after the last day of the catch-up campaign. SSB sent reminder SMS messages on day 2 or 3 and 10. On day 8 a reminder SMS message and e-mail were sent.

Data collection

Data collection was web-based and took place between 23 September and 6 October 2019 and was conducted by SSB. Internal SSB ethical clearance procedures were followed. The web-based questionnaire was available in Norwegian. Filling out the questionnaire took approximately 8 minutes. An English translation of the questionnaire can be found in Appendix A. SSB collected informed consent from all participants prior to enrollment. Informed consent was collected as the first part of the web-based questionnaire. Sociodemographic data was available from the population register and was linked to the questionnaire by the unique personal identification number.

Measurements and outcomes

The outcome was self-reported vaccination completion during the catch-up campaign. The variable was divided into three levels: (i) No HPV vaccination: woman who did not receive any dose, (ii) Partial HPV vaccination: woman who received one or two doses and (iii) Complete HPV vaccination: woman who received three doses. Sociodemographic variables included age, region of residence, education level, country of origin, duration of residence in Norway, marital status, having children and household income. The country of origin and duration of residence in Norway of caregivers were also included. These variables were included based on literature review prior during the survey design phase. Level of education was measured by asking study participants about the highest level of education they had completed. Educational level was classified into three categories: no education/primary education, secondary education and college/university education. Region of birth was captured automatically from the population register for both study participants and their caregivers (i.e. legal guardians): Norway or EU/USA/Canada/Australia/New Zealand or Asia/Africa/Latin America/Oceania/Europe outside EU. Caregivers’ country of origin was classified as foreign if at least one caregiver did not originate from Norway. The duration of residence in Norway was only recorded if one had another country of origin than Norway. The marital status, household income after tax and whether the study participant had children was determined at the time of survey administration by SSB.

Analysis

We described study participants, applying sampling weights considering education level, country of origin and age of the study participants using the Survey command in STATA version 16 (StataCorp. 2019. Stata Statistical Software: Release 16. College Station, TX: StataCorp LLC). We assessed the association between sociodemographic characteristics and self-reported completion of HPV vaccination, using univariable and multivariable multinomial regression analyses. For the multinomial analyses, no HPV vaccination was used as the reference group for the partial and complete vaccination groups. Those with missing data were not included in the analysis of the variable with the missing data. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) as measures of association in the multinomial univariable analyses. For the multivariable analyses we calculated adjusted ORs (aOR) and 95% CI (see Table 2 for which variables were included in the adjusted analysis). The statistical significance (p-values) of the above-investigated associations was compared between those who received partial or complete HPV vaccination, to those who were not vaccinated using logistic regression.
Table 2.

Sociodemographic characteristics of women who were offered free catch-up HPV vaccination in Norway between 1 November 2016 and 30 June 2019, with those not receiving any vaccination as reference group

 Partial vaccination (N=298)
Complete vaccination (N=3,464)
Univariable analysis
Multivariable analysis
Univariable analysis
Multivariable analysis
OR95% CIpaOR95% CIpOR95% CIpaOR95% CIp
Country of origin (study participant) (n=4,961)  .186  .517  <.001***  .231
NorwayRef.Ref.
EU, USA, Canada, Australia, New Zealand0.750.44-1.29 1.190.57-2.49 0.400.30-0.53 0.710.46-1.10 
Asia, Africa, Latin America, Oceania, Europe (outside EU)0.700.30-0.53 1.530.82-2.86 0.340.27-0.43 0.850.59-1.23 
Duration of residence in Norway for non-Norwegians (study participant) (n=546)  .053  .178  <.001***  <.001***
0-4 yearsRef.Ref.
5-9 years0.640.20-2.02 0.650.19-2.21 1.140.66-1.96 1.410.75-2.67 
10 years or more1.610.94-2.78 1.820.78-4.25 3.992.94-5.41 2.651.58-4.43 
Country of origin (caregivers) (n=4,395)            
Both caregivers from NorwayRef.Ref.
At least one caregiver from EU, USA, Canada, Australia, New Zealand1.050.63-1.75.8400.850.49-1.48 0.810.61-1.06.1280.720.52-0.98 
At least one caregiver from Asia, Africa, Latin America, Oceania, Europe (outside EU)0.680.44-1.05.0790.570.35-0.95.038*0.550.44-2.85<.001***0.570.44-0.74.031*
Region of residence (n=4,967)  <.001***  .005**  <.001***  <.001***
Akershus og OsloRef.Ref.
Hedmark og Oppland0.380.20-0.74 0.380.19-0.77 0.750.57-0.99 0.870.64-1.18 
Østlandet ellers0.420.28-0.64 0.470.30-0.73 0.660.55-0.81 0.840.68-1.05 
Agder og Rogaland0.770.52-1.15 0.870.58-1.32 0.930.75-1.15 1.190.94-1.51 
Vestlandet0.800.54-1.18 0.900.60-1.35 1.190.96-1.46 1.451.15-1.83 
Trøndelag0.820.51-1.33 0.960.58-1.58 1.401.08-1.80 1.741.32-2.31 
Nord-Norge0.720.44-1.17 0.840.50-1.39 0.920.71-1.19 1.190.90-1.58 
Marital status (n=4,967)  .023*  .094  <.001***  .007**
SingleRef.Ref.
In a relationship1.521.04-2.22 1.501.02-2.21 1.120.92-1.37 1.110.90-1.38 
Cohabitating1.250.91-1.72 1.370.97-1.93 0.830.71-0.97 0.940.78-1.12 
Married0.780.50-1.21 0.960.57-1.61 0.370.30-0.47 0.660.50-0.86 
Separated0.330.04-2.53 0.600.07-4.79 0.130.05-0.33 0.420.15-1.19 
Children (n=4,967)  .006**  .212  <.001***  <.001***
Yes0.670.50-0.89 0.970.63-1.87 0.360.31-0.42 0.530.42-0.68 
NoRef.Ref.
Highest completed education (n=4,967)  <.001***  <.001***  <.001***  <.001***
PrimaryRef.Ref.
Secondary1.300.87-1.94 1.200.79-1.81 1.811.48-2.20 1.641.33-2.03 
University or college2.481.71-3.60 2.191.47-3.25 4.573.77-5.52 4.113.33-5.06 
Household income after tax (in NOK) (n=4,872)  .080  .474  <.001***  .136
P10 214000Ref.Ref.
P20 2660000.590.38-0.93 0.680.43-1.09 0.540.43-0.68 0.740.58-0.94 
P30 3050000.660.40-1.09 0.820.49-1.38 0.610.47-0.78 0.890.67-1.17 
P40 3390000.630.37-1.05 0.680.40-1.16 0.600.46-0.78 0.740.56-0.99 
P50 3720000.540.31-0.94 0.600.34-1.05 0.600.47-0.79 0.760.57-1.01 
P60 4080000.730.42-1.27 0.680.39-1.23 0.870.66-1.15 0.920.68-1.24 
P70 4500000.750.42-1.34 0.800.44-1.45 0.990.74-1.32 1.100.81-1.50 
P80 5070000.860.52-1.42 0.830.49-1.40 0.740.57-0.98 0.760.56-1.01 
P90 6060001.000.59-1.70 0.970.56-1.67 0.960.71-1.28 0.940.69-1.29 
P100 >6060011.390.78-2.46 1.270.70-2.28 0.870.61-1.24 0.810.55-1.17 
Age0.990.92-1.07.8201.000.92-1.09 0.950.91-0.98.005**0.990.94-1.03.570

No vaccination = reference group.

Ref. = reference group per variable.

*significant at p < .05.

**significant at p < .01.

***significant at p < .001.

Results

Response proportion

Of all invited women, 5,033 women (50.3%) completed the questionnaire. Information on vaccination completion was missing for 66 study participants. Therefore, data from 4,967 study participants (49.7%) were included in the analyses. Compared to study participants, descriptive data on non-responders showed a higher proportion who only completed primary education (non-responders: 22%, 1,093/4,967; responders: 12.5%, 629/5,033) and whose country of origin was not Norway (non-responders: 26.8%, 1,331/4,967; responders: 11.5%, 579/5,033) (Appendix B).[10]

Sociodemographic determinants of self-reported HPV vaccination completion

Overall, 63.4% (95%CI = 61.6–65.1) reported having completed the HPV vaccination schedule, 30.2 (95%CI = 28.5–31.9) reported not having received any HPV vaccination and 6.5% (95%CI = 5.7–7.5) reported having received the first doses, but not completed the full vaccination schedule. Several characteristics were independently associated (either positively or negatively) with being partially vaccinated compared to those not vaccinated (Table 1). Having at least one parent from Asia, Africa, Latin America, Oceania or Europe outside of EU (aOR = 0.57; 95% CI = 0.35–0.95; p = .038) and residing in Hedmark og Oppland county (aOR = 0.38; 95% CI = 0.19–0.77; p = .005) or Østlandet ellers county (aOR = 0.47; 95% CI = 0.30–0.73; p = .005) decreased the odds of partial vaccination. Being in a relationship (aOR = 1.50; 95% CI = 1.02–2.21; p = .094) and having completed university or college (aOR = 2.19; 95% CI = 1,47–3.25; p < .001) increased the odds of partial vaccination.
Table 1.

Characteristics of study participants: women born between 1991 and 1996 who were offered free catch-up HPV vaccination between 1 November 2016 and 30 June 2019 in Norway (N = 4,967)

 No vaccination
Partial vaccination
Complete vaccination
 Sample
Weighted % (95% CI)
Sample
Weighted % (95% CI)
Sample
Weighted % (95% CI)
 n%n%n%
Overall1,20524.330.2 (28.5-31.9)2986.06.5 (5.7-7.5)3,46469.763.4 (61.6-65.1)
Country of origin (study participant) (n=4,961) 
Norway97322.024.1 (22.8-25.5)2555.85.8 (5.1-6.5)3,19372.270.1 (68.7-71.5)
EU, USA, Canada, Australia, New Zealand8640.039.8 (33.4-46.5)177.98.0 (5.0-12.5)11252.152.2 (45.6-58.9)
Asia, Africa, Latin America, Oceania, Europe (outside EU)14243.743.9 (38.6-49.4)2688.1 (5.6-11.6)15748.348.0 (42.6-53.4)
Duration of residence in Norway for non-Norwegians (study participant) (n=546) 
0-4 years9951.350.9 (43.8-57.9)168.38.1 (5.0-12.9)7840.441.1 (34.3-55.4)
5-9 years3950.050.7 (39.7-61.7)45.15.1 (1.9-12.9)3544.944.2 (33.6-55.4)
10 years or more9434.233.9 (28.5-39.8)238.48.8 (5.9-12.9)15857.557.3 (51.3-63.1)
Country of origin (caregivers) (n=4,395) 
Both caregivers from Norway76920.922.6 (21.2-24.1)2075.65.5 (4.8-6.3)2,70373.571.9 (70.3-73.4)
At least one caregiver from EU, USA, Canada, Australia, New Zealand7727.732.7 (25.8-40.5)207.29.1 (5.4-15.1)18165.158.2 (50.4-65.6)
At least one caregiver from Asia, Africa, Latin Americ,a Oceania, Europe (outside EU)15435.240.8 (35.3-46.6)276.27.2 (4.7-11.0)25758.751.9 (46.3-57.6)
Region of residence (n=4,967) 
Akershus og Oslo3422329.1 (26.1-39.3)1147.77.8 (6.2-9.8)1,03069.363.1 (59.8-66.3)
Hedmark og Oppland8729.632.5 (26.4-39.3)113.76.0 (3.0-11.7)19666.761.5 (54.5-68.1)
Østlandet ellers24131.837.7 (33.4-42.2)344.55.2 (3.4-7.9)48263.757.1 (52.6-61.5)
Agder og Rogaland16724.730.2 (25.9-35.0)436.46.5 (4.5-9.2)46568.963.3 (58.5-67.8)
Vestlandet16920.728.1 (24.1-32.5)455.57.0 (5.0-9.8)60473.864.9 (60.4-69.1)
Trøndelag9518.325.4 (20.6-30.9)2654.3 (2.9-6.3)39976.770.4 (65.0-75.3)
Nord-Norge10424.927.4 (22.5-32.8)2566.2 (3.8-9.9)28869.166.5 (60.8-71.7)
Marital status (n=4,967) 
Single34821.627.9 (25.1-30.9)764.75.5 (4.1-7.2)1,18773.766.6 (63.5-69.6)
In a relationship18719.425.3 (21.7-29.2)626.46.9 (5.1-9.4)71774.267.8 (63.8-71.6)
Cohabitating46124.428.4 (25.9-31.1)1266.76.8 (5.6-8.3)1,3056964.8 (62.0-67.4)
Married19540.946.4 (40.8-52.0)336.97.7 (5.1-11.6)24952.245.9 (40.4-51.5)
Separated1466.764.0 (38.5-83.5)14.87.3 (1.0-37.6)628.628.7 (11.8-54.8)
Children (n=4,967) 
Yes39540.145.7 (41.9-49.5)737.47.4 (5.6-9.7)51852.547.0 (43.2-50.8)
No81020.426.0 (24.1-27.8)2255.76.3 (5.3-7.4)2,9467467.8 (65.8-69.7)
Highest completed education (n=4,967) 
Primary28245.447.7 (43.3-52.2)416.67.6 (5.4-10.7)2984844.7 (40.3-49.1)
Secondary44132.336.7 (33.6-39.9)836.16.4 (5.0-8.2)84161.656.9 (53.7-60.1)
University or college48216.220.2 (18.3-22.4)1745.86.2 (5.1-7.5)2,3257873.6 (71.3-75.7)
Household income after tax (in NOK) (n=4,872) 
P10 21400031919.826.6 (23.7-29.7)1006.26.8 (5.3-8.6)1,1917466.7 (63.5-69.6)
P20 26600016231.237.9 (32.8-43.3)305.86.7 (4.3-10.3)3276355.4 (50.0-60.7)
P30 30500011128.832.6 (27.0-38.8)2366.0 (3.7-9.5)25165.261.4 (55.2-67.3)
P40 33900010729.136.5 (30.4-43.1)215.76.5 (3.8-10.7)24065.257.0 (50.5-63.3)
P50 3720001062934.3 (28.5-40.7)184.95.8 (3.3-10.0)2416659.9 (53.5-66.0)
P60 4080007922.427.8 (17.9-28.6)185.16.2 (3.6-10.6)25672.566.0 (59.4-72.1)
P70 4500007220.322.8 (17.9-28.6)174.84.8 (2.8-8.1)26674.972.4 (66.5-77.7)
P80 5070008924.726.0 (21.0-31.7)246.77.3 (4.5-11.7)24768.666.7 (60.6-72.3)
P90 6060007020.521.2 (16.5-26.8)226.46.4 (3.9-10.3)25073.172.4 (66.4-77.8)
P100 >6060014621.423.6 (17.5-31.2)209.39.4 (5.6-15.5)14969.366.9 (59.0-74.0)
 Median (range)Median (range)Median (range)
Age (n=4,967)26 (23-28)26 (23-28)26 (23-28)
Characteristics of study participants: women born between 1991 and 1996 who were offered free catch-up HPV vaccination between 1 November 2016 and 30 June 2019 in Norway (N = 4,967) Several characteristics were independently associated (either positively or negatively) with being completely vaccinated compared to those not vaccinated (Table 2). Residing in Norway for 10 years or longer (aOR = 2.65; 95% CI = 1.58–4.43; p < .001), residing in Vestlandet county (aOR = 1.45; 95% CI = 1.15–1.83; p < .001) or Trøndelag county (aOR = 1.74; 95% CI = 1.31–2.31; p < .001), having completed secondary school (aOR = 1.64; 95% CI = 1.33–2.03; p < .001) or university or college (aOR = 4.11; 95% CI = 3.33–5.06; p < .001) increased the odds of complete vaccination. While having at least one parent from outside of Norway (EU, USA, Canada, Australia, New Zealand: aOR = 0.72; 95% CI = 0.52–0.98; Asia, Africa, Latin America, Oceania or Europe outside of EU: aOR = 0.57; 95% CI = 0.44–0.74; p = .031), being married (aOR = 0.66; 95% CI = 0.50–0.86; p = .007) and having children (aOR = 0.53; 95% CI = 0.42–0.68; p < .001) decreased the odds of complete vaccination. Sociodemographic characteristics of women who were offered free catch-up HPV vaccination in Norway between 1 November 2016 and 30 June 2019, with those not receiving any vaccination as reference group No vaccination = reference group. Ref. = reference group per variable. *significant at p < .05. **significant at p < .01. ***significant at p < .001.

Discussion

This survey among young women who were offered catch-up HPV vaccination in Norway, sought to identify sociodemographic determinants of the self-reported decision to complete HPV vaccination. This investigation focused on comparing these determinants between women who did not initiate vaccination (0 doses), those who were partially vaccinated (1–2 doses) and those who were completely vaccinated (3 doses). Young women with at least one caregiver whose country of origin was Asia, Africa, Latin America, Oceania or Europe outside of EU were less likely to receive any dose of HPV vaccination. In the multivariable analysis, the country of origin of caregivers was significantly associated with complete vaccination among study participants, but the country of origin of study participants was not. This could indicate that, despite their adult age, caregivers of young women still played a role in their decision to take the HPV vaccine. This is supported by the analysis of self-reported barriers and facilitating factors in adhering HPV vaccination that was also based on this survey and is described elsewhere.[11] Other studies have also recorded racial and ethnic differences in caregivers’ HPV vaccination acceptability.[12] A recently published study from Norway showed that the increase in HPV vaccination initiation in the routine childhood vaccination program amongst young girls (birth cohorts 1997–2002) varied depending on the country of origin of caregivers.[13] However, a study from the Netherlands did not identify differences between groups.[14] Whereas later studies in the Netherlands identified ethnicity as a determinant of HPV vaccine initiation.[15] Similarly, a Swedish study showed that there was a slight trend for study participants born outside Europe to be less willing to vaccinate their children compared with those born in Sweden (OR: 0.88; 95% CI: 0.69–1.12).[16] Although some barriers to receiving HPV vaccination are likely to be universal, there could be additional barriers that are culturally specific. The sexually transmitted nature of HPV may mean that vaccination may be less acceptable to some religious groups which are represented largely by ethnic minorities,[15,17] likely because of fear that by encouraging their child to get vaccinated, caregivers would promote earlier initiation of sexual activity, or implicitly approve their child’s engagement in sexual activity.[18-21] However, not all studies identified perceived earlier initiation of sexual activity as a barrier to vaccination initiation by caregivers.[22] Women who were not born in Norway but stayed in Norway for 10 years or more were more likely to complete all HPV vaccine doses. Young women residing 10 years in Norway quite certainly went to primary and secondary school in Norway, speak Norwegian and are better integrated with the society.[23] They may have had better access to information and communication campaigns on HPV vaccination and pro-active health seeking behaviors, than women who spent their childhood in their home countries. In addition, women who were in a relationship were most likely to start, but not complete, HPV vaccination. Compared to single women, married women were less likely to complete the full three doses of HPV vaccination. Qualitative focus group discussions prior to the HPV catch-up vaccination already indicated that there was lower acceptability of HPV vaccination among women who were married or had children (6). In the communication campaign, NIPH emphasized the importance of HPV vaccination completion despite marital status. Similarly, other studies have found that unmarried women were more likely to be vaccinated than married women.[24-26] This could be explained by higher perceptions of risk of HPV infection among sexually active young women with multiple sexual partners and the perception that married women with one partner are therefore not at risk.[24,27] Our study showed that young women who had completed university education were more likely to receive vaccination compared to those who completed primary education. This could indicate that information on HPV vaccination was more readily accessible to or more easily to follow by young women with higher education.[28-30] The association between education levels and HPV vaccination acceptability, initiation and completion has been disputed and appears to differ between contexts. Studies from the USA showed that caregivers with lower levels of education reported higher HPV vaccination acceptability.[12] Whereas other studies showed that higher education from caregivers was associated with decreased HPV vaccine acceptability.[16,31,32] We also found important regional differences in completing 3 doses of HPV vaccination, without a consistent pattern. This could indicate that different organization of the catch-up vaccination program in municipalities, such as organizing easily accessible and well-advertised vaccination points, could facilitate completion of full vaccination schedule (7). Finally, we found that low household income was associated with decreased odds of vaccination completion, but not the odds of partial vaccination. Although the odds of vaccination completion seemed to increase with increasing household income, we could not identify a clear trend. This is consistent with the study from Norway that showed that the increase in HPV vaccination initiation in the routine childhood vaccination program amongst young girls increased with household income, which could be explained by a correlation between household income and education level, in which a higher household income and education level could result in increased health literacy and access to information on HPV vaccination (9).[33] Our study has several limitations. First, there was a potential selection bias in study participants as most study participants (69.7%) self-reported to have completed the full schedule (three doses) of HPV vaccination. This was higher than the official figure of 45–50% vaccinated women born between 1991 and 1996 during the catch-up campaign. This means that women with a positive attitude to vaccination were overrepresented. Additionally, descriptive analysis of non-responders showed a higher proportion of women who had not completed any education, or only completed primary education, and whose country of origin was outside of Norway, EU, USA, Canada, Australia or New Zealand compared to study participants. As these factors were associated with lower vaccination initiation, we may even have overestimated partial vaccination. Second, the country of origin of study participants and their caregivers were grouped into three categories, each of which included multiple different regions. Because this categorization was done prior transferring the data to NIPH, we were unable to distinguish between countries of origin, or even regions of origin, and further explore more specific geographic and cultural determinants of self-reported HPV vaccination completion. For example, a recently published study amongst migrants in Norway showed that measles vaccine initiation may differ based on country of origin.[34] Third, all variables, including vaccination status, were self-reported by study participants, which could have led to potential misclassification of vaccination completion. Fourth, self-reported marital status of all study participants was asked at the time of survey administration. Marital status at the time of the catch-up HPV vaccination was only asked to those who were vaccinated. It would have been more informative to know the marital status of the women when the decision was made whether to receive HPV vaccination. However, considering the short delay between the end of the catch-up HPV vaccination and survey administration (less than three months), we do not anticipate any changes in the marital status of study participants. Fifth, study participants were not asked their vaccination date, nor whether they had been exposed to NIPH’s extensive communication campaign. Therefore, we do not know their feedback on the communication campaign, which remains for further exploration after a subsequent catch-up vaccination campaign. Finally, the questionnaire was web-based and available only in Norwegian. Women with less digital competence, with language barrier or limited access to a computer may have decided not to participate. Having a caregiver born outside of Norway, having children and being married decreased the odds of vaccination completion, while longer residence in Norway and higher level of completed education increased the odds of vaccination completion. This highlights the need to target future communication around HPV vaccination toward different ethnic communities and adapt the messages to the context of their country of origin, for example by conducting focus groups or interviews with different target groups to understand differences in attitudes toward HPV vaccination and how to effectively address those. Education materials need to be available in different languages, be adapted to different cultural contexts and include simpler, clear arguments that can reach less educated young women and their caregivers when planning HPV vaccination. Finally, more explicit messaging should be included in future HPV educational campaigns that being married and having children does not prevent HPV infections. Click here for additional data file.
Table B1.

Demographic characteristics of non-responders. Source: SSB

 Non-responders
Age (in years) 
2316.8
2415.7
2515.7
2616.8
2717.4
2817.6
 100,0
Education (completed) 
Primary22.0
Secondary28.8
University or college36.6
Unspecified12.7
 100,0
Country of origin (study participant) 
Norway73.1
EU, USA, Canada, Australia and New Zealand10.4
Other country16.4
Unspecified0.1
Region of residence in Norway 
Akershus og Oslo29.2
Hedmark og Oppland6.4
Østlandet ellers16.6
Agder og Rogaland14.6
Vestlandet15.6
Trøndelag8.5
Nord-Norge9.2
Total4,966
  27 in total

1.  Attitudes to HPV vaccination among ethnic minority mothers in the UK: an exploratory qualitative study.

Authors:  Laura A V Marlow; Jane Wardle; Jo Waller
Journal:  Hum Vaccin       Date:  2009-02-08

2.  Determinants for HPV vaccine uptake in the Netherlands: A multilevel study.

Authors:  Marc Rondy; Alies van Lier; Jan van de Kassteele; Laura Rust; Hester de Melker
Journal:  Vaccine       Date:  2009-12-30       Impact factor: 3.641

3.  Attitudes to HPV vaccination among parents of children aged 12-15 years-a population-based survey in Sweden.

Authors:  Lisen A Dahlström; Trung N Tran; Cecilia Lundholm; Cecilia Young; Karin Sundström; Pär Sparén
Journal:  Int J Cancer       Date:  2010-01-15       Impact factor: 7.396

4.  Use of human papillomavirus vaccines among young adult women in the United States: an analysis of the 2008 National Health Interview Survey.

Authors:  Rebecca Anhang Price; Jasmin A Tiro; Mona Saraiya; Helen Meissner; Nancy Breen
Journal:  Cancer       Date:  2011-07-05       Impact factor: 6.860

5.  Human papillomavirus vaccine acceptability among parents of 10- to 15-year-old adolescents.

Authors:  Kristin Davis; Eileen D Dickman; Daron Ferris; James K Dias
Journal:  J Low Genit Tract Dis       Date:  2004-07       Impact factor: 1.925

6.  Awareness, knowledge, and beliefs about human papillomavirus in a racially diverse sample of young adults.

Authors:  Mary A Gerend; Zita F Magloire
Journal:  J Adolesc Health       Date:  2007-12-21       Impact factor: 5.012

7.  Human papillomavirus: epidemiology and public health.

Authors:  Mark Schiffman; Philip E Castle
Journal:  Arch Pathol Lab Med       Date:  2003-08       Impact factor: 5.534

8.  Human papillomavirus (HPV) awareness and vaccination initiation among women in the United States, National Immunization Survey-Adult 2007.

Authors:  Nidhi Jain; Gary L Euler; Abigail Shefer; Pengjun Lu; David Yankey; Lauri Markowitz
Journal:  Prev Med       Date:  2008-12-06       Impact factor: 4.018

9.  Do parental education and income matter? A nationwide register-based study on HPV vaccine uptake in the school-based immunisation programme in Norway.

Authors:  Berit Feiring; Ida Laake; Tor Molden; Inger Cappelen; Siri E Håberg; Per Magnus; Ólöf Anna Steingrímsdóttir; Bjørn Heine Strand; Jeanette Stålcrantz; Lill Trogstad
Journal:  BMJ Open       Date:  2015-05-19       Impact factor: 2.692

10.  The role of health literacy in explaining the association between educational attainment and the use of out-of-hours primary care services in chronically ill people: a survey study.

Authors:  Tessa Jansen; Jany Rademakers; Geeke Waverijn; Robert Verheij; Richard Osborne; Monique Heijmans
Journal:  BMC Health Serv Res       Date:  2018-05-31       Impact factor: 2.655

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