Literature DB >> 35332045

Impact of a school-based and primary care-based multicomponent intervention on HPV vaccination coverage among French adolescents: a cluster randomised controlled trial protocol (the PrevHPV study).

Aurélie Bocquier1, Morgane Michel2,3, Bruno Giraudeau4, Stéphanie Bonnay5, Amandine Gagneux-Brunon6, Aurélie Gauchet7,8, Serge Gilberg9, Anne-Sophie Le Duc-Banaszuk10, Judith E Mueller11,12, Karine Chevreul2,3, Nathalie Thilly5,13.   

Abstract

INTRODUCTION: Vaccination is an effective and safe strategy to prevent Human papillomavirus (HPV) infection and related harms. Despite various efforts by French authorities to improve HPV vaccine coverage (VC) these past few years, VC has remained far lower than in most other high-income countries. To improve it, we have coconstructed with stakeholders a school-based and primary care-based multicomponent intervention, and plan to evaluate its effectiveness, efficiency and implementation through a cluster randomised controlled trial (cRCT). METHODS AND ANALYSIS: This pragmatic cRCT uses an incomplete factorial design to evaluate three components applied alone or in combination: (1) adolescents and parents' education and motivation at school, using eHealth tools and participatory learning; (2) general practitioners' training on HPV using motivational interviewing techniques and provision of a decision aid tool; (3) free-of-charge access to vaccination at school. Eligible municipalities (clusters) are located in one of 14 preselected French school districts and must have only one secondary school which enrols at least 2/3 of inhabitants aged 11-14 years. A randomisation stratified by school district and deprivation index allocated 90 municipalities into 6 groups of 15. The expected overall sample size estimate is 41 940 adolescents aged 11-14 years. The primary endpoint is the HPV VC (≥1 dose) among adolescents aged 11-14 years, at 2 months, at the municipality level (data from routine databases). Secondary endpoints include: HPV VC (≥1 dose at 6 and 12 months; and 2 doses at 2, 6 and 12 months); differences in knowledge, attitudes, behaviours, and intention among adolescents, parents and general practitioners between baseline and 2 months after intervention (self-administered questionnaires); incremental cost-effectiveness ratio. Implementation measures include dose, fidelity, adaptations, reached population and satisfaction (activity reports and self-administered questionnaires). ETHICS AND DISSEMINATION: This protocol was approved by the French Ethics Committee 'CPP Sud-Est VI' on 22 December 2020 (ID-RCB: 2020-A02031-38). No individual consent was required for this type of research; all participants were informed of their rights, in particular not to participate or to oppose the collection of data concerning them. Findings will be widely disseminated (conference presentations, reports, factsheets and academic publications). TRIAL REGISTRATION NUMBER: NCT04945655. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

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Keywords:  medical education & training; public health

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Year:  2022        PMID: 35332045      PMCID: PMC8948396          DOI: 10.1136/bmjopen-2021-057943

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Vaccine coverage is measured using data collected in routine by the national health insurance and vaccination centres, thus avoiding reporting bias. Few medicoeconomic analyses of interventions on human papillomavirus (HPV) vaccination uptake are available and mostly concern reminder interventions. Assessing impacts on several determinants of vaccination behaviours will help understand how the intervention may promote behavioural change and HPV vaccine uptake. Measures of implementation (dose, fidelity, adaptations, reached population and satisfaction) will help stakeholders decide how the intervention may be replicated or generalised at a national level. Due to feasibility constraints, large French municipalities are not included in the study, and a possible selection bias in the future results cannot be excluded.

Introduction

Human papillomavirus (HPV) infection is the most common viral infection of the reproductive tract, and a major public health issue.1 2 More than 80% of sexually active men and women will acquire HPV by age 45,3 often shortly after the onset of sexual activity.1 Most HPV infections (70%–90%) are asymptomatic and resolve spontaneously.2 However, persistent infections can cause anogenital warts, precancerous lesions of the cervix, vagina, vulva, anus, penis and head and neck, which, if untreated, may sometimes progress to cancers.2 Worldwide, HPV contributed to about 690 000 new cases of cancers in 2018 (ie, 4% of all cancers; women: 620,000; men: 70,000).4 Cervical cancer is by far the most common HPV-related cancer,2 with 7 out of 10 cases caused by two high-risk HPV types (16 and 18).5 It is the fourth most frequent cancer in women worldwide, accounting for 604 127 new cases and 341 831 deaths in 2020 (respectively, 3379 and 1452 in France).6 7 Vaccination is the most effective primary prevention strategy against HPV infection.2 7 It protects against HPV infections, anogenital warts and high-grade precancerous cervical lesions (ie, cervical intraepithelial neoplasia (CIN) 2+ and CIN3+).8–11 After 5–8 years of vaccination, data from 14 countries showed a significant decrease in the prevalence of HPV 16 and 18 infections (−83% among girls aged 13–19 years), anogenital warts diagnoses (−67% and −48% among girls and boys aged 15–19 years, respectively) and CIN2+ (−51% among girls aged 15–19 years), with a greater decrease in countries with both a wider range of targeted age groups and high vaccine coverage (VC).10 More recently, HPV vaccination has been associated with a reduced risk of invasive cervical cancer among Swedish girls/women aged 10–30 years.12 HPV vaccines have an ‘excellent safety profile’ according to the WHO,2 with adverse events generally being non-serious and of short duration. Moreover, a study on postlicensure safety surveillance did not find any association between HPV vaccination and some conditions (eg, autoimmune diseases) that have occurred postvaccination.2 Since 2006, most high-income countries have introduced HPV vaccination in their vaccination schedules for adolescents (for girls only or girls and boys, depending on the country).13 14 In France, HPV vaccination was initially recommended for girls when it was introduced in 2007; in 2021, it was included in the vaccine schedule for all adolescents aged 11–14 years.15 The currently recommended vaccine is the latest nonavalent one (against 6, 11, 16, 18, 31, 33, 45, 52, 58 types) with two injections 6 months apart.15 A catch-up with three injections is possible up to age 19 years. HPV VC varies significantly across high-income countries, from a few percentage points (eg, in Poland, Bulgaria) to 90% (eg, in Norway and Iceland).13 14 Almost 15 years after HPV vaccine introduction in France and despite various efforts by health authorities to improve HPV vaccine uptake,16 17 complete HPV VC remains lower than in most other high-income and European countries,13 14 having been estimated at 23.7% among 16-year girls in 2018.18 In this context, the French Institute for Public Health Research (IReSP) and the theme-based Multi-Organisation Institutes for Cancer and for Public Health (ITMO Cancer and ITMO Public Health) launched in 2018 a national research programme to improve HPV VC among French adolescents. This research programme in epidemiology and social and human sciences is conducted by a consortium of eight French teams (The PrevHPV Consortium—see list in online supplemental table 1) and funded as part of the National Cancer Plan 2014–2019. This programme, called the PrevHPV programme, includes the following three phases. The first ‘diagnostic’ phase (October 2019–March 2021) aimed at exploring knowledge, beliefs, behaviours, practices, barriers, motivations and preferences towards HPV vaccination among four population groups: girls and boys from secondary schools (aged 11–14 years); their parents; staff from schools (eg, teachers, nurses); and general practitioners (GPs). This phase included several quantitative and qualitative surveys, according to a mixed method approach, and manuscripts reporting results are being written (for preliminary results see19 20). The second ‘coconstruction’ phase (October 2019–June 2021) aimed at designing the multicomponent intervention to improve HPV VC. Three components were identified: adolescents’ and parents’ education and motivation at school (component 1); GPs’ training (component 2); and access to vaccination at school (component 3) (see ‘The three components of the intervention’ section). The third ‘experimental’ phase, yet to be conducted (November 2021–May 2022), aims at evaluating the effectiveness, efficiency and implementation of the intervention in France, taking into account its multicomponent structure, through an incomplete factorial design and using cluster randomisation (called the PrevHPV study). The present manuscript describes the protocol of this cluster randomised trial (cRCT) using the ‘Standard Protocol Items: Recommendations for Interventional Trials’ (SPIRIT) statement as a guide21 (see completed SPIRIT checklist in online supplemental table 2).

Methods and analysis

Study organisation

The French National Institute for Health and Medical Research (Inserm) is the sponsor of the PrevHPV study. A scientific and operational committee (called PrevHPV Study Group) is in charge of supervising all scientific aspects and organisational issues occurring during the PrevHPV programme and meets monthly to elaborate, perform and follow the research. This committee comprises the scientific leaders of each of the eight teams involved in the consortium and their staff, and a representative from IReSP and from Inserm. A steering committee is in charge of supervising the progress of all aspects of the PrevHPV programme, and meets once a year. It comprises the scientific leaders of the eight teams, as well as representatives of the following national institutions: Inserm, IReSP, ITMO Cancer AVIESAN, ITMO Public Health AVIESAN, INCa (French National Cancer Institute), Santé publique France (French Public Health Agency), Ministry of Health, Ministry of National Education, and the Ile-de-France Regional Health Agency.

Patient and public involvement

The three components of the intervention (see ‘The three components of the intervention’ section) are developed using results from our diagnostic phase on target populations’ needs. The public (adolescents, parents, GPs and school staff) is involved in the activities/tools development based on a participatory approach in a coconstruction process. As part of the component 1, educational group sessions on HPV infections and vaccination are delivered to pupils by regular school staff. The public is not involved in the design and the recruitment stage of the study.

Study objectives and endpoints

The primary objective of the PrevHPV study is to evaluate the effectiveness of a multicomponent intervention (components being applied in combination or alone) on the HPV VC among adolescents (girls and boys) aged 11–14 years at the municipality (cluster) level. The corresponding endpoint is the HPV VC (≥1 dose) 2 months after the end of intervention’s implementation (ie, the prevalence of adolescents aged 11–14 years who have received at least one dose of HPV vaccine). HPV VC (≥1 dose) at 6 and 12 months, and HPV VC (two doses) at 2, 6 and 12 months are secondary endpoints (table 1).
Table 1

Endpoints of the PrevHPV study

Dimension/measureTarget populationData sourcesTime frame
Vaccine coverage (main objective)
≥1 doseAdolescents 11–14 yearsHealth insurance (SNDS), vaccination centresM2, M6, M12
2 dosesAdolescents 11–14 yearsHealth insurance (SNDS), vaccination centresM2, M6, M12
Knowledge, beliefs, behaviours, practices, intention towards HPV vaccination (secondary objective 1)
Items of the KABP-6C questionnaireAdolescents, parents and GPsSelf-administered online questionnairesBefore intervention, M2
Efficiency (secondary objective 2)
Incremental cost-effectiveness ratioAdolescents 11–14 yearsCosts of the intervention, Health insurance (SNDS), vaccination centresM2, M6, M12
Annual cost and health gains of generalising the component(s) at the national level*Adolescents 11–14 years (whole country)Costs of the intervention, Health insurance (SNDS), vaccination centres/
Intervention components’ implementation (secondary objective 3)
Intervention components’ dose and fidelity: activities performed according to the frame of reference for each component, use of tools developed for each component (assessment of the gap between activities/tools planned and activities/ tools really performed/used)/Regular activity reports collected on a standardised form during components’ implementation
Reached populations: percentage of target individuals who benefit from (or participate in) activities of each component (assessment of the acceptability of each component)Adolescents, parents, school staff and GPsRegular activity reports collected on a standardised form during components’ implementation
Intervention components’ adaptation: components modified to adapt them to the local context/environment of each school/municipality/Regular activity reports collected on a standardised form during components’ implementation
Satisfaction of target populations regarding each activity/component and identification of barriers and levers to components’ implementationAdolescents, parents, schools and vaccination centres’ staff and GPsSelf-administered (paper or online) questionnaires collected at the end of the components’ implementation

*Costs associated with generalising effective component(s) at 1 and 5 years will be compared with the corresponding health gains in terms of size of the vaccinated population (1 and 2 doses).

GPs, general practitioners; HPV, human papillomavirus; KABP-6C, Knowledge, attitude, behaviours, practices and six psychological determinants of vaccination intention (Confidence, Complacency, Constraints, Calculation, Collective responsibility and social Conformism); SNDS, Système National des Données de Santé.

Endpoints of the PrevHPV study *Costs associated with generalising effective component(s) at 1 and 5 years will be compared with the corresponding health gains in terms of size of the vaccinated population (1 and 2 doses). GPs, general practitioners; HPV, human papillomavirus; KABP-6C, Knowledge, attitude, behaviours, practices and six psychological determinants of vaccination intention (Confidence, Complacency, Constraints, Calculation, Collective responsibility and social Conformism); SNDS, Système National des Données de Santé. Secondary objectives are to evaluate: (1) The impact of the multicomponent intervention (components being applied in combination or alone) in target populations (adolescents, parents and GPs) on knowledge, beliefs, behaviours and practices towards HPV vaccination, intention to initiate HPV vaccination and psychological determinants of vaccination intention; (2) the efficiency (cost-effectiveness) and the budget impact of the components and components’ combinations that are effective and (3) the implementation of the components of the intervention, and barriers and levers of implementation at both individual and community level. Endpoints corresponding to secondary objectives are described in table 1.

The three components of the intervention

The intervention comprises three components implemented at a territorial level (a municipality). Components target (1) adolescents aged 11–14 years, who are the target population for HPV vaccination in France, and their parents, who decide whether to vaccinate their child; (2) GPs, who prescribe most HPV vaccines in France,22 and have a fundamental role in patients’ decision-making process towards vaccination.23 Evidence from the literature shows that adolescents’ and parents’ lack of knowledge on HPV infection and vaccine effectiveness and safety are strong barriers to HPV vaccination.23 24 They may also face financial and organisational barriers to HPV vaccination as usual pathway to access vaccination in France is rather complex.14 In general, adolescents and their parents have to take an appointment with a physician to get the vaccine prescription, then go to a community pharmacy to obtain the vaccine, and finally take another appointment with their physician for its administration. Occasionally, individuals may also benefit from vaccination going to hospital vaccination centres, but their geographical accessibility can be difficult. Besides, HPV vaccine is only partially reimbursed by the French national Health Insurance, and some patients may be charged out-of-pocket costs.14 As for GPs, they face difficulties in informing patients on vaccination and need to acquire educational techniques to improve their communication with vaccine hesitant patients.25 Component 1 (‘Adolescents’ and parents’ education and motivation at school’) first includes a webconference on HPV infection and vaccination for parents. Second, adolescents participate during school hours to two educational group sessions on HPV infections and vaccination, using eHealth tools (videos, serious video game) and participatory learning. Component 2 (‘GPs’ training’) consists of an individual e-learning training session including: (1) an updated information on HPV infection and vaccination; (2) an introduction to the use of motivational interviewing techniques in the field of vaccination and (3) a presentation of the decision aid tool developed as part of the intervention. This tool aims at helping hesitant individuals to take a decision about HPV vaccination and will be provided to GPs who have attended to the training. Component 3 (‘HPV vaccination at school’) consists of a vaccination day on school premises where health professionals from local vaccination centres initiate HPV vaccination free of charge and without any medical prescription for all eligible adolescents (see ‘Target populations’ section).

Study design and setting

The PrevHPV study is a pragmatic cRCT,26 using an incomplete factorial design. The unit of randomisation (cluster) is the municipality. The factorial design allows to evaluate the multicomponent intervention taking into account that each component could be applied alone or in combination with other(s) component(s); however, it is incomplete because the PrevHPV Study Group considers that access to vaccination at school (component 3) should not be implemented without prior adolescents’ and parents’ education and motivation (component 1). Eventually, 6 groups are compared in this study (figure 1), and we randomly allocated 15 municipalities to each group.
Figure 1

PrevHPV study flow chart of expected number of participating municipalities. GPs, general practitioners; HPV, human papillomavirus.

PrevHPV study flow chart of expected number of participating municipalities. GPs, general practitioners; HPV, human papillomavirus. Two components (1 and 3) are set in secondary schools, whereas component 2 targets GPs practising in private practice in the participating municipalities. The intervention will be implemented from December 2021 to March 2022 (table 2).
Table 2

The PrevHPV study schedule of enrolment, intervention’s components and endpoints measurements

202120222023
AprilMayJuneJulyAugustSeptemberOctoberNovemberDecemberJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberMarch
Enrolment
Assessment for municipality eligibility
Randomisation (Group Allocation)
GPs information and training proposal
Parents and adolescents information about component(s) performed in their school
Intervention components
Adolescents and parents’ education and motivation (groups 1–4)
GPs’ training (groups 1, 2, 5)
HPV vaccination at school (groups 1, 3)
Endpoints measurements
HPV VC prevalence (groups 1–6)
KABP-6C adolescents and parents (groups 1–6)
KABP-6C GPs (groups 1, 2 and 5)
Costs (groups 1–6)
Implementation measures (groups 1–5)

GPs, general practitioners; HPV, human papillomavirus; KABP-6C, Knowledge, attitude, behaviours, practices and six psychological determinants of vaccination intention (Confidence, Complacency, Constraints, Calculation, Collective responsibility and social Conformism); VC, vaccine coverage.

The PrevHPV study schedule of enrolment, intervention’s components and endpoints measurements GPs, general practitioners; HPV, human papillomavirus; KABP-6C, Knowledge, attitude, behaviours, practices and six psychological determinants of vaccination intention (Confidence, Complacency, Constraints, Calculation, Collective responsibility and social Conformism); VC, vaccine coverage.

Eligibility and allocation of municipalities

Fourteen of the 25 school districts spread over the French territory were first selected by the PrevHPV Study Group together with representatives of the Ministry of National Education to ensure a diversity of geographical, demographic and socioeconomic profiles. Municipalities were eligible if: (1) they were located in one of the selected school districts; (2) there was only one secondary school (for pupils aged 11–14 years) in the municipality; and (3) at least 2/3 of inhabitants aged 11–14 years attended the municipality’s secondary school. Out of 1205 eligible municipalities, we randomly sampled 351 (see details in online supplemental text 1) and contacted the head of the secondary school located in each municipality by mail and by phone to ask him/her to participate in the study. The first 90 municipalities for which the secondary school agreed to participate were included in the study. A block randomisation (block size=6) stratified by school district and French deprivation index (see definition in online supplemental table 3) then allocated the 90 municipalities into six groups (group 1–6) of 15 municipalities (figure 1). This randomisation was performed by a senior researcher of the PrevHPV Study Group not involved in the selection process of the municipalities.

Target populations

For adolescents’ and parents’ education and motivation at school (component 1), the target populations of the intervention are: adolescents attending secondary school in the 60 municipalities from groups 1 to 4 (figure 1) and their parents; for GPs’ training (component 2): GPs’ practising in the 45 municipalities from groups 1, 2 and 5; for access to vaccination at school (component 3): adolescents attending secondary schools of the 30 municipalities from groups 1 and 3, never vaccinated against HPV, ≥11 years old, with no contraindication to vaccination, and whose parents have given their written consent to vaccinate their child. Populations included in the statistical analyses are slightly different (see details in online supplemental table 3).

Data collection

HPV VC (at least 1 dose and 2 doses) at 2, 6 and 12 months after components’ implementation in ad hoc groups will be estimated using data from two sources. The first source is the French health insurance database (Système National des Données de Santé, SNDS). Prospectively recorded for all beneficiaries of healthcare in France, the SNDS covers almost the entire French population (67 million inhabitants).27 This database contains individualised and anonymous data on all medical expenditure reimbursements, and most HPV vaccines in France are delivered in community pharmacies and recorded in the SNDS. The second source of data are registries data from vaccination centres which serve participating municipalities (including the number of vaccines delivered as part of component 3), as vaccines administrated by vaccination centres are not recorded in the SNDS. Some characteristics (eg, age, gender, municipality of residence) of each individual who benefits from a medication reimbursement by the French health insurance or a vaccine administration in a vaccination centre are also recorded, allowing us to estimate an HPV VC prevalence per municipality. Total number of inhabitants aged 11–14 years (denominator) will come from the SNDS. Data necessary to calculate HPV VC before the intervention implementation will also be collected to adjust for baseline VC rate by group in the analyses. Self-administered online questionnaires will be distributed among adolescents attending participating schools, their parents, and GPs located in included municipalities to collect data for the first secondary objective (tables 1 and 2), before and after the components’ implementation in ad hoc groups. Changes in knowledge, beliefs, behaviours and practices, intention to initiate HPV vaccination as well as psychological determinants of vaccination intention based on the ‘6C’ model (Confidence, Complacency, Constraints, Calculation, Collective responsibility and social Conformism)28–30 will be assessed using online KABP-6C questionnaires for adolescents (in-class participation) and parents, linking preassessments and postassessments by anonymous identifiers. Basic demographic and socioeconomic characteristics will also be collected (eg, gender, age, parents’ educational level, and, for GPs, years of experience, type of practice) for each target population. Indicators have been defined to assess the resources (human, material, financial) consumed for the conception and implementation of each component,31 tools used and activities realised, and populations reached by different activities. Data to calculate these indicators will be regularly collected during the study period by the professionals involved (eg, PrevHPV staff, schools’ staff, GPs, vaccination centres’ staff) through activity reports questionnaires (tables 1 and 2). Satisfaction of target populations and involved professionals regarding each activity/tool, as well as barriers identified and levers we may use to implement components will be assessed using self-administered paper or online questionnaires filled out at the end of the implementation phase in groups 1–5. The scientific leaders of the PrevHPV consortium will have access to the final study dataset.

Sample size

For the sample size calculation, we have retained the hypothesis that all adolescents living in a municipality attend the secondary school of this municipality, and used the average number of pupils per secondary school (466, with a coefficient of variation about 0.5, according to data from the Ministry of National Education) as the mean cluster size. The HPV VC (≥1 dose) among all French adolescents is estimated to be at around 8% specifically in the age group of 11–14 years for the two genders,18 knowing that it is close to 0% in boys, for whom it was not included in vaccine schedule until 2021. Considering an intraclass correlation of 0.05, a sample of 15 municipalities per group would be sufficient to detect an increase of 10 percentage points in the VC between two groups, with a 90% power and a 5% α risk. We, therefore, included 90 municipalities, that is, 15 per group, in the PrevHPV study. This corresponds to an expected sample of 41 940 adolescents aged 11–14 years.

Statistical analyses

The PrevHPV Study Group defined a statistical analyses plan. Briefly, it includes the following procedures: A description of the main sociodemographic characteristics (of GPs, of adolescents/parents at the secondary school and municipality levels) overall and per group. A calculation of the HPV VC prevalence (≥1 dose and 2 doses) among adolescents aged 11–14 years at baseline, 2, 6 and 12 months, in each municipality and in each of the six groups. A comparison of HPV VC at different times between groups using a linear model including fixed effects (one per component and interactions between components), adjusted for baseline VC. Units of analysis will be municipalities. Subgroup analyses according the adolescents’ gender and the municipalities’ deprivation index will be performed using interaction terms. For the first secondary objective, scores of knowledge, beliefs, practices and psychological determinants of vaccination intention will be calculated per municipality and per group before and after the intervention, along with the differences between the two measures. The percentage of target individuals (adolescents, parents, GPs) who change positively towards intention/vaccination (ie, unvaccinated people who had no intention to get vaccinated at baseline but who either intend to get vaccinated or initiate the vaccination after the intervention) by municipalities and by groups will also be estimated. The impact of each component and their combination on these variables will then be assessed using a multilevel model that takes into account the hierarchical structure of the data (individuals nested in schools), adjusted for relevant characteristics identified in step (1). The cost-effectiveness analyses will be performed according the French Health High Authority guidelines for economic evaluations32 from an all-payers perspective, with a time horizon of 2 months after the end of the intervention, with secondary analyses at 6 and 12 months. Only direct costs will be considered (costs of component(s), vaccines and medical consultations). The effectiveness criterion will be the difference in HPV VC prevalence (≥1 dose) between baseline and 2 months after intervention. An incremental cost-effectiveness ratio will then be calculated to estimate the incremental cost per increase of 10 percentage points in the VC prevalence for each component as compared with controls and for the component(s) combined to build an efficiency frontier. Deterministic and probabilistic sensitivity analyses will evaluate the robustness of the results. A budgetary impact analysis will then assess the costs associated with generalising effective component(s) at 1 and 5 years, which will be compared with the corresponding health gains in terms of size of the vaccinated population (1 and 2 doses). The time horizon will be too short to assess the impact on cancers and deaths prevented. All analyses will be performed in intention to treat, using SAS V.9.4 or a future version (SAS Institute), R or STATA V.15.1 or a future version.

Ethics and dissemination

This study was granted approval by the French Ethics Committee ‘Comité de Protection des Personnes—CPP Sud-Est VI’ on 22 December 2020 (ID-RCB: 2020-A02031-38). No individual consent was required for this type of research; all participants (adolescents, parents of adolescents and GPs) were informed of their rights, in particular not to participate or to oppose the collection of data concerning them (see information sheets in online supplemental text 2). Findings of this study will be widely disseminated through conference presentations, reports, factsheets and academic publications and generalisation will be further discussed.

Discussion

The PrevHPV study is a pragmatic cluster randomised controlled study included in a major national research programme supported by the French health authorities. Conducted by a multidisciplinary consortium, it aims at evaluating the effectiveness, efficiency and implementation of a multicomponent school-based and primary care-based intervention on HPV vaccine uptake among French adolescents, taking into account the constraints of the environment in which intervention is implemented. This study has several strengths. First, it measures main endpoints (VC) using data collected in routine by the national health insurance and vaccination centres. These data are more reliable than self-reported ones and avoid reporting bias.33 Second, we designed the intervention using results from our diagnostic phase on target populations’ needs, and used a participatory approach in a co-construction process involving adolescents, parents and GPs in the activities/tools development.34 This approach is recommended to enhance the feasibility, effectiveness and acceptability of health interventions.35 We should also acknowledge some limits. We assess VC at the municipality level which is the smallest geographical scale available in routine SNDS databases. As a result, inclusion of municipalities with more than one secondary school would have required that all schools in that municipality accept to participate. To ensure the study feasibility, we limited the study to municipalities with only one secondary school, and thus excluded all large French municipalities. Thus we cannot exclude a possible selection bias in our future results, but a French study using the SNDS database found that HPV vaccine uptake did not vary significantly according to the number of inhabitants in a municipality after adjustment for individual and other area level characteristics (eg, deprivation index, density of gynaecologists).36 The factorial design of this study will provide results on the effectiveness of each of the three components, applied alone or in combination with the other(s). It will add to the small number of studies that compared the effectiveness of different kind of strategies to promote vaccination, as categorised by the Community Guide23 37 38: interventions to increase community demand for vaccination; provider/system care-based interventions; interventions to enhance access to vaccination services. Our study will provide a wide range of other results, including efficiency (cost-effectiveness), when very few economic evaluations of interventions about HPV vaccination are available, and mostly concern reminder/recall interventions.38 Data on implementation (dose, fidelity, adaptations, reach and satisfaction of target populations) are also critical information for stakeholders to help them decide how the intervention may be replicated39 and possibly generalised at a national level. To gain understanding of how the intervention may promote behaviour change and HPV vaccine uptake among adolescents, we will assess the impact of the intervention on several determinants of vaccination behaviours and intention, among adolescents, theirs parents and GPs. Exploring causal pathways between intervention activities/tools and outcomes may help understand how these effects may be replicated by similar future intervention.39 Finally, the design of the PrevHPV study allows participation of municipalities with different deprivation levels and a balanced allocation between the study’s groups. We plan to assess in exploratory objectives whether and how results vary according to deprivation levels and the impact of the intervention on social inequalities in HPV vaccine uptake. Thus, this study will contribute to pay greater attention to equity in implementation science.40
  29 in total

1.  Optimising HPV vaccination communication to adolescents: A discrete choice experiment.

Authors:  Sandra Chyderiotis; Jonathan Sicsic; Jocelyn Raude; Isabelle Bonmarin; Florian Jeanleboeuf; Anne-Sophie Le Duc Banaszuk; Aurélie Gauchet; Sébastien Bruel; Morgane Michel; Bruno Giraudeau; Nathalie Thilly; Judith E Mueller
Journal:  Vaccine       Date:  2021-06-01       Impact factor: 3.641

2.  Human papillomavirus vaccines: WHO position paper, May 2017.

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  2017-05-12

Review 3.  Value of a national administrative database to guide public decisions: From the système national d'information interrégimes de l'Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France.

Authors:  P Tuppin; J Rudant; P Constantinou; C Gastaldi-Ménager; A Rachas; L de Roquefeuil; G Maura; H Caillol; A Tajahmady; J Coste; C Gissot; A Weill; A Fagot-Campagna
Journal:  Rev Epidemiol Sante Publique       Date:  2017-07-27       Impact factor: 1.019

4.  Human papillomavirus genotype attribution in invasive cervical cancer: a retrospective cross-sectional worldwide study.

Authors:  Silvia de Sanjose; Wim Gv Quint; Laia Alemany; Daan T Geraets; Jo Ellen Klaustermeier; Belen Lloveras; Sara Tous; Ana Felix; Luis Eduardo Bravo; Hai-Rim Shin; Carlos S Vallejos; Patricia Alonso de Ruiz; Marcus Aurelho Lima; Nuria Guimera; Omar Clavero; Maria Alejo; Antonio Llombart-Bosch; Chou Cheng-Yang; Silvio Alejandro Tatti; Elena Kasamatsu; Ermina Iljazovic; Michael Odida; Rodrigo Prado; Muhieddine Seoud; Magdalena Grce; Alp Usubutun; Asha Jain; Gustavo Adolfo Hernandez Suarez; Luis Estuardo Lombardi; Aekunbiola Banjo; Clara Menéndez; Efrén Javier Domingo; Julio Velasco; Ashrafun Nessa; Saibua C Bunnag Chichareon; You Lin Qiao; Enrique Lerma; Suzanne M Garland; Toshiyuki Sasagawa; Annabelle Ferrera; Doudja Hammouda; Luciano Mariani; Adela Pelayo; Ivo Steiner; Esther Oliva; Chris Jlm Meijer; Waleed Fahad Al-Jassar; Eugenia Cruz; Thomas C Wright; Ana Puras; Cecilia Ladines Llave; Maria Tzardi; Theodoros Agorastos; Victoria Garcia-Barriola; Christine Clavel; Jaume Ordi; Miguel Andújar; Xavier Castellsagué; Gloria I Sánchez; Andrzej Marcin Nowakowski; Jacob Bornstein; Nubia Muñoz; F Xavier Bosch
Journal:  Lancet Oncol       Date:  2010-10-15       Impact factor: 41.316

5.  Population-level impact and herd effects following the introduction of human papillomavirus vaccination programmes: updated systematic review and meta-analysis.

Authors:  Mélanie Drolet; Élodie Bénard; Norma Pérez; Marc Brisson
Journal:  Lancet       Date:  2019-06-26       Impact factor: 79.321

Review 6.  Interventions to Improve HPV Vaccine Uptake: A Systematic Review.

Authors:  Emily B Walling; Nicole Benzoni; Jarrod Dornfeld; Rusha Bhandari; Bryan A Sisk; Jane Garbutt; Graham Colditz
Journal:  Pediatrics       Date:  2016-06-13       Impact factor: 7.124

7.  Global burden of cancer attributable to infections in 2018: a worldwide incidence analysis.

Authors:  Catherine de Martel; Damien Georges; Freddie Bray; Jacques Ferlay; Gary M Clifford
Journal:  Lancet Glob Health       Date:  2019-12-17       Impact factor: 26.763

8.  PRALIMAP: study protocol for a high school-based, factorial cluster randomised interventional trial of three overweight and obesity prevention strategies.

Authors:  Serge Briançon; Emilie Bonsergent; Nelly Agrinier; Sabrina Tessier; Karine Legrand; Edith Lecomte; Evelyne Aptel; Serge Hercberg; Jean-François Collin
Journal:  Trials       Date:  2010-12-06       Impact factor: 2.279

9.  HPV vaccination in a context of public mistrust and uncertainty: a systematic literature review of determinants of HPV vaccine hesitancy in Europe.

Authors:  Emilie Karafillakis; Clarissa Simas; Caitlin Jarrett; Pierre Verger; Patrick Peretti-Watel; Fadia Dib; Stefania De Angelis; Judit Takacs; Karam Adel Ali; Lucia Pastore Celentano; Heidi Larson
Journal:  Hum Vaccin Immunother       Date:  2019-02-20       Impact factor: 3.452

10.  Implementation science should give higher priority to health equity.

Authors:  Ross C Brownson; Shiriki K Kumanyika; Matthew W Kreuter; Debra Haire-Joshu
Journal:  Implement Sci       Date:  2021-03-19       Impact factor: 7.960

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