Literature DB >> 28118846

Ecological validity of cost-effectiveness models of universal HPV vaccination: a protocol for a systematic review.

Giampiero Favato1,2, Emmanouil Noikokyris3, Riccardo Vecchiato3.   

Abstract

BACKGROUND: Sexually transmitted infection with high-risk, oncogenic strains of human papillomavirus (HPV) still induces a relevant burden of diseases on both men and women. Although vaccines appear to be highly efficacious in preventing the infection of the most common high-risk strains (HPV 6, 11, 16, 18), important questions regarding the appropriate target population for prophylactic vaccination are still debated. Models in the extant literature seem to converge on the cost-effectiveness of high coverage (>80%) of a single cohort of 12-year-old girls. This vaccination strategy should provide an adequate level of indirect protection (herd immunity) to the unvaccinated boys. This argument presupposes the ecological validity of the cost-effectiveness models; the implicit condition that the characteristics of the individuals and the sexual behaviours observed in the models is generalisable to the natural behaviours of the population. The primary aim of this review is to test the ecological validity of the cost-effectiveness models of universal HPV vaccination available in the literature. The ecological validity of each model will be defined by the number of representative characteristics and behaviours taken into consideration.
METHODS: Nine bibliographic databases will be searched: MEDLINE (via PubMed); Scopus; Science Direct; EMBASE via OVID SP, Web of Science, DARE, NHIR EED and HTA (via NHIR CRD); and CINHAL Plus. An additional search for grey literature will be conducted on Google Scholar and Open Grey. A search strategy will be developed for each of the databases. Data will be extracted following a pre-determined spreadsheet and then clustered and prioritised: the main outcomes will report the inputs to the demographic and epidemiological model, while additional outcomes will refer to basic inputs to the cost-effectiveness valuation. Each study included in the review will be scored by the number of representative characteristics and behaviours taken into consideration (yes or no) on both dimensions. Individual study's scores will be plotted in a 2 by 2 matrix: studies included in the upper right quadrant will be defined as ecologically valid, since which both individuals' characteristics and their sexual behaviours are representative. DISCUSSION: The proposed systematic review will be the first to assess the ecological validity of cost-effectiveness studies. In the context of sexually transmitted diseases, when this condition is violated, an error in predicting the protective impact of herd immunity would occur. Hence, a vaccination policy informed on ecologically invalid models would potentially expose boys to a residual risk of contracting HPV-induced malignancies. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016034145.

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Year:  2017        PMID: 28118846      PMCID: PMC5264325          DOI: 10.1186/s13643-017-0409-7

Source DB:  PubMed          Journal:  Syst Rev        ISSN: 2046-4053


Background

Sexually transmitted infection with high-risk, oncogenic strains of human papillomavirus (HPV) imposes a significant economic burden on public health providers. Much of the information on HPV centres on women since having the virus increases the risk of invasive cervical cancer. But HPV virus may cause other neoplastic benign and malignant lesions, equally affecting men and women [1]. The total lifetime costs attributable to non-cervical, HPV-induced diseases were found comparable for both sexes [2]. Over the last decade, the advent of the bivalent (Cervarix, GlaxoSmithKline) and the quadrivalent (Gardasil, Merck Sharp & Dohme) vaccine in addition to screening paradigms held promise for reducing the long-term, cumulative burden of HPV-induced diseases. The trade-off was an incremental annual investment in vaccination programmes. Under the constraint of scarce public resources, policy makers relied on economic valuation to inform the decision to add the HPV vaccination to existing immunisation programmes. According to previously published reviews, most cost-effectiveness studies in the extant literature evaluated women-only direct immunisation programmes [3-5]. The few studies which included males in the valuation of HPV vaccination seemed to reach controversial conclusions [6, 7]. A recent review focused on a range of values missing from most studies, such as indirect costs, right to access treatment and health equalities [8]. The unresolved dichotomy between public health leaders who advocate the urgency of vaccinating boys against HPV [9] and policy makers who are hesitant to allocate economic resources to universal (boys and girls) vaccination calls for a methodological review of the cost-effectiveness models used to inform the decisions of the latter. The primary aim of this review is to test the ecological validity of the cost-effectiveness models available in the literature. This can be framed by asking if the models provide an acceptable representation of the intended reality on all relevant dimensions. This systematic review protocol will adhere to the reporting guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) statement [10]. The PRISMA-P checklist can be found in Additional file 1.

Ecological validity

Ecological validity has typically been taken to refer to whether or not one can generalise from observed behaviour in the laboratory to natural behaviours in the world [11]. In fact, ecological validity or the related idea of external validity has a long history in psychology and economics, with the issues central to this idea frequently and continuously debated [12]. The demand for ecological validity stems from the Brunswick’s concept of representative design, a construct used to assess whether an experiment or a model captures the relevant features of intended realities [13]. Using the replica model analogy [14], this can be framed by asking how well the model mimics reality on characteristics relevant to the theory. Central to representative design is the notion that any model can be thought as a sample of behaviours. For results to be generalisable, not only should attributes of participants be representative but also their expected behaviours in the specific task or situation. To do this, investigators need to specify the relevant characteristics and behaviour of the population related to the intended situation. In addition, sampling should take place on two dimensions. One involves the participants; the other concerns the situations or tasks with which the participants are confronted. Valid inferences can only be achieved by sampling in a representative manner on both dimensions. Applied to cost-effectiveness of universal HPV vaccination, models chosen to inform public immunisation policies should take into account most of the dimensions relevant to the population (individuals susceptible to HPV infection) as well as to the specific situation (patterns of sexual mixing).

Challenges of modelling sexual behaviour

Traditionally, patterns of sexual behaviour have been characterised by focusing on the individual as unit of analysis, e.g. by measuring an individual’s number of sexual partners. However, adopting a network approach to the epidemiology of sexually transmitted infections reveals that behaviours and sexual preferences may influence the spread of infection [15]. The ecological theory of infectious disease discusses the characteristics of the individuals and the patterns of the sexual mixing relevant to HPV infection [16]. Gender, age, ethnicity, sexual activity, rate of change of sexual partners and frequency of unprotected sex are characteristics representative of individuals at risk of infection [17-19]. Concurrent partnership and assortative mixing are relevant to the model’s representativeness of sexual mixing. Concurrent partnerships are those in which the same individual is involved in sexual partnerships occurring simultaneously, as opposed to “serial monogamy” where one partnership ends before another one starts. The proportion of concurrent partnerships effectively increases the risk of sexually transmitted infections in the population [20, 21]. The risk of infection varies according to whether partnerships are formed between people from similar (positive assortative) or different (negative assortative) prevalence and sexual activity groups. Sex with partners of the same sex (positive) [22], sex with older partners (negative) [23], sex with a foreign partner (negative) [24] and pay for sex (negative) [25] are the four behaviours which increase the heterogeneity in the population, since some susceptible individuals are more likely to acquire and transmit the infection. If the high-risk individuals mix randomly, the infection is more likely to spread [26]. Building upon the same methodological premise of ecology of infectious disease, the Natsal survey is aimed to understand the most current characteristics of sexual partners and partnerships in the general British population. Three Natsal surveys have taken place up to day: Natsal-1 in 1990–1991, Natsal-2 in 1999–2001 and Natsal-3 in 2010–2012. In the Natsal-3 [27, 28], the following five characteristics have been identified to be representative of the participants (sexually active individuals): Number of susceptible individuals (population size and growth) Gender Age Ethnicity Self-defined sexual identity The following five behaviours have been identified as representative of situation (sexual mixing): Sexual activity (rate of change of sexual partners) Concurrent sexual partnerships At least one sexual partner from outside the UK Paid for sex Frequency of unprotected sex Individual characteristics and sexual mixing behaviours are relevant to the ecological validity of modelling sexually transmitted infections. For the normative outcomes of cost-effectiveness of universal HPV vaccination to be generalisable and inform public health policies, claims need to be established for the representative design of their underlying models. Ex ante, valid inferences should only be drawn by models which include all the eleven dimensions relevant to individuals and their sexual partner network. Ex post, the relative degree of representativeness of cost-effectiveness studies can be assessed by the number of relevant characteristics and behavioural patterns taken into consideration by their underlying models.

Study rationale and objectives

The aim of this review is to test the ecological validity of the cost-effectiveness models of universal HPV vaccination available in the literature. Ecological validity refers to the relation between real-world phenomena and the investigation of these phenomena in experimental contexts or models. This can be framed by asking if the models provide an acceptable representation of the intended reality on all relevant dimensions. In the context of sexually transmitted diseases, patterns of sexual behaviour have been traditionally characterised by focusing on the individual as unit of analysis, e.g. by measuring an individual’s number of sexual partners. However, adopting a network approach to the epidemiology of sexually transmitted infections reveals that behaviours and sexual preferences may influence the spread of infection. For results to be generalisable, not only should attributes of participants be representative but also their expected behaviour in the sexual mixing. The review seeks to answer the following research questions: From the perspective of ecological validity, are the economic models included in the review representative of real-life sexual attitudes and lifestyles? To what degree would an ecological bias threaten the generalisability of the outcomes? What are the possible implications on public health policies?

Methods

Protocol

The protocol is registered in the International Prospective Register of Systematic Reviews (PROSPERO) CRD42016034145, available at: http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42016034145 The current stage of the systematic review, as defined by PROSPERO, is: 2. Piloting of the study selection process.

Eligibility criteria

Inclusion criteria are as follows: Studies reporting the incremental cost-effectiveness ratio (ICER) per quality-adjusted life year (QALY) gained of adding males to a female-only HPV vaccination Health outcomes not limited to cervical cancer and genital warts but including additional HPV-induced diseases, such as: Vulvar cancer Vaginal cancer Anal cancer Penile cancer Oropharyngeal cancer Recurrent respiratory papillomatosis (RRP) Studies will be included if HPV universal vaccination will be compared to: Cervical cancer screening Vaccination of females only Studies reporting a full disclosure of the inputs chosen to inform the economic model Types of economic models: Individual models Static models Transmission dynamic models Hybrid models Exclusion criteria: Health outcomes limited to the valuation of cervical cancer and genital warts Studies not published in English language

Information sources

The following bibliographic databases will be searched: MEDLINE (via PubMed); Scopus; Science Direct; EMBASE (via OVID SP); Web of Science; EconLit (via EBSCO); DARE, NHIR EED and HTA (via CRD); and CINHAL Plus. An additional search for grey literature will be conducted on Google Scholar and Open Grey. Reviews will be included to reduce the possibility of missing relevant articles.

Search strategy

A search strategy will be developed for each of the main databases. Additional file 2 reports details of our planned bibliographic database search strategies for MEDLINE (via PubMed); Science Direct; EMBASE (via OVID SP); Web of Science; Scopus; CRD; CINHAL Plus; EconLit (via EBSCO); Google Scholar; and Open Grey. The PubMed “related articles” search feature will be used to reduce the risk of missing relevant articles. References of the included studies will be searched in order to identify additional relevant studies missed. A pilot of the study selection process will be conducted before initiating the systematic search of relevant articles.

Study selection

Two graduate research associates (GRAs) will independently identify through database searching, screen, assess for eligibility and include in the review the relevant studies. Opinion of one of the reviewers will be sought to arrive at a consensus in case of disagreement on a study for inclusion.

Data extraction

Data will be extracted and recorded independently by two additional graduate research associates (GRAs) from the studies included in the review, according to a predefined data extraction table reported in Additional file 3. Data extracted will be clustered and prioritised: the main outcomes will report the inputs to the demographic and epidemiological model, while additional outcomes will refer to basic inputs to the cost-effectiveness valuation. Monetary values in different currencies will be transformed in US dollars using purchasing power parities (PPPs). Subsequently, all the monetary values will be adjusted to 2015 dollar value using the US consumer price index (CPI). Corresponding authors of various studies may be contacted by email to clarify methods and results if the need arises.

Risk of bias

Two external experts (a health economist and a clinical oncologist) will independently assess the risks and threats to validity relative to each of the studies included in the review. The critical appraisal of included economic evaluations will be carried out in two subsequent stages: A preliminary stage, aimed to assess the risk of bias in the estimates of treatment effect (e.g. vaccine efficacy) used as data inputs in the economic evaluation. The effectiveness of the HPV vaccines currently available has been preliminarily evaluated by the randomized clinical trials which supported regulatory approval [29]. Vaccines effect and impact of immunisation programmes have been confirmed by post-licensure observational studies [30]. The choice of the appropriate tool to assess risk of bias should reflect relevant differences in the study design. Based on the premise that both randomized clinical trials and observational studies could be equally useful to inform the estimates of relative treatment effect in cost-effectiveness models, the risk of bias will be assessed by using one of the following tools: The Cochrane Risk of Bias tool [31] for randomized clinical trials, available online at http://handbook.cochrane.org/index.htm#chapter_8/figure_8_6_c_example_of_a_risk_of_bias_summary_figure.htm The Cochrane ROBINS-I tool (Risk Of Bias In Non-randomized Studies – of Interventions) [32] for observational studies. The ROBINS-I tool is available online at: https://sites.google.com/site/riskofbiastool/welcome/home A main stage, aimed to identify additional risks of bias and, ultimately, to assess the validity of the included studies. The risk assessment will follow the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) approach [33]. The CHEERS statement is available online at: http://www.equator-network.org/wp-content/uploads/2013/04/Revised-CHEERS-Checklist-Oct13.pdf. In case of misalignment of views, differences will be resolved in a dedicated meeting among reviewers.

Data synthesis

Each study included in the review will be scored by the number of representative characteristics and behaviours taken into consideration (yes or no) on both dimensions. Individual study’s scores will be plotted in a 2 by 2 matrix [34] reported in Additional file 4. The upper right quadrant represents the ideal situation, in which both individuals’ characteristics and their sexual partner networks are representatives; hence, the studies are ecologically valid. In the upper left quadrant, we have models describing representative individuals but not in a representative network. In the lower left quadrant, the network is representative but the individuals are not. Finally, in the lower right quadrant, neither the individuals nor the network are representative. Only models in the upper right quadrant provide normative economic recommendations that are fully representative, hence generalisable to inform public health policies.

Discussion

This protocol describes a systematic review of cost-effectiveness evaluations of universal vaccination programmes against HPV. The primary aim of this review is to test the ecological validity of these models, defined as the degree of representativeness of the individuals susceptible to infection and their sexual preferences and lifestyles. Eventual gaps identified in this systematic review would have a significant impact on current public health policies. Models in the extant literature seem to converge on the cost-effectiveness of high coverage (>80%) of a single cohort of 12-year-old girls. This vaccination strategy should provide an adequate level of indirect protection (herd immunity) to the unvaccinated boys. This argument presupposes the ecological validity of the cost-effectiveness models; the implicit condition that the characteristics of the individuals and the sexual behaviours observed in the models is generalisable to the natural behaviours of the population. If the ecological validity condition is violated, an error in estimating the protective impact of herd immunity would occur. Hence, a vaccination policy informed on ecologically invalid models would potentially expose boys to a residual risk of contracting HPV-induced malignancies.
  25 in total

1.  Patterns of sexual mixing: mechanisms for or limits to the spread of STIs?

Authors:  S O Aral
Journal:  Sex Transm Infect       Date:  2000-12       Impact factor: 3.519

Review 2.  Extending the Human Papillomavirus Vaccination Programme to Include Males in High-Income Countries: A Systematic Review of the Cost-Effectiveness Studies.

Authors:  Mohamed-Béchir Ben Hadj Yahia; Anaïs Jouin-Bortolotti; Benoît Dervaux
Journal:  Clin Drug Investig       Date:  2015-08       Impact factor: 2.859

3.  Consolidated Health Economic Evaluation Reporting Standards (CHEERS)--explanation and elaboration: a report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force.

Authors:  Don Husereau; Michael Drummond; Stavros Petrou; Chris Carswell; David Moher; Dan Greenberg; Federico Augustovski; Andrew H Briggs; Josephine Mauskopf; Elizabeth Loder
Journal:  Value Health       Date:  2013 Mar-Apr       Impact factor: 5.725

4.  The Holy Grail of prevention of sexually transmitted infections in travellers.

Authors:  Alberto Matteelli; Susanna Capone
Journal:  Sex Transm Infect       Date:  2016-06-06       Impact factor: 3.519

5.  The influence of concurrent partnerships on the dynamics of HIV/AIDS.

Authors:  C H Watts; R M May
Journal:  Math Biosci       Date:  1992-02       Impact factor: 2.144

Review 6.  Economic evaluation of human papillomavirus vaccination in developed countries.

Authors:  Marc Brisson; Nicolas Van de Velde; Marie-Claude Boily
Journal:  Public Health Genomics       Date:  2009-08-11       Impact factor: 2.000

Review 7.  Public health value of universal HPV vaccination.

Authors:  Riccardo A Audisio; Giancarlo Icardi; Andrea M Isidori; Carlo A Liverani; Alberto Lombardi; Luciano Mariani; Francesco Saverio Mennini; David A Mitchell; Andrea Peracino; Sergio Pecorelli; Giovanni Rezza; Carlo Signorelli; Giovanni Vitali Rosati; Gian Vincenzo Zuccotti
Journal:  Crit Rev Oncol Hematol       Date:  2015-08-04       Impact factor: 6.312

8.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation.

Authors:  Larissa Shamseer; David Moher; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  BMJ       Date:  2015-01-02

9.  Improving questions on sexual partnerships: lessons learned from cognitive interviews for Britain's third National Survey of Sexual Attitudes and Lifestyles ("Natsal-3").

Authors:  Catherine R H Aicken; Michelle Gray; Soazig Clifton; Clare Tanton; Nigel Field; Pam Sonnenberg; Anne M Johnson; Catherine H Mercer
Journal:  Arch Sex Behav       Date:  2012-06-14

10.  ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Authors:  Jonathan Ac Sterne; Miguel A Hernán; Barnaby C Reeves; Jelena Savović; Nancy D Berkman; Meera Viswanathan; David Henry; Douglas G Altman; Mohammed T Ansari; Isabelle Boutron; James R Carpenter; An-Wen Chan; Rachel Churchill; Jonathan J Deeks; Asbjørn Hróbjartsson; Jamie Kirkham; Peter Jüni; Yoon K Loke; Theresa D Pigott; Craig R Ramsay; Deborah Regidor; Hannah R Rothstein; Lakhbir Sandhu; Pasqualina L Santaguida; Holger J Schünemann; Beverly Shea; Ian Shrier; Peter Tugwell; Lucy Turner; Jeffrey C Valentine; Hugh Waddington; Elizabeth Waters; George A Wells; Penny F Whiting; Julian Pt Higgins
Journal:  BMJ       Date:  2016-10-12
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