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. Author manuscript; available in PMC: 2011 May 28.
Published in final edited form as: Vaccine. 2010 Apr 20;28(24):4027–4037. doi: 10.1016/j.vaccine.2010.03.063

A Systematic Review of Measures Used in Studies of Human Papillomavirus (HPV) Vaccine Acceptability

Jennifer D Allen 1,2, Gloria D Coronado 3, Rebecca S Williams 4, Beth Glenn 5, Cam Escoffery 6, Maria Fernandez 7, Raegan A Tuff 8, Katherine M Wilson 8, Patricia Dolan Mullen 7
PMCID: PMC3006186  NIHMSID: NIHMS206651  PMID: 20412875

Abstract

Background

The recent proliferation of studies describing factors associated with HPV vaccine acceptability could inform health care providers in improving vaccine coverage and support future research. This review examined measures of HPV and HPV-vaccine knowledge, attitudes, beliefs and acceptability, described psychometric characteristics, and provided recommendations about their use.

Methods

A systematic search of Medline, CINAHL, PsychoInfo, and ERIC through May 2008 for English language reports of quantitative data from parents, young adults or adolescents yielded 79 studies.

Results

The majority of studies were cross-sectional surveys (87%), self-administered (67%), conducted before prophylactic vaccines were publicly available (67%) and utilized convenience samples (65%). Most measured knowledge (80%), general attitudes about HPV vaccination (40%), and willingness to vaccinate one's daughter (26%). Two thirds did not report reliability or validity of measures. The majority did not specify a theoretical framework.

Conclusions

Use of a theoretical framework, consistent labeling of constructs, more rigorous validation of measures, and testing of measures in more diverse samples are needed to yield measurement instruments that will produce findings to guide practitioners in developing successful community and clinical interventions.

Keywords: human papillomavirus, vaccine, measures, methods, systematic review

INTRODUCTION

The recent availability of human papillomavirus (HPV) vaccines provides the potential for a major step forward in reducing the public health burden of the most common sexually-transmitted infection in the United States (U.S.). Yet, this will only occur if there is widespread uptake of the vaccine. Behavioral interventions to ensure broad population coverage require an understanding of vaccine acceptability and the factors that predict it. Recently, there has been a proliferation of studies of this type. Several comprehensive reviews have summarized findings from published studies [14]. Across studies involving women, adolescents and parents, ratings of vaccine acceptability have generally been high. Nevertheless, numerous studies document concerns regarding issues of vaccine safety [57], efficacy [68], cost [913], and among parents, the potential impact of vaccination on adolescent sexual behaviors [1416]. Findings regarding other potential salient factors in decision-making about vaccination, such as perceived severity and susceptibility to HPV infection, have been inconsistent [1, 17].

Existing reviews cite difficulties in cross-comparison of study findings due to differences in study designs, sampling methods and populations, and in addition, differences in methods for assessing constructs related to vaccine acceptability [14]. In particular, the lack of standardized theoretical and operational definitions of constructs hypothesized to influence vaccine uptake creates concern about use of available data to guide interventions. In the absence of standardized methods for defining and measuring theoretical constructs, it is not possible to know if inconsistent findings are the result of differences in measurement or true variability across study populations. A high degree of measurement error could lead to erroneous findings, leading researchers either to abandon a line of inquiry that is worthy of further study, or to accept associations where none exist.

Given the early stage of this field and the rapid pace of new research, this is an opportune time to evaluate measures of HPV vaccine acceptability and to consider next steps to strengthen them. Thus, the aims of this paper are to: (1) systematically review measures used in published studies of HPV vaccine knowledge, attitudes and behaviors; (2) describe their characteristics and psychometric properties; and (3) provide recommendations to improve the measurement of constructs in future studies.

METHODS

We sought primary reports that presented quantitative data of HPV and HPV-vaccine related knowledge, attitudes, beliefs and acceptability. Studies included were those conducted in the English language and that sampled parents, other young adults or adolescents in an industrialized country. Qualitative studies, case reports, reviews, presentations of clinical guidelines and studies of health care providers were excluded.

A trained health services librarian with experience in conducting and documenting searches for systematic reviews searched the literature using Medline SilverPlatter, the Cumulative Index to Nursing and Allied Health Literature (CINAHL) SilverPlatter, PsychInfo CSA (Cambridge Scientific Abstracts) ILLUMINA and Educational Resource Information Center (ERIC). She selected the following search terms from Medical Subject Headings (MeSH): human papilloma virus OR HPV AND vaccine AND accept*, aware*, attitude*, belief*, behave*, decision, decide, intent*, know*, perceived*, percept*, risk*, sever*, uptake*, and will*. Next, she examined the thesauri of the other databases to ensure consistency across databases; adjustments were made as necessary to ensure standardization of search processes across databases. Published reports from January 1995 to May 2008 were identified and retrieved. Abstracts were reviewed for eligibility by three authors (JDA, MEF, RAT). When additional information was needed to determine eligibility, the full-text article was retrieved and reviewed.

A standardized data abstraction form was created based on a prior measurement review [18]. Coders (authors) abstracted information regarding study design, sample characteristics, application of a theoretical framework, constructs assessed, and characteristics of measures used to assess each construct. Determination of the constructs measured in each study was based on the best match with construct definitions and examples of measures described in authored papers posted by the Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute on its website [19].

To ensure consistency in coding, a standardized codebook was created. As a next step, all coders reviewed the same study and identified and resolved disagreements in coding. The codebook was thereafter revised. For each study included in the review, two authors independently coded and compared their results. Coding discrepancies within pairs were resolved through discussion with all co-authors. Once initial coding was completed, all authors reviewed the classification of measures for each of the constructs in each of the papers, and discussed any disagreements until consensus was reached. We opted for this group consensus method for coding, because of the large number of raters (eight) and the enormous variability in terms of how constructs were described and defined across studies. Data were entered into an online database; after cleaning, the data were downloaded into Excel files and evidence tables were constructed, organized by major construct categories (Table 1).

Table 1.

Characteristics of the 79 Included Studies

n %

Study design
Randomized controlled trial 3 4
Before-after one group trial 6 8
Cross-sectional 69 87
Other 2 3

Study location
U.S. 41 52
Non-U.S.* 36 46
Not specified 2 3

Study setting*
Population-based setting 26 33
Health care setting 33 42
School setting 7 9
College setting 24 30
Other 6 8

Data collection method
Self-administered survey 53 67
Interviewer-administered survey 20 25
Online survey 2 3
Other 4 5

Sample*
Parents 17 22
Women 46 58
Men 4 5
Women and men 14 18
Adolescent girls (<18) 22 28

Proportion of sample reported to be non-Hispanic White
0%–25% 11 14
26%–50% 13 17
51%–75% 9 11
75%–100% 26 33

Sampling method
Random 19 24
Convenience 51 65
Other 10 13

Sample size
<100 10 13
101–500 46 58
501–1000 12 15
>1000 12 15

Date of study
Pre vaccine licensure 53 67
Post vaccine licensure 13 17
Not stated 14 18

Note. Some categories are not mutually exclusive, as some studies were conducted in multiple settings or with multiple sample types or theoretical models.

*

Non-US countries were Australia (5 studies); Belgium (3); Brazil (2); Canada (n=4); Columbia (n=1); Finland (n=1); Germany (n=1): Hong Kong (n=2); Iceland (n=1); Mexico (n=2); Netherlands (n=1); Sweden (n=1); Turkey (n=1); UK (n=10); and Vietnam (n=1).

RESULTS

All citations (N=1052) were reviewed for eligibility based on titles and abstracts. Of these 367 required full-text reviews; 79 studies met inclusion criteria.

Study Characteristics

Most (87%) studies were cross-sectional, and approximately one-half were conducted in the U.S. (Table 1). Two-thirds of U.S. studies and 36% of non-U.S. studies were conducted prior to approval of the first vaccine (June 2006), which necessitated framing questions about a hypothetical vaccine with unknown qualities that was not yet available. Most studies recruited participants from health care facilities (42%) or colleges (30%). Over half of them sampled women (58%). Almost two-thirds used samples of convenience; random sampling was performed in 24% of studies. One third of studies included more than 75% white, non-Hispanic participants. Sample sizes in most studies (88%) exceeded 100; 30% had samples of 500 or more. The response rate was not reported or calculable in over 90% of all studies. Of the small minority of studies (18%) that explicitly reported using an underlying theoretical or conceptual framework—the most common were the Health Belief Model [20], the Theory of Reasoned Action [21], or social cognitive theory [22].

Constructs and measures

Few studies reported the sources of measures employed. When reported, measures were generally described as having been developed by the authors. No studies that had adapted measures from another source described the nature or extent of adaptation. Thirty percent of the studies included reliability or validity information about the items that they used (see Table 2). Internal reliability (Cronbach's alpha) was reported in 20% of studies [6, 7, 15, 2336]. Test re-test reliability was reported in one study [31]. Weak tests of validity were performed in 16% of the studies [5, 8, 23, 24, 26, 29, 30, 34, 3739], primarily using expert opinion or qualitative evaluation. Two studies used focus groups to improve the content validity of survey items [8, 15]; ten reported having had items reviewed by a panel of experts or tested among similar populations [5, 8, 23, 24, 29, 30, 34, 3739]. Of the studies conducted in the U.S., only one developed an instrument for Spanish-speaking populations [37].

Table 2.

Characteristics of 25 studies that reported reliability or validity information

Study Construct (number of items in measure)* Reliability Validity Sample Characteristics
Benning, 2007[37] HPV Awareness (1); know-ledge of HPV health conse-quences (4), transmission (5), symptoms (2), treatment (1), unspecified HPV Knowledge (1) NR Pre-tested with people outside of health care for clarity, uniformity of interpretation 363 women age 15–74 (mean=29); 41% White, 28% Black, 24% Hispanic, 3% Asian, 2% Other
Bertram, 2008[23] Knowledge HPV health consequences (3), transmission (1), symptoms (2), DNA test (2), treatment (2), un-specified HPV knowledge (3) α=0.85 Face validity: expert panel (faculty, students) Content validity: Reviewed by health care providers, compared with published health ed materials 492 college students, 75% female; 49% Asian, 19% White, 12% Filipino, 11% Hawaiian, 4% Hispanic
Brabin 2006[5] Knowledge HPV health consequences (3), transmission (3), symptoms (1), risk factors (1), treatment (1), vaccine efficacy (1); acceptability daughter (1), perceived risk (3) and perceived efficacy (4) of the vaccine Not reported Three rounds of validation (method not reported) 317 parents of 11–12 yr olds; 72% parents of girls; 65% White, 17% Black, 12% Indian, 4% Other, 2%
Davis 2004[8] Knowledge HPV health consequences (5), transmission (NR), treatment (1), other/unspecified knowledge of HPV (1) and HPV vaccine (NR); acceptability-daughter (1); perceived benefits, (2) perceived risk, and perceived efficacy (5) of the vaccine (3); general beliefs /attitudes (11) Not reported 2 rounds of pilot testing with focus group of 7 parents of 10–15 year old girls 506 parents of 10–15 year olds, 89% female, 51% White, 45% Black, 4% Other
Dempsey2006[6] Intention (daughter) (3) α=0.83 Not reported 840 Parents/primary caregivers of 8–12 year olds, 84% female, ethnically, culturally, over 25 racial/ethnic groups, 75% White, 5% Black, 11% Asian, 9% other or unreported (baseline survey participants); 78% White, 4% Black, 11% Asian, 7% other or unreported (information sheet participants)
Perceived benefits (3) and barriers (3); susceptibility (daughter) (3); general beliefs /attitudes (3) α=0.68–0.78
Perceived severity (3); subjective norms (2); normative beliefs (1) α=0.20–0.27
Denney-Smith, 2006[24] Knowledge HPV health consequences (3) and transmission (1); perceived severity (2) and susceptibility (self) (5); general beliefs / attitudes (5) Knowledge HPV health consequences (3) α=0.95; & transmission (1); perceived severity (2) & susceptibility (self) (5) α=0.95; general beliefs / attitudes (5) Test-retest reliability coefficient 0.90 Content validity reviewed by expert panel and pilot tested (not specified among whom) 240 female nursing students aged 19–58
Dinh, 2007[39] Awareness of HPV (1); acceptability-daughter (1); perceived susceptibility-daughter (1); perceived efficacy (1); general beliefs / attitudes (1) Not reported Native Vietnamese speakers reviewed the instrument to ascertain correctness and clarity in content, context, and tone 181 Vietnamese mothers of 10–18 year old girls, age range 26–60, mean age 42
Donders, 2008[38] Awareness of HPV vaccine (1); knowledge HPV other (1), other/unspecified knowledge of HPV vaccine (1); acceptability-daughter (1), acceptability-self (2); perceived barriers (3), risk of the vaccine (2); perceptions re: who should get the vaccine (3) Not reported Questions were read by 12 women of varying education levels to ensure they were understood by all 372 women, mean age 36, 79% parents, 51% parents of daughters
Fazekas, 2008[25] Acceptability-daughter (3), self (3) α=0.89 Not reported 146 rural women, mean age 42, 62% Black, 32% white, 2% other, 4% unreported, 85% mothers
Perceived benefits (6) α=0.7–0.94
Perceived barriers (3) α=0.79
Gerend, 2007[36] Acceptability-(self (5) α=0.96 Not reported 121 female college students age 18–25 (mean age 19), 85% White, 10% Black, 5% unreported, (12% of Whites reported Hispanic ethnicity)
Gerend, 2007[7] Acceptability-(self (4) α=0.90 Not reported 58 women 1–50, mean age 26, 29% White, 59% Black, 12% other
Gerend, 2008[35] Acceptability-self (5) α=0.97 Not reported 237 female college students age 18–26, mean age 19, 76% White, 13% Black, 2% Asian, 9% mixed or other (8% of Whites reported Hispanic ethnicity)
General beliefs / attitudes (2) α=0.94
Perceived severity (4) α=0.90
Perceived susceptibility-self (2) α=0.94
Perceived benefits (3) α=0.86
Perceived barriers (2) α=0.90
Holcomb20 04[26] Knowledge of HPV health consequences (5) α=0.92 Face & construct validity was reported to be "good", although additional information was not available 288 men and women from under 20 to over 46, sample primarily female and White; 77% White, 14% Black, 2% Hispanic, 3% Asian, 1% other, 3% unreported (Family practice sample); 64% White, 9% Black, 7% Hispanic, 13% Asian, 1% other, 6% unreported (Student health clinic sample)
Knowledge of HPV risk factors (14) α=0.93
Knowledge of HPV symptoms (1) α=0.92
Kahn, 2008[33] Intention to receive vaccine -self-(1) α=0.82 Not reported 409 women aged 13–26, mean age 19, 29% White, 60% Black, 9% other, 2% unreported
General beliefs and attitudes (28) α=0.79–0.96
Perceived severity of HPV (5) α=0.75–0.76
Perceived susceptibility to HPV-self (2) α=0.77
Perceived benefits of vaccine (6) α=0.65–0.82
Perceived barriers to vaccine (11) α=0.66–0.82
Perceived risk of vaccine (4) α=0.82
Marlow, 2007[15] Awareness of HPV (1); acceptability of vaccine-daughter (1), perceived barriers (2) and perceived risk of the vaccine (2); general beliefs and attitudes (NR); social norms (NR) Not reported Pilot focus groups 680 mothers of 8–4 y.o. girls, mean age 41, 92.6% White
Marlow, 2007[83] General beliefs and attitudes (NR) α=0.66–0.76 Not reported 684 mothers of at least 1 daughter age 8–14, mean age 41, 93% White
Moreira, 2006[30] Knowledge of HPV health consequences (1), transmission (1), other knowledge (1); general beliefs / attitudes (NR) Not reported Face validation assessed by health survey experts 204 women age 16–23, mean age 20, 2% White, 26% Black, 72% mixed ethnicity
Ogilvie, 2007[31] Awareness of HPV (1); knowledge of HPV transmission (1); perceived benefits (2), risk of the (2), efficacy of vaccine (2); general beliefs / attitudes; subjective norms (5) α≥0.60 Not reported 2083 parents of children aged 8–18, 74% female, age range: 19–>60, 83% White, 2% Aboriginal, 15% other, 65% had daughters
Ogilvie, 2008[74] Awareness of HPV (2); knowledge of HPV transmission (2) α=0.60 Not reported 2083 parents of children aged 8–18, 74% female, age range: 19– >60, 83% White
Ramirez, 1997[27] Other knowledge (20) α=0.60 Not reported 110 female college students 18–22, mean age 20, 54% White, 6% Black, 23% Asian, 13% Hispanic, 6% Other
General beliefs and attitudes (NR) α=0.89
Sperber, 2008[34] Acceptability of vaccine-self [3], daughter [3]) α=0.89 Pilot testing including review by experts and testing with residents of neighboring county 146 women 18–84 (mean age 42), 32% White, 62% Black, 6% other, 62% had daughters, 19% had daughters 11–16
Waller, 2007[32] General beliefs / attitudes (17) α=0.73–.90 Pilot testing 811 female college students 18–30, 68% White, 2% Black, 20% Asian, 10% Other
Wang, 2006[28] Knowledge of HPV transmission (10), symptoms (6), and other knowledge (30) α=0.77 Not reported 159 rural female high school students 14–20 (mean age 17), 98% White
Yacobi, 1999[29] Knowledge of HPV other (14) α=0.93 Construct validity assessed, although additional information was not available. 289 college students, median age 25, 63% female, 81% White, 5% Black, 7% Hispanic, 7% Other

Awareness and knowledge of HPV were by far the most frequently assessed constructs (80% of studies), followed by attitudes toward vaccination (40%), willingness for one's daughter to receive the vaccine (26%), willingness to receive the vaccine oneself (23%), perceived vulnerability to HPV (21%), and perceived barriers to (16%) and benefits (15%) of receiving the vaccine. Details are provided below.

Awareness and Knowledge of HPV and HPV vaccine

Awareness and Knowledge of HPV

Awareness of HPV was assessed in 31 (38%) of the studies, usually as a single item, such as “Have you ever heard of the human papillomavirus or HPV?” (Figure 1). Three-quarters of the studies assessed aspects of knowledge, including the health consequences of HPV infection [5, 8, 10, 15, 2329, 37, 4073] (typically cervical cancer and genital warts), modes of viral transmission [5, 8, 10, 23, 24, 2732, 37, 4043, 45, 46, 49, 50, 52, 54, 55, 57, 6365, 68, 7275], and the asymptomatic nature of HPV infection [5, 23, 2529, 37, 40, 45, 46, 48, 54, 56, 57, 63, 65, 68, 69, 73, 75]. Studies with items addressing knowledge of modes of viral transmission frequently assessed awareness that the virus is sexually-transmitted; seven specifically measured awareness that both men and women can acquire the virus [5, 27, 50, 63, 65, 72, 75]. Among studies assessing HPV health consequences, some also asked whether participants endorsed health problems that are not associated with HPV, such as infertility [23, 49, 50, 54, 68], or “myths” such as whether the virus can be spread through toilet seats or by shaking hands with an infected person [24, 2729, 42, 62, 64]. Nine studies [2628, 38, 54, 57, 60, 73, 76] assessed some other aspect of HPV-related knowledge, such as the relationship between HPV and other sexually transmitted diseases, the need for continued Pap screening after vaccination, and the expected course of an HPV infection. Some studies asked participants about their sources of information about HPV infection, including where information was accessed and where they typically seek such information [46, 48, 50, 64, 77, 78]. Information about measures in a number of studies was insufficient for us to determine which aspect of knowledge was assessed [6, 9, 33, 79].

Figure 1.

Figure 1

Number of studies that measured each construct (N=79)

Awareness of the HPV vaccine was assessed in eight studies (10%), typically with a single item such as, “Have you ever heard of the HPV vaccine?” [25, 28, 38, 44, 50, 55, 57, 60]. Eight studies assessed more in-depth aspects of knowledge about the vaccine [5, 8, 33, 38, 44, 47, 50, 77], including its efficacy [5, 38, 44].

Vaccine acceptability, intention and behavior

Vaccine acceptability

Items were categorized as “vaccine acceptability” if they included the word “would,” as in “Would you agree to vaccination…” or “Would you accept the vaccine…” Of 31 (39%) studies that measured this construct, 21 measured parental acceptability of the vaccine for daughters [5, 7, 8, 12, 15, 25, 34, 38, 39, 44, 53, 58, 60, 61, 8086]. Eighteen measured acceptability for oneself [7, 9, 10, 12, 25, 3436, 38, 48, 50, 61, 78, 80, 84, 85, 87, 88], and five inquired about the acceptability of vaccinating sons [60, 61, 74, 80, 84].

The majority of measures of acceptability for daughters (73%) were based on a single item, such as, “How likely would you be to vaccinate your daughter for HPV?” Items in four studies used an age referent [6, 38, 78, 81]. Two studies that asked about vaccinating daughters mentioned a cost condition, including “only if reimbursed” [38] and “willingness to pay out of pocket” [25].

Vaccine acceptability for oneself was more often measured with multiple items (53%). Response formats were typically Likert-type or dichotomous (32% and 26%, respectively). Two studies assessed vaccine acceptability using a single cost referent “if it were free” [25, 34]. Two others assessed acceptability at graduated levels of cost [12, 88].

A small number of studies inquired about acceptability (for self or daughter) of an HPV vaccine that provided protection against different health outcomes, or had graduated levels of efficacy [10, 34, 86, 88]. For example, two studies by the same author [86, 88] presented hypothetical scenarios that varied along four dimensions (mode of transmission, severity of infection, vaccine efficacy and availability of behavioral methods for prevention). Participants rated the acceptability of each hypothetical vaccine. One assessed acceptability of a free HPV vaccine that prevented either HPV, cervical cancer or genital warts [34].

Vaccine intentions is defined as the “the amount of effort one is willing to exert to attain a goal” [89], “behavioral plans that…enable attainment of a behavioral goal” [21], or simply “proximal goals” [22]. Intentions were assessed in six (7%) studies [6, 31, 33, 54, 55, 74]; three asked about intention to vaccinate a daughter [6, 31, 54, 74] and three inquired about intention to vaccinate oneself [33, 54, 55]. One study included assessment of intentions for self and daughter [54], and one asked about both sons and daughters [74]. Item wording for intention included, “I intend to have my daughter receive the HPV vaccine.” Only one study [33] included a time frame for obtaining the vaccine (i.e., “in the next year”).

Vaccine uptake

Two studies assessed receipt of the HPV vaccine [33, 48]. One included a single item, “Have you received the HPV vaccine?” with no clarification regarding number of doses [48]. In the other study [33], the item asked if the participant had received “at least one” dose of the HPV vaccine.

Vaccine attitudes and beliefs

Perceived severity of HPV reflects the “perception of negative consequences associated with an event or outcome” and is generally assessed by asking respondents to rate their agreement with the following question: “I believe that [HPV infection] is…`severe' or `serious' or `significant.' [19]. This construct was assessed in 14 studies (18%) [6, 7, 9, 15, 24, 25, 29, 32, 33, 35, 48, 57, 77].

Items generally asked how upsetting or disruptive a diagnosis of HPV would be in terms of one's physical health, social relationships, or in finding a “long term sexual partner” [7, 9, 35], whether there are medical complications of HPV infection [29], and whether HPV can be cured [24], or is life-threatening [24]. Some studies asked about shame associated with a diagnosis of HPV [6, 32, 35, 48, 90]. The referent in most of these studies was oneself; in one study it was also a partner [57], and in another, the respondent's children [6]. Three studies did not report specific wording [15, 25, 33]. Of the studies that assessed perceived severity of HPV, two also assessed perceived severity of cervical cancer [24, 25]. One study assessed perceived severity of genital warts [77].

Perceived vulnerability to HPV is defined as the perceived likelihood of developing a health problem and is often assessed by asking “How likely is it you will get [HPV]” [19]. Items that address conditional perceived susceptibility typically ask about the likelihood of an event given that an action is/is not taken (e.g., “What would be the likelihood of getting [HPV] if you [did X]“), and items that address comparative perceived susceptibility typically ask “Compared to others your age, how likely is it you will get [HPV].” Perceived susceptibility was measured in 22 studies (28%); of these, 17 had items referring to susceptibility of oneself [7, 9, 10, 24, 25, 27, 29, 33, 35, 42, 47, 48, 51, 54, 57, 85, 91] and five had items referring to susceptibility of a daughter [6, 15, 25, 39, 85]. General perceived susceptibility items asked respondents to rate their own or their daughter's chances of having HPV or getting it in the future [6, 9, 15, 35, 39, 42, 57], or ability to avoid contracting it in the future [24]. One study addressed conditional perceived susceptibility, asking whether one's risk would be increased with riskier sexual activities [91]. Of the studies that assessed perceived vulnerability to HPV, three also assessed perceived vulnerability to cervical cancer in reference both to themselves [19, 24, 25, 54] and to their daughters [25].

Perceived benefits of the vaccine, defined as opinions about positive consequences of adopting a behavior [19], were assessed in 12 studies (15%). Nearly one-half asked about general benefits, [6, 25, 31, 44, 58] while others included more specific benefits, such as whether the HPV vaccine would help an individual to stay healthy [7, 10, 35], provide health benefits for oneself or one's partner [33, 35], including protecting against future HPV infection [54], or preventing cervical cancer [10, 50, 54], genital warts [8, 10, 50], or penile cancer [8]. One study [10] also explored the extent to which being a role model for one's children was perceived as a benefit of vaccination.

Perceived barriers, defined as opinions about logistical or psychological costs of engaging in a behavior [19], were assessed in 13 studies [7, 9, 10, 12, 15, 25, 33, 35, 38, 53, 54, 61, 77]. These items differed from those under the “willingness to vaccinate” construct conditioned on cost (discussed above), as they did not assess cost in relation to acceptability or intentions. Cost items directly asked whether cost was a barrier [10, 12, 53], the importance of the vaccine being free or low cost [9, 25, 38, 54], or inquired about impact of health insurance coverage of the vaccine [7, 77]. Other items assessed the impact of beliefs that getting “shots” would be difficult or painful [9, 33, 54]. Some assessed lack of knowledge about HPV or the vaccine as a barrier [33, 61]. A few studies focused on ease of getting to a provider [25] or difficulty obtaining the vaccine [33, 35].

Thirteen (16%) studies assessed perceived risks associated with the vaccine as a potential barrier by assessing general harmfulness of the vaccine [5, 79, 15, 33, 38, 44, 54, 55], or concern about getting HPV from the vaccine itself [8, 10] Others assessed specific risks, such as short-term or long-term side effects [5, 15, 44, 83], effects on adolescent development [5], and concerns about giving children too many vaccines [15, 61, 83]. Other risks included concerns about the vaccine influencing sexual behavior, for example, the extent to which vaccination would encourage earlier age at sexual debut [8, 12, 15, 44], diminish incentives for having safe sex [15, 31], and promote acceptance of having more sexual partners [15, 31].

Perceptions of who should receive vaccine

Seven studies (9%) inquired about the appropriate recipients of the vaccine (e.g., different age groups of girls) [5, 9, 12, 38, 54, 61, 78]. Some asked about vaccinating children before they become sexually active [5, 12, 54]. Five studies also measured agreement with vaccinating males [12, 38, 54, 61, 78] and two assessed attitudes toward vaccinating boys and girls [12, 61]. Perceived effectiveness of the vaccine was evaluated in eight studies (10%) [5, 7, 8, 12, 25, 31, 39, 54]. Typically, effectiveness was assessed in terms of protection from cervical cancer [5, 8, 12, 25, 31, 39, 54] or from specific types of HPV [5, 7, 8, 25, 54]. One [8] also asked about vaccine efficacy against penile cancer and genital warts.

Among other HPV attitudes and beliefs assessed were: perceived behavioral control in having a child vaccinated [31]; self-efficacy with regard to getting the vaccine once it became available [35] or ability to complete the three dose series [33]. Several other studies generally assessed the “importance” of the HPV vaccine [9, 10, 39, 83].

Social Influences

Subjective norms, as defined by the Theory of Reasoned Action, reflects normative beliefs, the perceptions of salient others' (e.g. spouse, friends) support for or opposition to a behavioral action, weighted by motivation to comply [92]. Typically, assessment of this construct involves pairs of questions. The first question assesses the respondent's perception of important others' attitudes toward a specified behavior. The second question then inquires about the degree to which important others' opinions influence the respondent's decision. The product of the question pairs (support multiplied by motivation to comply) reflects the full construct [19]. In this review, both aspects of subjective norms were measured in four studies [7, 31, 55, 74]. Four studies measured normative beliefs only [9, 15, 33, 54], and three studies measured motivation to comply [6, 39, 47], sometimes framed as a `cue to action.'

Descriptive social norms, for the purposes of this paper, were defined as “an individual's perceptions about the acceptability of a behavior” derived from communications from network members or by portrayals of behavior in the mass media [19]. Social norms were measured in two studies [15, 55]. Another form of social influence, provider recommendation of vaccination, was measured in ten studies [6, 7, 9, 12, 15, 25, 36, 39, 47, 54]. These generally asked, “Has your health care provider recommended the HPV vaccine [for you/for your daughter]?”

Conclusions

We believe this to be the first systematic review of measurement instruments used in published studies to assess knowledge, attitudes and beliefs, and behaviors regarding the HPV vaccine. In a prior review, Tiro and others [68] examined items used to measure vaccine behaviors in national surveillance programs. Other reviews [1, 3] have synthesized findings of studies addressing HPV knowledge and attitudes or beliefs about the HPV vaccine. The existing body of literature on HPV vaccine acceptability has identified a variety of individual and social factors that may impact uptake. These studies represent a beginning from which future inquiries will benefit. Yet there remains a need for validated measures in the field. Accurate measurement tools are critical for the identification of accurate and salient factors associated with vaccination. Data from such measures is critical to the development of evidence-based interventions to ensure widespread uptake of the vaccine.

In our review, we found that the bulk of research has focused on awareness and knowledge about HPV. This is not surprising, because the causal relationship between HPV and cervical cancer is a relatively recent discovery, HPV vaccines have only been available for a short time, and the field is in an early stage of development [93]. At least two-thirds of existing U.S. studies and 36% of non-U.S. studies in this review were conducted prior to vaccine licensure. In these studies, questions related to vaccine attitudes and behaviors were framed in hypothetical terms (e.g., “If there were a vaccine available…”) out of necessity. However, there is evidence to suggest that, under circumstances where benefits and potential harms are unknown-- such as in the case with a hypothetical vaccine scenario-- reported intention is not highly correlated with actual participation. For example, self-reported intention to participate in clinical trials is considerably lower than actual participation [94, 95]. On a related note, some studies asked about willingness to vaccinate a child if the respondent were to have one (i.e., hypothetical child). The validity of using instruments and comparing findings from inquiries of hypothetical versus actual vaccines and hypothetical versus actual daughters is unknown. However, one study [38] reported findings from surveys conducted among adults, some of whom had daughters and/or sons and some of whom did not. With respect to willingness to vaccinate a daughter or son, notable differences were observed in responses from parents and non-parents. Specifically, those with children had higher levels of willingness to vaccine them. This suggests that caution should be used when interpreting results from such studies.

We observed inconsistency between authors' labels for what they were measuring and the theory-based definitions endorsed by the National Cancer Institute [19]. Many authors used the same measures to assess constructs that they variously called “vaccine intentions” and “vaccine acceptability.” In addition, we noted a problem with conceptual overlap among constructs included in this review. Some studies combined items that addressed multiple constructs to form a single scale. The mixing of constructs within a single scale, and the overlap of items measuring disparate constructs can increase measurement error and diminished ability to compare findings across studies. Moreover, it diminishes the interpretability of psychometric properties of measures.

Of concern is that nearly 70% of the studies reported no information about reliability. Most frequently, internal consistency reliability (Cronbach's alpha) was the only attribute reported. This can be calculated following data collection, but it is a relatively weak indicator of measure quality. Reports of Cronbach's alpha were almost exclusively for knowledge scales, and they generally demonstrated adequate consistency, meaning that the items were measuring a single unidimensional latent construct. It does not mean that that they were measuring the construct they intended to measure, however, as we discuss below. A more important assessment would be stability of ratings over time, yet only one study assessed test-retest reliability [24].

Assessment of any form of validity was rare; only 16% of studies reported any information about this property. Content validity, assessed through expert opinion, was reported for some measures; other investigators pilot-tested instruments among individuals with similar demographic characteristics as their target audience. Yet, stronger forms of validation, including criterion and discriminant validity, were not reported for any of the measures in this review. In most cases, authors either developed items or adapted them from published research. This is understandable, given that there are not many existing measures specifically developed for HPV vaccination. However, reports provided little or no information about how they developed or adapted items, information that is considered essential in reporting guidelines [9699]. Of great concern is that a substantial number of studies used single items to assess relatively complex constructs, which makes it unlikely that these measures fully represented the intended construct. As such, information to guide investigators seeking to identify standardized measures or those with documented psychometric qualities for future research is limited.

The absence of information about potential cultural influences on HPV vaccine behaviors is also particularly notable, since these factors could play a crucial role in the development of vaccine intervention messages or the selection of channels of intervention delivery. A large portion of studies were conducted among college students and predominantly non-Hispanic White samples with relatively high levels of education. Black individuals represented one-quarter or more of the samples in only five studies [8, 25, 33, 34, 37]. And, few studies included meaningful numbers of Latinas, women in rural locations, and those with lower levels of income and education [100], although these groups are disproportionately affected by HPV-associated illnesses. Among the articles we reviewed, only one reported developing a survey in both English and Spanish [37]. No studies reported the literacy level required to read the measures. The historically low uptake of vaccines in high risk populations warrants a concentrated effort toward the development of measures that will provide the necessary data to develop culturally relevant and linguistically appropriate interventions.

Recommendations

We offer several recommendations about development and reporting of measures, in hopes of motivating efforts toward the development and use of standardized measures with demonstrated validity and reliability. We begin with recommendations that are applicable to measurement of any study topic, then address some of the unique challenges of measuring acceptability and uptake of a new vaccine for a sexually transmitted disease.

As this field of research advances, it is critical that increased attention be focused on the development of measures so as to improve our understanding of factors that influence vaccine uptake. One step toward this goal would be greater use and explication of conceptual underpinnings of studies. Theory provides conceptual clarity for construct definitions, guides the designation of primary and secondary outcomes, can identify potential mediating and moderating factors, determine the timing of data collection, and dictate analytic strategies. Greater use of standardized construct definitions, for example as provided by the NCI website, would facilitate consistent measurement and enable greater comparability of findings across studies. The majority of theory-based studies included in this review applied the Health Belief Model and Theory of Reasoned Action, which focus heavily on the influence of individual perceptions and behavior. We advocate use of a conceptual framework that also considers the influence of interpersonal relationships, institutional and health-system factors, mass media, as well as vaccine policy [101]. For this, an ecological model, such as that described by McElroy and colleagues [102], can facilitate a more comprehensive understanding of vaccine attitudes and behaviors in a broader context [101]. Moreover, it may be useful to draw from theories of informed decision making, such as those developed by O'Connor [103], as well as decision sciences [104].

As noted, the majority of studies to date focused on HPV knowledge. As knowledge levels increase over time and with greater exposure to information about the vaccine [3], additional emphasis on attitudes and beliefs is warranted, particularly because knowledge is a weak predictor of behavior [105]. While it is likely that intervention efforts will likely focus on disseminating knowledge, we recommend additional study of the specific domains of knowledge required for informed decision-making, such as vaccine risks, benefits, limitations, as well as predicted efficacy and duration of effect.

Exploration of other constructs, such as intention and actual behavior, will also be increasingly important as awareness of HPV and the vaccine increases. As time passes, it will be critical to measure compliance with the three-dose series and with cervical cancer screening recommendations, particularly among groups that suffer a disproportionate burden of HPV-associated illness. In addition, studies are needed to better understand provider knowledge and behaviors. Much attention has focused on individual or parental characteristics that influence decisions to vaccinate. However, if a provider does not recommend vaccination, individual and parental decisions may be inconsequential. It will also be important to understand the impact of direct-to-consumer advertising, extensive media attention, and controversial legislative efforts to mandate vaccine coverage on HPV-related attitudes and behaviors. While study of HPV vaccine uptake presents unique challenges given this context, studies of uptake of the Hepatitis B vaccine [106, 107] and acceptability of future HIV vaccines [108, 109] share similarities (e.g., sexual transmission) and could provide insights for the development of standardized measurements.

When necessary to develop original measures, review of items by a panel of experts [110], cognitive interviewing [111], and pilot testing of items among the intended audience [110] is recommended to optimize content validity, minimize “floor” or “ceiling” effects, and to improve understandability. Such efforts to develop questions to assess theoretically-derived constructs associated with HPV vaccine uptake are currently underway [112]. In addition, because HPV is a sexually-transmitted virus and some parents are concerned that vaccination may result in unsafe sexual behaviors, sensitivity is also needed in the development of items to assess vaccine decisions. To reduce the potential for social desirability bias or underreporting, questions should be constructed with neutral wording, could incorporate question stems that indicate researcher impartiality (e.g., “Many people believe that there are advantages and disadvantages to HPV vaccination”), or might utilize open-ended response options (e.g., “What are your concerns about vaccinating your daughter?”) [110].

Overall, inclusion of more detail about measures in study reports such as information about methods used to develop measures, changes made to existing measures if used, as well as strategies employed to assess validity and reliability would facilitate methodologic advancements. Reporting standards, CONSORT (Consolidated Standards of Reporting Trials) [96, 97], TREND (Transparent Reporting of Evaluations with Non-Randomized Designs) [98], and STROBE [99] provide detailed guidance for reporting important details about study methods and results for the respective types of study they address. Greater consideration and use of these guidelines would ensure the availability of information needed to assess strengths and limitations of research in this field. Moreover, establishing a central repository for measures would aid investigators in identifying tested items, the use of which would facilitate cross-comparison of study findings. Agencies funding such research ought to collaborate to create this repository and consider requiring this sharing function for newly funded research.

We also recommend more attention to the development and testing of measures for high-priority audiences. While women in the HPV vaccine “catch-up” age group (i.e., 13–26 years of age) are currently an important target audience, parents will likely be the primary audience at whom future vaccination efforts are directed, particularly those who are members of `minority' racial and ethnic groups, individuals with low literacy skills, and non-English speakers. These groups experience disparities to access of health information and may also have diminished access to vaccine [113]. Notably, rates of initial vaccination appear to be higher among those with lower levels of income and education, as well as Hispanics [114]. This may be due to reduced financial barriers to the vaccine because of the federal Vaccine for Children Program, which makes vaccine available free-of-cost. Nevertheless, we believe that these groups remain a high priority for intervention efforts because of diminished access to information about the vaccine [113], lower rates of completion of the three-dose series [115], and unremitting disparities in cervical cancer incidence and mortality [116]. Development of valid and reliable instruments to assess knowledge, attitudes and behaviors across audiences that are diverse with respect to race/ethnicity, language, literacy levels-- as well as gender [117] now that the vaccine is available to boys-- will require time, resources, and a concerted effort among investigators. In the meantime, giving research consumers sufficient information with which to assess the quality of measures is essential for judicious application of study findings.

Evidence-based interventions for HPV vaccination are needed. Such interventions will be guided by the literature on factors associated with vaccine intentions and acceptability. While the currently-available literature provides the preliminary foundation from which to launch such efforts, additional development of measures to assess factors that influence vaccine decision-making is needed to further advance this goal.

Acknowledgements

Research for this publication was supported by the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute (NCI) cooperative agreements for the Cancer Prevention and Control Research Networks (CPCRN) at Emory University School of Public Health (1-U48 DP00043); Harvard School of Public Health/Boston School of Public Health (1-U48-DP000064); Morehouse School of Medicine, Prevention Research Center (1-U48-DP00056); University of California at Los Angeles School of Public Health (1-U48-DP00059); University of North Carolina at Chapel Hill, Center for Health Promotion and Disease Prevention (1-U48-DP000056); University of Texas School of Public Health ((1-U48-DP-000057); and University of Washington School of Public Health and Community Medicine/ Fred Hutchinson Cancer Research Center (1-U48-DP000050).

We thank Wanda Anderson, Roshan Bastani, Erin Breen, Noel Brewer, Emily Chasson, Sandy Dunstan, Sarah Eichenberger, Karen Glanz, Michael London, Nicole Neibaur, Hallary Patch, Byron Raines, Jillian Varley, Vicky Taylor, Laura Tom, Guillermo Tortolero-Luna, for their contributions to this work.

Footnotes

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Disclaimer The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

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