Predicting Human Papillomavirus Vaccine Uptake in Young Adult Women: Comparing the Health Belief Model and Theory of Planned Behavior

Department of Medical Humanities and Social Sciences, College of Medicine, Florida State University, 1115 West Call Street, Tallahassee, FL, 32306-4300, USA, .
Annals of Behavioral Medicine (Impact Factor: 4.2). 05/2012; 44(2):171-80. DOI: 10.1007/s12160-012-9366-5
Source: PubMed


Although theories of health behavior have guided thousands of studies, relatively few studies have compared these theories against one another.
The purpose of the current study was to compare two classic theories of health behavior-the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB)-in their prediction of human papillomavirus (HPV) vaccination.
After watching a gain-framed, loss-framed, or control video, women (N = 739) ages 18-26 completed a survey assessing HBM and TPB constructs. HPV vaccine uptake was assessed 10 months later.
Although the message framing intervention had no effect on vaccine uptake, support was observed for both the TPB and HBM. Nevertheless, the TPB consistently outperformed the HBM. Key predictors of uptake included subjective norms, self-efficacy, and vaccine cost.
Despite the observed advantage of the TPB, findings revealed considerable overlap between the two theories and highlighted the importance of proximal versus distal predictors of health behavior.

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    • "A previous study used the health belief model to predict vaccine intentions among college-age women and also found that women's self-efficacy was one of the major predictors for HPV vaccine intent and behavior [24]. Using the theory of planned behavior, Gerend and Shepherd [25] also found that key predictors for receiving HPV vaccination by young adult women included subjective norms, self-efficacy, and vaccine cost. "
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    ABSTRACT: Objective To investigate factors influencing commitment to human papilloma virus (HPV) vaccination and prior vaccination among female college students in northern Taiwan. Methods A quota sample of 400 female college students was recruited from nine colleges in northern Taiwan during March 2013. Of these, 398 completed the self administered questionnaire which was designed based on the health promotion model. Results The results showed that factors associated with prior vaccination behavior were family history of gynecologic malignancy, ever being advised to get HPV vaccination, perceived barriers of action and perceived self-efficacy. Predictors for commitment to HPV vaccination in the next 6 months were the cost of vaccination, ever being advised to get HPV vaccination, perceived self-efficacy and situational influences. Perceived self-efficacy was significantly influenced by relationship status, past receipt of a recommendation for HPV vaccination and level of knowledge about HPV. Conclusion When formulating vaccination policies, governmental or medical institutions should include these factors to promote vaccination.
    Journal of Gynecologic Oncology 07/2014; 25(3):188-97. DOI:10.3802/jgo.2014.25.3.188 · 2.49 Impact Factor
    • "This study adopted the theory of planned behavior (TPB) (Ajzen 1991) (Fig. 1) in modeling the cognitive factors influencing the behaviors of scaffolders. The TPB had been widely applied in many areas such as traffic safety, health interventions, adolescent behavior, food safety, and information security [e.g., Gerend and Shepherd (2012), Heirman and Walrave (2012), Ifinedo (2012), Milton and Mullan (2012), and Parker et al. (1992)]. The TPB postulates that planned behaviors are significantly influenced by intention, subjective norm (SN), attitude, and perceived behavioral control (PBC). "
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    ABSTRACT: A neural network analysis was conducted on a quantitative occupational safety and health management system (OSHMS) audit with accident data obtained from the Singapore construction industry. The analysis is meant to investigate, through a case study, how neural network methodology can be used to understand the relationship between OSHMS elements and safety performance, and identify the critical OSHMS elements that have significant influence on the occurrence and severity of accidents in Singapore. Based on the analysis, the model may be used to predict the severity of accidents with adequate accuracy. More importantly, it was identified that the three most significant OSHMS elements in the case study are: incident investigation and analysis, emergency preparedness, and group meetings. The findings imply that learning from incidents, having well-prepared consequence mitigation strategies and open communication can reduce the severity and likelihood of accidents on construction worksites in Singapore. It was also demonstrated that a neural network approach is feasible for analysing empirical OSHMS data to derive meaningful insights on how to improve safety performance.
    Construction Management and Economics 12/2013; 31(5). DOI:10.1080/01446193.2013.797095 · 0.80 Impact Factor
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    • "As mentioned before, they frequently overlap, or describe different aspects of the same construct, or even describe the same construct in different language (Ajzen 1998; Armitage & Conner 2000; Noar & Zimmerman 2005; Weinstein 1993; Weinstein & Rothman 2005). Given the problem of potential construct overlap, some experts have called for studies that not only pit multiple theories against each other, but also compare individual theories and models with a single theory that incorporates the most promising and robustly supported elements from among the group (Noar & Zimmerman 2005; Weinstein 1993; Weinstein & Rothman 2005; Gerend & Shepherd 2012). Extant comparative research is scarce and imperfect. "
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    ABSTRACT: There is a growing consensus that results generated through multiplex genetic tests, even those produced as a part of research, should be reported to providers and patients when they are considered "actionable," that is, when they could be used to inform some potentially beneficial clinical action. However, there remains controversy over the precise criterion that should be used in identifying when a result meets this standard. In this paper, we seek to refine the concept of "actionability" by exploring one proposed use for genetic test results. We argue that genetic test results indicating that a patient is at risk for developing a chronic health condition should not be considered actionable if the only potential value of that result is to motivate patients to make changes in their health behaviors. Since the empirical research currently available on this question is equivocal, we explore relevant psychological theories of human motivation to demonstrate that current theory does not support the assumption that information about genetic risk will be motivating to most patients in their attempts to make changes in health behaviors.
    08/2013; 9(8):1-15. DOI:10.1186/2195-7819-9-8
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