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The health belief model (HBM) is the behavioral change theory most widely used in health behavior studies. Several studies have identified the limitations of this model, one of which concerns the validity in predicting behavioral changes. The purpose of this paper, scoping review, is to map the validity of HBM variables in predicting behavioral changes based on available synthesized evidences.

A scoping review was conducted using the Arksey and O’Malley’s framework. PubMed, Health Evidence, Cochrane Database of Systematic Reviews, ScienceDirect and Google Scholar were searched using a combination of keywords: health belief model, review, systematic review and meta-analysis between February 15 and March 18, 2016.

Of the 1,457 articles, 4 met the inclusion criteria. All results showed that HBM variables were consistently related to behaviors and the strength of the correlation were varied. Perceived barriers and perceived benefits were the strongest predictor, while perceived severity was the weakest. The association between HBM variables and behaviors was moderated by some aspects of behavioral outcomes, the study design and the time interval between measurement of the HBM variables and behavior.

Although the four main variables of HBM have been shown to be related to behavior, the overall outcomes are varied and have not demonstrated conclusive evidence during the last ten years. The results of this scoping review imply the need for a systematic review and meta-analysis of the results of recent studies. In addition, more longitudinal studies are needed to ensure the validity of HBM variables by considering any possible moderators.

This study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social media messaging (firm-generated content and their local community's responses (user-generated content) evolved with the COVID-19 outbreak progression.

This research proposes a healthcare-specific social media analytics framework and studied 68,136 tweets posted from November 2019 to November 2020 from a geographically diverse set of ten leading hospitals' social media messaging on COVID-19 and the public responses by using social media analytics techniques and the health belief model (HBM).

The study found correlations between some of the HBM variables and COVID-19 outbreak progression. The findings provide actionable insight for hospitals regarding risk communication, decision making, pandemic awareness and education campaigns and social media messaging strategy during a pandemic and help the public to be more prepared for information seeking in the case of future pandemics.

For hospitals, the results provide valuable insights for risk communication practitioners and inform the way hospitals or health agencies manage crisis communication during the pandemic For patients and local community members, they are recommended to check out local hospital's social media sites for updates and advice.

The study demonstrates the role of social media analytics and health behavior models, such as the HBM, in identifying important and useful data and knowledge for public health risk communication, emergency responses and planning during a pandemic.

The purpose of this study is to offer a conceptual model that bridges gaps in the current research by combining constructs from the health belief model (HBM) and theory of planned behaviour (TPB). Furthermore, the researchers applied the constructed model to analyse the determinants of workers’ intentions to use e-wallet payment options for business transactions rather than physical currency during the ongoing COVID-19 pandemic. Finally, the paper examines whether there are any significant variations in the usage intentions of Ghanaian workers in the formal and informal sectors.

The non-probability convenience sampling technique was used to compile the primary respondents among Ghanaian users of e-wallets. Based on constructs derived from the HBM and TPB, an online survey involving the use of a questionnaire was administered to collect quantitative data from 285 formal and informal sector workers in Ghana. Data collected was analysed using the partial least squares-structural equation modelling approach involving the measurement, structural model tests, hypothesis tests and multi-group analysis (MGA) tests.

This study reveals that workers’ attitudes, subjective norms and perceived susceptibility as the main determinants of intentions to use e-wallets, as the analysis of data lends support to hypotheses involving these constructs. Perceived behavioural control was however not supported by the data analysis as a determinant of workers’ intention. Finally, there were no significant differences between e-wallet usage intentions of formal and informal sector workers in Ghana.

Given the ongoing pandemic, the study recommends that governments of emerging economies should formulate policies that promote the use of e-wallets, to reduce the spread of COVID-19 and at the same time contribute to the quest for a cashless economy. However, the results of the study are only based on data collected from workers in Ghana. Therefore, practitioners should apply the recommendations with discretion and make modifications where necessary. The results of the study also provide evidence from the context of a developing country that can support future academic pursuits.

This study provides evidence that influences practitioners’ decisions and practices regarding the design and implementation of e-wallet services and innovations among workers in the formal and informal sectors of the economy.

This study provides useful business insights to user acquisition managers, marketing managers and business development managers during the formulation of policies, strategies and approaches for their mobile wallet subscriber base. Moreover, to the best of the authors’ knowledge, this study is one of the first to apply the constructs of the HBM (mainly applied in health research) to the study of workers’ intentions to use e-wallets. It, therefore, makes a significant contribution to the existing literature by examining the combined effects of the constructs of the HBM and the TPB on workers’ intention to use e-wallets.

The purpose of this paper is to investigate how the information about haze, a term used in China to describe the air pollution problem, is portrayed on Chinese social media by different types of organizations using the theoretical framework of the health belief model (HBM).

A content analysis was conducted based on the 756 posts retrieved from Sina Weibo, the top microbloging platform in China, following the simple random sampling method. χ2 analysis was conducted to examine the relationships across the three types of organizations (governmental organizations, non-governmental organizations, and corporations) and the use of the HBM concepts (perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action) in terms of haze and its threat to health.

The results of this study indicated that corporations posted more Weibo messages categorized as perceived benefit and most of these posts are related to their products, while governmental organizations posted fewer Weibo messages categorized as perceived severity.

This study provides health decision makers and media consumers with knowledge about how to use social media more effectively in terms of haze-related issues.

Given the severity of air pollution and the influential role microblogging takes, the study aims to fill the gap in the limited literature on haze information dissemination on social media in China. In addition, this study aims to shed theoretical light on HBM as applied to a non-westernized context.

The purpose of this paper is to critique and evaluate need-driven dementia compromised behavior theory and the health behavioral model using Meleis’ (2010) criteria of theory evaluation.

Theory critique using Meleis’ (2010) criteria of theory evaluation.

This paper provides a conclusion about each theory in terms of agitation in the elderly. Meleis’s (2010) criteria will be used for both theories to evaluate different components such as the relationship between structure and function, diagram of the theory, circle of the contagiousness, usefulness and external components.

The critique of the two theories broadened the nurses’ understanding of the connection between the NDB model and the behavior symptoms, including agitation and its related issues. Further studies need to be conducted to shed light on the other aspects of the behavioral symptoms in elderly with dementia that supports the results of this study, like its specific causes, trigger factors and other intervention strategies. Nurses should be able not only to understand the patient’s behavior symptoms but also to decode them into communication signals to meet their needs in a more effective way.

The purpose of this paper is to examine the ability of the harmonic balance method for predicting the aerodynamic characteristics of rigid finned spinning vehicle.

The aerodynamic characteristics of a rigid four-finned spinning vehicle at Mach number 2.5 and angle of attack of 20 degrees are simulated using the harmonic balance method and the unsteady time-accurate approach based on the dual-time method. The numerical results are analyzed, and the computed aerodynamic coefficients of the harmonic balance method are compared with those of the dual-time method. The influence of the number of harmonics is presented. The computed Magnus force and moment coefficients are compared with the experimental data. The flow fields at different roll angles are presented. The computational efficiency of harmonic balance method is analyzed.

The results show that the aerodynamic coefficients of spinning vehicle could be predicted by the harmonic balance method with reasonable accuracy compared with the dual-time method. For the harmonic balance method, the accuracy of the computed leeward side flow is relatively poor compared with that of the computed windward side flow. Meanwhile, the computational efficiency is influenced by initial guess and the intensity of unsteady effect.

The harmonic balance method could be used for the aerodynamic prediction of spinning vehicle, which may improve the efficiency of vehicle design.

This paper presents the results of the harmonic balance method for simulating the aerodynamic characteristics of finned spinning vehicle. The accuracy and efficiency of the method are analyzed.

This paper uses a supplemented health belief model (HBM) to explain the risk perception of COVID-19 coronavirus infection by potential and actual domestic and international travelers (from primarily European countries) in the early pre-vaccine phase of the pandemic and its influence on their travel intentions, decisions, and actions. With a health crisis of this magnitude, it is vital to understand the effect of COVID-19-associated containment measures and safety industry strategies in abating public fear and apprehension associated with non-essential travel.

The authors used a sequential transformative design consisting of a (QUAN + Qual) survey to explore the HBM dimensions. The questions in the quantitative part of the survey were disseminated online examine perceptions of the severity and susceptibility of the disease, travel risks and willingness to travel. The questions in the qualitative face-to-face survey examined, how international/cross-border travelers (from Spain and Germany) perceive the benefits and barriers of personal protective behavior and the potential influence of cues to action.

Results suggest that despite potential fear arousal and confusion associated with this infectious disease, people were willing to travel during periodic on-and-off travel restrictions and perceive the benefits of such travel as outweighing barriers like wearing masks, social distancing and other containment measures.

The conceptual model enabled the capture of real-time traveler's feelings about the benefits of traveling in the presence of the coronavirus and their perceptions of COVID-19 safety strategies used at destinations. This study adds to the lack of existing knowledge about potential psychological factors influencing travel decisions and behavior, including self-protective behavior. As borders reopen and we progress towards tourism and hospitality recovery, the results of this study can assist organizations, including health officials and governments, by reminding them of the likelihood of residual public fear when planning their COVID-19 safety strategies.

Given the scarcity of COVID-19 research on people's travel intentions and behavior following periods of social isolation due to lockdowns and border closures, this study captures sample public perceptions at two stages early in the pandemic. It is the first to apply all of the HBM dimensions with the addition of travel risk as a construct to investigate people's travel intentions and behaviors without vaccinations or treatments and to include cues to action in the investigation.

Shifting to mobile-based banking transactions from physical banking transactions can be considered as a social distancing mechanism, which helps to prevent the spread of Covid-19 virus. As the spread of Covid-19 is expected to continue for long, the continued usage of mobile-based payment services as a strategy to maintain social distancing has to prevail. Hence, this study aims to propose an integrated framework of mobile payments adoption and its continuance intention by integrating health belief model (HBM) and expectation confirmation model (ECM) of information system continuance.

The subject of the study constitutes new adopters of mobile payments. A total of 654 respondents participated in the survey. The conceptual model was empirically validated using structural equation modeling and serial mediation analysis.

The study found that the HBM constructs, namely, perceived severity, perceived susceptibility and self-efficacy significantly influenced adoption/confirmation of mobile-based payment services. The continuance intention was significantly predicted by perceived usefulness and perceived satisfaction. Furthermore, the perceived health threat (comprising perceived severity and perceived susceptibility) indirectly affects continuance intention through confirmation, perceived usefulness and satisfaction.

There are short-term and long-term implications for the study. Short-term implications include triggering the HBM at policy levels, to adopt mobile payments/banking as a means of social distancing in the wake of the increasing threat of Covid-19 in India. Long-term implication for service providers is to convert adopters into loyal consumers by enhancing usefulness and satisfaction.

The study proposes a novel attempt to explain the adoption and continuance of mobile-based payment as a preventive health behavior to contain the spread of Covid-19 outbreak. The study proposes an integrated framework of HBM and ECM to explain pre-adoption and post-adoption behavior of consumers with respect to mobile-based payment services during Covid-19 context.

The study aims to examine social-psychological beliefs and personality traits and their linkage with driver predispositions and road safety behaviour grounded on notions derived from an integration of the health belief model (HBM) and the theory of planned behaviour (TPB) in social marketing.

The study used a cross-sectional survey to gather data from 587 licenced drivers in 3 major urban settlements in Ghana. The theoretical model was tested by using covariance-based structural equation modelling.

The study finds that the effects of perceived benefits, perceived behavioural control, social norms and cues to action on road safety behaviour are direct; the effects of perceived susceptibility, severity and barriers on road safety behaviour are fully mediated by driver attitude towards safe driving. Some of these effects were moderated by conscientiousness and neuroticism.

The findings offer empirical grounds for the development of evidence-based social marketing interventions that leverage efficacy-centred messages, social influence through community-based approaches, informational cues with consistent education and are tailored to the personality traits of drivers with the aim of inducing wilful on-road safety behaviour towards achieving sustainable road safety culture.

This study extends the integrative applicability of the HBM and TPB in understanding road safety behaviour and establishes attitude as a vital facilitator, and personality traits as moderators of the belief-preventive behaviour linkage within a developing country context. It contributes towards the use of theory-based outcomes to enhance the efficacy of social marketing road safety campaigns.

The purpose of this paper is to determine the effectiveness of a modified HBM-based intervention to reduce body mass index (BMI) for age in overweight junior high school students.

A cluster-randomized controlled trial was conducted in the first and second years of a junior high school in the center of Thailand. In total, 24 classrooms were randomly assigned to a modified health belief model intervention arm (HBMIA), and 24 classrooms were randomly assigned to a traditional school health education arm (control). In total, 479 students who were overweight (BMI forage = median +1 SD, aged 12–15 years) participated in the study. The HBMIA used the health belief model (HBM) as a motivator for behavioral strategies that included modifying diet and participating in physical activity. BMI, health knowledge and behavior for preventing obesity were recorded at baseline and at six months. A multilevel regression model was performed to calculate mean difference between HBMIA and control group.

The students who participated in the HBMIA showed a decrease in BMI of 1.76 kg/m², while those who participated in the control showed an increase in BMI of 1.13 kg/m², with a mean difference of –2.88 kg/m² (95% CI =–3.01 to –2.75), an improvement in health knowledge (mean difference 27.28; 95% CI =26.15–28.41) and an improvement in health behavior (mean difference 23.54; 95% CI =22.60–24.48).

A modified HBM-based intervention to reduce BMI for age is effective in overweight junior high school students.