Integrated Behavior Model Research Articles

A Method Proposal for Determining Health Communication Campaigns’ Messages

Abstract This research is focused on the question of deciding what to say in a (health) communication campaign. The goal is to search for ways of selecting/tailoring effective campaign messages which are persuasive for the targeted audiences. Accordingly, by considering Social Judgement Theory in the foundation of Integrated Behavior Model; two variables, belief strength and involvement are proposed with a method to predict the persuasiveness of campaign messages. When the people have strong beliefs and high involvements, a message that does not match with the most important behavioral determinant should be used in the campaign. However, when the people have weak beliefs, a message matching with the most important behavioral determinant should be used without considering the involvement level. These hypotheses are tested in the field of health communication on (cervical cancer) HPV vaccine acceptance and all accepted. CATI is used to collect data on surveys. The study sample, which is derived through a method close to probability sampling, is consisted of mothers who live in Istanbul/Turkey and have at least one 11-26-year-old daughter(N=145). Multiple linear regressions, decision trees (CHAID) and ANOVA are used for the analysis.

Knowing the User: Using the integrated Behavior Model to Understand the Barriers and Motivations in Diabetic Retinopathy Eye Screening

In the United States, Diabetic Retinopathy (DR) is the leading cause of blindness in diabetic adults (Garrett, 2002). DR is usually asymptomatic until it progresses to later stages, culminating in vision-threatening diabetic retinopathy (VTDR). Treatment for this condition is 95% effective if discovered early, but screening compliance is poor (Lee, et al., 2003). The Integrated Behavior Model (IBM) is a model that predicts not only the intention to behave but also environmental constraints that may affect the behavior itself. A survey was developed using this model’s framework to understand impediments and motives for eye screening of diabetic people with different types of insurance. The interviews from this study will give a thorough understanding of the potential barriers and facilitators to diabetic eye screening, for those who are at high risk of VTDR. This understanding will contribute to the development of an interface to support the process of eye care coordination regarding DR.

THE EFFECTS OF GENDER ON THE UNDERGRADUATING STUDENTS’ ENTREPRENEURIAL INTENTION

The purpose of this research paper is to investigate the effect of gender on students’ entrepreneurial intention (EI) as well as the determinants of the EI. This research integrated the Theory of Planned Behaviour and Integrated Behavioural Model in adapting the variables in determining the intention. This paper has two objectives, initially it aims to contribute to the literature on EI by integrating the Theory of Planned Behavior (TBP) and Integrated Behavior Model (IBM) to the Malaysian settings. Then, it investigated the effect of gender on Attitude, Perceived Behavioral Control (PBC) and Self Efficacy (SE) towards behavior on students’ entrepreneurial intention in the future. The sample consists of 429 UiTM students who have taken the entrepreneurship course. The data was analyzed using Smart PLS 3.3.7. The findings of this study revealed that gender has no significant relationship with students’ EI, attitude, PBC and SE towards students’ entrepreneurial intention. In terms of the integrated model, the findings discovered that attitude and PBC have a statistically significant relationship with EI. However, SE does not have a significant relationship towards EI. The findings will help the policymakers or the higher education institutes in developing a suitable policy and program in promoting entrepreneurship to the university graduates at the national level.

Behavioral Determinants of Routine Health Information System Data Use in Senegal: A Qualitative Inquiry Based on the Integrated Behavioral Model.

Routine health information system (RHIS) data are essential in driving decision making and planning in health systems as well as health programs. However, despite their importance, these data are underutilized, and the underlying individual-level facilitators and barriers to use remain understudied. In this research, we applied the Integrated Behavior Model (IBM) to examine how attitudes toward RHIS data, perceived norms concerning RHIS data use, and the ability to use RHIS data influence the demand and use of RHIS data among stakeholders in Senegal. Using data from interviews with respondents working at national levels of malaria, HIV, and TB control programs in Senegal, we used a framework analysis approach to apply the IBM behavioral constructs and identify their linkages to RHIS data use. We found that attitudes about the quality, availability, and relevance of RHIS data for decision making were important in driving data use among respondents. Institutional expectations, organizational protocols, policies, and practices around RHIS data ultimately shape social norms around the use of the data. Although we found that perceived ability and self-efficacy to use RHIS data were not barriers to RHIS data use among stakeholders at the strategic levels of their respective organizations, these were reported to be barriers at lower levels of the health system. Low perceived control of the RHIS data production process ultimately reduced RHIS data use for decision making among the strategic-level respondents. We recommend context-specific reexamination of existing RHIS interventions with a renewed emphasis on behavioral aspects of data use. The IBM can help guide practitioners, policy makers, and academics to address multiple socioecological factors that influence data use behavior when recommending RHIS and data use solutions.

Why Do Young Adults in the United States Have Such Low Rates of Organ Donation Registration?

The demand for transplantable organs has outpaced the supply. Thus, 20 Americans die every day while waiting for an organ. Although most adults support organ donation, 42% are not registered. The rate is even lower among young adults who are not enrolled in/never graduated from college. The aim of this study was to use the Integrated Behavior Model (IBM) to identify factors that predicted organ donation registration among a racially diverse sample of non-student young adults. The study was observational and cross-sectional. Proportional allocation was used to identify a racially diverse sample of 550 non-student, young adults from ten states in the U.S. with the lowest registration rates. A valid and reliable survey was designed, pilot-tested, and administered. A total of 407 young adults completed the survey (74%). Only 19% were registered donors. Caucasians were more likely to be registered donors than racial minorities, χ² (3, N = 407) = 15.19, p = 0.002. Those with more positive direct attitudes toward registration were 1.5 times more likely to be registered than those who had negative direct attitudes. Among non-registrants, indirect descriptive norm and direct attitude were statistically significant predictors of behavioral intention. Moreover, those who knew someone who donated an organ and knew someone who needed a transplant were nearly three times more likely to intend to register in the next year. The IBM proved useful in elucidating factors that predicted intention to register among non-student young adults. The IBM should be used by those who desire to increase registration rates.

Parental intention to vaccinate adolescents with HPV vaccine in selected communities in Ibadan, Southwest Nigeria: an application of Integrated Behavioral Model

ABSTRACT Parents have important roles to play for adolescents to get the human papillomavirus (HPV) vaccine, an effective measure in the prevention of cervical and other HPV-related cancers. It is important to understand the intention of parents to have their adolescents vaccinated for optimal uptake of the vaccine in Nigeria. This study investigated the intention of parents in five selected communities to get their adolescents vaccinated with HPV vaccine in Ibadan, Nigeria using the Integrated Behavioral Model (IBM). Cross sectional study design was employed and 678 parents were interviewed. Pearson correlation, chi-square test and multiple regression were used for data analysis at α = 0.05. Mean age of the parents was 42.5 ± 10.0 years and 230(33.9%) were males. Almost all of the parents (96.8%) had the intention to vaccinate their adolescents with HPV vaccine. This intention was significantly correlated with experiential attitude (r = 0.74, p = <.01), instrumental attitude (r = 0.33, p = <.01), injunctive norm (r = 0.39, p = <.01), descriptive norm (r = 0.32, p = <.01), perceived control (r = 0.32, p = <.01) and self-efficacy (r = 0.46, p ≤ .01). A higher proportion of parents older than 65 years significantly had no intention to vaccinate their adolescents with HPV vaccine. Intention to vaccinate adolescents with HPV vaccine was predicted by experiential attitude (OR = 0.88, 95% CI: 0.80–0.95), personal agency (OR = 0.22, 95% CI: 0.15–0.29) and injunctive norm (OR = 0.08, 95% CI: 0.02–0.13). Parental intention to vaccinate adolescents with HPV vaccine was high among the parents in this study. The reluctance of older parents about HPV vaccine for adolescents requires further investigation.

Using Integrative Behavior Model to Predict COVID-19 Vaccination Intention among Health Care Workers in Indonesia: A Nationwide Survey.

Background: Health care workers (HCWs) are a high-priority group for COVID-19 vaccination for several reasons. Health behavior theory-based studies on the intention or acceptability of COVID-19 vaccination among Indonesian HCWs is lacking. Using an integrated behavioral model, this research sought to identify Indonesian health care workers’ intentions to obtain COVID-19 vaccines. Methods: A countrywide cross-sectional questionnaire-based survey was conducted. The questionnaire was constructed on the basis of IBM (integrated behavioral model) constructs and scored on a seven-point bipolar scale. A hierarchical multivariable regression was used to evaluate the fit of the predictor model as well as the correlations between variables in the study. Results: 3304 people responded to the survey. A model combining demographic and IBM characteristics predicted 42.5 percent (adjusted R2 = 0.42) of the COVID-19 vaccination intention. Vaccination intention was associated with favorable vaccine attitudes, perceived norms, and self-efficacy. Among the determining constructs, behavior belief predicted vaccination intention the best. Being female, being married, having a history of COVID-19 infection, living outside Java Island, and having a low income were all linked to lower vaccination intentions. Conclusions: This study confirms the IBM model’s robustness in predicting health care workers’ intention to vaccinate against COVID-19.

Elementary School Nurses' Perceptions Regarding Menstruation Education: An Exploratory Study.

Menarche can be a difficult transition for young people. With appropriate education, youth can feel more positively about the menstrual experience. Since many elementary teachers are not equipped with menstrual health knowledge, the education falls to the school nurse. However, it is unknown if school nurses feel comfortable communicating about menstruation with young people. The purpose of this study was to explore school nurses' perceptions regarding menstrual health education in elementary schools (grades K-5).An online mixed-methods survey was established using Qualtrics. Through snowball sampling, 30 elementary school nurses responded. Using the Integrated Behavioral Model (IBM) as a framework, a deductive semantic thematic analysis was used to identify themes for each question.Data suggested that elementary school nurses would participate in professional development regarding menstrual health and hygiene. School health nurses are receiving limited knowledge/skills surrounding pedagogy and are not familiar with cultural differences when it comes to menstrual health.

Hesitancy to COVID-19 Vaccines among University Students in Lebanon

PurposeThe aim of the study is to assess the readiness and behavioral intentions of students enrolled at the American University of Beirut (AUB), Lebanon to obtain the COVID-19 vaccine. To our knowledge, this is the first study to assess vaccine hesitancy among university students in Lebanon.Methods & MaterialsWe conducted an online survey between May 11 and June 18, 2021 administered to a total of 3805 undergraduate and graduate students. We used three models as the theoretical framework of the study. These include the Integrated Behavioral Model (IBM) (to assess attitude, perception and behavioral intentions), Precaution Adoption Process Model (PAPM) (to assess readiness to adopt a preventive health behavior), and the Extended Parallel Processing Model (EPPM) (to assess cognition and emotional reactions). Chi square and logistic regression were performed using STATA.ResultsThe study included 800 participants (21.02%) from all faculties (n=7) at AUB. The mean age was 21 years with the majority being undergraduate students (75%). The vaccine acceptance group represented 87.01% of the study participants while the hesitant and refusal groups accounted for 10.21%, and 2.77%, respectively. Our results showed that hesitancy was significantly associated with nationality, residency status and university rank (p value< 0.05). Moreover, there was a significant association between hesitancy and agreement/disagreement to the conspiracy type of thinking questions. Interestingly, the majority of the hesitant group agreed that the mainstream media is creating unnecessary fear towards COVID-19 (54.43%) and that millions more people per year die from flu than from COVID-19 (40.51%). Students reporting that pharmaceutical companies adequately tested the safety of the vaccine (OR=0.52; 95% CI=0.19-1.43; p value=0.21) and those who consider the vaccine in agreement with their personal views (OR= 0.11, 95% CI= 0.02-0.51, p value= 0.004) were less likely to be hesitant. Interestingly, history of COVID-19 infection didn't affect the participants’ willingness to get vaccinated.ConclusionOur results showed a low hesitancy rate among students enrolled at AUB. The factors associated with hesitancy can be used as a core content to organize social campaigns for spreading awareness and increasing the acceptance rate of COVID-19 vaccination.

Barriers to and Facilitators of COVID-19 Prevention Behaviors Among North Carolina Residents.

COVID-19 was the third leading cause of death in the United States in 2020. Prior to the wide dissemination of SARS-CoV-2 vaccines, individual prevention behaviors, such as wearing face masks, have been the primary non-pharmaceutical interventions to reduce infections. We surveyed 404 North Carolina residents recruited through Amazon MTurk in July 2020 to assess adherence to key prevention behaviors (6-foot distancing, mask wearing, and gathering limits) and barriers to and facilitators of adherence. Participants reported past 7-day prevention behaviors and behavioral barriers and facilitators informed by the Integrated Behavior Model and the Health Belief Model (perceived risk, perceived severity, behavioral attitudes, injunctive and descriptive norms, and personal agency). Reported adherence to each behavior in the past 7 days was generally high, with lower adherence to 6-foot distancing and mask wearing in the work context. The most commonly endorsed barriers to 6-foot distancing included physical impediments, forgetting, and unfavorable descriptive norms. For mask wearing, ability to keep a distance, discomfort/inconvenience, and forgetting were most commonly endorsed. In logistic regression models, injunctive social norms followed by perceived personal agency were the strongest independent correlates of 6-foot distancing. Behavioral attitudes and injunctive social norms were independently associated with mask wearing. For gathering size limit adherence, perceived personal agency was the strongest independent predictor followed by perceived severity of COVID-19. Messaging campaigns targeting these barriers and facilitators should be tested. Interventions improving the convenience and salience of physical distancing and mask wearing in high-density public places and places of work may also promote prevention behaviors.

Facilitators and barriers to implementing shared decision making: A cross-sectional study of physicians in Japan

ObjectiveShared decision making (SDM) is a collaborative process in which patients and healthcare providers jointly make a medical decision. This cross-sectional study aimed to identify the facilitators and barriers to self-reported implementation of SDM in Japan, and to explore if there is effect modification by hospital types. MethodsA total of 129 physicians in Japan completed a questionnaire that asked about their perception of SDM based on SDM-Q-Doc and its facilitators and barriers, which corresponded to each construct of the integrated behavioral model (IBM). The association between facilitators and barriers and SDM-Q-doc score was assessed using linear regression analysis. Stratified analysis by hospital types was also performed. ResultsSignificant facilitators included physicians’ attitude, injunctive norm, intention and habit. Significant barriers included physicians’ unfavorable attitude, lack of self-efficacy, knowledge, salience and experience. Moreover, experiential attitude (concerning patient characteristics), injunctive norm (concerning patient preferences), and physician’s habit were significant facilitators for physicians working in university hospitals when compared to those working in municipal hospitals. ConclusionThe facilitators and barriers to implementing SDM in Japan were identified. Practice implicationsMore opportunities for training on SDM are needed to provide knowledge and skills, which will enhance salience and contribute their habitual practice.

A Counseling Mobile App to Reduce the Psychosocial Impact of Human Papillomavirus Testing: Formative Research Using a User-Centered Design Approach in a Low-Middle-Income Setting in Argentina.

BackgroundHuman papillomavirus (HPV) testing detects sexually transmitted infections with oncogenic types of HPV. For many HPV-positive women, this result has negative connotations. It produces anxiety, fear of cancer or death, and disease denial. Face-to-face counseling could present many difficulties in its implementation, but a counseling mobile app could be practical and may help HPV-positive women reduce the psychosocial impact of the result, improve their knowledge of HPV and cervical cancer, and increase adherence to follow-up.ObjectiveThis study aims to understand HPV-tested women’s perceptions about an app as a tool to receive information and support to reduce the emotional impact of HPV-positive results. We investigated their preferences regarding app design, content, and framing.MethodsWe conducted formative research based on a user-centered design approach. We carried out 29 individual online interviews with HPV-positive women aged 30 years and over and 4 focus groups (FGs) with women through a virtual platform (n=19). We shared a draft of the app's potential screens with a provisional label of the possible content, options menus, draft illustrations, and wording. This allowed us to give women understandable triggers to debate the concepts involved on each screen. The draft content and labels were developed drawing from the health belief model (HBM) and integrative behavioral model (IBM) variables and findings of mobile health literature. We used an FG guide to generate data for the information architecture (ie, how to organize contents into features). We carried out thematic analysis using constructs from the HBM and IBM to identify content preferences and turn them into app features. We used the RQDA package of R software for data processing.ResultsWe found that participants required more information regarding the procedures they had received, what HPV-positive means, what the causes of HPV are, and its consequences on their sexuality. The women mentioned fear of the disease and stated they had concerns and misconceptions, such as believing that an HPV-positive result is a synonym for cancer. They accepted the app as a tool to obtain information and to reduce fears related to HPV-positive results. They would use a mobile app under doctor or health authority recommendation. The women did not agree with the draft organization of screens and contents. They believed the app should first offer information about HPV and then provide customized content according to the users’ needs. The app should provide information via videos with experts and testimonies of other HPV-positive women, and they suggested a medical appointment reminder feature. The app should also offer information through illustrations, or infographics, but not pictures or solely text.ConclusionsProviding information that meets women’s needs and counseling could be a method to reduce fears. A mobile app seems to be an acceptable and suitable tool to help HPV-positive women.

Evaluating the Effectiveness of Reasoned-action Theories (TRA, TPB, IBM) for Explaining Low E-commerce Adoption in a Developing Country: A Structural Equation Modelling (SEM) approach AI trends in digital humanities research

This paper explains the process of e-commerce adoption through reasoned action theories (theory of reasoned action (TRA), theory of planned behavior (TPB), and integrated behavioral model (IBM)) in a developing country. Owing to a lack of precedent in the study settings, the study first validated empirical scales for measuring psychosocial drivers of behavior using exploratory and confirmatory factor analyses. Subsequently, the study validated the aforementioned models using structural equation modeling, and also integrated sociodemographic characteristics as precursor variables in the model with the greatest predictive power. Results depicted that while TRA and TPB explain behavior well, it is IBM that is the most effective in explaining online consumer behavior, and underlined the importance of using volitional, sociodemographic, and individual-level factors (knowledge of e-commerce and environmental constraints to use e-commerce) to explain online consumer behavior. The study has numerous implications for e-commerce vendors operating in developing countries as the validated scales and models can be used to assess individual perceptions regarding e-commerce and to design effective communication strategies, respectively.

A study of adolescents’ and young adults’ TikTok challenge participation in South India

Involvement in social media activities has become a significant aspect of adolescents’ lives. Participation in numerous social media challenges with a variety of goals is also common among youth across platforms. Recently, the new app called TikTok has resulted in an increased level and variety of social media activities among youth. This study examines the factors related to participation in TikTok challenges, their potential impacts on adolescents and young adults, and participant reflection after performing a challenge. We recruited 25 adolescents and young adults who were actively involved in TikTok challenges from several secondary schools and colleges in South India. We administered a semi-structured, retrospective interview after screening participants through an online survey. The interview assessed motivations for participation, content of social media posts, and perceived consequences of participation. Based on the integrated behavior model, we conducted a theoretically grounded thematic analysis of the data. Our thematic analysis revealed that the factors closely related to the integrated behavior model motivated participation, such as attitudes, norms, personal agency, knowledge and skill, environmental constraints, habits, and individual differences. Further, one of the most frequent reasons reported as a motivational factor was being affirmed by others or peer pressure. Participants typically reported enjoying these challenges and experiencing positive feelings after completing the challenge. Overall, the participants seemed to have positive views of TikTok challenges and enjoyed the views and likes that came from posting about their participation in the challenge. Irrespective of the type of challenge participated in, the participants commented that taking part in online challenges is enjoyable and makes them feel confident. In sum, these adolescents appear to spend large amounts of time on TikTok due to the lure of online challenges and associated emotional states.

Predictors of Puberty Health Behaviors Based on Integrated Behavioral Model Among Girl’s High School Students in Birjand in 2020

Background: From the beginning of puberty, girls are exposed to many physical-psychological problems that experience for the first time, so it is very important to pay attention to puberty health. Objectives: The aim of this study was to determine the predictors of puberty health behaviors based on application of the Integrated Behavioral Model (IBM) among girls’ high school students. Methods: This descriptive-analytical study was performed on 265 first grade girls’ high school students in Birjand in 2020 using multi-stags sampling. Data collection tools were a researcher-made questionnaire including demographic information and questions related to IBM constructs that were completed self-administered. Data were analyzed by SPSS 19 software using Pearson correlation coefficient and linear regression analysis. Results: Pearson correlation showed that all IBM constructs except experiential attitude and control belief had a significant correlation with puberty health behaviors (P &lt; 0.04). In total, about 54% of the behavior variance was explained by three variables of intention, self-efficacy, and mother's job, among which intention was the strongest predictor of puberty health behaviors (P = 0.001). Conclusions: The results of the present study indicate the high predictive power of IBM for investigating puberty health behaviors. Therefore, using this model to design educational interventions and improve behaviors in the field of maturity is recommended.

Igniting Collective Freedom: An Integrative Behavioral Model of Acceptance and Commitment Toward Black Liberation.

Racism continues to reveal disastrous effects on the Black community. There exists no behavior-analytic literature with a specific focus on ending Black psychological suffering due to continual acts of violence perpetrated against the community. I present a behavioral model to promote Black psychological liberation, infusing preestablished frameworks of Black psychology and cultural healing practices with acceptance and commitment therapy. The model addresses behaviors observed within systemic and internalized racism.

Developing Female-Genital Infection Preventive Behavior Tool (FGIPBT) for Islamic Boarding School Population Based on The Integrated Behavior Model

Female-genital infection in adolescence causes discomfort and may develop into a serious issue. Islamic boarding school female students are a population at risk of getting a female-genital infection due to the lack of hygiene practice sum up with the lack of parental control. Prevention of female-genital infection through behavioral change is mandatory but the changes in behavior are not an effortless thing. There are underlying constructs that predispose the behavior as described in the Integrated Behavior Model (IBM). Dealing with those constructs will facilitate the change of behavior. However, there was no exact tool for assessing construct that determines the female-genital infection preventive behavior, especially for Islamic boarding school female-student population. That was the major reason for the Female-genital Infection Preventive Behavior Tool (FgIPBT) development. We generated a tool based on IBM constructs and the Indonesian Society of Dermatology and Venereology (INSDV) recommendation regarding genital infection preventive behavior. A deductive method of item generation, expert judgments, and internal consistency test involved 143 female-student from 3 different Islamic boarding schools was done to generate a valid and reliable tool. Total 177 valid items composed on the first phase and two different arrangements of items has subjected the reliability on the second phase. Items that were arranged based on behavior items and assessed every IBM construct (Type 1) had higher reliability value than items that were arranged based on IBM construct for all behavior items (Type 2). Assessing different construct for each point of behavior at the same time generate more reliable data than assessing the same construct for all points of behavior.

Abstract 97: Designing a Counseling App to Reduce the Psycho-Social Impact of HPV-Testing: A User-Centered Design Approach

Abstract Purpose: HPV-testing detects sexually transmitted infection with oncogenic types of HPV. For many HPV+ women, this result has negative connotations, it produces anxiety, fear of cancer or death, and disease denial. While face-to-face counseling could present many difficulties in its implementation, a counseling mobile-app may help HPV+ women reduce the psychosocial impact of the result, improve their knowledge about HPV and CC and increase adherence to follow-up. Methods: We conducted formative research based on a user-centered design approach. We carried out 29 individual online interviews with HPV+ women aged 30 and over, and four focus groups (FG) with a total of 19 participants through a virtual platform. We used a focus group guide to produce data for the information architecture (i.e., how to organize contents into features). We carried out thematic analysis using constructs from the Health Belief Model and Integrative Behavioral Model to identify content preferences and turn them into app features. We used the RQDA package of R software for data processing. Results: Preliminary results showed that participants needed more information regarding the procedures they had received; about what HPV+ means; what are the causes of HPV; if the HPV is present only in females; and if HPV has consequences on their sexuality. Also, we found that women's fear of the disease and death could increase after medical consultations. They had complaints when they had left the consultation with unanswered questions and misconceptions, such as believing that HPV+ is a synonym for cancer. Women accepted the App as a tool to get information and they agreed it can be useful to reduce fears related to HPV-positive results. They would use a mobile-app if the doctor or a health authority recommends it. They believe the app should provide information through videos, illustrations, or infographics, but not by pictures or only text. The app has to offer information on the next steps in the follow-up and medical appointment reminders. Conclusion: Providing information that meets women's needs and counseling could be a way of reducing fears. A mobile-app seems to be an acceptable and suitable tool to provide support to HPV+ women. Funding: This work was supported by a Conquer Cancer International Innovation Grant. Any opinions, findings, and conclusions expressed in this material are those of the author(s) and do not necessarily reflect those of the American Society of Clinical Oncology® or Conquer Cancer®. Citation Format: Victoria Sanchez Antelo, Lucila Szwarc, Paula Frejdkes, Melisa Paolino, Diana Saimovici, Silvia Massaccesi, Silvina Arrossi. Designing a Counseling App to Reduce the Psycho-Social Impact of HPV-Testing: A User-Centered Design Approach [abstract]. In: Proceedings of the 9th Annual Symposium on Global Cancer Research; Global Cancer Research and Control: Looking Back and Charting a Path Forward; 2021 Mar 10-11. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2021;30(7 Suppl):Abstract nr 97.

Application of Integrated Behavioral Model (IBM) to measure intention to get early screening and treatment of Sexually Transmitted Infections (STIs) among HIV at- risk sub-populations in Ethiopia.

Sexually Transmitted Infections (STIs) increase the risk of contracting Human Immunodeficiency Virus (HIV). Hence, early screening and treatment of STIs as a behavioral practice will reduce the odds of HIV infection among at risk and vulnerable sub-populations. To that end, HIV prevention strategies need to design evidence-based interventions using behavioral models or theories to help at-risk individuals adopt early screening and treatment of STI as preventive health behavior. In this study, commercial sex workers were considered as HIV at-risk sub-populations. Measuring to what extent that Integrated Behavioral Model constructs explain individuals' intention to practice early screening and treatment of sexually transmitted infections as healthy behavior of interest in HIV prevention. Integrated Behavioral Model (IBM) measurement survey was conducted using Respondent Driven Sampling (RDS) in six towns located in the main transport corridors of Ethiopia. Respondents' answers to model construct-based questions and intention to practice the health behavior of interest were measured using Likert Scale. Analysis was done to assess the correlation and level of association of model construct-based questions with intention to practice the preventive health behavior. Respondents' attitude explained 32%, perceived control 2%, normative influence 21%, and self-efficacy 53 % of their intention to get early screening and treatment of sexually transmitted infections. Self-efficacy explained the variability of respondents' intention to get early screening and treatment of STIs most, while perceived control was the least. Hence, HIV prevention behavioral interventions targeting early screening and treatment of STIs should give high emphasis to self-efficacy.

Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach

Mining product adoption intentions from social media could provide insights for many business practices, such as social media marketing. Existing methods mainly focus on text information but overlook other types of data. In light of the Integrated Behavioral Model (IBM), in this study, we argue that it is valuable to consider users’ social connections in addition to postings for identifying product adoption intentions. Based on this rationale, we propose a novel multiview deep learning framework to identify product adoption intentions. Extensive experiments show our proposed approach is effective, and demonstrate the benefit of incorporating social network information for intention identification.