Intention Survey Research Articles

Nursing students who identify as men; efficacy and persistence

AimTo evaluate the efficacy of nursing students who identify as men and its correlation with intent to complete their nursing program. BackgroundMen are an underrepresented population in nursing, despite mandates to improve the diversity of the nursing profession. There also exists a nursing shortage, that is worsening as nurses retire or change professions. Improving the recruitment and retention of men in nursing could have a positive impact on both of these problems. DesignQuantitative correlational research MethodsThe Belongingness Scale-Clinical Placement Experience instrument was used to measure efficacy and one item from the Undergraduate Nursing Intention Survey was used to measure the student’s intent to complete their nursing program. A SurveyMonkey link was sent by the National Student Nursing Association to those students who identified in their database as men and were enrolled in a Bachelor of Science in Nursing program. The inclusion criteria required that the participants identified as a man, were a student in a Bachelor of Science in Nursing program and they had one or more years of clinical experience in their nursing program. Students who have completed one or more years of clinical experience, have completed all nursing pre-requisites and a portion of their nursing courses. At this point in a nursing program, the students’ age would be 18 years of age or older. Inclusion criteria or 18 years of age or older would also make the consent process easier, as the study would not include a vulnerable population. ResultsThere were 290 responses, 252 of which met inclusion criteria and completed the survey in its entirety. The dependent variable, student intent to complete their nursing program, was not normally distributed. For this reason, Spearman’s correlation and eta squared were used for statistical evaluation. Spearman’s correlation was significant at 0.05 and eta squared demonstrated effect size at 0.01, 0.06 and 0.14 for small, medium and large effect sizes, respectively. Spearman’s rho, p=0.147, demonstrated a correlation between efficacy and student intent to complete their nursing program. The eta squared effect size was 0.96 which represented a large effect. ConclusionsNursing students who identify as men could demonstrate improved persistence in their nursing programs if effective interventions targeting efficacy were undertaken.

Research on Low Carbon Consumption Intention Survey and Incentive Mechanism under the Dual Carbon Goal

In order to explore residents' low carbon consumption intention, this paper constructs a model of the influencing factors of low carbon consumption willingness through multiple linear regression with the help of planning behavior theory, and studies the incentive mechanism of carbon credits according to the model results. The results show that low carbon consumption behavior attitude, subjective norm and perceptual behavior control all have a positive impact on low carbon consumption intention, and the three independent variables can explain 77.1% of the changes in the dependent variable, among which perceptual behavior control has the greatest impact. Based on the results of the model, this paper briefly studies the incentive mechanism of carbon credits, and finally puts forward some reasonable suggestions for low carbon consumption based on the actual situation, so as to actively respond to and promote low carbon consumption actions.

Gendering the floating voter: A mixed methods study of gender and undecided voters in Britain

Women are more undecided than men about their vote choice, with around 20%–30% of female respondents giving a ‘don’t know’ response to vote intention survey questions in Britain. In this article, we employ a mixed methods research design to explore why women are more likely to be undecided about their vote choice than men. Using survey data, we find that the gender gap in ‘don’t know’ responses is associated with gender gaps in political engagement and perceptions of policy representation. In focus groups, we find differences between men and women in how they want to be represented, and gender differences in conflict-avoidance/conflict-seeking, both of which we expect to contribute to gender differences in making a vote choice in-between elections. Our findings contribute to our understanding of how men and women engage with politics in Britain, as well as having implications for interpreting gender differences in vote intention in surveys.

Navigating genomic testing: Evaluation of an e-learning module with general practitioners

Background: Primary care, or general, practitioners (GPs) are increasingly expected to communicate with and support their patients through genetic or genomic testing. However, GPs worldwide report a lack of knowledge about genetics and what constitutes a genetic or genomic test. Few Australian educational resources for medical practitioners address core capabilities in genetics or genomics. Methods: We developed and evaluated a 90-minute online education module, Navigating Genomic Testing in General Practice, hosted online for 12 months. The module aimed to increase GPs’ awareness and knowledge of genomics, increase confidence in their capability to support genomic testing and foster intention to utilise that knowledge. GPs residing and practising in Australia who completed the module also completed a mandatory post-module survey. They were then invited to complete a behavioural intention survey and participate in an interview. Results: Between December 2018 and 2019, 216 Australian GPs completed the module and mandatory survey. Fourteen GPs went on to complete the optional survey. Most Australian GPs who completed the module reported gaining knowledge that was relevant to their practice (n = 215, 99.5%) and entirely met their learning needs (n = 168, 77.8%). Respondents of the optional survey (n = 14) indicated that confidence in their capability significantly increased post module, together with intention to support patients undergoing genomic testing. Conclusion: GPs in this study reported increased confidence, ability and intent, which are factors that can lead to changes in behaviour. Our findings support use of this type of online course as an educational tool to help GPs navigate genomics as it increasingly impacts their practice.

Community-Based Organizations Leading Research Efforts: Preliminary Findings from the Chicagoland CEAL Program's COVID-19 Vaccine Uptake and Intention Survey.

To foster community engaged research in the communities most impacted by COVID-19, the National Institutes of Health (NIH) formed 21 teams of Community Engagement Alliance Against COVID-19 Disparities (CEAL). The national CEAL initiative developed a Common Survey to investigate attitudes and behaviors to the COVID-19 vaccine and clinical trials. This article describes survey implementation at the Chicagoland CEAL Program (CCP). This community-based participatory research project was the result of a strong collaboration between academic institutions, and a community-based non-profit health equity-focused partner organization. The survey implementation was developed and refined with strong input from CHWs, participants, and staff in the partner organizations and institutions. Survey data were collected with Qualtrics, a web-based survey tool. Survey implementation resulted in data collection for 852 participants during the period 12/18/2021-02/18/2023. Excluding participants on the basis of missing data resulted in a sample of 690, 601 of which (87.10%) indicated that they had received at least one dose or intended to get vaccinated. Overall, 54 (7.83%) respondents reported that they had not received the vaccine and were not planning to. Hard to reach populations present two unique challenges in emerging infectious disease events. Reaching populations vulnerable to poor outcomes with vaccines was essential to addressing the COVID-19 pandemic. Additionally, learning about barriers and hesitancy toward vaccine uptake is difficult in these communities. CCP's partnership of five academic institutions, a community research center, and a community-based non-profit health equity-focused organization shows what is possible when traditional models of research and inquiry are reconsidered for community-based participatory research. Results shown here are drawn from a collaboratively designed and implemented survey, collected in person, with over 90% completion.

Who Australasians trusted during COVID-19: lessons from the pandemic response.

Public trust in authoritative information sources is a key element of a successful public health response to a pandemic. This study investigated which sources of COVID-19 advice were most trusted by a primarily New Zealand-based cohort and considers implications for policy and practice regarding future pandemics. Data were from a COVID-19 vaccine intention survey presented to Australia- and New Zealand-based members of the longitudinal Dunedin Study (n=832) between ages 48 and 49, immediately before vaccines became available for the general population within New Zealand. We assessed participants' trust in specific sources of COVID-19 advice and investigated whether the pattern of responses differed by sex, socio-economic status (SES) or education. Doctors and healthcare providers were the most trusted source of COVID-19 advice, over and above other institutional sources. This pattern was consistent across sex, SES and education. Institutional experts were trusted significantly more by those with higher SES compared to those with lower SES, and by those with formal qualifications compared to those without formal qualifications. Our findings suggest that it is important to empower healthcare providers early in a pandemic to share advice with the public alongside other trusted sources, such as the government.

Study on Induced Passenger Flow Forecast for Intercity High-Speed Rail

To forecast the induced passenger flow of intercity high-speed rail, two related multinomial logit models are applied to describe travelers’ travel choice behavior under changes in the travel environment. The first model describes different choices of travel mode by travelers between origin–destination pairs, while the second model describes the choice of travel frequency by different travelers. By introducing the consumption surplus variable of travelers, the two selected models are correlated and the model is calibrated using data from a behavioral survey and an intention survey. The results show that the polynomial logit model is applicable for forecasting induced passenger flow after changes in the travel environment. The consumption surplus of travelers is the key factor influencing changes in travel frequency, and the social characteristics of travelers and the economic development features of origin and destination cities have significant impacts on travel frequency. In-transit time is the key factor affecting the demand elasticity of travel frequency. The range of demand elasticity for short-distance business and non-business travel is between −0.61 and −0.79. The results of the demand elasticity analysis were applied to predict that the travel frequency of people from Nanjing to Huai’an, Suqian, Lianyungang, and Yancheng will increase by about 45% after the opening of the Nanjing-Huai’an intercity high-speed railway.

Consumers’ expectations and attitudes towards owning, sharing, and riding autonomous vehicles

It is still unclear whether autonomous vehicles will mainly bring benefits or not to the sustainable development of people's mobility. Opinion among various stakeholders diverge since autonomous driving may have different use cases, and potential impacts will depend on how consumers will deal with it: following an ownership-based or a consumption-based approach, using autonomous vehicles as individual (as a private car), shared (as a taxi service), or collective (as a public transport service) means of transport. This paper aims at shedding light on future mobility scenarios by investigating travelers’ expectations, attitudes, and intentions towards adopting autonomous vehicles. The research method involves the estimation of hybrid choice models based on data collected through a Stated Intention survey. Results of an exploratory study conducted in Italy show that the willingness-to-adopt autonomous vehicles can be explained by both observable and latent traits of individuals, giving evidence of different policy implications. Moreover, the desire to experiment autonomous driving is on average very high, but consumers are more willing to share or ride autonomous vehicles, rather than purchasing them for personal use.

Sequentially modeling household accommodation, destination, and departure time choices

During evacuations, households make a number of important, related choices including accommodation type, destination, and departure time. They may make trade-offs among these choices where one decision affects the others. The analysis models the linkages among these three aforementioned choices using data from a household behavioral intention survey conducted in 2017 in the Hampton Roads, VA area. Statistical tests and a theoretical basis show that the approach that best fits the dataset was to estimate the three choices in a sequence, where the first decision serves as an independent variable in the next choice process. To model the sequence, we began by modeling accommodation choice using a multinomial logit (MNL) model. Next, the accommodation choice decisions were used with other control variables to estimate destination choice in a second MNL model. Last, evacuation distance (related to destination decisions) was used in a Cox proportional-hazards model to estimate departure time choices. The models that provide the best estimates included the following control variables that help explain the sequence of decisions residents in the Hampton Roads area expect to make: (1) a variable expressing residential stability helps explain accommodation choice; (2) prior evacuation experience, the geographic location of a household, and the duration of living in the area help predict the destination choice; and (3) distance to the chosen destination helps predict departure time. Findings from this study provide evidence that the decisions associated with these three choices influence each other and help emergency managers identify additional actions that potentially can improve the evacuation experiences of local residents.

The changing adoption behaviors on electric trucks over time during the intention-purchase stage: Insights from freight enterprises’ states and perception features

This study analyzed the possibility and time gap in the adoption of electric trucks during the intention-purchase stage. An online survey was conducted with 980 freight fleets in Zhejiang Province, China in May 2021. The survival analysis model was employed to integrate the time variable with the probability of purchase, and various state and perception features that significantly influenced adoption behaviors were identified. The predictive performance of the model was assessed using the C-index and by comparing the results with actual purchase data. The findings indicated that positive state factors effectively reduce the time to purchase during the intention-behavior stage, while negative perception factors substantially decrease the ultimate purchase probability. Specifically, enterprises offering bulk services experienced a 10% increase in their purchase probability during the second year. Conversely, a negative perception of overall profit and empty-running reduction resulted in a 59.5% and 68.5% reduction in the purchase probability, respectively. The model demonstrated good predictive accuracy, particularly for short time periods of less than two years. This research has important implications for mitigating bias in intention survey data, providing policymakers with new incentives derived from the business environment, and facilitating the transition to electric trucks in freight transportation for cleaner production.

Modeling Evacuees’ Intended Responses to a Phased Hurricane Evacuation Order

Phased evacuation is an under-studied strategy, and relatively little is known about compliance with the phased process. This study modelled households’ responses to a phased evacuation order based on a household behavioral intention survey. About 66% of the evacuees reported that they would comply with a phased evacuation order. A latent class logit model sorted evacuees into two classes (“evacuation reluctant” and “evacuation keen”) by their stakeholder perceptions (i.e., whether government agencies have responsibility for the safety of individuals) and evacuation perceptions (i.e., whether evacuation is an effective protective action), while risk perception becomes non-significant in interpreting their compliance behavior to a phased evacuation order. Those that evacuate to the home of friends/relatives and/or bring more vehicles during evacuation are less likely to follow phased evacuation orders. “Evacuation reluctant” individuals with a longer housing tenure are more likely to follow phased evacuation orders. “Evacuation keen” individuals with a longer travel delay expectation are more likely to comply with phased evacuation orders. This study not only unveiled the impacts of incorporating three psychological perceptions (i.e., risk, stakeholder, and evacuation perceptions) in modeling compliance behavior (e.g., parameter sign/significance shift) but also provides insights of evacuees’ compliance behavior to phased evacuation orders.

Implementation of a novel shared decision-making intervention in women with chronic hypertension in pregnancy: multiple-site multiple-method investigation.

Many women with chronic hypertension are conflicted about antihypertensive medication during pregnancy and some are non-adherent to prescribed medication. Codesign, implement and evaluate a novel shared decision-making (SDM) intervention for use with pregnant women with chronic hypertension. Pregnant women with chronic hypertension and their principal healthcare professionals (obstetricians, midwives, and physicians), at three National Health Service hospital trusts with different models of care. The RE-AIM framework guided the evaluation. Primary: Decisional conflict scale, medication intention survey and women's acceptability. Secondary: Healthcare professionals' acceptability and the barriers and facilitators to SDM implementation with pregnant women with chronic hypertension. Fifty women participated. Nearly half (46%; n=23) of women were from Black and Asian backgrounds. The SDM intervention was effective at reducing decisional conflict (mean reduction from baseline 42%, 95% CI 35-49, p≤0.05). In 36 women (72%), the reduction was of clinical importance. 24 women (48%) were uncertain about or planned not to take antihypertensives prior to the SDM intervention, compared to two women (4%) after the intervention. The intervention was acceptable to women and healthcare professionals. 10 of 14 healthcare professionals felt that the in-consultation aid facilitated SDM in current antenatal contexts, a similar proportion (10/14) felt the length of consultations hindered SDM. A novel codesigned SDM intervention reduced decisional conflict and increased women's intention to take antihypertensive agents during pregnancy. This intervention could be adopted into practice for women making pregnancy decisions where there is uncertainty around the medication management option.

Identificación religiosa e intención de voto en Costa Rica durante la elección presidencial de 2022

This article analyzes whether there is a link between the religious identification of the Costa Rican population and their voting intention. Following the results of the 2018 presidential elections, in which an evangelical Protestant candidate passed to the second electoral round, several works have pointed out that religion is an increasingly important variable in explaining the voting intention of the Costa Rican population. In view of this, the objective of the article is to determine whether there is a “religious vote” in Costa Rica, for which we base ourselves on the following working hypothesis: people would express a greater voting intention for those candidates whose religious identification is similar to their own or whose political-electoral proposal is congruent with their own. To corroborate the hypothesis, we used data from a voting intention survey for the 2022 national election, collected in November 2021. We construct several logistic regression models to determine whether religious identification, together with other demographic and political variables, has an impact on voting intentions. It is concluded that Costa Rica seems to follow the same pattern found in other Latin American countries, where although the number of people who recognize themselves as evangelical Protestants has increased, it is only in certain sectors of this group that religious identification is a variable associated with voting intention. In groups with other religious beliefs, no significant relationship is found between these beliefs and voting intention. Hence, the existence of a “religious vote” in Costa Rica is ruled out.

Impacts of Illustrations and Photographs on BRT-usage Intention Survey in Ulaanbaatar

Impacts of Illustrations and Photographs on BRT-usage Intention Survey in Ulaanbaatar

Abstract PO-070: Psychometric properties and analysis of the masculinity barriers to medical care scale among African American, Indigenous, and White men

Abstract Background: The Masculinity Barriers to Medical Care (MBMC) scale was developed to assess masculinity barriers to medical care relative to colorectal cancer (CRC) screening uptake among non-Hispanic (NH) African-American/Black men. Objective: This study aimed to assess the psychometric properties of the MBMC Scale while applying it to different racial groups. Methods: Participants self-identifying as non-Hispanic (NH) Black, American Indian/Alaska Native (Indigenous), or NH White completed the web-based Masculinity Barriers to Medical Care, Psychosocial Factors, and CRC Screening Uptake & Intention Survey. We conducted exploratory factor analysis on a sample of 254 men and multivariate analysis of variance (MANOVA) on a separate sample of 637 men nationally representative by age and state of residence. Results: After assessment of psychometric properties, the MBMC scale was reduced from 24 to 18 items and from six to four subscales. Black men's mean scores were lowest on three of four subscales (Being Strong, Negative and Positive Attitudes) and highest on the Acknowledging Emotions subscale. Compared with both Indigenous and White men, Black men had significantly lower Negative Attitudes subscale scores and significantly higher scores on the Acknowledging Emotions subscale. Compared with both Indigenous and Black men, White men had significantly higher Being Strong and Positive Attitudes subscales scores. Conclusions: This study expands on previous research indicating that, among racialized populations of men, endorsement of traditional masculine ideologies influences engagement in preventive health behaviors. Our scale can be tailored to assess attitudes to screening for other cancers and diseases that disproportionately burden medically underserved populations. Citation Format: Ellen Brooks, Roger Figueroa, Ethan Petersen, Pamela Campanelli, Carson Kennedy, Roland J. Thorpe, Jr., Ronald F. Levant, Charles R. Rogers. Psychometric properties and analysis of the masculinity barriers to medical care scale among African American, Indigenous, and White men [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-070.

Contemporary Chinese Consumers' Minds of Corporate Social Responsibility: Purchase Intention Survey Base on Provisional Cases

Contemporary Chinese Consumers' Minds of Corporate Social Responsibility: Purchase Intention Survey Base on Provisional Cases

Psychometric Properties and Analysis of the Masculinity Barriers to Medical Care Scale Among Black, Indigenous, and White Men.

Non-Hispanic (NH) Black, American Indian/Alaska Native (Indigenous), and NH-White men have the highest colorectal cancer (CRC) mortality rates among all other racial/ethnic groups. Contributing factors are multifaceted, yet no studies have examined the psychometric properties of a comprehensive survey examining potential masculinity barriers to CRC screening behaviors among these populations. This study assessed the psychometric properties of our Masculinity Barriers to Medical Care (MBMC) Scale among NH-Black, Indigenous, and NH-White men who completed our web-based MBMC, Psychosocial Factors, and CRC Screening Uptake & Intention Survey. We conducted exploratory factor analysis on a sample of 254 men and multivariate analysis of variance (MANOVA) on a separate sample of 637 men nationally representative by age and state of residence. After psychometric assessment, the MBMC scale was reduced from 24 to 18 items and from six to four subscales. NH-Black men’s mean scores were lowest on three of four subscales (Being Strong, Negative and Positive Attitudes) and highest on the Acknowledging Emotions subscale. Compared with both Indigenous and NH-White men, NH-Black men had significantly lower Negative Attitudes subscale scores and significantly higher scores on the Acknowledging Emotions subscale. Compared with both Indigenous and NH-Black men, NH-White men had significantly higher Being Strong and Positive Attitudes subscales scores. This study expands on previous research indicating that, among racialized populations of men, endorsement of traditional masculine ideologies influences engagement in preventive health behaviors. Our scale can be tailored to assess attitudes to screening for other cancers and diseases that disproportionately burden medically underserved populations.

A Survey on Current Situation of Rural Household Waste Treatment and Disposal in Guangdong Province

The categories, collection and disposal method of rural household wastes in Guangdong Province as well as related intentions were collected and investigated through the questionnaire survey method, in an effort to figure out the current situation of rural domestic waste disposal in this area. A total of 169 valid questionnaires were collected in the questionnaire survey, which included 169 administrative villages in 17 prefecture-level cities. The survey results showed that when the respondents were listing the main components of household wastes, the probability for kitchen wastes to rank the top reached as high as 87%. 84% of the 169 surveyed administrative villages implemented the standardized management of household wastes, among which only 18 ones disposed the wastes after classified collection. In the current phase, the equipment of collection facilities was evidently better than that of terminal treatment facilities in the administrative villages. The intention survey results indicate that the ordinary people not only show the subjective willingness, but also are glad to take an active part in protecting the environment.

An Adjustment Method for the Customized Trains of the Railway

The “customized train” is a train operated by the customized service of the passengers. The departure time, total travel time, and the travel classes are decided by passengers’ wishes. Successful operation of customized trains (CT) has a great significance to the future development in the relationship between the railway enterprise and the passenger service. In order to establish a comprehensive method for the CT operation plan, the paper proposes an intention survey method to obtain the passenger travel wishes data. Then, according to the existing timetable, the alternative set of CTs is built. The CT should satisfy the constraints of the passenger demand, the stop, and the train travel time. Based on the alternative set, a bilevel programming model for the maximum operation revenue of the CTs and minimum adjustment cost of existing timetable is established according to the passengers’ travel demands. The model also considers the constraints of actual travel time, arrival headway, departure headway, maximal adjustment time and capacity, and so on. The adjustment strategies for the train operation confliction are established. Finally, the method is proven through the analysis of actual cases, which can provide decision-making basis for future railway enterprises when operating the customized trains.

Whose data can we trust: How meta-predictions can be used to uncover credible respondents in survey data.

Many areas of economics use subjective data, although it had been known to present problems regarding its reliability. To improve data quality, researchers may use scoring rules that reward respondents so that it is most profitable for them to tell the truth. However, if the subjects are not well informed about the topic or if they do not pay sufficient attention, they will produce data that could not be dependably used for decision-making even though subjects gave their honest answer. In this paper we show how meta-predictions (respondents’ predictions about choices of others) can be used for identification of respondents who produce dependable data. We use purchase intention survey, a popular method to elicit early adoption forecasts for a new concept, as a test bed for our approach. We present results from three online experiments, demonstrating that corrected purchase intentions are closer to the real outcomes.