Why do people participate in Web surveys? Applying survey participation theory to Internet survey data collection

Psychological and social difficulties in young non-help-seeking adolescents at risk for psychosis: insights from a large cohort study

Background

This study used data from the Norwegian Mother, Father, and Child Cohort Study (MoBa), and explored the psychological and social challenges of 14-year-olds who report psychotic symptoms. Research on help-seeking youths indicates comorbid symptoms of depression, anxiety, and social deterioration, but less is known about non-help-seeking individuals who may not use healthcare services, possibly skewing comorbidity profiles. Also, findings suggest that adolescents manifesting psychotic symptoms refrain from pursuing help. This gap underscores the necessity of studying non-help-seeking adolescents to better understand their needs and the risks they face without intervention.

Methods

We analyzed responses from adolescents who completed the 14-year questionnaire in MoBa (N = 127), identifying those as at risk by their high scores on psychosis-risk items, within the top 0.4% (N = 58). Comparative analyses were conducted against matched controls to assess differences in psychological and social functioning (N = 69).

Results

Results indicated that the at-risk adolescents experience significantly more depression and anxiety and have lower self-esteem and poorer social functioning than controls. Social functioning parameters, including leisure activities, social competence, quality of parental relationship, and sense of school belonging, were significantly worse than those observed in controls. The results indicate a pronounced vulnerability among non-help-seeking adolescents at-risk, similar to issues seen in help-seeking youths.

Conclusion

These findings highlight the importance of early identification and intervention strategies that reach beyond traditional clinical settings, suggesting the efficacy of population or community-based screenings to prevent long-term adverse outcomes. The study proposes a broader understanding of psychosis risk, stressing the importance of inclusive approaches to support at-risk adolescents effectively.

Gen Z's Willingness to Adopt Plant-Based Diets: Empirical Evidence from Greece, India, and the UK

Comprising the largest population cohort on this planet, Gen Z presents a future-oriented consumer segment driven by climate change and food. This study sought to investigate Gen Z's perceptions toward plant-based foods and diets and explore the relationship that attitude components, meal preparation involvement, personal and lifestyle factors, and perceived barriers in adopting a plant-based diet have with willingness to adopt green-eating practices. Using cross-sectional data from university students in Greece, India, and the UK, various tools were employed to determine the factors influencing youths' consumer behavior toward animal-protein substitutes. PCA indicated the underlying dimensions of students' viewpoints on plant-based foods, whereas hierarchical and k-means clustering provided the cluster structure. An ordered probit model was estimated to delineate Gen Z's willingness to adopt plant-based diets and distinguish among mostly unwilling, somewhat willing, and mostly willing youths. Our findings identified two consumer segments, namely proponents and opponents of plant-based foods and diets, with statistically significant differences in the perceived health benefits of plant-based diets, attachment to animal-based proteins, perceived exclusion of animal-based foods, dissatisfaction with plant-based foods' attributes, and demand for ensuring adequate protein intake. The ordered probit model estimates showed that there is a "homogeneity" in the factors influencing youths' intention to adopt plant-based diets, with attitude components, meal preparation indicators, perceived barriers to eating "green", and personal factors, such as self-assessed knowledge of healthy eating and physical activity, being strongly associated with students' willingness to switch to plant-based diets in all three countries. Mapping potential obstacles and enablers in terms of shifting to more green-eating behaviors, our findings could add information to better understand the factors affecting food choice and youths' transition to a more sustainable lifestyle.

Academic entitlement and Ratemyprofessors.com evaluations bias student teaching evaluations: Implications for faculty evaluation and policy-lenient professors' occupational health

This study explored relationships between academic entitlement (AE) and Ratemyprofessors.com (RMP) use. It also investigated, while controlling for AE, if RMP evaluation positivity influences students' intentions to ask for policy exemptions, beliefs professors would provide them, intentions to reward and punish professors contingent upon provision of policy exemptions by improving or lowering their student teaching evaluations, and intentions to evaluate and reenroll with professors. Following exposure to RMP evaluations, participants (n = 320) rated their intentions and beliefs toward a fictional professor. They also completed an AE measure. AE was related to frequency of writing RMP evaluations as well as participants' intentions to ask for exemptions, beliefs they would receive them, and intentions to reward and punish professors. RMP evaluation positivity affected participants' intentions to ask for and beliefs they would receive policy exemptions as well as intention to evaluate and reenroll with professors. Effects did not differ by professor or student gender. Participants reported intention to improve the evaluation of professors who provide any policy exemption. This study's findings suggest that student attitudes related to AE and impacted by RMP evaluations have significant implications for professors' occupational health via requests for policy exemptions and the consequences of professors' responses to them. These findings also contribute to the body of evidence that student teaching evaluations do not exclusively measure teaching effectiveness. Similar to grade leniency, policy leniency may bias student teaching evaluations. These contribute to the ongoing discussion of the use of student teaching evaluations in faculty personnel decisions and underscore the need for robust approaches to professor evaluation.

Risk Awareness and Attitude of German Farmers towards Biosecurity Measures

The implementation of management activities depends on both the attitude of the people performing the work and their understanding of why the work should be performed. In the context of animal husbandry, the implementation of such practices is crucial for the functionality of biosecurity. Therefore, it is important to know how farmers perceive biosecurity as a whole. An anonymous online survey was conducted among German farmers. In addition to general data about their farm, information about their existing concept of biosecurity, as well as about the assessment of possible introduction routes for animal diseases into the farm with regard to their likelihood, was gathered. Furthermore, information on measures to protect their farm against disease introduction were retrieved. Analysis showed that in general, farmers were aware of the importance of biosecurity and consequently had concepts of biosecurity on their farms. However, awareness about dangerous introduction routes for animal diseases into a farm was associated with a lack of knowledge of how to improve the measures in these areas. The role of the veterinarian in the context of biosecurity was highlighted and further problematic areas were indicated. Overall, the high level of commitment from farmers indicated a good implementation of daily practices.

Attitudes and Beliefs of Nurses and Nurse Assistants toward Patients with Sickle Cell Disease: A Mixed Methods Study

BACKGROUND

Pain experienced among individuals with sickle cell disease (SCD) is the primary requirement for hospitalization.

PURPOSE

This study examined the relationship of age, race, and years of experience among medical-surgical nurses and nursing assistants to their attitudes in caring for SCD patients and identified barriers that influence pain management care.

DESIGN, SETTING, PARTICIPANTS

An explanatory sequential mixed-methods study design was used. Online survey data were collected among 56 participants and online interviews were conducted among three participants.

METHODS

The General Perceptions of Sickle Cell Patients (GPSCP) Scale-17, composed of four subscales, assessed providers attitudes toward patients with SCD. Two subscales assessed providers' attitudes behaviors related to acute and chronic pain management.

RESULTS

There was no relationship between age and years of experience to scores on four subscales. White/Caucasian study participants scored higher on the Red Flag Behaviors subscale, indicating that White/Caucasian participants had stronger beliefs concerning drug-seeking behaviors among SCD patients as compared to other ethnicities/races. Themes generated from the qualitative interview data analysis were: 1) reflections on one's own practice compared to others' practice; 2) communication as a barrier/facilitator to providing care; 3) lack of national guidelines; and 4) adjunct staff are critical to facilitating holistic care.

CONCLUSIONS

Racial and ethnic differences exist among medical-surgical nurses and nursing assistants' attitudes. Poor communication and lack of national standards of care are barriers to providing high quality care.

CLINICAL IMPLICATIONS

Culturally sensitive care, based on current practice guidelines, is needed for improved pain management care for patients with SCD.

Impact of food security on coping strategies: a comparison of high school and college perceptions

OBJECTIVE

To examine coping strategies in relation to student experience of food insecurity during the transitionary period from high school to college.

PARTICIPANTS

Freshmen undergraduates (n = 231) enrolled in one of two public universities during December of 2021, living in traditional student housing.

METHODS

Participants were emailed a link to a USDA 6-item food insecurity and coping strategies survey to investigate if students' degree of food insecurity correlates to coping strategies used. Questions were answered about experiences as a high school senior and college freshman. Data was analyzed with group comparison tests.

RESULTS

Food insecurity rates approximately doubled from students' high school experience to college. Students with lower food security during both their high school and college experience were significantly more likely to practice coping strategies.

CONCLUSION

Improving education on utilization of available resources may help students obtain adequate nutrition, decreasing their need to rely on coping strategies.

The value of improving freshwater ecosystem services: South Carolina residents' willingness to pay for improved water quality

Riverine ecosystems play a crucial role in providing essential services such as drinking water, food, recreation, and other aquatic resources. Yet, their capacity to deliver ecosystem services is threatened by rapid land use which modifies their ecological functions. While freshwater monitoring and restoration programs became more robust with technological advancement, the technical ecosystem indicators monitored by experts do not typically resonate with the public. Since public sentiments and preferences are crucial in conservation planning, we quantified households' mean willingness to pay (WTP) for riverine ecosystem services in South Carolina (SC) using a payment card approach. This technique in conducting a contingent valuation method allowed us to estimate mean WTP for five aquatic indicators. Findings revealed that households' monthly mean WTP is higher for indicators that can enhance recreational benefits, such as fish catch ($5.89- $6.58), species richness ($6.28- $6.72) and access ($6.75) compared to IBI ($5.74- $6.26) and instream flow quality ($5.34-6.06). When extrapolated to entire SC, the improvement of each indicator would translate to total benefits ranging between $131 to $165 million annually. The values computed from this study could serve as inputs for the computation of benefit-cost ratios of proposed freshwater programs. By incorporating households' WTP in the policy analysis, decision makers can prioritize programs that offer the greatest public benefit, while enhancing freshwater quality across the state.

Knowledge, practices and barriers to access sexual health of women in the menopausal stages: a cross-sectional study with Brazilian gynecologists

BACKGROUND

Sexual health access and care for women in the menopausal stages face significant barriers, presenting deficits in relation to diagnosis and treatment. Although epidemiological data indicate high prevalence of problems related to sexual health in this population, traditionally, the theme is not discussed in health care settings. This study aimed to analyze knowledge, practices and barriers to access sexual health of women in the menopausal stages in the context of women's health care in Brazil.

METHODS

With a cross-sectional design, a questionnaire was distributed electronically, encompassing variables related to knowledge; practices; and barriers to access sexual health of women in the menopausal stages. The data obtained were subjected to analysis using both descriptive and inferential statistics. Specifically, we employed multivariate analysis, employing multiple linear regression models, to discern potential factors associated with outcomes concerning the level of knowledge and the frequency of addressing the topic in professional practice.

RESULTS

The sample included 70 physicians with specialization in obstetrician/gynecologists who work in health care with women in the menopausal transition or postmenopausal women. A high level of self-reported knowledge about sexual health was identified. Regarding the practices, most of them reported directly proposing the subject and not using instruments. Although they reported frequently addressing the topic in general, topics related to vaginal lubrication, dyspareunia, and sexual dysfunction have been more present in the clinic compared to sexual orientation and women's relationship with themselves. The main barriers were time limitation and patient discomfort with the topic. The multivariate models indicated that female gynecologists and professionals with higher levels of knowledge on the subject had a higher frequency of addressing sexual health in clinical practice with women in menopausal stages.

CONCLUSIONS

Sexual health access and care for brazilian women in the menopausal stages presents discrepancies in the frequency of approach between the various topics, in addition to the predictive character of technical knowledge in the practices of professionals. To ensure universal access to sexual health services for this population, an active approach through specific instruments is important, as well as the reinforcement of strategies to improve the level of knowledge of professionals.

Visible Cash, a Second Incentive, and Priority Mail? An Experimental Evaluation of Mailing Strategies for a Screening Questionnaire in a National Push-to-Web/Mail Survey

In push-to-web surveys that use postal mail to contact sampled cases, participation is contingent on the mail being opened and the survey invitations being delivered. The design of the mailings is crucial to the success of the survey. We address the question of how to design invitation mailings that can grab potential respondents' attention and sway them to be interested in the survey in a short window of time. In the household screening stage of a national survey, the American Family Health Study, we experimentally tested three mailing design techniques for recruiting respondents: (1) a visible cash incentive in the initial mailing, (2) a second incentive for initial nonrespondents, and (3) use of Priority Mail in the nonresponse follow-up mailing. We evaluated the three techniques' overall effects on response rates as well as how they differentially attracted respondents with different characteristics. We found that all three techniques were useful in increasing the screening response rates, but there was little evidence that they had differential effects on sample subgroups that could help to reduce nonresponse biases.

Sharing results with participants (and community) in malaria related research: Perspectives and experience from researchers

Results-sharing with participants or their communities after the completion of research is an essential element of ethical research. The main objective of this study was to identify and document current practice of trial result dissemination, to explore attitudes among trialists towards result dissemination and to better understand previous experiences and barriers to returning results to participants. This mixed-methods study used a sequential exploratory design with two phases: i) an initial qualitative phase to explore the topic and to inform the quantitative data collection, ii) a quantitative survey. Findings from the survey and interviews were triangulated and presented to a network of clinical malaria researchers for validation. A total of 11 semi-structured interviews (SSIs) were conducted using an interview guide. The quantitative survey had a response rate of 19.9% (42/211). Disseminating results to participants after clinical trials was deemed critical for ethical malaria related research, with 38.1% indicating it as extremely important and 45.2% rating it as mostly important. Most respondents referred to the dissemination of results to policymakers and wider stakeholders as important aspects of research translation. The practice of patient or community engagement was prioritized in the pre-trial period and during the trial for obvious instrumental goals of improving retention, coverage and adherence, but much less priority was given to the post-trial period. The main reason for poor dissemination practice was the notion that the time lag between study participation and the availability of results was too long (42.4%). Other reasons included the assumption that the community was not interested (36.4%), and financial restraints (9.1%). The rich qualitative data revealed detailed accounts of operational, cultural, educational and economic aspects that pose further barriers to results-sharing, including limited knowledge about best practice. Better planning which includes adequate financial resourcing is required for meaningful dissemination of results to study participants. Improved institutional guidance and more stringent requirements by funders could support researchers who are generally interested and willing to complete the process. Best practice methods to conduct such dissemination remains to be explored.

Do animation videos increase participation in national health surveys? A randomised controlled trial

BACKGROUND

Declining response proportions in surveys have been observed internationally. Improving response proportions is important for the generalizability of the outcome. The aim of this study was to examine the potential of animation videos to improve response proportions and sample composition in health surveys.

METHODS

A randomized trial was embedded in the Danish National Health Survey 2021 (n = 186,113) where the use of animation videos in the digital invitation letter was tested as a mean to increase response proportion. The effect of both demographic-targeted videos and a general video was tested. The sample was stratified into four subsamples; (1) individuals with non-western background and a non-Danish citizenship (n = 9,956), (2) men aged 16-24 years (n = 12,481), (3) women aged 75 years or older (n = 7,815) and (4) the remaining individuals (n = 155,861). The fourth subsample was randomized into two equal sized groups; a group receiving the general video and a control group receiving no video. Each of the first three subsamples was subsequently randomized into three subgroups with 25% receiving the target group video, 25% receiving the general video and 50% receiving no video. A total of four reminders (one digital and three postal) were sent to the eligible population.

RESULTS

The use of animation videos resulted in similar or slightly lower overall response proportion compared to the control group. The different animation videos were found to have heterogeneous effects on response proportions. A positive effect was found among men aged 16-24 years before the delivery of the postal reminder for the targeted animation video compared to no video (odds ratio: 1.13; 95% confidence interval: 1.02-1.26). Overall, the targeted animation videos tended to produce higher response proportions than the general animation video.

CONCLUSIONS

The heterogeneous effects of the videos suggest that there is some potential for the use of animation videos to improve response proportions and sample composition. The content, target group and timing of evaluation seem to be important for the animation videos to be successful. This warrants further research to better identify in which contexts, in which subgroups and under which circumstances, animation videos are useful to increase response proportions.

TRIAL REGISTRATION

ClinicalTrials.gov ID: NCT05520242, registered 08/26/2022.

Why Do Students Participate in Campus Sexual Assault Climate Surveys?

The purpose of the current study is to explore students' reasons for participating in a campus sexual assault climate survey to determine if patterns exist based on various identities and experiences. More specifically, we were interested in the most frequently reported reasons for participating, and whether they differed by key demographic variables. As part of a campus climate survey administration at two campuses, 4,020 students responded to survey questions asking why they participated in the survey (Sample 1, n = 2,937 and Sample 2, n = 1,083). To examine which demographic variables predicted reasons for taking the survey while controlling for other potential correlates, we conducted logistic regression analyses. The reasons provided by students as to why they completed the campus climate survey differed by identity characteristics, suggesting that researchers must consider the demographic makeup of their institutions when designing sampling and recruitment plans and tailoring them to their student populations. For example, while gender emerged as salient for differing reasons for participation (e.g., women more likely to participate because of the issue's importance and wanting their opinions heard more), intersectional analysis by race and gender indicates that White men (and Asian men, in Sample 1) most consistently indicated different reasons for participation, with significantly greater odds than their White and Asian women counterparts to participate for the cash incentives. This information could help improve the recruitment of representative samples for campus sexual assault surveys and therefore provide more accurate data that can be used to deliver effective intervention and prevention efforts.

Willingness to participate in in-the-moment surveys triggered by online behaviors

Surveys are a fundamental tool of empirical research, but they suffer from errors: in particular, respondents can have difficulties recalling information of interest to researchers. Recent technological developments offer new opportunities to collect data passively (i.e., without participant's intervention), avoiding recall errors. One of these opportunities is registering online behaviors (e.g., visited URLs) through tracking software ("meter") voluntarily installed by a sample of individuals on their browsing devices. Nevertheless, metered data are also affected by errors and only cover part of the objective information, while subjective information is not directly observable. Asking participants about such missing information by means of web surveys conducted in the moment an event of interest is detected by the meter has the potential to fill the gap. However, this method requires participants to be willing to participate. This paper explores the willingness to participate in in-the-moment web surveys triggered by online activities recorded by a participant-installed meter. A conjoint experiment implemented in an opt-in metered panel in Spain reveals overall high levels of willingness to participate among panelists already sharing metered data, ranging from 69% to 95%. The main aspects affecting this willingness are related to the incentive levels offered. Limited differences across participants are observed, except for household size and education. Answers to open questions also confirm that the incentive is the key driver of the decision to participate, whereas other potential problematic aspects such as the limited time to participate, privacy concerns, and discomfort caused by being interrupted play a limited role.

The effects of social vs. personal power on universal dimensions of social perception

The present study expands previous research on the effects of power on stereotyping by investigating the impact of two types of power (social power and personal power) on two universal dimensions of social perception; warmth and competence. Results from an experiment (N = 377) in which participants were randomly assigned to provide their impression of either (1) poor people or (2) rich people, suggest that the two types of power produce different effects on perceptions of warmth and competence. Personal power increased stereotype consistent perceptions of warmth whereas social power increased stereotype consistent perceptions of competence as well as agency, which was identified as a separate dimension. The pattern of results is discussed in view of previous work on power effects and stereotyping, and potential explanations and suggestions for future research are outlined.

Exploring Stakeholder Requirements to Enable the Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Protocol for a Multistep Mixed Methods Study

BACKGROUND

In recent years, research and developments in advancing artificial intelligence (AI) in health care and medicine have increased. High expectations surround the use of AI technologies, such as improvements for diagnosis and increases in the quality of care with reductions in health care costs. The successful development and testing of new AI algorithms require large amounts of high-quality data. Academic hospitals could provide the data needed for AI development, but granting legal, controlled, and regulated access to these data for developers and researchers is difficult. Therefore, the German Federal Ministry of Health supports the Protected Artificial Intelligence Innovation Environment for Patient-Oriented Digital Health Solutions for Developing, Testing, and Evidence-Based Evaluation of Clinical Value (pAItient) project, aiming to install the AI Innovation Environment at the Heidelberg University Hospital in Germany. The AI Innovation Environment was designed as a proof-of-concept extension of the already existing Medical Data Integration Center. It will establish a process to support every step of developing and testing AI-based technologies.

OBJECTIVE

The first part of the pAItient project, as presented in this research protocol, aims to explore stakeholders' requirements for developing AI in partnership with an academic hospital and granting AI experts access to anonymized personal health data.

METHODS

We planned a multistep mixed methods approach. In the first step, researchers and employees from stakeholder organizations were invited to participate in semistructured interviews. In the following step, questionnaires were developed based on the participants' answers and distributed among the stakeholders' organizations to quantify qualitative findings and discover important aspects that were not mentioned by the interviewees. The questionnaires will be analyzed descriptively. In addition, patients and physicians were interviewed as well. No survey questionnaires were developed for this second group of participants. The study was approved by the Ethics Committee of the Heidelberg University Hospital (approval number: S-241/2021).

RESULTS

Data collection concluded in summer 2022. Data analysis is planned to start in fall 2022. We plan to publish the results in winter 2022 to 2023.

CONCLUSIONS

The results of our study will help in shaping the AI Innovation Environment at our academic hospital according to stakeholder requirements. With this approach, in turn, we aim to shape an AI environment that is effective and is deemed acceptable by all parties.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/42208.

The potential of remote XR experimentation: Defining benefits and limitations through expert survey and case study

Experimentation using extended reality (XR) technology is predominantly conducted in-lab with a co-present researcher. Remote XR experiments, without co-present researchers, have been less common, despite the success of remote approaches for non-XR investigations. In order to understand why remote XR experiments are atypical, this article outlines the perceived limitations, as well as potential benefits, of conducting remote XR experiments, through a thematic analysis of responses to a 30-item survey of 46 XR researchers. These are synthesized into five core research questions for the XR community, and concern types of participant, recruitment processes, potential impacts of remote setup and settings, the data-capture affordances of XR hardware and how remote XR experiment development can be optimized to reduce demands on the researcher. It then explores these questions by running two experiments in a fully “encapsulated” remote XR case study, in which the recruitment and experiment processes is distributed and conducted unsupervised. It discusses the design, experiment, and results from this case study in the context of these core questions.

Is a mounted award ceremony in equestrian sport relevant to animal welfare?

Severe accidents befalling both horses and riders have been observed during award ceremonies in equestrian sports. We hypothesised that such ceremonies and subsequent laps of honour pose a significant risk to the well-being of horses, riders and third parties. Tournament riders' opinions were sought and analysis of accidents undertaken via an online questionnaire completed by 700 tournament riders participating in dressage and showjumping in Germany. While 31.3% of the riders reported feeling tense themselves during award ceremonies, greater tension was reported in the warm-up area and throughout the competition itself. In contrast, 48% of horses were at their most tense at award ceremonies and displayed the greatest amount of stress during the lap of honour. Sixty percent of survey participants felt award ceremonies created an increased risk of injury with riders citing stressed horses as being the principal cause. Only risks associated with the warm-up area were noted by a greater proportion of riders (66.6%). The most frequent cause of accidents at award ceremonies was deemed to be kicks. Horse participation at award ceremonies was deemed to be important for spectators and sponsors and, although over half the riders were in favour of compulsory participation with a horse, they expressed the desire for exceptions to be permissible by judge(s). This study supported the hypothesis that mounted award ceremonies have a negative impact on horse welfare.

Exploring Stakeholder Requirements to enable research and development of AI algorithms in a hospital based generic infrastructure: Results of a Multi-step mixed-methods Study (Preprint)

BACKGROUND

Legal, controlled, and regulated access to high-quality data from academic hospitals currently poses a barrier to the development and testing of new artificial intelligence (AI) algorithms. To overcome this barrier, the German Federal Ministry of Health supports the "pAItient" (Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence-based evaluation of clinical value) project, with the goal to establish an AI Innovation Environment at the Heidelberg University Hospital, Germany. It is designed as a proof-of-concept extension to the preexisting Medical Data Integration Center.

OBJECTIVE

The first part of the pAItient project aims to explore stakeholders' requirements for developing AI in partnership with an academic hospital and granting AI experts access to anonymized personal health data.

METHODS

We designed a multistep mixed methods approach. First, researchers and employees from stakeholder organizations were invited to participate in semistructured interviews. In the following step, questionnaires were developed based on the participants' answers and distributed among the stakeholders' organizations. In addition, patients and physicians were interviewed.

RESULTS

The identified requirements covered a wide range and were conflicting sometimes. Relevant patient requirements included adequate provision of necessary information for data use, clear medical objective of the research and development activities, trustworthiness of the organization collecting the patient data, and data should not be reidentifiable. Requirements of AI researchers and developers encompassed contact with clinical users, an acceptable user interface (UI) for shared data platforms, stable connection to the planned infrastructure, relevant use cases, and assistance in dealing with data privacy regulations. In a next step, a requirements model was developed, which depicts the identified requirements in different layers. This developed model will be used to communicate stakeholder requirements within the pAItient project consortium.

CONCLUSIONS

The study led to the identification of necessary requirements for the development, testing, and validation of AI applications within a hospital-based generic infrastructure. A requirements model was developed, which will inform the next steps in the development of an AI innovation environment at our institution. Results from our study replicate previous findings from other contexts and will add to the emerging discussion on the use of routine medical data for the development of AI applications.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/42208.

The Use of Virtual-Problem-Based Learning during COVID-19 Pandemic Emergency: Veterinary Students' Perception

The COVID-19 global pandemic emergency forced us to replace the "traditional and in presence" clinical, pre-graduating, veterinary medical training with clinical virtual-problem-based learning (v-PBL). This prospective cross-sectional case-control study aimed to evaluate the students' perception of the v-PBLs compared to the traditional veterinary clinical training (t-VCT). The t-VCT consisted of supervised management of clinical cases admitted at the Veterinary Teaching Hospital and in the field. The v-PBL consisted of genuine clinical cases shared by tutors throughout an online platform. A survey was delivered to all the fifth-year students who completed the t-VCT or the v-PBL. The survey was completed by 49% of the students. Overall student satisfaction regarding the training experiences was high in both groups, but it was less in the v-PBL than in the t-VCT group. The students of the v-PBL group perceived that they could not improve their practical clinical skills through online sessions, and they emphasized how it could be employed as support for traditional practical activities. All the students are satisfied with the supervision and considered the training correctly focused on relevant learning objectives and the task clearly explained. Stimulating the integration of knowledge and lifelong learning skills replicating life experiences the v-PBLs represented an attractive curricular alternative for veterinary education.

Testing the Effectiveness of an Animated Decision Aid to Improve Recruitment of Control Participants in a Case-Control Study: Web-Based Experiment

BACKGROUND

Participation in case-control studies is crucial in epidemiological research. The self-sampling bias, low response rate, and poor recruitment of population representative controls are often reported as limitations of case-control studies with limited strategies to improve participation. With greater use of web-based methods in health research, there is a further need to understand the effectiveness of different tools to enhance informed decision-making and willingness to take part in research.

OBJECTIVE

This study tests whether the inclusion of an animated decision aid in the recruitment page of a study website can increase participants' intentions to volunteer as controls.

METHODS

A total of 1425 women were included in a web-based experiment and randomized to one of two experimental conditions: one in which they were exposed to a simulated website that included the animation (animation; n=693, 48.6%), and one in which they were exposed to the simulated website without the animation (control; n=732, 51.4%). The simulated website was adapted from a real website for a case-control study, which invites people to consider taking part in a study that investigates differences in purchasing behaviors between women with and without ovarian cancer and share their loyalty card data collected through 2 high street retailers with the researchers. After exposure to the experimental manipulation, participants were asked to state (1) their intention to take part in the case-control study, (2) whether they would be willing to share their loyalty card for research, and (3) their willingness to be redirected to the real website after completing the survey. Data were assessed using ordinal and binary logistic regression, reported in percentages (%), adjusted odds ratio (AOR), and 95% confidence intervals.

RESULTS

Including the animation in the simulated website did not increase intentions to participate in the study (AOR 1.09; 95% CI 0.88-1.35) or willingness to visit the real study website after the survey (control 50.5% vs animation 52.6%, AOR 1.08; 95% CI 0.85-1.37). The animation, however, increased the participants' intentions to share the data from their loyalty cards for research in general (control 17.9% vs animation 26%; AOR 1.64; 95% CI 1.23-2.18).

CONCLUSIONS

While the results of this study indicate that the animated decision aid did not lead to greater intention to take part in our web-based case-control study, they show that they can be effective in increasing people's willingness to share sensitive data for health research.

The semi-automatic classification of an open-ended question on panel survey motivation and its application in attrition analysis

In this study, we demonstrate how supervised learning can extract interpretable survey motivation measurements from a large number of responses to an open-ended question. We manually coded a subsample of 5,000 responses to an open-ended question on survey motivation from the GESIS Panel (25,000 responses in total); we utilized supervised machine learning to classify the remaining responses. We can demonstrate that the responses on survey motivation in the GESIS Panel are particularly well suited for automated classification, since they are mostly one-dimensional. The evaluation of the test set also indicates very good overall performance. We present the pre-processing steps and methods we used for our data, and by discussing other popular options that might be more suitable in other cases, we also generalize beyond our use case. We also discuss various minor problems, such as a necessary spelling correction. Finally, we can showcase the analytic potential of the resulting categorization of panelists' motivation through an event history analysis of panel dropout. The analytical results allow a close look at respondents' motivations: they span a wide range, from the urge to help to interest in questions or the incentive and the wish to influence those in power through their participation. We conclude our paper by discussing the re-usability of the hand-coded responses for other surveys, including similar open questions to the GESIS Panel question.

Junior doctors' mental health and coronavirus disease safety concerns

OBJECTIVE

This article aims to assess whether caring for COVID-19 patients impacted junior doctors' COVID-19-related anxieties, general anxiety and depression, and the relative impact of depression, general anxiety and specific COVID-19 anxiety on work and social functioning during the COVID-19 pandemic in 2020.

METHODS

Recruitment occurred between June and August 2020 in New South Wales, Australia. Demographic information, symptoms of depression (PHQ-9), generalised anxiety (GAD-7), and COVID-19-related anxieties around infections, help-seeking behaviours, and work and social functioning (WSAS) were collected.

RESULTS

About one third (n=73, 33%) had cared for a patient with overt or covert COVID-19 in the previous month. However, the extent of COVID-19-related anxiety symptoms was largely unrelated to caring for COVID-19 patients. Instead, the presence of other COVID-19 concerns and gender predicted variations in COVID-19 concerns for one's own safety and the safety of loved ones.

CONCLUSION

COVID-19 anxiety symptoms were largely unrelated to caring for COVID-19 patients, while COVID-19-related anxiety around the safety of family and friends added to impaired functioning in addition to the established impact of depression and general anxiety.

IMPLICATIONS FOR PUBLIC HEALTH

Provided the replicability of these findings, this research highlights the importance of addressing pandemic-related anxieties in junior doctor populations.

The Impact of Reinforcement Sensitivity Theory on Aggressive Behavior

Why some people, and not others, exhibit aggression remains unknown. Research points to certain personality traits being linked to either proactive or reactive aggression, or both. The current study attempts to address these gaps from the perspective of revised Reinforcement Sensitivity Theory (rRST). Using 146 participants, results revealed Behavioral Approach System (BAS)-Impulsivity and the Behavioral Inhibition System (BIS) predicted proactive and reactive aggression. Defensive Fight predicted reactive aggression. BAS-Impulsivity predicted proactive aggression partially mediated by Social Dominance Orientation. These findings suggest proactive and reactive aggression are motivated by a combination of anxiety and rapid, approach-motivational personality traits. This study provides further understanding of the specific relations between rRST and aggression, is integrated into the general aggression model, and has implications for treatment of aggressive individuals.

Implementing and Monitoring Circular Business Models: An Analysis of Italian SMEs

The transition from a linear to a circular economy (CE) is at the center of the debate among institutions, enterprises, practitioners, and scholars. Small- and medium-sized enterprises (SMEs), with their high presence in the business environment, play a pivotal role in the successful implementation of CE principles. Therefore, this paper aims to understand the state of the CE among Italian SMEs, considering both their different sizes and sectors. This study investigates CE knowledge and application, strategic relevance, benefits from and barriers to the transition towards circular business models, and the use of CE-related performance indicators in management control and external reporting. Through an online survey carried out in cooperation with the Italian Confederation of Craft Trades and Small- and Medium-Sized Enterprises (CNA), we collected primary data from 623 respondents. Findings revealed the existence of cultural, technological, market and financial barriers, which have hampered the adoption of circular practices among Italian SMEs. Poor understanding of CE potential, combined with difficulty in raising public and private funds to finance the transition from linear to circular, are the greatest problems. To overcome such issues, we recommend serious intervention by public institutions, trade and consumer associations, and the higher education system to develop a climate more favorable to the CE.

Recruiting Participants for Population Health Intervention Research: Effectiveness and Costs of Recruitment Methods for a Cohort Study

Background

Public health research studies often rely on population-based participation and draw on various recruitment methods to establish samples. Increasingly, researchers are turning to web-based recruitment tools. However, few studies detail traditional and web-based recruitment efforts in terms of costs and potential biases.

Objective

This study aims to report on and evaluate the cost-effectiveness, time effectiveness, and sociodemographic representation of diverse recruitment methods used to enroll participants in 3 cities of the Interventions, Research, and Action in Cities Team (INTERACT) study, a cohort study conducted in Canadian cities.

Methods

Over 2017 and 2018 in Vancouver, Saskatoon, and Montreal, the INTERACT study used the following recruitment methods: mailed letters, social media (including sponsored Facebook advertisements), news media, partner communications, snowball recruitment, in-person recruitment, and posters. Participation in the study involved answering web-based questionnaires (at minimum), activating a smartphone app to share sensor data, and wearing a device for mobility and physical activity monitoring. We describe sociodemographic characteristics by the recruitment method and analyze performance indicators, including cost, completion rate, and time effectiveness. Effectiveness included calculating cost per completer (ie, a participant who completed at least one questionnaire), the completion rate of a health questionnaire, and the delay between completion of eligibility and health questionnaires. Cost included producing materials (ie, printing costs), transmitting recruitment messages (ie, mailing list rental, postage, and sponsored Facebook posts charges), and staff time. In Montreal, the largest INTERACT sample, we modeled the number of daily recruits through generalized linear models accounting for the distributed lagged effects of recruitment campaigns.

Results

Overall, 1791 participants were recruited from 3 cities and completed at least one questionnaire: 318 in Vancouver, 315 in Saskatoon, and 1158 in Montreal. In all cities, most participants chose to participate fully (questionnaires, apps, and devices). The costs associated with a completed participant varied across recruitment methods and by city. Facebook advertisements generated the most recruits (n=687), at a cost of CAD $15.04 (US $11.57; including staff time) per completer. Mailed letters were the costliest, at CAD $108.30 (US $83.3) per completer but served to reach older participants. All methods resulted in a gender imbalance, with women participating more, specifically with social media. Partner newsletters resulted in the participation of younger adults and were cost-efficient (CAD $5.16 [US $3.97] per completer). A generalized linear model for daily Montreal recruitment identified 2-day lag effects on most recruitment methods, except for the snowball campaign (4 days), letters (15 days), and reminder cards (5 days).

Conclusions

This study presents comprehensive data on the costs, effectiveness, and bias of population recruitment in a cohort study in 3 Canadian cities. More comprehensive documentation and reporting of recruitment efforts across studies are needed to improve our capacity to conduct inclusive intervention research.

The perspective of IT decision makers on factors influencing adoption and implementation of AI-technologies in 40 German Hospitals: Descriptive Analysis (Preprint)

Background

New artificial intelligence (AI) tools are being developed at a high speed. However, strategies and practical experiences surrounding the adoption and implementation of AI in health care are lacking. This is likely because of the high implementation complexity of AI, legacy IT infrastructure, and unclear business cases, thus complicating AI adoption. Research has recently started to identify the factors influencing AI readiness of organizations.

Objective

This study aimed to investigate the factors influencing AI readiness as well as possible barriers to AI adoption and implementation in German hospitals. We also assessed the status quo regarding the dissemination of AI tools in hospitals. We focused on IT decision makers, a seldom studied but highly relevant group.

Methods

We created a web-based survey based on recent AI readiness and implementation literature. Participants were identified through a publicly accessible database and contacted via email or invitational leaflets sent by mail, in some cases accompanied by a telephonic prenotification. The survey responses were analyzed using descriptive statistics.

Results

We contacted 609 possible participants, and our database recorded 40 completed surveys. Most participants agreed or rather agreed with the statement that AI would be relevant in the future, both in Germany (37/40, 93%) and in their own hospital (36/40, 90%). Participants were asked whether their hospitals used or planned to use AI technologies. Of the 40 participants, 26 (65%) answered “yes.” Most AI technologies were used or planned for patient care, followed by biomedical research, administration, and logistics and central purchasing. The most important barriers to AI were lack of resources (staff, knowledge, and financial). Relevant possible opportunities for using AI were increase in efficiency owing to time-saving effects, competitive advantages, and increase in quality of care. Most AI tools in use or in planning have been developed with external partners.

Conclusions

Few tools have been implemented in routine care, and many hospitals do not use or plan to use AI in the future. This can likely be explained by missing or unclear business cases or the need for a modern IT infrastructure to integrate AI tools in a usable manner. These shortcomings complicate decision-making and resource attribution. As most AI technologies already in use were developed in cooperation with external partners, these relationships should be fostered. IT decision makers should assess their hospitals’ readiness for AI individually with a focus on resources. Further research should continue to monitor the dissemination of AI tools and readiness factors to determine whether improvements can be made over time. This monitoring is especially important with regard to government-supported investments in AI technologies that could alleviate financial burdens. Qualitative studies with hospital IT decision makers should be conducted to further explore the reasons for slow AI.

Tolerability of MenACWY-TT vaccination in adolescents in the Netherlands; a cross-sectional study

BACKGROUND

In 2018, meningococcal ACWY-TT vaccine (MenACWY-TT) was offered to adolescents in the Netherlands within the National Immunization Programme at 14 years of age. A questionnaire study assessed the tolerability of this vaccine.

METHODS

Five thousand adolescents were invited to participate and to fill in two questionnaires about systemic events in the week before vaccination and local reactions and systemic events in the week after vaccination. Frequencies of local and systemic adverse events in the week after vaccination were calculated. Association between the occurrence of systemic symptoms in the week before and after the vaccination was tested by using generalized mixed models (GLMM).

RESULTS

Of all adolescents, 139 returned one or both questionnaires. Any local reaction within 7 days after vaccination was reported by 55.6% of the adolescents. Pain (50%) and reduced use of the injected arm (21.3%) were most often reported. Any systemic event was reported by 67.6% of the participants, with myalgia as the most often reported event (37.0%). Compared with the week before vaccination, there were no increased odds of experiencing systemic symptoms in the week after vaccination (OR 0.95; 95%CI 0.40-2.27).

CONCLUSIONS

After vaccination with MenACWY-TT vaccine, most adolescents reported one or more adverse events, which were mostly mild and transient. Systemic symptoms were not reported more often in the week after compared to the week before vaccination. Unfortunately, due to a low response rate we were not able to detect the absolute elevated risks the sample size calculation was based on. However, despite limited data, our results are in line with results from prelicensure data, and indicate that MenACWY-TT vaccination is well tolerated in adolescents.

Perceptions of Arguments in Support of Policies to Reduce Sugary Drink Consumption Among Low-Income White, Black and Latinx Parents of Young Children

Purpose:

To test for racial/ethnic differences in perceived argument strength in favor of structural interventions to curb childhood obesity among lower-income parents of young children.

Design:

Cross-sectional, self-report.

Setting:

Online research panel, national sample of 1485 US adults in Fall 2019.

Participants:

Parents of children (age 0-5 years) with an annual income <$40,000, stratified by White, Black and/or Latinx race/ethnicity.

Measures:

SSB consumption, policy support, and strength of arguments in favor of marketing restrictions and a penny-per-ounce tax.

Analysis:

Descriptive statistics, multivariable OLS models.

Results:

Race/ethnicity was not a significant predictor of the perceived strength of a composite of marketing arguments (p_Black = 0.07; p_Latinx = 0.10), however it was a significant predictor of the perceived strength of tax arguments (p_Black = 0.01; p_Latinx = 0.01). Perceptions of strength of 12 of 35 discrete SSB tax arguments differed by race/ethnicity (p < .05). Arguments regarding industry targeting of Black children (marketing: p_Black < .001; p_Latinx = .001; tax: p_Black < .001; p_Latinx = .001), were particularly demonstrative of this difference. In contrast, arguments that these policies would provide support for parents (marketing: p_Black = 0.20; p_Latinx = 0.84) and communities (tax: p_Black = 0.24; p_Latinx = 0.58) were seen as strong arguments across groups.

Conclusions:

Black and Hispanic/Latinx parents may be more prepared to move toward SSB policy support than white parents. Emphasizing community benefits of policy may be effective in moving constituents toward policy support across groups.

Younger people are more vulnerable to stress, anxiety and depression during COVID-19 pandemic: A global cross-sectional survey

The COVID-19 pandemic has had far-ranging consequences for general physical and mental health. Country-specific research reveals a general reduction in mental and physical well-being, due to measures undertaken to stop the spread of COVID-19 disease. However, research is yet to examine the impact of the pandemic on global psychological distress and its effects upon vulnerable groups. Exploration of the factors that potentially mediate the relationship between stress and mental health during this period is needed, to assist in undertaking concrete measures to mitigate psychological distress and support vulnerable groups. Therefore, this study examined the impact of the COVID-19 pandemic on psychological distress globally, and identified factors that may exacerbate decline in mental health. N = 1653 participants (mean age 42.90 ± 13.63 years; 30.3% males) from 63 countries responded to the survey. Depression and anxiety were assessed using the Patient Health Questionnaire and State Trait Anxiety Inventory, respectively. Other measures included the Perceived Stress Scale, the Pittsburgh Sleep Quality Index, 3-item UCLA Loneliness Scale and the Brief Resilient Coping Scale. Globally, consistently high levels of stress, anxiety, depression and poor sleep were observed regardless of number of COVID-19 cases. Over 70% of the respondents had greater than moderate levels of stress, with 59% meeting the criteria for clinically significant anxiety and 39% reporting moderate depressive symptoms. People with a prior mental health diagnosis experienced greater psychological distress. Poor sleep, lower levels of resilience, younger age and loneliness significantly mediated the links between stress and depression, and stress and anxiety. Age-based differences revealed that younger age-groups were more vulnerable to stress, depression and anxiety symptoms. Results show that these vulnerable individuals need more support. Age-specific interventions for modifiable factors that mediate the psychological distress need to urgently deployed to address the global mental health pandemic.

Adult Patient Preferences for Long-Acting ADHD Treatments: A Discrete Choice Experiment

BACKGROUND AND OBJECTIVE

Treatment for attention deficit hyperactivity disorder (ADHD) requires a multifaceted approach including psychosocial interventions and pharmacological treatment. This study evaluates preferences for specific attributes associated with different long-acting stimulant treatment among US adults with ADHD.

METHODS

Patients completed an online, cross-sectional survey, incorporating a discrete choice experiment to assess preferences for attributes.

RESULTS

Analyses included 200 adults with ADHD (mean age 33.0 years; 60% self-reporting moderate severity); the mean (SD) Adult ADHD Self-Report Scale-v1.1 score was 45.9 (12.4). Overall, patients valued speed of onset most and risk of rebound least. Three population groups with distinct preferences were identified: side effect-driven (n=69, 35%), quick onset-driven (n=47, 24%) and quick onset and long duration-driven (n=84, 42%).

CONCLUSION

This study shows differences in how adults with ADHD value and assess benefit-risk trade-offs when considering the desired attributes of stimulant treatments, highlighting the importance of patient-physician shared decision-making to optimize the desired benefits of individualized treatment.

Public opinions on seven different stray cat population management scenarios in Flanders, Belgium

Stray cat population management is an important worldwide issue. Understanding citizen attitudes towards stray cat control options is vital to the success of controlling stray cat numbers, as public perception affects the acceptance of, support for and collaboration in stray cat management policies. Audience segmentation, as to enable each group to be engaged in the stray cat management policy, is important for the success of the interventions. Therefore a web-based survey was conducted among Flemish citizens in order to examine differences in acceptance towards seven management scenarios: household cat neutering with financial support for the owner, household cat neutering without financial support for the owner, encouraging responsible household cat ownership, trapping stray cats and taking them to a shelter, trapping and neutering stray cats for release into a managed "cat colony" (composed by so called "community cats"), trapping and killing of stray cats, and undertaking no action. A total of 4059 valid responses were collected and the proportions of agreement were compared across the different management scenarios using the two-sample z-test. Interactions among factors that influenced each management scenario were investigated using the CHAID (Chi-squared Automatic Interaction Detection) analysis and visualized on a tree. Our results showed that fostering responsible household cat ownership (89.9%) and conversion of stray cats to "community cats" (76.3%) were most supported by respondents in our sample (which consisted mainly of females, cat-lovers, and families without children). Least supported were the killing of stray cats (7.7%) and undertaking no action (3.3%). The demographic analyses revealed that for the acceptance of management scenarios there were three important factors (attitude towards cats, area of residence, and gender), two weaker factors (education and having children) and two which had almost no impact (age and cat ownership). We propose that future studies should focus on the effect of 'area of residence', 'having children' and 'education'. In conclusion, our research confirms that management of and communication on stray cat strategies should not be developed with a one-size-fits-all approach. Efforts should be tailored to each audience segment, thus adapted to the area of residence and human characteristics.

Understanding Willingness to Share Smartphone-Sensor Data

The growing smartphone penetration and the integration of smartphones into people's everyday practices offer researchers opportunities to augment survey measurement with smartphone-sensor measurement or to replace self-reports. Potential benefits include lower measurement error, a widening of research questions, collection of in situ data, and a lowered respondent burden. However, privacy considerations and other concerns may lead to nonparticipation. To date, little is known about the mechanisms of willingness to share sensor data by the general population, and no evidence is available concerning the stability of willingness. The present study focuses on survey respondents' willingness to share data collected using smartphone sensors (GPS, camera, and wearables) in a probability-based online panel of the general population of the Netherlands. A randomized experiment varied study sponsor, framing of the request, the emphasis on control over the data collection process, and assurance of privacy and confidentiality. Respondents were asked repeatedly about their willingness to share the data collected using smartphone sensors, with varying periods before the second request. Willingness to participate in sensor-based data collection varied by the type of sensor, study sponsor, order of the request, respondent's familiarity with the device, previous experience with participating in research involving smartphone sensors, and privacy concerns. Willingness increased when respondents were asked repeatedly and varied by sensor and task. The timing of the repeated request, one month or six months after the initial request, did not have a significant effect on willingness.

The Austrian Corona Panel Project: monitoring individual and societal dynamics amidst the COVID-19 crisis

Systematic and openly accessible data are vital to the scientific understanding of the social, political, and economic consequences of the COVID-19 pandemic. This article introduces the Austrian Corona Panel Project (ACPP), which has generated a unique, publicly available data set from late March 2020 onwards. ACPP has been designed to capture the social, political, and economic impact of the COVID-19 crisis on the Austrian population on a weekly basis. The thematic scope of the study covers several core dimensions related to the individual and societal impact of the COVID-19 crisis. The panel survey has a sample size of approximately 1500 respondents per wave. It contains questions that are asked every week, complemented by domain-specific modules to explore specific topics in more detail. The article presents details on the data collection process, data quality, the potential for analysis, and the modalities of data access pertaining to the first ten waves of the study.

Reporting Survey Based Studies - a Primer for Authors

The coronavirus disease 2019 (COVID-19) pandemic has led to a massive rise in survey-based research. The paucity of perspicuous guidelines for conducting surveys may pose a challenge to the conduct of ethical, valid and meticulous research. The aim of this paper is to guide authors aiming to publish in scholarly journals regarding the methods and means to carry out surveys for valid outcomes. The paper outlines the various aspects, from planning, execution and dissemination of surveys followed by the data analysis and choosing target journals. While providing a comprehensive understanding of the scenarios most conducive to carrying out a survey, the role of ethical approval, survey validation and pilot testing, this brief delves deeper into the survey designs, methods of dissemination, the ways to secure and maintain data anonymity, the various analytical approaches, the reporting techniques and the process of choosing the appropriate journal. Further, the authors analyze retracted survey-based studies and the reasons for the same. This review article intends to guide authors to improve the quality of survey-based research by describing the essential tools and means to do the same with the hope to improve the utility of such studies.

Digital Psychological Platform for Mass Web-Surveys

Web-surveys are one of the most popular forms of primary data collection used for various researches. However, mass surveys involve some challenges. It is required to consider different platforms and browsers, as well as different data transfer rates using connections in different regions of the country. Ensuring guaranteed data delivery in these conditions should determine the right choice of technologies for implementing web-surveys. The paper describes the solution to transfer a questionnaire to the client side in the form of an archive. This technological solution ensures independence from the data transfer rate and the stability of the communication connection with significant survey filling time. The conducted survey benefited the service of education psychologists under the federal Ministry of Education. School psychologists consciously took part in the survey, realizing the importance of their opinion for organizing and improving their professional activities. The desire to answer open-ended questions in detail created a part of the answers in the dataset, where there were several sentences about different aspects of professional activity. An important challenge of the problem is the Russian language, for which there are not as many tools as for the languages more widespread in the world. The survey involved 20,443 school psychologists from all regions of the Russian Federation, both from urban and rural areas. The answers did not contain spam, runaround answers, and so on as evidenced by the average response time. For the surveys, an authoring development tool DigitalPsyTools.ru was used.

Prevalence and Epidemiologic Profile of Oral Infection with Alpha, Beta, and Gamma Papillomaviruses in an Asian Chinese Population

Background

Knowledge of the prevalence of and risk factors for oral human papillomavirus (HPV) infection, especially cutaneous types, is limited.

Methods

A population-based study using next-generation sequencing consecutively recruited asymptomatic individuals aged 18–64 years from a proportional sampling of the general population of Hong Kong, according to age groups, gender, and regions of residence. We examined associations of alpha-, beta-, and gamma-HPVs from oral rinse samples with participants’ sociodemographics by logistic regression models.

Results

The prevalence of oral HPV infection among 1426 ethnic Chinese was 15.5% (95% confidence interval [CI], 13.7%–17.5%), 2.5% (95% CI, 1.8%–3.5%), 11.9% (95% CI, 10.3%–13.6%), and 2.9% (95% CI, 2.1%–3.9%) for any type, alpha-, beta-, and gamma-HPV, respectively. Prevalence of any high-risk HPV was 0.8% (95% CI, 0.4%–1.4%), and that of HPV-16 was 0.4% (95% CI, 0.2%–0.8%). HPV-8 and HPV-98 were the most common beta types detected, while HPV-4 and HPV-SD2R were the most common gamma types. Prevalence of alpha- and beta/gamma-HPV infection showed a similar pattern of increase with age, and was higher in men than women. Smoking, drinking, oral sex, and more sexual partners were associated with alpha-HPV. Teeth brushing before sleep was protective for beta/gamma-HPVs.

Discussion

The epidemiologic factors associated with oral infection with alpha-HPVs are different from those of beta/gamma-HPVs, suggesting different modes of acquisition and persistence.

Advancing the Science of Recruitment for Family Caregivers: Focus Group and Delphi Methods

Background

Successful recruitment of participants is imperative to a rigorous study, and recruitment challenges are not new to researchers. Many researchers have used social media successfully to recruit study participants. However, challenges remain for effective online social media recruitment for some populations.

Objective

Using a multistep approach that included a focus group and Delphi method, researchers performed this study to gain expert advice regarding material development for social media recruitment and to test the recruitment material with the target population.

Methods

In the first phase, we conducted a focus group with 5 social media experts to identify critical elements for effective social media recruitment material. Utilizing the Delphi method with 5 family caregivers, we conducted the second phase to reach consensus regarding effective recruitment videos.

Results

Phase I utilized a focus group that resulted in identification of three barriers related to social media recruitment, including lack of staff and resources, issues with restrictive algorithms, and not standing out in the crowd. Phase II used the Delphi method. At the completion of Delphi Round 1, 5 Delphi participants received a summary of the analysis for feedback and agreement with our summary. Using data and recommendations from Round 1, researchers created two new recruitment videos with additions to improve trustworthiness and transparency, such as the university's logo. In Round 2 of the Delphi method, consensus regarding the quality and trustworthiness of the recruitment videos reached 100%.

Conclusions

One of the primary challenges for family caregiver research is recruitment. Despite the broad adoption of social media marketing approaches, the effectiveness of online recruitment strategies needs further investigation.

Willingness to Participate in Passive Mobile Data Collection

The rising penetration of smartphones now gives researchers the chance to collect data from smartphone users through passive mobile data collection via apps. Examples of passively collected data include geolocation, physical movements, online behavior and browser history, and app usage. However, to passively collect data from smartphones, participants need to agree to download a research app to their smartphone. This leads to concerns about nonconsent and nonparticipation. In the current study, we assess the circumstances under which smartphone users are willing to participate in passive mobile data collection. We surveyed 1,947 members of a German nonprobability online panel who own a smartphone using vignettes that described hypothetical studies where data are automatically collected by a research app on a participant's smartphone. The vignettes varied the levels of several dimensions of the hypothetical study, and respondents were asked to rate their willingness to participate in such a study. Willingness to participate in passive mobile data collection is strongly influenced by the incentive promised for study participation but also by other study characteristics (sponsor, duration of data collection period, option to switch off the app) as well as respondent characteristics (privacy and security concerns, smartphone experience).

Using Facebook in Recruiting Kidney Transplant Recipients for a REDCap Study

This web-based study recruited kidney transplant recipients from Facebook using three recruiting methods over a 5-week period. Participants completed 125 survey items via REDCap (Research Electronic Data Capture) survey. Facebook recruitment generated 153 eligible participants who completed surveys. The average survey response time was 15.07 min (SD = 6.12; range: 4-43), with a low missing item rate (<5%). Facebook's standard ads were most effective for recruiting subjects (n = 78, 51%), followed by three targeted Facebook kidney transplant support groups (n = 52, 34%) and a pay-to-promote study page (n = 12, 7.8%). The average cost paid for each valid survey was US$2.19 through standard Facebook ads and US$2.92 from the study page. The cost for online survey completion is economically feasible even for those with limited funds. Issues related to online surveys including extreme survey response times and participant misrepresentation were reported in this study.

Why Do Parents Grant or Deny Consent for Adolescent Participation in Sexuality Research?

To date, there is limited knowledge about how parents make decisions about adolescents' participation in sexuality research. This gap was addressed in the present study, which explored parents' reasons for providing or denying consent and their suggestions for improving the likelihood of consent. 151 parents responded through anonymous internet surveys (85.3 % mothers; 87 % European American). Those who would likely consent were largely motivated by potential benefits and limited risks of participating in the study. Those unlikely to consent expressed discomfort with sexual content, which they viewed as inappropriate for sexually-naïve adolescents. Most were somewhat more likely to consent if researchers engaged in ethical research practices (e.g., protecting confidentiality). As in other adolescent life domains, parents' decisions strongly reflected their desire to protect their teenagers' wellbeing, though respondents' means of pursuing this goal varied. The discussion centers on the findings' implications for theory development and recruitment efforts.