Digital Survey Research Articles

Large variations in atrial fibrillation screening practice after ischemic stroke and transient ischemic attack in Sweden: a survey study

BackgroundAtrial fibrillation (AF) screening after ischemic stroke or transient ischemic attack (TIA) is given high priority in clinical guidelines. However, patient selection, electrocardiogram (ECG) modality and screening duration remains undecided and current recommendations vary.MethodsThe aim of this study was to investigate the clinical practice of AF screening after ischemic stroke or TIA at Swedish stroke units. In collaboration with the stakeholders of the Swedish Stroke Register (Riksstroke) a digital survey was drafted, then tested and revised by three stroke consultants. The survey consisted of 17 multiple choice/ free text questions and was sent by e-mail to the medical directors at all stroke units in Sweden.ResultsAll 72 stroke units in Sweden responded to the survey. Most stroke units reported that ≥ 75% of ischemic stroke (69/72 stroke units) or TIA patients (67/72 stroke units), without previously known AF, were screened for AF. Inpatient telemetry ECG was the method of first-choice in 81% of the units, but 7% reported lack of access. A variety of standard monitoring durations were used for inpatient telemetry ECG. The second most common choice was Holter ECG (17%), also with considerable variations in monitoring duration. Other AF screening modalities were used as a first-choice method (handheld and patch ECG) but less frequently.ConclusionsClinical practice for AF screening after ischemic stroke or TIA differed between Swedish stroke units, both in choice of AF screening methods as well as in monitoring durations. There is an urgent need for evidence and evidence-based recommendations in this field.Trial registrationNot applicable.

Factors related to a positive childbirth experience – a cross-sectional study

ABSTRACT Background/aims Giving birth is a life-changing experience for women. Most previous studies have focused on risk factors for a negative childbirth experience. The primary aim of this study was to assess childbirth experience in a sample of postnatal Swedish women. The secondary aim was to analyse demographic and clinical determinants associated with a positive birth experience. Design/Methods A digital survey including the instrument Childbirth Experience Questionnaire 2 (CEQ2) was answered by 619 women six to 16 weeks postpartum. Regression analyses were made assessing the impact that different factors had on the overall childbirth experience and the four subscales of CEQ2: Own Capacity, Perceived Safety, Professional Support and Participation. Results Overall, women were satisified with their birthing experience. Several factors contributed to a positive childbirth experience. Having a vaginal mode of birth (without vacuum extraction) together with not having ongoing mental health problems were the factors with the most influence on the total childbirth experience. Not having maternal complications postpartum and receiving much support from a trusted birth companion were two other important factors. Conclusion Although Swedish women tend to express satisfaction with their childbirth experiences, there is a necessity to advocate for a childbirth approach that optimises the chance of giving birth vaginally rather than with vacuum extraction or acute caesarean section, and reduces the risk for complications whenever possible. During pregnancy, mental health problems should be appropriately addressed. Healthcare professionals could also more actively involve the birth companion in the birthing process and equip them with the necessary tools to effectively support birthing women.

Less Depression Associated with Social Support Among Older Urban Adults

ABSTRACT Objectives We examined the association between social and emotional support and screening for depression in older adults (aged 70 years and older) living in New York City during COVID-19 pandemic. Methods Between February and March 2022, 298 participants who had previously completed a random digital dial survey of landlines in New York City and consented to follow-up completed the second round survey. The outcome of interest – depression – was assessed using the PHQ-2. Results Participants had a mean age of 78 years (SE = 0.49), were majority (60.8%) female and 42.4% lived alone. Overall, 20.2% of participants screened likely for depression. In the multivariable logistic regression, compared to participants who reported “always or usually” receiving social and emotional support, those who reported receiving such support “sometimes” had 1.9 (p = .251) the odds of screening for depression, and those who reported “rarely or never” receiving social and emotional support had 4.9 (p = .003) the odds of screening likely for depression. Conclusion The findings highlight the importance of promoting social connectedness and support networks and indicate a potential mechanism for improving the prevention and management of depression in older adults during major health threats such as natural disasters, catastrophic weather, or other emergencies.

Using an ecological model of health behaviour to identify factors associated with smoking behaviour among Buddhist novices in Thailand: a cross-sectional digital survey

ObjectiveBuddhist novices reside in Buddhist temples, which are legally designated as smoke-free areas. Nevertheless, similar to other men in their age group, they are susceptible to various risk factors that...

The mediating role of emotional intelligence in the relationship between learning motivation and academic outcomes: Conditional indirect effect of gender.

The role of emotional intelligence and learning motivation in shaping university students' academic outcomes has received greater attention, especially during the modernization era. Thus, this study investigates the mediating role of emotional intelligence in the relationship between learning motivation and academic outcomes while examining the gender-conditional indirect effect. A cross-sectional study was conducted in four randomly chosen cities in Saudi Arabia (Riyadh, Jeddah, Hail, and Yanbu), where 400 health science students were conveniently selected using equal allocation (100 students/campus). A digital survey was used for data collection (April-May 2022) containing three sections: Personal Characteristics and Academic Outcomes, Modified Schutte Self-Report Inventory, and Academic Motivation Scale. Emotional intelligence positively correlated with learning motivation (r = 0.525, P < 0.001) and academic outcomes (r = 0.153, P < 0.001), where academic outcomes had a weak positive correlation with learning motivation (r = 0.115, P = 0.014). Mediation analysis confirmed that emotional intelligence fully mediates the relationship between learning motivation and academic outcomes with an insignificant direct effect of learning motivation on academic outcomes [(β =0.049, P = 0.573), 95% CI (-0.059, 0.144)]. The conditional indirect effect of gender significantly moderated 16.1% of the mediating effect of emotional intelligence [(β =0.161, P = 0.005), 95% CI (0.035, 0.273)]. The significant indirect effect was proved for the male gender only [(β = 0.157, P = 0.004), 95% CI (0.072, 0.240)]. No significant gender differences concerning emotional intelligence (P = 0.534) and academic outcomes (P = 0.466) were detected. However, male students had significantly higher learning motivation than female students (P < 0.001). Emotional intelligence completely mediates the relationship between learning motivation and outcomes with a stronger mediating effect for male students. Thus, policymakers must focus on improving the students' emotional intelligence skills to boost their learning motivation and academic outcomes.

예비유아교사의 디지털 역량에 대한 교육요구도 분석

Objectives The purpose of this study was to investigate early childhood pre-service teachers’ educational needs for digital competency.&#x0D; Methods We developed questions for digital competency survey according to the purpose of this study. Educational needs were analyzed based on paired-sample test, Borich need assessment, and the Locus for Focus Model.&#x0D; Results The results of this study can be summarized as follows. First, “Digital Thinking Ability” and “Digital Educational Environment Operation” were found to be important considered areas among digital competency of early childhood pre-service teachers. Second, as a result of analyzing the top and second priority for each area, “Digital Citizenship”, “Digital Data Utilization”, “Digital Educational Environment Operation” and “Digital Utilization Communication” was the top priority with needs.&#x0D; Conclusions This study provides basic data for the digital competency support plan for early childhood pre-service teachers and educational direction in the teacher training process.&#x0D;

Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia.

Background Artificial intelligence (AI) in healthcare is rapidly advancing, reshaping diagnostic, prognostic, and operational tasks in healthcare institutions. The adoption of AI among physicians is varied, with concerns over job loss, medical errors, and lack of emotional intelligence. This study aimed to assess physicians' attitudes and perceptions toward AI in clinical practice in Jeddah, Saudi Arabia, and the factors affecting these attitudes and perceptions. Methodology A cross-sectional study was conducted among physicians at two major hospitals in Jeddah. An in-person digital survey consisted of questions regarding demographic characteristics, attitudes toward clinical AI, and perceptions of AI's impact on healthcare. Results Of the 205 participants, 76% agreed on the accuracy of AI systems, and 60% acknowledged their efficiency as a factor that could influence their willingness to use clinical AI. However, only 25.9% reported using these systems in the past year, with the majority, 74.1%, indicating they had never used them. Notably, there was a significant association between gender and attitude toward AI, with males being more likely to have a positive attitude (p = 0.01). Conclusions While the majority of participants recognized the potential benefits of AI in healthcare, its actual utilization was low. The findings suggest the need for increased AI-related training and education among physicians and the fostering of collaboration between computer scientists, engineers, and medical professionals to accelerate the development of clinically relevant AI tools.

Efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT) in Individuals With Chronic Pain and Opioid Use Disorder: Protocol for a Randomized Clinical Trial of a Digital Cognitive Behavioral Treatment.

Chronic pain is common among individuals with opioid use disorder (OUD) who are maintained on medications for OUD (MOUD; eg, buprenorphine or methadone). Chronic pain is associated with worse retention and higher levels of substance use. Treatment of individuals with chronic pain receiving MOUD can be challenging due to their increased clinical complexity. Given the acute and growing nature of the opioid crisis, MOUD is increasingly offered in a wide range of settings, where high-quality, clinician-delivered, empirically validated behavioral treatment for chronic pain may not be available. Therefore, digital treatments that support patient self-management of chronic pain and OUD have the potential for wider implementation to fill this gap. This study aims to evaluate the efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT), an interactive digital treatment program with asynchronous coach feedback, compared to treatment as usual (TAU) in individuals with chronic pain and OUD receiving MOUD. Adult participants (n=160) receiving MOUD and reporting bothersome or high-impact chronic pain will be recruited from outpatient opioid treatment programs in Connecticut (United States) and randomized 1:1 to either IMPACT+TAU or TAU only. Participants randomized to IMPACT+TAU will complete an interactive digital treatment that includes 9 modules promoting training in pain and addiction coping skills and a progressive walking program. The program is augmented with a weekly personalized voice message from a trained coach based on daily participant-reported pain intensity and interference, craving to use opioids, sleep quality, daily steps, pain self-efficacy, MOUD adherence, and engagement with IMPACT collected through digital surveys. Outcomes will be assessed at 3, 6, and 9 months post randomization. The primary outcome is MOUD retention at 3 months post randomization (ie, post treatment). Secondary outcomes include pain interference, physical functioning, MOUD adherence, substance use, craving, pain intensity, sleep disturbance, pain catastrophizing, and pain self-efficacy. Semistructured qualitative interviews with study participants (n=34) randomized to IMPACT (completers and noncompleters) will be conducted to evaluate the usability and quality of the program and its outcomes. The study has received institutional review board approval and began recruitment at 1 site in July 2022. Recruitment at a second site started in January 2023, with a third and final site anticipated to begin recruitment in January 2024. Data collection is expected to continue through June 2025. Establishing efficacy for a digital treatment for addiction and chronic pain that can be integrated into MOUD clinics will provide options for individuals with OUD, which reduce barriers to behavioral treatment. Participant feedback on the intervention will inform updates or modifications to improve engagement and efficacy. ClinicalTrials.gov NCT05204576; https://clinicaltrials.gov/ct2/show/NCT05204576. DERR1-10.2196/54342.

The prevalent perplexities and countermeasures of the survey and settlement operation of Bangladesh

Identification of land through an effective land survey ensures a secure land tenure system as well as conveys a smooth settlement of land disputes. At this backdrop, the study is framed with the objective of assessing the efficacy of Zonal Settlement System (ZSS) in Bangladesh. Using non-doctrinal data collection techniques, the study found that the prevailing settlement operation conducted under ZSS in Bangladesh is surrounded by a traditional, complex, and lengthy survey method. The study also revealed that insufficient manpower, inadequacy of technical support, administrative misfeasance, and ineffective dispute resolution arrangements worsen the situation. However, the study discovered that initiation of digital land survey and inauguration of an extensive capacitybuilding program will be instrumental in overcoming the crisis. Based on the deliberate discussion, the study also recommends for establishing a time-saving and fruitful land surveying approach, along with effective and robust supervisory administration and dispute resolution authority.

Impact of early preeclampsia prediction on medication adherence and behavior change: a survey of pregnant and recently-delivered individuals

BackgroundBehavior change and medication adherence represent potential barriers to optimal prevention of pregnancy complications including preeclampsia. We sought to evaluate baseline sentiments on pregnancy care and medication amenability, and how these measures would be impacted by early predictive testing for preeclampsia.MethodsWe developed a digital survey to query participants’ baseline sentiments on pregnancy care, knowledge about pregnancy complications, and views on a hypothetical test to predict preeclampsia. The survey was administered online to pregnant and recently-delivered individuals in the United States. Survey data were analyzed using pooled two-sample proportion z-tests with adjustment for multiple comparisons.ResultsOne thousand and twenty-two people completed the survey. 84% reported they were satisfied with their pregnancy care. Self-assessed knowledge about preeclampsia was high, with 75% of respondents reporting they have a “good understanding” of preeclampsia, but measured knowledge was low, with only 10% able to identify five common signs/symptoms of preeclampsia. Notably, 40% of participants with prior preeclampsia believed they were at average or below-average risk for recurrence. 91% of participants desired early pregnancy predictive testing for preeclampsia. If found to be at high risk for preeclampsia, 88% reported they would be more motivated to follow their provider’s medication recommendations and 94% reported they would desire home blood pressure monitoring. Increased motivation to follow clinicians’ medication and monitoring recommendations was observed across the full spectrum of medication amenability. Individuals who are more medication-hesitant still reported high rates of motivation to change behavior and adhere to medication recommendations if predictive testing showed a high risk of preeclampsia. Importantly, a high proportion of medication-hesitant individuals reported that if a predictive test demonstrated they were at high risk of preeclampsia, they would feel more motivated to take medications (83.0%) and aspirin (75.9%) if recommended.ConclusionWhile satisfaction with care is high, participants desire more information about their pregnancy health, would value predictive testing for preeclampsia, and report they would act on this information. Improved detection of at-risk individuals through objective testing combined with increased adherence to their recommended care plan may be an important step to remedy the growing gap in prevention.

A survey study on antibiotic prescription practices for acute asthma exacerbations: An European academy of allergy and clinical immunology task force report.

Guidelines recommend treating asthma exacerbations (AAEs) with bronchodilators combined with inhaled and/or systemic corticosteroids. Indications for antibiotic prescriptions for AAEs are usually not incorporated although the literature shows antibiotics are frequently prescribed. To investigate the antibiotic prescription rates in AAEs and explore the possible determining factors of those practices. A digital survey was created to determine the antibiotic prescription rates in AAEs and the influencing factors for the prescription practices. The survey was distributed among European academy of allergy and clinical immunology (EAACI) members by mass emailing and through regional/national societies in the Netherlands, Italy, Greece, and Poland. Furthermore, we retrieved local antibiotic prescription rates. In total, 252 participants completed the survey. Respondents stated that there is a lack of guidelines to prescribe antibiotics in AAEs. The median antibiotic prescription rate in this study was 19% [IQR: 0%-40%] and was significantly different between 4 professions: paediatrics 0% [IQR: 0%-37%], pulmonologists 25% [IQR: 10%-50%], general practitioners 25% [IQR: 0%-50%], and allergologists 17% [IQR: 0%-33%]) (p=0.046). Additional diagnostic tests were performed in 71.4% of patients before prescription and the most common antibiotic classes prescribed were macrolides (46.0%) and penicillin (42.9%). Important clinical factors for health care providers to prescribe antibiotics were colorised/purulent sputum, abnormal lung sounds during auscultation, fever, and presence of comorbidities. In 19% of patients with AAEs, antibiotics were prescribed in various classes with a broad range among different subspecialities. This study stresses the urgency to compose evidence-based guidelines to aim for more rational antibiotic prescriptions for AAE.

Rethinking Data Collection Methods During the Pandemic: Development and Implementation of CATI for the All of Us Research Program.

The All of Us Research Program is a longitudinal cohort study aiming to build a diverse database to advance precision medicine. The COVID-19 pandemic hindered the ability of participants to receive in-person assistance at enrollment sites to complete digital surveys. Therefore, the program implemented Computer-Assisted Telephone Interviewing (CATI) to facilitate survey completion remotely to combat the disrupted data collection procedures. In January 2021, All of Us implemented a 1-year CATI Pilot supporting 9399 participants and resulting in 16 337 submitted surveys. The pilot showed that CATI was successful in increasing survey completion and retention activities for the All of Us Research Program, given the additional remote support offered to participants. Given the success of the CATI Pilot, multimodal survey administration will continue.

Use of Social Networking Sites for Citizen Journalism

Social networking sites have become important platforms for obtaining political information. Nevertheless, a crucial inquiry in this context pertains to the reliability of social networking sites (SNS) as a political information source. This study investigated the extent to which politically engaged online users perceive social networking sites (SNS) as trustworthy. The positivist philosophical stance was adopted to explain the phenomena. Moreover, the deductive approach was intricated in this study to test the framed hypotheses. A digital survey strategy was used for individuals who frequently engage with social media platforms. The data was electronically collected from October 19 to November 1, 2023. The target population for this study was active social media users in Pakistan who were between the ages of 18 and 34 and data was gathered using the purposive sampling technique. The ultimate sample comprised 384 users via using the cross-sectional study design. This study found social networking sites (SNS) the least credible among the various traditional and online sources. The strongest indicator of social networking site (SNS) credibility was found to be the extent of reliance on these platforms. Moreover, it is concluded that utilizing social network sites (SNS) can be an as effective means to convince voters to support their campaigns.

결혼이주여성의 디지털 정보 활용 역량, 사회자본, 삶의 만족도 관계

The purpose of this study is to verify the mediating effect of social capital in the relationship between marriage immigrant women's digital information utilization capabilities and life satisfaction. To achieve this research objective, the responses of 563 women among marriage immigrants in the “2022 Digital Information Gap Survey” data were used using SPSS 25.0 and AMOS 24.0 statistical packages, with digital information utilization capabilities as the independent variable and life satisfaction as the dependent variable. It was set to . In addition, the hypothesis was tested using a structural equation model using social capital, which is expected to play a mediating role in their relationship, as a mediating variable. As a result, first, the impact of marriage immigrant women's digital information utilization capabilities on life satisfaction was not statistically significant. Second, marriage immigrant women's ability to use digital information had a positive effect on social capital. Third, the social capital of married immigrant women was found to have a positive (+) effect on life satisfaction. Fourth, as a result of confirming statistical significance through bootstrapping of the impact of digital information utilization capabilities on life satisfaction through social capital, the confidence interval did not include 0 and was statistically significant. As a result, it was confirmed that marriage immigrant women's social capital fully mediated the relationship between their digital information utilization capabilities and life satisfaction. Based on these research results, practical and policy efforts to improve the life satisfaction of married immigrant women were suggested.

The Child Friendly Cities Initiative-Minneapolis Model.

The Child Friendly Cities Initiative (CFCI) is a UNICEF framework based on the UN Convention on the Rights of the Child (CRC). CFCI was launched globally in 1996 to protect children's rights throughout the world. There are child friendly cities in over 44 countries around the globe, but none presently in the United States. The purpose was to establish a Child Friendly City in the United States. Child friendly cities are a child-rights and equity-based approach designed to ensure all children in a community reach their full potential for optimal health, development, and well-being. The paper discusses the development of the guiding principles of the CFCI-Minneapolis Model as well as a community needs assessment. The assessment consisted of a digital survey of 60 questions on the SurveyMonkey platform. The sample included 173 Minneapolis youth 10-18 years of age and 85 parents with children less than five years of age. The participants were drawn from four of the 83 Minneapolis neighborhoods that had the highest concentration of children and youth, communities of color, and immigrant families that have historically been under resourced. The results of the community assessment guided the development of four programmatic initiatives. These included child rights learning & awareness, emergency preparedness & planning, community safety, and youth participation in decision making. The paper concludes with the lesson learned to date in the implementation of the CFCI-Minneapolis Model. These include partnership, dedication, leadership, community engagement, coalition building, and celebrating success. CFCI-Minneapolis received full designation from UNICEF USA as a child friendly city in February 2024.

Behavioral Insights from Vaccine Adoption in Nigeria: Cross-Sectional Survey Findings.

To generate behavioral insights for the development of effective vaccination interventions, we need approaches that combine rapid and inexpensive survey data collection with instruments based on easy-to-use behavior models. This study demonstrates how an inexpensive digital survey helped identify the drivers of COVID-19 vaccination in Nigeria. This study aims to illustrate how behavioral insights can be generated through inexpensive digital surveys. We designed and conducted a cross-sectional survey with multistage sampling. Data were collected from Nigerians (aged ≥18 years) from 120 strata based on age, sex, state, and urban or rural location. Respondents were recruited via advertisements on Meta platforms (Facebook and Instagram) using the Virtual Lab open-source tool. We used a Meta Messenger chatbot for data collection; participants were compensated with 400 naira (US $0.87 cents). Data collection took 2 weeks. In total, 957 respondents completed the survey, at an advertising cost of US $1.55 per respondent. An 18-item instrument measuring core motivators, ability barriers, sociodemographic characteristics, and respondents' vaccination status was pretested before data collection. We ran separate logistic regression models to examine the relationships between vaccine uptake and core motivators, ability barriers, and sociodemographic variables. A final model that predicted vaccine uptake included all 3 sets of variables. About 56% (n=540) of respondents reported that they had received at least 1 COVID-19 vaccination. Three core motivators were positively associated with vaccine uptake: the belief that the COVID-19 vaccine promised a better life (adjusted odds ratio [aOR] 3.51, 95% CI 2.23-5.52), the belief that the vaccine would allow respondents to do more things they enjoyed (aOR 1.97, 95% CI 1.33-2.93), and respondents' perception that their friends and family members accepted their decision to get vaccinated (aOR 1.62, 95% CI 1.06-2.48). Two ability barriers were negatively associated with vaccine uptake: cost- or income-related concerns lowered the odds of being vaccinated (aOR 0.35, 95% CI 0.24-0.50) and the lack of availability of vaccines at places respondents routinely visited also lowered their odds of being vaccinated (aOR 0.29, 95% CI 0.21-0.40). After adjusting for other variables, the perceived fear of getting COVID-19 and the hardship associated with the disease were no longer associated with vaccine uptake. These findings suggest that hope is more important for Nigerians than fear when it comes to vaccine adoption, enjoying life is more important than worrying about getting the disease, and approval from friends and family is more powerful than their disapproval. These findings suggest that emphasizing the benefits of leading a fuller life after being vaccinated is more likely to succeed than increasing Nigerians' fear of COVID-19. This study identifies a very different set of factors associated with COVID-19 vaccine adoption than previous Nigerian studies.

The lived experience of people affected by cancer: A global cross-sectional survey protocol.

A diagnosis of cancer impacts the person's physical and mental health and the psychosocial and financial health of their caregivers. While data on the experience of living with cancer is available, there is a dearth of data from persons in low- and middle-income countries (LMICs). The perspectives of other impacted individuals also remain understudied (e.g., bereaved family members), as well as the impact on survivors and their families over time. The objective of this study is to describe the psychosocial and financial impact of cancer on people diagnosed with cancer as a child, adolescent or adult, their families/caregivers, and the family members of those who have died from cancer, in high-income countries (HICs) and LMICs. This study is an observational, descriptive, quantitative study. Data will be collected anonymously via a digital online cross-sectional survey distributed globally by the World Health Organization (WHO) via the LimeSurvey software. Participants will include (a) adults aged 18+ who have been diagnosed with cancer at any age, who are currently undergoing cancer treatment or who have completed cancer treatment; (b) adult family members of individuals of any age with a cancer diagnosis, who are currently undergoing cancer treatment or who have completed cancer treatment; and (c) bereaved family members. Participants will be anonymously recruited via convenience and snowball sampling through networks of organisations related to cancer. Survey results will be analysed quantitatively per respondent group, per time from diagnosis, per disease and country. Results will be disseminated in peer-reviewed journals and at scientific conferences; a summary of results will be available on the WHO website. This study will suggest public health interventions and policy responses to support people affected by cancer and may also lead to subsequent research focusing on the needs of people affected by cancer.

European Medical Students' Views on Neurosurgery, with Emphasis on South-East Europe (Albania, Greece, Serbia, and Turkey)

Neurosurgery, an intricate and dynamic surgical specialty, faces challenges in attracting medical graduates. Despite its potential appeal, a decreasing trend in medical students opting for surgical specialties, including neurosurgery, is noted. This study aims to assess European medical students' perceptions of neurosurgery, focusing on South-East Europe, and address concerns about the declining interest in this field. A comprehensive digital survey, comprising 33 questions, was distributed to 1115 medical students across 17 European countries. The survey, conducted over 9 months, gathered responses through European neurosurgical societies, the European Association of Neurosurgical Societies (EANS), and university channels. Statistical analysis utilized IBM Statistical Package for the Social Sciences, presenting data through counts, proportions, and χ2 tests. The study reveals that, over the survey period, 834 medical students completed the questionnaire, with a predominant representation from South-East Europe. While 43.2% of participants were considering a surgical career, neurosurgery emerged as the most preferred specialty (26.37%). Despite this interest, 80.2% reported insufficient knowledge about pursuing a neurosurgical career, with limited exposure during medical education. Concerns about work-life balance, heavy workload, and hierarchical structures were prominent among respondents. The findings underscore the need for targeted interventions to address concerns influencing medical students' decisions regarding neurosurgery. Improving neurosurgical education, dispelling misconceptions, and creating a supportive work environment are crucial steps to attract and retain diverse talented individuals in neurosurgery. These efforts will be vital in narrowing the gap between the demand for neurosurgeons and the number of medical graduates entering the field, ensuring a sustainable future for this essential surgical specialty.

THE CATHEDRAL OF SAN MASSIMO IN FORCONA (AQ): ARCHAEOLOGICAL ANALYSIS AND INTEGRATED DIGITAL EXPERIENCES FOR VR EXPLORATION AND SITE ENHANCEMENT

Abstract. The contribution aims to present the results obtained from the archaeological analysis of the architecture of the Cathedral of San Massimo in Forcona (AQ), which took place in 2021, focusing on the digital systems used for the documentation and valorization of the monument. The work is part of a broader research project developed by the University of L'Aquila and focused on the archaeological study of medieval architecture as a function of the creation of a database on a chronological-typological basis of the masonry construction techniques of the city and its territory. The first structure to be analyzed was the Cathedral of San Massimo in Forcona, which, although it is located at a significant distance from the city center, represented a power pole of fundamental importance for the political-economic administration of the territory, at least until the construction of the city of L'Aquila. The documentation carried out through integrated TLS/SfM digital surveys and archaeological analysis allowed first to establish a chronological sequence of the construction phases of the church, but also to hypothesize through 3D reconstructions the historical evolution of the entire architectural complex. These reconstructions then became the digital support for the creation of a series of immersive VR systems aimed at providing experiences of interactive storytelling and dissemination of research outcomes.

A METHODOLOGICAL APPROACH FOR AN AUGMENTED HBIM EXPERIENCE THE ARCHITECTURAL THRESHOLDS OF THE MOSTRA D'OLTREMARE

Abstract. Digital survey and parametric-semantic modeling of historical or conventional building artifacts are becoming progressively more oriented toward HBIM (Heritage Building Information Modelling) to XR (Extended Reality) digital fruition projects. This encompasses a wide range of applications, from technical management to historical-scientific popularization of the architectural heritage. In this sense, the research explores the potential of BIM-to-XR virtualization systems concerning the systematization of historiographic documentation and interaction between different types of datasets for managing and disseminating the heritage. In particular, the research presents a prototypal experience conducted on Mostra d'Oltremare in Naples, Italy, a mid-20th-century exhibition center. In particular, the northwest access area had a rationalist layout, while the current configuration strongly differs from the monumental, exedra-shaped one built on a project by Arch. Stefania Filo Speziale, which was largely destroyed by World War II bombing. Thus, to document and facilitate the analysis of the original configurations, the original archival sources have been digitized and cataloged; moreover, reality-based integrated digital survey campaigns have been performed for the acquisition of metric-morphological data of the complex and the segmentation of the characteristic chromatic features of the residual decorative apparatuses. This has enabled the development of a BIM-oriented multi-scale information repository to enrich the real environment with digital content, thus creating an augmented reality experience. The latter has been introduced to create a virtual tool for querying and manipulating BIM databases, using the potential of visual programming languages and traditional scripts to create a two-way flow of data between BIM and AR.