P.190 Choosing Endovascular Treatment or Thrombolysis in Patients with Pre-stroke Comorbidities: UNMASK EVT, a Worldwide Survey

Background: Decisions to treat large-vessel occlusion with endovascular therapy(EVT) or intravenous alteplase depend on how physicians weigh benefits against risks when considering patients’ pre-stroke comorbidities. Methods: In an international survey, experts chose treatment approaches under current resources and under assumed ideal conditions for 10 of 22 randomly assigned case-scenarios. Five included comorbidities(metastatic/non-metastatic cancer, cardiac/respiratory/renal disease, non-disabling/mild cognitive impairment[MCI], physical dependence). We examined scenario/respondent characteristics associated with EVT/alteplase decisions using multivariable logistic regressions. Results: Among 607 physicians(38 countries), EVT was favoured in 1,097/1,379(79.6%) responses for comorbidity-related scenarios under current resources versus 1,510/1,657(91.1%,OR:0.38, 95%CI.0.31-0.47) for six “level-1A” scenarios (assuming ideal conditions:82.7% vs 95.1%,OR:0.25,0.19-0.33). However, this was reversed on including all other scenarios(e.g. under current resources:3,489/4,691[74.4%], OR:1.34,1.17-1.54). Responses favouring alteplase for comorbidity-related(e.g.75.0% under current resources) scenarios were comparable to level-1A scenarios(72.2%) and higher than all others(60.4%). No comorbidity-related factor independently diminished EVT-odds. MCI and dependence carried higher alteplase-odds; cancer and cardiac/respiratory/renal disease had lower odds. Relevant respondent characteristics included performing more EVT cases/year (higher EVT, lower alteplase-odds), practicing in East-Asia (higher EVT-odds), and in interventional neuroradiology(lower alteplase-odds vs neurology). Conclusions: Moderate-to-severe comorbidities did not consistently deter experts from EVT, suggesting equipoise about withholding EVT based on comorbidities. However, alteplase was often foregone when respondents chose EVT.

THE RELATIONSHIP OF RESPONDENT CHARACTERISTICS, KNOWLEDGE, ATTITUDES, AND OWNERSHIP OF LATRINES TOWARDS ITS LOW USE OF LATRINES IN GUNUNG ANYAR VILLAGE, SURABAYA CITY

ABSTRACTGunung Anyar Tambak village had the lowest access to latrines. Some residents defecate in rivers or other places. The study was conducted to determine a relationship of factors and low use of latrines in Gunung Anyar Tambak village. It was observational research with a cross sectional design. Samples were selected from the population through simple random sampling. Guided interviews were conducted to 75 respondents in RW 01 Gunung Anyar Tambak village. The research variables were respondent characteristics (education level and income level), knowledge, attitudes, and latrine ownership. Data analysis was done using the Chi-square test with a degree of confidence at 95%. The results showed a significant relationship between respondent characteristics including education level (p = 0.000), income level (p = 0.000), knowledge (p = 0.006), attitude (p = 0.003), and latrine ownership (p = 0.000) on low use of latrines. The variable with the strongest relationship was latrine ownership. Keywords: education, income, knowledge, attitude, latrine ownership

The Danish Health and Wellbeing Survey: Study design, response proportion and respondent characteristics

Aims: This study aimed to describe the study design and respondent characteristics (including non-response analyses) of the Danish Health and Wellbeing Surveys in 2015 and 2019 and a follow-up survey that was carried out during the COVID-19 pandemic in 2020. Methods: The Danish Health and Wellbeing Survey is the Danish part of the European Health Interview Survey (EHIS). The samples in 2015 ( N=12,000) and 2019 ( N=14,000) were both based on a simple random selection of individuals aged ⩾15 years from the Danish Civil Registration System. All individuals from the sample in 2019 who were still alive and living in Denmark were reinvited for a follow-up survey in 2020 ( N=13,474). Data in all surveys were collected via self-administered questionnaires (web or paper based). The questionnaires in 2015 and 2019 included the EHIS model questionnaire as well as national questions, whereas the questionnaire in 2020 mainly focused on physical and mental health, employment and working lives, and health behaviour. Results: The overall response proportion declined slightly between 2015 (48.4%) and 2019 (47.4%) but went up to 49.8% in the follow-up survey in 2020. Unit non-response was associated with, for example, male sex, younger age, being unmarried and lower educational level but not with degree of urbanisation. In all, 5000 individuals completed the questionnaire in both 2019 and 2020. Conclusions: The results are in line with most previous research on non-response in health surveys. However, an association between degree of urbanisation and non-response has been suggested in previous studies. This association was not found in our study.

The INSPIRE Population Survey: development, dissemination and respondent characteristics

Background Most older adults prefer to continue living at home despite increasing care needs and demand for services. To aid in maintaining independence, integrated care models for community-dwelling older people are promoted as the most cost-effective approach. The implementation of such care models is challenging and often the end-users are not involved or their needs are not considered. We conducted a population survey in order to understand the needs and preferences of home-dwelling older adults living in Canton Basel-Landschaft, Switzerland. The aims of this paper are to chronicle the development of the INSPIRE Population Survey, outline its variables and measurements, describe the marketing strategy utilized for survey dissemination and report on the response rate and respondent characteristics. Methods The INSPIRE Population Survey, conducted between March and August 2019, is a cross-sectional survey of older adults aged 75 and older living at home in Canton Basel-Landschaft. The questionnaire was developed by expert input and stakeholder involvement. Its readability and acceptability were pilot-tested with older people. To ensure the likelihood of a high and representative response rate, a meticulous step-by-step marketing strategy was developed prior to the dissemination of the questionnaire. Results The overall response rate was 30.7% (n = 8,846), with variations between 20.6 and 34.5% across the different care regions in the canton. A generally higher response rate was found in the care regions with a higher density and which bordered the urban city of Basel. We received support from local stakeholders, policy makers and media through using a broad combination of marketing channels and targeting our community partners who have a strong relationship with our target audience. Conclusions Although recruiting older adults in research is challenging, our study shows that a high response rate can be achieved by developing the survey through expert input and by involving all important stakeholders, including older adults, throughout the entire process.

Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behavior

Combining surveys and digital trace data can enhance the analytic potential of both data types. We present two studies on factors influencing data sharing behavior for different types of digital trace data: Facebook, Twitter, Spotify, and health app data. Across those data types, we compare the relative impact of five factors on data sharing: data type, data sharing method, respondent characteristics, sample composition, and incentives. The results show large differences between the data types and sharing methods, especially related to task difficulty and respondent burden. Higher incentives generally increase data sharing rates, whereas the influence of respondent characteristics depends on the respective data types.

News from Artificial Intelligence is Believed Less

Artificial Intelligence (AI) algorithms are now able to produce text virtually indistinguishable from text written by humans across a variety of domains. A key question, then, is whether people believe content from AI as much as content from humans. Trust in the (human generated) news media has been decreasing over time and AI is viewed as lacking human desires, and emotions, suggesting that AI news may be viewed as more accurate. Contrary to this, two preregistered experiments conducted on representative U.S. samples (combined N = 4,034) showed that people rated news produced by AI as being less accurate than news produced by humans. When news items were tagged as produced by AI (compared to a human), people were more likely to incorrectly rate them as inaccurate when they were actually true, and more likely to correctly rate them as inaccurate when they were indeed false. These results were robust to experimental paradigm (separate and joint evaluations), news item (actual veracity, age), and several respondent characteristics (e.g., political orientation). This effect is particularly important given the increasing use of AI algorithms in news production, and the associated ethical and governance pressures to disclose their use.

Patterns of using analgesics for menstrual pain in female students Sriwijaya University Faculty of Medicine

Dysmenorrhea is a condition than women often feel on their productive age and disrupttheir daily activity. A study that was condone in Palembang finds that 93,8% SMA femalestudent had dysmenorrhea. A study in India finds 42% in 654 respondent decided to healtheir dysmenorrhea without visiting physician and 35% is using wrong medications.Analgetics as pain reliever sold freely in markets. Dysmenorrhea effects life quality andeducations for the easiness in obtaining the medicine in markets, making the researchabout analgetics usage patterns in Faculty of Medicine, Srwijaya University 2016-2019students. The design of this study was cross-sectional descriptive observational on 25Desember 2019 until 6 Januari 2020. The population of this study is FK Unsri (2016-2019) students with 628 respondent. The respondent characteristics is found by usingquestionnaire. Dysmenorrhea prevalence on FK UNSRI student is 88%. Dysmenorrheaprevalence that distrupt activity is 64,7%. FK UNSRI student (2016-2019) that usedmefenamic acid is 48,3%, paracetamol is 33,8% and ibuprofen is 6,2% for theirdysmenorrhea.. FK UNSRI student (2016-2019) that consumed analgetics once per day is80,6%. FK UNSRI student (2016-2019) that picked tablet is 97,9%. FK UNSRI student(2016-2019) that chose to used it for a day is 76,5%. The analgetics that is mostly chosenfor FK UNSRI (2016-2019) students is mefenamic acid, tablet that was consumed once perday for a day.

Investigating Response Patterns Across Surveys: Do Respondents Show Consistency in Undesirable Answer Behaviour over Multiple Surveys?

The relation between answer behaviour and measurement error has been studied extensively. Answer behaviour may be considered undesirable, like answering ‘don’t know’ or ‘won’t tell’. It is not clear to what degree undesirable answer behaviour from the same respondents is present across different surveys. In this study, we investigated to what extent respondents show undesirable answer behaviours consistently over multiple surveys. First, we investigated to what extent the answer behaviours occurred in ten large general population surveys of CentERdata and Statistics Netherlands. Second, we explored the respondent variances and respondent-survey interaction variances to obtain an indication for respondent consistency for each answer behaviour. The results showed that respondents only occasionally give ‘don’t know’– and ‘won’t tell’-answers. An indication for respondent consistency was found for fast responding, slow responding, and ‘won’t tell’-answers in particular. We recommend follow-up research to investigate the relation between respondent characteristics and consistent answer behaviour.