Enhancing Participation in Probability-Based Online Panels: Two Incentive Experiments and Their Effects on Response and Panel Recruitment

This article investigates how mail-based online panel recruitment can be facilitated through incentives. The analysis relies on two incentive experiments and their effects on panel recruitment, and the intermediate participation in the recruitment survey. The experiments were implemented in the context of the German Emigration and Remigration Panel Study and encompass two samples of randomly sampled persons. Tested incentives include a conditional lottery, conditional monetary incentives, and the combination of unconditional money-in-hand with conditional monetary incentives. For an encompassing evaluation of the link between incentives and panel recruitment, the article further assesses the incentives’ implications for demographic composition and panel recruitment unit costs. Multivariate analysis indicates that low combined incentives (€5/€5) or, where unconditional disbursement is unfeasible, high conditional incentives (€20) are most effective in enhancing panel participation. In terms of demographic bias, low combined incentives (€5/€5) and €10 conditional incentives are the favored options. The budget options from the perspective of panel recruitment include the lottery and the €10 conditional incentive which break-even at net sample sizes of 1000.

‘Old Townism’: A Generational Discord

The heritage space of Old Town Mombasa is undergoing social evolution in terms of the demographic composition and the changing desires of the varying generations. The study sought to measure the perceived correlation between motorised transport, the veritable exemplification of misconstrued development, and conservation efforts within the Old Town heritage space. The qualitative analysis indicates that the top-down approach and limited economic development over time have left the younger generation of local residents lacking a sense of ownership and disparity with conservation objectives. The study recommends social re-engineering that will capture the ideologies of ‘Old Townism’ and create a beneficial sense of belonging.

Association of Race, Ethnicity, Age and Socioeconomic Status with Access to Virtual Visits within the Brigham & Women's Hospital Division of Hematology during the COVID-19 Pandemic

Background: The COVID-19 pandemic prompted an expedited shift towards expanding telemedicine services. Historically, telemedicine has been shown to increase healthcare access for those in rural communities but widen care gaps for other vulnerable populations by exacerbating existing digital divides and clinician biases in offering telemedicine services. The purpose of this study is to understand the demographic and socioeconomic characteristics of patients completing telephone, video, and in-person visits at the Brigham and Women's Hospital Division of Hematology (BWH DOH) during the COVID-19 pandemic. Methods: This was a retrospective chart review of patients who completed clinical encounters within the BWH DOH between March 19, 2020, when the division switched to virtual visits, and December 31 st, 2020 (pandemic). Patients who completed visits between January 1, 2019 and March 18, 2020 (pre-pandemic) served as a comparator group. Differences in socio-demographic composition of patients completing telephone only (TO), video only (VO), or a mix of in-person and telemedicine visits (IPTM) were tested for significance using Kruskal-Wallis and Chi-square tests. Results: A total of 8307 pre-pandemic visits and 5910 pandemic visits were included in analysis. Almost all visits (99.8%) were in-person pre-pandemic compared to 32.4% in-person, 42.6% by telephone, and 25% by video during pandemic. Median age was significantly different between patients who had only pre-pandemic visits, only pandemic visits, and both (55 vs 52 vs 58 years; p=0.003). Otherwise, there was no significant difference in racial and median income distributions pre-pandemic to pandemic. Table 1 shows the socio-demographic characteristics of patients who completed TO (1536), VO (1065), or IPTM (1518) visits during the pandemic. VO patients were significantly younger than TO and IPTM patients (p<0.001). The majority of patients identified as White (61.3%) with Black and Hispanic patients accounting for 13.8% and 11.4% of the pandemic population, respectively. A higher proportion of White patients had VO visits (29.9%) compared to Black (15.2%) and Hispanic patients (13%) who both had a higher proportion of TO visits (34.7% vs 40.4% vs 50.9%, p<0.001). More patients with a college (29.9%) or post-graduate (34.3%) degree had VO visits than patients with a high school (16.3%) or other levels of education (21.5%) who were more likely to have TO visits (p<0.001). Median household incomes approximated from patient zip codes were significantly higher in patients with VO visits than those with TO or IPTM visits (p<0.001). Discussion: This study shows that during the COVID-19 pandemic, there were significant differences in the socio-demographic composition of patients completing VO versus TO versus IPTM visits within the BWH DOH. Overall, individuals from groups that historically experience health inequities in the United States including the elderly, African Americans, Hispanics, and those with lower educational levels and socioeconomic status had fewer VO visits and more TO visits compared to patients who were younger, White, and had higher levels of education and socioeconomic status. These differences have important implications as VO visits may offer better clinical interaction when compared to TO visits. The younger age of patients seen during the pandemic compared to pre-pandemic suggests that some older adults lost access to hematology care altogether during the pandemic. This disparity pre-pandemic to pandemic was not observed in other demographic subsets. Our work reveals a need to focus on digital inclusion efforts centered around device access, internet access, and digital literacy. Additionally, while TO and VO visits are temporarily equally reimbursed as in person visits under the U.S government's COVID emergency declaration, there has already been a return to markedly lower reimbursement for TO visits. Many practices and hospital system have lost significant revenue due to the pandemic and this differential reimbursement may disincentivize providing care through TO, even if that is the patient's only means of access. This could pose as a further barrier to telemedicine access for individuals from vulnerable populations and exacerbate structural racism, ageism, and other inequities. Care must be taken moving forward that actions to cope with the pandemic or modernize health care serve all patients. Figure 1 Figure 1. Disclosures Neuberg: Pharmacyclics: Research Funding; Madrigal Pharmaceuticals: Other: Stock ownership. Achebe: Fulcrum Therapeutics: Consultancy; Pharmacosmos: Membership on an entity's Board of Directors or advisory committees; Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees.

The relationship between quotas and harvest in the alpine reindeer population on Hardangervidda, Norway

Hunting of cervids is commonly regulated by quotas that are specific to sex and age groups. There is substantial cultural variation in how quotas are regulated. In Scandinavia, the entire quotas are often not shot making deer management potentially less predictable. However, the effect of quota size and demographic composition on harvest offtake by recreational hunters has, to a limited extent, been empirically investigated in Scandinavia. Hunters are limited by time and opportunity and may not respond to changes in quota, as anticipated by managers. We analysed the variation in the proportion of quotas filled depending on quota size relative to population size and demographic composition of quotas during the period of 1986–2019 involving a population size varying from approximately 5000 to 15,000 reindeer on Hardangervidda, Norway. We found that the proportion of quota being filled by hunters varied substantially (12–48%) on an annual basis. The quota occasionally exceeded the estimated population size, but the proportion of the quota filled increased the higher the population size was relative to the quota size. The proportion of quota being filled by hunters was markedly lower for calf licences. High annual variation in the proportion of quota being filled by hunters causes considerable implementation uncertainty when managers aim to regulate cervid populations. Nevertheless, there was a strong correlation between quota size and harvest size. Facing new management requirements, a harvest rate of ~ 47% of the adult male population size was achieved in 2019, compared to an average of 16%. Hence, managers compensated for the low proportion of quota being filled by increasing quotas to reach target harvesting aims, but there remains a limit as to how precisely such a wide-ranging reindeer population can be regulated using recreational hunters.

Can citizens guess how other citizens voted based on demographic characteristics?

How well do citizens understand the associations between social groups and political divisions in their societies? Previous research has indicated systematic biases in how the demographic composition of party supporters are perceived, but this need not imply that citizens misperceive the likely voting behavior of specific individuals. We report results from two experiments where subjects were provided with randomly selected demographic profiles of respondents to the 2017 British Election Study (BES) and then asked to assess either (1) which party that individual was likely to have voted for in the 2017 UK election or (2) whether that individual was likely to have voted Leave or Remain in the 2016 UK referendum on EU membership. We find that, despite substantial overconfidence in individual responses, on average citizens’ guesses broadly reflect the actual distribution of groups supporting the parties and referendum positions.

The COVID-19 Pandemic and Mental Health Concerns on Twitter in the United States

BackgroundMental health illness is a growing problem in recent years. During the COVID-19 pandemic, mental health concerns (such as fear and loneliness) have been actively discussed on social media.ObjectiveIn this study, we aim to examine mental health discussions on Twitter during the COVID-19 pandemic in the United States and infer the demographic composition of Twitter users who had mental health concerns.MethodsCOVID-19 related tweets from March 5th, 2020 to January 31st, 2021 were collected through Twitter streaming API using COVID-19 related keywords (e.g., “corona”, “covid19”, “covid”). By further filtering using mental health keywords (e.g., “depress”, “failure”, “hopeless”), we extracted mental health-related tweets from the US. Topic modeling using the Latent Dirichlet Allocation model was conducted to monitor users’ discussions surrounding mental health concerns. Demographic inference using deep learning algorithms (including Face++ and Ethnicolr) was performed to infer the demographic composition of Twitter users who had mental health concerns during the COVID-19 pandemic.ResultsWe observed a positive correlation between mental health concerns on Twitter and the COVID-19 pandemic in the US. Topic modeling showed that “stay-at-home”, “death poll” and “politics and policy” were the most popular topics in COVID-19 mental health tweets. Among Twitter users who had mental health concerns during the pandemic, Males, White, and 30-49 age group people were more likely to express mental health concerns. In addition, Twitter users from the east and west coast had more mental health concerns.ConclusionsThe COVID-19 pandemic has a significant impact on mental health concerns on Twitter in the US. Certain groups of people (such as Males, White) were more likely to have mental health concerns during the COVID-19 pandemic.

Stable Mobilities and Mobile Stabilities in Rural Estonian Communities

By analyzing the relations of communities and places in sparsely located rural areas, this article argues that rural community is not a stable unity tied to a place, but a phenomenon closely tied to its members’ connections to the interdependent concept of urban/rural, especially in terms of their mobility practices. In this study, the new mobilities paradigm was applied to reveal how everyday relational and routine aspects connected to material, structural, socio-cultural and economic conditioning dynamically intertwine to form a rural community. The analysis is based on three regional case studies in Estonian sparsely populated areas, which are diverse in terms of geographical location, demographic composition, type of settlement, history, and welfare conditions. By using qualitative in-depth interviews with people (N=60) who were involved with the locations, the article analyses everyday mobilities in these communities, especially in terms of interrelatedness to structural, social and material factors. The study has brought out interrelated themes that are connected to the use of rural representations in terms of individual and social self-reflection, the importance of social and material infrastructures, and the dynamics of these borders in communities and shaping community relations.

Systemic Discrimination in Policing: Four Key Factors to Address

Canada’s demographic landscape is comprised of a breadth of cultures and religious beliefs, racialized groups, Indigenous persons, and genders and sexual orientations. In contrast, the demographic composition of many police services in Canada does not reflect the communities they serve. While efforts of police services across Canada to diversify have led to a proliferation of racial minorities, women, and Indigenous persons gaining employment within police organizations, serious obstacles of exclusion, racism, and discrimination remain. This paper will critically analyze four factors that accentuate and contribute to systemic discrimination in policing and provide recommendations to identify, mitigate, and address this issue.

Enhancing Participation in Probability-Based Online Panels: Two Incentive Experiments and their Effects on Response and Panel Recruitment

This article investigates how mail based online panel recruitment can be facilitated through incentives. The analysis relies on two incentive experiments and their effects on panel recruitment and the intermediate participation in the recruitment survey. The experiments were implemented in the context of the German Emigration and Remigration Panel Study and encompass two samples of randomly sampled persons. Tested incentives include a conditional lottery, conditional monetary incentives, and the combination of unconditional money-in-hand with conditional monetary incentives. For an encompassing evaluation of the link between incentives and panel recruitment, the article further assesses the incentives’ implications for demographic composition and panel recruitment unit costs. Multivariate analysis indicates that low combined incentives (€5/€5) or, where unconditional disbursement is unfeasible, high conditional incentives (€20) are most effective in enhancing panel participation. In terms of demographic bias, low combined incentives (€5/€5) and €10 conditional incentives are the favored options. The budget options from the perspective of panel recruitment include the lottery and the €10 conditional incentive which break even at net sample sizes of 1,000.