Actuaries can analyze healthcare trends to determine if rates are reasonable and if reserves are adequate. In this talk, we will provide a framework of methods to analyze the healthcare trend during the pandemic. COVID-19 may influence future healthcare cost trends in many ways. First, direct COVID-19 costs may increase the amount of total experienced healthcare costs. However, with the implementation of social distancing, the amount of regularly scheduled care may be deferred to a future date. There are also many unknown factors regarding the transmission of the virus. Implementing epidemiology models allows us to predict infections by studying the dynamics of the disease. The correlation between infection amounts and hospitalization occupancies provide a methodology to estimate the amount of deferred and recouped amounts of regularly scheduled healthcare costs. Thus, the combination of the models allows to model the healthcare cost trend impact due to COVID-19.

Due to the Covid-19 pandemic, healthcare professionals including occupational therapy practitioners (OTPs) were required to transition to working utilizing an online-service delivery model called telehealth. The use of telehealth for occupational therapy (OT) sessions was limited prior to the pandemic, and this shift required OTPs to provide services in ways many had never experienced. The purpose of this study was to identify how the transition to telehealth impacted OTPs and their ability to provide proper care to the pediatric population via telehealth. The final analytic sample included 32 female OTPs who worked with the pediatric population. Results from qualitative and quantitative analyses showed that OTPs had positive feelings toward using telehealth and that the telehealth modality had a moderate impact on their job performance. The areas that pediatric OTPs want to be addressed included technology and internet issues, lack of parent involvement, decreased quality of care, inaccessibility of materials, decreased attention span and increased distractions, and lack of general knowledge about telehealth among clients, parents, and professionals. Despite these drawbacks, a positive theme emerged that the telehealth model is good for current circumstances. The results show telehealth is a positive experience for OTPs and allows OT to be more accessible to their clients. Implications for increasing education for healthcare professionals, clients, and parents/guardians to make telehealth accessible to clients on a large scale are discussed.

The present study explored the relationship between desired purchasing behavior and individual differences using two nationally-representative, longitudinal samples of the U.S. population early in the COVID-19 pandemic. Past research has shown that individual differences provide information about how one might respond to threat. Therefore, we predicted changes in desired purchasing behavior across different sociodemographic variables that might reflect those differences. Specifically, we investigated hypotheses related to political orientation, age, sexual orientation, socioeconomic status, and whether or not the participant had children. We measured participants’ reported desired purchasing behavior across eleven categories of goods and investigated the connection between specific demographic variables and desired purchasing behavior. We found that conservatives desired to purchase more basic protection goods (guns/ammunition, cash, gas) and that older people desired to purchase more cleaning supplies and toiletries. These findings illustrate possible explanations for purchasing behavior during the COVID-19 pandemic and reveal directions for marketing designed to influence purchasing behavior.

This study looked at student’s perceptions of COVID-19 and differences in how universities handled COVID-19. It aimed to assess what measures made students feel safe and were the most effective in lessening spread. A risk-perception survey scored feelings of safety/risk, and semi-structured interviews provided context. Descriptive statistics and thematic analysis showed mixed opinions on university measures, and interviews identified wearing masks, social distancing, isolating, and limiting social contacts as measures that were effective in curbing spread.

In the past year, considerable misinformation about the COVID-19 pandemic has circulated on social media platforms. Faced with this pervasive issue, it is important to identify the extent to which people are able to spot misinformation on social media and ways to improve people’s accuracy in spotting misinformation. Therefore, the current study aims to investigate people’s accuracy in spotting misinformation, the effectiveness of a game-based intervention, and the role of political affiliation in spotting misinformation. In this study, 235 participants played a misinformation game in which they evaluated COVID-19-related tweets and indicated whether or not they thought each of the tweets contained misinformation. Misinformation accuracy was measured using game scores, which were based on the correct identification of misinformation. Findings revealed that participants’ beliefs about how accurate they are at spotting misinformation about COVID-19 did not predict their actual accuracy. Participants’ accuracy improved after playing the game, but democrats were more likely to improve than republicans.