[Recommendations for ethical decision making regarding hospital visitation during the COVID-19 pandemic].
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ABSTRACT:
SUBMITTER: Rogge A
PROVIDER: S-EPMC8033547 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:PurposeTo describe youth sport participation behaviors during the COVID-19 pandemic as reported by parents of youth sport athletes, to examine the association of family demographics with the likelihood of children resuming sports, and to qualitatively report the factors influencing parental decision-making regarding youth sport participation during the COVID-19 pandemic.MethodsA national sample of parents of youth athletes from across the United States (n=236, age: 39.2±8.1 years, 57.2% female) were recruited to complete an online questionnaire by Qualtrics Online Samples (Qualtrics, Provo, UT) using a combination of actively managed, double-opt-in market research panels. The questionnaire focused on changes in child sport participation and family finances as a result of COVID-19 and included both close-ended and open-ended questions.ResultsMost parents (63.1%) reported the time their children spent participating in organized youth sports had decreased because of the COVID-19 pandemic. Three-quarters of parents (75.5%) reported that it was likely that their children would fully resume participating in organized youth sports within the next year. Parents whose financial situation was worsened by COVID-19 were less likely to report that their children would resume sports in the upcoming year. Three domains related to parental decision-making emerged from the open-ended responses: safety, fear, and normalcy.ConclusionsUnderstanding the factors influencing changes in youth sport participation during the pandemic can allow systems to implement strategies for safe participation in youth sport and physical activity among children. Encouraging participation in outdoor sports with appropriate safety precautions such as masking, social distancing, and hygiene may reduce fear of participation among parents.
| S-EPMC9112262 | biostudies-literature
Project description:Human behavioural changes are poorly understood, and this limitation has been a serious obstacle to epidemic forecasting. It is generally understood that people change their respective behaviours to reduce the risk of infection in response to the status of an epidemic or government interventions. We must first identify the factors that lead to such decision-making to predict these changes. However, due to an absence of a method to observe decision-making for future behaviour, understanding the behavioural responses to disease is limited. Here, we show that accommodation reservation data could reveal the decision-making process that underpins behavioural changes, travel avoidance, for reducing the risk of COVID-19 infections. We found that the motivation to avoid travel with respect to only short-term future behaviours dynamically varied and was associated with the outbreak status and/or the interventions of the government. Our developed method can quantitatively measure and predict a large-scale population's behaviour to determine the future risk of COVID-19 infections. These findings enable us to better understand behavioural changes in response to disease spread, and thus, contribute to the development of reliable long-term forecasting of disease spread.
| S-EPMC9671889 | biostudies-literature
Project description:The COVID-19 pandemic has posed novel risks related to the indoor mixing of individuals from different households and challenged policymakers to adequately regulate this behaviour. While in many cases household visits are necessary for the purpose of social care, they have been linked to broadening community transmission of the virus. In this study we propose a novel, privacy-preserving framework for the measurement of household visitation at national and regional scales, making use of passively collected mobility data. We implement this approach in England from January 2020 to May 2021. The measures expose significant spatial and temporal variation in household visitation patterns, impacted by both national and regional lockdown policies, and the rollout of the vaccination programme. The findings point to complex social processes unfolding differently over space and time, likely informed by variations in policy adherence, vaccine relaxation, and regional interventions.
| S-EPMC8617191 | biostudies-literature
Project description:In March 2020, our institution developed an interdisciplinary predictive analytics task force to provide coronavirus disease 2019 (COVID-19) hospital census forecasting to help clinical leaders understand the potential impacts on hospital operations. As the situation unfolded into a pandemic, our task force provided predictive insights through a structured set of visualizations and key messages that have helped the practice to anticipate and react to changing operational needs and opportunities. The framework shared here for the deployment of a COVID-19 predictive analytics task force could be adapted for effective implementation at other institutions to provide evidence-based messaging for operational decision-making. For hospitals without such a structure, immediate consideration may be warranted in light of the devastating COVID-19 third-wave which has arrived for winter 2020-2021.
| S-EPMC7833949 | biostudies-literature
Project description:Policy decision-making for system resilience to a hazard requires the estimation and prediction of the trends of growth and decline of the impacts of the hazard. With focus on the recent worldwide spread of CoVid-19, we take the infection rate as the relevant metric whose trend of evolution to follow for verifying the effectiveness of the countermeasures applied. By comparison with the theories of growth and recovery in coupled socio-medical systems, we find that the data for many countries show infection rate trends that are exponential in form. In particular, the recovery trajectory is universal in trend and consistent with the learning theory, which allows for predictions useful in the assistance of decision-making of emergency recovery actions. The findings are validated by extensive data and comparison to medical pandemic models.
| S-EPMC7407614 | biostudies-literature
Project description:Background:The number of cases from the coronavirus disease 2019 (COVID-19) global pandemic has overwhelmed existing medical facilities and forced clinicians, patients, and families to make pivotal decisions with limited time and information. Main body:While machine learning (ML) methods have been previously used to augment clinical decisions, there is now a demand for "Emergency ML." Throughout the patient care pathway, there are opportunities for ML-supported decisions based on collected vitals, laboratory results, medication orders, and comorbidities. With rapidly growing datasets, there also remain important considerations when developing and validating ML models. Conclusion:This perspective highlights the utility of evidence-based prediction tools in a number of clinical settings, and how similar models can be deployed during the COVID-19 pandemic to guide hospital frontlines and healthcare administrators to make informed decisions about patient care and managing hospital volume.
| S-EPMC7347420 | biostudies-literature
Project description:Pregnant women are considered to be a population vulnerable to influenza and COVID-19 infections, and the latest guidelines consistently recommend that they receive influenza and COVID-19 vaccinations. A cross-sectional questionnaire-based study was conducted among pregnant women in Poland to determine which factors have the greatest impact on their decision to vaccinate against influenza and COVID-19. A total of 515 pregnant women participated in the study. Among them, 38.4% (n = 198) demonstrated a positive attitude toward influenza vaccination, and 64.3% (n = 331) demonstrated a positive attitude toward COVID-19 vaccination. Logistic regression analysis revealed that the strongest influence on positive attitudes toward COVID-19 vaccination is having it recommended by an obstetrician-gynecologist (OR = 2.439, p = 0.025). The obstetrician-gynecologist's recommendation to vaccinate against influenza also significantly influences the decision to vaccinate (OR = 5.323). The study results also show a strong correlation between the obstetrician-gynecologist as a source of information on influenza and vaccination and participants' positive attitudes toward vaccination (OR = 4.163). Obstetricians have a significant influence on pregnant women's decisions regarding vaccinations. Further recommendations to vaccinate and awareness-raising among obstetricians may be needed to increase the vaccination rate of pregnant women in Poland.
| S-EPMC10610802 | biostudies-literature
Project description:BackgroundCOVID-19 vaccines are now available under Emergency Use Authorization for children ages 6 months to 5 years. We examined parents' intentions to vaccinate their children under the age of 5 years and assessed whether their confidence in making an informed decision about vaccination (decision self-efficacy) was associated with these intentions.MethodWe conducted a cross-sectional online survey of U.S. parents between 23 March and 5 April 2022. We examined associations between parental intention to vaccinate their young children (<age 5 years) and confidence in vaccine decision making (decision self-efficacy). A multivariable multinomial logistic regression model was used to obtain adjusted odds ratios (AORs) and 95% confidence intervals (CIs) of parental intention (categorized as intend to vaccinate, unsure, or do not intend to vaccinate).ResultsOf the 591 parents in this sample, 49% indicated that they intended to vaccinate their child(ren), 29% reported that they would not, and 21% were undecided. In bivariate analyses, race/ethnicity, health insurance, flu vaccination in the past 12 months, and parental COVID-19 vaccination status were significantly related to parental intention to vaccinate their child(ren). In the multivariable analyses, which controlled for these factors, parents who intended to vaccinate their child(ren) had greater confidence in their ability to make informed decisions about COVID-19 vaccinations compared to those who were unsure about vaccination. Each one standard deviation in the Decision Self-Efficacy score was associated with a 39% increase in intention to vaccinate one's child versus being unsure about vaccination (AOR 1.39, 95% CI 1.09, 1.77).ConclusionsParents who are unsure about vaccinating their children against COVID-19 may benefit from interventions designed to increase their ability to obtain, understand, and utilize information to make informed decisions.
| S-EPMC9959902 | biostudies-literature
Project description:Given that individual differences influence virus-mitigating behaviors and the COVID-19 pandemic posed new moral dilemmas for individuals to resolve, across three studies (N = 704), we assessed how masculine honor beliefs (MHB), beliefs in pure good (BPG), evil (BPE), and the dark triad (DT) influence COVID-19 moral decision-making. Specifically, we analyzed moral decision-making at the microlevel (i.e., individual- and familial-level; Study 1), in decisions with (hypothetical) life-or-death consequences (Study 2), and at the macrolevel (i.e., nationwide virus-mitigation efforts; Study 3). In all studies, participants completed the four individual difference scales and rated their pandemic attitudes on Likert-type agreement scales, and resolved various moral dilemmas in Studies 2 and 3. Consistent with our hypotheses, individuals reported more virus-mitigation efforts in order to protect their families than themselves. In terms of hypothetical life-or-death and nationwide decisions, MHB, BPE, and the DT predicted more confidence and social motivations, whereas BPG predicted more distress. This research has implications for moral decision-making at varying degrees of severity during the COVID-19 pandemic.
| S-EPMC7847405 | biostudies-literature
Project description:The Corona virus pandemic rendered most live education this spring term impossible. Other formats and new ideas were needed to offer students the opportunity to learn unchanged learning content and outcomes. To replace our module on ethics and ethical decision making in emergency medicine with simulation patients we developed an e-learning module consisting of a case, trigger questions and literature for self-study. This was followed by a Microsoft Teams seminar in which the students discussed their questions in subgroups on the basis of their reading and developed a team product they then presented to the other team. Students valued this module as enabling a safe space for their beliefs and views. A vast majority deemed the topics as relevant, two thirds would retake the seminar. Despite a productive online discourse, this format should not be used as sole module under normal conditions since it lacks the (simulation) patient interaction but it can prove to be a valuable addendum to live teaching.
| S-EPMC7740007 | biostudies-literature