Economic anxiety among contingent survey workers.
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ABSTRACT: Supplementary information
The online version contains supplementary material available at 10.1007/s12144-021-02535-4.
SUBMITTER: Condon M
PROVIDER: S-EPMC8736285 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundA greater emphasis on providing high-value orthopaedic interventions has resulted in increased health economic reporting. The contingent-valuation method (CVM) is used to determine consumer valuation of the benefits provided by healthcare interventions. CVM is an important value-based health economic tool that is underutilized in orthopaedic surgery.Questions/purposesThe purpose of this study was to (1) identify previously published CVM studies in the orthopaedic literature, (2) assess the methodologies used for CVM research, and (3) understand how CVM has been used in the orthopaedic cost-benefit analysis framework.MethodsA systematic review of the literature using the MEDLINE database was performed to compile CVM studies. Search terms incorporated the phrase willingness to pay (WTP) or willingness to accept (WTA) in combination with orthopaedic clinical key terms. Study methodology was appraised using previously defined empirical and conceptual criteria for CVM studies.ResultsOf the 160 studies retrieved, 22 (13.8%) met our inclusion criteria. The economics of joint arthroplasty (n?=?6, 27.3%) and non-operative osteoarthritis care (n?=?4, 18.2%) were the most common topics. Most studies used CVM for pricing and/or demand forecasting (n?=?16, 72.7%); very few studies used CVM for program evaluation (n?=?6). WTP was used in all included studies, and one study used both WTP and WTA. Otherwise, there was little consistency among included studies in terms of CVM methodology. Open-ended questioning was used by only ten studies (45.5%), a significant number of studies did not perform a sensitivity analysis (n?=?9, 40.9%), and none of the studies accounted for the risk preference of subjects. Only two of the included studies applied CVM within a cost-benefit analysis framework.ConclusionCVM is not commonly reported in orthopaedic surgery and is seldom used in the context of cost-benefit analysis. There is wide variability in the methods used to perform CVM. We propose that CVM is an appropriate and underappreciated method for understanding the value of orthopaedic interventions. Increased attention should be paid to consumer valuations for orthopaedic interventions.
| S-EPMC6148581 | biostudies-literature
Project description:ObjectiveWe aimed to explore anxiety status across a broad range of HCWs supporting patients with COVID-19 in different global regions.MethodThis was an international online survey in which participation was on voluntary basis and data were submitted via Google Drive, across a two-week period starting from March 18, 2020. The Beck Anxiety Inventory was used to quantify the level of anxiety.Results1416 HCWs (70.8% medical doctors, 26.2% nurses) responded to the survey from 75 countries. The distribution of anxiety levels was: normal/minimal (n = 503, 35.5%), low (n = 390, 27.5%); moderate (n = 287, 20.3%), and severe (n = 236, 16.7%). According to multiple generalized linear model, female gender (p = 0.001), occupation (ie, being a nurse dealing directly with patients with COVID-19 [p = 0.017]), being younger (p = 0.001), reporting inadequate knowledge on COVID-19 (p = 0.005), having insufficient personal protective equipment (p = 0.001) and poor access to hand sanitizers or liquid soaps (p = 0.008), coexisting chronic disorders (p = 0.001) and existing mental health problems (p = 0.001), and higher income of countries where HCWs lived (p = 0.048) were significantly associated with increased anxiety.ConclusionsFront-line HCWs, regardless of the levels of COVID-19 transmission in their country, are anxious when they do not feel protected. Our findings suggest that anxiety could be mitigated ensuring sufficient levels of protective personal equipment alongside greater education and information.
| S-EPMC7749993 | biostudies-literature
Project description:Despite the positive aspects of recent technological innovations, fears are mounting among workers that machines will inevitably replace most human jobs in the future. This study is the first to explore the association between individual-level automation anxiety and insomnia among workers. We scored the worker's anxiety over technological automation with five questions. The total sum of scores for participants was categorized in quartiles (Q1-Q4). Logistic regression was employed to estimate odds ratios (ORs) and confidence intervals (CIs). The highest scoring group (Q4) had the highest OR for sleep disturbance (OR [95% CI]:1.40 [1.27-1.55]) compared to the lowest scoring group (Q1). ORs of the highest scoring group (Q4) were strongest for the young (OR [95% CI]:1.96 [1.52-2.53]), followed by the middle-aged (OR [95% CI]:1.40 [1.20-1.64]), and old age groups (OR [95% CI]:1.29 [1.10-1.51]). In addition, a 1-point increase in the automation anxiety score had the strongest association with sleep disturbance in the young (OR [95% CI]:1.07 [1.05-1.10]), followed by the middle-aged (OR [95% CI]:1.03 [1.02-1.04]), and old age groups (OR [95% CI]:1.02 [1.01-1.04]). Our study suggests that policies such as worker retraining are needed to alleviate workers' undue anxiety.
| S-EPMC9408459 | biostudies-literature
Project description:OBJECTIVES:To assess the physical strains of employees in the German offshore wind industry, according to job type and phase of the wind farm (under construction or operation). DESIGN:Web-based cross-sectional survey. SETTING:Offshore wind farm companies operating within the German exclusive economic zone. PARTICIPANTS:Male workers with regular offshore commitments and at least 28 days spent offshore in the past year (n=268). OUTCOME MEASURES:Physical strains (eg, climbing, noise, working overhead, with twisted upper body or in confined spaces, vibration, heavy lifting, humidity, odours). RESULTS:The most frequently mentioned physical strain was 'climbing' with 63.8% of the respondents reporting to be always or frequently confronted with climbing and ascending stairs during offshore work. Work as a technician was associated with a greater exposition to noise, vibrations, humidity, cold, heat, chemical substances, lifting/carrying heavy loads, transport of equipment, working in non-ergonomic positions and in cramped spaces, as well as climbing.Indeed, statistical analyses showed that, after adjusting for phase of the wind farm, age, nationality, offshore experience, work schedule and type of shift, compared with non-technicians, working as a technician was associated with more frequently lifting/carrying of heavy loads (OR 2.58, 95%?CI 1.58 to 4.23), transport of equipment (OR 2.06 95%?CI 1.27 to 3.33), working with a twisted upper body (OR 2.85 95%?CI 1.74 to 4.69), working overhead (OR 2.77 95%?CI 1.67 to 4.58) and climbing (OR 2.30 95%?CI 1.40 to 3.77). Working in wind farms under construction was strongly associated with increased and decreased exposure to humidity (OR 2.32 95%?CI 1.38 to 3.92) and poor air quality (OR 0.58 95%?CI 0.35 to 0.95), respectively. CONCLUSIONS:Workers on offshore wind farms constitute a heterogeneous group, including a wide variety of occupations. The degree of exposure to detrimental physical strains varies depending on the type of job. Technicians are more exposed to ergonomic challenges than other offshore workers.
| S-EPMC5884351 | biostudies-literature
Project description:BACKGROUND:Essential workers have been shown to present a higher prevalence of positive screenings for anxiety and depression during the COVID-19 pandemic. Individuals from countries with socioeconomic inequalities may be at increased risk for mental health disorders. OBJECTIVE:We aimed to assess the prevalence and predictors of depression, anxiety, and their comorbidity among essential workers in Brazil and Spain during the COVID-19 pandemic. METHODS:A web survey was conducted between April and May 2020 in both countries. The main outcome was a positive screening for depression only, anxiety only, or both. Lifestyle was measured using a lifestyle multidimensional scale adapted for the COVID-19 pandemic (Short Multidimensional Inventory Lifestyle Evaluation-Confinement). A multinomial logistic regression model was performed to evaluate the factors associated with depression, anxiety, and the presence of both conditions. RESULTS:From the 22,786 individuals included in the web survey, 3745 self-reported to be essential workers. Overall, 8.3% (n=311), 11.6% (n=434), and 27.4% (n=1027) presented positive screenings for depression, anxiety, and both, respectively. After adjusting for confounding factors, the multinomial model showed that an unhealthy lifestyle increased the likelihood of depression (adjusted odds ratio [AOR] 4.00, 95% CI 2.72-5.87), anxiety (AOR 2.39, 95% CI 1.80-3.20), and both anxiety and depression (AOR 8.30, 95% CI 5.90-11.7). Living in Brazil was associated with increased odds of depression (AOR 2.89, 95% CI 2.07-4.06), anxiety (AOR 2.81, 95%CI 2.11-3.74), and both conditions (AOR 5.99, 95% CI 4.53-7.91). CONCLUSIONS:Interventions addressing lifestyle may be useful in dealing with symptoms of common mental disorders during the strain imposed among essential workers by the COVID-19 pandemic. Essential workers who live in middle-income countries with higher rates of inequality may face additional challenges. Ensuring equitable treatment and support may be an important challenge ahead, considering the possible syndemic effect of the social determinants of health.
| S-EPMC7641648 | biostudies-literature
Project description:BackgroundThe COVID-19 pandemic caused by SARS-CoV-2 has become a serious concern among the global medical community and has resulted in an unprecedented psychological impact on health care workers, who were already working under stressful conditions.ObjectiveIn this study, we aimed to evaluate and measure the effects of the COVID-19 pandemic on the anxiety levels and sleep quality among health care workers in India, as well as to determine how the unavailability of personal protective equipment affects their willingness to provide patient-related care.MethodsWe conducted an online cross-sectional study using piloted, structured questionnaires with self-reported responses from 368 volunteer male and female health care workers in India. Study participants were identified through social networking platforms such as Facebook and WhatsApp. The survey evaluated the participants' degree of signs and symptoms of anxiety and sleep quality based on the 7-item Generalized Anxiety Disorder (GAD-7) scale and single-item Sleep Quality Scale, respectively. Information on the availability of personal protective equipment was collected based on responses to relevant survey questions.ResultsThe majority of health care workers (126/368, 34.2%) were in the age group 45-60 years, and 52.2% (192/368) were doctors. Severe anxiety (ie, GAD-7 score >10) was observed among 7.3% (27/368) health care workers, whereas moderate, mild, and minimal anxiety was observed among 12.5% (46/368), 29.3% (108/368), and 50.8% (187/368) health care workers, respectively. Moreover, 31.5% (116/368) of the health care workers had poor-to-fair sleep quality (ie, scores <6). Univariate analysis showed female gender and inadequate availability of personal protective equipment was significantly associated with higher anxiety levels (P=.01 for both). Sleep disturbance was significantly associated with age <30 years (P=.04) and inadequate personal protective equipment (P<.001). Multivariable analysis showed that poorer quality of sleep was associated with higher anxiety levels (P<.001).ConclusionsThe COVID-19 pandemic has potentially caused significant levels of anxiety and sleep disturbances among health care workers, particularly associated with the female gender, younger age group, and inadequate availability of personal protective equipment. These factors put health care workers at constant risk of contracting the infection themselves or transmitting it to their families. Early identification of at-risk health care workers and implementation of situation-tailored mitigation measures could help alleviate the risk of long-term, serious psychological sequelae as well as reduce current anxiety levels among health care workers.
| S-EPMC7758087 | biostudies-literature
Project description:BACKGROUND:During pandemics, effective containment and mitigation measures may also negatively influence psychological stability. As knowledge about COVID-19 rapidly evolves, global implementation of containment and mitigation measures has varied greatly, with impacts to mental wellness. Assessing the impact of COVID-19 on the mental health needs of health care workers and other workers may help mitigate mental health impacts and secure sustained delivery of health care and other essential goods and services. OBJECTIVE:This study assessed the self-reported prevalence of stress, anxiety, depression, and obsessive-compulsive symptoms in health care workers and other workers seeking support through Text4Hope, an evidence-based SMS text messaging service supporting the mental health of residents of Alberta, Canada, during the COVID-19 pandemic. METHODS:An online cross-sectional survey gathered demographic (age, gender, ethnicity, education, relationship, housing and employment status, employment type, and isolation status) and clinical characteristics using validated tools (self-reported stress, anxiety, depression, and contamination/hand hygiene obsessive-compulsive symptoms). Descriptive statistics and chi-square analysis were used to compare the clinical characteristics of health care workers and other workers. Post hoc analysis was conducted on variables with >3 response categories using adjusted residuals. Logistic regression determined associations between worker type and likelihood of self-reported symptoms of moderate or high stress, generalized anxiety disorder, and major depressive disorder, while controlling for other variables. RESULTS:Overall, 8267 surveys were submitted by 44,992 Text4Hope subscribers (19.39%). Of these, 5990 respondents were employed (72.5%), 958 (11.6%) were unemployed, 454 (5.5%) were students, 559 (6.8%) were retired, 234 (2.8%) selected "other," and 72 (0.9%) did not indicate their employment status. Most employed survey respondents were female (n=4621, 86.2%). In the general sample, the 6-week prevalence rates for moderate or high stress, anxiety, and depression symptoms were 85.6%, 47.0%, and 44.0%, respectively. Self-reported symptoms of moderate or high stress, anxiety, and depression were all statistically significantly higher in other workers than in health care workers (P<.001). Other workers reported higher obsessive-compulsive symptoms (worry about contamination and compulsive handwashing behavior) after the onset of the pandemic (P<.001), while health care worker symptoms were statistically significantly higher before and during the COVID-19 pandemic (P<.001). This finding should be interpreted with caution, as it is unclear the extent to which the adaptive behavior of health care workers or the other workers might be misclassified by validated tools during a pandemic. CONCLUSIONS:Assessing symptoms of prevalent stress, anxiety, depression, and obsessive-compulsive behavior in health care workers and other workers may enhance our understanding of COVID-19 mental health needs. Research is needed to understand more fully the relationship between worker type, outbreak phase, and mental health changes over time, as well as the utility of validated tools in health care workers and other workers during pandemics. Our findings underscore the importance of anticipating and mitigating the mental health effects of pandemics using integrated implementation strategies. Finally, we demonstrate the ease of safely and rapidly assessing mental health needs using an SMS text messaging platform during a pandemic. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):RR2-10.2196/19292.
| S-EPMC7527165 | biostudies-literature
Project description:BackgroundA prospective study was conducted during the second phase of the coronavirus disease 2019 (COVID-19) pandemic in India to assess the prevalence of anxiety and depressive symptoms among healthcare workers (HCWs) and factors that influence the outcome.MethodsA self-administered questionnaire was completed by 1124 HCWs during the COVID-19 pandemic (March 30, 2020, to April 2, 2020). Demographic data, questions on COVID-19 and scores of the Hospital Anxiety and Depression Scale were analysed using the chi-square test (Bonferroni correction) and binary logistic regression.ResultsThe study consists of 1124 HCWs, including 749 doctors, 207 nurses, 135 paramedics, 23 administrators and ten supporting staff members. The prevalence of anxiety and depressive symptoms were reported as 37.2% and 31.4%, respectively. The risk factors for anxiety were female gender (30.6% vs 45.5%), age group (20-35 years) (50.4% vs 61.2%), unmarried (21.2% vs 30.6%) and job profile (nurse) (14.7% vs 26.4%). The protective factor was having service of more than 20 years (23.4% vs 14.8%). The risk factors for depression were age group (20-35 years) (51.3% vs 61.3%) and employed at a primary care hospital (16.2% vs 23.4%). The protective factors were job profile (doctor) (69.9% vs 59.6%) and having service of more than 20 years (22.3% vs 15.5%).ConclusionApproximately one-third of the HCWs reported anxiety and depressive symptoms. The risk factors for anxiety symptoms were female gender, younger age and job profile (nurse) and for depressive symptoms were younger age and working at a primary care hospital. Future research studies should identify strategies for providing a safer and supportive work environment for HCWs to face epidemics/pandemics.
| S-EPMC7462595 | biostudies-literature
Project description:ObjectiveThe purposes of this study were to evaluate the rate of workplace violence in county hospitals in China and its impact on healthcare workers and to explore the relationship between hospital violence, coping styles and anxiety to provide effective procedures for reducing anxiety among healthcare workers.MethodsThe study used stratified sampling to select 1200 healthcare workers from 30 county hospitals in China to conduct a questionnaire survey. Of these, 1030 were valid questionnaires, and the effective response rate was 85.83%. We collected demographic characteristics of our participants and administered the following scales to them: Workplace Violence, Trait Coping Style, Self-rating Anxiety. Data were statistically analysed.ResultsThe results showed that 67.28% of healthcare workers in county hospitals in China had experienced workplace violence in the previous 12 months, with prevalent verbal violence (66.12%) followed by physical violence (15.24%). Workplace violence in hospitals was negatively related to positive coping (r=-0.091, p<0.01) but positively related to negative coping (r=0.114, p<0.001) and anxiety (r=0.298, p<0.001). Positive and negative coping was negatively (r=-0.085, p<0.01) and positively (r=0.254, p<0.001) associated with anxiety respectively. Positive and negative coping influenced both hospital workplace violence and anxiety in healthcare workers who were victims of violence. Compared with positive coping, the mediating effect of negative coping was stronger (95% CI -0.177 to -0.006).ConclusionsThe incidence of workplace violence among healthcare workers in county-level hospitals in China is relatively high, and there is a correlation between hospital violence, coping styles and anxiety. Positive and negative coping play a mediating role in the impact of hospital violence on healthcare workers' anxiety. Therefore, hospital administrators should actively promote healthcare workers' transition to positive coping strategies and minimise the negative impact of anxiety on them.
| S-EPMC8287625 | biostudies-literature
Project description:BackgroundChanging population demographics and technology developments have resulted in growing interest in the potential of consumer-facing digital health. In the United Kingdom, a £37 million (US $49 million) national digital health program delivering assisted living lifestyles at scale (dallas) aimed to deploy such technologies at scale. However, little is known about how consumers value such digital health opportunities.ObjectiveThis study explored consumers' perspectives on the potential value of digital health technologies, particularly mobile health (mHealth), to promote well-being by examining their willingness-to-pay (WTP) for such health solutions.MethodsA contingent valuation study involving a UK-wide survey that asked participants to report open-ended absolute and marginal WTP or willingness-to-accept for the gain or loss of a hypothetical mHealth app, Healthy Connections.ResultsA UK-representative cohort (n=1697) and a dallas-like (representative of dallas intervention communities) cohort (n=305) were surveyed. Positive absolute and marginal WTP valuations of the app were identified across both cohorts (absolute WTP: UK-representative cohort £196 or US $258 and dallas-like cohort £162 or US $214; marginal WTP: UK-representative cohort £160 or US $211 and dallas-like cohort £151 or US $199). Among both cohorts, there was a high prevalence of zeros for both the absolute WTP (UK-representative cohort: 467/1697, 27.52% and dallas-like cohort: 95/305, 31.15%) and marginal WTP (UK-representative cohort: 487/1697, 28.70% and dallas-like cohort: 99/305, 32.5%). In both cohorts, better general health, previous amount spent on health apps (UK-representative cohort 0.64, 95% CI 0.27 to 1.01; dallas-like cohort: 1.27, 95% CI 0.32 to 2.23), and age had a significant (P>.00) association with WTP (UK-representative cohort: -0.1, 95% CI -0.02 to -0.01; dallas-like cohort: -0.02, 95% CI -0.03 to -0.01), with younger participants willing to pay more for the app. In the UK-representative cohort, as expected, higher WTP was positively associated with income up to £30,000 or US $39,642 (0.21, 95% CI 0.14 to 0.4) and increased spending on existing phone and internet services (0.52, 95% CI 0.30 to 0.74). The amount spent on existing health apps was shown to be a positive indicator of WTP across cohorts, although the effect was marginal (UK-representative cohort 0.01, 95% CI 0.01 to 0.01; dallas-like cohort 0.01, 95% CI 0.01 to 0.02).ConclusionsThis study demonstrates that consumers value mHealth solutions that promote well-being, social connectivity, and health care control, but it is not universally embraced. For mHealth to achieve its potential, apps need to be tailored to user accessibility and health needs, and more understanding of what hinders frequent users of digital technologies and those with long-term conditions is required. This novel application of WTP in a digital health context demonstrates an economic argument for investing in upskilling the population to promote access and expedite uptake and utilization of such digital health and well-being apps.
| S-EPMC6354197 | biostudies-literature