Dataset Information

Concerns and Misconceptions About the Australian Government's COVIDSafe App: Cross-Sectional Survey Study.

ABSTRACT: BACKGROUND:Timely and effective contact tracing is an essential public health measure for curbing the transmission of COVID-19. App-based contact tracing has the potential to optimize the resources of overstretched public health departments. However, its efficiency is dependent on widespread adoption. OBJECTIVE:This study aimed to investigate the uptake of the Australian Government's COVIDSafe app among Australians and examine the reasons why some Australians have not downloaded the app. METHODS:An online national survey, with representative quotas for age and gender, was conducted between May 8 and May 11, 2020. Participants were excluded if they were a health care professional or had been tested for COVID-19. RESULTS:Of the 1802 potential participants contacted, 289 (16.0%) were excluded prior to completing the survey, 13 (0.7%) declined, and 1500 (83.2%) participated in the survey. Of the 1500 survey participants, 37.3% (n=560) had downloaded the COVIDSafe app, 18.7% (n=280) intended to do so, 27.7% (n=416) refused to do so, and 16.3% (n=244) were undecided. Equally proportioned reasons for not downloading the app included privacy (165/660, 25.0%) and technical concerns (159/660, 24.1%). Other reasons included the belief that social distancing was sufficient and the app was unnecessary (111/660, 16.8%), distrust in the government (73/660, 11.1%), and other miscellaneous responses (eg, apathy and following the decisions of others) (73/660, 11.1%). In addition, knowledge about COVIDSafe varied among participants, as some were confused about its purpose and capabilities. CONCLUSIONS:For the COVIDSafe app to be accepted by the public and used correctly, public health messages need to address the concerns of citizens, specifically privacy, data storage, and technical capabilities. Understanding the specific barriers preventing the uptake of contact tracing apps provides the opportunity to design targeted communication strategies aimed at strengthening public health initiatives, such as downloading and correctly using contact tracing apps.

SUBMITTER: Thomas R

PROVIDER: S-EPMC7644267 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Concerns and Misconceptions About the Australian Government's COVIDSafe App: Cross-Sectional Survey Study.

Thomas Rae R Michaleff Zoe A ZA Greenwood Hannah H Abukmail Eman E Glasziou Paul P

JMIR public health and surveillance 20201104 4

<h4>Background</h4>Timely and effective contact tracing is an essential public health measure for curbing the transmission of COVID-19. App-based contact tracing has the potential to optimize the resources of overstretched public health departments. However, its efficiency is dependent on widespread adoption.<h4>Objective</h4>This study aimed to investigate the uptake of the Australian Government's COVIDSafe app among Australians and examine the reasons why some Australians have not downloaded t ...[more]

PMID: 33048826

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Project description:BackgroundFamilies experiencing high levels of psychological distress are considered a particularly vulnerable population for adverse effects on mental and physical health. Moreover, highly stressed individuals engage less in mental health promoting activities and show low stress management competencies. App-based stress interventions seem promising for the treatment and prevention of stress outcomes and might be a low-threshold solution.ObjectiveThe aim of this study was to identify the requirements for a tailored app to reduce stress in a cohort of highly stressed families that have low stress management skills.MethodsParents (n=1008; age: mean 47.7 years, SD 6.1; female: 599/1008, 59.7%) completed an extensive web-based survey and were subdivided into a target (stressed individuals with low stress competency) and nontarget group according to their reported stress level and stress management competencies. Group differences were analyzed using analysis of variance. In principal component analysis with Kaiser varimax rotation, personally defined stress management goals were grouped into components. Linear regression models were also calculated.ResultsA 3-factor solution cumulatively explained 56% of the variance in personally defined goals of interest for stress management with (1) active strategies (25.61% explained variance), (2) general competency (17.95% explained variance) and (3) passive strategies (12.45% explained variance). The groups differed in age (F1,978=27.67, P<.001), health index (F1,958=246.14, P<.001), personally defined general-competency goal (F1,958=94.16 P<.001), as well as "information acquisition" (F1,971=14.75, P<.001) and "need for stimulation" (F1,981=54.49, P<.001) personality traits. A regression model showed that for the active strategies goals of interest, only app feature information or instructional videos had a significant effect (P=.02). The general competency factor showed none, and the passive strategies factor showed significant effects for 2 app features-suggestions for planning possible activities with the family (P=.01) and diaries for documentation and development of strategies (P=.03).ConclusionsThe results of this survey study highlight the need to develop an app to increase stress management competencies that takes into consideration perceived stress level, stress management skills, personality, and personally defined goals of the user. The content of the app should be tailored to previously detected personality traits, especially selective information acquisition and low need for stimulation. Furthermore, personally defined stress management goals seem to affect interest in some features.

Project description:BackgroundOver 30% of Americans report regular sleep disturbance, and consumers are increasingly seeking strategies to improve sleep. Self-guided mindfulness mobile apps may help individuals improve their sleep. Despite the recent proliferation of sleep content within commercially available mindfulness apps, there is little research on how consumers are using these apps for sleep.ObjectiveWe conducted a cross-sectional survey among subscribers to Calm, a popular, consumer-based, mindfulness-based meditation app, and described and compared how good sleepers, poor sleepers, and those with self-reported insomnia use the app for sleep.MethodsParticipants who were paying subscribers of Calm and had used a sleep component of Calm in the last 90 days were invited to complete an investigator-developed survey that included questions about sleep disturbance and the use of Calm for sleep. Based on self-reports of sleep disturbances and of insomnia diagnosis, participants were categorized as "good sleepers," "poor sleepers," or "those with insomnia diagnosis." Chi-square tests compared reasons for downloading the app and usage patterns across participants with and without sleep disturbance.ResultsThere was a total of 9868 survey respondents. Approximately 10% of participants (1008/9868, 10.21%) were good sleepers, 78% were poor sleepers (7565/9868, 77.66%), and 11% reported a diagnosis of insomnia (1039/9868, 10.53%). The sample was mostly White (8185/9797, 83.55%), non-Hispanic (8929/9423, 94.76%), and female (8166/9578, 85.26%). The most common reasons for sleep disturbances were racing thoughts (7084/8604, 82.33%), followed by stress or anxiety (6307/8604, 73.30%). Poor sleepers and those with insomnia were more likely than good sleepers to have downloaded Calm to improve sleep (χ22=1548.8, P<.001), reduce depression or anxiety (χ22=15.5, P<.001), or improve overall health (χ22=57.6, P<.001). Respondents with insomnia used Calm most often (mean 5.417 days/week, SD 1.936), followed by poor sleepers (mean 5.043 days/week, SD 2.027; F2=21.544, P<.001). The most common time to use Calm was while lying down to sleep (7607/9686, 78.54%), and bedtime use was more common among poor sleepers and those with insomnia (χ22=382.7, P<.001). Compared to good and poor sleepers, those with insomnia were more likely to use Calm after waking up at night (χ22=410.3, P<.001). Most participants tried to use Calm on a regular basis (5031/8597, 58.52%), but regular nighttime use was most common among those with insomnia (646/977, 66.1%), followed by poor sleepers (4040/6930, 58.30%; χ22=109.3, P<.001).ConclusionsOf the paying subscribers to Calm who have used one of the sleep components, approximately 90% have sleep difficulties, and 77% started using Calm primarily for sleep. These descriptive data point to areas of focus for continued refinement of app features and content, followed by prospective trials testing efficacy of consumer-based meditation mobile apps for improving sleep.

Project description:Aims and objectivesTo compare knowledge, anxiety, academic concerns and preventative behaviours between undergraduate nursing students in Australia and India during the COVID-19 pandemic.BackgroundBased on the World Health Organization's direction for containment of the novel coronavirus (COVID-19), countries implemented varying levels of restrictions including closure of university campuses and providing on line undergraduate education.MethodsStudents in NSW, Australia and Kerala, India completed an online survey assessing their (a) knowledge and source of information about COVID-19; (b) anxiety; and coping strategies; (c) academic concerns; and (d) preventative behaviours. Descriptive and inferential statistics were used to summarise the data.ResultsData from 99 Australian and 113 Indian undergraduate nurses were analysed. Greater number of Indian students indicated having sufficient knowledge of COVID-19 (OR 0.22; 95% CI 0.08, 0.63), getting information about COVID-19 from social media (OR 0.03; 95% CI 0.01, 0.07) and being concerned about 'attending clinical placement' (MD-1.08; 95% CI -1.94, -0.23). Australian students reported significantly higher levels of anxiety (MD 1.99 95% CI 1.21, 2.78), difficulty sleeping (OR 18.00; 95% CI 6.76, 47.96), concentrating (OR 33.22; 95% CI 13.85, 79.67) and eating (OR 14.05; 95% CI 3.19, 61.84). Greater number of Australian students indicated that they would go to the University if they needed to meet with other students (OR 9.21; 95% CI 3.08, 27.55), had to access the library (OR 7.20; 95% CI 3.26, 15.90) or had a group assignment (OR 2.93; 95% CI 1.26, 6.77).ConclusionsWide variations were present in knowledge, anxiety, academic concerns and preventative behaviours among undergraduate nursing students in two countries.Relevance to clinical practiceUndergraduate students may benefit from additional support from the University and staff in the clinical setting with online learning and resources in order to adjust to the 'new normal' and enable them to achieve academic success.

Project description:Adolescence can be a fertile time for relationship issues, with interpersonal conflict being a risk factor for poor mental health. Mobile app interventions may have a significant appeal to young people in assisting with relationship distress. However, currently available apps have not been formally evaluated. Youths' perspectives on engaging with mobile technology to assist with relationships are also unknown.This study aimed to examine adolescents' attitudes toward the concept of a mobile phone app for relationship help and support, and whether they would be likely to use such an intervention.A cross-sectional Web survey consisting of 42 questions, including 13 free responses, was delivered. The proposed app, including character vignettes, was presented, and participants were asked to indicate whether they had experienced the same relationship issues, whether their peers would relate to the issues, and how helpful they found the proposed advice. Participants were also asked to provide their own suggestions for help, which were analyzed using thematic analyses.A total of 150 adolescents (aged 15 to 18) participated. Overall, 60.7% (91/150) were likely to use an app for relationship problems, and this was not associated with demographics or social support (all P values >.05). Likelihood of app usage was found to be influenced by perceived need for help, personal beliefs about app effectiveness, and whether the app is engaging and easy to use. Overall, adolescents were receptive of the proposed content with an average of 99.3% (149/150), rating the strategies provided as somewhat to very helpful.Adolescents were likely to use a mobile phone app for relationship support, and use was not influenced by gender, age, social support, or any other background characteristic. Instead, likely use was influenced by need, personal beliefs, usability, and the appropriateness of app content. App developers must address these factors if the app is to have a wide-scale uptake.

Project description:BackgroundThe rapid expansion in the use of electronic health records (EHR) has increased the number of medical errors originating in health information systems (HIS). The sociotechnical approach helps in understanding risks in the development, implementation, and use of EHR and health information technology (HIT) while accounting for complex interactions of technology within the health care system.ObjectiveThis study addresses two important questions: (1) "which of the common EHR error types are associated with perceived high- and extreme-risk severity ratings among EHR users?", and (2) "which variables are associated with high- and extreme-risk severity ratings?"MethodsThis study was a quantitative, non-experimental, descriptive study of EHR users. We conducted a cross-sectional web-based questionnaire study at the largest hospital district in Finland. Statistical tests included the reliability of the summative scales tested with Cronbach's alpha. Logistic regression served to assess the association of the independent variables to each of the eight risk factors examined.ResultsA total of 2864 eligible respondents provided the final data. Almost half of the respondents reported a high level of risk related to the error type "extended EHR unavailability". The lowest overall risk level was associated with "selecting incorrectly from a list of items". In multivariate analyses, profession and clinical unit proved to be the strongest predictors for high perceived risk. Physicians perceived risk levels to be the highest ( P<.001 in six of eight error types), while emergency departments, operating rooms, and procedure units were associated with higher perceived risk levels ( P<.001 in four of eight error types). Previous participation in eLearning courses on EHR-use was associated with lower risk for some of the risk factors.ConclusionsBased on a large number of Finnish EHR users in hospitals, this study indicates that HIT safety hazards should be taken very seriously, particularly in operating rooms, procedure units, emergency departments, and intensive care units/critical care units. Health care organizations should use proactive and systematic assessments of EHR risks before harmful events occur. An EHR training program should be compulsory for all EHR users in order to address EHR safety concerns resulting from the failure to use HIT appropriately.

Project description:BackgroundUse of cannabis during pregnancy and breastfeeding is increasing. Mental health concerns are reported as common reasons for maternal cannabis use, but little is known about the use of psychiatric medications in this population.ObjectivesThis study aimed to describe psychiatric medication use among pregnant and breastfeeding mothers who used cannabis for mental health concerns.DesignAnonymous, online cross-sectional survey.MethodsData were collected from May 2018 to August 2019 among pregnant and breastfeeding mothers who used cannabis. This study included mothers who reported cannabis use for mental health concerns (n = 1363). The survey assessed the timing of cannabis use (during pregnancy and/or lactation); use of cannabis to address depression, posttraumatic stress disorder, or anxiety; use of psychiatric medications; psychiatric distress (Patient Health Questionnaire-4); and demographic information. Differences between groups were examined using t-test and chi-square test in SPSS.ResultsThe mean age was 29.7 years; most were married (62%); 74% were White non-Hispanic, 9% Hispanic, and 17% Black, Indigenous or other People of Color. Mental health symptoms prompting cannabis use included anxiety (96%), depression (75%), and posttraumatic stress disorder (36%). Only 24% of respondents (n = 322) reported concomitant use of psychiatric medications, primarily selective serotonin reuptake inhibitors (72%, n = 232) and benzodiazepines (21%, n = 68). The composite Patient Health Questionnaire-4 showed most respondents had no (61%) or mild (27%) psychological distress; 14% screened positive for depression; and 17% screened positive for anxiety. Respondents who used psychiatric medications more often screened positive mental health concerns.ConclusionMost mothers who used cannabis for mental health concerns were not taking psychiatric medications. This may be due to a mismatch between perceived mental health and screening results, un- or under-treated mental illness, or preference for cannabis over psychiatric medications. Improved management of perinatal mental health and effective patient education about risks of cannabis versus medication use are needed.

Project description:Mobile health apps have changed the way people obtain health information and services and advance their understanding and management of their health. Although many health apps are available, little is known about the prevalence of their use for different purposes, whether such use is associated with demographic characteristics, and the impacts of their use on health knowledge and management.The main objectives of this study were to examine the prevalence, extent, and demographic correlates of health app use and the perceived impacts of health app use on increased health knowledge and improved health condition management.We conducted a cross-sectional questionnaire survey of 633 Chinese adults randomly drawn from the general population in Hong Kong.Of the 633 participants, 612 (96.7%) reported using mobile devices. Of them, 235 (38.4%) reported using multiple types of health apps. The most-used type of health app was about healthy living information (197/612, 32.2%), followed by measuring/recording vital signs (80/612, 13.1%), health and medical reminders (64/612, 10.5%), recovery and rehabilitation information (42/612, 6.9%), diagnosis assistance (28/612, 4.6%), emergency services (16/612, 2.6%), telehealth (11/612, 1.8%), and “other” (19/612, 3.1%). Multivariate logistic regression analysis found that health app users were more likely to be women (odds ratio [OR] 1.68, 95% CI 1.14-2.48, P=.01) of a higher self-rated social class (OR 3.66, 95% CI 1.11-12.11, P=.03). Participants who worked in education/culture/academia (OR 2.31, 95% CI 1.16-4.59, P=.02) or disciplinary forces (OR 5.07, 95% CI 1.25-20.62, p=.02) were more likely to believe that using health apps could increase their health knowledge; participants working in education/culture/academia were also more likely to believe that using health apps could improve the effectiveness of health condition management (OR 2.18, 95% CI 1.10-4.34, P=.03).Effort should be made to promote health app use, especially to demographic groups that are currently less likely to use health apps (eg, males, individuals from lower social classes). From the public health perspective, guidelines could be developed to help individuals identify quality health apps that meet their needs. Moreover, app developers could improve the usability of health apps to promote health app use.

Dataset Information

Concerns and Misconceptions About the Australian Government's COVIDSafe App: Cross-Sectional Survey Study.

Publications

Concerns and Misconceptions About the Australian Government's COVIDSafe App: Cross-Sectional Survey Study.

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