scholarly journals Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore

10.2196/24730 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e24730
Author(s):  
Young Ern Saw ◽  
Edina Yi-Qin Tan ◽  
Jessica Shijia Liu ◽  
Jean CJ Liu
Keyword(s):  
Online Survey ◽  
Mobile Apps ◽  
National Level ◽  
Nationwide Survey ◽  
Primary Outcome Measure ◽  
Mobile App ◽  
Contact Tracing ◽  
Data Set ◽  
Network Analyses ◽  
Pandemic Severity

Background During the COVID-19 pandemic, new digital solutions have been developed for infection control. In particular, contact tracing mobile apps provide a means for governments to manage both health and economic concerns. However, public reception of these apps is paramount to their success, and global uptake rates have been low. Objective In this study, we sought to identify the characteristics of individuals or factors potentially associated with voluntary downloads of a contact tracing mobile app in Singapore. Methods A cohort of 505 adults from the general community completed an online survey. As the primary outcome measure, participants were asked to indicate whether they had downloaded the contact tracing app TraceTogether introduced at the national level. The following were assessed as predictor variables: (1) participant demographics, (2) behavioral modifications on account of the pandemic, and (3) pandemic severity (the number of cases and lockdown status). Results Within our data set, the strongest predictor of the uptake of TraceTogether was the extent to which individuals had already adjusted their lifestyles because of the pandemic (z=13.56; P<.001). Network analyses revealed that uptake was most related to the following: using hand sanitizers, avoiding public transport, and preferring outdoor over indoor venues during the pandemic. However, demographic and situational characteristics were not significantly associated with app downloads. Conclusions Efforts to introduce contact tracing apps could capitalize on pandemic-related behavioral adjustments among individuals. Given that a large number of individuals is required to download contact tracing apps for contact tracing to be effective, further studies are required to understand how citizens respond to contact tracing apps. Trial Registration ClinicalTrials.gov NCT04468581, https://clinicaltrials.gov/ct2/show/NCT04468581

scholarly journals Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore (Preprint)

2020 ◽  
Author(s):  
Young Ern Saw ◽  
Edina Yi-Qin Tan ◽  
Jessica Shijia Liu ◽  
Jean CJ Liu
Keyword(s):  
Online Survey ◽  
Mobile Apps ◽  
National Level ◽  
Nationwide Survey ◽  
Primary Outcome Measure ◽  
Mobile App ◽  
Contact Tracing ◽  
Data Set ◽  
Network Analyses ◽  
Pandemic Severity

BACKGROUND During the COVID-19 pandemic, new digital solutions have been developed for infection control. In particular, contact tracing mobile apps provide a means for governments to manage both health and economic concerns. However, public reception of these apps is paramount to their success, and global uptake rates have been low. OBJECTIVE In this study, we sought to identify the characteristics of individuals or factors potentially associated with voluntary downloads of a contact tracing mobile app in Singapore. METHODS A cohort of 505 adults from the general community completed an online survey. As the primary outcome measure, participants were asked to indicate whether they had downloaded the contact tracing app TraceTogether introduced at the national level. The following were assessed as predictor variables: (1) participant demographics, (2) behavioral modifications on account of the pandemic, and (3) pandemic severity (the number of cases and lockdown status). RESULTS Within our data set, the strongest predictor of the uptake of TraceTogether was the extent to which individuals had already adjusted their lifestyles because of the pandemic (z=13.56; <i>P</i>&lt;.001). Network analyses revealed that uptake was most related to the following: using hand sanitizers, avoiding public transport, and preferring outdoor over indoor venues during the pandemic. However, demographic and situational characteristics were not significantly associated with app downloads. CONCLUSIONS Efforts to introduce contact tracing apps could capitalize on pandemic-related behavioral adjustments among individuals. Given that a large number of individuals is required to download contact tracing apps for contact tracing to be effective, further studies are required to understand how citizens respond to contact tracing apps. CLINICALTRIAL ClinicalTrials.gov NCT04468581, https://clinicaltrials.gov/ct2/show/NCT04468581

scholarly journals Predicting public take-up of digital contact tracing during the COVID-19 crisis: Results of a national survey

2020 ◽  
Author(s):  
Young Ern Saw ◽  
Edina YQ Tan ◽  
Jessica S Liu ◽  
Jean CJ Liu
Keyword(s):  
Online Survey ◽  
Critical Mass ◽  
National Level ◽  
Sociodemographic Factors ◽  
Primary Outcome Measure ◽  
Contact Tracing ◽  
Network Analyses ◽  
Link Type ◽  
Situational Characteristics ◽  
Pandemic Severity

AbstractBackgroundIn the global outbreak of coronavirus disease 2019 (COVID-19), new digital solutions have been developed for infection control. In particular, contact tracing mobile applications provide a means for governments to manage both health and economic concerns. However, public reception of these applications is paramount to success, and global take-up rates have been low.ObjectiveIn this study, we sought to identify sociodemographic factors predicting voluntary downloads of a contact tracing mobile application.MethodsA sample of 505 adults from the general community completed an online survey. As the primary outcome measure, participants indicated whether they had downloaded a contact tracing application introduced at the national level (“TraceTogether”). As predictor variables, we assessed: (1) participant demographics; (2) behavioral changes on account of the pandemic; and (3) pandemic severity (the number of cases and lockdown status).ResultsWithin our dataset, the strongest predictor of digital contact tracing take-up was the extent to which individuals had already adjusted their lifestyles because of the pandemic (Z = 13.97, p < .001). Network analyses revealed that take-up was most related to: using hand sanitizers, avoiding public transport, and preferring outdoor over indoor venues during the pandemic. However, demographic and situational characteristics did not significantly predict application downloads.ConclusionsEfforts to introduce contact tracing applications could capitalize on pandemic-related behavioral adjustments that individuals have made. Given that critical mass is needed for contact tracing to be effective, we urge further research to understand how citizens respond to contact tracing applications.Trial RegistrationClinicalTrials.govNCT04468581

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens. (Preprint)

2021 ◽  
Author(s):  
Stephanie Maria Jansen-Kosterink ◽  
Marian Hurmuz ◽  
Marjolein den Ouden ◽  
Lex van Velsen
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Online Survey ◽  
Reproduction Number ◽  
Mobile Apps ◽  
Contact Tracing ◽  
Snowball Sampling ◽  
Final Model ◽  
Symptom Recognition ◽  
Personal Connections

UNSTRUCTURED Background: eHealth applications have been recognized as a valuable tool to reduce COVID-19’s effective reproduction number. In this paper, we report on an online survey among Dutch citizens with the goal to identify antecedents of acceptance of a mobile application for COVID-19 symptom recognition and monitoring, and a mobile application for contact tracing. Methods: Next to the demographics, the online survey contained questions focussing on perceived health, fear of COVID-19 and intention to use. We used snowball sampling via posts on social media and personal connections. To identify antecedents of acceptance of the two mobile applications we conducted multiple linear regression analyses. Results: In total, 238 Dutch adults completed the survey. Almost 60% of the responders were female and the average age was 45.6 years (SD±17.4). For the symptom app, the final model included the predictors age, attitude towards technology and fear of COVID-19. The model had an R2 of 0.141. The final model for the tracing app included the same predictors and had an R2 of 0.156. The main reason to use both mobile applications was to control the spread of the COVID-19 virus. Concerns about privacy was mentioned as the main reason not to use the mobile applications. Conclusion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance. Discussion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance. Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance.

A Survey on the Use of Mobile Applications for People who Are Visually Impaired

2017 ◽  
Vol 111 (4) ◽  
pp. 307-323 ◽  
Author(s):  
Nora Griffin-Shirley ◽  
Devender R. Banda ◽  
Paul M. Ajuwon ◽  
Jongpil Cheon ◽  
Jaehoon Lee ◽  
...  
Keyword(s):  
Mobile Application ◽  
Online Survey ◽  
Low Vision ◽  
Mobile Apps ◽  
Visual Impairments ◽  
Mobile App ◽  
Adult Group ◽  
Preliminary Information ◽  
Old Adult ◽  
Middle Aged Adult

Introduction The literature indicates that few studies have been conducted with persons with visual impairments (that is, those who are blind or have low vision) concerning mobile application or “app” usage. The current study explores the use of mobile apps with this population globally. Methods A total of 259 participants with visual impairments completed an online survey. Descriptive statistics and bivariate tests were used to examine associations between demographic characteristics and mobile app use. Results The participants rated special apps as useful (95.4%) and accessible (91.1%) tools for individuals with visual impairments. More than 90% of the middle-aged adult group strongly agreed with the practicality of special apps, a significantly higher percentage than was observed in the young and old adult groups. In addition, the participants with low vision considered special apps less accessible than did those with blindness (p < .05). Discussion Results show that persons with visual impairments frequently use apps specifically designed for them to accomplish daily activities. Furthermore, this population is satisfied with mobile apps and would like to see improvements and new apps. Implications for practitioners Developers of apps for individuals with visual impairments need to refine and test the existing apps. Practitioners need to be knowledgeable about app usage so they can provide effective instruction to their students or clients. This study provides preliminary information regarding app usage among persons with visual impairments.

scholarly journals Hospital-Nursing Home Transfer Patterns and Influence on Nursing Home Clostridium difficile Infection Rates

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S402-S403
Author(s):  
Lauren Campbell ◽  
Kristen Bush ◽  
Ghinwa Dumyati
Keyword(s):  
Nursing Home ◽  
Network Analysis ◽  
Online Survey ◽  
Negative Binomial ◽  
Network Clustering ◽  
Emerging Infections ◽  
Clustering Methods ◽  
Data Set ◽  
Patient Transfers ◽  
Network Analyses

Abstract Background Little is known as to how hospital C. difficile infection (CDI) may impact nursing home (NH) CDI, or how patient transfers may modify this relationship. This study aims to examine a possible association between hospital and NH CDI rates, and whether NH CDI rates are influenced by patient transfers from hospital to NH. Methods Patient transfers among the 5 hospitals and 34 NHs in Monroe County, NY were identified from the Minimum Data Set (MDS) 3.0 and Medicare Provider Analysis and Review files for 2011–13, and aggregated to the NH level. NH and hospital CDI rates were obtained from Emerging Infections Program CDI population surveillance and National Healthcare Safety Network data, respectively. Multivariate negative binomial regression modeled the association between hospital CDI rate (weighted by hospital-to-NH transfers/overall transfers among hospitals and NHs) and NH CDI rate, controlling for NH covariates from NH Compare and the Online Survey, Certification, and Reporting files. Patient transfer networks between hospitals and NHs were constructed, and basic network analysis of transfer patterns was conducted to confirm contributing factors to NH CDI rates from the multivariate model. Results When weighted hospital CDI rate increased by 1%, NH CDI rate increased by 18% (P = 0.016). Antibiotic and feeding tube prevalence were associated with a 4% and 8% increase in NH CDI rate, respectively (P≤0.014). Network analysis confirmed multivariate results and detected hospital-NH pairs with high edge weights (number of transfers) where NHs receiving patients from hospitals with high CDI rates had higher CDI rates. Network clustering methods were used to identify 2 sub-networks within overall annual networks and clusters of hospital-NH pairs for targeted intervention. Conclusion Hospital CDI rate, adjusting for patient transfers, is associated with higher NH CDI rates in multivariate and network analyses, suggesting that NHs with a large inflow of patients from hospitals may need to implement stricter infection prevention practices to reduce transmission among residents. By identifying regional sub-networks, network analysis can also be used to actively manage facility CDI and prevent spread to other healthcare facilities. Disclosures All authors: No reported disclosures.

scholarly journals Pediatric Speech-Language Pathologists’ Use of Mobile Health Technology: Qualitative Questionnaire Study (Preprint)

2019 ◽  
Author(s):  
Kelsey Thompson ◽  
Emily Zimmerman
Keyword(s):  
Parent Education ◽  
Technology Use ◽  
Online Survey ◽  
Mobile Apps ◽  
Clinical Work ◽  
The United States ◽  
Mobile App ◽  
Future Research ◽  
Age Group ◽  
Speech Language Pathologists

BACKGROUND While technology use in pediatric therapies is increasing, there is so far no research available focusing on how pediatric speech-language pathologists (SLPs) in the United States use technology. OBJECTIVE This paper sought to determine if, and to what extent, pediatric SLPs are using mobile apps, to determine what purpose they are using them for, and to identify gaps in available technology to provide guidance for future technological development. METHODS Pediatric SLPs completed an online survey containing five sections: demographics, overall use, use in assessment, use in intervention, barriers, and future directions. RESULTS Mobile app use by 485 pediatric SLPs in the clinical setting was analyzed. Most (364/438; 83.1%) pediatric SLPs reported using technology ≤50% of the time in their clinical work, with no differences evident by age group (&lt;35 years and ≥35 years; <italic>P</italic>=.97). Pediatric SLPs are currently using apps for intervention (399/1105; 36.1%), clinical information (241/1105; 21.8%), parent education (151/1105; 13.7%), assessment (132/1105; 12%), client education (108/1105; 9.8%), and other uses (55/1105; 5.0%). Cost (46/135; 34.1%) and lack of an evidence base (36/135; 26.7%) were the most frequently reported barriers. Most SLPs (268/380; 70.7%) desired more technology use, with no difference evident by age group (<italic>P</italic>=.81). CONCLUSIONS A majority of pediatric SLPs are using mobile apps less than 50% of the time in a pediatric setting and they use them more during intervention compared to assessment. While pediatric SLPs are hesitant to add to their client’s screen time, they would like more apps to be developed that are supported by research and are less expensive. Implications for future research and app development are also discussed.

scholarly journals Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey (Preprint)

2021 ◽  
Author(s):  
Rajae Touzani ◽  
Emilien Schultz ◽  
Seth M Holmes ◽  
Stéphanie Vandentorren ◽  
Pierre Arwidson ◽  
...  
Keyword(s):  
Health Literacy ◽  
Multinomial Logistic Regression ◽  
Mobile Apps ◽  
Mobile App ◽  
Perceived Usefulness ◽  
Contact Tracing ◽  
Structural Determinants ◽  
Multinomial Logistic Regression Analysis ◽  
Factors Associated ◽  
Literacy Survey

BACKGROUND Several countries have implemented mobile apps in an attempt to trace close contacts of patients with COVID-19 and, in turn, reduce the spread of SARS-CoV-2. However, the effectiveness of this approach depends on the adherence of a large segment of the population. OBJECTIVE The aims of this study were to evaluate the acceptability of a COVID-19 contact tracing mobile app among the French population and to investigate the barriers to its use. METHODS The Health Literacy Survey 2019 questioned 1003 people in France during the COVID-19 pandemic on the basis of quota sampling. The survey collected sociodemographic characteristics and health literacy data, as well as information on participants’ communication with caregivers, trust in institutions, and COVID-19 knowledge and preventive behaviors. The acceptability of a mobile app for contact tracing was measured by a single question, the responses to which were grouped into three modalities: app-supporting, app-willing, and app-reluctant. Multinomial logistic regression analysis was performed to identify the factors associated with the acceptability of a mobile app during the COVID-19 pandemic. RESULTS Only 19.2% (193/1003) of all participants were app-supporting, whereas half of them (504/1003, 50.3%) were reluctant. The factors associated with willingness or support toward the contact tracing app included lower financial deprivation (app-willing: adjusted odds ratio [aOR] 0.8, 95% CI 0.69-0.93; app-supporting: aOR 0.7, 95% CI 0.58-0.84) and higher perceived usefulness of using a mobile app to send completed health questionnaires to doctors (app-willing: aOR 2.3, 95% CI 1.70-3.26; app-supporting: aOR 3.1, 95% CI 2.04-4.82). Furthermore, the likelihood of supporting the mobile app increased with age over 60 years (aOR 1.9, 95% CI 1.13-3.22), trust in political representatives (aOR 2.7, 95% CI 1.72-4.23), feeling concerned about the pandemic situation (aOR 2.2, 95% CI 1.47-3.32), and knowledge about the transmission of COVID-19 (aOR 2.0, 95% CI 1.39-2.96). CONCLUSIONS The most socioeconomically precarious people, who are at a higher risk of SARS-CoV-2 infection, are also the most reluctant to using a contact tracing mobile app. Therefore, optimal adherence can only be effective with a targeted discourse on public health benefits to adopt such an app, which should be combined with a reduction in inequalities by acting on structural determinants.

scholarly journals Public Attitudes Towards the Use of Novel Technologies in Their Future Healthcare: A UK Survey

2021 ◽  
Author(s):  
Sarah Sauchelli ◽  
Tim Pickles ◽  
Alexandra Voinescu ◽  
Heungjae Choi ◽  
Ben Sherlock ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Online Survey ◽  
Medical Condition ◽  
Mobile Apps ◽  
Mobile App ◽  
Continuous Glucose Monitor ◽  
Novel Technologies ◽  
Health And Social Care ◽  
Patient Reported ◽  
Healthcare Technologies

Abstract Background Innovation in healthcare technologies can result in more convenient and effective treatment that is less costly, but a persistent challenge to widespread adoption in health and social care is end user acceptability. The purpose of this study was to capture UK public opinions and attitudes to novel healthcare technologies (NHTs), and to better understand the factors that contribute to acceptance and future use. Methods An online survey was distributed to the UK public between April and May 2020. Respondents received brief information about four novel healthcare technologies (NHTs) in development: a laser-based tool for early diagnosis of osteoarthritis, a virtual reality tool to support diabetes self-management, a non-invasive continuous glucose monitor using microwave signals, a mobile app for patient reported monitoring of rheumatoid arthritis. They were queried on their general familiarity and attitudes to technology, and their willingness to accept each NHT in their future care. Responses were analysed using summary statistics and content analysis. Results Knowledge about NHTs was diverse, with respondents being more aware about the health applications of mobile apps (66%), followed by laser-based technology (63.8%), microwave signalling (28%), and virtual reality (18.3%). Increasing age and the presence of a self-reported medical condition favoured acceptability for some NHTs, whereas self-reported understanding of how the NHT works resulted in elevated acceptance scores across all NHTs presented. Common contributors to hesitancy were safety and risks from use. Respondents wanted more information and evidence to help inform their decisions, ideally provided verbally by a general practitioner or health professional. Other concerns, such as privacy, were NHT-specific but equally important in decision-making. Conclusions Early insight into the knowledge and preconceptions of the public about NHTs in development can assist their design and prospectively mitigate obstacles to acceptance and adoption.

scholarly journals Demystifying the Effect of Flow Experience for Mobile App-based E-Services

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Online Survey ◽  
Mobile Apps ◽  
Marketing Mix ◽  
Mobile App ◽  
Ease Of Use ◽  
Flow Experience ◽  
Intention To Use ◽  
Privacy Concern ◽  
Experience Marketing ◽  
Subsequent Effect

The purpose of this paper is to understand the consumer behavior by investigating the effect of flow experience and marketing mix on consumers continued intention to use e-services provided through mobile applications and subsequent effect on consumers loyalty. The study also tests through a moderated mediation approach, the mediation of continued intention to use between flow experience-marketing mix and consumers loyalty while considering the moderating role of e-trust and privacy concern with the application. An online survey was conducted to collect data from the consumers, obtaining 405 valid samples which were analyzed using multiple regression to test the conceptual model of this study. The findings support that flow experience in mobile apps increases consumes intention to use, which is a significant predictor for consumer loyalty for services availed through mobile apps. This study provides insights for the marketers to build the flow in the mobile apps with interactive features, aesthetic design and ease of use to drive for continued intention to use and loyalty.

scholarly journals Healthcare system maturity for integrated care: results of a Swiss nationwide survey using the SCIROCCO tool

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041956
Author(s):  
Isabelle Peytremann-Bridevaux ◽  
Séverine Schusselé Filliettaz ◽  
Peter Berchtold ◽  
Michelle Grossglauser ◽  
Andrea Pavlickova ◽  
...  
Keyword(s):  
Public Health ◽  
Integrated Care ◽  
Healthcare System ◽  
National Level ◽  
Nationwide Survey ◽  
Primary Outcome Measure ◽  
Professional Activity ◽  
Maturity Model ◽  
Healthcare Profession ◽  
French Speaking

ObjectivesTo assess the maturity of the Swiss healthcare system for integrated care and to explore whether this maturity varied according to several variables.DesignA Swiss nationwide individual electronic survey in November 2019.Setting and populationStakeholders identified via lists of the Swiss Forum for Integrated Care and of the integrated care unit of the Swiss Federal Office of Public Health, and representatives of 26 cantonal public health departments, were invited to participate.Primary outcome measureThe outcome was the maturity of the Swiss healthcare system for integrated care, measured with the Scaling Integrated Care in Context maturity model tool (SCIROCCO tool), which comprises 12 dimensions and questions rated on a 6-point scale.AnalysisUnivariate analyses were first performed, followed by bivariate analyses, to find out whether maturity varied according to working linguistic region, healthcare profession, main domain of professional activity, implication in integrated care, attitude towards integrated care and attitude towards the Swiss healthcare system.ResultsThe 642 respondents were 53.7 years on average, 42.5% were women, 60.0% and 20.7% worked in the German and French-speaking parts of Switzerland, respectively. Overall, the maturity of the Swiss healthcare system for integrated care was evaluated as low, with dimension means ranging from 1.0 (±1.0) for the ‘Funding’ dimension to a maximum of 2.7 (±1.1) for ‘eHealth Services’. Results only varied according to the working linguistic region.ConclusionsResults highlight a limited maturity of the Swiss healthcare system for integrated care, as assessed at a national level by a large and varied number of healthcare stakeholders. They represent important information for the further development of integrated care in Switzerland, and should help identify areas requiring attention for a successful transformation of the Swiss healthcare system towards more integrated care.

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