scholarly journals Factors associated with acceptance of a digital contact tracing application for COVID-19 in the Japanese working-age population

2021 ◽  
Author(s):  
Tomohiro Ishimaru ◽  
Koki Ibayashi ◽  
Masako Nagata ◽  
Seiichiro Tateishi ◽  
Ayako Hino ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Internet Survey ◽  
Contact Tracing ◽  
Full Time ◽  
Hand Disinfection ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Working Age ◽  
Working Age Population

Objective: This study aimed to determine factors associated with acceptance of a Digital Contact Tracing (DCT) app for Coronavirus Disease 2019 (COVID-19) in the Japanese working-age population. Methods: A cross-sectional study was performed for 27,036 full-time workers registered with an internet survey company during December 2020 in Japan. Results: The rate of downloading the DCT app was 25.1%. The DCT app was more likely to be accepted by people with married status, university graduation or above, higher income, and occupations involving desk work. Fear of COVID-19 transmission, wearing a mask, using hand disinfection, willingness to be vaccinated against COVID-19, and presence of an acquaintance infected with COVID-19 were also associated with a greater likelihood of adopting the app. Conclusions: The present findings have important implications for widespread adoption of DCT apps in working-age populations in Japan and elsewhere.

scholarly journals Industry and workplace characteristics associated with the downloading of a COVID-19 contact tracing app in Japan: a nation-wide cross-sectional study

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Tomohiro Ishimaru ◽  
Koki Ibayashi ◽  
Masako Nagata ◽  
Ayako Hino ◽  
Seiichiro Tateishi ◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Online Survey ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Contact Tracing ◽  
Company Size ◽  
Full Time ◽  
Sectional Study ◽  
Cross Sectional ◽  
Permanent Employees

Abstract Background To combat coronavirus disease 2019 (COVID-19), many countries have used contact tracing apps, including Japan’s voluntary-use contact-confirming application (COCOA). The current study aimed to identify industry and workplace characteristics associated with the downloading of this COVID-19 contact tracing app. Methods This cross-sectional study of full-time workers used an online survey. Multiple logistic regression analysis was used to evaluate the associations of industry and workplace characteristics with contact tracing app use. Results Of the 27,036 participants, 25.1% had downloaded the COCOA. Workers in the public service (adjusted odds ratio [aOR] = 1.29, 95% confidence interval [CI] 1.14–1.45) and information technology (aOR = 1.38, 95% CI 1.20–1.58) industries were more likely to use the app than were those in the manufacturing industry. In contrast, app usage was less common among workers in the retail and wholesale (aOR = 0.87, 95% CI 0.76–0.99) and food/beverage (aOR = 0.81, 95% CI 0.70–0.94) industries, but further adjustment for company size attenuated these associations. Workers at larger companies were more likely to use the app. Compared with permanent employees, the odds of using the app were higher for managers and civil servants but lower for those who were self-employed. Conclusions Downloading of COCOA among Japanese workers was insufficient; thus, the mitigating effect of COCOA on the COVID-19 pandemic is considered to be limited. One possible reason for the under-implementation of the contact tracing app in the retail and wholesale and food/beverage industries is small company size, as suggested by the fully adjusted model results. An awareness campaign should be conducted to promote the widespread use of the contact tracing app in these industries.

scholarly journals Factors Associated with Time Spent Performing Housework/Childcare by Fathers of Children Aged Under 12 Years: A Cross-Sectional Study in Japan

2020 ◽  
Vol 5 (3) ◽  
pp. 153-164
Author(s):  
Rina Matsubara ◽  
Naoko Hikita ◽  
Megumi Haruna ◽  
Emi Sasagawa ◽  
Kaori Yonezawa ◽  
...  
Keyword(s):  
Family Relationships ◽  
Online Survey ◽  
Setting Time ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Full Time ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Independent Variables

Objective: The objective of this study is to determine the factors associated with time spent performing housework/childcare by fathers of children under 12 years of age (preschool and elementary school children) in Japan. Methods: An online survey of employees and employers was conducted in 2017. Of the 7,796 total responses to the survey, those of 621 fathers of children aged 0–12 years were analyzed. Participants were divided into two groups: fathers of children aged 0–6 years, and fathers of children aged 7–12 years. Multiple logistic regression analysis was performed on the items for which there was a significant intergroup difference, setting time spent performing housework as the dependent variable and the survey items as the independent variables. Results: For fathers of children aged 0–6 years, working 40 hours or less per week and commuting for one hour or less were associated with more time spent performing housework/childcare. For fathers of children aged 7–12 years, working less than 40 hours a week, working from home more than once a week, and having spouses with full-time jobs were associated with more time spent performing housework/childcare. Conclusion: This study revealed the factors associated with the time spent by fathers of children under 12 in performing housework/childcare. As several of these factors cannot be altered by the fathers’ efforts alone, companies and society in general must endeavor to improve work styles to better suit the habits and preferences of fathers. This will promote work–life balance and create better family relationships.

scholarly journals Factors associated with consultation rates in general practice in England, 2013–2014: a cross-sectional study

2018 ◽  
Vol 68 (670) ◽  
pp. e370-e377 ◽  
Author(s):  
Toqir K Mukhtar ◽  
Clare Bankhead ◽  
Sarah Stevens ◽  
Rafael Perera ◽  
Tim A Holt ◽  
...  
Keyword(s):  
General Practice ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Practice Research ◽  
Clinical Practice Research Datalink ◽  
Full Time ◽  
Sectional Study ◽  
Full Time Equivalent ◽  
Cross Sectional ◽  
Factors Associated

BackgroundWorkload in general practice has risen during the last decade, but the factors associated with this increase are unclear.AimTo examine factors associated with consultation rates in general practice.Design and settingA cross-sectional study examining a sample of 304 937 patients registered at 316 English practices between 2013 and 2014, drawn from the Clinical Practice Research Datalink.MethodAge, sex, ethnicity, smoking status, and deprivation measures were linked with practice-level data on staffing, rurality, training practice status, and Quality and Outcomes Framework performance. Multilevel analyses of patient consultation rates were conducted.ResultsConsultations were grouped into three types: all (GP or nurse), GP, and nurse. Non-smokers consulted less than current smokers (all: rate ratio [RR] = 0.88, 95% CI = 0.87 to 0.89; GP: RR = 0.88, 95% CI = 0.87 to 0.89; nurse: RR = 0.91, 95% CI = 0.90 to 0.92). Consultation rates were higher for those in the most deprived quintile compared with the least deprived quintile (all: RR = 1.18, 95% CI = 1.16 to 1.19; GP: RR = 1.17, 95% CI = 1.15 to 1.19; nurse: RR = 1.13, 95% CI = 1.11 to 1.15). For all three consultation types, consultation rates increased with age and female sex, and varied by ethnicity. Rates in practices with >8 and ≤19 full-time equivalent (FTE) GPs were higher compared with those with ≤2 FTE GPs (all: RR = 1.26, 95% CI = 1.06 to 1.49; GP: RR = 1.36, 95% CI = 1.19 to 1.56).ConclusionThe analyses show consistent trends in factors related to consultation rates in general practice across three types of consultation. These data can be used to inform the development of more sophisticated staffing models, and resource allocation formulae.

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