POSSIBILITIES OF ONLINE SURVEYS USING CAWI TECHNOLOGY FOR ASSESSING REPRODUCTIVE HEALTH

2021 ◽  
Author(s):  
S.V. Komarova ◽  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Reproductive Health ◽  
Health Risk ◽  
Digital Technology ◽  
Online Survey ◽  
National Strategy ◽  
Online Testing ◽  
Online Surveys ◽  
High Prevalence

Abstract: One of the key elements of any national strategy nowadays is the implementation of digital technology in health care and research. The purpose of this study is to apply online testing capabilities to assess women's reproductive health. An online survey (CAWI) was conducted with a set of respondents using river-sampling technology (681 people). A high prevalence of lifestyle-related health risk factors as well as negative conditions of premenstrual and menopausal syndromes was revealed. The widespread use of preventive programs, including the use of digital solutions, will preserve the reproductive health of women.

scholarly journals Comparison of prevalence and risk factors of somatization between Chinese health care workers and non-health care workers during COVID-19 outbreak

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiuli Song ◽  
Yongjie Zhou ◽  
Wenwang Rao ◽  
Xiangyang Zhang
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Care Workers ◽  
Online Survey ◽  
Medical Service ◽  
Multiple Logistic Regression Analysis ◽  
Related Factors ◽  
Dimension Score ◽  
Care Workers ◽  
High Prevalence

Abstract Background This study aimed to compare prevalence and risk factors of somatization (SOM) between health care workers and non-health care workers during COVID-19 outbreak in China. Methods From 14 February to 29 March 2020, an online survey was performed in both 605 health care workers and 1151 non-health care workers. Based on the somatization dimension score of the Symptom Checklist-90, participants were divided into non-SOM group and SOM group. Results Health care workers had higher prevalence rate of SOM (p < 0.001) than non-health care workers, with an OR of 1.70 (95% CI, 1.22–2.36, p = 0.002). Multiple logistic regression analysis revealed that in non-health care workers, the risk factors of SOM included other ethnicities, insomnia, and suicide, while in health care workers, the risk factors included working 6–8 h per day, and working ≥10 h per day during COVID-19 outbreak. Conclusions Our research suggests that both non-health care workers and health care workers have a relatively high prevalence of somatization. However, the related factors for somatization in both groups are significantly different, showing that medical service-related factors are associated with somatization in health care workers, while demographic and clinical factors are associated with somatization in non-health care workers.

scholarly journals Comparison of prevalence and risk factors of somatization between Chinese health care workers and non-health care workers during COVID-19 outbreak

2021 ◽  
Author(s):  
Xiuli Song ◽  
Yongjie Zhou ◽  
Wenwang Rao ◽  
Xiangyang Zhang
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Care Workers ◽  
Online Survey ◽  
Medical Service ◽  
Multiple Logistic Regression Analysis ◽  
Related Factors ◽  
Dimension Score ◽  
Care Workers ◽  
High Prevalence

Abstract Background: This study aimed to compare prevalence and risk factors of somatization (SOM) between health care workers and non-health care workers during COVID-19 outbreak in China. Methods: From 14 February to 29 March 2020, an online survey was performed in both 605 health care workers and 1151 non-health care workers. Based on the somatization dimension score of the Symptom Checklist-90, participants were divided into non-SOM group and SOM group. Results: Health care workers had higher prevalence rate of SOM (p < 0.001) than non-health care workers, with an OR of 1.70 (95% CI: 1.22–2.36, p = 0.002). Multiple logistic regression analysis revealed that in non-health care workers, the risk factors of SOM included other ethnicities, insomnia, and suicide, while in health care workers, the risk factors included working 6-8 hours per day, and working ≥10 hours per day during COVID-19 outbreak. Conclusions: Our research suggests that both non-health care workers and health care workers have a relatively high prevalence of somatization. However, the related factors for somatization in both groups are significantly different, showing that medical service-related factors are associated with somatization in health care workers, while demographic and clinical factors are associated with somatization in non-health care workers.

Results of a Survey of Cardiovascular Risk Factor Prevalence Amongst Health Care Workers

2000 ◽  
Vol 45 (3) ◽  
pp. 84-85 ◽  
Author(s):  
S.R. McEwan ◽  
N.G. Dewhurst ◽  
F. Daly ◽  
C.D. Forbes ◽  
J.J.F. Belch
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Cardiovascular Risk ◽  
Health Care Workers ◽  
Risk Profile ◽  
Royal Infirmary ◽  
Cardiovascular Risk Profile ◽  
Risk Factor Prevalence ◽  
Care Workers ◽  
High Prevalence

Summary analyses of screening data were used to ascertain the cardiovascular risk profile in a sample of health care workers in Scotland. A sample of NHS staff (298 women and 78 men) were screened during visits to Perth Royal Infirmary (PRI) in 1996 and 1997. Comparisons were made within subsets and with previous screening studies. Health care workers have been a neglected component of the workforce for receiving education about risk factors. The high prevalence of smokers found in this sample should be a cause for concern.

scholarly journals Cytomegalovirus infection and reproductive health of women

2016 ◽  
Vol 65 (4) ◽  
pp. 24-33 ◽  
Author(s):  
Natalia R. Belyaeva
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Reproductive Health ◽  
Cytomegalovirus Infection ◽  
Near Miss ◽  
Pregnancy And Childbirth ◽  
Quality Of Medical Care ◽  
Pregnancy And Birth ◽  
Main Factor

The article presents material about critical states in obstetric and gynecologic practice (“near miss”), obtained on the basis of their own research, as well as the data of domestic and foreign authors. It is shown that the main factor determining the outcome of the pregnancy and birth, is the quality of medical care provided to the woman. The characteristics of “near miss”, indicated the risk factors for its occurrence. A measure of the health care until serious complications of pregnancy and childbirth, as well as possible ways to reduce the frequency of their development.

scholarly journals Health Risk Factors And Health Care Systems In Latin America And The Caribbean: A Cross-Sectional Multiple Regression And ANOVA Analysis

2014 ◽  
Vol 5 (2) ◽  
pp. 117-128
Author(s):  
Rina Samant ◽  
Sonia Samant
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Life Expectancy ◽  
Health Risk ◽  
Child Mortality ◽  
Health Care Systems ◽  
Health Risk Factors ◽  
Care Systems ◽  
The Caribbean ◽  
Per Capita

The purpose of this research is to examine the effect of health risk factors and health care systems on child mortality and life expectancy in Latin America and the Caribbean (LAC). Cross-sectional multiple regression and Analysis of Variance (ANOVA) are used to study the association between health risk factors such as incidence of tuberculosis and diabetes, and health care systems such as number of hospital beds per capita, and number of physicians per capita on life expectancy and child mortality. Data are obtained from the World Bank. For the purpose of this study, the LAC region is defined as the area from Mexico to the southern end of South America, as well as islands in the Caribbean Sea and the Gulf of Mexico. The conclusions of the study are that higher life expectancy is associated with higher per capita incomes and health expenditures. On the other hand, higher child mortality is associated with greater prevalence of communicable diseases and poor maternal pre-natal conditions. The macro policy implication is to focus on economic development and health care expenditure. The micro policy implication is to allocate more resources for maternal care, preventive care and eradication of communicable diseases. 

Masculinity Constructs as Protective Buffers and Risk Factors for Men’s Health

2013 ◽  
Vol 8 (2) ◽  
pp. 110-120 ◽  
Author(s):  
Ronald F. Levant ◽  
David J. Wimer
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Behaviors ◽  
Online Survey ◽  
Community Dwelling ◽  
Future Research ◽  
Care Practice ◽  
Health Care Practice ◽  
Complex Relationships ◽  
Traditional Masculinity

This study was designed to replicate the study of Levant, Wimer, and Williams (2011), which reported complex relationships between masculinity and health behaviors using a more diverse sample and updated measures. A sample of 589 college and community-dwelling men responded to an online survey consisting of five scales. Levant et al.’s (2011) study was partially replicated—some masculinity constructs were identified as protective buffers for some health behaviors and others as risk factors. The vast majority of the findings that were replicated were risk factors, suggesting that traditional masculinity is more of risk than a buffer, and occurred in the analyses involving Avoiding Anger and Stress and Avoiding Substance Use subscales, suggesting that these health behaviors are most closely associated with masculinity. The results are discussed in terms of limitations, suggestions for future research, and implications for health care practice.

Ten Modifiable Health Risk Factors and Employees’ Medical Costs—An Update

2020 ◽  
Vol 34 (5) ◽  
pp. 490-499 ◽  
Author(s):  
Ron Z. Goetzel ◽  
Rachel Mosher Henke ◽  
Michael A. Head ◽  
Richele Benevent ◽  
Kyu Rhee
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Promotion ◽  
Health Risk ◽  
Health Care Costs ◽  
Health Risks ◽  
Modifiable Risk Factors ◽  
Full Time ◽  
The Relationship ◽  
Care Costs

Purpose: To estimate the relationship between employees’ health risks and health-care costs to inform health promotion program design. Design: An observational study of person-level health-care claims and health risk assessment (HRA) data that used regression models to estimate the relationship between 10 modifiable risk factors and subsequent year 1 health-care costs. Setting: United States. Participants: The sample included active, full-time, adult employees continuously enrolled in employer-sponsored health insurance plans contributing to IBM MarketScan Research Databases who completed an HRA. Study criteria were met by 135 219 employees from 11 employers. Measures: Ten modifiable risk factors and individual sociodemographic and health characteristics were included in the models as independent variables. Five settings of health-care costs were outcomes in addition to total expenditures. Analysis: After building the analytic file, we estimated generalized linear models and conducted postestimation bootstrapping. Results: Health-care costs were significantly higher for employees at higher risk for blood glucose, obesity, stress, depression, and physical inactivity (all at P < .0001) than for those at lower risk. Similar cost differentials were found when specific health-care services were examined. Conclusion: Employers may achieve cost savings in the short run by implementing comprehensive health promotion programs that focus on decreasing multiple health risks.

scholarly journals Health-care workers with COVID-19 living in Mexico City: clinical characterization and related outcomes

2020 ◽  
Author(s):  
Neftali Eduardo Antonio-Villa ◽  
Omar Yaxmehen Bello-Chavolla ◽  
Arsenio Vargas-Vázquez ◽  
Carlos A Fermín-Martínez ◽  
Alejandro Márquez-Salinas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Mexico City ◽  
Health Care Workers ◽  
Ventilatory Support ◽  
Adverse Outcomes ◽  
Epidemiological Surveillance ◽  
Care Workers ◽  
High Prevalence

Abstract Background Health-care workers (HCWs) could be at increased occupational risk for SARS-CoV-2 infection. Information regarding prevalence and risk factors for adverse outcomes in HCWs is scarce in Mexico. Here, we aimed to explore prevalence of SARS-CoV-2, symptoms, and risk factors associated with adverse outcomes in HCWs in Mexico City. Methods We explored data collected by the National Epidemiological Surveillance System in Mexico City. All cases underwent real-time RT-PCR test. We explored outcomes related to severe COVID-19 in HCWs and the diagnostic performance of symptoms to detect SARS-CoV-2 infection in HCWs. Results As of July 5 th, 2020, 35,095 HCWs were tested for SARS-CoV-2 and 11,226 were confirmed (31.9%). Overall, 4,322 were nurses (38.5%), 3,324 physicians (29.6%), 131 dentists (1.16%) and 3,449 laboratory personnel and other HCWs (30.8%). After follow-up, 1,009 HCWs required hospitalization (9.00%), 203 developed severe outcomes (1.81%), and 93 required mechanical-ventilatory support (0.82%). Lethality was recorded in 226 (2.01%) cases. Symptoms associated with SARS-CoV-2 positivity were fever, cough, malaise, shivering, myalgias at evaluation but neither had significant predictive value. We also identified 341 asymptomatic SARS-CoV-2 infections (3.04%). Older HCWs with chronic non-communicable diseases, pregnancy, and severe respiratory symptoms were associated with higher risk for adverse outcomes. Physicians had higher risk for hospitalization and for severe outcomes compared with nurses and other HCWs. Conclusions We report a high prevalence of SARS-CoV-2 infection in HCWs in Mexico City. No symptomatology can accurately discern HCWs with SARS-CoV-2 infection. Particular attention should focus on HCWs with risk factors to prevent adverse outcomes and reduce infection risk.

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