scholarly journals Predictors and Perceptions of Healthcare Workers Regarding Vaccines Safety in the Initial Phase of COVID-19 Vaccination Drive in Western Part of India: A Regression Analysis

Cureus ◽  
2022 ◽  
Author(s):  
Medha Mathur ◽  
Anjana Verma ◽  
Navgeet Mathur ◽  
Yogesh Singhal ◽  
Mukul Dixit ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Initial Phase ◽  
Healthcare Workers

scholarly journals Factors Affecting Psychological Stress in Healthcare Workers with and without Chronic Pain: A Cross-Sectional Study Using Multiple Regression Analysis

Medicina ◽  
2019 ◽  
Vol 56 (1) ◽  
pp. 7
Author(s):  
Yuta Sakamoto ◽  
Takeru Oka ◽  
Takashi Amari ◽  
Satoshi Shimo
Keyword(s):  
Chronic Pain ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Healthcare Workers ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Made In

The authors did not realize the error made in the front matter in the proofreading phase [...]

scholarly journals COVID-19 vaccine confidence and hesitancy among healthcare workers: a cross-sectional survey from a MERS-CoV experienced nation

2020 ◽  
Author(s):  
Mazin Barry ◽  
Mohamad-Hani Temsah ◽  
Abdullah Alhuzaimi ◽  
Nurah Alamro ◽  
Ayman Al-Eyadhy ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Healthcare Workers ◽  
Vaccine Safety ◽  
Outcome Variable ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Validated Questionnaire ◽  
To Receive

AbstractObjectivesThis study aimed to identify COVID-19 vaccine perception, acceptance, confidence, hesitancy, and barriers among healthcare workers (HCW).MethodsAn online national cross-sectional pilot-validated questionnaire was self-administered by HCW in Saudi Arabia, a nation with MERS-CoV experience. The main outcome variable was HCW’s acceptance of COVID-19 vaccine candidates. The associated factors of vaccination acceptance were identified through a logistic regression analysis and the level of anxiety using generalized anxiety disorder 7.ResultOut of 1512 HCWs who completed the study questionnaire—944 (62.4%) women and 568 (37.6%) men—1058 (70%) were willing to receive COVID-19 vaccines. Logistic regression analysis revealed that male HCWs (ORa=1.551, 95% CI: 1.122–2.144), HCWs who believe in vaccine safety (ORa=2.151; 95% CI:1.708–2.708), HCWs who believe that COVID vaccines are the most likely way to stop the pandemic (ORa=1.539; 95% CI: 1.259–1.881), and HCWs who rely on Centers for Disease Control and Prevention website for COVID 19 updates (ORa=1.505, 95% CI: 1.125–2.013) were significantly associated with reporting willingness to be vaccinated. However, HCWs who believed vaccines were rushed without evidence-informed testing were found to be 60% less inclined to accept COVID-19 vaccines (ORa=0.394, 95% CI: 0.298– 0.522).ConclusionMost HCWs are willing to receive COVID-19 vaccines once available; yet, satisfactoriness of COVID-19 vaccination among HCWs is crucial because health professionals’ knowledge and confidence toward vaccines are important determining factors for their own vaccine acceptance and recommendation to their patients.

scholarly journals Psychosocial impact of the COVID-19 pandemic on paediatric healthcare workers

2021 ◽  
Vol 50 (3) ◽  
pp. 203-211 ◽  
Author(s):  
Angela HP Kirk ◽  
Shu-Ling Chong ◽  
Kai-Qian Kam ◽  
Weili Huang ◽  
Linda SL Ang ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Regression Analysis ◽  
Psychological Distress ◽  
Mental Health Professionals ◽  
Healthcare Workers ◽  
Psychological Intervention ◽  
National Level ◽  
Psychological Impact ◽  
Psychological Outcome

Introduction: Frontline healthcare workers (HCWs) exposed to coronavirus disease 2019 (COVID-19) are at risk of psychological distress. This study evaluates the psychological impact of COVID-19 pandemic on HCWs in a national paediatric referral centre. Methods: This was a survey-based study that collected demographic, work environment and mental health data from paediatric HCWs in the emergency, intensive care and infectious disease units. Psychological impact was measured using the Depression, Anxiety, Stress Scale-21. Multivariate regression analysis was performed to identify risk factors associated with psychological distress. Results: The survey achieved a response rate of 93.9% (430 of 458). Of the 430 respondents, symptoms of depression, anxiety and stress were reported in 168 (39.1%), 205 (47.7%) and 106 (24.7%), respectively. Depression was reported in the mild (47, 10.9%), moderate (76, 17.7%), severe (23, 5.3%) and extremely severe (22, 5.1%) categories. Anxiety (205, 47.7%) and stress (106, 24.7%) were reported in the mild category only. Collectively, regression analysis identified female sex, a perceived lack of choice in work scope/environment, lack of protection from COVID-19, lack of access to physical activities and rest, the need to perform additional tasks, and the experience of stigma from the community as risk factors for poor psychological outcome. Conclusion: A high prevalence of depression, anxiety and stress was reported among frontline paediatric HCWs during the COVID-19 pandemic. Personal psychoneuroimmunity and organisational prevention measures can be implemented to lessen psychiatric symptoms. At the national level, involving mental health professionals to plan and coordinate psychological intervention for the country should be considered.

scholarly journals The prevalence of common mental disorders among health care professionals during the COVID-19 pandemic at a tertiary Hospital in East Africa

2020 ◽  
Author(s):  
Hailu Abera Mulatu ◽  
Muluken Tesfaye ◽  
Esubalew Woldeyes ◽  
Tola Bayisa ◽  
Henok Fesseha ◽  
...  
Keyword(s):  
Health Care ◽  
Regression Analysis ◽  
Psychological Distress ◽  
Mental Disorders ◽  
Healthcare Workers ◽  
Common Mental Disorders ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
High Level

AbstractBackgroundCoronavirus disease 2019 (COVID-19) has resulted in unprecedented morbidity, mortality, and health system crisis leading to a significant psychological distress on healthcare workers (HCWs). The study aimed to determine the prevalence of symptoms of common mental disorders among HCWs during the COVID-19 pandemic at St. Paul’s Hospital, Ethiopia.MethodsA self-administered cross-sectional study was conducted to collect socio-demographic information and symptoms of mental disorders using validated measurement tools. Accordingly, PHQ-9, GAD-7, ISI, and IES-R were used to assess the presence of symptoms of depression, anxiety, insomnia, and distress, respectively. Chi-square test, non-parametric, and logistic regression analysis were used to detect risk factors for common mental disorders.ResultsA total of 420 healthcare workers participated in the survey. The prevalence of depression, anxiety, insomnia, and psychological distress was 20.2%, 21.9%, 12.4%, and 15.5% respectively. Frontline HCWs had higher scores of mental health symptoms than other health care workers. Logistic regression analysis showed that being married was associated with a high level of depression. Working in a frontline position was an independent factor associated with a high-level depression, anxiety, and psychological distress.LimitationsIt is a single-centre cross-sectional study and the findings may not be generalizable or reveal causality.

scholarly journals Delineating a Retesting Zone Using Receiver Operating Characteristic Analysis on Serial QuantiFERON Tuberculosis Test Results in US Healthcare Workers

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Wendy Thanassi ◽  
Art Noda ◽  
Beatriz Hernandez ◽  
Jeffery Newell ◽  
Paul Terpeluk ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Receiver Operating Characteristic ◽  
Healthcare Workers ◽  
Operating Characteristic ◽  
Receiver Operating Characteristic Analysis ◽  
Low Risk ◽  
Separation Point ◽  
Characteristic Analysis ◽  
Chi Square ◽  
Receiver Operating

Objective. To find a statistically significant separation point for the QuantiFERON Gold In-Tube (QFT) interferon gamma release assay that could define an optimal “retesting zone” for use in serially tested low-risk populations who have test “reversions” from initially positive to subsequently negative results.Method. Using receiver operating characteristic analysis (ROC) to analyze retrospective data collected from 3 major hospitals, we searched for predictors of reversion until statistically significant separation points were revealed. A confirmatory regression analysis was performed on an additional sample.Results. In 575 initially positive US healthcare workers (HCWs), 300 (52.2%) had reversions, while 275 (47.8%) had two sequential positive tests. The most statistically significant (Kappa = 0.48, chi-square = 131.0,P<0.001) separation point identified by the ROC for predicting reversion was the tuberculosis antigen minus-nil (TBag-nil) value at 1.11 International Units per milliliter (IU/mL). The second separation point was found at TBag-nil at 0.72 IU/mL (Kappa = 0.16, chi-square = 8.2,P<0.01). The model was validated by the regression analysis of 287 HCWs.Conclusion. Reversion likelihood increases as the TBag-nil approaches the manufacturer's cut-point of 0.35 IU/mL. The most statistically significant separation point between those who test repeatedly positive and those who revert is 1.11 IU/mL. Clinicians should retest low-risk individuals with initial QFT results < 1.11 IU/mL.

scholarly journals The Correlation of Social Media Activity and Engagement of a Health NGO with the Outcome of Fundraising Efforts During the COVID-19 Pandemic

2021 ◽  
pp. 148-154
Author(s):  
Aneesa Abdul Rashid ◽  
Mohamad Imran Idris ◽  
Nurul Syeefa Zulkiflee ◽  
Ahmad Yusuf Yahaya ◽  
Prishalini Ramesh
Keyword(s):  
Social Media ◽  
Medical Association ◽  
Initial Phase ◽  
Healthcare Workers ◽  
Medical Science ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Public ◽  
Medical Associations

Objective: The COVID-19 pandemic saw the involvement of many health non-governmental organisations (NGO) with volunteering work to help reduce the burden of healthcare workers (HCW). IMAM Response and Relief Team (IMARET) is one which is a chapter under the Islamic Medical Association of Malaysia (IMAM); which is also under the umbrella of the Federations of Islamic Medical Associations (FIMA). IMARET often aids HCWs during natural and manmade disasters to help reduce their burden during challenging times by providing manpower, equipment, and logistical assistance. IMARET utilizes social media (SM) for spreading information on their activities to the public, like the COVID-19 fundraising efforts. The objective of this research is to determine the correlation between their Facebook activities and fundraising outcome. Materials and Methods: This is a cross sectional study of Facebook posts and its engagement with Billplz, an online payment platform focused during the initial COVID-19 fundraising effort. Results and Discussion: During the study period, we report 346 Facebook posts with a median (IQR) of 8.00 (6.00,9.00) posts per day. As many as 4,823 donations, median (IQR) at RM34.50(18.75,86.00) was received per day. RM3425,50 (USD 830.52) (1369.00, 8376.25) was collected per day. ‘Organic Likes’ correlated significantly with the number of donations (r=0.419,p=0.006) and amount received (r=0.355,p=0.021). Both ‘Post Reach’ and ‘Shares’ significantly correlated with the number of donations (r=0.405,p=0.008)(r=0.515,p<0.01)and amount received (r=0.373,p=0.015) (r=0.453,p=0.003) respectively. Conclusion: The number of likes, reach and shares significantly correlated with the number and amount of donations received during the initial phase of the IMARET COVID-19 fundraising effort Bangladesh Journal of Medical Science Vol.20(5) 2021 p.148-154 

Biphasic Postnatal Umbilical Cord Shortening

2021 ◽  
pp. 109352662098425
Author(s):  
Elizabeth A Manci ◽  
Sejal Shah Alvarez ◽  
Steven B McClellan ◽  
Pamela Moore Campbell ◽  
Sandhya Dasaraju ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Umbilical Cord ◽  
Analysis Of Variance ◽  
Initial Phase ◽  
Second Phase ◽  
Rigor Mortis ◽  
Umbilical Cords ◽  
Cord Length ◽  
Over Time

Introduction Variations in postnatal length of refrigerated, unfixed umbilical cords were studied over time to elucidate natural changes and times of stability. Methods Length was measured in 132 cords following severance, repeated at varying timed intervals and studied by analysis of variance and regression analysis. Results Data show immediate rapid initial phase shortening (mean 4.2+/-3.9 cm SD); an interval of lengthening; stable length at hours 3-4 following severance, a slower second phase shortening (mean 1.5+/-0.7 cm SD) beginning at 5 hours and peaking at 12 hours; and gradual lengthening to stable length after 23 hours. Overall, there was a significant net mean decrease of 3.49+/-2.29 cm SD. Shortening was greatest for intact long cord segments (p=0.0001), as much as 11 cm. Two highly significant models for predicting umbilical cord length at delivery (OL) were determined using the post-delivery lengths (Length) measured at different times following delivery (Hours), as follows: At ≤ 3 hours following delivery: OL=1.02xLength cm+1.11xHours At >3 hours following delivery: OL=1.07xLength+0.44xHours-0.01x(Hours)2 Conclusion Cord lengths stabilized between hours 3-4 and after 23 hours following severance. Phase one shortening resembles vasoconstriction; phase two resembles rigor mortis. The models allow prediction of the original umbilical cord length at delivery, regardless of the time of measurement.

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