Factors interfering with the microflora on hands: a regression analysis of samples from 465 healthcare workers

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.

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

Annals of the Academy of Medicine, Singapore ◽

10.47102/annals-acadmedsg.2020527 ◽

2021 ◽

Vol 50 (3) ◽

pp. 203-211 ◽

Cited By ~ 1

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.

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

Pulmonary Medicine ◽

10.1155/2012/291294 ◽

2012 ◽

Vol 2012 ◽

pp. 1-7 ◽

Cited By ~ 27

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.

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

10.1101/2020.10.29.20222430 ◽

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.

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COVID-19: Fear and Anxiety among Healthcare Workers in Saudi Arabia. A Cross-Sectional Study

INQUIRY The Journal of Health Care Organization Provision and Financing ◽

10.1177/00469580211025225 ◽

2021 ◽

Vol 58 ◽

pp. 004695802110252

Author(s):

Syed Fareed Mohsin ◽

Muhammad Atif Agwan ◽

Sameer Shaikh ◽

Ziyad Ahmad Alsuwaydani ◽

Saleh Ahmad AlSuwaydani

Keyword(s):

Logistic Regression ◽

Saudi Arabia ◽

Regression Analysis ◽

Healthcare Workers ◽

Multinomial Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Multinomial Logistic Regression Analysis ◽

Fear And Anxiety

The novel coronavirus (COVID-19) is an extremely contagious respiratory disease. It poses a serious threat to healthcare workers which may cause substantial degree of psychological distress. This study aimed to evaluate the level of fear and anxiety among healthcare workers. A cross sectional study was designed to collect data from healthcare workers in Saudi Arabia using an online questionnaire. A non-probability convenient sampling technique was used to collect the data from 1st August to 10th August 2020 with the exclusion of non-healthcare worker and general public. A 5-point Likert scale was used to evaluate the level of fear and anxiety. The data was analyzed by using Spss version 23 .The descriptive data were represented as frequencies and percentage. Multinomial logistic regression analysis was applied to control the confounding factors and assess the relationship between variables. Data analyzed 737 participants revealed that 10.7%, 73.5%, and 15.7% of HCWs had a mild, moderate, and severe degree of fear and anxiety respectively. The multinomial logistic regression analysis revealed that gender and specialty of the participants were significantly associated with moderate and severe anxiety level. This study demonstrates that two-third of the healthcare workers had a moderate risk of fear and anxiety. However, females participants found to have elevated fear and anxiety level. Social distancing has a major impact on social well-being therefore its important to address social support through a policy. Further studies are needed to explore the mental health condition of healthcare workers in order to develop evidence based strategies.

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Effect of servant leadership on the performance of a regional general hospital

Problems and Perspectives in Management ◽

10.21511/ppm.19(2).2021.40 ◽

2021 ◽

Vol 19 (2) ◽

pp. 507-518

Author(s):

Daswati ◽

Pricylia Chintya Dewi Buntuang ◽

Syahruddin Hattab ◽

Yoberth Kornelius

Keyword(s):

Regression Analysis ◽

Servant Leadership ◽

Hypothesis Testing ◽

Organizational Performance ◽

General Hospital ◽

Healthcare Workers ◽

Linear Regression Analysis ◽

Sampling Technique ◽

Hospital Performance ◽

Mean Value

Currently, leadership becomes the concern of studies in public organizations. However, studies on servant leadership and its impact on hospital performance are still limited. This study aims to identify the relationship and impact of servant leadership on organizational performance (hospital). A quantitative approach was used on a sample of 729 healthcare workers at the Undata Regional General Hospital in Palu. The sampling was based on the Slovin formula with an error rate of 5%, thus it involved 258 respondents. Further, the sample was selected using a random proportional sampling technique to represent each field in the hospital. The data were analyzed using descriptive statistics and simple linear regression analysis with hypothesis testing. The results of descriptive analysis on the servant leadership variable showed that the highest mean value is the item stating that leadership in the hospital has a thorough understanding of the organization and its goals. Meanwhile, the lowest is the item stating that leaders sacrifice their interests less to meet the needs of healthcare workers. In the organizational performance variable, the highest mean value is the item that states that healthcare workers can work effectively every working day, while the lowest is the item of patients complaining about healthcare procedures. Furthermore, the results of regression analysis through hypothesis testing showed that servant leadership has a significant effect on organizational performance of hospitals with a strong level of relationships.

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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 ◽

10.7759/cureus.21267 ◽

2022 ◽

Author(s):

Medha Mathur ◽

Anjana Verma ◽

Navgeet Mathur ◽

Yogesh Singhal ◽

Mukul Dixit ◽

...

Keyword(s):

Regression Analysis ◽

Initial Phase ◽

Healthcare Workers

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How does job mobility relate to work commitment among rural healthcare workers? a cross-sectional study in western China

BMC Health Services Research ◽

10.1186/s12913-021-07166-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Jinlin Liu ◽

Ying Mao ◽

Bin Zhu

Keyword(s):

Regression Analysis ◽

Healthcare Workers ◽

Job Mobility ◽

Healthcare Institution ◽

Hierarchical Level ◽

Turnover Intent ◽

Work Commitment ◽

Rural Healthcare ◽

Cross Sectional ◽

The Past

Abstract Background Rural healthcare workers (RHWs) are the core of the rural health system. The antecedents of turnover of RHWs have been well studied, but little is known about the consequences of job mobilities among RWHs. This study aimed to identify the association between job mobility and the work commitment of RHWs in China. Methods Based on a three-stage random sampling method, a cross-sectional survey was conducted in 11 western provinces in China. A total of 3783 RHWs, consisting of 2245 doctors and 1538 nurses, were included in our study. Confirmatory factor analysis, Pearson’s chi-squared test, one-way ANOVA, linear regression analysis, and binary logistic regression analysis were performed for data analyses. Results 46.3% of RHWs reported the experience of job mobility in the past. Work commitment of RHWs was not very high; specifically, the mean scores of pride in, concern for, and dedication to work were 3.54, 3.81, and 3.61 (out of a maximum of 5), respectively, and 29.9% presented turnover intent. RHWs’ overall experience of job mobility in the past was significantly associated with an increased odds of having the turnover intent. With respect to the last job mobilities of RHWs, the last job changes that occurred in the last 3 years, especially these lateral (i.e., job changes between two healthcare institutions at the same hierarchical level) and upward (i.e., job changes from a healthcare institution at a lower hierarchical level to current institution) mobilities, were significantly associated with a high level of work commitment (i.e., pride in, concern for, and dedication to work) among RHWs. However, the lateral mobilities in the last four to 5 years and the downward mobilities (i.e., job changes from a healthcare institution at a higher hierarchical level to current institution) 6 years ago or more significantly increased the odds of having turnover intent among RHWs, and RHWs whose last job changes were other mobilities (i.e., job changes from a non-healthcare institution to a healthcare institution) in the last four to 5 years reported had a significantly low level of pride in and concern for work and an increased odds of having the turnover intent. Conclusions The study suggests that the overall experience of job mobility in the past is a threat to RHWs’ work commitment to their current healthcare institutions. The honeymoon-hangover pattern exists in the association between a single job change and RHWs’ work commitment. Managers of rural healthcare institutions should pay more attention to these RHWs with the experience of job mobility to enhance their work commitment.

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