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

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.

scholarly journals Continuing medical education and work commitment among rural healthcare workers: a cross-sectional study in 11 western provinces in China

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e037985
Author(s):  
Jinlin Liu ◽  
Ying Mao
Keyword(s):  
Healthcare Workers ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Turnover Intent ◽  
Healthcare Organisation ◽  
Work Commitment ◽  
Marriage Education ◽  
Rural Healthcare ◽  
Significant Positive Association ◽  
Cross Sectional

AbstractObjectivesContinuing medical education (CME) and work commitment are important for rural healthcare workers (RHWs) and rural medical work. The significant association between continuing education and work commitment has been reported in many studies from several different industries. However, very few studies have analysed the association of CME with work commitment among healthcare workers, let alone among RHWs. This study aimed to identify the significance of CME for the work commitment of RHWs (doctors and nurses) in China.Design and settingThe cross-sectional study interviewed RHWs from 11 western provinces in China.ParticipantsIn total, 4118 RHWs, consisting of 2490 doctors and 1628 nurses who were working clinically, were included in the study.Primary outcome measuresWork commitment (ie, the relative importance of work to one’s sense of self) focussing on the affective component was the dependent variable, and it included four subdomains: pride, concern, and dedication, extracted by exploratory factor analysis of a 5-point Likert scale, and turnover intent, measured by a dichotomous question. CME (ie, a variety of educational and training activities to maintain, develop or increase knowledge, skills and professional performance and relationships) was the independent variable, including three subdomains: opportunity, participation and expectation, measured by three dichotomous questions.ResultsOf the 4118 respondents, 91.2% reported insufficient opportunities for CME, 21.3% had never participated in CME and 83.3% had a high expectation of CME. 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 30.6% presented turnover intent. After adjusting for gender, age, marriage, education, technical title, income and type of rural healthcare organisation, the multivariate analyses suggested that there was a significant positive association between CME and work commitment among RHWs. RHWs who had a significant high-level work commitment were those who reported a sufficient opportunity for CME (β and 95% CI for pride in, concern for and dedication to work: 0.33, 0.23 to 0.43; 0.19, 0.09 to 0.28; and 0.25, 0.15 to 0.35), had participated in CME (β and 95% CI for pride in, concern for and dedication to work: 0.11, 0.04 to 0.19; 0.09, 0.02 to 0.15; and 0.10, 0.03 to 0.17) and had a high expectation of CME (β and 95% CI for pride in, concern for and dedication to work: 0.22, 0.15 to 0.30; 0.21, 0.13 to 0.28; and 0.28, 0.20 to 0.36), and having sufficient opportunities for CME significantly increased the odds of having no turnover intent (OR and 95% CI: 1.70, 1.26 to 2.28). Age, marriage, education, technical title, income and type of rural healthcare organisation were significantly associated with the work commitment of RHWs. Differences were observed between rural doctors and nurses in the association of CME with work commitment.ConclusionsCME has a significant positive association with the work commitment of RHWs in China. RHWs’ work commitment should be further improved in future rural health workforce management. In addition, governments, healthcare organisations and professional associations should establish a professional and complete CME system in China to provide sufficient opportunities for CME for RHWs, encourage them to participate and meet their expectations.

scholarly journals Burnout of Healthcare Workers amid the COVID-19 Pandemic: A Japanese Cross-Sectional Survey

2021 ◽  
Vol 18 (5) ◽  
pp. 2434
Author(s):  
Yoshito Nishimura ◽  
Tomoko Miyoshi ◽  
Hideharu Hagiya ◽  
Yoshinori Kosaki ◽  
Fumio Otsuka
Keyword(s):  
Healthcare Workers ◽  
Healthcare Professionals ◽  
Healthcare Delivery ◽  
General Medicine ◽  
Maslach Burnout Inventory ◽  
University Hospital ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Past

The coronavirus disease 2019 (COVID-19) global pandemic has drastically changed how we live and work. Amid the prolonged pandemic, burnout of the frontline healthcare professionals has become a significant concern. We conducted a cross-sectional survey study to provide data about the relationship between the COVID-19 pandemic and the prevalence of burnout in healthcare professionals in Japan. Healthcare workers in a single Japanese national university hospital participated in the survey, including basic demographics, whether a participant engaged in care of COVID-19 patients in the past 2 weeks and the Maslach Burnout Inventory. Of those, 25.4% fully answered the survey; 33.3% were doctors and 63.6% were nurses, and 36.3% engaged in care of COVID-19 patients in the past 2 weeks. Compared to those belonging to General Medicine, those in Emergency Intensive Care Unit were at higher risk of burnout (odds ratio (OR), 6.7; 95% CI, 1.1–42.1; p = 0.031). Of those who engaged in care of COVID-19 patients, 50% reported burnout while 6.1% did not (OR 8.5, 95% CI; 1.3–54.1; p = 0.014). The burnout of healthcare workers is a significant concern amid the pandemic, which needs to be addressed for sustainable healthcare delivery.

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.

Influenza Vaccination of Healthcare Workers in the United States, 1989-2002

2006 ◽  
Vol 27 (3) ◽  
pp. 257-265 ◽  
Author(s):  
Frances J. Walker ◽  
James A. Singleton ◽  
Pengjun Lu ◽  
Karen G. Wooten ◽  
Raymond A. Strikas
Keyword(s):  
United States ◽  
Influenza Vaccination ◽  
Healthcare Workers ◽  
Pneumococcal Vaccination ◽  
The United States ◽  
Hepatitis B Vaccination ◽  
Cross Sectional ◽  
Factors Associated ◽  
The Past ◽  
History Of

Objectives.We sought to estimate influenza vaccination coverage among healthcare workers (HCWs) in the United States during 1989-2002 and to identify factors associated with vaccination in this group. The Advisory Committee on Immunization Practices (ACIP) recommends annual influenza vaccination for HCWs to reduce transmission of influenza to patients at high risk for serious complications of influenza.Design.Analysis of cross-sectional data from 1989-2002 surveys conducted by the National Health Interview Survey (NHIS). The outcome measure was self-reported influenza vaccination in the past 12 months. Bivariate and multivariate analysis of 2002 NHIS data.Setting.Household interviews conducted during 1989-2002, weighted to reflect the noninstitutionalized, civilian US population.Participants.Adults aged 18 years or older participated in the study. A total of 2,089 were employed in healthcare occupations or settings in 2002, and 17,160 were employed in nonhealthcare occupations or settings.Results.The influenza vaccination rate among US HCWs increased from 10.0% in 1989 to 38.4% in 2002, with no significant change since 1997. In a multivariate model that included data from the 2002 NHIS, factors associated with a higher rate of influenza vaccination among HCWs aged 18-64 years included age of 50 years or older (odds ratio [OR], 1.6; 95% confidence interval [CI], 1.1-2.1), hospital employee status (OR, 1.5; 95% CI, 1.2-1.9), 1 or more visits to the office of a healthcare professional in the past 12 months (OR, 1.5; 95% CI, 1.1-2.2), receipt of employer-provided health insurance (OR, 1.5; 95% CI, 1.1-2.1), a history of pneumococcal vaccination (OR, 3.9; 95% CI, 2.5-6.1), and history of hepatitis B vaccination (OR, 1.9; 95% CI, 1.4-2.4). Non-Hispanic black persons were less likely to be vaccinated (OR, 0.6; 95% CI, 0.5-0.9) than non-Hispanic white persons. There were no significant differences in vaccination levels according to HCW occupation category.Conclusions.Influenza immunization among HCWs reached a plateau during 1997-2002. New strategies are needed to encourage US HCWs to receive influenza vaccination to prevent influenza illness in themselves and transmission of influenza to vulnerable patients.

Use of Five Point Du Pont Model and Regression Tools to Study Information Technology Sector of India

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Kartik Sachdev ◽  
Arushi Jamaiyar
Keyword(s):  
Regression Analysis ◽  
Point Model ◽  
It Industry ◽  
Cross Sectional ◽  
Return On Equity ◽  
Technology Sector ◽  
The Past ◽  
Industry Standards ◽  
The Usa ◽  
Sectional Analysis

This paper specifically concentrates on 5-point Du Pont analysis of the Indian IT software industry. Step by step development of 5-point model from the initial 2-point model is discussed. Trend of the industry over the past eight years is analysed and the effect of recession is studied using the time series analysis. Cross sectional analysis has been performed to discuss the significant focus points of different companies and these have been benchmarked with industry standards. Also, regression analysis has been performed to comprehend the relative impact of the five ratios on return on equity. Finally, using regression analysis, Indian IT industry is compared with IT industry of the USA and the differentiating factors are examined.

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

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.

scholarly journals Associations between diet and mental health using the 12-item General Health Questionnaire: cross-sectional and prospective analyses from the Japan Multi-Institutional Collaborative Cohort Study

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Naoki Choda ◽  
Kenji Wakai ◽  
Mariko Naito ◽  
Nahomi Imaeda ◽  
Chiho Goto ◽  
...  
Keyword(s):  
Mental Health ◽  
Fatty Acids ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Dairy Products ◽  
General Health Questionnaire ◽  
Cross Sectional ◽  
The Past

Abstract Background Mental health has become a major public health issue worldwide. Biological and epidemiological studies suggest diet has a role in the prevention or cure of mental disorders. However, further research is required to elucidate the relationship between diet and mental health. This study aimed to investigate associations between dietary intake of nutrients (macronutrients, vitamins, calcium, and fatty acids) and food groups (fish, meat and chicken, dairy products, and vegetables) and mental health among middle-aged Japanese in cross-sectional and prospective studies. Methods In total, 9298 men and women that participated in two areas of the Japan Multi-Institutional Collaborative Cohort Study were eligible for analysis at the baseline (cross-sectional) survey. Of these, 4701 participants were followed for about 5 years and included in the follow-up (prospective) analysis. The 12-item General Health Questionnaire (GHQ) was used to assess participants’ general mental health status over the past several weeks. The average intake of 46 foods over the past year was assessed by a validated food frequency questionnaire. We also evaluated lifestyle and medical factors using a self-administered questionnaire. A cross-sectional logistic regression analysis was performed to estimate odds ratios for a GHQ score ≥ 4 (poor mental health) according to dietary intake of foods/nutrients at baseline. The prospective study used baseline dietary and lifestyle factors and GHQ scores at follow-up. Results The cross-sectional logistic regression analysis showed vegetables, protein, calcium, vitamin D, carotene and n-3 highly-polyunsaturated fatty acids were inversely associated with a GHQ score ≥ 4. On the other hand, mono-unsaturated fatty acids showed a positive association with higher GHQ score. The prospective logistic regression analysis found dairy products, calcium, vitamin B2, and saturated fatty acids were inversely correlated with a GHQ score ≥ 4. Calcium was associated with GHQ scores in both the cross-sectional and follow-up studies. In the follow-up study, the multivariable-adjusted odds ratio for a GHQ score ≥ 4 was 0.71 (95% confidence interval, 0.55–0.92) for the highest versus lowest quartiles of calorie-adjusted dietary calcium intake. Conclusion Consuming particular nutrients and foods, especially calcium and dairy products, may lead to better mental health in Japanese adults.

scholarly journals The relative incidence of COVID-19 in healthcare workers versus non-healthcare workers: evidence from a web-based survey of Facebook users in the United States

2021 ◽  
Vol 4 ◽  
pp. 174
Author(s):  
Abraham D. Flaxman ◽  
Daniel J. Henning ◽  
Herbert C. Duber
Keyword(s):  
United States ◽  
Incidence Rate ◽  
Healthcare Workers ◽  
The United States ◽  
Cross Sectional ◽  
Web Based ◽  
Relative Incidence ◽  
The Past ◽  
Exposure Variable ◽  
History Of

Background: Healthcare workers are at the forefront of the COVID-19 pandemic and it is essential to monitor the relative incidence rate of this group, as compared to workers in other occupations. This study aimed to produce estimates of the relative incidence ratio between healthcare workers and workers in non-healthcare occupations. Methods: Analysis of cross-sectional data from a daily, web-based survey of 1,822,662 Facebook users from September 8, 2020 to October 20, 2020. Participants were Facebook users in the United States aged 18 and above who were tested for COVID-19 because of an employer or school requirement in the past 14 days. The exposure variable was a self-reported history of working in healthcare in the past four weeks and the main outcome was a self-reported positive test for COVID-19. Results: On October 20, 2020, in the United States, there was a relative COVID-19 incidence ratio of 0.73 (95% UI 0.68 to 0.80) between healthcare workers and workers in non-healthcare occupations. Conclusions: In fall of 2020, in the United States, healthcare workers likely had a lower COVID-19 incidence rate than workers in non-healthcare occupations.

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