Sources of functioning, symptoms of trauma, and psychological distress: A cross-sectional study with Palestinian health workers operating in West Bank and Gaza strip.

2020 ◽  
Vol 90 (6) ◽  
pp. 751-759
Author(s):  
Guido Veronese ◽  
Alessandro Pepe ◽  
Wafaa Alzaanin ◽  
Hala Shoman
Keyword(s):  
Psychological Distress ◽  
Health Workers ◽  
West Bank ◽  
Gaza Strip ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
West Bank And Gaza

scholarly journals Psychological distress among mountainous farmers in Vietnam: a cross-sectional study of prevalence and associated factors

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e038490
Author(s):  
Men Thi Hoang ◽  
Khanh Nam Do ◽  
Hai Quang Pham ◽  
Cuong Tat Nguyen ◽  
Giang Hai Ha ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Health Information ◽  
Associated Factors ◽  
Health Workers ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Sectional Study ◽  
Cross Sectional ◽  
Major Health Problem ◽  
Distress Scale

BackgroundPsychological distress has been known as a major health problem among farmers across the world. In Vietnam, approximately 50% of farmers have lived in rural and mountainous areas. Yet, little has been known about how psychological distress impacts mountainous farmers’ health.ObjectivesThis study aimed to examine the prevalence and risk factors related to psychological distress among mountainous farmers in Vietnam.Design and settingA cross-sectional study was performed from August to September 2018 in Moc Chau district, Vietnam. A structured questionnaire and face-to-face interviews were used for data collection.ParticipantsA random sample of 197 farmers aged at least 18 years, spoke Vietnamese, was not suffering from severe diseases and residing in Moc Chau at the time of the survey were recruited.Primary and secondary outcome measuresThe Kessler Psychological Distress Scale (K6) was employed to measure psychological distress. The tobit and logistic regressions were applied to indicate associated factors.ResultsThe prevalence of psychological distress was 38.2% (95% CI 31.3% to 45.5%). Having a greater comorbidities (OR=6.17; 95% CI 1.44 to 26.43), drinking alcohol (OR=3.86; 95% CI 1.02 to 14.59) and obtaining health information from health workers (OR=3.77; 95% CI 1.22 to 11.66) were positively associated with the prevalence of psychological distress. By contrast, being overweight (OR=0.29; 95% CI 0.09 to 0.93), adopting books as the primary source of health information (OR=0.11; 95% CI 0.01 to 0.8), and receiving a higher number of home visits by community health workers (CHWs) (OR=0.38; 95% CI 0.14 to 0.99) were negatively associated with the prevalence of psychological distress.ConclusionThis study highlighted a high prevalence of psychological distress among mountainous farmers. Providing routine psychological and physical health screening, developing CHWs to provide clinical support and raising health awareness are critical implications for reducing psychological distress in this population.

scholarly journals Knowledge of ovarian cancer symptoms among women in Palestine: a national cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohamedraed Elshami ◽  
Areej Yaseen ◽  
Mohammed Alser ◽  
Ibrahim Al-Slaibi ◽  
Hadeel Jabr ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
West Bank ◽  
Gaza Strip ◽  
Cross Sectional Study ◽  
Good Knowledge ◽  
Knowledge Level ◽  
Sectional Study ◽  
The West ◽  
Cross Sectional ◽  
The Gaza Strip

Abstract Introduction Ovarian cancer (OC) is often diagnosed at advanced stages. This study aimed to assess the Palestinian women’s knowledge about OC symptoms and determine the factors associated with having good knowledge. Methods A cross-sectional study was conducted from July 2019 to March 2020 in the two main areas of Palestine: the West Bank and Jerusalem as well as the Gaza Strip. A translated-into-Arabic version of the validated OC awareness measure (OCAM) was utilized for data collection. Stratified convenience sampling was used to recruit adult women attending hospitals, primary healthcare centers, and public spaces at 11 governorates. The knowledge level was categorized into three categories based on the number of symptoms recognized: poor (0 to 4), fair (5 to 8), and good (9 to 11). Results Of 6095 approached, 5618 participants completed the Arabic OCAM (response rate = 92.1%).A total of 5411 questionnaires were included in the analysis: 2278 from the Gaza Strip and 3133 from the West Bank and Jerusalem. Participants living in the West Bank and Jerusalem were older, of higher monthly income, and with more chronic diseases than those living in the Gaza Strip. The most frequently identified symptoms were ‘extreme generalized fatigue’ (n = 3821, 70.6%), ‘unexplained weight loss’ (n = 3607, 66.7%), and ‘increased abdominal size on most days’ (n = 3252, 60.1%). On the other hand, the least recognized symptoms were ‘feeling full persistently’ (n = 1553, 28.7%) and ‘difficulty eating on most days’ (n = 1971, 36.4%). Only 943 participants (17.4%) displayed good knowledge of OC symptoms. Participants from the Gaza Strip had a higher likelihood than participants from the West Bank and Jerusalem to have a good level of knowledge (21.0% vs. 14.8%). Being married, knowing someone with cancer, and visiting hospitals were all associated with a higher likelihood of having good knowledge level. However, living in the West Bank and Jerusalem was associated with a lower likelihood of having good knowledge. Conclusion The overall knowledge of OC symptoms in this study was low. Educational interventions are needed to improve Palestinian women’s knowledge about OC symptoms.

scholarly journals Tired, Worried and Burned Out, but Still Resilient: A Cross-Sectional Study of Mental Health Workers in the UK during the COVID-19 Pandemic

2021 ◽  
Vol 18 (9) ◽  
pp. 4457
Author(s):  
Sofia Pappa ◽  
Joshua Barnett ◽  
Ines Berges ◽  
Nikolaos Sakkas
Keyword(s):  
Mental Health ◽  
Emotional Exhaustion ◽  
Organizational Support ◽  
Sleep Problems ◽  
Health Workers ◽  
Maslach Burnout Inventory ◽  
Cross Sectional Study ◽  
Mental Health Workers ◽  
Sectional Study ◽  
Cross Sectional

The burden of the COVID-19 pandemic on health systems and the physical and mental health of healthcare workers (HCWs) has been substantial. This cross-sectional study aims to assess the effects of COVID-19 on the psychological wellbeing of mental health workers who provide care to a vulnerable patient population that have been particularly affected during this crisis. A total of 387 HCWs from across a large urban mental health service completed a self-administered questionnaire consisting of socio-demographic, lifestyle and work-based information and validated psychometric scales. Depression and anxiety were measured using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale (GAD-7), respectively; sleep problems with the Athens Insomnia Scale (AIS); burnout with the Maslach Burnout Inventory (MBI); and resilience with the Resilience Scale-14 (RS-14). Multivariable logistic regression analysis was performed to determine potential mediating factors. Prevalence of burnout was notable, with 52% recording moderate/severe in Emotional Exhaustion, 19.5% moderate/severe in Depersonalisation, and 55.5% low/moderate Personal Accomplishment. Over half of all respondents (52%) experienced sleep problems; the presence of depressive symptoms was a significant predictor of insomnia. An increase in potentially harmful lifestyle changes, such as smoking, alcohol consumption and overeating was also observed. However, high Resilience was reported by 70% of the samples and the importance of this is highlighted. Female gender was associated with increased levels of depression and emotional exhaustion while those with a history of mental health conditions were most at risk of affective symptoms, insomnia, and burnout. Overall, our study revealed considerable levels of psychological distress and maladaptive coping strategies but also resilience and satisfaction with organizational support provided. Findings can inform tailored interventions in order to mitigate vulnerability and prevent long-term psychological sequelae.

scholarly journals Competency of health workers in detecting and managing gestational hypertension, pre-eclampsia, severe pre-eclampsia and eclampsia during antenatal check-ups in primary care health facilities in Bangladesh: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e046638
Author(s):  
Sk Masum Billah ◽  
Abdullah Nurus Salam Khan ◽  
S M Rokonuzzaman ◽  
Nafisa Lira Huq ◽  
Marufa Aziz Khan ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Workers ◽  
Gestational Hypertension ◽  
Cross Sectional Study ◽  
P Value ◽  
Sectional Study ◽  
Hypertensive Disorders Of Pregnancy ◽  
Cross Sectional ◽  
Hypertensive Disorders ◽  
Care Facilities

Study objectiveTo evaluate the competency of trained health workers in detecting and managing hypertensive disorders of pregnancy during routine antenatal check-ups (ANCs) at primary care facilities in Bangladesh.Study design and settingsCross-sectional study; conducted in 26 primary care facilities.Outcome measuresAccurate diagnosis of the hypertensive disorders of pregnancy.MethodIn total 1560 ANC consultations provided by primary health workers, known as Family Welfare Visitors (FWVs), were observed using a structured checklist between October 2017 and February 2018. All consultations were reassessed by study physicians for validation.ResultOf the ‘true’ cases of gestational hypertension (n=32), pre-eclampsia (n=29) and severe pre-eclampsia (n=16), only 3%, 7% and 25%, respectively, were correctly diagnosed by FWVs. Per cent agreement for the diagnosed cases of any hypertensive disorders of pregnancy was 9% and kappa statistics was 0.50 (p value 0.0125). For identification of any hypertensive disorders by FWVs, sensitivity and positive predictive values were 14% and 50%, respectively. There was a moderate positive correlation between the blood pressure measurements taken by FWVs and study physicians. Only 27% of those who had ‘some protein’ in urine were correctly identified by FWVs. Women diagnosed with any of the hypertensive disorders of pregnancy by FWVs were more likely to be counselled on at least one danger sign of pre-eclampsia (severe headache, blurring of vision and upper abdominal pain) than those without any such diagnosis (41% vs 19%, p value 0.008). All four cases of severe pre-eclampsia diagnosed by FWVs were given a loading dose of intramuscular magnesium sulphate and three among them were referred to a higher facility.ConclusionThe FWVs should be appropriately trained on risk assessment of pregnant women with particular emphasis on accurately assessing the diagnostic criteria of hypertensive disorders of pregnancy and its management.

scholarly journals Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Psychological Distress ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
The Neural Network ◽  
Significant Difference ◽  
Total Data

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

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