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Covid-19 crisis overshadowing the health workforces' rights and resilience: A systematic review
No full textpurpose: In the time of the Covid-19 crisis, many physical, psychological, and spiritual difficulties are imposed on the front line staff and overshadow their rights, resilience and
retention. In addition, the loss of this important organizational resource imposes huge costs on the system. This study is a systematic review of the influential factors, policies, and strategies applied to defend the rights of healthcare staff and improve the resilience and retention of health system human resources in the Covid-19 crisis.
Design/methodology/approach: This systematic review was conducted in 2021. Data was collected by keyword search in Google Scholar, PubMed, Scopus, Web of Science, Science
direct, Magiran, SID and Irandoc databases until December 2021. In addition, the quality of the studies was evaluated by three experts using the Strobe checklist. The analysis used in this study to categorize the results was thematic analysis.
Findings: Factors that cause tension and injustice to employees and also strategies to overcome it and increase their resilience were classified into general categories according to their nature. Factors included: factors related to safety, economic and financial, staff characteristics, crisis management characteristics, organizational climate and working conditions. Existing strategies also fall into four categories of physical, psychological, and spiritual health promotion
strategies;
Organizational climate and work environment; Education and empowerment and economic and financial.
Practical implications: Considering the wide range of factors affecting the health workforce rights and resilience from psychological factors to economic and financial factors, health system policymakers and decision-makers should adopt policies and strategies that, while providing
adequate financial incentives, improve working and organizational conditions for the physical and psychological support of health workers.
Originality/value: This study is a systematic review of the factors that affect the health workforce rights and resilience of healthcare personnel during the Covid-19 crisis. On the other hand, the policies and strategies used in different countries to overcome the difficulties and
increase the resilience and retention of health workers have been summarized and can be used in other crises
بررسی رابطه بین کانون¬های کنترل سلامت و ترس از کووید-19 در دانشجویان دانشگاه علوم پزشکی قزوین- 1399
Get PDFمقدمه: تبیین ارتباط بین کانونهای کنترل سلامت و ترس از کووید19 در دانشجویان دانشگاه علوم پزشکی قزوین می تواند نقش مهمی جهت برنامه ریزی ارتقای سلامت معنوی دانشجویان در دوران همه گیری کووید 19 داشته باشد. تلاش برای ارتقای سلامت معنوی یکی از مهمترین راهبردهای تضمین سلامت همه جانبه در گروه هدف است.
روش کار: این مطالعه به صورت توصیفی-تحلیلی بر روی تعداد ۲۵۰ نفر از دانشجویان دانشگاه علوم پزشکی انجام شد. روش جمع آوری اطلاعات در این مطالعه پرسشنامه (پرسشنامه استاندارد کانونهای کنترل سلامت، پرسشنامه کوتاه ترس از کووید-19) بود. پاسخ ها ثابت و از قبل پيش بيني و طبقه بندي شده بودند و معمولا پرسش ها به صورت بسته بودند. در جمع آوری اطلاعات از دونفر از همکاران آموزش دیده استفاده شد. تجزیه وتحلیل داده ها با استفاده از نرم افزار SPSS نسخه ی 23 انجام شد. سطح معنی داری کلیه آزمون ها کمتر یا مساوی 0.05 در نظر گرفته شد.
يافته¬ها: میانگین سن شرکت کنندگان 08/23 سال بود. بین کانون کنترل درونی و شانس با جنسیت دانشجویان ارتباط آماري معنی دار بود، اما بین کانون کنترل قدرت دیگران و جنسیت ارتباط آماري معنیدار نبود. همچنین در بررسی ارتباط ترس از کووید 19 با منبع کنترل درونی (12/0-=β ) می توان نمرات اضطراب کرونا را در دانشجویان به صورت معکوس و منبع کنترل بیرونی دیگران (24/0=β ) و کنترل بیرونی شانس (28/0=β ) نیز توانستند به صورت مستقیم اضطراب کرونا را در دانشجویان تبیین نمایند که در هر سه سطح معنادار بود.
نتيجهگيري: توجه به ویژگیهای شخصیتی و منبع کنترل سلامت در مداخلات مرتبط با کاهش اضطراب کرونا با هدف ارتقاء سلامت روان دانشجویان به مشاوران و درمانگران پیشنهاد می شود.
کلمات کليدي: کانون های کنترل سلامت، ترس از کرونا، کووید-19، دانشجویان
Predicting the Incidence and Trend of Breast Cancer Using Time Series Analysis for 2007-2016 in Qazvin
Get PDFIntroduction: Breast cancer is the most common cancer and the second
leading cause of death in women worldwide. The aim of this study was to
analyze the trend and predict the incidence of breast cancer using time
series analysis.
Methods: In this study, data on breast cancer incidence in Qazvin province
between 2007 and 2016 were analyzed using time series analysis with
autoregressive integrated moving average (ARIMA) modeling to forecast
the future pattern. The Box-Jenkins time series model and its diagnosis and
evaluation methods were used to show the trend and forecasting the next
year new cancers. To describe and fit the appropriate models, R statistical
software version 3.6.3 was used.
Results: Between 2007 and 2016, a total number of 1229 new patients had
been registered (monthly mean [SD]: 10.24 [1.03]). Although the overall
trend in the raw number of new breast cancer cases has been increasing
over time, the change in observations over time has been increasing and
decreasing. According to Bartlett test results, the variances of the data were
not constant. Also, according to the results of Kolmogorov-Smirnov test,
breast cancer series data were not normal. Among the studied models,
ARIMA (1, 1, 1) was selected due to lower AIC criteria than other models,
and this model was selected as the final model for predicting breast cancer
for the next year. The confidence interval of the predicted values was
relatively narrow, which indicates the appropriateness of the final model in
the prediction.
Conclusion: Time series analysis is an efficient tool to model the past and
future data on the raw number of new cancer cases, and the goodness-of-fit
indicators of the model showed that the Box-Jenkins model is a reliable
model for fitting similar data.
Keywords: Breast Cancer, Seasonal Trend, Time Series Analysis, Ira
Latent infections, coronavirus disease 2019 and psychiatric disorders: The friend of my enemy
Get PDFRecent reports revealed an increased rate of hospitalization and mortality of
coronavirus disease 2019 (COVID-19) among patients with psychiatric disorders. On the other hand, there is a link between latent infections, including
Toxoplasma gondii, herpes simplex virus type 1 (HSV-1) and cytomegalovirus
(CMV) with psychiatric disorders. We individually assessed data regarding 1)
the mortality rate of COVID-19 among individuals with psychiatric disorders; 2)
the association of latent infections in COVID-19 patients and 3) the association
between latent infections and psychiatric disorders. We developed the hypothesis that latent infection could increase the risk of severe COVID-19 among
patients with psychiatric disorders. Cumulative evidence proposed that infection
with toxoplasmosis, CMV and HSV-1 could increase the risk of severe acute respiratory syndrome coronavirus 2 (SARS-Co-V2) infections among patients with
psychiatric disorders probably by induction of hyperinflammatory conditions.
These infections are also associated with hyperinflammation and T cell exhaustion, which has also been observed in both schizophrenia and COVID-19. This
hypothesis provides new insights into the role of latent infections in increasing
the mortality rates of COVID-19 among individuals with psychiatric disorders.Strategies for screening, early diagnosis and treatment of these infections could
be recommended for COVID-19 patients with a background of psychiatric
disorders
