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Article ; Online: COVID-19 Vaccines Cost-Effectiveness Analysis

Atefeh Vaezi / Alipasha Meysamie

Vaccines, Vol 10, Iss 37, p

A Scenario for Iran

2022 Volume 37

Abstract: COVID-19 vaccines are supposed to be critical measure for ending the pandemic. Governments had to decide on the type of vaccine to provide for their population. In this decision-making process, cost-effectiveness analysis is considered a helpful tool. ... ...

Abstract	COVID-19 vaccines are supposed to be critical measure for ending the pandemic. Governments had to decide on the type of vaccine to provide for their population. In this decision-making process, cost-effectiveness analysis is considered a helpful tool. This study is a cost-effectiveness analysis utilized to calculate the incremental cost per averted disability-adjusted life year (DALY) by vaccination compared to no vaccination for different COVID-19 vaccines. The incremental cost-effectiveness ratio (ICER) for a vaccination with COVID-19 vaccines was estimated at 6.2 to 121.2 USD to avert one DALY and 566.8 to 10,957.7 USD per one death. The lowest and highest ICERs belong to Ad26.COV2.S and CoronaVac, respectively. Considering the scenario of Iran, vaccines that are recommended include ad26.cov2.s, chadox1-S, rAd26-S + rAd5-S, and BNT162b2 in the order of recommendation.
Keywords	SARS-CoV-2 ; effectiveness ; SARS-CoV-2 vaccines ; cost-effectiveness analysis ; Medicine ; R
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evaluating the Implementation of Child Development and Care Program in Isfahan Comprehensive Child Development Center

Mitra Moradinia / Atefeh Vaezi

Rāhburdhā-yi Mudīriyyat dar Niẓām-i Salāmat, Vol 6, Iss 4, Pp 292-

2022 Volume 307

Abstract: Abstract Background: The Comprehensive Child Development Center was established in 2012 in the center of Isfahan province to rapidly identify and intervene in the developmental problems of children. The aim of this study was to evaluate the ... ...

Abstract	Abstract Background: The Comprehensive Child Development Center was established in 2012 in the center of Isfahan province to rapidly identify and intervene in the developmental problems of children. The aim of this study was to evaluate the implementation of this program. Methods: This was a descriptive-analytical study conducted based on the framework for evaluating public health programs established by the Center for Disease Control and Prevention of United States of America with regard to evaluation of infrastructure, process and outcome. The infrastructure’s checklist included an area of land, equipment, workforce and equipment completed with presence of researcher at the center. Process and outcome evaluation was performed for 127 registered children during 2019. A satisfaction questionnaire was completed in person or remotely by parents of 144 children referred to the center in 2019 and 2020. Data were analyzed using descriptive statistics and independent t-test, and one-way ANOVA was carried out through SPSS 16 software. Results: The overall compliance of infrastructure with standards was 75.42%, with the highest compliance related to the equipment and the lowest related to the specialized workforce. The degree of compliance of the process compared with the standard one varied in different dimensions. 6.30 % of the children were cured and 76.38 % quit treatment. The most common reasons for treatment discontinuation were lack of appointment (29.53 %) and long distance (18.12 %). The overall satisfaction score was 83.90 ± 14.08. The satisfaction of the parents who completed the questionnaire in person was higher than those who completed the questionnaire remotely. Conclusion: The results of this study revealed that the rate of complete cure is low and the rate of treatment discontinuation is high, whose main reasons were the lack of appointment to admit children with developmental disorders and long distance. It is suggested that, in order to solve the problem, the Ministry of Health establish more centers ...
Keywords	population health management ; health care quality ; evaluation ; health systems researches ; childhood development and care program ; Medicine (General) ; R5-920
Subject code	360
Language	Persian
Publishing date	2022-03-01T00:00:00Z
Publisher	Shahid Sadoughi University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Mental Health of Healthcare Workers During the Third Wave of the COVID-19 Pandemic

Mahdieh Saeri / Atefeh Vaezi / Negah Tavakolifard / Shaghayegh Haghjooy Javanmard

Advanced Biomedical Research, Vol 12, Iss 1, Pp 266-

Did We Forget them after the First Wave?

2023 Volume 266

Abstract: Background: Since December 2019, countries experienced different numbers of COVID-19 pandemic waves. The COVID-19 pandemic led to adverse psychologic problems in the communities and among healthcare workers (HCWs), but the dynamic of these problems ... ...

Abstract	Background: Since December 2019, countries experienced different numbers of COVID-19 pandemic waves. The COVID-19 pandemic led to adverse psychologic problems in the communities and among healthcare workers (HCWs), but the dynamic of these problems through different waves needs to be established more. Materials and Methods: This cross-sectional study was conducted in October 2020, through the third wave of the COVID-19 pandemic, in Isfahan, Iran. We studied HCWs' depression, anxiety, and stress using Depression, Anxiety, Stress Scale-21 (DASS-21) and insomnia using Insomnia Severity Index (ISI) questionnaires. Multiple linear regression was used to evaluate the association of some characteristic factors with different psychologic symptoms. Results: Our results showed that about 80% of HCWs had one or more psychological problems. The prevalence of depression, anxiety, stress, and insomnia was 46.0%, 50.2%, 44.6%, and 66.5%, respectively. Female sex, working in ICU, and having a history of chronic disease were predictors of psychological symptoms in our participants. Conclusion: HCWs' mental health state could be underestimated or neglected. The third pandemic wave negatively affected the mental health of the HCWs. Since mental health problems of HCWs may reduce the quality of care, the potential impact of not addressing this issue should be highlighted.
Keywords	anxiety ; covid-19 ; depression ; health personnel ; mental health ; stress ; psychological ; pandemics ; sleep initiation and maintenance disorders ; Medicine ; R ; Biology (General) ; QH301-705.5
Subject code	150
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Remdesivir prescription in pregnant women infected with COVID-19

Azam Zafarbakhsh / Atefeh Vaezi / Shaghayegh Haghjooy Javanmard / Fahimeh Sabet / Maryam Dehghan

Advanced Biomedical Research, Vol 12, Iss 1, Pp 163-

A report of compassionate use

2023 Volume 163

Abstract: Background: Coronavirus disease 2019 (COVID-19) is an infectious disease that the physiological changes in pregnancy can make pregnant patients more susceptible to more severe forms of this infection. Hence, the treatment of COVID-19 in pregnant women ... ...

Abstract	Background: Coronavirus disease 2019 (COVID-19) is an infectious disease that the physiological changes in pregnancy can make pregnant patients more susceptible to more severe forms of this infection. Hence, the treatment of COVID-19 in pregnant women can be challenging. This study was designed to evaluate the safety and efficacy of Remdesivir in pregnant women with COVID-19. Materials and Methods: This study was conducted on 150 pregnant women with moderate to severe COVID-19 infection. Remdesivir was prescribed and continued for 5 or 10 days according to the patient's condition. Maternal and pregnancy outcomes and also recovery rates were evaluated. Moreover, additional variables were examined: age, gestational age, symptoms, O2 saturation and laboratory tests at admission, the interval between symptom initiation and admission to hospital and Remdesivir prescription, hospitalization days, and ICU admission. Results: The mean age was 32.37 years. Cough and dyspnea were the most prevalent symptoms (74% and 68.7%, respectively). At the time of admission, 79 (52.7%) women needed low-flow oxygen support, 67 (44.7%) needed high-flow oxygen support, and 4 (2.7%) were intubated. Fifty-four (36%) patients required ICU care. In patients who died (12 women), Remdesivir was prescribed later than those discharged (P value, 0.04). Patients with favorable pregnancy outcomes received Remdesivir earlier than those with unfavorable pregnancy outcomes (P value: 0.008). The recovery rate was 70% (89.9% in the low-flow oxygen, 50.7% in the NIPPV/high flow oxygen, and 0% in the intubated women). Conclusion: The results suggest that the early prescription of Remdesivir in pregnant women with moderate COVID-19 can improve the outcomes.
Keywords	covid-19 ; pregnancy ; remdesivir ; Medicine ; R ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Adherence of general practitioners to the national hypertension guideline, Isfahan, Iran

Amir Vatani Nezafat / Negah Tavakolifard / Atefeh Vaezi

International Journal of Preventive Medicine, Vol 11, Iss 1, Pp 130-

2020 Volume 130

Abstract: Background: High systolic blood pressure is the leading risk factor for global mortality. Applying effective strategies to control hypertension is a rising concern. Guidelines are approved to be effective in the management of patients with cost-effective ...

Abstract	Background: High systolic blood pressure is the leading risk factor for global mortality. Applying effective strategies to control hypertension is a rising concern. Guidelines are approved to be effective in the management of patients with cost-effective interventions. The aim of this study is to evaluate the adherence of family physicians working in Isfahan health centers to the national hypertension guideline, in 2019. Methods: Using a cross-sectional study, the practice of 43 physicians selected by a multistage sampling method from the perspective of hypertension management was observed in 377 visits. The data gathering form was designed according to the national hypertension guideline. Adherence to the guideline was evaluated by dividing the earned score by the most score one can earn. Data were analyzed using Independent T-test, Pearson correlation and linear regression model. Results: The mean score of adherence to the national hypertension guideline was 33.6 ± 16.42%. There was a significant association between physician's sex, years passed from graduation, type of occupation contract, type of university of education, and attending empowerment class and adherence to the national hypertension guideline. Conclusions: The results of our study show that family physicians just follow one-third of the recommendations in the national hypertension guideline.
Keywords	family ; guideline ; guideline adherence ; hypertension ; iran ; physicians ; Medicine ; R
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Psychological impact of COVID-19 on health-care workers

Mohammad Mousavi / Najmeh Ahmadi / Hooria Seyedhosseini Ghaheh / Atefeh Vaezi / Shaghayegh Haghjooy Javanmard

Journal of Research in Medical Sciences, Vol 26, Iss 1, Pp 77-

A multicenter cross-sectional study

2021 Volume 77

Abstract: Background: Health-care workers (HCWs) as frontline soldiers are involved in the war against COVID-19. Not only their protection from COVID-19 is important but also their mental health is a concern. This study aimed to measure the psychological distress ... ...

Abstract	Background: Health-care workers (HCWs) as frontline soldiers are involved in the war against COVID-19. Not only their protection from COVID-19 is important but also their mental health is a concern. This study aimed to measure the psychological distress among HCWs in the time of COVID-19 in Isfahan, Iran. Materials and Methods: A cross-sectional study was conducted in the 2nd month of the spread of COVID-19 in Isfahan, Iran (March 16 to April 3). A total of 321 HCWs participated in an online survey and answered the General Health Questionnaire, the Insomnia Severity Index, and the Medical Outcomes Study Social Support Survey. t-test and ANOVA were used for comparing variables between groups. Multiple linear regression was used to evaluate the predictive factors of psychological distress. Results: About 34% of our HCWs suffer from some levels of psychological distress. The result of multiple linear regression (R2: 0.41) shows that the predictive variables with the highest value were insomnia, working as a medical resident, and lack of social support (standardized coefficient of beta: 0.51, 0.25, and 0.16, respectively; P < 0.05). Conclusion: The result of our study shows that about one-third of HCWs in COVID-19 special hospitals have some psychological problems. Being a medical resident, suffering from insomnia, and lack of social support are predictive variables.
Keywords	covid-19 ; health personnel ; mental health ; public health ; Medicine ; R
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Isfahan COvid-19 REgistry (I-CORE)

Shaghayegh Haghjooy Javanmard / Maryam Nasirian / Behrouz Ataei / Golnaz Vaseghi / Atefeh Vaezi / Tahereh Changiz

Journal of Research in Medical Sciences, Vol 25, Iss 1, Pp 32-

Design and methodology

2020 Volume 32

Abstract: Health authorities usually exploit after-action reports to collect data on their experience in responding to public health emergencies. To develop an effective approach to manage and learning from health emergencies, we have launched Isfahan COvid-19 ... ...

Abstract	Health authorities usually exploit after-action reports to collect data on their experience in responding to public health emergencies. To develop an effective approach to manage and learning from health emergencies, we have launched Isfahan COvid-19 REgistry for data collection during routine clinical careas a first “critical incident registry” in Iran. Registries can be employed to explain the natural history of the disease, learn about a particular disease in terms of patient outcomes, the cost-effectiveness of clinical management, monitoring the quality of health-care service, and developing research hypotheses.
Keywords	coronavirus ; covid-19 ; isfahan ; isfahan covid-19 registry ; methodology ; registry ; Medicine ; R ; covid19
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Maternal Asthma, Pregnancy, Delivery and Birth Outcomes

Atefeh Vaezi / Ladan Haghighi / Farzaneh Beigmohammadi / Marzieh Nojomi

Iranian Journal of Allergy, Asthma and Immunology, Vol 16, Iss

A Retrospective Cohort Study

2017 Volume 2

Abstract: The aim of current study was to determine women´s maternal asthma in pregnancy, delivery and birth outcomes. Using a retrospective cohort design, data of 580 pregnant women were gathered form a large teaching hospital in Tehran, Iran. The medical records ...

Abstract	The aim of current study was to determine women´s maternal asthma in pregnancy, delivery and birth outcomes. Using a retrospective cohort design, data of 580 pregnant women were gathered form a large teaching hospital in Tehran, Iran. The medical records of pregnant women who had attended this hospital between 2009 and 2011 were assessed. Data of delivery and birth outcomes were gathered by observation and medical records of women. Multiple logistic regression and adjusted odds ratio (OR) were used to assess the independent association of asthma and outcomes. 274 patients (47.2%) were in “asthmatic group” and 306 patients (52.8%) were in the “non-asthmatic group”. Basic and demographic variables showed the same distribution across two groups. Maternal asthma showed an adjusted relationship with gestational diabetes (OR=2.64), gestational hypertension (OR=3.79), cesarean delivery (OR=2.68), small for gestational age (OR=2.86), premature rupture of membrane (OR=2.18), preterm delivery (OR=1.74), abnormal vaginal bleeding (OR=3.75), and low birth weight (OR=1.78) significantly (p<0.05 for all associations). The majority of pregnancy, delivery and birth outcomes except fetal death, abortion, placenta previa and placenta abruption) were significantly associated with maternal asthma. The largest association of maternal asthma was with gestational hypertension and abnormal vaginal bleeding respectively.
Keywords	Asthma ; Birth outcomes ; Pregnancy ; Pregnancy outcomes ; Medicine ; R
Subject code	610
Language	English
Publishing date	2017-05-01T00:00:00Z
Publisher	Tehran University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: COVID-19 in Iran

Rahele Kafieh / Roya Arian / Narges Saeedizadeh / Zahra Amini / Nasim Dadashi Serej / Shervin Minaee / Sunil Kumar Yadav / Atefeh Vaezi / Nima Rezaei / Shaghayegh Haghjooy Javanmard

Computational and Mathematical Methods in Medicine, Vol

Forecasting Pandemic Using Deep Learning

2021 Volume 2021

Abstract: COVID-19 has led to a pandemic, affecting almost all countries in a few months. In this work, we applied selected deep learning models including multilayer perceptron, random forest, and different versions of long short-term memory (LSTM), using three ... ...

Abstract	COVID-19 has led to a pandemic, affecting almost all countries in a few months. In this work, we applied selected deep learning models including multilayer perceptron, random forest, and different versions of long short-term memory (LSTM), using three data sources to train the models, including COVID-19 occurrences, basic information like coded country names, and detailed information like population, and area of different countries. The main goal is to forecast the outbreak in nine countries (Iran, Germany, Italy, Japan, Korea, Switzerland, Spain, China, and the USA). The performances of the models are measured using four metrics, including mean average percentage error (MAPE), root mean square error (RMSE), normalized RMSE (NRMSE), and R2. The best performance was found for a modified version of LSTM, called M-LSTM (winner model), to forecast the future trajectory of the pandemic in the mentioned countries. For this purpose, we collected the data from January 22 till July 30, 2020, for training, and from 1 August 2020 to 31 August 2020, for the testing phase. Through experimental results, the winner model achieved reasonably accurate predictions (MAPE, RMSE, NRMSE, and R2 are 0.509, 458.12, 0.001624, and 0.99997, respectively). Furthermore, we stopped the training of the model on some dates related to main country actions to investigate the effect of country actions on predictions by the model.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Nurses\' Viewpoint about Collaboration between Physicians and Nurses in Clinical Decision-Making in the Hospitals of Tehran, 2011

Atefeh Vaezi / Azam Dabirian / Malihe Ameri / Amir Kavosi

Journal of Research Development in Nursing and Midwifery, Vol 10, Iss 2, Pp 87-

2013 Volume 93

Abstract: Background and objective:‌ Contribution is the main element in inter-professional relationship ‌between the nurse and physician, requiring collaborative relationship and sharing information‌ to‌ reach‌ a common‌ therapeutic‌ goal.‌ the‌ collaboration ... ...

Abstract	Background and objective:‌ Contribution is the main element in inter-professional relationship ‌between the nurse and physician, requiring collaborative relationship and sharing information‌ to‌ reach‌ a common‌ therapeutic‌ goal.‌ the‌ collaboration between the nurse and physician in clinical decision-making is a necessity for high-quality care in hospitals.‌This study aimed to determine‌ nurses' perspective about collaboration in clinical decision-‌making. Material and Methods: This descriptive study was conducted on the nurses selected by convenience sampling and inclusion criteria in state, private and social well-fare hospitals, 2011. The data was collected by a questionnaire including demographic and nurse-physician collaboration questions, whose validity and reliability were evaluated by content validity and test re-test. Descriptive statistics such as frequency mean and standard deviation was used. Results: The results showed that the samples (76.5%) were females, aged between 30 and 39.5(58.3%), BSc of nursing (93.5%), contract employment (53.8%) and 5-9 year record of services (50%). The viewpoint of the nurses about collaboration in decision-making was moderate (70.8%), good (7.5%) and weak (14%). Conclusion: Based on the results, a few nurses are satisfied their collaboration with physician in decision-making. It seems that the nurse-physician contribution in therapeutic procedure got the highest point, and absence of opportunity in giving comment got the lowest score.
Keywords	nurse ; physician ; clinical decision making ; patient ; Medicine ; R ; Nursing ; RT1-120
Subject code	001
Language	English
Publishing date	2013-10-01T00:00:00Z
Publisher	Golestan University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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