Burst Out of the Dead Land by the Help of Spirituality: A Case Study of Living with Blindness and Cancer.

Blindness is one of the most complex problems related to health throughout the world. The condition is worse when such stress is accompanied with cancer. The aim of this case study was to introduce a patient with both these conditions who could come over her problems well. A phenomenological hermeneutic approach influenced by Ricoeur was used to explore the experience of the patient. Data were collected through unstructured and deep interview and by checking patient medical records. The patient is an Iranian 58-year-old teacher residing in Kerman who became blind at age 32 due to bloodshed inside the eye and was affected by breast cancer at age 52. The patient could come over these divine tests through the help of spirituality so that she believed blindness and cancer was the best events in her life. Spirituality is one of the human aspects that give meaning and purposes to life. Health care providers are suggested to implement spiritual strategies such as instructional workshops for increasing spirituality in settings, such as oncologic wards for patients to pass stages of adaptation to such great stresses easily and rapidly

The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

The goal of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well‐powered meta‐ and mega‐analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large‐scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided

The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke

The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided

EQ-5D in Central and Eastern Europe : 2000-2015

Objective: Cost per quality-adjusted life year data are required for reimbursement decisions in many Central and Eastern European (CEE) countries. EQ-5D is by far the most commonly used instrument to generate utility values in CEE. This study aims to systematically review the literature on EQ-5D from eight CEE countries. Methods: An electronic database search was performed up to July 1, 2015 to identify original EQ-5D studies from the countries of interest. We analysed the use of EQ-5D with respect to clinical areas, methodological rigor, population norms and value sets. Results: We identified 143 studies providing 152 country-specific results with a total sample size of 81,619: Austria (n=11), Bulgaria (n=6), Czech Republic (n=18), Hungary (n=47), Poland (n=51), Romania (n=2), Slovakia (n=3) and Slovenia (n=14). Cardiovascular (20%), neurologic (16%), musculoskeletal (15%) and endocrine/nutritional/metabolic diseases (14%) were the most frequently studied clinical areas. Overall 112 (78%) of the studies reported EQ VAS results and 86 (60%) EQ-5D index scores, of which 27 (31%) did not specify the applied tariff. Hungary, Poland and Slovenia have population norms. Poland and Slovenia also have a national value set. Conclusions: Increasing use of EQ-5D is observed throughout CEE. The spread of health technology assessment activities in countries seems to be reflected in the number of EQ-5D studies. However, improvement in informed use and methodological quality of reporting is needed. In jurisdictions where no national value set is available, in order to ensure comparability we recommend to apply the most frequently used UK tariff. Regional collaboration between CEE countries should be strengthened

Post-traumatic Stress Disorder and Post-traumatic Growth Among Muslim CPR Survivors

The present study was conducted to compare post-traumatic growth (PTG) and post-traumatic stress (PTSD) in CPR survivors in Shia and Sunni. In a cross-sectional study, the results showed that the mean score of PTSD in Sunni (n = 74) was more than that of Shia (n = 89). There was no difference between Shia and Sunni in the mean score of PTG. Regarding the useful role of religion on PTG, the use of religious coping strategies in post-traumatic life-threatening situations can be helpful. It is recommended that further studies be conducted on the cultural, social, and psychological factors affecting PTG and PTSD in different societies. © 2019, Springer Science+Business Media, LLC, part of Springer Nature

The Relationship between Patient Safety Climate and Medical Error Reporting Rate among Iranian Hospitals Using a Structural Equation Modeling

Background: Improving patient safety is a global health imperative, and patient safety climate is one of the components one that plays an important role in promoting patient safety. Medical error reporting is a way through which it can be evaluated and prevented in the future. The aim of this study was to assess the relationship between patient safety climate and medical error reporting in military and civilian hospitals. Methods: This research was conducted by using structural equation modeling in the selected hospitals of Iran in 2018. The study community consisted of 200 nurses in the military and 400 nurses in the civilian hospitals. By using Structural Equation Modeling, the relationship between patient safety climate and the rate of medical error reporting in the hospitals was measured by a questionnaire. Data was analyzed using SPSS 17 and LISREL 8.8 software. Results: The mean score of patient safety climate was moderate in the hospitals. There was no significant relationship between the rate of medical error reporting and patient safety climate, while a significant difference was found between patient safety climate score and age, sex, job category, and type of hospital (P < 0.05). Conclusion: The results suggested that patient safety climate and the rate of reporting errors were not favorable in the studied hospitals, while there was a difference between safety climate dimensions. © 2020 Mostefa S., et al