15 research outputs found

    EveTAR: Building a Large-Scale Multi-Task Test Collection over Arabic Tweets

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    This article introduces a new language-independent approach for creating a large-scale high-quality test collection of tweets that supports multiple information retrieval (IR) tasks without running a shared-task campaign. The adopted approach (demonstrated over Arabic tweets) designs the collection around significant (i.e., popular) events, which enables the development of topics that represent frequent information needs of Twitter users for which rich content exists. That inherently facilitates the support of multiple tasks that generally revolve around events, namely event detection, ad-hoc search, timeline generation, and real-time summarization. The key highlights of the approach include diversifying the judgment pool via interactive search and multiple manually-crafted queries per topic, collecting high-quality annotations via crowd-workers for relevancy and in-house annotators for novelty, filtering out low-agreement topics and inaccessible tweets, and providing multiple subsets of the collection for better availability. Applying our methodology on Arabic tweets resulted in EveTAR , the first freely-available tweet test collection for multiple IR tasks. EveTAR includes a crawl of 355M Arabic tweets and covers 50 significant events for which about 62K tweets were judged with substantial average inter-annotator agreement (Kappa value of 0.71). We demonstrate the usability of EveTAR by evaluating existing algorithms in the respective tasks. Results indicate that the new collection can support reliable ranking of IR systems that is comparable to similar TREC collections, while providing strong baseline results for future studies over Arabic tweets

    Nurses experience of caring for patients with COVID-19 : a phenomenological study

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    Introduction: COVID-19 has impacted all dimensions of life and imposed serious threat on humankind. Background: In Jordan, understanding how nurses experienced providing care for patients with COVID-19 offers a framework of knowledge about similar situations within the context of Arabic culture. Aim: To explore nurses' experience with providing hands-on care to patients with active COVID-19 infection in an Arabic society. Methods: A descriptive phenomenological study interviewed 10 nurses through a purposive sampling approach until data saturation was reached. The research site was hospital designated to receive patients with active COVID-19 infection. Semi-structured interviews were used to collect the data. Findings: Three themes were generated from the data: the impact of the COVID-19 outbreak on nurses' health; unfamiliar work and social environments; and conforming to professional standards. Discussion: There are specific risks to the physical and mental wellbeing of nurses who provide hands-on care to patients with COVID-19 in an Arabic society. Implication for nursing and health policy: Health care institutions should consider establishing programs that promote nurses' wellbeing and support their productivity in a crisis. A danger pay allowance should be considered for nurses during extraordinary circumstances, such as pandemics

    Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

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    BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

    Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

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    Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

    Psychological outcomes after hysterectomy for benign conditions : a systematic review and meta-analysis

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    Hysterectomy is one of the commonest operative procedures in the developed world, mostly occurring among premenopausal women, with contradictory results regarding post-operative psychological wellbeing. This review aims to inform practice by examining whether hysterectomy predicts depression or anxiety outcomes. We searched PubMed, EMBASE, and PsycINFO electronic databases for articles published before November 2012. Reference lists of relevant articles were hand searched, and expert opinions were sought. Refereed studies investigating an association between hysterectomy for benign (non-cancerous) conditions and post-operative symptoms of depression or anxiety were chosen for this review. Two authors independently abstracted data from original articles. Authors of relevant studies were contacted for data that could not be extracted from the published articles. Review Manager 5.1 was used throughout the meta-analysis to calculate the summary relative risks (RRs), and the weighted standardized mean difference (WstdMD), and their corresponding 95% confidence intervals (CI). A random effects model was used in data analysis and verified using a fixed effect model. Overall, hysterectomy was associated with a decreased risk of clinically relevant depression (RR = 1.69, 95% CI 1.19–2.38). Additionally, hysterectomy was associated with a decrease in standardized depression outcomes (standardized mean difference (SMD) 0.38 (95% CI 0.27–0.49)). Conversely, there was no significant association between hysterectomy and risk of clinically relevant anxiety (RR = 1.41, 95% CI 0.72–2.75). In conclusion, data from before and after studies suggest that hysterectomy for benign gynecological conditions is not adversely associated with anxiety and may be positively rather than adversely associated with depression

    Self-esteem, stress, and depressive symptoms among Jordanian pregnant women : social support as a mediating factor

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    This study purposed to assess the mediating role of social support between stress, depressive symptoms, and self-esteem among Jordanian pregnant women. Across-sectional study recruited a total of 538 pregnant Jordanian women using a cluster stratified random sampling technique, during the period from September 2019 to February 2020. The study used the following measures: The Perceived Stress Scale (PSS), Beck’s Depression Inventory (BDI), Rosenberg Self-Esteem Scale, and Multidimensional Social Support Scale (MSPSS). Descriptive statistics and inferential statistics were used to test the mediating effect of social support in terms of the association between depression and self-esteem. The results were considered significant if p ≤.05. The findings showed that 75.6% of participants had moderate-to-high stress levels. High levels of stress, depressive symptoms, and low self-esteem were highly correlated with low social support (p &lt;.05). Depressive symptoms predict the self-esteem (F(2, 537) = 158.631 p &lt;.05). Social support significantly mediates the relationship between the depressive symptoms and self-esteem with p =.01. Thus, during the antenatal care, administration of screening tools to identify pregnant women with low social support levels and at risk of developing psychological difficulties would allow primary healthcare to promote for positive health outcomes for the mothers and the babies

    Prevalence and Correlates of Psychological Reactions Among Jordanian Nurses During the Coronavirus Disease 2019 Pandemic

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    We aimed to assess the prevalence of psychological reactions (depression, anxiety, and stress) and their correlates among Jordanian nurses. This study was conducted using an online survey from March 22, 2020, to March 27, 2020. The Arabic version of Depression, Anxiety, and Stress Scale (DASS) was used. Depression, anxiety, and stress were highly prevalent among nurses (57.8%, 42.4%, and 50.1%, respectively). Those who had close contact with a coronavirus disease 2019 (COVID-19) patient showed stronger psychological reactions than their counterparts (partial = 0.264, part = 0.254). Moreover, female gender and number of children were the main significant predictors of depression [(B = 0.176), (B = 0.232), (B = 0.255)], anxiety [(B = 0.155), (B = 0.232), (B = 0.268)], and stress [(B = 0.148), (B = 0.218), (B = 0.258)]. Hence, the mental health status of nurses should be given priority, especially those who are in contact with COVID-19 patients, female nurses, and those who have children

    Language translation challenges with Arabic speakers participating in qualitative research studies

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    This paper discusses how a research team negotiated the challenges of language differences in a qualitative study that involved two languages. The lead researcher shared the participants' language and culture, and the interviews were conducted using the Arabic language as a source language, which was then translated and disseminated in the English language (target language). The challenges in relation to translation in cross-cultural research were highlighted from a perspective of establishing meaning as a vital issue in qualitative research. The paper draws on insights gained from a study undertaken among Arabic-speaking participants involving the use of in-depth semi-structured interviews. The study was undertaken using a purposive sample of 15 participants with Type 2 Diabetes Mellitus and co-existing depression and explored their perception of self-care management behaviours. Data analysis was performed in two phases. The first phase entailed translation and transcription of the data, and the second phase entailed thematic analysis of the data to develop categories and themes. In this paper there is discussion on the translation process and its inherent challenges. As translation is an interpretive process and not merely a direct message transfer from a source language to a target language, translators need to systematically and accurately capture the full meaning of the spoken language. This discussion paper highlights difficulties in the translation process, specifically in managing data in relation to metaphors, medical terminology and connotation of the text, and importantly, preserving the meaning between the original and translated data. Recommendations for future qualitative studies involving interviews with non-English speaking participants are outlined, which may assist researchers maintain the integrity of the data throughout the translation process

    Translation of interviews from a source language to a target language : examining issues in cross-cultural health care research

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    Aims and objectives: To illuminate translation practice in cross-language inter- view in health care research and its impact on the construction of the data. Background: Globalisation and changing patterns of migration have created changes to the world’s demography; this has presented challenges for overarching social domains, specifically, in the health sector. Providing ethno-cultural health services is a timely and central facet in an ever-increasingly diverse world. Nursing and other health sectors employ cross-language research to provide knowledge and understanding of the needs of minority groups, which underpins cultural-sen- sitive care services. However, when cultural and linguistic differences exist, they pose unique complexities for cross-cultural health care research; particularly in qualitative research where narrative data are central for communication as most participants prefer to tell their story in their native language. Consequently, trans- lation is often unavoidable in order to make a respondent’s narrative vivid and comprehensible, yet, there is no consensus about how researchers should address this vital issue. Design. An integrative literature review. Methods. PubMed and CINAHL databases were searched for relevant studies published before January 2014, and hand searched reference lists of studies were selected. Results. This review of cross-language health care studies highlighted three major themes, which identify factors often reported to affect the translation and produc- tion of data in cross-language research: (1) translation style; (2) translators; and (3) trustworthiness of the data. Conclusion. A plan detailing the translation process and analysis of health care data must be determined from the study outset to ensure credibility is maintained. A transparent and systematic approach in reporting the translation process not only enhances the integrity of the findings but also provides overall rigour and auditability. Relevance to clinical practice. It is important that minority groups have a voice in health care research which, if accurately translated, will enable nurses to improve culturally relevant care
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