Cultural Profile as Determinant of Work Outcomes in a Collectivist Context

Extant research evidence shows that interpersonal bonds—the bond to the immediate supervisor and work team—have an incremental predictive effect in western settings, neglecting emerging economic and cultural environments. This study, thus, examines the impact of cultural profiles on interpersonal bonds and related performance in an emerging market context. Specifically, the study examines the emergence of profiles based on micro-level psychological collectivism (individualism) and power distance orientations. The study further examines the effect of the emerged profiles on interpersonal bonds and the performance of activities related to the targets of the bonds. A survey questionnaire was used to collect data from 148 multiple public and private organizations of varied industries (banking, manufacturing, education, and local government) in an emerging market. Using the MANOVA analytic procedure, the study finds that the supervisor-oriented and team-involved profile rather than the team-alienated profile demonstrates a significantly higher level of work outcomes involving interpersonal commitment to the supervisor and substantially higher task performance. The outcome suggests that power distance cultural value may have a negative psychological effect while collectivism has a positive psychological effect on work outcomes in this context. The implication of the outcome for theory and policy in the collectivist context is discussed

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

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

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

The configural approach to organisational commitment: An application in Ghana

Orientation: An emerging stream of research employs a configural or profile approach to the study of organisational commitment, by focusing on and placing individuals at the centre of data analysis. This approach signals the importance of taking a holistic view of individuals’commitment mind-set, unlike the variable-centred approach. Research purpose: To test the theory on profiles of commitment in an African context (Ghana). Motivation for the study: Although the three-component model of organisational commitment has been extended to several regions of Africa, there is a paucity of research on profiles of commitment on the continent. Research approach, design and method: Cross-sectional data from two studies, with samples of 187 and 218, were analysed using k-means clusters. Multivariate analysis of variance (MANOVA) was then used to test the differences amongst profiles in their association with contextual variables, such as pay satisfaction, job security, strike propensity and two demographic factors. Main findings: In the k-means cluster analysis, a six-cluster solution emerged in both studies;the profiles include the highly committed and the uncommitted groups, as well as the profiles based on normative commitment and continuance commitment. Overall, the MANOVA post hoc outcome shows that the highly committed group reports higher mean scores on the positive outcome variables (e.g. job security) than the uncommitted group. Conversely, the uncommitted group scored relatively higher on the negative organisational outcome (propensity to strike). Other mean differences were found in the respective studies on pay satisfaction, collectivism and the demographic factors. Practical/managerial implications: Employing the configural approach to the study of commitment in this region should increase our understanding of the patterns of attachment and their influence on behaviour. Different patterns of attachment exist within the organisation that may be beneficial or detrimental to behaviour on the job. It is, therefore, important for managers to identify these patterns and target organisational policy and resources appropriately. Contribution/value-add: This study applies the concept of commitment profiles to an untested region: an African context. It, therefore, adds to the literature on the generalisability of the typology of commitment profiles

Integrating Engagement and Interpersonal Bond: Effect on Directed Performance

This study integrates the mediating effects of supervisory commitment and job engagement on directed outcomes of citizenship behaviors and task performance in multiple models. Independent, parallel, and serial mediational models were examined using data from supervisor-employee dyads in small-sized firms. Structural equation modeling (SEM) procedure in STATA 15 was used to fit the models and the PROCESS macros was used to validate the relationships. Both tests confirmed the independent and parallel but not the serial mediational model. Supervisory commitment was superior in mediating the effect of organizational commitment on all performance outcomes in the parallel model but not engagement. The results reaffirm the importance of the interpersonal bond and contrast the assumed predictive effect of job engagement

Predicting Students’ Academic Performance: The Joint Effect of Satisfaction and Motivation in Two Public Colleges in Southwest USA.

This study examines the mediating roles of goal motive, an SDT perspective, and satisfaction with college life on academic performance. A survey of two public higher education institutions in Southern USA showed that both samples reported autonomous learning climate and moderate satisfaction with college life. The regression analysis using the PROCESS Macros in SPSS revealed that the strongest predictors of academic performance were the learning climate and satisfaction with college life, but satisfaction mediates the effect of learning climate. Thus, satisfaction seems to be more important than motivation in the two contexts. The outcome provides critical insights that may inform SDT research in higher education and student’s performance management

Role of BaTiO3 crystal surfaces on the electronic properties, charge separation and visible light–response of the most active (001) surface of LaAlO3: A hybrid density functional study

Surface engineering has been proved as an efficient technique to boost charge separation and visible light absorption of semiconductor photocatalyst materials. Herein, we offer a first insight into the photocatalytic properties and electronic structure of cubic LaAlO3(001) modified with cubic BaTiO3 (001), (011) and (111) surfaces. Compared to the bulk LaAlO3, the BaTiO3/LaAlO3(001) heterostructures showed superior redshift of absorption, work functions and a suitable staggered type–II band alignment to separate the photoinduced carriers. The BaTiO3(001) surface coupled with LaAlO3(001) surface show improved visible light photoactivity owing to the more surface complex and terminal barium atoms forming the main active adsorption sites on its surface. These findings offer new insight into the understanding of preferential exposure of photocatalytic active surfaces, which will aid in designing active heterostructures for photocatalytic reactions, as well as understanding the mechanism of photocatalysis

Trace Metals in Cannabis Seized by Law Enforcement in Ghana and Multivariate Analysis to Distinguish among Different Cannabis Farms

For hundreds of years, cannabis has been one of the most known cultivated plants due to its variety of uses, which include as a psychoactive drug, as well as for medicinal activity. Although prohibiting cannabis products, the countries of the African continent are the largest producers of cannabis in the world; a fact that makes the trafficking of cannabis-based illicit drugs a high priority for local law enforcement authorities. The latter are exceedingly interested in the use of chemical analyses for facilitating quantification, identification, and tracing of the origin of seized cannabis samples. Targeting these goals, and focusing on the country of Ghana, the present study used inductively coupled plasma mass spectrometry (ICP-MS) for the determination of 12 elements (Pb, Cu, Ca, Mg, Mn, Zn, Cd, As, Hg, Fe, Na, and K) in cannabis seized by Ghana’s law enforcement authorities and soils of cannabis farms. Furthermore, multivariate analysis was applied to distinguish among different cannabis farms and match them with the samples. As a result, 22 seized cannabis samples and 12 other cannabis samples with their respective soils were analyzed to reveal considerable As and Pb concentrations. As and Pb levels in cannabis were found up to 242 ppb for As and 854 ppb for Pb. Multivariate analysis was applied for separating different cannabis farms and seized samples based on elemental analysis, evidently linking the seized samples with two Ghana regions