The 360-degree emotional competency profiler as a predictor of leadership ability.

Thesis (MBA)-University of Natal, Durban, 2003.Leadership has been defined as the competencies and processes required to enable and empower ordinary employees to do extraordinary things in the face of adversity, it has the added advantage of constantly delivering superior performance to the benefit of individual employees and the organisation, thereby improving returns on investment for shareholders. These behaviours include being skilled in emotional competencies. This study focused on the emotional intelligence factors considered characteristic of effective leaders. Forty-eight high potential leaders (HPL) that were selected as part of the companies talent management program were included in the study. Their ratings on the 360-degree Emotional Competency Profiler (ECP) where compared to a group of twenty-four employees that were excluded from this program. Qualitative and quantitative methods where used to explore the relationship between leadership and emotional intelligence. Focus groups were used as qualitative method to determine the relationship between emotional intelligence as measured using the Emotional Competency Profiler (ECP), leadership and the leadership requirements placed on leaders as documented within the talent management program. The results from these discussions indicated a positive relationship between, emotional intelligence, leadership theory and the leadership requirements of the company. Quantitative methods where used to compare the ratings of leaders with nonleaders. The gap identified between current EQ behaviour and the importance of the EQ behaviour were used to indicate the leadership demands placed on the high potential leader and non-leader groups. The outcome of the study indicated the value and application of emotional intelligence (EQ) as component of effective leadership. It is well known that emotionally intelligent leaders have the ability to engage the hearts, minds and imaginations of ordinary people. They inspire people to perform beyond their own expectations. These leaders create a sense of ownership, belonging, security and joint destiny in situations of uncertainty and change. The result is that employees trust these leaders and approach their jobs with greater commitment. The resulting teamwork, mutual support and co-operation create a work environment were employees become creative and innovative. Teams with emotionally intelligent leaders reach a level of synergy that lifts their performance to a level that is more than the sum total of the individual contributions

Tempo effects may distort the interpretation of trends in life expectancy

Objectives: Recently, a new interpretation problem of trends in period life expectancy has been discussed in the demographic literature. The so-called tempo effects arise if large numbers of deaths are suddenly postponed. In such conditions, the life table inflates longevity gains in the population because it weights avoided deaths with the full remaining life expectancy. This article explains how such effects occur and indicates their relevance using an illustrative example. Study Design and Setting: Data of East and West Germany from the Human Mortality Database for the years 1990-2009 were used. We simulated a scenario that contrasts the observed life expectancy in West and East Germany with an alternative one based on the assumption of short-term postponements of deaths. Results: Our example demonstrates that if tempo effects have distorted changes in life expectancy, the pace of improvement in underlying mortality conditions could be over- and underestimated. Conclusion: We recommend that the assumptions of the life table, in this case about the remaining life expectancy of avoided deaths, are carefully evaluated in all applications. Interdisciplinary efforts to develop models to detect and quantify tempo effects from life expectancy calculations should be put on the research agenda. (C) 2014 Elsevier Inc. All rights reserved

The longevity risk of the Dutch Actuarial Association’s projection model

Accurate assessment of the risk that arises from further increases in life expectancy is crucial for the financial sector, in particular for pension funds and life insurance companies. The Dutch Actuarial Association presented a revised projection model in 2010, while in the same year two fundamentally different approaches were published by other institutions. This situation invites study of the consequences that the choice of projection model has on estimates of future life expectancy, which is the purpose of this paper. We firstly compare the three approaches against theoretical findings in the international literature. Secondly, we compare their outcomes in terms of period and cohort survival. In addition, we estimate the impact of each model on the present value of future pension payments. Our results indicate that, even in the short term, remarkable differences in life expectancy occur that also translate into different pension values. The literature review suggests that there is currently no blueprint for mortality projections; that calls for the application of various approaches to discount the uncertainty of the individual models. Instead of relying on extrapolation methods only, the pension sector should also take expert-driven forecasts into account as well as approaches that model causal influences on mortality. The model of the Actuarial Association could be improved by taking cohort influences into account as well as the estimate of uncertainty bounds around the outcome measure. Also, the consistency of the projection in terms of the age and gender dimensions but also other countries should be enhanced

Forecasting differences in life expectancy by education

Forecasts of life expectancy (LE) have fuelled debates about the sustainability and dependability of pension and healthcare systems. O

Predictive analytics for cardio-thoracic surgery duration as a stepstone towards data-driven capacity management

Effective capacity management of operation rooms is key to avoid surgery cancellations and prevent long waiting lists that negatively affect clinical and financial outcomes as well as patient and staff satisfaction. This requires optimal surgery scheduling, leveraging essential parameters like surgery duration, post-operative bed type and hospital length-of-stay. Common clinical practice is to use the surgeon’s average procedure time of the last N patients as a planned surgery duration for the next patient. A discrepancy between the actual and planned surgery duration may lead to suboptimal surgery schedule. We used deidentified data from 2294 cardio-thoracic surgeries to first calculate the discrepancy of the current model and second to develop new predictive models based on linear regression, random forest, and extreme gradient boosting. The new ensamble models reduced the RMSE for elective and acute surgeries by 19% (0.99 vs 0.80, p = 0.002) and 52% (1.87 vs 0.89, p &lt; 0.001), respectively. Also, the elective and acute surgeries “behind schedule” were reduced by 28% (60% vs. 32%, p &lt; 0.001) and 9% (37% vs. 28%, p = 0.003), respectively. These improvements were fueled by the patient and surgery features added to the models. Surgery planners can benefit from these predictive models as a patient flow AI decision support tool to optimize OR utilization.</p

Predictive analytics for cardio-thoracic surgery duration as a stepstone towards data-driven capacity management

Effective capacity management of operation rooms is key to avoid surgery cancellations and prevent long waiting lists that negatively affect clinical and financial outcomes as well as patient and staff satisfaction. This requires optimal surgery scheduling, leveraging essential parameters like surgery duration, post-operative bed type and hospital length-of-stay. Common clinical practice is to use the surgeon’s average procedure time of the last N patients as a planned surgery duration for the next patient. A discrepancy between the actual and planned surgery duration may lead to suboptimal surgery schedule. We used deidentified data from 2294 cardio-thoracic surgeries to first calculate the discrepancy of the current model and second to develop new predictive models based on linear regression, random forest, and extreme gradient boosting. The new ensamble models reduced the RMSE for elective and acute surgeries by 19% (0.99 vs 0.80, p = 0.002) and 52% (1.87 vs 0.89, p &lt; 0.001), respectively. Also, the elective and acute surgeries “behind schedule” were reduced by 28% (60% vs. 32%, p &lt; 0.001) and 9% (37% vs. 28%, p = 0.003), respectively. These improvements were fueled by the patient and surgery features added to the models. Surgery planners can benefit from these predictive models as a patient flow AI decision support tool to optimize OR utilization.</p

The Diabetes Remission Clinical Trial (DiRECT): protocol for a cluster randomised trial

Background: Despite improving evidence-based practice following clinical guidelines to optimise drug therapy, Type 2 diabetes (T2DM) still exerts a devastating toll from vascular complications and premature death. Biochemical remission of T2DM has been demonstrated with weight loss around 15kg following bariatric surgery and in several small studies of non-surgical energy-restriction treatments. The non-surgical Counterweight-Plus programme, running in Primary Care where obesity and T2DM are routinely managed, produces &gt;15 kg weight loss in 33 % of all enrolled patients. The Diabetes UK-funded Counterpoint study suggested that this should be sufficient to reverse T2DM by removing ectopic fat in liver and pancreas, restoring first-phase insulin secretion. The Diabetes Remission Clinical Trial (DiRECT) was designed to determine whether a structured, intensive, weight management programme, delivered in a routine Primary Care setting, is a viable treatment for achieving durable normoglycaemia. Other aims are to understand the mechanistic basis of remission and to identify psychological predictors of response. Methods/Design: Cluster-randomised design with GP practice as the unit of randomisation: 280 participants from around 30 practices in Scotland and England will be allocated either to continue usual guideline-based care or to add the Counterweight-Plus weight management programme, which includes primary care nurse or dietitian delivery of 12-20weeks low calorie diet replacement, food reintroduction, and long-term weight loss maintenance. Main inclusion criteria: men and women aged 20-65years, all ethnicities, T2DM 0-6years duration, BMI 27-45 kg/m2. Tyneside participants will undergo Magnetic Resonance (MR) studies of pancreatic and hepatic fat, and metabolic studies to determine mechanisms underlying T2DM remission. Co-primary endpoints: weight reduction ≥ 15 kg and HbA1c &lt;48 mmol/mol at one year. Further follow-up at 2 years. Discussion: This study will establish whether a structured weight management programme, delivered in Primary Care by practice nurses or dietitians, is a viable treatment to achieve T2DM remission. Results, available from 2018 onwards, will inform future service strategy

The influence of partners on successful lifestyle modification in patients with coronary artery disease

Background: Marital status is associated with prognosis in patients with cardiovascular disease (CVD). However, the influence of partners on successful modification of lifestyle-related risk factors (LRFs) in secondary CVD prevention is unclear. Therefore, we studied the association between the presence of a partner, partner participation in lifestyle interventions and LRF modification in patients with coronary artery disease (CAD). Methods: In a secondary analysis of the RESPONSE-2 trial (n = 711), which compared nurse-coordinated referral to community-based lifestyle programs (smoking cessation, weight reduction and/or physical activity) to usual care in patients with CAD, we investigated the association between the presence of a partner and the level of partner participation on improvement in >1 LRF (urinary cotinine <200 ng/l, ≥5% weight reduction, ≥10% increased 6-min walking distance) without deterioration in other LRFs at 12 months follow-up. Results: The proportion of patients with a partner was 80% (571/711); 19% women (108/571). In the intervention group, 48% (141/293) had a participating partner in ≥1 lifestyle program. Overall, the presence of a partner was associated with patients' successful LRF modification (adjusted risk ratio (aRR) 1.93, 95% confidence interval (CI) 1.40-2.51). A participating partner was associated with successful weight reduction (aRR 1.73, 95% CI 1.15-2.35). Conclusion: The presence of a partner is associated with LRF improvement in patients with CAD. Moreover, patients with partners participating in lifestyle programs are more successful in reducing weight. Involving partners of CAD patients in weight reduction interventions should be considered in routine practice. Keywords: (Mesh): Secondary prevention; Coronary artery disease; Risk reduction behaviour; Social support; Spouses

The church and paediatric HIV care in rural South Africa

Religion has substantial – positive and negative – influence on South Africa’s HIV context. This qualitative study explored possibilities for positive church engagement in paediatric HIV care in a rural district in Limpopo Province, South Africa. Opinions, attitudes and experiences of various stakeholders including religious leaders, healthcare workers and people infected/affected with/by HIV were investigated through participant observation, semi-structured interviews and focus group discussions. During the research the original focus on paediatric HIV care shifted to HIV care in general in reaction to participant responses. Participants identified three main barriers to positive church engagement in HIV care: (a) stigma and disclosure; (b) sexual associations with HIV and (c) religious beliefs and practices. All participant groups appreciated the opportunity and relevance of strengthening church involvement in HIV care. Opportunities for positive church engagement in HIV care that participants identified included: (a) comprehensive and holistic HIV care when churches and clinics collaborate; (b) the wide social reach of churches and (c) the safety and acceptance in churches. Findings indicate that despite barriers great potential exists for increased positive church engagement in HIV care in rural South Africa. Recommendations include increased medical knowledge and dialogue on HIV/AIDS within church settings, and increased collaboration between churches and the medical sector