86 research outputs found

    Providing Feedback on the Lexical Use of ESP Students’ Academic Presentations: Teacher Training Considerations

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    This chapter offers a description of a methodology for providing training to pre-service English for Academic and Specific Purposes (EAP/ESP) teacher trainees in giving evidence-based feedback on the lexical composition of ESP students’ academic presentations. It also discusses a study based on the analysis of the mock feedback provided by the EAP/ESP teacher trainees (n=20) to ESP students’ presentations with a focus on the effects of training. The results revealed that the training was successful in areas such as raising the teacher trainees’ awareness of how to evaluate various lexical categories in an ESP presentation, how to incorporate their evaluation into the feedback they give to the students, how to highlight relevant lexical deviations in an evidence-based manner, etc. There were, however, a couple of areas that needed to be emphasised more in the training process. The results confirmed that providing training on evidence-driven feedback to teacher trainees planning to teach in an EAP/ESP context is a necessary component of ESP teacher education

    Associations between partial sickness benefit and disability pensions: initial findings of a Finnish nationwide register study

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    <p>Abstract</p> <p>Background</p> <p>Timely return to work after longterm sickness absence and the increased use of flexible work arrangements together with partial health-related benefits are tools intended to increase participation in work life. Although partial sickness benefit and partial disability pension are used in many countries, prospective studies on their use are largely lacking. Partial sickness benefit was introduced in Finland in 2007. This register study aimed to investigate the use of health-related benefits by subjects with prolonged sickness absence, initially on either partial or full sick leave.</p> <p>Methods</p> <p>Representative population data (13 375 men and 16 052 women either on partial or full sick leave in 2007) were drawn from national registers and followed over an average of 18 months. The registers provided information on the study outcomes: diagnoses and days of payment for compensated sick leaves, and the occurrence of disability pension. Survival analysis and multinomial regression were carried out using sociodemographic variables and prior sickness absence as covariates.</p> <p>Results</p> <p>Approximately 60% of subjects on partial sick leave and 30% of those on full sick leave had at least one recurrent sick leave over the follow up. A larger proportion of those on partial sick leave (16%) compared to those on full sick leave (1%) had their first recurrent sick leave during the first month of follow up. The adjusted risks of the first recurrent sick leave were 1.8 and 1.7 for men and women, respectively, when subjects on partial sick leave were compared with those on full sick leave. There was no increased risk when those with their first recurrent sick leave in the first month were excluded from the analyses. The risks of a full disability pension were smaller and risks of a partial disability pension approximately two-fold among men and women initially on partial sick leave, compared to subjects on full sick leave.</p> <p>Conclusions</p> <p>This is the first follow up study of the newly adopted partial sickness benefit in Finland. The results show that compared to full sick leave, partial sick leave - when not followed by lasting return to work - is more typically followed by partial disability pension and less frequently by full disability pension. It is anticipated that the use of partial benefits in connection with part-time participation in work life will have favourable effects on future disability pension rates in Finland.</p

    Nurse forecasting in Europe (RN4CAST): Rationale, design and methodology

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    Contains fulltext : 97171.pdf (postprint version ) (Open Access)BACKGROUND: Current human resources planning models in nursing are unreliable and ineffective as they consider volumes, but ignore effects on quality in patient care. The project RN4CAST aims innovative forecasting methods by addressing not only volumes, but quality of nursing staff as well as quality of patient care. METHODS/DESIGN: A multi-country, multilevel cross-sectional design is used to obtain important unmeasured factors in forecasting models including how features of hospital work environments impact on nurse recruitment, retention and patient outcomes. In each of the 12 participating European countries, at least 30 general acute hospitals were sampled. Data are gathered via four data sources (nurse, patient and organizational surveys and via routinely collected hospital discharge data). All staff nurses of a random selection of medical and surgical units (at least 2 per hospital) were surveyed. The nurse survey has the purpose to measure the experiences of nurses on their job (e.g. job satisfaction, burnout) as well as to allow the creation of aggregated hospital level measures of staffing and working conditions. The patient survey is organized in a sub-sample of countries and hospitals using a one-day census approach to measure the patient experiences with medical and nursing care. In addition to conducting a patient survey, hospital discharge abstract datasets will be used to calculate additional patient outcomes like in-hospital mortality and failure-to-rescue. Via the organizational survey, information about the organizational profile (e.g. bed size, types of technology available, teaching status) is collected to control the analyses for institutional differences.This information will be linked via common identifiers and the relationships between different aspects of the nursing work environment and patient and nurse outcomes will be studied by using multilevel regression type analyses. These results will be used to simulate the impact of changing different aspects of the nursing work environment on quality of care and satisfaction of the nursing workforce. DISCUSSION: RN4CAST is one of the largest nurse workforce studies ever conducted in Europe, will add to accuracy of forecasting models and generate new approaches to more effective management of nursing resources in Europe

    Ortodonsia at a glance

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    vii,150 hlm

    Ortodonsia at a glance

    No full text
    vii,150 hlm
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