Edinburgh Napier University

About: Edinburgh Napier University is a education organization based out in Edinburgh, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 2665 authors who have published 6859 publications receiving 175272 citations.

Measuring relationships between self‐compassion, compassion fatigue, burnout and well‐being in student counsellors and student cognitive behavioural psychotherapists: a quantitative survey

Abstract: Background: Prolonged deficiency in self-care strategies puts counsellors and psychotherapists at risk of burnout and compassion fatigue. Aim: To measure associations between self-compassion, compassion fatigue, wellbeing and burnout in student counsellors and student cognitive behavioural psychotherapists. Method: A quantitative survey using four validated data collection instruments: (1) Professional Quality of Life Scale; (2) Self-Compassion Scale; (3) short Warwick and Edinburgh Mental Well-being Scale; (4) Compassion For Others scale, was used to measure relationships between self-compassion, compassion fatigue, well-being and burnout. Participants: A mixed sample of student counsellors and student cognitive behavioural psychotherapists (n = 54) in their final year of study. Results: This preliminary study shows that student counsellors and student cognitive behavioural psychotherapists who reported high on measures of self-compassion and well-being also reported less compassion fatigue and burnout. Implications for practice: Compassion fatigue and burnout are found in many modern-day, highly stressful healthcare professions. The practice of self-compassion could help student practitioners manage these symptoms and subsequently improve their professional quality of life.

Improving reporting of meta‐ethnography: The eMERGe reporting guidance

Abstract: © 2019 The Authors. Journal of Advanced Nursing Published by John Wiley & Sons Ltd. Aims: The aim of this study was to provide guidance to improve the completeness and clarity of meta-ethnography reporting. Background: Evidence-based policy and practice require robust evidence syntheses which can further understanding of people's experiences and associated social processes. Meta-ethnography is a rigorous seven-phase qualitative evidence synthesis methodology, developed by Noblit and Hare. Meta-ethnography is used widely in health research, but reporting is often poor quality and this discourages trust in and use of its findings. Meta-ethnography reporting guidance is needed to improve reporting quality. Design: The eMERGe study used a rigorous mixed-methods design and evidence-based methods to develop the novel reporting guidance and explanatory notes. Methods: The study, conducted from 2015 - 2017, comprised of: (1) a methodological systematic review of guidance for meta-ethnography conduct and reporting; (2) a review and audit of published meta-ethnographies to identify good practice principles; (3) international, multidisciplinary consensus-building processes to agree guidance content; (4) innovative development of the guidance and explanatory notes. Findings: Recommendations and good practice for all seven phases of meta-ethnography conduct and reporting were newly identified leading to 19 reporting criteria and accompanying detailed guidance. Conclusion: The bespoke eMERGe Reporting Guidance, which incorporates new methodological developments and advances the methodology, can help researchers to report the important aspects of meta-ethnography. Use of the guidance should raise reporting quality. Better reporting could make assessments of confidence in the findings more robust and increase use of meta-ethnography outputs to improve practice, policy, and service user outcomes in health and other fields. This is the first tailored reporting guideline for meta-ethnography. This article is being simultaneously published in the following journals: Journal of Advanced Nursing, Psycho-oncology, Review of Education, and BMC Medical Research Methodology.

A Two-stage Housing Choice Forecasting Model:

Abstract: A new housing choice forecasting model is developed here to answer a practical question: how to forecast housing demand at a disaggregate level. Being different from the previous housing choice mod...

Implications of Congestion Charging for Departure Time Choice: Work and Non-Work Schedule Flexibility

Abstract: The objective of this paper is to investigate the potential impacts of implementing variable congestion charging on the peak spreading of departure time choices, taking into account levels of scheduling flexibility of individuals. In particular, this study addresses non-work activities as well as socio-economic characteristics and their influence on scheduling flexibility for work trips. Departure time choice models were calibrated using data collected as part of a larger survey on the consequences of congestion charging on travel choices in the city of Edinburgh. The inclusion of variables related to work and non-work scheduling, as well as socio-economic variables have improved the performance of the models. This suggests that non-work activities, as well as work schedule flexibility have an impact on departure time choice for the journey to work. This means that even for those with flexible work schedules, but with other non-work commitments, the timing of their work trip may not be so flexible. Therefore, for the success of variable congestion charging schemes, other complimentary measures should be introduced in parallel. These include, for example, child care provision at work, opening hours of shops and leisure facilities.