Development of self-efficacy questionnaire for Chinese family caregivers

The purpose of this study was to develop a Self-Efficacy Questionnaire for Chinese Family Caregivers. Semi-structured interviews with 10 family caregivers of people with dementia were conducted to explore how Chinese caregivers manage caregiving and what difficulties they face. The findings of the study assisted in the development of the instrument. Five categories of caregiver behaviours were identified from the qualitative data: gathering information about treatment, symptoms, and health care; obtaining support; responding to behaviour disturbances; managing household, personal, and medical care; and managing distress associated with caregiving. The challenges of caregiving were also identified, including deterioration of care recipients, particularly their behaviour disturbances, a shortage of supportive resources, stigmatization of dementia among the general population, as well as increased distress and decreased social activities due to increased care demand. The findings were used to develop the Self-Efficacy Questionnaire for Chinese Family Caregivers, and 35 items comprising five subscales (representing the above five categories of caregiver behaviour) were generated.

When non-significance may be significant : lessons learned from a study of the development, implementation and evaluation of a fleet risk assessment tool

This paper reports on the development and implementation of a self-report risk assessment tool that was developed in an attempt to increase the efficacy of crash prediction within Australian fleet settings. This study forms a part of a broader program of research into work related road safety and identification of driving risk. The first phase of the study involved a series of focus groups being conducted with 217 professional drivers which revealed that the following factors were proposed to influence driving performance: Fatigue, Knowledge of risk, Mood, Impatience and frustration, Speed limits, Experience, Other road users, Passengers, Health, and Culture. The second phase of the study involved piloting the newly developed 38 item Driving Risk Assessment Scale - Work Version (DRAS-WV) with 546 professional drivers. Factor analytic techniques identified a 9 factor solution that was comprised of speeding, aggression, time pressure, distraction, casualness, awareness, maintenance, fatigue and minor damage. Speeding and aggressive driving manoeuvres were identified to be the most frequent aberrant driving behaviours engaged in by the sample. However, a series of logistic regression analyses undertaken to determine the DRAS-WV scale’s ability to predict self-reported crashes revealed limited predictive efficacy e.g., 10% of crashes. This paper outlines proposed reasons for this limited predictive ability of the DRAS-WV as well as provides suggestions regarding the future of research that aims to develop methods to identify “at risk” drivers.