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Full-Text Articles in Medicine and Health Sciences
Does Education Level Influence The Practice Profile Of Advanced Practice Nursing?, Christine Duffield, Glenn Gardner, Anna Doubrovsky, Marg Adams
Does Education Level Influence The Practice Profile Of Advanced Practice Nursing?, Christine Duffield, Glenn Gardner, Anna Doubrovsky, Marg Adams
Research outputs 2014 to 2021
Background Advanced practice nursing is recognised globally as central to meeting this community need. Whilst there is increasing recognition that advanced practice nurses should be educated to at least a master degree level, there is scant evidence on the influence of higher education on the practice profile of advanced practice nursing. Aim To investigate the relationship between level of education and domain practice scores of nurses in advanced practice roles. Methods The validated Advanced Practice Nursing Role Delineation (APRD) tool was used to measure the practice profile of advanced practice nurses at different postgraduate education levels, across five domains of …
Comparing An Ehealth Program (My Hip Journey) With Standard Care For Total Hip Arthroplasty: Randomized Controlled Trial, Rosemary Saunders, Karla Seaman, Laura Emery, Max Bulsara, Catherine Ashford, Judith Mcdowall, Karen Gullick, Beverley Ewens, Trudy Sullivan, Charlotte Foskett, Lisa Whitehead
Comparing An Ehealth Program (My Hip Journey) With Standard Care For Total Hip Arthroplasty: Randomized Controlled Trial, Rosemary Saunders, Karla Seaman, Laura Emery, Max Bulsara, Catherine Ashford, Judith Mcdowall, Karen Gullick, Beverley Ewens, Trudy Sullivan, Charlotte Foskett, Lisa Whitehead
Research outputs 2014 to 2021
Background: The role of eHealth programs to support patients through surgical pathways, including total hip arthroplasty (THA), is rapidly growing and offers the potential to improve patient engagement, self-care, and outcomes. Objective: The aim of this study is to compare the effects of an eHealth program (intervention) versus standard care for pre- and postoperative education on patient outcomes for primary THA. Methods: A prospective parallel randomized controlled trial with two arms (standard care and standard care plus access to the eHealth education program) was conducted. Participants included those who underwent THA. Outcome measures were collected preadmission, at 6 weeks, and …
The Psychosocial Impact Of Rare Diseases Among Children And Adolescents Attending Mainstream Schools In Western Australia, Esther A. Adama, Diana Arabiat, Mandie Foster, Ebenezer Afrifa-Yamoah, K. Runions, R. Vithiatharan, A. Lin
The Psychosocial Impact Of Rare Diseases Among Children And Adolescents Attending Mainstream Schools In Western Australia, Esther A. Adama, Diana Arabiat, Mandie Foster, Ebenezer Afrifa-Yamoah, K. Runions, R. Vithiatharan, A. Lin
Research outputs 2014 to 2021
Living with a long-term medical condition is associated with heightened risk for mental health and psychosocial difficulties, but further research is required on this risk for children and adolescents with a rare disease in the educational setting. The aim of this study is to describe parents’ perceptions of the psychosocial impact of rare diseases on their school-aged children in Western Australia. A cross-sectional survey of 41 parents of school-aged children and adolescents diagnosed with a rare disease completed an online questionnaire. Questions related to their perceptions of health-related stigma, bullying, social competencies and mental health difficulties faced by their child. …
The Sleep Of Shift Workers In A Remote Mining Operation: Methodology For A Randomized Control Trial To Determine Evidence-Based Interventions, Gemma Maisey, Marcus Cattani, Amanda Devine, Johnny Lo, Ian C. Dunican
The Sleep Of Shift Workers In A Remote Mining Operation: Methodology For A Randomized Control Trial To Determine Evidence-Based Interventions, Gemma Maisey, Marcus Cattani, Amanda Devine, Johnny Lo, Ian C. Dunican
Research outputs 2014 to 2021
© Copyright © 2021 Maisey, Cattani, Devine, Lo and Dunican. Shiftwork may adversely impact an individual’s sleep-wake patterns and result in sleep loss ( < 6 h. following night shift), due to the circadian misalignment and the design of rosters and shifts. Within a mining operation, this sleep loss may have significant consequences due to fatigue, including an increased risk of accidents and chronic health conditions. This study aims to (i) determine the efficacy of an intervention that comprises a sleep education program and biofeedback through a smartphone app on sleep quality, quantity, and alertness (ii) determine the prevalence of risk for a potential sleep disorder, and (iii) quantify and describe the sleep habits and behaviors of shift workers in a remote mining operation. This study consists of a randomized controlled trial whereby eighty-eight shift workers within a remote mining operation are randomized to a control group or one of three different treatment groups that are: (i) a sleep education program, (ii) biofeedback on sleep through a smartphone app, or (iii) a sleep education program and biofeedback on sleep through a smartphone app. This study utilizes wrist-activity monitors, biomathematical modeling, and a survey instrument to obtain data on sleep quantity, quality, and alertness. A variety of statistical methods will determine the prevalence of risk for a potential sleep disorder and associations with body mass index, alcohol, and caffeine consumption. A generalized linear mixed model will examine the dependent sleep variables assessed at baseline and post-intervention for the control group and intervention groups, as well as within and between groups to determine changes. The findings from this study will contribute to the current understanding of sleep and alertness behaviors, and sleep problems and disorders amongst shift workers. Importantly, the results may inform fatigue policy and practice on interventions to manage fatigue risk within the mining industry. This study protocol may have a broader application in other shiftwork industries, including oil and gas, aviation, rail, and healthcare.