Contemporary challenges Flashcards
Burnout - contributing factors
- Long hours/shift work
- Increased workload
- High-stress/dangerous environment
- Lack of support
- Emotional strain
- Resource/staff shortages
- Exposure to aggression/bullying
- Illness
Burnout - symtoms
- Emotional - indifference/numbness, loss of motivation, irritability, low mood, concentration issues, anxiety.
- Physical - fatigue, poor sleep, loss of appetite, recurrent illness.
- Behavioural - isolation/withdrawn, absenteeism, increased errors.
Burnout - strategies
- Mindfulness - reflection, breathing exercises.
- Lifestyle - diet, exercise and sleep habits.
- Support - peer support, workplace resources, counselling.
- Breaks from work
Burnout (define)
Decrease in mental and/or physical energy as a result of the cumulative effects of chronic, unrelieved work-related stress. Contributes to decreased work performance, reduced job satisfaction and high staff turnover rates.
Automaton technologies
Pros - support people with cognitive/motor/sensory impairments, caregivers and clinical workforce.
Cons - lack of nursing involvement in design, cost-benefit for planet resources, changes in nursing practice/workforce.
Technology implications for nursing
- Nursing education and up-skilling - informatics, digital health, data science.
- Nursing leadership in digital health research and design
- Re-envision nurse-patient relationships - virtual healthcare models,
Electronic health records
Pros - easier/convenient, transferrable/accessible, structured, storage capacity, data completeness.
Cons - privacy/data protection, system interface/design problems,
Social media
Pros - health awareness campaigns, promotion of nursing, connecting public/professionals.
Cons - unreliability of health information, privacy, workplace bullying.
Telehealth
Pros - pandemics, rural/remote patients, global health.
Cons - requires technical skills, privacy/data control.
Clinical decision support systems
Pros - detect infectious disease and trigger appropriate actions.
Cons - over-alerting clinicians, disrupt workflow/decision-making, limited utility in critical areas (e.g. ED).
Artificial Intelligence
Pros - decision-support systems to identify infection, pandemic response- tracing and population health response.
Cons - biases in datasets become ingrained in AI algorithms, ethics/accountability of generated decisions (incl. privacy, transparency), lack of nursing involvement in development.
COVID-19 (impacts)
- Staff shortages - illness, burnout.
- Multi-skilling - PPE/quarantine, infectious disease control, mental health.
- Digital health - telehealth, video conferencing, DIY health apps.
- Mental health
- Interactions - communication, touch, visitors.
- Professional image
Healthcare shortages
- Workforce - nurses/midwives.
- Hospital beds
- Ambulance ramping
- Waitlists - elective surgeries, mental health, specialist services.
Ageing population (impacts)
- Increased complex chronic health issues - CVS disease, dementia, DM, obesity, CKD, COPD, cancer.
- Ageing workforce and workforce shortage
- Increased burden on healthcare - GPs, specialists, ED, hospitalisation, elective surgery, mental health.
New Grad challenges
- Reality shock
- Shift work
- Dynamic environment
- Professional transition