Cancer care and management during COVID-19: A comparison of in-person, video and telephone consultations.
Annie BanburyAnthony Carl SmithMonica L TaylorCarolyn Der VartanianKawai NgKathryn VitangcolHelen M HaydonEmma E ThomasLiam J CafferyPublished in: Journal of telemedicine and telecare (2022)
In Australia, the COVID-19 pandemic has resulted in the exponential growth in the delivery of telehealth services. Medicare data indicates that the majority of telehealth consultations have used the telephone, despite the known benefits of using video. The aim of this study was to understand the perceived quality and effectiveness of in-person, telephone and videoconsultations for cancer care. Data was collected via online surveys with consumers ( n = 1162) and health professionals ( n = 59), followed by semi-structured interviews with telehealth experienced health professionals ( n = 22) and consumers ( n = 18). Data were analysed using descriptive statistics and significance was tested using the chi-square test. A framework analysis and thematic analysis were used for qualitative data. Results indicate telehealth is suitable for use across the cancer care pathway. However, consumers and health professionals perceived videoconsultations facilitated visual communication and improved patients' quality of care. The telephone was appropriate for short transactional consultations such as repeat prescriptions. Consumers were rarely given the choice of consultation modality. The choice of modality depended on a range of factors such as the type of consultation and stage of cancer care. Hybrid models of care utilising in-person, video and telephone should be developed and requires further guidance to promote the adoption of telehealth in cancer care.
Keyphrases
- electronic health record
- palliative care
- healthcare
- big data
- quality improvement
- mental health
- end stage renal disease
- systematic review
- physical activity
- social support
- depressive symptoms
- randomized controlled trial
- primary care
- affordable care act
- newly diagnosed
- ejection fraction
- chronic kidney disease
- general practice
- cross sectional
- data analysis
- prognostic factors
- pain management
- machine learning
- peritoneal dialysis
- deep learning
- patient reported outcomes