New Technologies to Improve Pain, Anxiety and Depression in Children and Adolescents with Cancer: A Systematic Review.
María Mar López RodríguezAlejandro Fernández-MillanMaría Dolores Ruiz-FernandezIria Dobarrio-SanzIsabel María Fernandez-MedinaPublished in: International journal of environmental research and public health (2020)
Pain, anxiety, or depression are very prevalent in children and adolescents with cancer, which is a great challenge for health professionals. Several studies pointing out the positive effect of technology on the management of symptoms have been published in recent years. Considering these studies is important in order to reduce the negative impact on the quality of life of this population. This study aimed to analyze the available evidence and to describe the benefits of the new technologies in the treatment of pain, anxiety, and depression in children and adolescents with cancer. A systematic search using six electronic databases was conducted to identify studies using technological interventions with a focus on pain, anxiety, and depression that were published from 2008 to 2018 including oncology patients from 0-18 years old. Out of the 1261 studies that were identified, five studies met the inclusion criteria for this systematic review. Robots were used in two studies, providing amusement and social interventions that showed significant improvements. Virtual reality, a mobile application, and a videogame were used in three studies and obtained beneficial results in pain and anxiety. The studies included in this review suggest that new technologies can be used as an innovative form of non-pharmacological intervention with therapeutic benefits.
Keyphrases
- chronic pain
- case control
- systematic review
- pain management
- neuropathic pain
- papillary thyroid
- randomized controlled trial
- healthcare
- physical activity
- sleep quality
- squamous cell carcinoma
- spinal cord
- squamous cell
- spinal cord injury
- machine learning
- mental health
- ejection fraction
- virtual reality
- tyrosine kinase
- deep learning
- lymph node metastasis
- childhood cancer