Specialised nursing tasks in cancer care and their effects.
Teresa WitzkeAdele StojanovJohanna RistauBirte Berger-HögerChristina Louise LindhardtKatrin BalzerAnne Christin RahnPublished in: Pflege (2023)
Background: Several reviews are available on the effects of specific nursing tasks in oncology care. However, a synthesis across cancer entities and stages is lacking. Aim: To synthesise the results of reviews assessing the scope and effectiveness of tasks of nurses specifically qualified in cancer care. Methods: We conducted an Umbrella Review based on systematic searches in six databases and a search for grey literature following a priori-defined inclusion criteria. Further steps: standardised data extraction and quality assessment, determination of the degree of overlap, and structured narrative summary on outcome measures of health-related quality of life, symptom burden, utilisation of care services/resources, and patient satisfaction. All reviews were categorised according to the EONS Cancer Nursing Education Framework and the Omaha System Intervention Scheme. Results: After screening 2,657 references, 11 reviews (10 high quality) for a total of 148 studies were included. Specially qualified nurses and advanced practice nurses take on a variety of tasks in the disease process, especially related to education, counselling, and case management. Effects on outcome measures are mixed, with increased indications of reduced symptom burden. Conclusion: Specially qualified nurses with expanded roles have the potential to contribute to improved oncology care. This emphasises the importance of appropriate task profiles and qualification programs. More well-reported studies based on theoretical framework models are needed.
Keyphrases
- healthcare
- quality improvement
- mental health
- working memory
- palliative care
- papillary thyroid
- patient satisfaction
- randomized controlled trial
- systematic review
- meta analyses
- public health
- squamous cell
- affordable care act
- multiple sclerosis
- high resolution
- hepatitis c virus
- lymph node metastasis
- risk assessment
- chronic pain
- deep learning
- human immunodeficiency virus
- drug induced
- squamous cell carcinoma