Patient involvement in surgical wound care research: A scoping review.
Rachel MuirJoan Julie CarliniEmma Louise HarbeckBrigid Mary GillespieHaitham Wadah TuffahaRachel Michell WalkerElizabeth Catherine McInnesSharon Leanne LatimerFrances Fengzhi LinJosh Michael PearcyWendy Pearl ChaboyerPublished in: International wound journal (2020)
Active involvement of patients in planning, conducting, and disseminating research has been adopted by many organisations internationally, but the extent to which this occurs in surgical wound care is not evident. This scoping review aimed to identify how patients have been involved in surgical wound care research and the quality of its reporting. Full-text studies focused on preoperative and postoperative surgical wound care in the acute care setting, published in English between 2004 and 2019, were included in the review. Screening, data charting, and quality assessment were conducted by two reviewers independently, adjudicated by a third, and then reviewed by five others. Thematic analysis synthesised the findings. Of the eight included studies, seven explained the methods for patient involvement and five described aims related to patient involvement and commented on patient involvement in the discussion. None met all of the quality assessment criteria. Three themes emerged: involvement in modifying and refining research processes, connecting and balancing expert and patient views, and sharing personal insights. Recommendations to improve patient involvement in surgical wounds research include the following: using framework and tools to inform future research; training researcher and patients in their respective research roles; and ongoing monitoring of patient involvement.
Keyphrases
- case report
- end stage renal disease
- healthcare
- ejection fraction
- chronic kidney disease
- palliative care
- newly diagnosed
- quality improvement
- prognostic factors
- emergency department
- randomized controlled trial
- acute care
- social media
- electronic health record
- big data
- data analysis
- artificial intelligence
- drug induced
- virtual reality