Exploring the relationship between self-management behaviour, family function and health information adoption behaviour in Chinese diabetic foot patients: a mixed-methods study protocol.
Xueqing WangPanpan TangLin LiYueying JiangYuan ZhaoLeiwen TangJing ShaoDan Dan ChenPublished in: BMJ open (2023)
This study received ethical clearance from the Ethics Review Committee, the affiliated Sir Run Run Shaw Hospital of Medicine School, Zhejiang University (approval no: 2023-0145). All data collection processes will abide by health and safety measures required by the national government. Written informed consent will be obtained from all participants. The study will produce one paper that will be disseminated, to local stakeholders and participants, via local and international conferences and publications in peer-reviewed journals.
Keyphrases
- health information
- healthcare
- end stage renal disease
- public health
- mental health
- randomized controlled trial
- chronic kidney disease
- newly diagnosed
- ejection fraction
- big data
- electronic health record
- systematic review
- machine learning
- peritoneal dialysis
- quality improvement
- prognostic factors
- artificial intelligence
- climate change
- deep learning
- patient reported outcomes
- decision making
- meta analyses
- data analysis