The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology.
Adrian AguileraCourtney Rees LylesPublished in: JMIR diabetes (2017)
It is well publicized that mobile and digital technologies hold great promise to improve health outcomes among patients with chronic illnesses such as diabetes. However, there is growing concern that digital health investments (both from federal research dollars and private venture investments) have not yet resulted in tangible health improvements. We see three major reasons for this limited real-world impact on health outcomes: (1) lack of solutions relevant for patients with multiple comorbidities or conditions, (2) lack of diverse patient populations involved in the design and early testing of products, and (3) inability to leverage existing clinical workflows to improve both patient enrollment and engagement in technology use. We discuss each of these in depth, followed by new research directions to increase effectiveness in this field.
Keyphrases
- healthcare
- public health
- type diabetes
- mental health
- end stage renal disease
- cardiovascular disease
- case report
- ejection fraction
- chronic kidney disease
- depressive symptoms
- glycemic control
- peritoneal dialysis
- physical activity
- metabolic syndrome
- cancer therapy
- human health
- climate change
- patient reported outcomes
- machine learning
- big data
- skeletal muscle