The Feasibility of Health Trainer Improved Patient Self-Management in Patients with Low Health Literacy and Poorly Controlled Diabetes: A Pilot Randomised Controlled Trial.
Joanne ProtheroeTrishna RathodBernadette BartlamGillian RowlandsGerry RichardsonDavid ReevesPublished in: Journal of diabetes research (2016)
Type 2 diabetes mellitus is most prevalent in deprived communities and patients with low health literacy have worse glycaemic control and higher rates of diabetic complications. However, recruitment from this patient population into intervention trials is highly challenging. We conducted a study to explore the feasibility of recruitment and to assess the effect of a lay health trainer intervention, in patients with low health literacy and poorly controlled diabetes from a socioeconomically disadvantaged population, compared with usual care. Methods. A pilot RCT comparing the LHT intervention with usual care. Patients with HbA1c > 7.5 (58 mmol/mol) were recruited. Baseline and 7-month outcome data were entered directly onto a laptop to reduce patient burden. Results. 76 patients were recruited; 60.5% had low health literacy and 75% were from the most deprived areas of England. Participants in the LHT arm had significantly improved mental health (p = 0.049) and illness perception (p = 0.040). The intervention was associated with lower resource use, better patient self-care management, and better QALY profile at 7-month follow-up. Conclusion. This study describes successful recruitment strategies for hard-to-reach populations. Further research is warranted for this cost-effective, relatively low-cost intervention for a population currently suffering a disproportionate burden of diabetes, to demonstrate its sustained impact on treatment effects, health, and health inequalities.
Keyphrases
- health information
- mental health
- healthcare
- randomized controlled trial
- type diabetes
- public health
- case report
- cardiovascular disease
- study protocol
- glycemic control
- low cost
- palliative care
- social media
- health promotion
- quality improvement
- ejection fraction
- machine learning
- chronic pain
- prognostic factors
- metabolic syndrome
- chronic kidney disease
- mental illness
- climate change
- data analysis