Conectar
Type 2 diabetes is a prevalent chronic disease, associated with health complications, premature morbidity and significant healthcare costs. Optimal lifestyle behaviour control and patient self-management are crucial for improving diabetes control; however, they are difficult to achieve in primary care. There is limited research on the use of information from wearable devices to encourage behaviour change. This study will examine the effectiveness and cost-effectiveness of a multi-component health behaviour intervention in achieving clinically significant reductions in haemoglobin A1c (HbA1c) among general practice patients with type 2 diabetes.
The study uses a cluster-randomised controlled design, with general practices randomly assigned to either the Wearables Integrated Technology (WEAR-IT) intervention (n=15) or usual care (n=15). To achieve a sample size of 375 participants, 12–13 patients per practice will be recruited. Patients diagnosed with type 2 diabetes will be eligible to participate if they are aged 18–75 years; have had poorly controlled diabetes (HbA1c≥7.5%), with the cognitive capacity and ability to access the intervention application via an iOS or Android smart device. The WEAR-IT self-management intervention combines information from wearable devices (physical activity, blood glucose and blood pressure) and the electronic medical record, with goal setting and coaching support. The intervention will be primarily delivered by the general practice nurse, with review and confirmation of goals by the general practitioner. Participants attending the usual care practices will receive standard care. Outcome measures, including HbA1c, lipids, blood pressure, quality of life, dietary and exercise behaviours and cost-effectiveness, will be collected at baseline, 6-month (primary endpoint) and 12-month post-randomisation. The primary analysis will compare the change in HbA1c between the intervention and control groups at 6-month follow-up, with long-term outcomes assessed at 12-month post-randomisation.
The study was approved by Bond University (BH00137). Results will be disseminated through peer-reviewed journal publications, conference presentations and summaries to participating sites and patients.
Australian New Zealand Clinical Trials Registry (ACTRN12624000957594).
To examine survivors' experiences of discharge information including risk communication after hospitalisation for a stroke and the characteristics associated with receiving information in accordance with their preferences.
With advances in acute stroke care and an ageing population, the number of survivors of stroke is increasing. It is important that healthcare providers ensure patients have adequate information after a stroke-related hospitalisation.
Cross-sectional study.
Adults recently discharged after a stroke from eight Australian hospitals were mailed a survey. Items examined risk and discharge care information, with participants asked to indicate both their preferences for and receipt of the information. Concordance with preferences was calculated, and characteristics associated with information preference concordance were assessed with binomial logistic regression. Study reported in accordance with STROBE Checklist.
Of 1161 eligible patients invited, 403 (35%) completed the survey. All items were endorsed by 80% or more of respondents as being wanted. However, for all items, fewer respondents reported the care as received. Only 28% of participants received information on all five items according to their preferences. Hospital site, Body Mass Index and age were statistically significantly associated with participants receiving information in accordance with their preferences.
Most participants indicated a preference to receive recommended discharge information. Findings suggest that patients may benefit from increased information provision prior to hospital discharge after stroke.
Nurses have an important role in the provision of stroke care and information. The findings of this study may be used to improve the provision of post-hospital discharge care and support for survivors of stroke, and assist in identifying patients at lower odds of experiencing information aligned with their preferences and who may benefit from support.
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies.
No patient or public contribution.
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