A Nurse-led Smartphone-based Self-management Programme for Type 2 Diabetes Patients With Poor Blood Glucose Control

Specific Aims

The aims of this study are:

1. to develop a nurse-led smartphone-based self-management programme (NSSMP) for patients with type 2 diabetes;
2. to compare the NSSMP with an existing nurse-led diabetes service (NDS) on self-efficacy, diabetes self-care activities, health-related quality of life (HRQoL), glycaemic control, acute diabetes complications (e.g. hypoglycaemia, Diabetic Ketoacidosis [DKA] and Hyperosmolar Hyperglycemic Syndrome [HHS]), and health-service use among type 2 diabetes patients with poor glycemic control in Singapore.

Study Hypotheses

Study participants will be randomized into an existing NDS group (i.e. control group) and a newly developed NSSMP group (i.e. experimental group). It is hypothesized that participants in the NSSMP group as compared with participants in the NDS group will have significantly:

1. Higher level of self-efficacy;
2. Increased level of diabetes self-care activities;
3. More positive perceived health-related quality of life;
4. Reduced glycosylated haemoglobin (HbA1c) and acute diabetes complications (e.g. hypoglycaemia, Diabetic Ketoacidosis [DKA] and Hyperosmolar Hyperglycemic Syndrome [HHS] ); and
5. Reduced usage of health services (e.g. diabetes-related hospital readmission, emergency room attendance, and unplanned medical consultation).

Approach Adopted in This Study Development of NSSMP: A nurse-led smartphone-based self-management programme, or NSSMP for short, will be developed by the study team. The model of self-efficacy will be used to guide the development of the NSSMP to ensure it would be theoretically sound and empirically tested. The NSSMP is a 6-month programme comprising an individual education session, and a newly developed smartphone App as a self-help education resource. The NSSMP involves the use of a smartphone, internet, and communication technologies to assist patients to manage their disease at homes or wherever they are. Patient's health data will be monitored by their smartphones. All the data will be synchronized to a web-connected portal on a remote server. The nurse would be able to access the participant's data (e.g. blood glucose, exercise, blood pressure, body weight, diet) through the web-connected portal so that the individualized care and consultation could be rendered through the tele or video conference.

Study design, setting and participants: A randomized controlled trial with a pre- and repeated post-test control group design is adopted. A convenience sample of 128 type 2 DM patients with poor glycemic control will be recruited from the Diabetes Clinic of National University Hospital (NUH). Study participants will be randomly assigned either to a 6-month NSSMP group (i.e experimental group) or the NDS group (i.e. control group). The existing NDS for DM patients in the NUH consists of face-to-face patient education sessions plus telephone follow-ups. The patients are required to return back to the Diabetes Clinic to attend the educations sessions based on the scheduled appointment. They are instructed to measure blood glucose at home and modes of contact (voicemail, fax and email address) are given for reporting the glucose readings weekly. If the patient does not report, the nurse will have to make calls or send SMS message to the patient to follow up their blood glucose results. The nurses would then provide telephone counselling services to the patients where needed based on the blood glucose results, and sometime would request patients coming back to the Diabetes Clinic to see the doctors and the diabetes advanced practice nurses.

Outcome measures: Study outcome measures include the 10-item General Self-Efficacy Scale, 11-item Revised Summary of Diabetes Self-care Activities, and 19-item Diabetes-Dependent Quality of Life which will be used to measure self-efficacy, level of diabetes self-care activities, and health-related quality of life of the participants respectively. The participant's socio-demographic and clinical data (e.g. HbA1c, acute diabetes complications, and lipid level) will be also collected. Data will be collected at 3 time points: baseline (i.e. pre-test), 3 months from baseline (post-test 1), and 6 months from the baseline (post-test 2). The health service use (e.g. diabetes-related hospital readmission, emergency room attendance, and unplanned medical consultation) will be also assessed at the 6th month of the end of the programme.

Data analysis: The IBM SPSS 23.0 will be used for data entry and analysis. Intention-to-treat will be adopted in data analysis. Repeated measures analysis of covariance will be used to examine the differences between, within, and the interaction (group x time) effects on each continuous outcome. Confounding variables (e.g. age), will be controlled as covariate in the analysis. The Chi-squared test or Fisher's exact test will be used to test the difference of the incidence of acute diabetes complications and the numbers of health service use between the two groups. All statistical tests will be two-tailed, and a p \< 0.05 is used to indicate statistical significance.

Study Significance If the NSSMP is demonstrated to be effective in this study, a smartphone App developed in this project can be provided to all DM patients and their family members/caregivers as a self-help education resource at home. It will provide and equip knowledge to the patient and their family members/caregivers to enhance their knowledge and skills in management of diabetes so as to achieve the expected patient outcomes in improving self-efficacy, diabetes self-care activities, HRQoL, and clinical outcomes. It is expected that this programme will be an option that can be offered to diabetes patients to master their self-care management skills in addition to the existing diabetes service provided in diabetes clinics in Singapore hospitals where patients with poorly controlled condition are being monitored. In addition, the independent nature of this programme with application of technology will greatly reduce nurses' contact time with patients which accord them more time for those who require more time, for example, those afflicted with diabetes-related complications. This will result in a more efficient use of healthcare resources in the long run. Eventually, this programme will be available for all diabetes patients living in the community.

Feasibility of the Study The research team comprises experienced researchers from different disciplines. The PI has extensive research experience in the area of chronic diseases management and mHealth intervention. Two Co-Is are practised clinicians in diabetes care, they will facilitate the access to potential study participants and oversee the implementation of the project. One Co-I has the expertise in biomedical engineering, mobile App development, and information management. He and his team will be in charge of developing the system. In addition, the preliminary integrative literature review and qualitative patient interviews were performed to inform the development of the content for the mobile app. Through harnessing the technology, the smartphone App based platform can be established to reduce the contact time with patients for the healthcare providers.