Type2 Diabetes Mellitus Clinical Trial
Official title:
A Randomised Controlled Trial on a Nurse-led Smartphone-based Self-management Programme for Type 2 Diabetes Patients With Poor Glycaemic Control
Aim. To develop and compare a nurse-led smartphone-based self-management programme with an
existing nurse-led diabetes service on health-related outcomes of type 2 diabetes patients
with poor glycaemic control in Singapore.
Background. Over the past decades, Asia has emerged as the 'diabetes epicentre' in the world
due to rapid economic development, urbanisation, and nutrition transition. There is an
urgent need to develop more effective care management strategies in response to this rising
diabetes epidemic.
Design. A randomised controlled trial with pre- and repeated post-tests control group
design.
Methodology. A total of 128 type 2 diabetes patients with poor glycaemic control will be
recruited from the diabetes clinic of a public acute hospital in Singapore through
convenience sampling. Study participants will be randomly allocated either to the
experimental group or the control group. Outcome measures will 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. Data will be collected at three time points: baseline, 3
months, and 6 months from the baseline.
Discussion. It is expected that this programme will be an alternative 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. Furthermore, the
self-supporting and less resource-intensive nature of this programme, through the use of a
smartphone application as the mode of intervention delivery, will greatly reduce nurses'
direct contact time with patients and allow more time to be allocated to those who require
more attention.
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.
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