Diabetes Clinical Trial
Official title:
Long-term Effectiveness of the Diabetes Conversation Map Program: A Pre-post Education Intervention Study Among Diabetic Patients in Taiwan
The Diabetes Conversation Map Program (DCMP) is a novel, group-based, interactive diabetes management education program that has been shown to help patients adapt to their disease. So the investigators aimed to examine the long-term effectiveness of the DCMP among diabetes patients in Taiwan.
Study design and participants
A quasi-experimental pre-posttest control group design, with purposive sampling, was used to
recruit participants from the Endocrinology department of a hospital in southern Taiwan from
January to May of 2014. The inclusion criteria were (i) being at least 20 years old at the
time of recruitment (ii) having no cognitive impairment and severe complications, (iii)
being able to express opinions in either Mandarin or Taiwanese, and (iv) having a diagnosis
of diabetes. To ensure participants' anonymity, all questionnaires were marked with an
encryption code to facilitate data analysis, but with no personal identifiers.
Sample size calculation
Sample size calculation for this analysis of repeated measures to detect an effect size of
0.2 at 80% power and a 0.05 significance level indicated that a sample size of 68 patients
is needed (according to G- POWER 3.1 analytical software, Franz Faul, Universitat Kiel,
Germany). A sample of at least 89 participants for both groups combined was required on the
basis of these parameters, allowing for a 30% attrition rate.
Intervention
Because continued participation was essential for this study, the participants were divided
into the experiment or control group in accordance with the personal willingness. The
control group received routine health education lasting for about 30 minutes per medical
visit, which consisted of consultation about disease symptoms, related treatments, and
self-care skills. They would receive health education instruction leaflets for reference
purposes if necessary.
The experiment group received seven Diabetes Conversation Map Program (DCMP) -based group
education sessions (10-12 participants, 1.5 hours each) for seven consecutive weeks in
addition to routine health education at a private room in the outpatient unit. One
registered nurse who received DCMP facilitator training, from the Taiwanese Association of
Diabetic Educators, served as the class facilitator. DCMP sessions were conducted using
seven colored "maps" covering different topics, including "walk with diabetes," "what is
diabetes?", "a healthy diet and exercise," "walk with insulin," "diabetes complications and
related risk factors," "foot care for diabetes patients," and "a type 1 diabetes patient in
the home." Each map, a laminated 3-by-5-foot table-top visual with colorful drawings as
metaphors of situations familiar to DM patients, was placed on a table with participants
gathered around it. This procedure served to create mutual imagery to be shared with
participants. In addition to using these colored maps, the facilitator further offered
participants self-designed conversation cards and asked them to share individual glycemic
control experiences based on the questions shown on the cards.
Outcome measures
The primary outcomes comprised the weekly self-monitoring of blood glucose (SMBG) times and
some biochemical parameters containing BMI, HbA1c and fasting plasma glucose (FPG). In
addition, the depressive symptoms as well as the level of diabetes health literacy were also
measured, which were determined by the Taiwanese Depression Questionnaire (TDQ) and a
self-administered questionnaire regarding diabetes health literacy.
The TDQ was developed according to the criteria specified by the Diagnostic and Statistical
Manual of Mental Disorders (Third Edition) and consists of 18 self-reported items. Its total
score ranged from 0 to 54, with higher scores indicating more severe depressive symptoms.
On the other hand, as to the diabetes health literacy, it was measured by a self-developed
questionnaire. This scale contained 20 items and was scored using a 5-point Likert scale,
with higher total scores indicating more positive diabetic health literacy.
Covariates Additional items addressing demographic and disease characteristics were
developed based on clinical experience and literature review, and were collected at study
entry via patient interviews and medical records. Demographic data included sex, age,
marital status, education level, religion, household status, monthly income, and certain
lifestyle factors, such as smoking, exercise habits, and presence of sleep disturbances.
Smoking status was recorded as "non-smoker" or "current or ex-smoker." Those who exercised
regularly (i.e., weekly) were classified as having "exercise habits." Sleep disturbances
were defined as waking up at night more than twice without external factors during the week
before the interview. Disease characteristics included the presence of chronic disease
(i.e., stroke, hypertension, heart disease, renal disease, or cancer), medication regimen,
and duration of diabetes.
Data collection procedure
The study protocol was approved by the Ethics Committee of Dalin Tzuchi Hospital (No.
B10002009) prior to the recruitment of participants. Researchers explained the purpose of
study and its procedure to all participants. Signed informed consent was obtained after they
understood and agreed to participate in this study. Thereafter, investigators applied an
observer-blind approach for data collection. A trained interviewer, who was not familiar
with the participants, was assigned to collect the participants' information on demographic
and disease characteristics. All data were obtained at three time points: before DCMP (T0),
three days after DCMP (T1), and three months after DCMP (T2). To reduce the dropout rate,
researchers asked participants to return the hospital for the completion of assessments via
phone reminders. However, participants were still given the option to withdraw from the
study at any time without any penalty.
Statistical analysis
Descriptive and inferential statistical analyses were conducted in accordance with the study
aims and the nature of the variables. Descriptive parameters, including mean, standard
deviation (SD), and percentage, were used to describe the distributions of demographic and
disease data. Differences between the two groups were compared initially using t-test and χ2
test as appropriate. For inferential analysis, investigators used generalized estimating
equation (GEE) procedure with identity link function with normal distribution to assess the
long-term effects of DCMP, while taking into account within-subject correlations between
measurements over time and the influence of potential confounding covariates. All analyses
were conducted using SAS statistical software, Version 9.3. A p value of < .05 was
considered statistically significant.
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