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2011
Assessment of dietary compliance among patients with type II diabetes receiving text message (SMS) reminder vs. those who do not receive text message
reminder
A Randomized control trial
PROTOCOL FOR THESIS RESEARCH
Gulshan.Bano.eb1003
P R O T O C O L
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ContentsTitle:.............................................................................................................................................3
Background:.................................................................................................................................3
Introduction of Diabetes:.............................................................................................................3
Prevalence of diabetes on a Global scale:....................................................................................3
Prevalence of diabetes in developing world:...............................................................................3
Management of diabetes:.............................................................................................................4
Role of text messages in disease management:...........................................................................5
Rationale:.....................................................................................................................................6
Research question:.......................................................................................................................6
Hypothesis:...................................................................................................................................6
Aim:.............................................................................................................................................7
Objective:.....................................................................................................................................7
Methodology:...............................................................................................................................7
Study setting:................................................................................................................................7
Study design:................................................................................................................................7
Study population:.........................................................................................................................7
Eligibility criteria:........................................................................................................................8
Variables......................................................................................................................................8
Independent variables:.................................................................................................................8
Dependent variable:...................................................................................................................10
Other variables (co-variates):.....................................................................................................11
Plan of operation:.......................................................................................................................12
Identification of the study participants:.....................................................................................12
Tools used to identify the participants (Eligibility form):.........................................................12
Complete data collection tools:..................................................................................................13
Data collectors:..........................................................................................................................13
Detailed procedure and follow up:.............................................................................................13
Sample size calculation:.............................................................................................................14
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Plan of analysis:.........................................................................................................................15
Data Management and Quality Control:....................................................................................16
Training of the data collectors:..................................................................................................16
Pretesting of questionnaire:........................................................................................................16
Quality control of Data:.............................................................................................................16
Data editing:...............................................................................................................................16
Data entry and cleaning:............................................................................................................17
Ethical considerations:...............................................................................................................17
Written consent:.........................................................................................................................17
Confidentiality and rights of the participants:............................................................................17
Ethical approval:........................................................................................................................17
Follow chart:..............................................................................................................................18
References:.................................................................................................................................18
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Title:“Assessment of dietary compliance among patients with type II diabetes receiving text
message (SMS) reminder vs. those who do not receive text message reminder, a randomized control trial”
Background:
Introduction of Diabetes:
Diabetes is a metabolic disorder, characterized by raised blood glucose either when the pancreas
does not produce enough insulin or when the body cannot effectively use the insulin.
Hyperglycemia or raised blood sugar is a common effect of uncontrolled diabetes and over time
leads to serious damage to many of the body's systems, especially the nervous system and Cardio
vascular system.
There are two major types of diabetes, type I and type II. Type I diabetes (formerly called
insulin dependent diabetes mellitus, IDDM or child onset diabetes) is a life-long condition,
affecting children, young people and adults worldwide. Type II diabetes is closely linked with
sedentary life style and obesity[1].
Prevalence of diabetes on a Global scale:
It was estimated that there are over 300 million people suffering from diabetes around the world.
This total is expected to reach close to 500 million within next 20 years. Each year a further 7
million people develop diabetes.[2]
More than 80% of diabetes deaths occur in low and middle-income countries. WHO projects
that, diabetes deaths would double between 2005 and 2030 [3]. The number of deaths
attributable to diabetes in 2010 shows a 5.5% increase over the estimates for the year 2007. This
increase is largely due to a 29% increase in the number of deaths due to diabetes in the North
America & Caribbean Region, a 12% increase in the South East Asia Region and an 11%
increase in the Western Pacific Region [4].
Prevalence of diabetes in developing world:
It was estimated that during 2010 and 2030 there would be 69% increase in the number of cases
of diabetes in developing countries while only 20% increase would be in developed countries.[5]
In developing countries, around half of the people with diabetes are diagnosed without timely
and adequate treatment, leading to exponential rise in complications and morbidity from diabetes
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[4]. As compared to other regions of the world, prevalence of diabetes is very high in Asia. It
was estimated in 2010 that the regional prevalence was 7.0%, and it was expected to increase up
to 8.4 % by 2030 [6]. India and China are considered to have the highest prevalence of diabetes
worldwide. With an estimated 50.8 million people living with diabetes, India has the world’s
largest diabetic population followed by China with an estimated 43.2 million diabetic people [4].
A study was conducted in India, which shows that the prevalence in females was 16.7% while in
males it was 9.7% [7]. In 2003 the prevalence in Pakistan was 6.2%, while it was expected at
that time that it would increase to 11.6% in 2025 [8]. In 2010 national prevalence in Pakistan
was 7.6%, whereas comparative prevalence was 9.1% according to international diabetic
association [9]. We can assume that by 2025 the prevalence would be higher than expected, since
it is increasing very rapidly.
A study suggest in Pakistan overall glucose intolerance (DM+IGT) was 22.04% in urban and
17.15% in rural areas. In rural and urban areas, both males and females are suffering from
diabetes [10]
Management of diabetes:
Various methods are available worldwide to manage diabetes, but the disease cannot be
permanently cured. Around the world majority of the diabetic patient are being treated with
drugs (oral medications and Insulin), physical activity, and diet. Use of Insulin is higher in
patients with severe conditions because it is difficult to manage with oral medication and
behavioral methods in such severe situations. Oral medication can only control the disease in
moderate situations. But there are several side-effects reported with the oral hypoglycemic drugs
and Insulin. Troglitazone is an oral drug which can cause liver toxicity [11] and Acarbose is
responsible for flatulence and diarrhea [12].Various studies provide evidences about treating
patients with Insulin increases the weight of the patients [13], which is an adverse effect on the
prognosis of the disease. But it has been proven that the combined treatment of diabetes i.e.
physical activity and dietary counseling with medication is more beneficial [14]. Evidence shows
that physical activity plays a major role in both prevention and prognosis of majority of chronic
diseases i.e. diabetes and cardiovascular diseases [15]. Physical activity includes brisk walking,
exercise, and any type of activity which makes an individual physically active can contribute to
better health of a person. Likewise diet control can play a major role in prognosis as well as
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sugar control [16]. Both come under the modifiable risk factors. Both physical activity and diet
can be modified in order to manage the medical conditions of diabetes. Diet can deteriorate as
well as help in prognosis of the disease. But it’s up to the care provider which type of diet he/she
prescribes for the patient. Especially in case of diabetes, taking care of one’s diet is very
important. Diet can control the glucose level [16] and body weight of a diabetic patient, but more
counseling and motivation is needed for its effectiveness [17]. Weight loss improves condition of
diabetic patients by lowering the blood glucose levels [18]. Both body composition and weight
of the patient can be modified and the diabetes can be managed with the help of dietary
guidelines and proper monitoring. Dietary guidelines should be very clear and well structured, in
order for the patients to understand and adhere. This effort also requires proper counseling and
monitoring of the patient and other resources. Proper monitoring is very important to motivate
the person to achieve the goal.
Role of text messages in disease management:
Enormous use of media and other electronic devices in recent times has shown success in
motivating the patients to improve their health behavior. Examples of such technologies include
television, Internet [19, 20] and mobile phones [21]. Studies have been done on the use of mobile
phones in the tertiary health care settings in developed countries, especially in diabetic
individuals, proved that it can improve the blood glucose levels by motivating the patients to
adhere to the treatment [22]. A review study was conducted in 2009 (included published studies
between January 1990 and March 2008) on behavior change interventions delivered by mobile
telephone short-message service, showing 33 such studies, out of which 14 met their inclusion
criteria. 4 out of 14 studies reviewed targeted preventive health behaviors (e.g. smoking
cessation [23]), and 10 focused on clinical care (e.g. diabetes self-management). According to
this review and an another article, positive behavior change outcomes were observed in 13 of the
14 studies [24]. Various studies have been done on electronic SMS to manage incurable diseases
like diabetes, with the help of behavior modification intervention. These studies prove that by
motivating patients with reminders through SMS can improve both adherence and conditions of
the participants [25, 26].
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Rationale: In the developing countries specially in Pakistan, prevalence of diabetes mellitus is high, and the largest age group currently affected by diabetes is the middle age people.[4] Usually the diagnosis is done in late stages in developing countries because the population always comes to the health facilities when the conditions get worse. Therefore, after the occurrence of the disease, we need to develop certain strategies in order to improve the quality of life. In case of diabetes mellitus, proper counseling for dietary intake soon after the diagnosis plays a major role not only in improving the glycemic index, but also the quality of life of the individual. Unfortunately, in our communities, people ignore the importance of such interventions due to various factors, either because they give preference to house chores and family over their own health, or forget to follow the guidelines. Hence there should be proper techniques and methods with the help of which they could be reminded about their health in their busy routines. In the developed countries, as mentioned above, such techniques have been successfully applied while in developing world it is not that much common. Use of electronic communication is very common in our country especially through mobile phones. We can thus use text messages to spread awareness for different health conditions. It is also a cheap and feasible way to improve health condition of a person. To the best of our knowledge, no such study of reminding the diabetic patients about their dietary guideline via text message had been done in the past in our country. With the help of this study we would be able to assess the compliance to the dietary guidelines in the diabetic patients who receive text message vs. the diabetic patients who do not. This would help in developing the policies of continuous reminding for different chronic health conditions to improve the standard and quality of life of the individuals.
Research question:Is there any difference in compliance to dietary guidelines among patients with type-II diabetes who receive both written guidelines and text messages, compared to those who receive only written dietary guidelines?
Hypothesis:Compliance to dietary guidelines among patients with type-II diabetes, who receives electronic messages, would be different by a score of 1.5 as compare to those patients who do not receive text messages. [24, 27-30].
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Aim:
To assess whether text messages related to dietary management of diabetes care improve the health of patients with type-II diabetes attending Aga Khan hospitals in Karachi Pakistan
Primary Objective:
To assess the difference in dietary compliance in patients with type-II diabetes, who were reminded through text message (SMS) vs. those not reminded.
Secondary objectives:
To assess the change in HBA1c in both the groups To assess the change in fasting blood glucose levels of participants in both the groups. To assess dietary compliance in participants who will respond to text messages vs. those
who will not respond to text messages.
Methodology:
Study setting:
This study would be carried out at the Aga Khan University and Hospital (AKUH) stadium road.
Study design:
This would be a single blinded, randomized controlled trial. There would be two arms, one
would be the intervention arm and other would be the control arm. The intervention group would
receive dietary guidelines, counseling and a text message reminder, and the control group would
receive only dietary guidelines and its counseling. Study participants would be randomly
assigned to either arm with block randomization (of varying length) technique. Text messaging
would be used to improve the compliance to dietary guidelines. Text messaging would be sent on
the mobile phones of the participant by using Frontline Short Message Service (SMS) software 3
times a week for 3 months.
Study population:
The overall population of this study would be all diabetic patients, while the source population
would be all the diabetic patients coming to AKUH. Among these patients my focus would be on
the target population, those diabetic patients who have been diagnosed and conformed as a
known case of diabetes in the last 2 to 15 years. After applying the eligibility criteria, I would be
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able to achieve the required sample size for the study to assess the compliance to the dietary
guidelines.
Eligibility criteria:
Inclusion:
Patients of age between 30 to 70 years
Patients with an HbA1c more than 7.
Cases diagnosed with type-II diabetes since 2 to 15 years.
Those patients who have mobile phone and do not intend to change their phone number in
the next six months
Those who can read the SMS written in Urdu and will be able to respond to it.
Those who are on oral hypoglycemic medication only.
Exclusion:
Serious chronic co-morbidities e.g. Diabetic ketosis, Severe Diabetic foot, Nephropathy, Neuropathy, Retinopathy (taking injectable hypoglycemic drugs), chronic Renal failure, Liver cirrhosis.
Those who cannot give consent.
Not able to understand Urdu or English. Enrolled in any other study Pregnant females Hearing and verbal disabilities
Variables
Independent variables:
Intervention:
Text message reminder would be sent to the participant three times a week for three months.
These would be automated messages similar for all the participants in the intervention arm, and
sent out at the same time. We would use Frontline-SMS software to deliver the messages. There
would be different template each time. Some of the examples of the template are following:
1. Sweets and carbonated beverages/cold drinks: eat small amounts of these foods, once or
less times in a week.
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2. Vegetables and fruits: choose most of your foods from these foods.
3. Choose whole grain products and cereals. Etc.
1. Technical part of the intervention:
1. Software: We would use ‘Frontline-SMS’ software to send the messages to a large
number of people at one time. This is award-winning free and open source software that
turns a laptop and a mobile phone into a central communication hub. Once installed, the
program enables user to send and receive text messages with groups of people through
mobile phones. It stores all the phone numbers and records all the incoming and outgoing
messages and also it insures that massage has been delivered.
2. Hardware: We would use a computer and an EDGE USB to connect the mobile sim card
with the Frontline-SMS.
2. Dietary Guidelines (DG):
We made these dietary guidelines under the supervision of senior dietician at AKUH. It would be
provided to both intervention and control group in the form of a pamphlet. Detail counseling
regarding guidelines would be done in both arms at the time of face to face meeting.
Food components Portion size frequency Note: If any
Cereal, starch and whole grain foods
1serving = 1 slice bread/ 1/2 chapatti/ 1/2 cup cereal/ 1/2 cup boil rice
3 servings/day
Vegetable 1 cup cooked and 1/2 cup raw
2 servings /day
Fruits 1 fruit( equals to 1/2 cup Pomegranate/ 1 cup Water Melon/ 1 cup Papaya/ 4-5 strawberries/ 1/2 medium Grape fruit/ 1 medium Guava/ 1 medium Peach/ 1 medium Apple/ 1 medium Pear/ 1 medium Orange/1/2 Banana/ 6-8 medium Jaman / 1 medium Cheeko / 2-3 Dates
2 times/day( only two fruits are allowed in one day)
Nuts and legume 1 serving = 1 cup dall/ 2 Servings /day
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3 almonds/ 1 walnut/ 3-4 peanuts
Fish, poultry and eggs 1 serving=1 small piece of fish (1 ounce)/ 1/2 cup chicken (1 ounce piece)/1 small egg
1 – 2 servings/day
Dairy products 1 serving = 1 glass milk (skim) /1 cup yogurt (should be low fat)/1/2tsp. butter or oil
2 servings/day
Meat products ½ cup meat ( 1 ounce piece)
Use sparingly 1 – 2 time/week
Sweets and drinks 1 small Use sparingly 1 time / week (better to avoid)
Dependent variable:
Outcome variable:
Compliance to dietary guidelines would be the outcome in both the groups, which would be
measured by using the food frequency questionnaire (FFQ). Dietary compliance is a state of
being in accordance with established dietary guidelines (DG). FFQ would be conducted at the
baseline as well as after the intervention period (3 months). There would be 8 main components
of FFQ e.g. Vegetables, Fruits, Cereal, starch and whole grain foods, Nuts and legumes, Dairy
products, fish, poultry and eggs, Meat products and Sweets and drinks. Each component would
contain many food items. Daily consumption of each food item would be collapsed to find out
the average daily intake of each component. We would assign the scores to each component
(range would be from 0 to 2). If the proportion of the consumption of food component would be
exactly equal to the dietary guidelines, it would be assigned score 2. If the consumption would be
greater or lesser than the dietary guidelines, we would assign 1 score. If there would be no
consumption at all than we would assign “0” score.
After the complete assignment of scoring, total scores for all FFQ would be calculated by adding
the scores of all the 8 components. The overall possible scoring for FFQ would range from 0 to
16 (there are 8 components and highest possible score for each component is 2 and lowest is 0).
Total scores of each FFQ would be than compared this score scale (0 to 16).
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Other variables (co-variates):
Age:
Age would be assessed in complete years and considered as a continuous variable. It associated
with both intervention as well as outcome, as age increases a person’s ability to respond to the
text messages and following the dietary guidelines both can be affect.
Education:
We would assess education with questionnaires as a categorical variable i.e. primary, secondary,
higher secondary and graduation. It can also affect the dietary compliance.[31]
Social support:
Social support is defined as the perceived availability of people whom the individual trusts and
who make one feel cared for and valued as a person[32].Questionnaire would be used to assess
the social support[33]. Open ended question would be used. Social support can alter the
results[34], because it can motivate a person more or less than our reminders[35].
BMI:
It would be assessed by measuring weight and height (wt in kg/ ht in meters square) with weight
and height scales. Patients with high BMI are unable to control on diet as compare to those with
normal BMI[36].
Family income:
It would also be assessed by questionnaires as a continuous variable. It matters a lot in case of
dietary compliance[37]. Those patients who would be able to purchase vegetable and fruits
which are very expensive in our setting would only be able to follow guidelines. In case of low
income families, usually only one meal is cooked for the entire household, than it would be
difficult for the lady to adhere to dietary guidelines.
Number of physician’s visit:
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Number of visit would be asked from the participant, because it can affect the dietary intake of a
person. As we know that if the physician visit increases it can affect the outcome of our study.
Depression and anxiety:
It can also affect the outcome, if a person would be depressed he would not be able to follow the
guidelines even after reminding him/her, hence would affect the compliance[38]. We would
measure the depression and anxiety with the help of the HAD scale (hospital setting) which is
available online on internet. This scale is developed for hospital setting by Zigmond and Snaith.
[39]
Plan of operation:
Identification of the study participants:
The study would identify the potential participants from AKUH. We would take the permission
from AKUH for this concern. We would visit the identified place and we would identify the
participants by interviewing and we would also confirm eligibility from their medical history.
Details of the blood glucose level and contacts including address and telephone numbers would
be recorded. We would collect the details of only those participants who were diagnosed in the
last 3 to 10 years. We would include those participants who would be on oral medication, in case
if the participant would change the treatment after inclusion in the study i.e. shifted to insulin
during the study, would not be followed farther.
Tools used for eligibility of the participants (Eligibility form):
To identify the potential participant, an eligibility questionnaire would be used while reviewing
the medical charts after agreement of the participant. This questionnaire would be used on the
bases of diagnostic criteria used at AKUH laboratory to assign the participant as diabetic. Those
participants would be considered as diabetic if their blood fasting glucose would be more than
126mg/dl or 7mmol/l and 2 hours would be more than 200mg/dl or 11.1mmol/l. This
questionnaire would also include medical history of the participant, which would help us in
identifying eligible participants. We would include those participants who would be on oral
medication, in case if the participant would change the treatment after inclusion in the study i.e.
shifted to insulin during the study, would not be followed farther.
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Complete data collection tools:
At the baseline we would conduct the interview of each participant for both socio-demographic
(using a questionnaire) and dietary intake using food frequency questionnaire, social support
questionnaire and anxiety and depression scale. We would also measure the anthropometric
details of the person, including height, weight, waist and hip circumference in order to assess the
body mass index.
As we mentioned in the methodology part that there would be two interviews of the participant
for FFQ, one at the baseline and the other at the end of the intervention period, for that reason we
would use a semi quantitative food frequency questionnaire, which has been developed for use in
both, urban and rural population of Karachi by Dr. Romaina Iqbal for PURE study. This FFQ
contains both traditional and mix dishes of our country. It is based on 8 components of food
groups e.g. Vegetables, Fruits, Cereal, starch and whole grain foods, Nuts and legumes, Dairy
products, fish, poultry and eggs, Meat products and Sweets and drinks.
Data collectors:
Two data collectors would be identified for the data collection. Data collectors would be well
trained staff, who can understand and speak Urdu properly in order to conduct interviews and fill
the questionnaires. Proper training for the main objectives of the study would be given to the
data collector. Data collector would be responsible to fill the eligibility forms from the medical
records of the participant, to collect the information regarding the contact details of the potential
participants, and to take the interviews from the participants about the demographic and dietary
intake information.
Detailed procedure and follow up:
We would identify the potential participants from setting (mentioned above) by taking
information about the status of the disease both from online records and from each participant.
We would inform the participants (in person) about our study in detail. If the participant would
agree to participate, then he/she would be given a copy of consent form with our signature,
which would contain detailed information about the study. We would confirm the eligible cases
by reviewing their files at the clinic after taking informed consent. Those who are eligible for our
study based on the eligibility criteria would be interviewed. A 26 minutes interview would be
conducted in the procedure room or a clinic to maintain the privacy and confidentiality. This
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interview would contain food frequency questionnaire, socio-demographic questionnaire, social
support scale and anxiety and depression scale. After collecting the baseline interviews, all the
potential participants would be provided with dietary guidelines and its detail counseling. After
interview and counseling we would take the mobile numbers of all the participants in order to
send reminder messages. We would send messages in Urdu format. The participants would then
be randomized to either arm i.e. intervention and control. Randomization would be performed
via computer generated random numbers. A block randomization strategy with an uneven
varying block size of multiples of 2 would be used. This technique would take care of
predictability of the allocation of the participants. Participants in the intervention group would
receive 3 different text messages in a week. A fortnightly question would be sent to assess the
dietary intake of specific food components in both the groups. This question should be responded
by the participants. For their response we would send them credit through easy loads. Both the
groups would be followed for three months.
We would inform the participant that they can’t change their sim card during the study period. In
case the mobile phone is lost, they would be requested to inform us as soon as possible.
We would conduct interim analysis after the completion of one half month. We will conduct the
outcome by using FFQ and via telephone calls. After completion of three months intervention
period (follow up) we would conduct the final FFQ in order to measure the dietary compliance
from both the groups via telephone calls. Data collectors would be blinded to the status of the
participants. They would not be disclosed that in which group they are conducting the interviews.
For secondary objective, we would review the files of potential participants in detail to record
HbA1c and fasting blood glucose. If we are able to find for participants, we would record the
recent HbA1c and fasting blood glucose of the participant at the baseline of the study, and after
the completion of intervention period. We would compare the HbA1c and fasting blood glucose
in both the groups to see the effect of the intervention.
Sample size calculation:
With 5% level of significance and a difference of 1.5 score between the two groups, we need 112
subjects in each arm to achieve 80% power of the study. To the best of my knowledge there have
been no such study done in diabetes participants. So we calculated this sample size by dividing
the total range of compliance score with 4 to calculate the standard deviation and we considered
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that there would be at least 1.5 score difference between the intervention and control group. We
considered the literature during making the assumption for this purpose, especially from the
studies which have a similar study intervention and design [29, 30] . The final sample size after
considering 10% loss to follow-up would be 248 participants.
Plan of analysis:
Exposure of interest: Mobile text message with dietary guidelines
Outcome of interest: Dietary compliance
By taking into consideration the above exposure and outcome, analysis would be as follow:
Frequencies with percentages for the categorical variables including education, occupation,
depression and anxiety and social support would be computed for both intervention and control
group. Descriptive analysis would also be performed for the outcome of interest (dietary
compliance) in a similar manner. Means or medians and standard deviations with inter quartile
range whatever would be appropriate for continuous variable i.e. age and house hold income
would be generated for both the arms.
Univariate analysis would be conducted by computing unadjusted relative risk (RR) and their
95% confidence intervals (CI) to compare the two groups. Appropriate test based on the
assumptions (distribution of the data) would be used to assess the association between the mobile
text messages and dietary compliance and other variables as well. For multivariable analysis we
would set a criteria of p-value of <0.25 to include the variables in the analysis. We would also
assess the multicolinearity between the independent variables. Multiple linear regressions would
be performed to compute the adjusted RR with 95% CI. During this analysis we would assess the
interaction between the variables and based on the biological plausibility all possible
confounders would be identified. For all the association p-vale of <0.05 would be considered
significant. And also we will do a subgroup analysis for objectives other than the primary
objective. We will compare both groups for HbA1c and fasting blood glucose by using an
appropriate test. We will also compare the groups for dietary compliance of those who respond
to the text messages and those who do not. This subgroup analysis would be done only for those,
for which we will be able to get the HbA1c and fasting blood glucose.
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In case of missing data, we would exclude it if it would be negligible otherwise, it would be
handled with the help of imputation
Data Management and Quality Control:
Training of the data collectors:
Training would consist of both classroom and practical experience. The questionnaire would be
explained in detail to the data collectors and description of how to collect data for each variable
would be formulated in Manual of operations (M.O.O). Practical training would be given during
pretesting of questionnaire. Data collectors would be provided manual and questionnaire prior to
training sessions, in order to explain queries if any. In the training classes data collectors would
be request to practice by conducting interviews of each other. This training would be continued
before, during and after the pretesting.
Pretesting of questionnaire:
All the questionnaires would be pretested in 10% of the overall sample size of the study (22.4 ̴̴
23). Pretesting would be done in an area having participants with the similar characteristic. We
would prefer other diabetic clinics for this purpose in the city. Flow of the questions and
comprehensiveness of the questionnaire would be assessed. Two data collectors would conduct
the questionnaire on the same subject and kappa statistics would be performed to check for the
agreement between the two. Kappa statistics of 0.7 would be taken as acceptable level of
agreement. If agreement of 0.7 is not achieved then the data collectors would be re-trained.
Quality control of Data:
Data collection would be done under the supervision of the principle investigator. Review of
each filled questionnaire would be assured complete and consistent at the end of the interview at
the field site before leaving the study participants. Spot checks of the data collectors would be
done in order to ensure the quality of the data. Observing and supervising the interviews of the
data collectors would be done by the principle investigator throughout the data collection.
Data editing:
The data collected would undergo initial preliminary editing. Further editing would take place
once the questionnaires are back from the field site by the principal investigator. Each question
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would be assessed and edited with a green pen and then a red pen by the principle investigator.
Any missing data would be communicated to the data collectors for rechecking.
Data entry and cleaning:
Two data entry operators would enter the data into a data entry program in parallel. The data
entry program would be designed using Epi-Info. Data entered would be compared for entry
errors and the identified errors would be corrected. 10% of the records would be randomly
chosen from the database and would be compared with the questionnaire data. If there is more
than 0.3% inconsistency between the two entered data, than data entry would be done again by
the entry operators.
Ethical considerations:
Written consent:
Obtaining consent of a potential participant is very important in any study. A written informed
consent would be taken from all the willing participants. Consent form would be both in English
and its Urdu translation. For those who can read only in the national language Urdu, Urdu
translation of the consent form would be made available.
Confidentiality and rights of the participants:
This is the most sensitive part of a study. We would respect our study participant and would
provide all the rights as much as possible. Participants would be informed about the details of the
study in both written form and verbally. The information would be given in clear and simple
language, which would be unambiguous and honest. The purpose of the study, the detail
procedure, what may happen to them and potential risks and benefits would be explained to the
participants. In this study there is no risk of my intervention, both dietary guidelines and text
message but we would inform about everything to them. We would assign identification numbers
to each participant to maintain participant confidentiality. Data would be kept confidential and
no identifiers would be used during the study and also in reports and publications. All the forms
and computer database would be kept secured in the offices under locks and keys and can only
be reached and read by the study personnel. Participants would be informed in detail that
whenever they want they can withdraw from the study, there would be no penalty for that.
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Ethical approval:
We would take the approval for this study from the Ethical Review Committee (ERC) of the Aga
Khan University and Hospital.
Flow chart:All participants with type-II diabetes mellitus
All the participants with type-II diabetes mellitus coming to AKUH center in Karachi
Participants who are diagnosed with type-II diabetes mellitus in the last 3 years to 10 years
Eligibility criteria
Achieved sample of eligible participants
Baseline assessment would be done
Control Group 1. dietary guidelines 2. counseling3. Fortnightly assessment
of dietary compliance through text messaging
Intervention Group1. Dietary guideline,2. Counseling 3. SMS reminder4. Fortnightly assessment of
dietary compliance through text messaging
5.Assessment of outcome
by conducting FFQ (after 3 months)
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References: