The Effects of Video Training Given to Individuals With Type 2 Diabetes
1 other identifier
interventional
112
1 country
1
Brief Summary
The goal of this randomised control type of study is to examine the effects of Video Diabetes Training given to individuals with Type 2 Diabetes through smartphones on self-care and metabolic control. The Hypotheses of the Study: H1: Video Diabetes Training given to individuals with Type 2 Diabetes through smartphones has a positive impact on individuals' self-care. H2: Video Diabetes Training given to individuals with Type 2 Diabetes through smartphones has a positive impact on individuals' metabolic control variables. Participants will answer the data collection tools in the first and second interviews and metabolic control variables will be record. Diabetes training videos will sent to the Training Group through smartphones after the first meeting as two episodes a week. Video Diabetes Training given to training group will be examine the effects of on self-care and metabolic control.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable diabetes-mellitus-type-2
Started Feb 2022
Shorter than P25 for not_applicable diabetes-mellitus-type-2
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 21, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 5, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
August 19, 2022
CompletedFirst Submitted
Initial submission to the registry
October 30, 2023
CompletedFirst Posted
Study publicly available on registry
December 20, 2023
CompletedDecember 29, 2023
December 1, 2023
1 month
October 30, 2023
December 24, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (12)
Numerical distribution of participants' sociodemographic and diabetes-related characteristics
The sociodemographic and diabetes-related characteristics of the training and control groups. Sociodemographic characteristics; Age, gender, marital status, education level, occupation, income level, smoking and alcohol use were evaluated. Characteristics of diabetes: duration of diabetes, diabetes treatment method, use of other medications, family history of diabetes, frequency of check-ups, hospitalization due to high blood sugar, hospitalization due to hypoglycemia, chronic complications due to diabetes, previous education on diabetes, status other than diabetes the presence of the disease was evaluated.
At the first meeting (initial)
Diabetes Self-Care Scale mean score
The comparison of Diabetes Self-Care Scale pre-test, post-test and change difference values between training and control groups. The lowest acceptable level of the scale is 92 points. The highest score that can be obtained from the scale is 140 points. As the score of the scale increases, patients' self-care activities also increase positively.
At the first interview (baseline) and at the second interview 3 months later
Fasting plasma glucose value
Comparison of fasting plasma glucose variables between training and control groups. Fasting plasma glucose (mg/dl) value was obtained as a result of the participant's routine blood test.
At the first interview (baseline) and at the second interview 3 months later
HbA1c value
Comparison of HbA1c variables between training and control groups. HbA1c (%) value was obtained as a result of the participant's routine blood test.
At the first interview (baseline) and at the second interview 3 months later
Total cholesterol value
Comparison of total cholesterol variables between training and control groups. Total cholesterol (mg/dl) value was obtained as a result of the participant's routine blood test.
At the first interview (baseline) and at the second interview 3 months later
Low-density lipoprotein value
Comparison of low-density lipoprotein variables between training and control groups. Low density lipoprotein (mg/dl) value was obtained as a result of the participant's routine blood test.
At the first interview (baseline) and at the second interview 3 months later
High-density lipoprotein value
Comparison of high-density lipoprotein variables between training and control groups. High density lipoprotein (mg/dl) value was obtained as a result of the participant's routine blood test.
At the first interview (baseline) and at the second interview 3 months later
Triglyceride value
Comparison of triglyceride variables between training and control groups. Triglyceride (mg/dl) value was obtained as a result of the participant's routine blood test.
At the first interview (baseline) and at the second interview 3 months later
Systolic blood pressure value
Comparison of systolic blood pressure (mmHg) variables between training and control groups. The tools required for blood pressure measurement were provided by the researcher. The same measurement tools were used in the first interview (pretest) and the second interview (posttest). The participant was allowed to rest for at least 5-10 minutes before the measurement. An aneroid type sphygmomanometer, suitable for adults, was used as a measurement tool. In accordance with the technique recommended in the National Hypertension Treatment and Follow-up Guide, the researcher took measurements twice with an interval of two minutes while the participant was in a sitting position, with his right arm supported at heart level, and the results were recorded by averaging the measurements.
At the first interview (baseline) and at the second interview 3 months later
Diastolic blood pressure value
Comparison of diastolic blood pressure (mmHg) variables between training and control groups. The tools required for blood pressure measurement were provided by the researcher. The same measurement tools were used in the first interview (pretest) and the second interview (posttest). The participant was allowed to rest for at least 5-10 minutes before the measurement. An aneroid type sphygmomanometer, suitable for adults, was used as a measurement tool. In accordance with the technique recommended in the National Hypertension Treatment and Follow-up Guide, the researcher took measurements twice with an interval of two minutes while the participant was in a sitting position, with his right arm supported at heart level, and the results were recorded by averaging the measurements.
At the first interview (baseline) and at the second interview 3 months later
Body Mass Index value
Comparison of body mass index variables between training and control groups. To calculate the body mass index of the participants, they were measured according to the weight and height technique. Participants' BMI was calculated by dividing their weight by the square of their height \[BMI: Weight (kg)/height (m2)\]. BMI was evaluated in accordance with WHO recommendations.
At the first interview (baseline) and at the second interview 3 months later
Waist circumference value
Comparison of waist circumference variables between training and control groups. Waist circumference measurement was made using the measurement technique recommended by WHO. While the participants were standing, the circumference was measured with a tape measure over their underwear, at the midpoint between the lowest rib and the crista iliaca at the end of expiration.
At the first interview (baseline) and at the second interview 3 months later
Study Arms (2)
Video Diabetes Training group
EXPERIMENTALThe data collection tools will apply in the first and second interviews and metabolic control variables will record. Diabetes training videos will sent to the Training Group through smartphones after the first meeting as two episodes a week.
control group
NO INTERVENTIONThe data collection tools will apply in the first and second interviews and metabolic control variables will record.
Interventions
The participants in the Training Group is to sent a total of eight episodes of the Diabetes Training Videos prepare by the researcher, twice a week, through smartphones after the first interview
Eligibility Criteria
You may qualify if:
- agreed to participate in the study voluntarily,
- were diagnosed with Type 2 Diabetes for at least 6 months,
- were 18 years of age or older,
- were literate, had smartphones with video playback features and internet,
- without a physician diagnosis that would prevent communication, and psychiatric problems and hearing problems
- those who did not have sensory losses such as vision or hearing.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Kırklareli University
Kırklareli, 39100, Turkey (Türkiye)
Related Publications (8)
Kang J, Chen Y, Zhao Y, Zhang C. Effect of remote management on comprehensive management of diabetes mellitus during the COVID-19 epidemic. Prim Care Diabetes. 2021 Jun;15(3):417-423. doi: 10.1016/j.pcd.2020.12.004. Epub 2021 Jan 1.
PMID: 33422431BACKGROUNDHansen CR, Perrild H, Koefoed BG, Zander M. Video consultations as add-on to standard care among patients with type 2 diabetes not responding to standard regimens: a randomized controlled trial. Eur J Endocrinol. 2017 Jun;176(6):727-736. doi: 10.1530/EJE-16-0811. Epub 2017 Mar 21.
PMID: 28325823RESULTLee NP, Fisher WP Jr. Evaluation of the Diabetes Self-Care Scale. J Appl Meas. 2005;6(4):366-81.
PMID: 16192661RESULTAvdal EU, Uran BNO, Pamuk G, Yildirim JG, Konakci G, Ates M, Polat G. Investigation of the effect of web-based diabetes education on metabolic parameters in people with type 2 diabetes: A randomized controlled trial. J Infect Public Health. 2020 Dec;13(12):1892-1898. doi: 10.1016/j.jiph.2020.03.008. Epub 2020 May 20.
PMID: 32444190RESULTBell AM, Fonda SJ, Walker MS, Schmidt V, Vigersky RA. Mobile phone-based video messages for diabetes self-care support. J Diabetes Sci Technol. 2012 Mar 1;6(2):310-9. doi: 10.1177/193229681200600214.
PMID: 22538140RESULTRasmussen OW, Lauszus FF, Loekke M. Telemedicine compared with standard care in type 2 diabetes mellitus: A randomized trial in an outpatient clinic. J Telemed Telecare. 2016 Sep;22(6):363-8. doi: 10.1177/1357633X15608984. Epub 2015 Oct 14.
PMID: 26468213RESULTSun C, Sun L, Xi S, Zhang H, Wang H, Feng Y, Deng Y, Wang H, Xiao X, Wang G, Gao Y, Wang G. Mobile Phone-Based Telemedicine Practice in Older Chinese Patients with Type 2 Diabetes Mellitus: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2019 Jan 4;7(1):e10664. doi: 10.2196/10664.
PMID: 30609983RESULTTang PC, Overhage JM, Chan AS, Brown NL, Aghighi B, Entwistle MP, Hui SL, Hyde SM, Klieman LH, Mitchell CJ, Perkins AJ, Qureshi LS, Waltimyer TA, Winters LJ, Young CY. Online disease management of diabetes: engaging and motivating patients online with enhanced resources-diabetes (EMPOWER-D), a randomized controlled trial. J Am Med Inform Assoc. 2013 May 1;20(3):526-34. doi: 10.1136/amiajnl-2012-001263. Epub 2012 Nov 20.
PMID: 23171659RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
İlknur METİN AKTEN, PhD,MSc,RN
Kırklareli University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- assistant professor
Study Record Dates
First Submitted
October 30, 2023
First Posted
December 20, 2023
Study Start
February 21, 2022
Primary Completion
April 5, 2022
Study Completion
August 19, 2022
Last Updated
December 29, 2023
Record last verified: 2023-12
Data Sharing
- IPD Sharing
- Will not share