Ignite Creation Date:
2025-12-25 @ 2:18 AM
Ignite Modification Date:
2025-12-29 @ 4:20 AM
Study NCT ID:
NCT01444534
Status:
COMPLETED
Last Update Posted:
2012-10-24
First Post:
2011-09-26
Is Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Mobile Phone Applications and Quality of Life
Sponsor:
Medical Research Foundation, The Netherlands
Organization:
Study Overview
Official Title:
Influence of a Mobile Phone Application on Quality of Life of Patients With Type 1 Diabetes Mellitus: a Randomized Controlled Trial
Status:
COMPLETED
Status Verified Date:
2012-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The use of smartphones has increased substantially in recent years. Apart from making phone calls and sending short messages, these smartphones can also function as a computer on which one can download computer programs (the so-called applications). Health applications are increasingly developed and may be a new tool for education of patients and communication between healthcare providers and their patients, possibly contributing to a better care for patients with chronic diseases such as diabetes.
Since the number of patients with diabetes mellitus and the number of people having a smartphone are rising, it is investigated whether applications on smartphones may be used to support lifestyle changes and self-monitoring of bloodglucose control, possibly leading to an improved glycaemic regulation in the group of patients with diabetes mellitus.
Large randomized controlled trials have shown that a stable glycaemic regulation is important to reduce morbidity and mortality and to improve quality of life (QOL). Self-monitoring of blood glucose is an important tool to realize an optimal glycaemic regulation in patients with type 1 diabetes mellitus (T1DM). Apart from a good glycaemic control, QOL is essential in diabetic patients. A reduced QOL is associated with progression of the disease, worse intake of medication and an increased mortality in patients with T1DM and diabetes mellitus type 2.
The increasing costs associated with the rising number of diabetic patients makes that research investigating cheaper alternatives in the care for patients with diabetes are needed. The switch from a written logbook to an electronic logbook may simplify the care for diabetes patients. By means of an application all variables (food intake, physical exercise, glucose day curves, insulin units, reminders to take medication) are integrated in one program. But whether this digitalisation also improves QOL of the patient is still unclear.
Therefore the aim of this study is to evaluate the effect of a diabetes application on the (QOL) for type 1 diabetic patients.
Since the number of patients with diabetes mellitus and the number of people having a smartphone are rising, it is investigated whether applications on smartphones may be used to support lifestyle changes and self-monitoring of bloodglucose control, possibly leading to an improved glycaemic regulation in the group of patients with diabetes mellitus.
Large randomized controlled trials have shown that a stable glycaemic regulation is important to reduce morbidity and mortality and to improve quality of life (QOL). Self-monitoring of blood glucose is an important tool to realize an optimal glycaemic regulation in patients with type 1 diabetes mellitus (T1DM). Apart from a good glycaemic control, QOL is essential in diabetic patients. A reduced QOL is associated with progression of the disease, worse intake of medication and an increased mortality in patients with T1DM and diabetes mellitus type 2.
The increasing costs associated with the rising number of diabetic patients makes that research investigating cheaper alternatives in the care for patients with diabetes are needed. The switch from a written logbook to an electronic logbook may simplify the care for diabetes patients. By means of an application all variables (food intake, physical exercise, glucose day curves, insulin units, reminders to take medication) are integrated in one program. But whether this digitalisation also improves QOL of the patient is still unclear.
Therefore the aim of this study is to evaluate the effect of a diabetes application on the (QOL) for type 1 diabetic patients.
Detailed Description:
Participants in both groups were invited to participate after their periodical visit to the doctor or the hospital-based nurse specialised in the care for diabetes patients. All participants in this study were adults with T1DM having a smartphone.
All participants will complete the The Short Form Health Survey (SF-36) and the Problem Areas In Diabetes questionnaire (PAID) at baseline and after three months of follow-up. Baseline information, including socio demographic information (age, sex, highest level of school education), and clinical characteristics (diabetes duration, insulin therapy and presence and severity of diabetes complications) will be collected in a database. Moreover parameters such as blood pressure, body weight, HbA1c and lipid profile will be added.
Sample size calculation
The study was powered to detect a between-group mean difference of 10 points in the The Short Form Health Survey (SF-36) questionnaire after 3 months. With a power of 80%, alpha 0.05, the total sample size of the study should be 62 patients (31 in each group).
All participants will complete the The Short Form Health Survey (SF-36) and the Problem Areas In Diabetes questionnaire (PAID) at baseline and after three months of follow-up. Baseline information, including socio demographic information (age, sex, highest level of school education), and clinical characteristics (diabetes duration, insulin therapy and presence and severity of diabetes complications) will be collected in a database. Moreover parameters such as blood pressure, body weight, HbA1c and lipid profile will be added.
Sample size calculation
The study was powered to detect a between-group mean difference of 10 points in the The Short Form Health Survey (SF-36) questionnaire after 3 months. With a power of 80%, alpha 0.05, the total sample size of the study should be 62 patients (31 in each group).
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: