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Web-based Monitoring in Children and Adolescents With Inflammatory Bowel Disease

Patient Empowerment: Web-based Monitoring in Children and Adolescents With Inflammatory Bowel Disease for Better Quality of Treatment

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01860651
Enrollment
103
Registered
2013-05-23
Start date
2013-09-30
Completion date
2017-05-31
Last updated
2019-03-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Crohn´s Disease, Inflammatory Bowel Disease, Ulcerative Colitis

Keywords

Inflammatory Bowel Disease, Ulcerative Colitis, Crohn´s Disease, Children, Adolescence, E-health web-monitoring, Adherence, Disease activity, Fecal Calprotectin

Brief summary

The investigators hypothesize that E-health - web based monitoring of disease and treatment - in young patients with chronic inflammatory disease (IBD) can improve the disease course and quality of life. Adherence (to take the prescribed medicine) is difficult for young patients. In this E-health project the investigators seek to improve young patients (10-17 years) responsibility for treatment, to empower them and thereby enhance the adherence in order to achieve a more quiet disease course. Through the e-Health program and web-app the disease activity will be presented to the young patient via a simple traffic light chart and the patient will be guided to: continue the prescribed medication, call the physician or visit the out-patient clinic. In future the concept is believed also to be applicable for young patients with other chronic diseases.

Detailed description

IBD's natural history is characterized by relapses (e.g. rectal bleeding, diarrhoea, abdominal pain, faecal urgency, fistula and anal abscess) and remissions. In children and adolescents the disease has a more aggressive course as compared with adults, causing a deterioration in the quality of life. During puberty patients are in an especially vulnerable period of their lives and there is a high risk for developing social disabilities due to the disease. Furthermore, IBD can lead to many days of absence from school and patients are at risk of not being able to maintain their education. Patients are treated medically when the disease is active, but also in quiet phases too in order to maintain remission. It is therefore crucial for success that patients receive insight into the disease and understand the importance of following the recommended maintenance treatment. Despite being aware of an increased risk of acute hospitalization and surgery, it is difficult for both adult and pediatric patients to follow the continuous medication (adherence). It is known that up to 50% of young patients fail to take their medication as directed. Previous studies have used E-health in the treatment of IBD patient. In M. Elkjaer et al. 2010 study on 300 patients with mild-to-moderate UC, E-health treatment resulted in shorter periods of active disease (average 18 vs. 77 days in the control group), 88% were satisfied with their treatment using E-health and the need for outpatient visits was reduced. In another study, Pedersen et al. 2012, on 27 patients with CD and examining biological treatment, E-Health was able to optimize the timing of infliximab treatment in CD patients. The E-Health solution was safe to use and patients showed high adherence to the program (86%). To the investigators knowledge no study has previously used E-health treatment in children and adolescents with IBD. It is, however, the investigators belief that this treatment concept would be readily taken up such patients, for whom web communication, at least in Denmark, is already a well-integrated part of their daily lives. The current study consists of two projects: Project A: Patients in treatment with medicine administrated at home. Project B: Patients in treatment with biological infusions Project A: Patients in treatment with medicine administrated at home are monitored, according to current international guidelines, with outpatient visits every third month. Patients participating in the current project will be randomly split into two groups and followed for two years. E-health group: Web-monitoring with an annual visit to the IBD center. Control group: Routine outpatient controls, four times a year. Project B: According to current guidelines, patients receiving treatment with biologicals visit the outpatient clinic approximately every eighth week and treatment is given intravenously. During the E-health intervention, symptoms and fecal calprotectin are monitored closely through the web-program, and treatment will be initiated by symptoms and elevated FC. In this way the timing of treatment with biologicals can be optimized and infusions delayed with a maximum treatment-free period of 12 weeks, or earlier than 8 weeks if necessary.

Interventions

BEHAVIORALWeb-monitoring

During the E-health intervention, symptoms and FC are monitored closely through the web-program and treatment will be initiated by symptoms and elevated FC.

Sponsors

University of Copenhagen
CollaboratorOTHER
Hvidovre University Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
10 Years to 17 Years
Healthy volunteers
No

Inclusion criteria

* IBD diagnosis according to the Copenhagen and Porto criteria * Aged between 10-17 years * Fluent in Danish * Access to the internet * Patients in treatment with infliximab must have completed the induction period (i.e. minimum six week after start-up of treatment).

Exclusion criteria

* Insufficient Danish language skills * Lack of intellectual capacity * Growth retardation

Design outcomes

Primary

MeasureTime frameDescription
Medical AdherenceProspective, each third month, up to 2 yearsParticipants (group 1, medication adm. at home): Medicine Adherence Report Scale (MARS): range 5-25 points. Higher scores mean a better outcome. In the below Outcome Measure Data Table the mean data for each group (web and control) summarized from the whole study periode are presented.

Secondary

MeasureTime frameDescription
Number of Participants With Step up in Medical IntensityThe first event during participation (2 years). (events were prospecitvely registered)Time to frist step-up in treatment intensity (escalating dose or change/addition of a more potent drug) were obtained from the patient's medical record during the study period, as a proxy of progression in disease activity. Time to step up was analysed via Kaplan Meier survival analysis.
SurgeryThe first event during participation (2 years). (events were prospecitvely registered)Need for surgery
Absence From SchoolProspective, each third month, - disease activity each month(project A) or week(project B), in 2 yearsNumber of days absence from school
Contact to the HospitalProspective, each third month, - disease activity each month(project A) or week(project B), in 2 yearsNeed for outpatient visits
Number of Weeks Between TreatmentProspective, each third month, - disease activity each month(project A) or week(project B), in 2 yearsDate of IFX infusions were prospectively registered from both the eHealth and the control groups.

Countries

Denmark

Participant flow

Participants by arm

ArmCount
Web-monitoring
There is two arms for intervention: Study 1) Patients in treatment with medicine administrated at home and Study 2) patients in treatment with biologicals.
56
Control
Study 1) Patients in treatment with medicine administrated at home: routine outpatient controls, four times a year. Study 2) Patients in treatment with biologicals: retrospective routine treatment algorithm
47
Total103

Baseline characteristics

CharacteristicControlTotalWeb-monitoring
Age, Categorical
<=18 years
47 Participants103 Participants56 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
0 Participants0 Participants0 Participants
Age, Continuous14.7 years
STANDARD_DEVIATION 2.11
14.9 years
STANDARD_DEVIATION 0.2
15.1 years
STANDARD_DEVIATION 1.82
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Black or African American
0 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
47 Participants103 Participants56 Participants
Race (NIH/OMB)
White
0 Participants0 Participants0 Participants
Region of Enrollment
Denmark
47 participants103 participants56 participants
Sex: Female, Male
Female
22 Participants53 Participants31 Participants
Sex: Female, Male
Male
25 Participants50 Participants25 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 560 / 47
other
Total, other adverse events
3 / 290 / 0
serious
Total, serious adverse events
0 / 560 / 26

Outcome results

Primary

Medical Adherence

Participants (group 1, medication adm. at home): Medicine Adherence Report Scale (MARS): range 5-25 points. Higher scores mean a better outcome. In the below Outcome Measure Data Table the mean data for each group (web and control) summarized from the whole study periode are presented.

Time frame: Prospective, each third month, up to 2 years

Population: Number of participants is only from study 1) Patients in treatment with medicine adminstered at home (participant in the web-group: 27; participant in the control-group: 26)

ArmMeasureValue (MEAN)
Web-monitoringMedical Adherence23.3 units on a scale
ControlMedical Adherence23.3 units on a scale
Comparison: Statistical analysis of Medical adherence in study Medication adm. at home were analysed using a Mixed Effect Model (MEM). The MEM model included a random patient effect and a fixed effect interaction between group and time, to evaluate difference between the groups over time.p-value: 0.2295% CI: [-0.005, 0.001]Mixed Effect Model
Secondary

Absence From School

Number of days absence from school

Time frame: Prospective, each third month, - disease activity each month(project A) or week(project B), in 2 years

ArmMeasureValue (MEAN)Dispersion
Web-monitoringAbsence From School1.6 daysStandard Error 0.5
ControlAbsence From School16.5 daysStandard Error 4.4
Secondary

Contact to the Hospital

Need for outpatient visits

Time frame: Prospective, each third month, - disease activity each month(project A) or week(project B), in 2 years

ArmMeasureValue (MEDIAN)
Web-monitoringContact to the Hospital2 visits
ControlContact to the Hospital8 visits
Secondary

Number of Participants With Step up in Medical Intensity

Time to frist step-up in treatment intensity (escalating dose or change/addition of a more potent drug) were obtained from the patient's medical record during the study period, as a proxy of progression in disease activity. Time to step up was analysed via Kaplan Meier survival analysis.

Time frame: The first event during participation (2 years). (events were prospecitvely registered)

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Web-monitoringNumber of Participants With Step up in Medical Intensity10 Participants
ControlNumber of Participants With Step up in Medical Intensity12 Participants
Secondary

Number of Weeks Between Treatment

Date of IFX infusions were prospectively registered from both the eHealth and the control groups.

Time frame: Prospective, each third month, - disease activity each month(project A) or week(project B), in 2 years

ArmMeasureValue (MEAN)Dispersion
Web-monitoringNumber of Weeks Between Treatment9.5 weeksStandard Deviation 2.3
ControlNumber of Weeks Between Treatment6.9 weeksStandard Deviation 1.4
Secondary

Surgery

Need for surgery

Time frame: The first event during participation (2 years). (events were prospecitvely registered)

Population: In this analysis both participants from study 1 (web 27, control 26) and 2 (web 29, control 21) are represented.~No surgeries were performed, and therefore there is no mean and SD

ArmMeasureValue (MEAN)Dispersion
Web-monitoringSurgery0 SurgeriesStandard Deviation 0
ControlSurgery0 SurgeriesStandard Deviation 0

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026