- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05274854
A Practice Change for Patients With Severe Chronic, Clinically Unexplained Gastrointestinal Symptoms
June 26, 2023 updated by: The University of Queensland
A Practice Change for Patients With Severe Chronic, Clinically Unexplained Gastrointestinal Symptoms: A Randomised, Controlled Intervention to Assess Efficacy and Cost-effectiveness
This research project aims to test whether early interventions delivered remotely and prior to integrated care clinic appointments are effective.
Patients with chronic unexplained gastrointestinal symptoms will initially undergo structured assessment of symptoms and wheat intolerance delivered remotely.
Patients who continue to experience symptoms will then be randomised to a pre-consultation intervention ((a) standardised dietician supervised intervention, b) exercise intervention, c) internet delivered cognitive behavior therapy or d) nothing) followed by randomisation to the consultation intervention ((a) consultant-led outpatient clinic or b) a integrated care clinic depending on their response to the initial intervention.
Study Overview
Status
Recruiting
Detailed Description
An Effectiveness-Implementation Hybrid Design with a two stage randomisation will be used to determine and compare efficacy and cost-effectiveness of different management approaches/interventions for patients with relevant, chronic, or relapsing gastrointestinal symptoms without concerning features and on the wait list for integrated care clinic at the Princess Alexandra Hospital.
Approximately 200 patients will initially receive standardised assessment of symptoms and wheat intolerance.
Those patients that continue to experience symptoms will then be randomised to a pre-consultation intervention (a) standardised dietician supervised intervention, b) exercise intervention, c) internet delivered cognitive behavior therapy or d) nothing) followed by randomisation to the consultation intervention (a) consultant-led outpatient clinic or b) an integrated care clinic conditional on their response to the initial intervention.
Specific aims of the study include Aim 1: Determine efficacy (symptom improvement) and cost-effectiveness (quality adjusted life years) of a structured, digital technology enabled approach for the management of patients with severe functional gastrointestinal disorders as compared to established service models; Aim 2: Identify response-predictors for the pre-clinical dietary intervention, internet delivered cognitive behavior therapy, exercise physiology and the various clinical interventions; Aim 3: Define acceptance of consumers and staff for the new service model relative to established models of care and Aim 4. To determine the dietary patterns of people with functional gastrointestinal disorders who are presenting with symptoms necessary to access tertiary care and to further examine changes in diet after a range of interventions delivered by telehealth.
Study Type
Interventional
Enrollment (Estimated)
200
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Gerald Holtmann, MD, PhD
- Phone Number: 61 7 3176 7792
- Email: g.holtmann@uq.edu.au
Study Contact Backup
- Name: Natasha Koloski, PhD
- Phone Number: 0407126897
- Email: n.koloski@uq.edu.au
Study Locations
-
-
Queensland
-
Woolloongabba, Queensland, Australia, 4102
- Recruiting
- Princess Alexandra Hospital
-
Contact:
- Natasha Koloski, PhD
- Phone Number: 0407126897
- Email: n.koloski@uq.edu.au
-
Contact:
- Gerald Holtmann, PhD
- Phone Number: 07 3176 7792
- Email: g.holtman@uq.edu.au
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
16 years to 88 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Patients with relevant, chronic, or relapsing gastrointestinal (GI) symptoms without concerning features and on the wait list for integrated care clinic (ICC) will be included in the study.
- Patients with severe symptoms as defined by a total Structured Assessment of Gastrointestinal Symptoms (SAGIS) score > 35
- Patients aged 18 years or older to 90 years old
Exclusion Criteria:
- Patients with 'alarm' signs or symptoms (significant unexplained weight loss, evidence for gastrointestinal bleeding, iron deficiency anaemia, new onset GI symptoms) will be triaged to undergo urgent clinical work-up before they can be considered for inclusion into the study
- Patients with mild or moderate symptoms (e.g. not requiring clinical work-up or who will likely spontaneously improve) will not be eligible for inclusion into the study and will be managed as clinically indicated.
- Patients with any comorbidities that would interfere with the objectives of these interventions will be managed via the routine clinical pathways.
- Patients with a prior history of any eating disorder, wait listed for bariatric surgery or have had bariatric surgery will be excluded
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Preconsultation Intervention
Pre-consultation intervention includes 4 arms ((a) standardised dietician supervised intervention, b) exercise intervention, c) internet delivered cognitive behavior therapy or d) nothing)
|
Pre consultation interventions consist of one of four intervention a)standardised dietician supervised intervention, b) exercise intervention, c) internet delivered cognitive behavior therapy or d) nothing
|
Experimental: Consultation Intervention
Consultation intervention includes 2 arms (a) consultant-led outpatient clinic or b) a integrated care clinic depending on their response to the initial preconsultation intervention.
|
Consultation intervention consists of one of two interventions a) consultant-led outpatient clinic or b) a integrated care clinic
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 0
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 0
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 8
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 8
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 16
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 16
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 20
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 20
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 24
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 24
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 28
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 28
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 32
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 32
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 35
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 35
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 38
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 38
|
Structured Assessment of Gastrointestinal Symptoms score
Time Frame: Week 44
|
Structured Assessment of Gastrointestinal Symptoms score: Assesses impact of various GI symptoms.
SAGIS scores will be used to measure symptom type and symptom severity.
Scores can range from 0 to 88.
Higher scores indicate greater severity of symptoms
|
Week 44
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 0
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 0
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 8
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 8
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 16
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 16
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 20
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 20
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 24
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 24
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 28
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 28
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 32
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 32
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 35
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 35
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 38
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 38
|
European Quality of Life Five Dimension (EQ-5D)
Time Frame: Week 44
|
The EQ-5D is a preference-based health related Quality of Life measure.
The maximum score of 1 indicates the best health state
|
Week 44
|
Cost effectiveness
Time Frame: Week 0
|
To assess the cost-effectiveness and given the expected impact of the intervention on patient quality of life, a cost-utility analysis (CUA) will be conducted.
The analysis will capture direct medical and non- medical costs including out-of-pocket expenses and indirect costs (e.g., lost productivity) based upon resources consumed using unit prices from standard costing resources.
Quality-adjusted life-year (QALYs) gained will be weighted by their utility score (using the EQ-5D)
|
Week 0
|
Cost effectiveness
Time Frame: Week 8
|
To assess the cost-effectiveness and given the expected impact of the intervention on patient quality of life, a cost-utility analysis (CUA) will be conducted.
The analysis will capture direct medical and non- medical costs including out-of-pocket expenses and indirect costs (e.g., lost productivity) based upon resources consumed using unit prices from standard costing resources.
Quality-adjusted life-year (QALYs) gained will be weighted by their utility score (using the EQ-5D)
|
Week 8
|
Cost effectiveness
Time Frame: Week 16
|
To assess the cost-effectiveness and given the expected impact of the intervention on patient quality of life, a cost-utility analysis (CUA) will be conducted.
The analysis will capture direct medical and non- medical costs including out-of-pocket expenses and indirect costs (e.g., lost productivity) based upon resources consumed using unit prices from standard costing resources.
Quality-adjusted life-year (QALYs) gained will be weighted by their utility score (using the EQ-5D)
|
Week 16
|
Cost effectiveness
Time Frame: Week 28
|
To assess the cost-effectiveness and given the expected impact of the intervention on patient quality of life, a cost-utility analysis (CUA) will be conducted.
The analysis will capture direct medical and non- medical costs including out-of-pocket expenses and indirect costs (e.g., lost productivity) based upon resources consumed using unit prices from standard costing resources.
Quality-adjusted life-year (QALYs) gained will be weighted by their utility score (using the EQ-5D)
|
Week 28
|
Cost effectiveness
Time Frame: Week 44
|
To assess the cost-effectiveness and given the expected impact of the intervention on patient quality of life, a cost-utility analysis (CUA) will be conducted.
The analysis will capture direct medical and non- medical costs including out-of-pocket expenses and indirect costs (e.g., lost productivity) based upon resources consumed using unit prices from standard costing resources.
Quality-adjusted life-year (QALYs) gained will be weighted by their utility score (using the EQ-5D)
|
Week 44
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Hospital Anxiety and Depression Scale
Time Frame: Week 0
|
Anxiety and Depression scores from the Hospital Anxiety and Depression Scale.
Scores can range from 0 to 21 for each subscale of anxiety and depression, respectively.
Higher scores indicate greater frequency of anxiety and depression.
|
Week 0
|
Hospital Anxiety and Depression Scale
Time Frame: Week 16
|
Anxiety and Depression scores from the Hospital Anxiety and Depression Scale.
Scores can range from 0 to 21 for each subscale of anxiety and depression, respectively.
Higher scores indicate greater frequency of anxiety and depression.
|
Week 16
|
Hospital Anxiety and Depression Scale
Time Frame: Week 28
|
Anxiety and Depression scores from the Hospital Anxiety and Depression Scale.
Scores can range from 0 to 21 for each subscale of anxiety and depression, respectively.
Higher scores indicate greater frequency of anxiety and depression.
|
Week 28
|
Hospital Anxiety and Depression Scale
Time Frame: Week 44
|
Anxiety and Depression scores from the Hospital Anxiety and Depression Scale.
Scores can range from 0 to 21 for each subscale of anxiety and depression, respectively.
Higher scores indicate greater frequency of anxiety and depression.
|
Week 44
|
Microbiome
Time Frame: Week 0
|
Total abundance and relative abundance of specific phyla of the microbiome
|
Week 0
|
Microbiome
Time Frame: Week 16
|
Total abundance and relative abundance of specific phyla of the microbiome
|
Week 16
|
Microbiome
Time Frame: Week 28
|
Total abundance and relative abundance of specific phyla of the microbiome
|
Week 28
|
Microbiome
Time Frame: Week 44
|
Total abundance and relative abundance of specific phyla of the microbiome
|
Week 44
|
Acceptance of models of care by consumers and staff
Time Frame: Week 16
|
For the pre-consultation and the 3- months intervention period, the consumer's net promotor score ('…I would recommend the service I received to a family member or friend yes/no..') will be determined and compared.
With regard to the team providing services to the patients, all members providing care will respond to the following question in relation to specific treatment groups: '...I have been able to address the patient's problems yes/no..'
|
Week 16
|
Acceptance of models of care by consumers and staff
Time Frame: Week 28
|
For the pre-consultation and the 3- months intervention period, the consumer's net promotor score ('…I would recommend the service I received to a family member or friend yes/no..') will be determined and compared.
With regard to the team providing services to the patients, all members providing care will respond to the following question in relation to specific treatment groups: '...I have been able to address the patient's problems yes/no..'
|
Week 28
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Gerald Holtmann, MD PhD, The University of Queensland
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
May 1, 2023
Primary Completion (Estimated)
October 30, 2024
Study Completion (Estimated)
December 31, 2024
Study Registration Dates
First Submitted
February 7, 2022
First Submitted That Met QC Criteria
March 8, 2022
First Posted (Actual)
March 11, 2022
Study Record Updates
Last Update Posted (Actual)
June 28, 2023
Last Update Submitted That Met QC Criteria
June 26, 2023
Last Verified
June 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- APP2004495
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
Deidentified group data will be analysed and published in medical journals
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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