Our primary objective is to establish a study that will compile data from Tier 3 services, focusing on the following key areas:
1. Demographics: Age, sex, socioeconomic status (derived from postcode), ethnicity, marital status and employment status and Job.
2. Weight History: Weight at significant life milestones (birth and leaving school), onset of weight issues, highest and lowest adult weight, weight changes over the past five years.
3. Previous Weight Loss Attempts: History of interventions and weight loss with these.
4. Medical Conditions: List of medical conditions with dates started. Severity of these medical conditions will be assessed using the Kings score and Edmonton score.
5. Medication: Details on dosage and frequency and when started on these drugs.
6. Patient-Reported Outcomes: Quality of life (EQ5D questionnaire) and well-being (BodyQ questionnaire).
7. Clinical Treatments: Interventions received during clinic visits.
8. Clinical Measures: Weight, height, BMI, blood pressure.
9. Relevant Laboratory Results: HbA1c if has diabetes.
The information gathered through this study will serve to enhance productivity in existing services, inform business planning, and support the establishment of new services. It will also provide critical data to ensure equitable access to weight management services nationwide. Furthermore, the study will function as a registry, enabling researchers to apply for access to data that will advance our understanding and treatment of obesity.
Objectives of the CORE study
Our primary objective is to establish a study that will compile data from Tier 3 services, focusing on the following key areas:
1. Demographics: Age, sex, socioeconomic status (derived from postcode), ethnicity, marital status and employment status and Job.
2. Weight History: Weight at significant life milestones (birth and leaving school), onset of weight issues, highest and lowest adult weight, weight changes over the past five years.
3. Previous Weight Loss Attempts: History of interventions and weight loss with these.
4. Medical Conditions: List of medical conditions with dates started. Severity of these medical conditions will be assessed using the Kings score and Edmonton score.
5. Medication: Details on dosage and frequency and when started on these drugs.
6. Patient-Reported Outcomes: Quality of life (EQ5D questionnaire) and well-being (BodyQ questionnaire).
7. Clinical Treatments: Interventions received during clinic visits.
8. Clinical Measures: Weight, height, BMI, blood pressure.
9. Relevant Laboratory Results: HbA1c if has diabetes.
The information gathered through this study will serve to enhance productivity in existing services, inform business planning, and support the establishment of new services. It will also provide critical data to ensure equitable access to weight management services nationwide. Furthermore, the study will function as a registry, enabling researchers to apply for access to data that will advance our understanding and treatment of obesity.
Study Aim:
This study aims to demonstrate proof of concept for our new data collection system involving a network of Tier 3 weight management clinics across England and Wales. Success would be seen in getting 50% of the current tier 3 weight management services (21/42) to capture data on 60% of the patients attending their clinics.
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Objectives
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Outcome Measures
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Timepoint(s)
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Primary
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To demonstrate that our system can be integrated into NHS Tier 3 clinics and collect data on patients attending clinics.
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The number of clinics using the system by end of year 2 of the project. Our aim would be to have 50% of tier 3 clinics using this system.
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24 months
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Secondary
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To demonstrate that key outcomes are captured in sufficient quantity to give a fair representation of the people attending the clinics
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That the clinics on average are collecting data on 60% of the patients that attend their clinics and on these they have at least 80% data on our key outcomes which are
Demographics
Age, sex, socioeconomic status, ethnicity, marital status and employment status and Job.
Weight history
Birth weight, age weight problem started at, highest and lowest weight. Current weight.
Previous Weight Loss Attempts
Previous Bariatric surgery – Y/N – if Y when and Type.
Attempts at commercial diets- Y/N if Y when and Type
Tried weight loss medication – Y/N if Y when and Type
Medical and drug history
List of medical problems with date started. List of drugs taking with dose, frequency and start date.
Clinical Treatments
Diet and Exercise advice Y/N if yes details and date offered
Low calorie diet Y/N if yes details and date started and finished.
Specific help with eating habits Y/N, If yes details and date (S) delivered
Sessions with psychologis Y/N, If yes details and date (s) delivered.
Weight loss drugs Y/N if yes which type and when started.
Referred for surgery Y/N if yes when.
Patient-Reported Outcomes
EQ5D and Body Q
Clinical Measures
Weight, height, BMI, blood pressure.
Relevant Laboratory Results: HbA1c if has diabetes.
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Baseline
Baseline
Baseline
Baseline and every 12 months until leaves clinic.
Baseline and every 12 months until leaves clinic.
Baseline and every 12 months until leaves clinic.
Baseline and every 12 months until leaves clinic.
Baseline and every 12 months until leaves clinic.
Baseline and every 12 months until leaves clinic.
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Exploratory
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Demographic and clinical characteristics of people attending clinics.
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All key measures mentioned above
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Baseline
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To look at changes in weight and well-being over a year and whether this is affected by treatment modality
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Changes in Weight and Wellbeing - Weight, BMI, EQ5D and Body Q scores changes over 12 months. Comparison of these changes between different treatment modalities.
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Baseline and 12 months.
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To explore potential disparities in access to Tier 3 based on demographic factors (e.g., ethnicity, socioeconomic status).
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Access Disparities:
Assess whether certain demographic groups are underrepresented in Tier 3 and 4 services
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Baseline and 12 months.
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To explore potential disparities in outcomes from Tier 3 based on demographic factors (e.g., ethnicity, socioeconomic status).
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Outcome Disparities:
Analyse differences in clinical outcomes across various demographic subgroups
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Baseline and 12 months.
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