About this dataset Longitudinal, de-identified clinical records from a UK metabolic and Type-2-Diabetes remission programme: enrolment, GLP-1 medication, daily wearable and self-reported measures, periodic labs, care interactions and programme outcomes.
De-identified research use only. Aggregate results may be published; re-identification and record-level extraction are prohibited.
Visibility Restricted — only organizations the owner names can discover and use it. The allow-list itself is the owner’s to see.
Apps allowed to use this data 1 application is on the allow-list.
Any other app is rejected at mount time — the gatekeeper checks the deployment evidence against this allow-list before releasing data.
patients 9 fields Patient profile: one row per enrolled patient (anonymised). Column Type Description
patient_id string Anonymous patient identifier (primary key).
age_band string Age band, e.g. 45-54.
sex string Sex: female/male.
region string Broad region within the country.
enrolment_date date Date the patient enrolled in the programme.
programme_type string Metabolic Reset / Weight Management / Type 2 Remission.
referral_channel string GP / Self-referral / Employer / Insurer.
consent_status string Granted or withdrawn.
status string Active / completed / dropped_out / paused.
baseline_health 14 fields Starting clinical picture at enrolment. Column Type Description
patient_id string Patient identifier.
weight_kg number Baseline body weight in kilograms.
height_cm number Height in centimetres.
bmi number Body mass index at baseline.
waist_cm number Waist circumference in centimetres.
hba1c_pct number Baseline HbA1c percent (glycated haemoglobin).
fasting_glucose_mmol number Fasting glucose mmol/L.
systolic_bp integer Systolic blood pressure mmHg.
diastolic_bp integer Diastolic blood pressure mmHg.
primary_diagnosis string Type 2 Diabetes / Prediabetes / Obesity / Metabolic Syndrome.
prior_treatment string Metformin / Lifestyle only / None / Insulin.
smoker string Never / former / current.
alcohol_units_week integer Alcohol units per week.
family_history_t2d integer Family history of type 2 diabetes (0/1).
care_plan 9 fields Personalised care plan assigned at programme start. Column Type Description
patient_id string Patient identifier.
diet_approach string Low-carb / Mediterranean / Time-restricted eating / Very-low-calorie.
fasting_window string Fasting window, e.g. 16:8.
calorie_target integer Daily calorie target.
protein_target_g integer Daily protein target grams.
exercise_goal_min_week integer Weekly exercise goal minutes.
clinician string Assigned clinician.
mentor string Assigned mentor.
plan_start_date date Care plan start date.
medication 11 fields GLP-1 / diabetes medication with dose changes over time. Column Type Description
record_id string Medication record id.
patient_id string Patient identifier.
drug_name string Semaglutide / Tirzepatide / Liraglutide / Metformin / Dulaglutide.
drug_class string GLP-1 RA / Biguanide / GLP-1/GIP.
dose_mg number Dose in milligrams.
frequency string Weekly or daily.
start_date date Medication start date.
end_datenullable date Medication end date (nullable).
adherence_pct integer Adherence percent.
side_effects string Reported side effects (nausea, vomiting, ...).
change_reason string Titration / side effects / insufficient response / none.
daily_health 12 fields Daily wearable + self-reported record, one row per patient-day. Column Type Description
patient_id string Patient identifier.
date date Calendar date.
weight_kg number Daily body weight kg.
steps integer Daily step count.
active_minutes integer Active minutes.
sleep_hours number Hours slept.
resting_hr integer Resting heart rate bpm.
glucose_mmol number Glucose reading mmol/L.
mood integer Self-rated mood 1-5.
hunger integer Self-rated hunger 1-5.
stress integer Self-rated stress 1-5.
symptom string Reported symptom or none.
diet_fasting 11 fields Meal-level diet and fasting log. Column Type Description
patient_id string Patient identifier.
date date Calendar date.
meal string Breakfast / lunch / dinner / snack.
calories integer Meal calories.
protein_g integer Protein grams.
carbs_g integer Carbohydrate grams.
fat_g integer Fat grams.
fasting_hours number Fasting duration hours.
eating_window_h number Eating window hours.
adherence_flag integer Within plan (0/1).
binge_flag integer Binge-eating flag (0/1).
clinical_measurements 10 fields Periodic labs / home test results. Column Type Description
patient_id string Patient identifier.
date date Measurement date.
hba1c_pct number HbA1c percent.
systolic_bp integer Systolic BP mmHg.
diastolic_bp integer Diastolic BP mmHg.
waist_cm number Waist cm.
ldl_mmol number LDL cholesterol mmol/L.
hdl_mmol number HDL cholesterol mmol/L.
triglycerides_mmol number Triglycerides mmol/L.
weight_kg number Weight kg.
care_interactions 8 fields Messages, calls, clinician reviews and mentor check-ins. Column Type Description
patient_id string Patient identifier.
date date Interaction date.
channel string Message / video call / phone / clinician review / mentor check-in.
type string Routine / issue / escalation.
clinician string Clinician involved.
issue string Issue category.
action string Action taken.
follow_up string None / scheduled / urgent.
app_engagement 9 fields Weekly app-engagement rollup. Column Type Description
patient_id string Patient identifier.
week_start date Week start date.
logins integer Logins in the week.
wearable_syncs integer Wearable syncs.
meal_logs integer Meal logs.
weigh_ins integer Weigh-ins.
content_views integer Content views.
messages_sent integer Messages sent.
engagement_score integer Engagement score 0-100.
outcomes 7 fields Current programme outcome, one row per patient. Column Type Description
patient_id string Patient identifier.
weight_loss_pct number Percent weight loss achieved.
hba1c_change number HbA1c change (negative = improvement).
medication_reduction string None / dose reduced / stopped.
retention_days integer Days retained in programme.
dropout integer Dropped out (0/1).
response_category string Strong responder / slow responder / non-responder / early dropout.