Investigating the feasibility and acceptability of providing online guided self-help for binge eating in adults with type 2 Diabetes

Providing Online guided Self-help for Eating disorders in adults with type 2 Diabetes (POSE-D): a pilot study

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

ISRCTN

Registry ID

ISRCTN12377526

Enrollment

Registered

2021-11-25

Start date

2022-06-13

Completion date

Unknown

Last updated

2024-12-02

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

Conditions

Management of binge eating in adults with Type 2 diabetes Mental and Behavioural Disorders Binge easting

Interventions

All participants will be offered the intervention. It comprises a 7 session guided self-help intervention completed over 3 months, accessed online, and supported in 7 x 1 h sessions via Zoom (or simil

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. T2 diabetes diagnosis 2. Experience of binge eating within last 6 months 3. Aged =18 years 4. English literate

Exclusion criteria

Exclusion criteria: 1. Current treatment for eating disorder 2. Current psychological therapy 3. Bariatric surgery in last 6 months 4. BMI <18 kg/m² 5. Identify as living with a learning disability 6. Severe mental illness 7. Hearing or visual impairment 8. Unable to speak English

Design outcomes

Primary

Measure	Time frame
Binge eating measured using the Gormally Binge Eating Scale (BES) at 3 months	—

Secondary

Measure	Time frame
1. Binge cessation measured using the Eating Disorder Examination Questionnaire (EDEQ v6) at baseline, 3, and 6 months. 2. Eating disorder behaviours and psychopathology measured using the 28-item Eating Disorder Examination Questionnaire EDE-Q (v6) at baseline, 3, and 6 months 3. Mood measured using the Patient Health Questionnaire -9 (PHQ-9) and Generalized Anxiety Disorder -7 (GAD-7) at baseline, 3, and 6 months 4. Health related quality of life measured using the EQ5D-5L at baseline, 3, and 6 months 5. Physiological markers of diabetes measured using weight, height, and HbA1c from blood samples at baseline, 3, and 6 months, unless they have had a recent test within the past 4 weeks. 6. Engagement and drop-out measured using documentation of participant uptake, drop-out, and withdrawal and digital usage data collected between baseline and 6 months. The study will utilise advanced interaction and tracking technology will be used to identify detailed interactions of the participants with the online self-help materials. This will include (but is not limited to) access times, progress markers, repeat access of specific materials, frequency of access and progress throughout the guided sessions. The data will be used to derive usage patterns, a detailed understanding of engagement with the material, and to help understand where further help and support may be needed within the guided self-help programme. The data collection is automated with the triggers embedded within the learning content which will provide a good standard for data coherence.	—

Measure

Time frame

1. Binge cessation measured using the Eating Disorder Examination Questionnaire (EDEQ v6) at baseline, 3, and 6 months. 2. Eating disorder behaviours and psychopathology measured using the 28-item Eating Disorder Examination Questionnaire EDE-Q (v6) at baseline, 3, and 6 months 3. Mood measured using the Patient Health Questionnaire -9 (PHQ-9) and Generalized Anxiety Disorder -7 (GAD-7) at baseline, 3, and 6 months 4. Health related quality of life measured using the EQ5D-5L at baseline, 3, and 6 months 5. Physiological markers of diabetes measured using weight, height, and HbA1c from blood samples at baseline, 3, and 6 months, unless they have had a recent test within the past 4 weeks. 6. Engagement and drop-out measured using documentation of participant uptake, drop-out, and withdrawal and digital usage data collected between baseline and 6 months. The study will utilise advanced interaction and tracking technology will be used to identify detailed interactions of the participants with the online self-help materials. This will include (but is not limited to) access times, progress markers, repeat access of specific materials, frequency of access and progress throughout the guided sessions. The data will be used to derive usage patterns, a detailed understanding of engagement with the material, and to help understand where further help and support may be needed within the guided self-help programme. The data collection is automated with the triggers embedded within the learning content which will provide a good standard for data coherence.

—

Countries

England, United Kingdom

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026