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Maria Wolters (University of Edinburgh), Aura Szentagotai, Silviu Matu, Ramona Moldovan, Daniel David (Babes-Bolyai University), Brian McKinstry (University of Edinburgh) Chris Burton (University of Aberdeen) eHealth Support for People With Depression in the Community: A Case Study Series Maria Wolters University of Edinburgh for the Help4Mood Consortium [email protected] @mariawolters

eHealth Support for People with Depression - Lessons from Case Studies

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Page 1: eHealth Support for People with Depression - Lessons from Case Studies

Maria Wolters (University of Edinburgh), Aura Szentagotai, Silviu Matu, Ramona Moldovan, Daniel David (Babes-Bolyai University),Brian McKinstry (University of Edinburgh)Chris Burton (University of Aberdeen)

eHealth Support for People With Depression in the Community: A Case Study Series

Maria WoltersUniversity of Edinburghfor the Help4Mood Consortium

[email protected]@mariawolters

Page 2: eHealth Support for People with Depression - Lessons from Case Studies

Overview

❖ What is Depression?

❖ The Development of Help4Mood

❖ 4 Case Studies

❖ What Have We Learned?

Page 3: eHealth Support for People with Depression - Lessons from Case Studies

What is Depression?

Page 4: eHealth Support for People with Depression - Lessons from Case Studies

Mental Illness is common.

http://www.cdc.gov/features/dsdepression/; Cho and Lee (2005) Psychiatr Invest 2005; 2 (1): 22-27

In Korea, rates vary between2% - 7% depending on genderand age.

Page 5: eHealth Support for People with Depression - Lessons from Case Studies

Focus on Major Depressive Disorder

❖ persistent low mood

❖ loss of interest in things that give pleasure

❖ over two weeks or more

❖ plus other symptoms (DSM 4)

Page 6: eHealth Support for People with Depression - Lessons from Case Studies

rosalarian.tumblr.com

Page 7: eHealth Support for People with Depression - Lessons from Case Studies

http://www.optipess.com/2012/09/28/dressing-up/

Page 8: eHealth Support for People with Depression - Lessons from Case Studies

depressioncomix.tumblr.com

Page 9: eHealth Support for People with Depression - Lessons from Case Studies

Treatment Options

❖ Watchful waiting

❖ Lifestyle changes / exercise

❖ Medication: does not always work, needs adjustment, trial and error

❖ Psychotherapy (also Internet-Based Self Help) most forms are equivalent

Davidson, J. R. T. (2010). Major depressive disorder treatment guidelines in America and Europe. The Journal of Clinical Psychiatry, 71 Suppl E, e04. doi:10.4088/JCP.9058se1c.04gry

Baardseth, T. P., Goldberg, S. B., Pace, B. T., Minami, T., Wislocki, A. P., Frost, N. D., … Wampold, B. E. (2013). Cognitive-Behavioral Therapy versus Other Therapies: Redux. Clinical Psychology Review, doi:10.1016/j.cpr.2013.01.004

Page 10: eHealth Support for People with Depression - Lessons from Case Studies

Blended Practice: Human Support Matters

Fig. 1, Johansson and Andersson (2012), systematic review of Internet-Based cognitive Behaviour Therapy

0 - no support1 - contact before treatment2 - contact during treatment3 - contact before and during treatment

http://informahealthcare.com/doi/full/10.1586/ern.12.63#_i11

Page 11: eHealth Support for People with Depression - Lessons from Case Studies

Help4Mood

Page 12: eHealth Support for People with Depression - Lessons from Case Studies

The Team

http://www.help4mood.info

Funding: 2011-2014, European Union Framework 7 Programme

Group of projects were funded, including • ICT4Depression• Monarca• Interstress• OPTIMI

Page 13: eHealth Support for People with Depression - Lessons from Case Studies

Help4Mood: Supporting People with Depression

• daily monitoring • of activity using

actigraph • of mood, thought

patterns & psycho-motor symptoms using talking head GUI

• weekly one-page reports to clinicians

Maria K. Wolters, Juan Martínez-Miranda, Soraya Estevez, Helen F. Hastie, Colin Matheson (2013). Managing Data in Help4Mood AMSYS ICST DOI: 10.4108/trans.amsys.01-06.2013.e2

Page 14: eHealth Support for People with Depression - Lessons from Case Studies

One Help4Mood per Day❖ Users interact with Help4Mood once a day

❖ Sessions can be short, medium, or long

❖ Planning algorithm ensures

❖ different kinds of data are collected regularly, e.g.

❖ mood: every day

❖ speech: 1-3 times per week

❖ sessions are varied

Page 15: eHealth Support for People with Depression - Lessons from Case Studies

The Development of Help4Mood

0. Stakeholder Consultations

• across countries• across key stakeholder groups• across health care systems• across care pathways

Focus Groups

TechnologyProbe

(Powerpoint)

shared, agreedscript

People with depression (All)

General Practitioners(UK / Spain)

Clinical Psychologists(Romania)

Psychiatrists(All)

Community Psychiatric Nurses

(UK)

Burton, C., Wolters, M. K., Blanco, A. S., Szentagotai, A., Ure, J., Pagliari, C., & McKinstry, B. (2012, June 5). Help4Mood: avatar-based support for treating people with major depression in the community. International Journal of Integrated Care. (Conference Abstract, full paper to follow)

Page 16: eHealth Support for People with Depression - Lessons from Case Studies

Patient Focused Development1. Actigraphy

Case Studies

People with history of depression

Page 17: eHealth Support for People with Depression - Lessons from Case Studies

Patient Focused Development1. Actigraphy

2. Mood Tracker +Actigraphy

Case Studies

People with history of depression

Page 18: eHealth Support for People with Depression - Lessons from Case Studies

Patient Focused Development1. Actigraphy

2. Mood Tracker +Actigraphy

3. Mood Tracker,Thought Patterns,Speech + Actigraphy

Case Studies

People with history of depression

People with current depression

Page 19: eHealth Support for People with Depression - Lessons from Case Studies

Patient Focused Development1. Actigraphy

2. Mood Tracker +Actigraphy

3. Mood Tracker,Thought Patterns,Speech + Actigraphy

4. Mood Tracker,Thought Patterns,Behavioural Activation,Relaxation,Speech + Actigraphy

Case Studies

Pilot RCT

People with history of depression

People with current depression

Page 20: eHealth Support for People with Depression - Lessons from Case Studies

Patient Focused Development1. Actigraphy

2. Mood Tracker +Actigraphy

3. Mood Tracker,Thought Patterns,Speech + Actigraphy

4. Mood Tracker,Thought Patterns,Behavioural Activation,Relaxation,Speech + Actigraphy

Case Studies

Pilot RCT

People with history of depression

People with current depression

Page 21: eHealth Support for People with Depression - Lessons from Case Studies

4 Case Studies

Page 22: eHealth Support for People with Depression - Lessons from Case Studies

Design

❖ Participants with Major Depressive Disorder (SCID)

❖ Use Help4Mood for 2 weeks

❖ Background measures include demographics and attitudes to computers

❖ Pre/Post measures to establish change

❖ Qualitative interviews at intake and debriefing

Page 23: eHealth Support for People with Depression - Lessons from Case Studies

Pre/Post Measures of Change

BDI II Depression Screening Beck Depression Inventory II

DAS-SF 2Attitudes Characteristic of Depression

Dysfunctional Attitudes Scale Short Form

QIDS-SR 16 Symptoms of Depression

Quick Inventory of Depressive Symptoms Self Report

EQ-5D-5F Quality of Life Brief Quality of Life Assessment (European Norm)

Page 24: eHealth Support for People with Depression - Lessons from Case Studies

Participants

❖ 4 female professionals between 23-30, computer literacy medium to good, positive attitudes to computers

❖ None formally tracked or measured their mood before, but some used introspection

❖ Used Help4Mood 8-15 times over two weeks

Page 25: eHealth Support for People with Depression - Lessons from Case Studies

Help4Mood as Coping

“I noticed that when I was upset or when I was dealing with negative events I always chose the long session, not the short one.” (P04)

Page 26: eHealth Support for People with Depression - Lessons from Case Studies

Self-Reflection is Hard Work

“This wasn’t very pleasant. Because you don’t go to therapy every day. You wouldn’t go every day; you would go maybe once a week or two or three times maybe, but not every day. It’s a bit too much to use it every day.” (P01)

Page 27: eHealth Support for People with Depression - Lessons from Case Studies

Limits of Technology“I think there was a day when it was really really bad. And poor Roger he was really emphatic and said ‘sorry to hear that’ and at some point he offered an alternative way of thinking which gave me like. . . an insight and it did it at the time. But I felt like I needed more. But I didn’t get it and I had to be satisfied with what I had” (P01)

Page 28: eHealth Support for People with Depression - Lessons from Case Studies

What Have We Learned?

Page 29: eHealth Support for People with Depression - Lessons from Case Studies

It Doesn’t (Quite) Work This Way

http://imgarcade.com/1/depressed-stick-figure/

Well-DesignedMonitoring

Self-Help Internet-Based

Therapy

+

http://www.acog.org/About-ACOG/ACOG-Departments/Long-Acting-Reversible-Contraception

https://www.osneybuyside.com/forget-big-data-just-collect-smart-data/

Protected Peer Support

http://www.clipartsfree.net/small/3977-game-piece-group-clipart.html

Page 30: eHealth Support for People with Depression - Lessons from Case Studies

It’s a complex adaptive system

http://www.thebolditalic.com/articles/3609-the-stick-figure-guide-to-kicking-depression

Individualised monitoring based on what person has & does

Coping and getting better:• Twitter, exercise, kindness• Friends • Medications• GP

Productive (!) self insightand reflection

Page 31: eHealth Support for People with Depression - Lessons from Case Studies

Conclusions

❖ Design for self-reflection

❖ Design for support and coping

❖ Design for personalisation

[email protected] @mariawolters