1. Development of a Pain Management Database
Dr John E. Williams
Dr John Schutzer-Weissmann
Dr Matt Brown
Dr Paul Farquhar-Smith
Development of a Pain Management Database

2. Development of a Pain Management Database 01.02.2017

3. Aims Patient-focused 2. Collect longitudinal data
Development of a Pain Management Database
Aims
Patient-focused
2. Collect longitudinal data

4. The Royal Marsden Pain Database
Development of a Pain Management Database
The Royal Marsden Pain Database
Clinician-level data
A. Patient-level data
Completed by patients
Tablet-based
Validated assessment tools

5. Assessment Tools Brief Pain Inventory Pain Severity and Interference
Development of a Pain Management Database
Assessment Tools
Brief Pain Inventory
Pain Severity and Interference
Douleur Neuropathique-4
Neuropathic pain
Hospital Anxiety and Depression Scale
Anxiety and Depression
Patient Global Impression of Change
Satisfaction with Care
Patient Neurotoxicity Questionnaire
Functional Impairment due to Peripheral Neuropathy
Functional Assessment of
Chemo-Toxicity
Chemotherapy-Induced Peripheral Neuropathy

6. The Royal Marsden Pain Database
Development of a Pain Management Database
The Royal Marsden Pain Database
B. Clinician-level data
Demographic
Cancer diagnosis/Rx
Pain diagnosis/details
Treatment
- opioids/topical drugs
non-pharmacological

7. The Royal Marsden Pain Database
Development of a Pain Management Database
The Royal Marsden Pain Database
A. Patient-level data
B. Clinician-level data
Electronic Patient Record

8. The Royal Marsden Pain Database
Development of a Pain Management Database
The Royal Marsden Pain Database
Patient-level data
Clinician-level data
Electronic Patient Record
PAIN DATABASE
Patient-reported pain data
Pain diagnostic and therapeutic data
Linked to all other EPR data
Research Ethics/Governance Approved

9. Data Acquisition 628 datasets 362 patients 266 rpt measures
Development of a Pain Management Database
Data Acquisition
628 datasets
362 patients
266 rpt measures

10. Demographics Treatment-related 47% PPSP 36% CIPN 16% DXT 11% Other
Development of a Pain Management Database
Demographics
628 datasets
362 patients
266 rpt measures
Treatment-related
47% PPSP
36% CIPN
16% DXT
11% Other

11. Development of a Pain Management Database 01.02.2017
Pain Outcomes

12. Development of a Pain Management Database 01.02.2017
Pain Outcomes

13. Development of a Pain Management Database 01.02.2017
Pain Outcomes

14. Pain Outcomes Much Worse
Development of a Pain Management Database
Pain Outcomes
Much Worse

15. Development of a Pain Management Database 01.02.2017
Pain Outcomes

16. Development of a Pain Management Database 01.02.2017
Pain Outcomes

17. Other outcomes, 2017 ‘an integrated clinical research strategy on chronic pain’
Is worsening severity of pain a marker for oncological deterioration?
Is pregabalin effective for non-licensed indications?
Are patients compliant in their analgesic medication usage?

18. Developments in 2017 ‘MyPain’ 2. Links with CMC
‘Dynamic Digital Platform’ for PROMS
for specific oncology studies (& links with Imperial College)
4. ‘Plug and Play’ for use elsewhere in NHS

19. 1. My Pain
½ page summary of the database – for patients and health care professionals
Consist of;
1. Aetiology of the pain
2. Treatment of the pain
3. Treatment plan if pain gets worse

20. My Pain

21. 2. Links with CMC Links with an established internet based system
Potentially scalable nationally
Use of database on mobile phone

22. 3. Dynamic Digital Platform for PROMS
Use in oncological studies (e.g. sarcoma, ovarian cancer, melanoma etc.)
Could be used at Imperial College (linking with Health Economics, Public Health etc.)

23. 4. ‘Plug and Play’ Use as a system elsewhere in NHS
National links (e.g. via Faculty of Pain Medicine, Pain Society etc.)

24. Short listed for NHS Digital Award;
Conclusion Routine Electronic Data Collection achievable & platform for evaluation of outcomes
Key Features
Patient-orientated
Linked to EPR
Dynamic
Ethics approved
Developments, 2017
My Pain
Links with CMC
Use in other studies
‘Plug and Play’
Short listed for NHS Digital Award;
22 February 2017