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LUCADA RBH Experience

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Relevant cytology reports sent to MDT Facilitator ... Receipt of copies of histology/cytology reports. CSV upload from database. Difficulties ... – PowerPoint PPT presentation

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Title: LUCADA RBH Experience


1
LUCADARBH Experience
  • Nancy Horseman,
  • Cancer Information Manager
  • The Royal Bournemouth Christchurch Hospitals
    NHS Trust
  • Lucada Early Adopter

2
Participation
  • Another hoop despite lack of staff, lack of time,
    inadequate local tools?
  • A national solution! We were committed and keen.

3
Background
  • My mother was diagnosed with small cell lung
    cancer the day I found out I was pregnant with my
    first child
  • She died 9 months later
  • Who do you know?

4
Project History at RBH
  • Lung cancer audit commenced in 1999 as a
    cross-district project
  • Data collection based around core minimum dataset
    published by Mick Peake in 1999 with addition of
    locally identified data items
  • Measurement against British Thoracic Society
    standards

5
RBH Project History Cont.
  • Funding for continuation of audit allocated to
    individual Trusts end 1999 facilitator employed
    for 22 hrs p/w (transformed to MDT Facilitator
    post in 2002, 30 hrs p/w)
  • RBH developed home-grown in-house lung cancer
    database in Microsoft Access

6
More RBH Project History
  • Dataset updated at various stages to accommodate
    new requirements
  • Dangers of DIY
  • PMI link written
  • CSV uploads written for Cancer Waiting Times
    (CWT) and LUCADA

7
Identification of New Cancers and Treatment
Details
  • MDT referrals
  • Copies of letters from Thoracic Consultants,
    Surgeon, and Oncologists sent to MDT Facilitator

8
Identification of New Cancers and Treatment
Details
  • Histo-pathology reports, collected daily from
    Histo-pathology department by Cancer Waiting
    Times Facilitator, distributed to MDT
    Facilitators
  • Relevant cytology reports sent to MDT Facilitator
  • Monthly spreadsheet from Information Department,
    entered by coders on PMS

9
LUCADA/CWT and MDT
  • Newly diagnosed patients and newly treated
    patients are routinely discussed at the MDT
    meeting (99.4), providing the ideal opportunity
    to capture audit and CWT data
  • Patients receiving on-going care are also
    discussed, enabling capture of treatment and
    follow-up data

10
Prior to the MDT Meeting
  • MDT referral forms sent to MDT Facilitator
    (completed by clinical team members) and details
    entered onto database
  • Consultant Physician reviews referrals and
    casenotes for each patient discussed at MDT and
    completes MDT proforma (printed from database)
  • Database record updated

11
During the MDT Meeting
  • Summary displayed on screen at MDT meeting
  • The facilitator records results of investigations
    and management plans
  • Data entry is proofed and approved by MDT
  • The facilitator notes which patients are relevant
    for data collection (eg new diagnosis, new
    treatment, follow-up, not applicable)

12
Following the MDT Meeting
  • MDT summaries signed by Nurse Specialist, faxed
    to GP and filed
  • Data collection completed from MDT summaries,
    letters and hospital patient management system
    (eCaMIS)

13
Prior to Upload
  • Queries run to identify patients awaiting
    treatment or completion of audit data
  • Check queries run to ensure data completeness

14
Best Practice
  • High proportion of patients discussed at MDT
    meeting (99.4)
  • Completion of MDT Summary by Consultant Physician
    prior to MDT meeting and display of summary at
    meeting
  • MDT Summary updated to included relevant LUCADA
    data fields, previously difficult for Facilitator
    to collect FEV1/, Co-morbidity, Performance
    Status, Stage

15
Best Practice
  • Letters and investigation results available on
    PMS/eCaMIS
  • Links with Facilitators in other hospitals to
    obtain details of treatment received
  • Receipt of coded information from Information
    Department
  • Receipt of copies of histology/cytology reports
  • CSV upload from database

16
Difficulties
  • Inaccuracies of CSV upload, some manual entry
    required (subsequent lack of confidence in CSV)
  • Certain data items
  • Time! (Staff illness)
  • Balance between MDT and data collection

17
Benefits
  • Audit as part of clinical practice
  • Uniform data collection facilitates network-wide
    audit
  • Comparative results
  • Readily available reports

18
Developments Awaited
  • Presentation of results
  • Measurement against nationally agreed standards
  • Completion of audit cycle
  • Identification of problem areas and improvements
    made
  • Celebrate success
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