A 10-minute presentation by Melanie Voevodin to post-graduate students in health at Dandenong Hospital, Melbourne, Australia 28th July 2011. Voevodin, Truby, Haines, Palermo

1. Medicine, Nursing and Health Sciences
Measuring Dietetic Practice (MDP)
Developing data-reporting tools for dietitians
melanie.voevodin@monash.edu
Department of Nutrition and Dietetics
Monash Medical Centre
28th
July 2011
With:
Helen Truby
Claire Palermo
Terry Haines

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July 2011The MDP Study: developing data-reporting tools for dietitians 2
The Plan
1. Framing the problem
2. Introduction to the MDP Study
Developing data-reporting tools for dietitians
RQ: Can a data-reporting system lead to improved health outcomes?
3. Study Protocol
Objectives
Study design and methods
4. What now and what next?
Ethics and go

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July 2011The MDP Study: developing data-reporting tools for dietitians 3
Framing the ‘Problem’

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July 2011The MDP Study: developing data-reporting tools for dietitians 4
1996 1998 2000 2002 2004 2006 2008 2010…
Hons
(Med, UWA)
MastNutrDiet
(Deakin)
Austin
Health
Melbrn
Health
Alfred
Health
Thesis
(Masters)
MPubPolGov
(BUSECO, Monash)
GCHealthEco
(BUSECO)
RMIT Deakin WCMICS
(Vic State)
Nestle
A problem in practice?
Independent NGO doing systematic
review, critical analysis….
PhD
Real Jobs
Study
Business
Timeline (Year)

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July 2011The MDP Study: developing data-reporting tools for dietitians 5
What is the problem?
 No data…..no problems….but no solutions
 Data is the starting point
 What to measure
 How to measure it
 How and where to record it
 How to report it
 Know what the report means
 An efficient way of recording and reporting

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July 2011The MDP Study: developing data-reporting tools for dietitians 6
1996 1998 2000 2002 2004 2006 2008 2010…
Why is no data a problem?
We’ve been doing this for years, why now?
Timeline (Year)
NAHCC
AAHCS
NAHCC
HAH
NHISSC
Health
Performance
(2010)
Gov Reform
$ for
performance
Casemix
$/person/a
dmission
Contract and
competitive
tendering
NHPC
Performance in
health (2001)
eHealth (global)
Communication across sectors and services
PCEHR
SNOMED
NHHR
Casemix
Allied Health
Gov Reform
And tech
IDNTNCP BPGDietitians
Chronic Illness
Demand on Health
$ for health

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July 2011The MDP Study: developing data-reporting tools for dietitians 7
Why is it a problem?
 No data…..no problems….but no solutions
 Performance reporting (leverage for $)
 Evidence of contribution to health
 Responsible and flexible service, sustainable, client centred

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July 2011The MDP Study: developing data-reporting tools for dietitians 8
Whose problem is it?
 Health professions
 Service provider, teaching and training, policy
 Client
 Right care to right person at the right time
 Governments $

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What are the options?
 No data…..no problems….but no solutions
 Data is the starting point
 What to measure
 How to measure it
 How and where to record it
 How to report it
 Know what the report means
 An efficient way of recording and reporting

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Introduction to the MDP Study
Developing data-reporting tools for dietitians
Can a data-reporting system lead to improved
health outcomes?

11. The Case
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July 2011The MDP Study: developing data-reporting tools for dietitians 11
Rationale
Dietitians Convenience
Practicing in Victoria who: Convenience
-See people for weight loss
advice and support
Common, chronic, measures over time,
BPG, and economic markers
-Measure weight (kg) Primary outcome for obesity treatment
Primary research outcome
Cheap and easy to measure
-Primary & community care Where chronic conditions are diagnosed
and managed [demand predicted to
increase]

12. Objectives
To assess the effect on client outcome when the dietitian has
received data on the effectiveness of intervention/s
 Build and test a simple data-collection tool for use by dietitians
working with clients who are overweight and obese
 To identify and describe the dietetic service, and client
characteristics, that may influence client outcome
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July 2011The MDP Study: developing data-reporting tools for dietitians 12

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July 2011The MDP Study: developing data-reporting tools for dietitians 14
Measuring Dietetic Practice – Data
Mining (MDP-DM): 10 years of client
data from private practice
Exploratory research
What is happening, why and with what consequences?

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Build a data-collection tool

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17. Data-reporting for dietitians
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18. NCP
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Build a data-collection tool

20. Objectives of MDP-DM
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July 2011The MDP Study: developing data-reporting tools for dietitians 20
 Identify data items measured and recorded as part of practice by three
private practice dietitians
 Compare the data against the theoretical components of health service
reporting (efficiency and effectiveness)
 Determine the health services’ performance (efficiency and
effectiveness)
 Compare and contrast the similarities and differences between the
three cases
 Use results to build a prototype data-collection-tool for use in the MDP
Study

21. Data-mining
What is happening in practice, why, and how close or how far is
this from where we need to be?
 Three dietitians in three states
 10 years of paper records
 What did they collect and record
 What can you do with that data
 How hard or how easy is it to do that
 Is it enough to report to the NHPR
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What now and what next?

24. Update
 Recruitment strategy approved
 Questionnaires
 Website
 Protocols
 Ethics….and go!
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