Title: Udo Buchholz,
1Preparing a presentation on quantitative data
- Udo Buchholz,
- WHO/Stop TB/TME
2Outline
- How to get started preparing the concept of the
talk - Preparing the concept of the slides
- Preparing the individual slides
- Layout "rules"
3How to get started?
- Who is my audience?
- What will be the main message that the data will
support? - Which are the data that I want to present?
- Whom do I need to include as co-author?Whom do I
need to ask for permission to show certain data? - If the presentation is for a conference when is
the deadline? - Make sure you get the first draft ready early
enough so that co-authors and colleagues have
time to read and comment
4Preparing the structure of the presentation
- How much time do I have for the talk?
- Calculate 1 minute per slide, so e.g. 15 minutes
? 15 slides - Usual scientific presentation is divided into
(but may vary)Title slide (1)Outline (1)O
bjectives of the study (1)Background (1-2)Meth
ods (1-3)Results (2-4)Conclusions (1-2)Re
commendations (1-2)Acknowledgements (1) - Next give all slides a title to see if you can
show and say everything you want to present - Make sure that you have always the same order in
the Methods, Results, Conclusions (and
Recommendations) e.g. (1) TB in the general
population (2) TB among homeless (3) TB among
prisoners
5Preparing the data
- Which core data do I want to present?
- How can I present them best
- Purely descriptive?
- As a FIGURE? (Yes. Remember A picture says more
than 1000 words!!!) - In a table?
- Collect the core data you want to present
- Create all figures and tables
6Title slide
- You can be creative
- Include
- Title
- Meeting for which presentation was prepared
- Authors
- Affiliations
7Outline
- Overview of contents of presentation
- 5-6 bullets
8Background/Introduction
- Background information that
- can give important background information, e.g.
about the set-up of the surveillance system as
long as it contributes to the understanding of
the presentation - sets the stage, e.g. basic statistics on TB and
small studies that have shown high rates of
multi-drug resistance - shall lead to the objective of the study
9Objectives
- 1-3 objectives
- "To do " sentences
- Example "To investigate the relationship of the
proportion of re-treatment cases among all cases
and antituberculous drug resistance"
10Methods
- Data used (if necessary, acknowledge the source),
e.g. surveillance data, survey data, - Study methodology
- Case definition (if necessary) or clarification
of terms, e.g. "A homeless person was defined as
a person without a registered home". - Keep "Methods" to a minimum, but have information
at your finger tips (or on "reserve slides"),
such as - Sample size
- Statistical methods (tests) used
- Software used (epi-info, Excel, etc.)
11Results
- Present data without any opinion, just report
- Start with descriptive data study population,
time of study, place of study, age, sex, .. - Then analytical results, incl. the FIGURES and
tables that you had prepared already
12Preparation of a figure (1)
- Method 1 Create figure in Excel gt copy gt
MenuEditPast special gt Picture (Enhanced
metafile) - Otherwise you have all the data still connected
with the figure which makes the file very large - Method 2 Use the chart creation feature of Excel
(MenuFormatSlide LayoutContent Layout), but
this is not as flexible as Excel
13Preparation of a figure (2)How NOT to do it
zx
Legend for one data series usually not necessary
but for gt1 data series important
14Preparation of a figure (3)Please NO 3D-figures
- Unreadable
- Confusing
- Unscientific
15Preparation of a figure (4) How to do it better
TB notification rates, all forms country X,
1995-2004
No title
Data points well visible connecting line not
always appropriate
Notification rate
Legend only if there are more than one data
series displayed
Year
- Optional here the main message of the figure
16Preparation of a table
- Method 1 From Word (Copy gt Paste special)
- Method 2 From Excel (Copy gt Paste special)
- Method 3 Use Excel feature (MenuFormatSlide
LayoutContent Layout) which is sometimes a bit
painful to work with
17Example of a table
- Optional put the main message below the table
- Put in the title and table header all of the
information necessary to understand the table
18Conclusions
- Conclusions must follow from the results
presented, for example - "Treatment success rates below WHO targets"
- "Proportions of retreatment cases correlate well
with MDR-rates"
19Recommendations
- Must follow from the Results
- Recommend only what you get approved from
authors or "higher-ups" (if recommendations are
politically delicate)
20Acknowledgements
- Who ever you think is appriopriate
- Every author AND every acknowledged persons
should agree with the presentation - ? all of these persons should also see the
presentation before it is finalized
21Last slide and beyond
- The last slide
- E.g. "Thank you", foto of your team, After
the last slide - Think of possible questions and prepare "reserve
slides" for that
22Layout (1)
- Consider using a simple master slide (Go to
"View"gt"Master"gt"Slide master") - Nothing wrong with black and white
- Keep the slides well legible, avoid "busy" slides
- Avoid too fancy make-up (words flying in from
left and right). It distracts. - Wording "headlines" preferred, .e.g."Reduction
of mortality by 6/year" and not "The mortality
was reduced by 6/year"
23Layout (2)
- Abbreviations must be introduced the first time
they are used, e.g. drug resistance (DR) - Words must be clearly legible
- Font no fonts with serifs (e.g. Times New
Roman), use sans serifs, e.g. Arial. - Bold everything (already in master slide)
- Size large, such as (32)36-44 for the title,
24-32 for bullet points - Not more than 10-12 lines per slide
- Lastly a presentation that is well
understandable is also well remembered
24Some example slides
25Average age of SS patients
The chards show average age of the revealed cases
segregated by years. As can be seen the average
age of male patients ranges between 39-45, and
female patients accordingly 35-44. We can
observe adverse trend among females TB becomes
younger.
26DOTS Coverage 2002 - 2005
27Age groups and Gender distribution
28Regional Data
29Outcomes of cases registered in 2002
30- TB Control Programme in Georgian Prisons
- Graph with notification rates of new, new SS and
all cases - (all types and smear positive)
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