Veteran investigative reporters Steve Buist, Hamilton Spectator; Jennifer Verma, Canadian Health Services Research Foundation; and moderator Sharon Manson Singer, EvidenceNetwork.ca, will share where to go for hyper-local health stats and story ideas, offer examples of good and bad health reporting, help you interview wordy researchers, find real patients and offer tips on how to tell good science from bad. Co-presented by the Health Evidence Network of Canada. MANITOBA
Steve: "10 Questions to consider when writing about science:"
1. Who's conducting the science?
2. Who's paying for the research?
3. Who's paying the researcher?
4. Where are the results being published?
5. What was the population being tested?
6. What was the sample size?
7. How significant are the results?
8. What do other people think and do those people have their own conflicts of interest?
9. How do the results factor into the context of the known?
10. Are there opposing viewpoints and how much weight should those viewpoints be given?
Sidenote from Sharon: "Bad science story can greatly affect public policy."
9:51am: Jenn speaks about "Making measures meaningful: finding & interpreting health data"
Jenn: "Mythbusters, a model for using evidence to debunk common misconceptions (aka zombie ideas) in Canadian healthcare."
Jenn: "There's so much research that shows that research itself can be done better."
Jenn: Interpreting data
- Tells you the "what" but not the "why".. Ex. Rising BMI doesn't explore root cause of weight gain.
- Comparing apples-to-apples? Age Standardization, Risk Adjustment
- Measuring intangibles - Quality of Life, Composite Indicators