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Systematic Reviews and Meta-Analyses for Effective Health Economics Studies

Learn about systematic reviews and meta-analyses in health economics studies. Discover how these methods can provide valuable insights, avoid biases, and lead to cost-effective interventions.

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Systematic Reviews and Meta-Analyses for Effective Health Economics Studies

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  1. Systematic reviews, meta analyses, and cost effectiveness studies Paul K. Crane, MD MPH General Internal Medicine Harborview Medical Center

  2. Types of review articles • Expert opinion • Generally commissioned or specifically requested • Based on literature and experience in the field • Systematic reviews • Can be done be anyone • Avoid biases of experts; seeks out all data • Economics papers – cost effectiveness studies • Specifically relate to money

  3. Systematic reviews • “systematic” part is the science part – the search strategy and specific criteria are specified, so it could be replicated • Work best (as we’ll see) with a specific question, the more specific the better • A great idea if you have a pre-specified niche and you know what that is • Downside: tedium. Make sure it’s an area you want to spend time with

  4. Meta-analysis • Mathematical technique for combining data from multiple studies • Applied to systematic reviews if combining data is used; systematic reviews need have no numerical results, though

  5. Economics papers • Cost-effectiveness studies and their ilk • Develop an economic model of a population with various outcomes and the costs of each of those outcomes • Thought experiment: what would outcomes be if we did an intervention instead • Often expressed as cost per life year saved, or cost per QALY • Models only as good as primary data

  6. General points on these designs • Require little funding • Great way to get published in an area as a junior person and obtain a reputation • Great way to systematically read the literature, but there’s a lot of garbage; need to consider study quality • Those expert review articles aren’t so bad after all!

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