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Interactive Learning

Cochrane Interactive Learning: Conducting an Intervention Review

內容僅提供英文版本

What systematic reviews are, why they are useful, framing a review question, process for reviews.

Why protocols are a crucial step, components of a protocol, framing eligibility criteria.

Why systematic and rigorous searches are important, planning and designing search strategies, sources of studies, managing and reporting the process.

How to select studies for inclusion, systematically collecting different data types that meet criteria.

What bias is, how to assess the risk of bias in randomized trials in different sources.

How to analyse different types of data, effect measures, undertaking meta-analysis, recognizing heterogeneity.

How to interpret results of statistical analysis, reporting bias, using GRADE method to report on certainty of evidence.

The reporting process, creating ‘Summary of findings’ tables, writing up results, discussing evidence, drawing conclusions, summary formats.

Introducing health economics and considerations for this in a systematic review.

Introduction to  network meta-analysis (NMA) in the context of a systematic review of randomized trials.

Putting the equity lens on your systematic review.

Getting started with qualitative evidence synthesis, taking stock of evidence, synthesising and developing findings and writing up a report.

How to conduct a rapid review, including key differences from systematic reviews and practical approaches to streamline the process.

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Jahanzaib M - 9 七月 2023
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Rebecca H - 5 七月 2023
Adittya A - 5 七月 2023
Emmanuel D - 5 七月 2023
Helpful (1)
Anonymous - 4 七月 2023
It could be more interactive in terms of videos and different modes of presenting the content. A lot of text gets boring quickly, though the modules have good size overall.
Mohamed A - 4 七月 2023
Saba T - 3 七月 2023
Amber Q - 3 七月 2023
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Anonymous - 2 七月 2023
samarasimha R - 2 七月 2023
Medard A - 2 七月 2023
Anonymous - 30 六月 2023
Helpful (0)
Anonymous - 29 六月 2023
I am completely new to systematic reviews and this training is very good, but a little over my head. I don't like it when the modules ask us to make a guess on items not yet taught, as it just frustrates me. I feel like there is another beginner course I missed.

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