How to read a paper: Trisha Greenhalgh

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Greenhalgh published a series of 10 papers on BMJ in 1997 titled "How to read a paper". The readership is primarily physicians and health care professionals, as well as policy makers.

How to read a paper: Papers that go beyond numbers (qualitative research) — Greenhalgh and Taylor 315 (7110): 740 — BMJ


In 1993, Pope and Britten presented a paper to the BSA Medical Sociology Group conference entitled "Barriers to qualitative methods in the medical mindset," in which they showed their collection of rejection letters from biomedical journals. The letters revealed a striking ignorance of qualitative methodology on the part of reviewers. In other words, the people who had rejected the papers often seemed to be incapable of distinguishing good qualitative research from bad. Somewhat ironically, qualitative papers of poor quality now appear regularly in some medical journals, whose editors have climbed on the qualitative bandwagon without gaining an ability to appraise such papers. Note, however, that the critical appraisal of qualitative research is a relatively underdeveloped science, and the questions posed in this chapter are still being refined.

Other papers include:

  • Greenhalgh, T. (1997). How to read a paper : getting your bearings (deciding what the paper is about). BMJ, 315, 243-246.
  • Greenhalgh, T. (1997). How to read a paper: Assessing the methodological quality of published papers. BMJ, 315, 305-308.
  • Greenhalgh, T. (1997). How to read a paper: Papers that report diagnostic or screening tests. BMJ, 315, 540-543.
  • Greenhalgh, T. (1997). How to read a paper: Papers that report drug trials. BMJ, 315, 480-483.
  • Greenhalgh, T. (1997). How to read a paper: Papers that summarise other papers (systematic reviews and meta-analyses). BMJ, 315, 672-675.
  • Greenhalgh, T. (1997). How to read a paper: Papers that tell you what things cost (economic analyses). BMJ, 315, 596-599.
  • Greenhalgh, T. (1997). How to read a paper: Statistics for the non-statistician. I: Different types of data need different statistical tests. BMJ, 315, 364-366.
  • Greenhalgh, T. (1997). How to read a paper: Statistics for the non-statistician. II: "Significant" relations and their pitfalls. BMJ, 315, 422-425.
  • Greenhalgh, T. (1997). How to read a paper: The Medline database. BMJ, 315, 180-183.
  • Greenhalgh, T., & Taylor, R. (1997). How to read a paper: Papers that go beyond numbers (qualitative research). BMJ, 315, 740-743.

And these are freely accessible at BMJ’s website:

Papers that go beyond numbers (qualitative research)
Trisha Greenhalgh, Rod Taylor

Papers that summarise other papers (systematic reviews and meta-analyses)
Trisha Greenhalgh

Papers that tell you what things cost (economic analyses)
Trisha Greenhalgh

Papers that report diagnostic or screening tests
Trisha Greenhalgh

Papers that report drug trials
Trisha Greenhalgh

Statistics for the non-statistician. II: "Significant" relations and their pitfalls
Trisha Greenhalgh

Statistics for the non-statistician
Trisha Greenhalgh

Assessing the methodological quality of published papers
Trisha Greenhalgh

Getting your bearings (deciding what the paper is about)
Trisha Greenhalgh

The Medline database
Trisha Greenhalgh

 

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