Intention-to-Treat Analysis: Implications for Quantitative and Qualitative Research (original) (raw)

Journal Article

Department of Medical Statistics

University of Newcastle upon Tyne, UK

Present address: Centre for Heahh Economics Research and Evaluation (University of Sydney), Westmead Hospital, Westmead, NSW 2145, Australia

Search for other works by this author on:

Published:

01 October 1992

Cite

DAVID J NEWELL, Intention-to-Treat Analysis: Implications for Quantitative and Qualitative Research, International Journal of Epidemiology, Volume 21, Issue 5, October 1992, Pages 837–841, https://doi.org/10.1093/ije/21.5.837
Close

Navbar Search Filter Mobile Enter search term Search

Abstract

Newell D J (Department of Medical Statistics, University of Newcastle upon Tyne, UK). Intention-to-treat analysis: implications for quantitative and qualitative research. International Journal of Epidemiology 1992, 21: 837–841

Intention-to-treat analysis is an important aspect of randomized controlled trials of health care interventions. The concept is now widely accepted in theory, but not always implemented in practice. Failure to analyse by intention-to-treat can give misleading and indeed life-threatening interpretations. In some studies, a case is put for estimating the effect that would have been observed if all patients had received the allocated treatment. Situations where this is valid are rare, but an example is given of such an exceptional study. The relevance of the intention-to-treat concept is not always taken into account in qualitative research. Interviews with new mothers who delivered their babies at home in a hypothetical controlled trial of home versus hospital confinement would provide fascinating accounts of the pleasures of successful delivery at home. But by definition the interviews would exclude the hazard and drama of necessary transfers to hospital due to complications in late pregnancy and early labour. The intention-to-treat approach would avoid this bias.

This content is only available as a PDF.

© International Epidemiological Association

Advertisement intended for healthcare professionals

Citations

Views

Altmetric

Metrics

Total Views 3,746

228 Pageviews

3,518 PDF Downloads

Since 1/1/2017

Month: Total Views:
January 2017 7
February 2017 34
March 2017 27
April 2017 44
May 2017 20
June 2017 22
July 2017 10
August 2017 21
September 2017 18
October 2017 18
November 2017 25
December 2017 11
January 2018 27
February 2018 26
March 2018 39
April 2018 51
May 2018 29
June 2018 13
July 2018 9
August 2018 10
September 2018 10
October 2018 9
November 2018 12
December 2018 13
January 2019 16
February 2019 10
March 2019 58
April 2019 42
May 2019 26
June 2019 16
July 2019 8
August 2019 13
September 2019 15
October 2019 20
November 2019 30
December 2019 25
January 2020 11
February 2020 18
March 2020 37
April 2020 13
May 2020 11
June 2020 16
July 2020 25
August 2020 69
September 2020 91
October 2020 125
November 2020 101
December 2020 91
January 2021 82
February 2021 72
March 2021 96
April 2021 131
May 2021 123
June 2021 90
July 2021 95
August 2021 54
September 2021 63
October 2021 48
November 2021 57
December 2021 44
January 2022 36
February 2022 45
March 2022 60
April 2022 65
May 2022 54
June 2022 50
July 2022 37
August 2022 43
September 2022 48
October 2022 55
November 2022 43
December 2022 51
January 2023 47
February 2023 53
March 2023 37
April 2023 44
May 2023 46
June 2023 29
July 2023 25
August 2023 19
September 2023 33
October 2023 26
November 2023 62
December 2023 39
January 2024 39
February 2024 41
March 2024 51
April 2024 42
May 2024 48
June 2024 41
July 2024 23
August 2024 29
September 2024 29
October 2024 9

Citations

471 Web of Science

×

Email alerts

Citing articles via

More from Oxford Academic

Advertisement intended for healthcare professionals