Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 399

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Methods in health services research: Interpreting the evidence: choosing between randomised and non-randomised studies

Open access
McKee, M., Britton, A., Black, N., McPherson, K., Sanderson, C., Bain, C.·1999·BMJ

Abstract

This is the first of four articles Evaluations of healthcare interventions can either randomise subjects to comparison groups, or not. In both designs there are potential threats to validity, which can be external (the extent to which they are generalisable to all potential recipients) or internal (whether differences in observed effects can be attributed to differences in the intervention). Randomisation should ensure that comparison groups of sufficient size differ only in their exposure to the intervention concerned. However, some investigators have argued that randomised controlled trials (RCTs) tend to exclude, consciously or otherwise, some types of patient to whom results will subsequently be applied Furthermore, in unblinded trials the outcome of treatment may be influenced by practitioners' and patients' preferences for one or other intervention. Though non-randomised studies are less selective in terms of recruitment, they are subject to selection bias in allocation if treatment is related to initial prognosis. #### Summary points Treatment effects obtained from randomised and non-randomised studies may differ, but one method does not give a consistently greater effect than the other Treatment effects measured in each type of study best approximate when the exclusion criteria are the same and where potential prognostic factors are well understood and controlled for in the non-randomised studies Subjects excluded from randomised controlled trials tend to have a worse prognosis than those included, and this limits generalisability Subjects participating in randomised controlled trials evaluating treatment of existing conditions tend to be less affluent, educated, and healthy than those who do not; the opposite is true for trials of preventive interventions View this table: Threats to validity of evaluative research and possible solutions These issues have led to extensive debate, although empirical evidence is limited. This paper is a brief summary of a more detailed review1 of the impact of these potential threats. The review focused …

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bmj.319.7205.312

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 399

Metadata

Authors
McKee, M., Britton, A., Black, N., McPherson, K., Sanderson, C., & Bain, C.
Venue
BMJ
Publisher
BMJ
Published
1999-07-31
Volume
319
Issue
7205
Pages
312-315
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
OpenAlex
W2045398130
Cited by
399
References
3
FWCI
21.62
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Methods in health services research: Interpreting the evidence: choosing between randomised and non-randomised studies. https://app.cochat.ai/papers/10.1136/bmj.319.7205.312
The paper
McKee, M., Britton, A., Black, N., McPherson, K., Sanderson, C., & Bain, C. (1999). Methods in health services research: Interpreting the evidence: choosing between randomised and non-randomised studies. BMJ. https://doi.org/10.1136/bmj.319.7205.312

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.