The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Evaluating policy and service interventions: framework to guide selection and interpretation of study end points
Abstract
The effect of many cost effective policy and service interventions cannot be detected at the level of the patient. This new framework could help improve the design (especially choice of primary end point) and interpretation of evaluative studies
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Indeed, choice of appropriate methods for such evaluations remains a contested issue [29,30].”
Citations
Cites
Developing and evaluating complex interventions: the new Medical Research Council guidance
Craig, P., Dieppe, P., Macintyre, S., Michie, S., Nazareth, I., & Petticrew, M. (2008) · BMJ · doi:10.1136/bmj.a1655 · Cited by 10,995
Incidence of Adverse Events and Negligence in Hospitalized Patients
Brennan, T. A., Leape, L. L., Laird, N. M., Hebert, L. E., Localio, A. R., Lawthers, A. G., Newhouse, J. P., Weiler, P. C., & Hiatt, H. H. (1991) · New England Journal of Medicine · doi:10.1056/nejm199102073240604 · Cited by 4,631
An Intervention to Decrease Catheter-Related Bloodstream Infections in the ICU
Pronovost, P., Needham, D., Berenholtz, S., Sinopoli, D., Chu, H., Cosgrove, S., Sexton, B., Hyzy, R., Welsh, R., Roth, G., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa061115 · Cited by 4,387
Effect of Reducing Interns' Work Hours on Serious Medical Errors in Intensive Care Units
Landrigan, C. P., Rothschild, J. M., Cronin, J. W., Kaushal, R., Burdick, E., Katz, J. T., Lilly, C. M., Stone, P. H., Lockley, S. W., Bates, D. W., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041406 · Cited by 1,760 · cited 1×
“However, as the signal (change in outcome due to intervention) diminishes in relation to the noise (changes in outcome due to uncontrolled sources of variation), a study based on process measurement will become more cost effective. Such was the case in Landrigan’s study of the effects of fatigue on the quality of care…”
BackgroundA look into the nature and causes of human errors in the intensive care unit
Donchin, Y., Gopher, D., Olin, M., Badihi, Y., Bieski, M., Sprung, C. L., Pizov, R., & Cotev, S. (1995) · Critical Care Medicine · doi:10.1097/00003246-199502000-00015 · Cited by 838
Sazawal, S., & Black, R. (2003) · Lancet. Infectious Diseases (Print) · doi:10.1016/s1473-3099(03)00737-0 · Cited by 485
Publication Bias: The Problem That Won't Go Away
DICKERSIN, K., & MIN, Y. (1993) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1993.tb26343.x · Cited by 427
Campbell, M. K., Fayers, P. M., & Grimshaw, J. M. (2005) · Clinical Trials · doi:10.1191/1740774505cn071oa · Cited by 275
Ethical issues in the design and conduct of cluster randomised controlled trials
Edwards, S., Braunholtz, D., Lilford, R. J., & Stevens, A. J. (1999) · BMJ · doi:10.1136/bmj.318.7195.1407 · Cited by 256
Self-citationMethods to reduce the impact of intraclass correlation in group-randomized trials.
Murray, D. M., & Blitstein, J. L. (2003) · Evaluation Review · doi:10.1177/0193841x02239019 · Cited by 221
Cited by
Sorted by citations
Improving the health and welfare of people who live in slums
Lilford, R. J., Oyebode, O., Satterthwaite, D., Melendez-Torres, G. J., Chen, Y.-F., Mberu, B., Watson, S. I., Sartori, J., Ndugwa, R., Caiaffa, W., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)31848-7 · Cited by 305
Self-citationBenning, A., Ghaleb, M. A., Suokas, A. K., Dixon‐Woods, M., Dawson, J., Barber, N., Franklin, B. D., Girling, A. J., Hemming, K., Carmalt, M., et al. (2011) · BMJ · doi:10.1136/bmj.d195 · Cited by 233
Self-citationEvaluating the impact of prediction models: lessons learned, challenges, and recommendations
Kappen, T. H., van Klei, W. A., van Wolfswinkel, L., Kalkman, C. J., Vergouwe, Y., & Moons, K. G. M. (2018) · Diagnostic and Prognostic Research · doi:10.1186/s41512-018-0033-6 · Cited by 215
“Accordingly, preceding decision analytic studies help in separating the chaff from the wheat [45].”
BackgroundRaine, R., Fitzpatrick, R. M., Barratt, H., Bevan, G., Black, N. A., Boaden, R., Bower, P., Campbell, M., Denis, J., Devers, K. J., et al. (2016) · Health Services and Delivery Research · doi:10.3310/hsdr04160 · Cited by 197
Self-citationBaines, R. J., Langelaan, M., de Bruijne, M. C., Asscheman, H., Spreeuwenberg, P. M. M., van de Steeg, L., Siemerink, K. M., van Rosse, F., Broekens, M. A., & Wagner, C. (2013) · BMJ Quality & Safety · doi:10.1136/bmjqs-2012-001126 · Cited by 177
Metadata
- Authors
- Lilford, R. J., Chilton, P. J., Hemming, K., Girling, A. J., Taylor, C. A., & Barach, P.
- Affiliations
- University of Birmingham (GB)
- University Medical Center Utrecht (NL)
- Corresponding author
- Lilford, R. J.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2010-08-27
- Volume
- 341
- Issue
- aug27 1
- Pages
- c4413-c4413
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W1996547462
- Cited by
- 146
- References
- 31
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 5 · 2023: 5 · 2022: 6 · 2021: 17 · 2020: 11 · 2019: 4 · 2018: 19 · 2017: 19 · 2016: 10 · 2015: 10 · 2014: 8 · 2013: 4 · 2012: 13
- FWCI
- 19.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- BMJ (publishedVersion)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (GR/S29874/01, EP/F063822/1)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Social Sciences › Public Administration › Evaluation and Performance Assessment
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Keywords
- health policy evaluation, health service interventions, evaluation framework, cost-effectiveness
- MeSH terms
- Bayes Theorem, Cost-Benefit Analysis, Health Policy, Program Evaluation, Biomarkers, Organizational Policy, Outcome Assessment, Health Care, Process Assessment, Health Care, Publication Bias
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