Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,037

The DOI matches its OpenAlex record.

Recommendations for reporting cost-effectiveness analyses. Panel on Cost-Effectiveness in Health and Medicine

J. E. Siegel·1996·JAMA

Abstract

OBJECTIVE: This article, the third in a 3-part series, describes recommendations for the reporting of cost-effective analyses (CEAs) intended to improve the quality and accessibility of CEA reports. PARTICIPANTS: The Panel on Cost-Effectiveness in Health and Medicine, a nonfederal panel with expertise in CEA, clinical medicine, ethics, and health outcomes measurement, convened by the US Public Health Service. EVIDENCE: The panel reviewed the theoretical foundations of CEA, current practices, alternative methods, published critiques of CEAs, and criticisms of general CEA methods and reporting practices. CONSENSUS PROCESS: The panel developed recommendations through 2 1/2 years of discussions. Comments on preliminary drafts were solicited from federal government methodologists, health agency officials, and academic methodologists. CONCLUSIONS: These recommendations are proposed to enhance the transparency of study methods, assist analysts in providing complete information, and facilitate the presentation of comparable cost-effectiveness results across studies. Adherence to reporting conventions and attention to providing information required to understand and interpret study results will improve the relevance and accessibility of CEAs.

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

OpenAlex · 10.1001/jama.276.16.1339

Cites

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 1,037

Metadata

Authors
Siegel, J. E.
Venue
JAMA
Published
1996-10-23
Volume
276
Issue
16
Pages
1339
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2067316800
Cited by
1,037
References
0
FWCI
92.61
Type
journal article
Language
en
Open access
closed

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: Recommendations for reporting cost-effectiveness analyses. Panel on Cost-Effectiveness in Health and Medicine. https://app.cochat.ai/papers/10.1001/jama.276.16.1339
The paper
Siegel, J. E. (1996). Recommendations for reporting cost-effectiveness analyses. Panel on Cost-Effectiveness in Health and Medicine. JAMA. https://doi.org/10.1001/jama.276.16.1339

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.