Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 264

The DOI matches its Crossref record.

Does Inappropriate Use Explain Small-Area Variations in the Use of Health Care Services?

Leape, Lucian L.·1990·JAMA: The Journal of the American Medical Association

Abstract

We studied the relationship of the appropriateness of the use of coronary angiography, carotid endarterectomy, and upper gastrointestinal tract endoscopy to their rates of use in 23 adjacent counties in one state. We measured appropriateness by means of a detailed review of the medical records of Medicare beneficiaries who had the procedures performed in 1981, using present criteria derived by an expert panel. Use rates per 10,000 Medicare enrollees in a county varied from 13 to 158 for coronary angiography, 5 to 41 for carotid endarterectomy, and 42 to 164 for upper gastrointestinal tract endoscopy. Inappropriate use varied by county from 8% to 75% for coronary angiography, from 0% to 67% for carotid endarterectomy, and from 0% to 25% for endoscopy. For coronary angiography, inappropriate use accounted for 28% of the variance in the county rate. For the other two procedures, no significant correlations were found between inappropriateness of use and rate of use. We conclude that little of the variation in the rates of use of these procedures can be explained by inappropriate use.

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 · 10.1001/jama.1990.03440050063034

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 264

Metadata

Authors
Leape, L. L.
Venue
JAMA: The Journal of the American Medical Association
Published
1990-02-02
Volume
263
Issue
5
Pages
669
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W1975135768
Cited by
264
References
0
FWCI
51.92
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: Does Inappropriate Use Explain Small-Area Variations in the Use of Health Care Services? https://app.cochat.ai/papers/10.1001/jama.1990.03440050063034
The paper
Leape, L. L. (1990). Does Inappropriate Use Explain Small-Area Variations in the Use of Health Care Services? JAMA: The Journal of the American Medical Association. https://doi.org/10.1001/jama.1990.03440050063034

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.