The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Defensive Medicine Among High-Risk Specialist Physicians in a Volatile Malpractice Environment
Abstract
CONTEXT: How often physicians alter their clinical behavior because of the threat of malpractice liability, termed defensive medicine, and the consequences of those changes, are central questions in the ongoing medical malpractice reform debate. OBJECTIVE: To study the prevalence and characteristics of defensive medicine among physicians practicing in high-liability specialties during a period of substantial instability in the malpractice environment. DESIGN, SETTING, AND PARTICIPANTS: Mail survey of physicians in 6 specialties at high risk of litigation (emergency medicine, general surgery, orthopedic surgery, neurosurgery, obstetrics/gynecology, and radiology) in Pennsylvania in May 2003. MAIN OUTCOME MEASURES: Number of physicians in each specialty reporting defensive medicine or changes in scope of practice and characteristics of defensive medicine (assurance and avoidance behavior). RESULTS: A total of 824 physicians (65%) completed the survey. Nearly all (93%) reported practicing defensive medicine. "Assurance behavior" such as ordering tests, performing diagnostic procedures, and referring patients for consultation, was very common (92%). Among practitioners of defensive medicine who detailed their most recent defensive act, 43% reported using imaging technology in clinically unnecessary circumstances. Avoidance of procedures and patients that were perceived to elevate the probability of litigation was also widespread. Forty-two percent of respondents reported that they had taken steps to restrict their practice in the previous 3 years, including eliminating procedures prone to complications, such as trauma surgery, and avoiding patients who had complex medical problems or were perceived as litigious. Defensive practice correlated strongly with respondents' lack of confidence in their liability insurance and perceived burden of insurance premiums. CONCLUSION: Defensive medicine is highly prevalent among physicians in Pennsylvania who pay the most for liability insurance, with potentially serious implications for cost, access, and both technical and interpersonal quality of care.
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.
Integrity signals
Registry
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.
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
Cites
Defensive practice among psychiatrists: a questionnaire survey
Passmore, K., & Leung, W.-C. (2002) · Postgraduate Medical Journal · doi:10.1136/pmj.78.925.671 · Cited by 66
Cited by
Malpractice Risk According to Physician Specialty
Jena, A. B., Seabury, S., Lakdawalla, D., & Chandra, A. (2011) · New England Journal of Medicine · doi:10.1056/nejmsa1012370 · Cited by 1,180
Overconfidence as a Cause of Diagnostic Error in Medicine
Berner, E. S., & Graber, M. L. (2008) · The American Journal of Medicine · doi:10.1016/j.amjmed.2008.01.001 · Cited by 1,034
Smith-Bindman, R., Miglioretti, D. L., Johnson, E., Lee, C., Feigelson, H. S., Flynn, M., Greenlee, R. T., Kruger, R. L., Hornbrook, M. C., Roblin, D., et al. (2012) · JAMA · doi:10.1001/jama.2012.5960 · Cited by 898
Claims, Errors, and Compensation Payments in Medical Malpractice Litigation
Studdert, D. M., Mello, M. M., Gawande, A. A., Gandhi, T. K., Kachalia, A., Yoon, C., Puopolo, A. L., & Brennan, T. A. (2006) · New England Journal of Medicine · doi:10.1056/nejmsa054479 · Cited by 848
Self-citationDelivering affordable cancer care in high-income countries
Sullivan, R., Peppercorn, J., Sikora, K., Zalcberg, J., Meropol, N. J., Amir, E., Khayat, D., Boyle, P., Autier, P., Tannock, I. F., et al. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70141-3 · Cited by 718
Metadata
- Authors
- Studdert, D. M.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2005-06-01
- Volume
- 293
- Issue
- 21
- Pages
- 2609
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W1967550470
- Cited by
- 1,266
- References
- 1
- FWCI
- 118.65
- 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: Defensive Medicine Among High-Risk Specialist Physicians in a Volatile Malpractice Environment. https://app.cochat.ai/papers/10.1001/jama.293.21.2609
- The paper
- Studdert, D. M. (2005). Defensive Medicine Among High-Risk Specialist Physicians in a Volatile Malpractice Environment. JAMA. https://doi.org/10.1001/jama.293.21.2609
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.