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The Journal of bone and joint surgery. American volume

October 1, 2026 · via Europe PMC

Denying and Delaying Indicated Care: The True Cost.

Lee MY, Mazmudar AS, Rajput R, Kurup S, Yettapu D, Park DK, Singh K.

Journal ArticleAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

This commentary argues that denying or delaying indicated surgery shifts costs rather than saving them.

What was studied

An opinion piece on the effects of prior authorization denials and delays.

Key findings

  • Delays prolong conservative care, lost work and psychological toll
  • Administrative burden accompanies prior authorization
  • Savings are not guaranteed

Clinical relevance

Care delays can worsen patient outcomes.

Who should care

OrthopaedicsGeneral Surgery

Limitations

An opinion piece with no data.

Document the clinical rationale for surgery carefully when facing authorization barriers.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Cost in health care is not simply the dollar amount of a transaction. When a claim for indicated surgery is denied or delayed, savings are not guaranteed and patient outcomes likely worsen. Delays resulting from prior authorization create an administrative burden, and patients bear the burden of prolonged conservative care, lost workforce participation, and added psychological toll. Delaying or denying indicated surgery does not reduce cost; it simply redistributes it.

DOI

10.2106/jbjs.26.01049

PMID

42821647

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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