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Cited by 675

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

The Inner Life of Physicians and Care of the Seriously Ill

Meier, Diane E.·2001·JAMA

Abstract

Seriously ill persons are emotionally vulnerable during the typically protracted course of an illness. Physicians respond to such patients' needs and emotions with emotions of their own, which may reflect a need to rescue the patient, a sense of failure and frustration when the patient's illness progresses, feelings of powerlessness against illness and its associated losses, grief, fear of becoming ill oneself, or a desire to separate from and avoid patients to escape these feelings. These emotions can affect both the quality of medical care and the physician's own sense of well-being, since unexamined emotions may also lead to physician distress, disengagement, burnout, and poor judgment. In this article, which is intended for the practicing, nonpsychiatric clinician, we describe a model for increasing physician self-awareness, which includes identifying and working with emotions that may affect patient care. Our approach is based on the standard medical model of risk factors, signs and symptoms, differential diagnosis, and intervention. Although it is normal to have feelings arising from the care of patients, physicians should take an active role in identifying and controlling those emotions.

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Metadata

Authors
Meier, D. E.
Venue
JAMA
Published
2001-12-19
Volume
286
Issue
23
Pages
3007
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2171150899
Cited by
675
References
66
FWCI
34.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Inner Life of Physicians and Care of the Seriously Ill. https://app.cochat.ai/papers/10.1001/jama.286.23.3007
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Meier, D. E. (2001). The Inner Life of Physicians and Care of the Seriously Ill. JAMA. https://doi.org/10.1001/jama.286.23.3007

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.