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. 2000 May;172(5):310-3.
doi: 10.1136/ewjm.172.5.310.

Extent and determinants of error in physicians' prognoses in terminally ill patients: prospective cohort study

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Extent and determinants of error in physicians' prognoses in terminally ill patients: prospective cohort study

N A Christakis et al. West J Med. 2000 May.

Abstract

Objectives To describe physicians' prognostic accuracy in terminally ill patients and to evaluate the determinants of that accuracy. Design Prospective cohort study. Setting Five outpatient hospice programs in Chicago. Participants A total of 343 physicians provided survival estimates for 468 terminally ill patients at the time of hospice referral. Main outcome measures Patients' estimated and actual survival. Results Median survival was 24 days. Of 468 predictions, only 92 (20%) were accurate (within 33% of actual survival); 295 (63%) were overoptimistic, and 81 (17%) were overpessimistic. Overall, physicians overestimated survival by a factor of 5.3. Few patient or physician characteristics were associated with prognostic accuracy. Male patients were 58% less likely to have overpessimistic predictions. Medical specialists excluding oncologists were 326% more likely than general internists to make overpessimistic predictions. Physicians in the upper quartile of practice experience were the most accurate. As the duration of the doctor-patient relationship increased and time since last contact decreased, prognostic accuracy decreased. Conclusions Physicians are inaccurate in their prognoses for terminally ill patients, and the error is systematically optimistic. The inaccuracy is, in general, not restricted to certain kinds of physicians or patients. These phenomena may be adversely affecting the quality of care given to patients near the end of life.

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Figures

Figure 1
Figure 1
Predicted vs observed survival in 468 terminally ill hospice patients. Diagonal line represents perfect prediction. Circles above diagonal line represent patients in whom survival was overestimated; those below line are patients in whom survival was underestimated.

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