Factors Influencing Physician Prognosis: A Scoping Review

被引:7
|
作者
Ferrand, Amaryllis [1 ,2 ,3 ]
Poleksic, Jelena [1 ,4 ]
Racine, Eric [1 ,5 ,6 ,7 ]
机构
[1] Montreal Clin Res Inst, Pragmat Hlth Eth Res Unit, 10 Pine Ave West, Montreal, PQ H2W 1R7, Canada
[2] Univ Montreal, Fac Med, Dept Biomed Sci, Montreal, PQ, Canada
[3] McGill Univ, Jewish Gen Hosp, Dept Pediat, Div Neonatal Perinatal Med, Montreal, PQ, Canada
[4] Univ Western Ontario, Fac Med, London, ON, Canada
[5] Univ Montreal, Dept Med & Social, Montreal, PQ, Canada
[6] Univ Montreal, Dept Prevent Med, Montreal, PQ, Canada
[7] McGill Univ, Biomed Eth Unit, Montreal, PQ, Canada
关键词
prognosis; bias; physician; ethics; attitudes; INTENSIVE-CARE-UNIT; ILL CANCER-PATIENTS; DECISION-MAKING; RADIATION ONCOLOGISTS; SURVIVAL PREDICTION; DIAGNOSTIC ERROR; CRITICAL ILLNESS; PERCEPTIONS; ATTITUDES; LIFE;
D O I
10.1177/23814683221145158
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Introduction. Prognosis is an essential component of informed consent for medical decision making. Research shows that physicians display discrepancies in their prognostication, leading to variable, inaccurate, optimistic, or pessimistic prognosis. Factors driving these discrepancies and the supporting evidence have not been reviewed systematically. Methods. We undertook a scoping review to explore the literature on the factors leading to discrepancies in medical prognosis. We searched Medline (Ovid) and Embase (Ovid) databases for peer-reviewed articles from 1970 to 2017. We included articles that discussed prognosis variation or discrepancy and where factors influencing prognosis were evaluated. We extracted data outlining the participants, methodology, and prognosis discrepancy information and measured factors influencing prognosis. Results. Of 4,723 articles, 73 were included in the final analysis. There was significant variability in research methodologies. Most articles showed that physicians were pessimistic regarding patient outcomes, particularly in early trainees and acute care specialties. Accuracy rates were similar across all time periods. Factors influencing prognosis were clustered in 4 categories: patient-related factors (such as age, gender, race, diagnosis), physician-related factors (such as age, race, gender, specialty, training and experience, attitudes and values), clinical situation-related factors (such as physician-patient relationship, patient location, and clinical context), and environmental-related factors (such as country or hospital size). Discussion. Obtaining accurate prognostic information is one of the highest priorities for seriously ill patients. The literature shows trends toward pessimism, especially in early trainees and acute care specialties. While some factors may prove difficult to change, the physician's personality and psychology influence prognosis accuracy and could be tackled using debiasing strategies. Exposure to long-term patient outcomes and a multidisciplinary practice setting are environmental debiasing strategies that may warrant further research.
引用
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页数:16
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