Perception of prognosis of cancer patients by non-oncologists

Goldvaser, Hadar; Milman, Yonatan; Dujovni, Tal; Stern, Anat; Mahamid, Muhamad; Hanovich, Ekaterina; Zivony, Amir; Shochat, Tzippy; Yerushalmi, Rinat; Gafter‐Gvili, Anat; Brenner, Baruch; Shepshelovich, Daniel

doi:10.1111/ijcp.12909

Cited by 10 publications

(10 citation statements)

References 16 publications

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“…These findings were reproduced in a subsequent study in which the physician’s prognosis discrepancy increased toward more pessimistic predictions when patients had a diagnosis for illnesses other than cancer such as AIDS, chronic heart failure, or stroke. 55 Likewise, a third study 62 showed that a higher proportion of physicians had pessimistic perceptions of prognosis for malignancies with high cure rates sparking from long-standing achievements of medical research, compared with malignancies with similar cure rates but whose data were derived from more recent research advancements. Furthermore, physicians gave more optimist prognostic estimates for patients with chronic myelogenic leukemia than for patients with acute leukemia and non-Hodgkin lymphomas.…”

Section: Resultsmentioning

confidence: 99%

Factors Influencing Physician Prognosis: A Scoping Review

Ferrand

Poleksic

Racine

2022

MDM Policy & Practice

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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. Highlights Literature on discrepancies in physician’s prognostication is heterogeneous and sparse. Literature shows that physicians are mostly pessimistic regarding patient outcomes. Literature shows that a physician’s personality and psychology influence prognostic accuracy and could be improved with evidence-based debiasing strategies. Medical specialty strongly influences prognosis, with specialties exposed to acutely ill patients being more pessimistic, whereas specialties following patients longitudinally being more optimistic. Physicians early in their training were more pessimist than more experienced physicians.

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Section: Resultsmentioning

confidence: 99%

Factors Influencing Physician Prognosis: A Scoping Review

Ferrand

Poleksic

Racine

2022

MDM Policy & Practice

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“…As a bibliometric experiment, I made a list of all EC articles from 2016 to 2017, excluding editorials, and examined the number of downloads from the journal's website ascertained by Wiley as of 22 August 2018 (Table ). For the articles published in 2016 and 2017, I also compiled a list of the top 10 downloaded articles from the journal (Table ).…”

Section: Articles From the International Journal Of Clinical Practicementioning

confidence: 94%

Are articles labelled as “Editor's Choice” downloaded more?

Citrome

2018

Int J Clin Pract

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“…Cancer stigma is caused by the ability of cancer cells to metastasize and replicate without control and the side effects of therapy which significantly affect physical function disorders. The health team is also pessimistic about the prognosis of cancer, especially if the patient is found at an end-stage [2]. Other people's opinions of cancer can affect the patient's self-concept dimensions.…”

Section: Introductionmentioning

confidence: 99%

Self-Concept Influences the Hopes and Psychological Well- Being of Cancer Survivors in Surabaya, Indonesia: A Cross- Sectional Study

Werdani

2020

Indonesian Journal of Cancer

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Background: The stigma of cancer as a deadly disease greatly affects the patient’s perspective in shaping self-concept, which impacts on hopes and influences the stability of psychological well-being. The purpose of this study was to prove that the self-concept influences the hopes and psychological well-being of cancer survivors. Methods: This was a cross-sectional study. Samples were 90 cancer survivors from three public health centers in Surabaya, Indonesia taken by simple random sampling. All participants completed the instruments of the Tennessee Self-Concept Scale, Herth Hope Index, and Ryff’s Psychological Well-Being Scale. All the instruments were valid and reliable based on the test. Ethical feasibility has been conducted. The Pearson Product-Moment Correlation Test was applied to analyze the data with P < .05. Results: The demographic characteristics of cancer survivors include the age majority of 46-65 years (53%), female sex (80%), married (61%), having stage-III cancer (44%), diagnosed of cancer for 1–6 years (56%), having support system from nuclear families (73%), and actively involved in the community (66%). The mean score of self-concept is 78.2, hope 38.2, and psychological well- being 76.3. Self-concept had a significant effect on hope (r = .783, P = .000) and psychological well-being (r = .611, P = .000) Conclusions: Cancer survivors who had positive self-concepts are more likely to accept themselves, which triggers the formation of high hope for recovery and the achievement of positive psychological well-being.

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Perception of prognosis of cancer patients by non-oncologists

Cited by 10 publications

References 16 publications

Factors Influencing Physician Prognosis: A Scoping Review

Factors Influencing Physician Prognosis: A Scoping Review

Are articles labelled as “Editor's Choice” downloaded more?

Self-Concept Influences the Hopes and Psychological Well- Being of Cancer Survivors in Surabaya, Indonesia: A Cross- Sectional Study

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