Effect of Physician Perspective on Allocation of Medicare Resources for Patients with Advanced Cancer

Rocke, Daniel J.; Beumer, Halton W.; Thomas, Steven; Lee, Walter T.

doi:10.1177/0194599814520689

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…At the same time, with the increase in the therapy costs of cancer, issues related to medical resource allocation and medical insurance decisions have become global concerns [ 27 , 28 ]. The constructed classification system can help medical officials in the metastatic cancer management and in the distribution of medical resources for stage IV cancer patients.…”

Section: Discussionmentioning

confidence: 99%

Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system

Zhang

et al. 2020

Aging

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We aimed to perform a pan-metastatic cancer analysis on survival and prognostic factors and to create a prognosis-based classification system. We selected distant metastasis patients from the Surveillance, Epidemiology, and End Results (SEER) database. The associations between the characteristics of the patients at admission and overall survival were determined. A prognosis-based metastatic cancer classification was established based on the identified prognostic factors. The differences in prognosis among these categories were tested. The survival rate and prognostic factors were not consistent across cancers. Three metastatic cancer categories were generated, each with different prognoses. The prognostic differences among the categories were satisfactorily validated. Different metastatic cancer types had homogeneous and heterogeneous survival rates and prognostic factors. A prognosis-based classification system for synchronous distant metastasis cancer patients at admission was created. This classification system reflects the grade of malignancy in metastatic cancers and may guide the prediction of survival and individualized treatment. Moreover, it may have important implications for the management of synchronous metastatic cancers and aid clinicians in properly allocating medical resources to metastatic patients.

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Section: Discussionmentioning

confidence: 99%

Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system

Zhang

et al. 2020

Aging

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“…Patients could probably benefit more from preventive treatment, ( 22 ), and their families could enjoy more accurate treatment expectations and avoid doctor–patient conflicts. Similarly, medical resource distribution and medical insurance choices have become a global concern, ( 23 ), and in this context, this LM classification system could help clinicians better manage and distribute medical resources for these cancer patients since medical resource distribution varies for cancers with different risks. For example, clinicians could shorten the interval of monitor, which could help in early diagnosis of LM for these patients and in carrying out preventive treatment for these high-risk group patients.…”

Section: Discussionmentioning

confidence: 99%

Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system

Yang

et al. 2022

Front. Surg.

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This study first presents an analysis of the prevalence and associated factors of the lung metastasis (LM) database and then uses this analysis to construct an LM classification system. Using cancer patient data gathered from the surveillance, epidemiology, and end results (SEER) database, this study shows that the prevalence of LM is not consistent among different cancers; that is, the prevalence of LM ranges from 0.0013 [brain; 95% confidence interval (95% CI); 0.0010–0.0018] to 0.234 (“other digestive organs”; 95% CI; 0.221–0.249). This study finds that advanced age, poor grade, higher tumor or node stage, and metastases including bone, brain, and liver are positively related to LM occurrence, while female gender, income, marital status, and insured status are negatively related. Then, this study generates four categories from 58 cancer types based on prevalence and influence factors and satisfactorily validates these. This classification system reflects the LM risk of different cancers. It can guide individualized treatment and the management of these synchronous metastatic cancer patients and help clinicians better distribute medical resources.

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“…For example, physicians recommend different treatments to patients than they would select to treat themselves, and recommend different patient treatment plans to other physicians than they would select if they made the final treatment decision themselves (Ubel, Angott, and Zikmund‐Fischer [], Rocke et al. []). Similarly, Jaskiewicz and Luchak [] rely on regulatory focus to reason that a CEO leading a family firm is more focused on preventing losses or damage to the family's financial interests if he or she is a member of the family, rather than an outsider.…”

Section: Theory and Hypothesis Developmentmentioning

confidence: 99%

If You Want My Advice: Status Motives and Audit Consultations About Accounting Estimates

Knechel

Leiby²

2016

Journal of Accounting Research

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Effective consultation is critical for improving the audit of estimates. In an experiment where audit managers acted as consultants to other auditors, we examine conditions in which consultants either recommend estimates that differ substantially from advice‐seekers’ assessments (contrariness) or recommend narrower reasonable ranges of estimates (precision). Psychology theory argues that both of these attributes can improve estimates. We examine whether these attributes depend on consultants' status motives, that is, the desire to gain respect from or power over others. We find that active status motives lead consultants with higher specialized knowledge to provide recommendations that are less contrary, but more precise. However, consultants increase precision by tightening range bounds in a manner that is not counter to management's preference and thus unlikely to prompt the audit team to challenge the estimate. We also find that higher consultant decision authority constrains precision. Our findings suggest limits to consultation's potential effectiveness in improving estimates. For instance, our findings suggest that firms and standard setters direct consultants to focus scrutiny on the range bound that is most likely to constrain management opportunism.

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Effect of Physician Perspective on Allocation of Medicare Resources for Patients with Advanced Cancer

Cited by 5 publications

References 31 publications

Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system

Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system

Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system

If You Want My Advice: Status Motives and Audit Consultations About Accounting Estimates

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