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Record W1971358119 · doi:10.1200/jop.091073

Seeking Serenity With Influence

2010· article· en· W1971358119 on OpenAlexaboutno aff
John V. Cox

Bibliographic record

VenueJournal of Oncology Practice · 2010
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMEDLINEWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

The serenity prayer has long been recognized for the impossible wisdom it provides: “Grant me the serenity to accept the things I cannot change; courage to change the things I can; and wisdom to know the difference.” Business has captured this wisdom in defining spheres of control—recognize what issues you completely control versus those that you impact because of your influence versus a third group that you cannot control or influence. The truism of being effective is to enlarge the sphere of influence and to let go of issues outside of this sphere. Often physicians focus on the outside issues that they have no control over, leading to frustration and a sense of futility. All of medicine is multidisciplinary, though oncology is the most demanding—requiring multiple voices to effectively manage patients. There are few decisions or areas of patient care or practice where oncologists are soul controllers. In most areas we are simply influencers, but that term does not capture the depth of our profession's interactions. This month, Neuss emphasizes in his column that oncology is a collaborative, a team sport. The most effective physicians and practices are ones that embrace collaborativeness. In this issue of Journal of Oncology Practice, a series of papers outlines the critical need and roles that our colleagues—nonphysician providers (NPPs)—are playing in oncology. Researchers from the Institute of Medicine outline the challenges of workforce (Levit et al). Britell presents the results of a project funded in part by an ASCO state affiliate grant to determine what roles NPPs are playing in Washington state. Polansky et al discuss the roles of physician assistants, and Nevidjon et al outline the contributions of advanced practice nursing. Collaboration is a key attribute of our profession if we are to provide access to quality oncology care for our patients. Some have seen the growing influence of NPPs on care as a threat to the control of the physician. Others emphasize collaborative models of multidisciplinary care and point to the improvement in patient satisfaction and perception of caring when these providers are well integrated in our clinics. However, challenges abound. NPPs are not uniformly trained. There are no educational standards that a specialty practice can use to judge the preparedness of an individual to step into the care of patients and assist. There is variability on how well practices integrate NPPs. There are few best practices to follow. Added to these practical challenges are the regulatory and legal tensions as our professions grapple with their respective spheres of control, as physicians and NPPs wish to have a say in how educational standards and scope of practice is defined. But in the end, workforce, the complexity of our science, and the demands of practice will drive us together into collaborative practice. We must embrace the journey together to make this work for the betterment of our patients. Workforce issues and the increasing numbers of survivors in oncology practices also press us to understand how to collaborate with primary care. Emphasizing the complexities of the care delivery team, Brazil et al point out the challenges of integrating the primary care physician in the mix. Their Canadian perspective can teach those of us in the United States. Legant offers a commentary on their manuscript. The Institute of Medicine has highlighted the need for psychological support for oncology patients. Hendrick et al present a model to integrate psychosocial support into oncologic care. In this issue, the reader will be challenged by Neubauer et al. In what is believed to be the first presentation of data to demonstrate proof of principle, the authors outline the impact a rigorous, prospective pathway program can have on adherence to evidence-based therapy, and on limitations of futile care. Such programs have been developed in several settings (both academic and community), but attempts to codify benefits have been lacking. In an era of emphasis on comparative effectiveness, such programs are going to gain importance. Continuing contributions to JOP include ongoing series on exemplary attributes of effective research practices, challenging ethics vignettes, and practical tips (this month highlighting the challenges of recent rules on infusion pumps). Such is the diverse, yet hopefully helpful, content in JOP. Good reading, and please forward comments or challenges to me at gro.ocsa@ksedsrotidepoj.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.514
Teacher spread0.483 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2010
Admission routes1
Has abstractyes

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