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Record W2894834922 · doi:10.7939/r37659v6t

Characteristics of Patients Reviewed by a Nurse Practitioner within an Outpatient Palliative Radiation Oncology Clinic

2017· article· en· W2894834922 on OpenAlex
Hope Rabel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity of Alberta Library · 2017
Typearticle
Languageen
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsRadiation oncologyMedicineOncology nursingPalliative careNursingFamily medicineRadiation therapyOncologyInternal medicineNurse education

Abstract

fetched live from OpenAlex

Cancer is a highly prevalent illness in Canada, with half of Canadians developing cancer and one quarter dying of the disease. In spite of significant advancements in cancer diagnosis and treatments, many cancers still have a poor prognosis. Palliative radiotherapy (PRT) is a common and effective therapy for painful bone metastases. Unfortunately, radiation therapy is only offered at specialized cancer centers throughout Canada, and often treatments can be unplanned, time sensitive, and patients have to travel to receive their treatments. Radiation departments are often overwhelmed with patients needing this vital service, leading to decreased quality of care, increased pain and suffering due to a lack of resources and staff to treat this population on a rapid basis. We hypothesized that the addition of a nurse practitioner (NP) to a PRT clinic would improve the functioning of the clinic by increasing efficiency and accessibility. Objectives To prospectively evaluate symptom burden including patient complexity and severity in palliative oncology patients requiring PRT assessed by an NP or radiation oncologist (RO). Methods Patients (PTS) attending the PRT clinic were randomly assessed by the NP or the RO utilizing history, examination, and validated tools (Edmonton Symptom Assessment System [ESAS], Karnofsky Performance Status [KPS], Edmonton Classification System for Cancer Pain [ECS-CP]) to determine eligibility for PRT. Patients assessed by trainees or with missing data were excluded. Data was prospectively entered into an ethics approved database. Results From January 1, 2008 to December 31, 2010, 235 patients had a consultation in the PRT clinic. The NP assessed 137 and 98 were assessed by the RO. When compared between the two providers, patient severity (ESAS, KPS) and complexity (ECS-CP, RT) were not significantly different between those assessed by NP compared to RO. Regarding the patients that received radiation, 72/98 PTS (73%) assessed by RO and 108/137 (79%) assessed by NP, when compared were also not statistically significant. The addition of the NP to this clinic allowed the clinic to complete consultations for 58% (137/235) more patients then if the RO was working alone. Conclusion Our study is the first to quantitatively describe the characteristics, symptom severity, and complexity of patient seen by an NP in a PRT clinic. Our results demonstrate that the addition of the NP to this clinic improved the efficiency and accessibility of these services. Our findings warrant replication in other settings to encourage the greater utilization of NP’s in the Canadian health care system.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.027
GPT teacher head0.321
Teacher spread0.294 · 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