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Record W3134273183 · doi:10.1177/1534735421999101

Integrative Oncology Consultations Delivered via Telehealth in 2020 and In-Person in 2019: Paradigm Shift During the COVID-19 World Pandemic

2021· article· en· W3134273183 on OpenAlex

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

VenueIntegrative Cancer Therapies · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
FundersNIH Clinical CenterNational Cancer InstituteDuncan Family Institute for Cancer Prevention and Risk Assessment
KeywordsTelehealthMedicineTelemedicineCohortPandemicQuality of life (healthcare)Family medicineModalitiesHealth careCoronavirus disease 2019 (COVID-19)Physical therapyInternal medicineDiseaseNursing

Abstract

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Background: The COVID-19 pandemic has catalyzed the use of mobile technologies to deliver health care. This new medical model has benefited integrative oncology (IO) consultations, where cancer patients are counseled about healthy lifestyle, non-pharmacological approaches for symptom management, and addressing questions around natural products and other integrative modalities. Here we report the feasibility of conducting IO physician consultations via telehealth in 2020 and compare patient characteristics to prior in-person consultations conducted in 2019. Methods: An integrated EHR-telemedicine platform was used for IO physician consultations. As in the prior in-person visits, patients completed pre-visit patient-reported outcome (PRO) assessments about common cancer symptoms [modified Edmonton Symptom Assessment Scale, (ESAS)], Measure Yourself Concerns and Wellbeing (MYCaW), and the PROMIS-10 to assess quality of life (QOL). Patient demographics, clinical characteristics, and PROs for new telehealth consultation in 2020 were compared to new in-person consultations in 2019 using t-tests, chi-squared tests, and -Wilcoxon rank-sum test. Results: We provided telehealth IO consultations to 509 new patients from April 21, 2020, to October 21, 2020, versus 842 new patients in-person during the same period in 2019. Most were female (77 % vs 73%); median age (56 vs 58), and the most frequent cancer type was breast (48% vs 39%). More patients were seeking counseling on herbs and supplements (12.9 vs 6.8%) and lifestyle (diet 22.7 vs 16.9% and exercise 5.2 vs 1.8%) in the 2020 cohort than 2019, respectively. The 2020 telehealth cohort had lower symptom management concerns compared to the 2019 in-person cohort (19.5 vs 33.1%). Conclusions: Delivering IO consultations using telehealth is feasible and meets patients’ needs. Compared to patients seen in-person during 2019, patients having telehealth IO consultations in 2020 reported lower symptom burden and more concerns about lifestyle and herbs and supplements. Additional research is warranted to explore the satisfaction and challenges among patients receiving telehealth IO care.

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 score0.838
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

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

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 head0.032
GPT teacher head0.353
Teacher spread0.321 · 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