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Record W3213162785 · doi:10.1182/blood-2021-149788

Virtual Care during the COVID-19 Pandemic Among Patients with Hematologic Malignancies - a Princess Margaret Cancer Centre Experience

2021· article· en· W3213162785 on OpenAlexaffabout
Adam Suleman, Abi Vijenthira, T. Ao Trong, Alejandro Berlín, Anca Prica, Danielle Rodin

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicinePandemicPopulationCancerHematologic malignancyCoronavirus disease 2019 (COVID-19)Family medicineEmergency medicineInternal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background: The use of virtual care rapidly increased during the COVID-19 pandemic to provide adequate care for patients while minimizing contact. Studies in solid tumors show high rates of patient satisfaction with virtual care as well as cost-savings. However, little is known about the application of virtual care in malignant hematology, which includes a heterogenous population of patients often at increased risk of infection. Understanding when virtual care or a hybrid model can be used is crucial for comprehensive patient care. Methods: A retrospective review of patients with hematologic malignancies receiving care at Princess Margaret (PM) Cancer Centre in Toronto, Canada from October 2019 to March 2021 was performed. The primary objective was to describe the use of virtual care at three time points: prior to the pandemic, during the initial months of the pandemic, and beyond the initial months. Patients were included in the analysis if they had a clinical visit for their hematologic malignancy. Patients were excluded if they were presenting for treatment-related visits or blood count checks. All methods of virtual care, including phone visits and teleconferencing, were included in the analysis. Patient satisfaction with virtual care was assessed using responses to the Your Voice Matters survey administered from September 2020 to April 2021, a provincial survey of patient-reported experience. Results: A total of 93472 visits for 23162 patients were identified at PM from October 2019 to March 2021 (55% of visits for ambulatory clinic appointments). Mean age was 60 years (range 18-103 years) and 45% of patients were female (N = 23162). Ambulatory clinic appointments for new consultation or follow-up care were done in the following clinics: autologous or allogeneic bone marrow transplant (21%, N = 10 747), cellular therapy (0.2%, N = 82), leukemia (26%, N = 13419), lymphoma (32%, N = 16427) and myeloma (21%, N = 10711). From October 2019 to March 2020, there were 14512 visits, of which nearly 100% were in-person (N = 14511). From March 1 2020 to September 1 2020, there were 19179 total visits, of which 36% were virtual, with the majority of visits by phone (6325 phone visits and 567 video visits). From September 1 2020 to March 1 2021, there was a small decrease in the use of virtual care (p<0.01), but utilization of phone and video visits continued to be used for 30% of patients (N=17695 total visits; 4964 phone visits and 327 video visits). Virtual care was most often used for patients with myeloma (46%) or lymphoma (36%), as shown in Figure 1. A total of 75 survey responses for patients with hematologic malignancies followed at PM were available. 67 responses (89.3%) were from patients, with the remaining from caregivers. 47 visits (62.7%) were in-person, 26 visits (34.7%) were virtual, and 2 visits (2.7%) did not have the visit type available. Survey results are shown in Table 1.Results for in-person and virtual visits were very similar, with both groups reporting that their provider listened to their concerns and involved them in making treatment decisions. There was a trend toward providers discussing physical symptoms more for patients who had virtual visits (mean score of 4.73/5 for virtual visit compared to a mean score of 4.36/5, p=0.10). Data on next visit type preference was available for 25 patients who had a virtual visit and 46 patients who had an in-person visit. For patients who had a virtual visit, 36% preferred a repeat virtual visit with 56% having no preference and only 7.7% preferring an in-person visit. For patients who had an in-person visit, 33% preferred their next visit to be virtual, with only 24% preferring their next visit to be in-person and the remaining 43% having no preference. Conclusion: The use of virtual care increased substantially during the COVID-19 pandemic and persisted into 2021 with high rates of patient and provider satisfaction. The highest uptake of virtual care was for patients with myeloma or lymphoma. There were no significant differences in patient satisfaction scores for virtual visits compared to in-person visits, and one third of patients preferred a virtual visit after an in-person visit. These findings suggest that virtual care is a feasible and preferred tool for delivering care to a substantial proportion of patients with hematologic malignancies. Further work is needed to determine how to optimally integrate virtual care for specific patient populations. Figure 1 Figure 1. Disclosures Prica: Astra-Zeneca: Honoraria; Kite Gilead: Honoraria.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.102
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.324
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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