MétaCan
Menu
Back to cohort
Record W2992951216 · doi:10.1182/blood-2019-131281

Quality of Life and Caregiver Burden in Patients and Their Caregivers Undergoing Outpatient Autologous Stem Cell Transplantation Compared to Inpatient Transplantation

2019· article· en· W2992951216 on OpenAlexaff
Vinita Dhir, L. Zibdawi, Harminder Paul, Osvaldo Espin‐Garcia, Christine I. Chen, Michael Crump, Robert Kridel, Vishal Kukreti, John Kuruvilla, Donna Reece, Rodger E. Tiedemann, Suzanne Trudel, Anca Prica

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineTransplantationQuality of life (healthcare)DistressCaregiver burdenAmbulatory careEmergency medicinePhysical therapyFamily medicineInternal medicineHealth careDiseaseNursingClinical psychology

Abstract

fetched live from OpenAlex

Introduction Outpatient autologous stem cell transplantation (ASCT) has become standard of care in many centres due to limited inpatient resources and rising financial constraints. Outpatient ASCT involves family members/friends assuming some patient care responsibilities during the acute transplant period. Although this may be associated with reduced direct medical costs, little work has been done to ascertain the "out of pocket costs" and "lost opportunity costs" to patients and their caregivers. Outpatient transplantation is perceived to provide superior quality of life (QOL) for patients, but there is little evidence to support this. In addition to patients' QOL, there is limited data on the impact of these treatments on caregivers' QOL. Thus, our objectives were to compare the QOL of patients and their caregivers undergoing outpatient and inpatient ASCT, and to quantify indirect costs to them. Methods This is a single centre cohort study of consecutive patients with lymphoma and plasma cell disorders undergoing ASCT at Princess Margaret Cancer Centre from April 2016 - July 2019. Patients without a primary caregiver were still eligible to complete the QOL portion of the study. All patients completed four questionnaires: Functional Assessment of Cancer Therapy - Bone Marrow Transplant (FACT-BMT); FACT-Fatigue (FACT-F); EQ-5D-3L; and a distress impact thermometer. Clinically meaningful differences between the groups and serially were defined as ≥ 4 points on the FACT-BMT and FACT-F, and ≥0.08 on the EQ-5D-3L. Caregivers completed three questionnaires: Caregiver Quality of Life Index-Care (C-QOLC), a distress impact thermometer, and a caregiver self-administered financial expenditure survey (C-SAFE). Indirect costs were defined as lost opportunity costs (i.e., wages) and out-of-pocket costs (e.g., parking, accommodations). Questionnaires were completed at 5 time points: D0 (prior to ASCT), D+7, D+14 (discharge from daily visits), D+28 (discharge from ASCT) and D+100 (follow-up). Results In total, 68 patients have been enrolled to date (41 outpatients and 27 inpatients), and 54 caregivers (38 outpatients and 16 inpatients). Median patient age was 57 yrs (range: 18-71), and 66% were male. Of the 68 patients, 69% had a diagnosis of multiple myeloma and 31% lymphoma. Majority of caregivers were spouses (74%). In the overall sample, FACT-F scores (fatigue) increased significantly at D+7, D+14, and D+28, with improvement at D+100 (all p<0.05 and clinically meaningful). Compared to inpatients, outpatients had higher fatigue levels at D+7 and D+14 that were statistically significant (Figure 1), with D+14 being clinically significant as well. For all patients, QOL scores by FACT-BMT declined at D+7, but then improved to above baseline values at D+100 (p<0.05) (Table 1). On the EQ-5D-3L, patients' self-reported overall best imaginable health status decreased at D+7 and D+14 relative to baseline (p<0.05); no significant difference was observed at D+28 and D+100 (Figure 1). Health utility scores were also calculated from the EQ-5D-3L. There were no significant trends in the overall sample, but when comparing the two groups, outpatients had lower measures at D+14 that were statistically and clinically relevant. With respect to caregiver QOL, in the entire sample, QOL was higher at D+100 relative to baseline (p<0.05) (Figure 2). There were no differences between the two groups. In addition, there was no statistically significant difference in lost opportunity costs (wages) between the two groups, however there was a trend towards higher lost opportunity costs in outpatient caregivers in the early ASCT process (D0, D+7, D+14). The mean overall costs (burden) for the primary caregiver in the acute first 100d phase of ASCT was C$4475. The indirect out-of-pocket costs by caregivers varied greatly, with an average of $58 at baseline (range $0-455) and $121 at D+28 (range $0-710). Conclusions There was significant deterioration of various QOL measures in all patients, irrespective of outpatient or inpatient status. Outpatients, however, reported significantly higher fatigue levels at D+7 and D+14. Caregiver QOL appears comparable between the two modalities, and appears to improve significantly by the follow-up period. The financial burden on caregivers, mostly driven by lost opportunity costs (wages), is high, with a trend towards higher burden in outpatient caregivers in the early parts of ASCT. Disclosures Chen: Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Amgen: Honoraria. Kridel:Gilead Sciences: Research Funding. Kukreti:Celgene: Honoraria; Amgen: Honoraria; Takeda: Honoraria. Kuruvilla:Celgene: Honoraria; Astra Zeneca: Honoraria; Seattle Genetics: Consultancy; Amgen: Honoraria; Roche: Consultancy; Karyopharm: Consultancy; Gilead: Consultancy; Abbvie: Consultancy; BMS: Consultancy; Roche: Research Funding; Janssen: Research Funding; Merck: Consultancy; Gilead: Honoraria; BMS: Honoraria; Karyopharm: Honoraria; Janssen: Honoraria; Roche: Honoraria; Seattle Genetics: Honoraria; Novartis: Honoraria; Merck: Honoraria. Reece:Otsuka: Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; BMS: Research Funding. Tiedemann:Amgen: Honoraria; Novartis: Honoraria; Takeda: Honoraria; Celgene: Honoraria; BMS: Honoraria; Janssen: Honoraria. Trudel:Pfizer: Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria; Janssen: Honoraria, Research Funding; Astellas: Research Funding; Genentech: Research Funding; Sanofi: Honoraria. Prica:Janssen: Honoraria; Celgene: 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 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 score0.255
Threshold uncertainty score0.771

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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.

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".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicFamily Support in IllnessFrench-language works237,207