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Record W4310098617 · doi:10.1182/blood-2022-158520

Clinician and Patient Perspectives on Treatment Decision-Making in Multiple Myeloma: A Qualitative Survey

2022· article· en· W4310098617 on OpenAlexaboutno aff
Nina Shah, Elizabeth S. Mearns, S. Carey, Emily Mulvihill, Sheri A. McClerklin, Karen Thomson, Jennifer M. Ahlstrom, Allicia Girvan, Robert F. Cornell, Michael Nixon

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMultiple myelomaMedicineQualitative researchPomalidomideIntensive care medicineLenalidomideFamily medicineOncologyInternal medicineSociology

Abstract

fetched live from OpenAlex

Background: Multiple myeloma (MM) is an incurable malignancy associated with significant morbidity. The recent expansion of available treatment choices has increasingly complicated later-line treatment decision-making, where standard of care (SOC) is not necessarily established. However, the patient (pt) and hematologist/oncologist (HEM/ONC) priorities that underlie treatment decision-making in real-world settings for MM have not been well studied. We aimed to better understand these factors using qualitative methods. Methods: In March 2021, we conducted in-depth interviews with 12 adults with MM (11 from the US and one from Canada) and 12 HEM/ONCs in the US (seven from community settings, five from academic settings; all of whom spend ≥50% of their time in direct pt care and currently manage ≥10 pts with active MM). A commercial healthcare database was used to recruit HEM/ONCs, and a pt advocacy group, the HealthTree Foundation for Multiple Myeloma, was used to recruit pts. A trained moderator used a semi-structured interview guide to facilitate discussion of MM treatment decision-making. NVivo, a qualitative analysis software program, identified key themes emerging from the interviews. Results: HEM/ONCs had a median of 17 years (range 5-30) in practice. Pts had a median age of 64 years (range 49-70) and a median time since MM diagnosis of 6 years (range 1-8). At the time of MM diagnosis, HEM/ONCs described MM as treatable with many therapeutic options. They noted that discussions of risk status, cytogenetics, and biomarkers can be difficult for pts to understand; as these factors may not always influence early-line treatment decisions, HEM/ONCs reported simplifying or delaying such discussions, instead focusing on immediate next steps such as the treatment plan. HEM/ONCs also recommended first-line SOC comprising lenalidomide/bortezomib/dexamethasone (n=9/12), regardless of pt risk status. Similarly, pts reported that initial MM diagnosis discussions focused on the treatment they would receive (n=8/12). Discussions with their treating physician were focused predominantly on treatability (n=4/12), reassurance (n=3/12), and symptom control (n=2/12), rather than individualized factors or therapy. No pts recalled detailed discussions of risks or cytogenetics at initial diagnosis (n=0/12) (Table 1). In treatment discussions for later lines of therapy, HEM/ONCs appear to offer more options and pts appear to participate more in treatment decisions: pts reported their preferences were considered for later-line therapy (n=5/12), for switching treatments due to side effects (n=3/12), and when offered a 'brand new' medication (n=2/12); HEM/ONCs also reported shared decision-making for later-line therapy (n=7/12; Table 2). Regarding treatment goals, all MM pts (regardless of line of therapy; n=12/12) and HEM/ONCs (n=12/12) prioritized efficacy. Among efficacy measures, pts prioritized response (n=10/12) and overall survival (OS; n=7/12), followed by progression-free survival (PFS; n=4/12). These efficacy goals aligned with the top treatment goals for HEM/ONCs (response: n=12/12; OS: n=11/12; PFS: n=8/12). Aside from efficacy, priorities for pts and HEM/ONCs overlapped on ability to do physical activities (n=4/12 pts, n=6/12 HEM/ONCs), participating in social activities (n=3/12 pts, n=6/12 HEM/ONCs), getting back to normal life (n=3/12 pts, n=4/12 HEM/ONCs), continuing to work (n=3/12 pts, n=4/12 HEM/ONCs), and maintaining a family role (n=2/12 pts, n=3/12 HEM/ONCs). Areas prioritized by pts but not by HEM/ONCs included avoiding being a burden on their family (n=5/12 pts, n=0/12 HEM/ONCs), and avoiding serious heart damage (n=5/12 pts, n=1/12 HEM/ONCs) and kidney damage (n=4/12 pts, n=1/12 HEM/ONCs). HEM/ONCs prioritized avoiding neuropathy and convenience of administration, which pts did not mention. Conclusions: The pt's role in treatment selection increases in later lines as they are offered more options, receive more information, and feel their preferences are considered. In the current study, both pts and HEM/ONCs prioritized disease control over most other aspects, particularly in later lines. Pts and HEM/ONCs prioritized maintaining quality of life over avoiding specific adverse events that are not life-threatening or requiring medical intervention. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0.023
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.047
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.004
Scholarly communication0.0030.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.071
GPT teacher head0.398
Teacher spread0.327 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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