Disparities in Time to Diagnosis Among Patients With Multiple Myeloma.


Journal

Clinical lymphoma, myeloma & leukemia
ISSN: 2152-2669
Titre abrégé: Clin Lymphoma Myeloma Leuk
Pays: United States
ID NLM: 101525386

Informations de publication

Date de publication:
11 2023
Historique:
received: 07 03 2023
revised: 25 07 2023
accepted: 04 08 2023
medline: 6 11 2023
pubmed: 24 8 2023
entrez: 23 8 2023
Statut: ppublish

Résumé

Multiple myeloma (MM) is one of the most diagnosed hematologic malignancies in the United States. Despite improvements in therapy, health disparities persist among patients with MM. Here, we aim to determine whether there are disparities in time to diagnosis (TTD) among MM patients with regard to income, race/ethnicity, and gender. Patients with a monoclonal protein detected in the serum and/or urine and a subsequent bone marrow biopsy confirmed diagnosis of MM were included in the study. We extracted data on patients with MM and assessed whether the predictor variables were associated with the primary outcome of TTD, which we define as the time between detection of a monoclonal protein in the serum or urine and bone marrow biopsy diagnosis of MM. Compared to patients with commercial insurance, patients receiving Medicaid (HR: 0.408, 95% CI: 0.206-0.808; P = .010) and patients without insurance (HR: 0.428, 95% CI: 0.207-0.885; P = .022) were significantly more likely to have delayed TTD. TTD was also prolonged if the provider who ordered the testing for the detection of a monoclonal protein was not a hematologist (HR: 0.435, 95% CI: 0.284-0.668; P < .0001). No disparities were found with regard to race/ethnicity or gender. This study suggests there may be socioeconomic disparities in TTD among patients with MM. Interventions such as patient navigation may be useful to reduce TTD among socioeconomically disadvantaged patient populations. Further studies need to be conducted to elucidate reasons for delays.

Sections du résumé

BACKGROUND
Multiple myeloma (MM) is one of the most diagnosed hematologic malignancies in the United States. Despite improvements in therapy, health disparities persist among patients with MM. Here, we aim to determine whether there are disparities in time to diagnosis (TTD) among MM patients with regard to income, race/ethnicity, and gender.
PATIENTS
Patients with a monoclonal protein detected in the serum and/or urine and a subsequent bone marrow biopsy confirmed diagnosis of MM were included in the study.
METHODS
We extracted data on patients with MM and assessed whether the predictor variables were associated with the primary outcome of TTD, which we define as the time between detection of a monoclonal protein in the serum or urine and bone marrow biopsy diagnosis of MM.
RESULTS
Compared to patients with commercial insurance, patients receiving Medicaid (HR: 0.408, 95% CI: 0.206-0.808; P = .010) and patients without insurance (HR: 0.428, 95% CI: 0.207-0.885; P = .022) were significantly more likely to have delayed TTD. TTD was also prolonged if the provider who ordered the testing for the detection of a monoclonal protein was not a hematologist (HR: 0.435, 95% CI: 0.284-0.668; P < .0001). No disparities were found with regard to race/ethnicity or gender.
CONCLUSION
This study suggests there may be socioeconomic disparities in TTD among patients with MM. Interventions such as patient navigation may be useful to reduce TTD among socioeconomically disadvantaged patient populations. Further studies need to be conducted to elucidate reasons for delays.

Identifiants

pubmed: 37612207
pii: S2152-2650(23)00247-1
doi: 10.1016/j.clml.2023.08.003
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e379-e385

Subventions

Organisme : NCATS NIH HHS
ID : KL2 TR002317
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR002318
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002319
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Olivia M Lin (OM)

Department of Medicine, University of Washington, Seattle, WA. Electronic address: oml3@uw.edu.

Dana Paine (D)

Department of Medicine, University of Washington, Seattle, WA.

Esther Gramling (E)

Department of Medicine, University of Washington, Seattle, WA.

Manoj Menon (M)

Department of Medicine, University of Washington, Seattle, WA; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA.

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