Disparities in Time to Diagnosis Among Patients With Multiple Myeloma.
Diagnostic delay
Health disparities
Socioeconomic disparities
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
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-e385Subventions
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.