Demographics, Clinical Characteristics, and Treatment Outcomes of Patients With Newly Diagnosed Multiple Myeloma in the US Across Social Determinants of Health (SDoH)

Speaker(s)

Boytsov N1, Multani J2, Zhou Z3, Kotowsky N4, Bolgioni-Smith A5, Huo T6, Paltanwale Q7, McNamara S8, Chen CC7
1GSK, Carmel, USA, 2IQVIA, Falls Church, VA, USA, 3IQVIA, Arlington, VA, USA, 4GSK, San Francisco, CA, USA, 5GSK, Waltham, MA, USA, 6IQVIA, King of Prussia, PA, USA, 7IQVIA, Durham, NC, USA, 8GSK, Stevenage, Hertfordshire, UK

Presentation Documents

OBJECTIVES: To describe the characteristics and treatment outcomes of patients with newly diagnosed multiple myeloma (NDMM) in the US across social determinants of health (SDoH).

METHODS: This analysis used linked data from IQVIA PharMetrics® Plus, Healthwise, and Veritas databases (January 1, 2018–December 31, 2022). Date of first multiple myeloma (MM) diagnosis was the index date. Patient characteristics (6 months pre-index), overall survival (OS), time to next treatment or death (TTNTD), and associations between these and SDoH were assessed.

RESULTS: For 4768 NDMM patients, OS (95% confidence interval [CI]) at 12 months post-index was 96.8% (96.3–97.3). Patients with a lower OS rate had the highest likelihood of food insecurity (P<0.0001), had the lowest ease of healthcare system engagement (P<0.0001), and the highest healthcare needs (P<0.0001). Non-White patients had the shortest TTNTD from the first line of therapy (P=0.05). Patients with the highest likelihood of food insecurity were more likely to be non-White (highest/lowest: 25%/11%), ≥65 years old (highest/lowest: 40%/31%), from the South (highest/lowest: 54%/25%), and to live in a non-urban area (highest/lowest: 22%/4%).

Patients with the lowest likelihood of transportation access were more likely to be non-White (lowest/highest: 26%/13%), 18–42 years old (lowest/highest: 8%/1%), and to have high school as their highest education level (lowest/highest: 59%/43%). Patients with the lowest ease of healthcare system engagement were more likely to be non-White (lowest/highest: 19%/13%), ≥65 years old (lowest/highest: 73%/14%), from the Midwest (lowest/highest: 38%/27%), and to have high school as their highest education level (lowest/highest: 53%/44%).

CONCLUSIONS: This study provides evidence of disparities in the health of patients with MM, with disadvantaged groups experiencing both shorter survival and TTNTD. There is a high unmet need to address such disparities in order to improve treatment outcomes in disadvantaged populations.

Funding: GSK (Study 221213)

Code

RWD108

Topic

Real World Data & Information Systems

Topic Subcategory

Distributed Data & Research Networks

Disease

Oncology