Household income and health‐related quality of life in children receiving treatment for acute myeloid leukemia: Potential impact of selection bias in health equity research

Author:

Newman Haley12ORCID,Li Yimei23,Huang Yuan‐Shung V.4,Elgarten Caitlin W.12,Myers Regina M.12,Ruiz Jenny5,Zheng Daniel J.1,Leahy Alison Barz12ORCID,Aftandilian Catherine6,Arnold Staci D.7,Bona Kira8,Gramatges M. Monica9,Heneghan Mallorie B.10,Maloney Kelly W.11,Modi Arunkumar J.12,Mody Rajen J.13,Morgan Elaine14,Rubnitz Jeffrey15ORCID,Winick Naomi16,Wilkes Jennifer J.17,Seif Alix E.1218ORCID,Fisher Brian T.1819,Aplenc Richard1218,Getz Kelly D.23ORCID

Affiliation:

1. Division of Oncology, Department of Pediatrics Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

2. Department of Pediatrics University of Pennsylvania Philadelphia Pennsylvania USA

3. Department of Biostatistics, Epidemiology, and Informatics University of Pennsylvania Philadelphia Pennsylvania USA

4. Department of Biomedical and Health Informatics Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

5. Division of Hematology‐Oncology, Department of Pediatrics UPMC Children's Hospital of Pittsburgh Pittsburgh Pennsylvania USA

6. Division of Pediatric Hematology‐Oncology, Stem Cell Transplant and Regenerative Medicine, Department of Pediatrics Stanford University Stanford California USA

7. Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta Emory University School of Medicine Atlanta Georgia USA

8. Division of Population Sciences, Department of Pediatric Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA

9. Division of Pediatric Hematology‐Oncology, Department of Pediatrics Texas Children's Hospital, Baylor College of Medicine Houston Texas USA

10. Division of Pediatric Hematology‐Oncology, Department of Pediatrics University of Utah Salt Lake City Utah USA

11. Department of Pediatrics‐Hematology/Oncology and Bone Marrow Transplant, University of Colorado Cancer Center Children's Hospital Colorado Aurora Colorado USA

12. Division of Hematology Oncology, Department of Pediatrics University of Arkansas for Medical Sciences, Arkansas Children's Hospital Little Rock Arkansas USA

13. Department of Pediatrics University of Michigan Medical School Ann Arbor Michigan USA

14. Department of Pediatrics Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine Chicago Illinois USA

15. Department of Oncology St. Jude Children's Research Hospital Memphis Tennessee USA

16. Department of Pediatric Hematology Oncology University of Texas Southwestern Medical Center Dallas Texas USA

17. Division of Cancer and Blood Disorders, Department of Pediatrics University of Washington School of Medicine Seattle Washington USA

18. Center for Childhood Cancer Research Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

19. Division of Infectious Disease, Department of Pediatrics Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

Abstract

AbstractObjectiveExamine the influence of household income on health‐related quality of life (HRQOL) among children with newly diagnosed acute myeloid leukemia (AML).DesignSecondary analysis of data prospectively collected from pediatric patients receiving treatment for AML at 14 hospitals across the United States.ExposureHousehold income was self‐reported on a demographic survey. The examined mediators included the acuity of presentation and treatment toxicity.OutcomeCaregiver proxy reported assessment of patient HRQOL from the Peds QL 4.0 survey.ResultChildren with AML (n = 131) and caregivers were prospectively enrolled to complete PedsQL assessments. HRQOL scores were better for patients in the lowest versus highest income category (mean ± SD: 76.0 ± 14 household income <$25,000 vs. 59.9 ± 17 income ≥$75,000; adjusted mean difference: 11.2, 95% CI: 2.2–20.2). Seven percent of enrolled patients presented with high acuity (ICU‐level care in the first 72 h), and 16% had high toxicity (any ICU‐level care); there were no identifiable differences by income, refuting mediating roles in the association between income and HRQOL. Enrolled patients were less likely to be Black/African American (9.9% vs. 22.2%), more likely to be privately insured (50.4% vs. 40.7%), and more likely to have been treated on a clinical trial (26.7% vs. 18.5%) compared to eligible unenrolled patients not enrolled. Evaluations of potential selection bias on the association between income and HRQOL suggested differences in HRQOL may be smaller than observed or even in the opposing direction.ConclusionsWhile primary analyses suggested lower household income was associated with superior HRQOL, differential participation may have biased these results. Future studies should partner with patients/families to identify strategies for equitable participation in clinical research.

Funder

National Institutes of Health

Publisher

Wiley

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