Feasibility of collecting social determinants of health data in the frontline pediatric acute lymphoblastic leukemia (ALL) trial AALL1731: A report from the Children's oncology group

H Haley Newman (1Children's Hospital of Philadelphia, Division of Oncology, Philadelphia, United States) M Morgan Paul (3Dana-Farber Cancer Institute, Department of Data Science, Boston, United States) J John Kairalla (2University of Florida - Children's Oncology Group, Gainesville, United States) C Cindy Wang (Department of Biostatistics, Colleges of Medicine, Public Health, and Health Professions, University of Florida, Gainesville) S Sunyu Kang (2Dana Farber Cancer Institute, Department of Data Science, Boston, United States) S Sarah Alexander (Division of Haematology–Oncology, University of Toronto, Toronto) P Peter Cole (5Rutger's Cancer Institute of New Jersey, Division of Pediatric Hematology/Oncology, New Brunswick, United States) I Iris Paltin (1Children's Hospital of Philadelphia, Philadelphia, United States) C Colleen Kelly (1Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, United States) D Daniel Zheng R Rahela Aziz-Bose (1Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, United States) P Puja Umaretiya (4UT Southwestern Medical Center, Department of Pediatrics, Dallas, United States) M Mignon Loh (13Ben Towne Center for Childhood Cancer Research and the Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA) E Elizabeth Raetz (11NYU Langone Health, New York, United States) S Stephen Hunger (9Children's Hospital of Philadelphia, Philadelphia, United States) M Meenakshi Devidas (Department of Global Pediatric Medicine, St. Jude Children’s Research Hospital, Memphis, TN) D David Teachey (4Children's Hospital of Philadelphia, Division of Oncology and Center for Childhood Cancer Research, Philadelphia, United States) R Rachel Rau (10Seattle Children's Hospital, Seattle, United States) S Sumit Gupta (Division of Haematology–Oncology, University of Toronto, Toronto) K Kira Bona (5Dana-Farber Cancer Institute, Boston, United States)

Abstract

Abstract Background : Poverty-exposed children with B-acute lymphoblastic leukemia (B-ALL) are more likely to relapse, and long-term survivors are more likely to suffer chronic health conditions including neurocognitive late effects. Caregivers of these children are twice as likely to experience severe psychological distress during ALL therapy. Sociodemographic data routinely collected on Children's Oncology Group (COG) trials have historically included race, ethnicity, insurance, and ZIP code. These data elements can proxy exposure to adverse social determinants of health (SDOH), including poverty, and identify outcome disparities—but are not modifiable targets for intervention. Whether SDOH data collection is feasible in a large scale, groupwide ALL trial is unknown. We report data from AALL1731, the first COG ALL trial to include systematic collection of parent-reported SDOH as part of an optional, longitudinal correlative study of neurocognitive late effects. Methods : AALL1731 (NCT03914625) enrolled children aged 1-9 years with NCI standard risk B-ALL from 6/2019 to 7/2024. In 9/2020, AALL1731 was amended to include an opt-in, longitudinal, correlative “Household Material Hardship (HMH) and Neurocognitive Late Effects” aim to evaluate the association between SDOH-exposures and neurocognitive late effects. The primary exposure of interest was HMH—defined as food, housing, utility or transportation insecurity. Participants who spoke English, Spanish or French, enrolled at a US or Canadian site, and without Down Syndrome were eligible to opt-in to the correlative study at time of AALL1731 consent. Participation included both parent/guardian completion of a 75-item survey and child neurocognitive testing at 4-timepoints: baseline (before end-induction), start of maintenance, end of therapy, and 1-year post-therapy. Written surveys were self-completed or read-aloud by site personnel with an interpreter as needed. Families were not remunerated for participation. We report the feasibility of baseline SDOH data collection in a groupwide ALL trial, defined as the proportion of correlative study participants with completed baseline surveys and acceptability defined as the proportion of surveys with evaluable HMH data (the primary exposure of interest). Results : As of 6/30/24, 1487/2040 (73%) eligible participants opted-in to the HMH and Neurocognitive Late Effects aim. Of 1487 correlative study participants,1102 (74%) completed the baseline survey a median of 20 days (Q1-Q3: 10-27) from trial consent across 179 sites. Among completed surveys, 1075 (97.5%) had evaluable HMH data. Sociodemographic characteristics were similar for correlative study participants and non-participants: age (median 5.30 vs 5.45 years), sex (female 46% vs 46%), race/ethnicity (Hispanic 25% vs 23%; Asian 4% vs 7%; Black 7% vs 4%; non-Hispanic White 51% vs 46%; unknown 14% vs 20%), and insurance (Medicaid-only 34% vs 29%). Thirty-three percent of respondents reported HMH exposure at baseline—with housing (24%) and food insecurity (16%) being most common. Primary correlative aim analyses and secondary analyses of SDOH and outcomes are pending mature trial data. Conclusions : Collection of baseline parent-reported SDOH data within a COG ALL correlative study is feasible and acceptable during the first month of induction therapy based on high survey completion and minimal data missingness across 179 sites. One in three children were HMH-exposed at trial entry, highlighting the high prevalence of clinically relevant adverse SDOH in a patient population for whom interventions to improve outcomes may be warranted. Notably, a 74% SDOH survey completion rate is lower than previously reported in COG Neuroblastoma and Dana-Farber ALL Consortium trials (88% and 96%), which collected SDOH survey data as stand-alone correlative aims. A brief (11-item), single-timepoint SDOH survey will be evaluated in future COG trials not linked to other correlative data requirements to minimize family time investment and maximize data collection. Systematic integration of SDOH data collection as an expected component of future trial design will support investigation of mechanisms underlying treatment-failure and late effects of therapy and to identify children at risk of inferior outcomes who may benefit from targeted health equity interventions.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 2742-2742
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (20)

H

Haley Newman

1Children's Hospital of Philadelphia, Division of Oncology, Philadelphia, United States

M

Morgan Paul

3Dana-Farber Cancer Institute, Department of Data Science, Boston, United States

J

John Kairalla

2University of Florida - Children's Oncology Group, Gainesville, United States

C

Cindy Wang

Department of Biostatistics, Colleges of Medicine, Public Health, and Health Professions, University of Florida, Gainesville

S

Sunyu Kang

2Dana Farber Cancer Institute, Department of Data Science, Boston, United States

S

Sarah Alexander

Division of Haematology–Oncology, University of Toronto, Toronto

P

Peter Cole

5Rutger's Cancer Institute of New Jersey, Division of Pediatric Hematology/Oncology, New Brunswick, United States

I

Iris Paltin

1Children's Hospital of Philadelphia, Philadelphia, United States

C

Colleen Kelly

1Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, United States

D

Daniel Zheng

R

Rahela Aziz-Bose

1Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, United States

P

Puja Umaretiya

4UT Southwestern Medical Center, Department of Pediatrics, Dallas, United States

M

Mignon Loh

13Ben Towne Center for Childhood Cancer Research and the Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA

E

Elizabeth Raetz

11NYU Langone Health, New York, United States

S

Stephen Hunger

9Children's Hospital of Philadelphia, Philadelphia, United States

M

Meenakshi Devidas

Department of Global Pediatric Medicine, St. Jude Children’s Research Hospital, Memphis, TN

D

David Teachey

4Children's Hospital of Philadelphia, Division of Oncology and Center for Childhood Cancer Research, Philadelphia, United States

R

Rachel Rau

10Seattle Children's Hospital, Seattle, United States

S

Sumit Gupta

Division of Haematology–Oncology, University of Toronto, Toronto

K

Kira Bona

5Dana-Farber Cancer Institute, Boston, United States