Evidence map›Paper›PMID 42295452›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Development and pre-testing of a family-centered digital intervention to help families know what to EXPECT from pediatric acute lymphoblastic leukemia therapy.

Clara C Hatch, Lydia Haupt Levy, Kara M Kelly, Anna Revette, Marissa Krieger, Laura Moynihan, Natasha Carter, Rachel Selig, Lynda M Vrooman, Justine M Kahn and 1 more

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Clara C HatchDana-Farber/Boston Children's Cancer and Blood Disorders Center, 450 Brookline Ave, Boston, MA, 02215, USA.
Lydia Haupt LevyDana-Farber/Boston Children's Cancer and Blood Disorders Center, 450 Brookline Ave, Boston, MA, 02215, USA.
Kara M KellyDepartment of Pediatric Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Anna RevetteDivision of Population Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
Marissa KriegerDepartment of Pediatric Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Laura MoynihanDivision of Pediatric Hematology/Oncology, Hasbro Children's Hospital, Providence, RI, USA.
Natasha CarterDana-Farber/Boston Children's Cancer and Blood Disorders Center, 450 Brookline Ave, Boston, MA, 02215, USA.
Rachel SeligDana-Farber/Boston Children's Cancer and Blood Disorders Center, 450 Brookline Ave, Boston, MA, 02215, USA.
Lynda M VroomanDana-Farber/Boston Children's Cancer and Blood Disorders Center, 450 Brookline Ave, Boston, MA, 02215, USA.
Justine M KahnDepartment of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.
Katie A GreenzangDana-Farber/Boston Children's Cancer and Blood Disorders Center, 450 Brookline Ave, Boston, MA, 02215, USA. katie_greenzang@dfci.harvard.edu.ORCID http://orcid.org/0000-0002-7591-2245

Funding

Expectations for Pediatric Cancer Treatment (EXPECT): A Family-Centered Intervention to Prepare Parents for Pediatric Leukemia TherapyK08CA245036 · NCI · DANA-FARBER CANCER INST · PI GREENZANG, KATIE A. · 2019 to 2023
$761k
NCI NIH HHS K08 CA245036
6 · The paper itself

Abstract

purposeAcute lymphoblastic leukemia (ALL), the most common pediatric malignancy, involves multi-year treatment with substantial outpatient care, which contributes to high parent/caregiver burden. Communication gaps and complex treatment regimens can leave families feeling unprepared for care of their children with ALL. To address this, we co-developed and pre-tested a digital health intervention supporting communication about what to expect during and after pediatric ALL treatment.

methodsEmploying an iterative, stakeholder-driven process, we co-developed and pre-tested a family-centered interactive website, "EXPECT," in two phases. Phase 1 included a secondary synthesis of stakeholder needed information and functionality (contextual inquiry), content creation, and website development, overseen by a multidisciplinary steering committee of clinical experts, patients, and families. In Phase 2 pre-testing, parents of patients with ALL rated the website's acceptability and provided feedback during semi-structured interviews.

resultsSynthesis of previous patient, parent, and provider interviews revealed key priorities for intervention content and design which were addressed in content creation and web development. Pre-testing demonstrated high acceptability (4.7/5). Participants highlighted EXPECT's user-friendliness and innovative features such as the interactive treatment roadmap. Participants preferred to receive early access to the website, within weeks of initiating treatment, and anticipated using EXPECT throughout therapy and the post-treatment period, primarily on mobile devices.

conclusionEXPECT co-development resulted in an acceptable digital health intervention to support families of children with ALL. EXPECT is being refined in response to feedback and will be tested in real-time treatment discussions in a multi-center pilot study to evaluate feasibility, use, and preliminary efficacy.

Indexed as

ParentsPrecursor Cell Lymphoblastic Leukemia-LymphomaAdolescentChildChild, PreschoolDigital HealthFemaleHumansInternetMaleCommunicationDigital healthLeukemiaPatient educationPediatric Oncology

Identifiers

PMID42295452
PMCPMC13269404

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.