Evidence map›Paper›PMID 40475133›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Tension between timeliness and completeness of data in the initiation of cancer treatment: A qualitative study of oncology practice workflows and enduring health IT challenges.

Lipika Samal, Michael Anne Kyle, John L Kilgallon, Kristen McNiff Landrum, Atul A Gawande, Joseph O Jacobson, Michael J Hassett

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

7 authors.

Lipika SamalDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA.
Michael Anne KyleDepartment of Health Care Policy, Harvard Medical School, Boston, MA.ORCID 0000-0001-9199-6904
John L KilgallonDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA.
Kristen McNiff LandrumKM Healthcare Consulting, Wilmington, NC.
Atul A GawandeAriadne Labs, Brigham & Women's Hospital, Harvard T.H. Chan School of Public Health, Boston, MA.
Joseph O JacobsonDepartment of Medicine, Harvard Medical School, Boston, MA.
Michael J HassettDepartment of Medicine, Harvard Medical School, Boston, MA.

Funding

Electronic Tools to Increase Recognition and Improve Primary Care Management for Hypertension in Chronic Kidney Disease: A Multi-site Randomized Clinical TrialR01DK116898 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI Saul B. Blecker, David Alan Feldstein · 2018 to 2026
$6.0M
Training in Oncology Population Sciences (TOPS)T32CA092203 · NCI · DANA-FARBER CANCER INST · PI Nancy L Keating, JENNIFER W MACK · 2018 to 2026
$3.7M
Patient Administrative Burden in Cancer Care DeliveryR00CA277367 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Michael Anne Kyle · 2024 to 2026
$747k
Patient Administrative Burden in Cancer Care DeliveryK99CA277367 · NCI · HARVARD MEDICAL SCHOOL · PI KYLE, MICHAEL ANNE · 2023 to 2024
$296k
NCI NIH HHS K99 CA277367NCI NIH HHS R00 CA277367NCI NIH HHS T32 CA092203NIDDK NIH HHS R01 DK116898
6 · The paper itself

Abstract

Introduction: Diagnostic evaluation and treatment planning for newly diagnosed cancer requires a coordinated effort across multiple specialties. Delays in treatment initiation are common, leading to unnecessary anxiety and decreased survival. Given that timely treatment initiation is pivotal to providing high quality cancer care, we sought to characterize patient intake, workflows, and the role of health information technology (HIT) in a varied group of oncology practices nationwide. Methods: Interviews with oncologists were performed between March and September 2016, with follow-ups conducted between October and December 2021. Thematic analysis was used to assign codes to key elements of the transcripts, group these codes into conceptually distinct and clinically meaningful categories, and identify major cross-cutting themes. Results: Nine oncologists participated in an initial interview (one surgical, two radiation, six medical oncology). Four oncologists participated in a follow-up interview (one radiation, three medical oncology). In both time periods there was tremendous variation in staff roles and communication processes; some oncology practices obtained diagnostic studies before the first oncology consult visit, whereas others waited until after the initial consult visit to begin the diagnostic evaluation. Variability and tension were noted to arise from deficiencies in HIT, such as lack of interoperability, impaired speed and quality of data collection, cumbersome user interfaces, and variety of data types in oncology care. Oncologists reported only modest improvements in HIT between 2016 and 2021. Conclusion: Assembling data to make a new cancer diagnosis and treatment plan is complex and time-intensive. HIT interoperability remains a quasi-manual process, contributing to preventable treatment delays. Federal policy supporting interoperability provides an opportunity to develop HIT that supports care coordination and patient-centered care, but effective implementation of such tools will be challenging within current workflows.

Indexed as

cancer care deliverycancer care facilities [MeSH]care coordinationelectronic health record

Identifiers

PMID40475133
PMCPMC12140541

What OpenQuestion holds

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LicenceCC BY
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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.