Evidence map›Paper›PMID 41789887›Full record

ArticleJournal of the American College of Surgeons2026

Patient Preferences for Cancer Care Within Hub-and-Spoke Networks: A Discrete Choice Experiment.

Kristy K Broman, Britany Hollenquest, Lisa Zubkoff, Smita Bhatia, Courtney P Williams

Abstract read
In one paragraph

Article in Journal of the American College of Surgeons, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Kristy K BromanFrom the Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX (Broman).
Britany HollenquestInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL (Broman, Hollenquest, Bhatia).
Lisa ZubkoffDepartment of Veterans Affairs, Birmingham VA Medical Center, Birmingham, AL (Broman, Zubkoff).
Smita BhatiaInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL (Broman, Hollenquest, Bhatia).
Courtney P WilliamsDivision of General Internal Medicine and Population Science, University of Alabama at Birmingham, Birmingham, AL (Zubkoff, Williams).

Funding

DEEP SOUTH TRANSLATIONAL RESEARCH MENTORED CAREER DEVELOPMENT PROGRAMKL2TR003097 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2019 to 2023
$5.2M
Implementing Palliative Care: Learning Collaborative vs. Technical AssistanceR01CA229197 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ZUBKOFF, LISA · 2018 to 2024
$3.0M
Leveraging Health Systems to Increase Implementation of Evidence-Based Surgical Cancer CareK08CA283001 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROMAN, KRISTY KUMMEROW · 2023 to 2025
$592k
NCATS NIH HHS KL2 TR003097NCI NIH HHS K08 CA283001NCI NIH HHS R01 CA229197
6 · The paper itself

Abstract

backgroundHub-and-spoke cancer networks are increasingly used to extend specialty expertise to rural populations; however, patient preferences for how surgical and nonsurgical cancer care should be delivered within these networks are poorly defined. We quantified rural patient preferences and identified distinct preference phenotypes to inform network design. STUDY

designA cross-sectional discrete choice experiment was administered to adult patients at a rural primary care clinic affiliated with an academic cancer center (November 2023 to May 2024). Respondents completed 30 forced-choice tasks evaluating trade-offs among travel time, provider specialization, visit type (in-person vs telemedicine), expert case review (direct, tumor board, or quality oversight), and surgical team experience. Effects-coded conditional logit models generated preference weights. Latent class analysis segmented respondents into preference phenotypes.

resultsAmong 171 respondents (median age 52 years; 43% Black or people of color), surgical team experience (34%) and surgeon specialization (25%) were most important for surgical care. Fifty-three percent of respondents prioritized a specialist surgeon and a high-volume team and were willing to travel; 39% prioritized in-person visits and accepted indirect case review; and 8% prioritized limiting travel. For nonsurgical care, visit type (35%), travel (27%), and provider type (27%) were the most important factors. Four phenotypes emerged: preference for specialist oncologist (29%), direct expert review (28%), in-person visits (28%), and limiting travel (18%).

conclusionsRural patients exhibit heterogeneous and treatment-specific preference phenotypes within hub-and-spoke cancer networks. Preference elicitation may enable networks to align specialist deployment, telemedicine infrastructure, multidisciplinary case review, and resource allocation with patient priorities.

Indexed as

NeoplasmsPatient PreferenceRural Health ServicesAdultAgedChoice BehaviorCross-Sectional StudiesFemaleHumansMaleMiddle AgedRural Population

Identifiers

PMID41789887
PMCPMC13186606

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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.