Evidence map›Paper›PMID 38874925›Full record

ArticleJAMA network open2024

Medical Maximizing Preferences and Beliefs About Cancer Among US Adults.

Alexander S Chiu, Ines Hoxha, Catherine B Jensen, Megan C Saucke, Susan C Pitt

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Does Messaging for Reducing Breast Cancer Overscreening in Older Women Have Differential Responses among Medical Minimizers and Maximizers?Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Trial
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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.

Alexander S ChiuDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison.
Ines HoxhaDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison.
Catherine B JensenDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison.
Megan C SauckeDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison.
Susan C PittDepartment of Surgery, University of Michigan, Ann Arbor.

Funding

Impact of Emotions on Treatment Decisions About Low-Risk Thyroid CancerK08CA230204 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI PITT, SUSAN C · 2018 to 2023
$1.4M
Surgery Summer Research Experience for Medical StudentsT35DK062709 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI MEZRICH, JOSHUA D · 2006 to 2023
$870k
NCI NIH HHS K08 CA230204NIDDK NIH HHS T35 DK062709
6 · The paper itself

Abstract

Importance: Medical overutilization contributes to significant health care expenditures and exposes patients to questionably beneficial surgery and unnecessary risk. Objectives: To understand public attitudes toward medical utilization and the association of these attitudes with beliefs about cancer. Design, Setting, and Participants: In this cross-sectional survey study conducted from August 26 to October 28, 2020, US-based, English-speaking adults were recruited from the general public using Prolific Academic, a research participant platform. Quota-filling was used to obtain a sample demographically representative of the US population. Adults with a personal history of cancer other than nonmelanoma skin cancer were excluded. Statistical analysis was completed in July 2022. Main Outcome and Measures: Medical utilization preferences were characterized with the validated, single-item Maximizer-Minimizer Elicitation Question. Participants preferring to take action in medically ambiguous situations (hereafter referred to as "maximizers") were compared with those who leaned toward waiting and seeing (hereafter referred to as "nonmaximizers"). Beliefs and emotions about cancer incidence, survivability, and preventability were assessed using validated measures. Logistic regression modeled factors associated with preferring to maximize medical utilization. Results: Of 1131 participants (mean [SD] age, 45 [16] years; 568 women [50.2%]), 287 (25.4%) were classified as maximizers, and 844 (74.6%) were classified as nonmaximizers. Logistic regression revealed that self-reporting very good or excellent health status (compared with good, fair, or poor; odds ratio [OR], 2.01 [95% CI, 1.52-2.65]), Black race (compared with White race; OR, 1.88 [95% CI, 1.22-2.89]), high levels of cancer worry (compared with low levels; OR, 1.62 [95% CI, 1.09-2.42]), and overestimating cancer incidence (compared with accurate estimation or underestimating; OR, 1.58 [95% CI, 1.09-2.28]) were significantly associated with maximizing preferences. Those who believed that they personally had a higher-than-average risk of developing cancer were more likely to be maximizers (23.6% [59 of 250] vs 17.4% [131 of 751]; P = .03); this factor was not significant in regression analyses. Conclusions and Relevance: In this survey study of US adults, those with medical maximizing tendencies more often overestimated the incidence of cancer and had higher levels of cancer-related worry. Targeted and personalized education about cancer and its risk factors may help reduce overutilization of oncologic care.

Indexed as

NeoplasmsAdultAgedCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPatient PreferenceSurveys and QuestionnairesUnited States

Identifiers

PMID38874925
PMCPMC11179133

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.