Medical Maximizing Preferences and Beliefs About Cancer Among US Adults
- PMID: 38874925
- PMCID: PMC11179133
- DOI: 10.1001/jamanetworkopen.2024.17098
Medical Maximizing Preferences and Beliefs About Cancer Among US Adults
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.
Conflict of interest statement
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