ArticleCancer medicine2023
Examining disparities in large-scale patient-reported data capture using digital tools among cancer patients at clinical intake.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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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.
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Who cites it
10 citing papers in PubMed, 9 citations in OpenAlex.
- Desire for future children and interest in consultation with a fertility specialist among adolescent and young adult (AYA) cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Sexual orientation and gender identity data reveals real-world cancer disparities among sexual and gender minorities at an NCI-Designated Comprehensive Cancer Center.Journal of the National Cancer Institute. Monographs · 2025Article
- Article
- Digital Health Technology Use Among Spanish Speakers in the US: A Scoping Review.JAMA network open · 2025Article
- Building research infrastructure to advance precision medicine in colorectal cancer.JNCI cancer spectrum · 2025Article
- A Multistakeholder Qualitative Study to Inform Sexual Orientation and Gender Identity Data Collection in the Cancer Care Setting.LGBT health · 2025Article
- Disparities in electronic health record patient portal activation and use among people with hematological malignancies.Journal of geriatric oncology · 2025Article
- Factors Associated with Self-reported COVID-19 Infection and Hospitalization among Patients Seeking Care at a Comprehensive Cancer Center.Journal of racial and ethnic health disparities · 2025Article
- Cannabis use and patient-reported outcomes among patients at a comprehensive cancer center.Journal of the National Cancer Institute. Monographs · 2024Article
- Examining disparities in large-scale patient-reported data capture using digital tools among cancer patients at clinical intake.Cancer medicine · 2023Article
Corrections and comments
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Authors and funding
20 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPatient-reported data can improve quality of healthcare delivery and patient outcomes. Moffitt Cancer Center ("Moffitt") administers the Electronic Patient Questionnaire (EPQ) to collect data on demographics, including sexual orientation and gender identity (SOGI), medical history, cancer risk factors, and quality of life. Here we investigated differences in EPQ completion by demographic and cancer characteristics.
methodsAn analysis including 146,142 new adult patients at Moffitt in 2009-2020 was conducted using scheduling, EPQ and cancer registry data. EPQ completion was described by calendar year and demographics. Logistic regression was used to estimate associations between demographic/cancer characteristics and EPQ completion. More recently collected information on SOGI were described.
resultsPatient portal usage (81%) and EPQ completion rates (79%) were consistently high since 2014. Among patients in the cancer registry, females were more likely to complete the EPQ than males (odds ratio [OR] = 1.17, 95% confidence interval [CI] = 1.14-1.20). Patients ages 18-64 years were more likely to complete the EPQ than patients aged ≥65. Lower EPQ completion rates were observed among Black or African American patients (OR = 0.59, 95% CI = 0.56-0.63) as compared to Whites and among patients whose preferred language was Spanish (OR = 0.40, 95% CI = 0.36-0.44) or another language as compared to English. Furthermore, patients with localized (OR = 1.16, 95% CI = 1.12-1.19) or regional (OR = 1.16, 95% CI = 1.12-1.20) cancer were more likely to complete the EPQ compared to those with metastatic disease. Less than 3% of patients self-identified as being lesbian, gay, or bisexual and <0.1% self-identified as transgender, genderqueer, or other.
conclusionsEPQ completion rates differed across demographics highlighting opportunities for targeted process improvement. Healthcare organizations should evaluate data acquisition methods to identify potential disparities in data completeness that can impact quality of clinical care and generalizability of self-reported data.
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