Sociodemographic Drivers of Delays in Seeking Medical Care in the All of Us Cohort.
Background/Objectives: This study examined the reasons and sociodemographic drivers behind delays in seeking medical care among participants in the All of Us Research Program. Methods: A cross-sectional study was conducted using data collected between 2018 and 2024. The primary outcome was the preva...
| Publicado en: | Nursing Reports Vol. 16; no. 2; pp. 51 - 66 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
MDPI
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192035178&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192035178 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2039439X EGNT jtl: Nursing Reports issn: 2039439X maglogo: N pubinfo: dt: Feb2026 vid: 16 iid: 2 pid: 97109 pub: MDPI artinfo: ui: 192035178 192035178 192035178 10.3390/nursrep16020051 192035178 ppf: 51 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Sociodemographic Drivers of Delays in Seeking Medical Care in the All of Us Cohort. aug: au: Abegaz, Tadesse M. Shegena, Efrata Ashuro Frietze, Gabriel Ahmed, Muktar affil: School of Pharmacy, University of Texas at El Paso, 1101 N Campbell St, El Paso, TX 79902, USA sug: subj: Research, Medical Research Subjects Help Seeking Behavior Evaluation Patient Attitudes Evaluation Sociodemographic Factors Human Cross Sectional Studies Descriptive Statistics Data Analysis Software Logistic Regression Confidence Intervals Odds Ratio Male Female Adult Middle Age Aged Aged, 80 and Over Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Background/Objectives: This study examined the reasons and sociodemographic drivers behind delays in seeking medical care among participants in the All of Us Research Program. Methods: A cross-sectional study was conducted using data collected between 2018 and 2024. The primary outcome was the prevalence of reasons for delayed medical care (DMC). Descriptive statistics were used to calculate the prevalence of the various reported reasons for delayed medical care. Binary logistic regression was applied to examine the association between sociodemographic characteristics and each reported reason for delayed medical care. Results: Out of a total of 633,000 All of Us participants, 300,820 participants had complete data on the healthcare utilization and access survey and were eligible for final analysis. The most common reported reasons for DMC were out-of-pocket expenses (16.68%), nervousness about seeing a provider (14.18%), and inability to get time off work (11.04%). Females had significantly higher odds of DMC due to out-of-pocket costs (OR = 1.31, 95% CI: 1.28–1.33). Black (OR = 0.81, 95% CI: 0.78–0.84) and Asian (OR = 0.94, 95% CI: 0.89–0.99) individuals had lower odds of DMC due to out-of-pocket costs. Married individuals had more than twice the odds of DMC due to childcare responsibilities (OR = 2.45, 95% CI: 2.33–2.56). Conclusions: A significant proportion of participants reported DMC due to various reasons, with financial, medical visit anxiety, and work-related reasons being the most common. These findings highlight actionable intervention targets, including nurse-led cost navigation and financial counseling, flexible scheduling/telehealth to reduce work-related delays, and patient-centered communication and outreach strategies to reduce visit-related anxiety and support caregiving and transportation needs. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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