Examining Participation Disparities in Cancer Clinical Trials.
OBJECTIVES: To examine factors that account for disparities in cancer clinical trial participation. SAMPLE & SETTING: Pooled data from Behavioral Risk Factor Surveillance System surveys between 2010 and 2017. METHODS & VARIABLES: Univariate and binary logistic regression analyses were used to examin...
| Publicado en: | Oncology Nursing Forum Vol. 50; no. 1; pp. 79 - 90 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oncology Nursing Society
Jan2023
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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=160912042&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160912042 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0190535X 4F0 jtl: Oncology Nursing Forum issn: 0190535X maglogo: N pubinfo: dt: Jan2023 vid: 50 iid: 1 pid: 12496 pub: Oncology Nursing Society place: Pittsburgh, Pennsylvania artinfo: ui: 160912042 160912042 160912042 10.1188/23.ONF.79-89 160912042 ppf: 79 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Examining Participation Disparities in Cancer Clinical Trials. aug: au: Moore, Ami R. Lewis, Taylor Hudson Abah, Theresa Celebi, Mehmet Amey, Foster K. affil: Associate Professor And Director Of The Public Health Undergraduate Program In The College Of Health And Public Service At The University Of North Texas In Denton. sug: subj: Socioeconomic Factors Age Factors Race Factors Healthcare Disparities Research Subject Recruitment Oncologic Care Clinical Trials Human Univariate Statistics Logistic Regression Income Health Status Self Report Middle Age Aged Aged, 80 and Over Male Female United States Descriptive Statistics Confidence Intervals Data Analysis Software Odds Ratio Clinical Assessment Tools Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: OBJECTIVES: To examine factors that account for disparities in cancer clinical trial participation. SAMPLE & SETTING: Pooled data from Behavioral Risk Factor Surveillance System surveys between 2010 and 2017. METHODS & VARIABLES: Univariate and binary logistic regression analyses were used to examine the associations between participation in clinical trials and demographic and health characteristics, using SAS® procedures to account for complex sample features. RESULTS: Univariate analyses showed that age, race, income, and self-rated health status were significantly associated with the likelihood of participating in cancer clinical trials. Binary logistic analyses showed that Black respondents who were ever diagnosed with cancer were more likely to participate in cancer clinical trials relative to White counterparts. Respondents aged 50–64 years were more likely to have participated in cancer clinical trials compared to those aged 65 years or older. However, respondents who self-rated their health as excellent or very good were less likely to participate in cancer clinical trials. IMPLICATIONS FOR NURSING: Involving properly trained nurses and nurse practitioners from diverse backgrounds in cancer clinical trials to inform people with cancer about trials and ways to reduce personal barriers will increase participation from all people, regardless of socioeconomic and demographic characteristics. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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