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Nevin Manimala Statistics

Predictors of Participation in Clinical Research

Nurs Res. 2021 Mar 22. doi: 10.1097/NNR.0000000000000513. Online ahead of print.

ABSTRACT

BACKGROUND: Despite numerous efforts to create more equitable health care systems, minority populations face long-standing health disparities compared to White populations. Health care research is the necessary foundation for creating equitable health systems and providing patient-centered care. Significant challenges exist, however, with recruiting and engaging underrepresented populations in clinical research.

OBJECTIVES: The purpose of this analysis was to determine how research participant race, trust, and level of education influence participation barriers in clinical research.

METHODS: The study used secondary, cross-sectional survey data that were collected between 2014 and 2016 through the former Mid-South Clinical Data Research Network (CDRN), currently known as the STAR-CRN. Descriptive statistics and Spearman rank correlations were performed between level of education, level of trust, and each attitude statement for each racial category.

RESULTS: A total of 2,190 survey responses were used in the data analysis. The mean age of respondents was 52 years with majority being female, White, insured, and working full time. Overall, the respondents had favorable attitudes towards research participation. Trust was correlated with agreement in many attitude statements for both White and African American respondents, while correlations with education level were more variable depending on racial grouping. Trust level was negatively associated with agreement towards the statement “researchers don’t care about me” in White and Native American respondents.

DISCUSSION: The results support the importance of trust to research participation. Generally, education level was not strongly predictive of research participation, although prediction was influenced by race and attitude.

PMID:33883501 | DOI:10.1097/NNR.0000000000000513

By Nevin Manimala

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