YOUTUBE HYPERRESEARCH SOFTWARE

All qualitative software can assist the researcher in organizing the data however, the software will not analyze the data for you.Īs a start, we encourage researchers to select a product by considering the following features: It is important to note that the selected software are only a few options that are available in the field today. We provide a comparison of a few possible options below.

Researchers should examine the limits and functionality, as well as cost, of multiple products as they make a decision. Qualitative data analysis software products vary and researchers should consider what product features are needed to support their particular study design. This page focuses on qualitative data analysis software used in research studies. Providers must improve understanding of intersectional experiences of TPOC to improve quality of care.While the University does not endorse any one vendor or product, we have worked with our researchers to identify features and functionality to consider when making a choice. TPOC have different experiences compared with white transgender or cisgender racial/ethnic minorities. When describing positive healthcare experiences, participants were most likely to highlight providers’ respect for their gender identity. A minority of participants expressed a preference for providers of color but a few reported reluctance to reveal their gender identity to providers of their own race due to fear of transphobia. A majority of participants sought out healthcare locations designated as lesbian, gay, bisexual, and transgender (LGBT)-friendly in an effort to avoid discrimination, but feared experiencing racism there. Participants commonly cited providers’ assumptions about TPOC as a pivotal factor in negative experiences.

A majority of participants believed they would be treated better if they were cisgender or white. The quantitative survey data captured participants’ demographics and past healthcare experiences, and were analyzed with descriptive statistics.Īll participants described healthcare experiences where providers responded negatively to their race/ethnicity and/or gender identity. At least two reviewers independently coded each transcript using a codebook of themes created following grounded theory methodology. The interviews and focus groups were audio recorded, transcribed verbatim, and imported into HyperRESEARCH software. Interviews and focus groups covered healthcare experiences, and how these were shaped by gender identity and/or race/ethnicity. All participants completed a quantitative survey (n = 39). Semi-structured, in-depth individual interviews (n = 22) and focus groups (2 n = 17 total) all taken from a sample of TPOC from the Chicago area. To investigate how TPOC healthcare experiences are shaped by both race/ethnicity and gender identity. However, little is known about the healthcare experiences of transgender people of color (TPOC), who are both transgender and racial/ethnic minorities. Transgender people and racial/ethnic minorities separately report poor healthcare experiences.

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