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Case example of a jail-based cancer prevention clinical trial: Social determinants of health framework, novel experimental design, and retention strategies to facilitate long-term follow-up of clinical trial participants

Published online by Cambridge University Press:  23 June 2023

Pablo Kennedy
Affiliation:
University of Kansas School of Medicine, Kansas City, KS, USA
Rubina Ratnaparkhi
Affiliation:
University of Kansas School of Medicine, Kansas City, KS, USA
Jaehoon Lee
Affiliation:
Texas Tech University, Lubbock, TX, USA
Jason E. Glenn
Affiliation:
University of Kansas School of Medicine, Kansas City, KS, USA
Patricia J. Kelly
Affiliation:
University of Missouri Kansas City, Kansas City, MO, USA
Kim S. Kimminau
Affiliation:
University of Kansas School of Medicine, Kansas City, KS, USA
Stephanie Assimonye
Affiliation:
University of Kansas School of Medicine, Kansas City, KS, USA
Megha Ramaswamy*
Affiliation:
University of Kansas School of Medicine, Kansas City, KS, USA
*
Corresponding author: M. Ramaswamy, MPH, PhD; Email: drmegha@uw.edu
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Abstract

Clinical trials conducted with incarcerated populations are rare. We present a case example of one such jail-based cancer prevention clinical trial to demonstrate the importance of including a theory-driven approach to intervention framing, novel experimental designs to boost access to low-risk trials, and retention strategies for long-term follow-up of hard-to-reach populations. As such we offer a social determinant of health framework to ensure cancer prevention research is conducted through the lenses of health promotion and health equity. Deviations from the gold-standard randomized control design, transparent systematic allotment, and street-based outreach retention strategies contribute to the feasibility of conducting clinical trials in carceral settings and after people leave jail. Best practices presented can be used in design and conduct of future clinical trials with criminal legal system-involved populations.

Information

Type
Translational Science Case Study
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science
Figure 0

Figure 1. Women’s health literacy scores preintervention, postintervention, and at year 3 (n = 111).Note. the value at the “post” point is the p-value of test for comparing preintervention vs. postintervention; the upper and lower values at the “year 3” point are the p-values of test for comparing preintervention vs. year 3 and comparing postintervention vs. year 3, respectively. p values less than 0.05 are in boldface.

Figure 1

Figure 2. WHO social determinants of health (SDOH) conceptual framework with relevant study variables and covariates mapped (red text) to corresponding domain.

Figure 2

Figure 3. Proportion of up-to-date Pap screening preintervention (n = 261) and at year 3 (n = 111).Note. the value at the “year 3” point is the p-value of test for comparing preintervention vs. year 3. p values less than 0.05 are in boldface.

Figure 3

Table 1. WHO based determinants of health for those who were retained at year 3 versus those who were lost to follow-up