Your browser doesn't support javascript.
loading
Promoting equity in clinical research: The role of social determinants of health.
Idnay, Betina; Fang, Yilu; Stanley, Edward; Ruotolo, Brenda; Chung, Wendy K; Marder, Karen; Weng, Chunhua.
Afiliación
  • Idnay B; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
  • Fang Y; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
  • Stanley E; Compliance Applications, Information Technology, Columbia University, New York, NY, USA.
  • Ruotolo B; Institutional Review Board for Human Subjects Research, Columbia University, New York, NY, USA.
  • Chung WK; Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.
  • Marder K; Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
  • Weng C; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA. Electronic address: cw2384@cumc.columbia.edu.
J Biomed Inform ; 156: 104663, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38838949
ABSTRACT

OBJECTIVE:

This study aims to investigate the association between social determinants of health (SDoH) and clinical research recruitment outcomes and recommends evidence-based strategies to enhance equity. MATERIALS AND

METHODS:

Data were collected from the internal clinical study manager database, clinical data warehouse, and clinical research registry. Study characteristics (e.g., study phase) and sociodemographic information were extracted. Median neighborhood income, distance from the study location, and Area Deprivation Index (ADI) were calculated. Mixed effect generalized regression was used for clustering effects and false discovery rate adjustment for multiple testing. A stratified analysis was performed to examine the impact in distinct medical departments.

RESULTS:

The study sample consisted of 3,962 individuals, with a mean age of 61.5 years, 53.6 % male, 54.2 % White, and 49.1 % non-Hispanic or Latino. Study characteristics revealed a variety of protocols across different departments, with cardiology having the highest percentage of participants (46.4 %). Industry funding was the most common (74.5 %), and digital advertising and personal outreach were the main recruitment methods (58.9 % and 90.8 %).

DISCUSSION:

The analysis demonstrated significant associations between participant characteristics and research participation, including biological sex, age, ethnicity, and language. The stratified analysis revealed other significant associations for recruitment strategies. SDoH is crucial to clinical research recruitment, and this study presents evidence-based solutions for equity and inclusivity. Researchers can tailor recruitment strategies to overcome barriers and increase participant diversity by identifying participant characteristics and research involvement status.

CONCLUSION:

The findings highlight the relevance of clinical research inequities and equitable representation of historically underrepresented populations. We need to improve recruitment strategies to promote diversity and inclusivity in research.
Asunto(s)
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Investigación Biomédica / Determinantes Sociales de la Salud Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Investigación Biomédica / Determinantes Sociales de la Salud Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos