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Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis
BACKGROUND: It is important to monitor the scope of clinical research of all types, to involve participants of all ages and subgroups in studies that are appropriate to their condition, and to ensure equal access and broad validity of the findings. OBJECTIVE: We conducted a review of clinical resear...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477669/ https://www.ncbi.nlm.nih.gov/pubmed/32831180 http://dx.doi.org/10.2196/12813 |
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author | Langford, Aisha Sherman, Scott Thornton, Rachel Nightingale, Kira Kwon, Simona Chavis-Keeling, Deborah Link, Nathan Cronstein, Bruce Hochman, Judith Trachtman, Howard |
author_facet | Langford, Aisha Sherman, Scott Thornton, Rachel Nightingale, Kira Kwon, Simona Chavis-Keeling, Deborah Link, Nathan Cronstein, Bruce Hochman, Judith Trachtman, Howard |
author_sort | Langford, Aisha |
collection | PubMed |
description | BACKGROUND: It is important to monitor the scope of clinical research of all types, to involve participants of all ages and subgroups in studies that are appropriate to their condition, and to ensure equal access and broad validity of the findings. OBJECTIVE: We conducted a review of clinical research performed at New York University with the following objectives: (1) to determine the utility of institutional administrative data to characterize clinical research activity; (2) to assess the inclusion of special populations; and (3) to determine if the type, initiation, and completion of the study differed by age. METHODS: Data for all studies that were institutional review board–approved between January 1, 2014, and November 2, 2016, were obtained from the research navigator system, which was launched in November 2013. One module provided details about the study protocol, and another module provided the characteristics of individual participants. Research studies were classified as observational or interventional. Descriptive statistics were used to assess the characteristics of clinical studies across the lifespan, by type, and over time. RESULTS: A total of 22%-24% of studies included children (minimum age <18 years) and 4%-5% focused exclusively on pediatrics. Similarly, 64%-72% of studies included older patients (maximum age >65 years) but only 5%-12% focused exclusively on geriatrics. Approximately 85% of the studies included both male and female participants. Of the remaining studies, those open only to girls or women were approximately 3 times as common as those confined to boys or men. A total of 56%-58% of projects focused on nonvulnerable patients. Among the special populations studied, children (12%-15%) were the most common. Noninterventional trial types included research on human data sets (24%), observational research (22%), survey research (16%), and biospecimen research (8%). The percentage of projects designed to test an intervention in a vulnerable population increased from 17% in 2014 to 21% in 2015. CONCLUSIONS: Pediatric participants were the special population that was most often studied based on the number of registered projects that included children and adolescents. However, they were much less likely to be successfully enrolled in research studies compared with adults older than 65 years. Only 20% of the studies were interventional, and 20%-35% of participants in this category were from vulnerable populations. More studies are exclusively devoted to women’s health issues compared with men’s health issues. |
format | Online Article Text |
id | pubmed-7477669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74776692020-10-02 Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis Langford, Aisha Sherman, Scott Thornton, Rachel Nightingale, Kira Kwon, Simona Chavis-Keeling, Deborah Link, Nathan Cronstein, Bruce Hochman, Judith Trachtman, Howard JMIR Public Health Surveill Original Paper BACKGROUND: It is important to monitor the scope of clinical research of all types, to involve participants of all ages and subgroups in studies that are appropriate to their condition, and to ensure equal access and broad validity of the findings. OBJECTIVE: We conducted a review of clinical research performed at New York University with the following objectives: (1) to determine the utility of institutional administrative data to characterize clinical research activity; (2) to assess the inclusion of special populations; and (3) to determine if the type, initiation, and completion of the study differed by age. METHODS: Data for all studies that were institutional review board–approved between January 1, 2014, and November 2, 2016, were obtained from the research navigator system, which was launched in November 2013. One module provided details about the study protocol, and another module provided the characteristics of individual participants. Research studies were classified as observational or interventional. Descriptive statistics were used to assess the characteristics of clinical studies across the lifespan, by type, and over time. RESULTS: A total of 22%-24% of studies included children (minimum age <18 years) and 4%-5% focused exclusively on pediatrics. Similarly, 64%-72% of studies included older patients (maximum age >65 years) but only 5%-12% focused exclusively on geriatrics. Approximately 85% of the studies included both male and female participants. Of the remaining studies, those open only to girls or women were approximately 3 times as common as those confined to boys or men. A total of 56%-58% of projects focused on nonvulnerable patients. Among the special populations studied, children (12%-15%) were the most common. Noninterventional trial types included research on human data sets (24%), observational research (22%), survey research (16%), and biospecimen research (8%). The percentage of projects designed to test an intervention in a vulnerable population increased from 17% in 2014 to 21% in 2015. CONCLUSIONS: Pediatric participants were the special population that was most often studied based on the number of registered projects that included children and adolescents. However, they were much less likely to be successfully enrolled in research studies compared with adults older than 65 years. Only 20% of the studies were interventional, and 20%-35% of participants in this category were from vulnerable populations. More studies are exclusively devoted to women’s health issues compared with men’s health issues. JMIR Publications 2020-08-24 /pmc/articles/PMC7477669/ /pubmed/32831180 http://dx.doi.org/10.2196/12813 Text en ©Aisha Langford, Scott Sherman, Rachel Thornton, Kira Nightingale, Simona Kwon, Deborah Chavis-Keeling, Nathan Link, Bruce Cronstein, Judith Hochman, Howard Trachtman. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 24.08.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Langford, Aisha Sherman, Scott Thornton, Rachel Nightingale, Kira Kwon, Simona Chavis-Keeling, Deborah Link, Nathan Cronstein, Bruce Hochman, Judith Trachtman, Howard Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis |
title | Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis |
title_full | Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis |
title_fullStr | Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis |
title_full_unstemmed | Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis |
title_short | Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis |
title_sort | profiling clinical research activity at an academic medical center by using institutional databases: content analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477669/ https://www.ncbi.nlm.nih.gov/pubmed/32831180 http://dx.doi.org/10.2196/12813 |
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