Abstract
The integration of original data from multiple antiretroviral (ARV) adherence studies offers a promising, but little used
method to generate evidence to advance the field. This paper provides an overview of the design and implementation of MACH14,
a collaborative, multi-site study in which a large data system has been created for integrated analyses by pooling original
data from 16 longitudinal ARV adherence studies. Studies selected met specific criteria including similar research design
and data domains such as adherence measured with medication event monitoring system, psychosocial factors related to adherence
behavior, and virologic and clinical outcomes. The data system created contains individual data (collected between 1997 and
2009) from 2,860 HIV patients. Collaboration helped resolve the challenges inherent in pooling data across multiple studies,
yet produced a data system with strong statistical power and potentially greater capacity to address key scientific questions
than possible with single-sample studies or even meta-analytic designs.
method to generate evidence to advance the field. This paper provides an overview of the design and implementation of MACH14,
a collaborative, multi-site study in which a large data system has been created for integrated analyses by pooling original
data from 16 longitudinal ARV adherence studies. Studies selected met specific criteria including similar research design
and data domains such as adherence measured with medication event monitoring system, psychosocial factors related to adherence
behavior, and virologic and clinical outcomes. The data system created contains individual data (collected between 1997 and
2009) from 2,860 HIV patients. Collaboration helped resolve the challenges inherent in pooling data across multiple studies,
yet produced a data system with strong statistical power and potentially greater capacity to address key scientific questions
than possible with single-sample studies or even meta-analytic designs.
- Content Type Journal Article
- Category Original Paper
- Pages 1-15
- DOI 10.1007/s10461-012-0272-4
- Authors
- Honghu Liu, Division of Public Health and Community Dentistry, School of Dentistry, University of California, Los Angeles, CA, USA
- Ira B. Wilson, Public Health Program, Warren Alpert School of Medicine, Brown University, Providence, RI, USA
- Kathy Goggin, Department of Psychology, University of Missouri – Kansas City, Kansas, MO, USA
- Nancy Reynolds, School of Nursing, Yale University, New Haven, CT, USA
- Jane M. Simoni, Department of Psychology, University of Washington, Seattle, WA, USA
- Carol E. Golin, School of Medicine, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Marc I. Rosen, School of Medicine, Yale University, New Haven, CT, USA
- Robert Gross, Epidemiology Center for Clinical Epidemiology and Biostatistics, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Glenn Wagner, RAND Corporation, Bethel, CT, USA
- Robert H. Remien, HIV Center for Clinical and Behavioral Studies, New York State Psychiatric Institute and Columbia University, New York, NY, USA
- Neil Schneiderman, Department of Psychology, University of Miami, Coral Gables, FL, USA
- Judith A. Erlen, Department of Health and Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
- Julia H. Arnsten, Departments of Medicine, Psychiatry, and Epidemiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA
- David R. Bangsberg, Ragon Institute of MGH, MIT and Harvard, Massachusetts General Hospital Center for Global Health, Harvard Medical School, Boston, MA, USA
- Journal AIDS and Behavior
- Online ISSN 1573-3254
- Print ISSN 1090-7165