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Published on: July 27, 2018
Methodological Approaches to Understanding Causes of Health Disparities.
Neal Jeffries1, Alan M Zaslavsky1, Ana V Diez Roux1
1Neal Jeffries is with the National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD. Alan M. Zaslavsky is with the Department of Health Care Policy, Harvard Medical School, Boston, MA. Ana V. Diez Roux is with the Dornsife School of Public Health, Drexel University, Philadelphia, PA. John W. Creswell is with the Department of Family Medicine, University of Michigan, Ann Arbor. Richard C. Palmer, Kelvin Choi, Xinzhi Zhang, and Nancy Breen are with the National Institute on Minority Health and Health Disparities, NIH, Bethesda. Steven E. Gregorich is with the Department of Medicine, University of California, San Francisco. James D. Reschovsky is with Mathematica Policy Research, Washington, DC. Barry I. Graubard and Ruth M. Pfeiffer are with the National Cancer Institute, NIH, Bethesda. Richard C. Palmer and Nancy Breen are also Guest Editors for this supplement issue.
Identifying the root causes of health disparities is complex due to correlated factors and multilevel influences. Advanced research methods, including systems modeling, are crucial for understanding and mitigating these health inequities.
Area of Science:
- Public Health
- Health Disparities Research
- Sociomedical Sciences
Background:
- Health disparities present a significant challenge, with complex and interconnected causal factors.
- Existing research methods struggle to disentangle the multilevel influences contributing to health inequities.
- Understanding the origins of health disparities is essential for developing effective interventions and policies.
Purpose of the Study:
- To highlight the challenges in identifying and addressing the causes of health disparities.
- To propose advanced methodologies for a more comprehensive understanding of health disparities.
- To advocate for the broader adoption of integrated research approaches in health disparities research.
Main Methods:
- Review and synthesis of existing literature on health disparities research methodologies.
- Emphasis on multilevel analytical approaches to capture individual, family, and neighborhood factors.
- Advocacy for complex systems modeling and qualitative methods to address dynamic and intricate relationships.
- Integration of diverse methodologies to overcome limitations of traditional statistical models.
Main Results:
- Health disparities arise from complex, often correlated factors operating at multiple organizational levels.
- Traditional statistical models are often inadequate for capturing the dynamic and feedback-rich processes underlying health disparities.
- A combination of analytic methods, multilevel approaches, systems modeling, and qualitative research is necessary for robust findings.
- Identifying causal pathways requires innovative and integrated research designs.
Conclusions:
- Addressing health disparities necessitates moving beyond traditional research designs.
- The integration of multilevel, systems, and qualitative approaches is critical for advancing health disparities research.
- Broader application and adaptation of these advanced methods will facilitate the identification of effective mitigation strategies.
- A comprehensive understanding of causal factors is a prerequisite for developing impactful policies and interventions to eliminate health inequities.
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