Ann-Marie Rosland, MD, MS, is an Associate Professor of Medicine and a Research Scientist at the VA Center for Health Equity Research and Promotion. She is also Director of the Caring for Complex Chronic Conditions Research Center, which is also on Twitter @ComplexCaring.
Dr. Rosland leads health care research and initiatives aiming to:
- Improve health care and self-management support for diabetes and other chronic conditions
- Mobilize the power of patients' social networks to improve health
- Innovate in care management and coordination for complex patients
- Understand impacts of changes in primary care organization and policy
Dr. Rosland focuses on innovations in care for chronic health conditions and studies health system efforts to improve primary care delivery. Dr. Rosland's work draws on her expertise in health intervention design and evaluation, health behavior change, social and family support, primary care for complex patients, and Participatory Research.
Dr. Rosland is on Twitter! Follow her at @roslandam. Outside of work, she enjoys hiking and camping, and dragging her family to experimental theater.
Education & Training
- MD, Washington University Medical School, 2000
- Residency (Primary Care Internal Medicine), University of Pennsylvania, 2003
- MS (Health and Health Services Research), University of Michigan, 2008
- RWJF Clinical Scholars Program, University of Michigan, 2009
Representative Publications
Rosland AM, Kieffer EC, Tipirneni R, Kullgren JT, Kirch M, Arntson EK, Clark SJ, Lee S, Solway E, Beathard E, Ayanian JZ, Goold SD. Diagnosis and care of chronic health conditions among Medicaid expansion enrollees: a mixed-methods observational study. Journal of General Internal Medicine. 2019;34(11):2549-2558.
This mixed-methods study (including a telephone survey and semi-structured interviews) identified that enrollees with expanded Medicaid coverage commonly reported detection of previously undiagnosed chronic conditions; perceived health status and access improved more often among enrollees with chronic health conditions; and improved access was associated with improved physical and mental health among this vulnerable group.
Rosland AM, Piette JD, Trivedi R, Kerr EA, Stoll S, Tremblay A, Heisler M. Engaging family supporters of adult patients with diabetes to improve clinical and patient-centered outcomes: study protocol for a randomized controlled trial. Trials. 2018;19(1):394.
This trial tests a strategy to strengthen the capacity of family supporters to help adults with high-risk diabetes engage in healthcare, successfully enact care plans, and lower risk of diabetes complications.
Rosland AM, Wong E, Maciejewski M, Zulman D, Piegari R, Fihn S, Nelson K. Patient-centered medical home implementation and improved chronic disease quality: a longitudinal observational study. Health Services Research. 2018;53(4):2503-2522.
Clinic-level longitudinal observational study of clinics that received training and resources to implement the patient-centered medical home initiative found that Veterans Health Administration primary care clinics with the most patient-centered medical home initiative components in place in 2012 had greater improvements in several chronic disease quality measures in 2009-2013 than the lowest clinics.
Rosland AM, Kieffer E, Spencer M, Sinco B, Palmisano G, Valerio M, Nicklett E, Heisler M. Do pre-existing diabetes social support or depressive symptoms influence the effectiveness of a diabetes management intervention? Patient Education and Counseling. 2015;98(11):1402-1409.
An intervention trial found that participants starting with more support for diabetes management from family and friends improved Hemoglobin A1c significantly more over 6 months than those with less support, independent of additional significant diabetes self-management education and support intervention-associated Hemoglobin A1c improvements.
Click here for a more complete bibliography of Dr. Rosland’s works.
Research Interests
- Complex chronic disease management
- Family and social support
- Multi-disciplinary primary care models
- Data-driven complex patient management tools