Lidia Maria Veras Rocha de Moura, MD, MPH

2017 DICP Faculty Fellowship Recipient

Lidia Maria Veras Rocha de Moura, MD, MPH, Assistant Professor, Harvard Medical School, Department of Neurology, Massachusetts General Hospital

Mentor: John Hsu, MD, Associate Professor of Medicine, Department of Medicine, Associate Professor of Health Policy, Department of Health Care Policy, Harvard Medical School; Massachusetts General Hospital

Co-Mentor: Lee H. Schwamm, MD, FAHA, Professor of Neurology, Harvard Medical School; Executive Vice Chairman, Neurology Department, Massachusetts General Hospital

Department Chief: Merit E. Cudkowicz, MD, MSc, Julieanne Dorn Professor of Neurology, Harvard Medical School; Chief, Department of Neurology, Massachusetts General Hospital

Project Title:“Prescribing Quality in Older Adults with Risk Factors for Seizures”


Project Description:

Anticonvulsants are among the most commonly prescribed drugs in older adults and unfortunately there is limited information regarding when and how physicians should prescribe it, while accounting for the chance of provoking adverse effects. This program will explore prescribing patterns in older patients with and without seizures (e.g., after a head trauma or a stroke) and examine the associations between measures of anticonvulsant use and a range of outcomes, including drug side effects and loss of independence.       

                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           I have three research aims to: (1) validate measures of anticonvulsant drug indications, use, and related outcomes using individual-level linked electronic health records and Medicare claims; (2) assess anticonvulsant prophylaxis in Medicare programs; and (3) assess the association between the validated prescribing measures and clinical events. I will utilize advanced statistical modeling to address the challenges posed by comparative effectiveness research applied to geriatric neurology under the guidance of biostatisticians and epidemiologists. I will develop expertise in pharmacoepidemiology, causal inference and comparative-effectiveness analysis. These activities will help me develop interventions to improve safety with respect to anti-seizure prophylaxis among vulnerable populations in the second year of the award period (R01 application).


The long-term goal of this program is to help me become an independent investigator with expertise in clinical and population research, with the necessary skills needed to conduct high impact research projects for older patients with multiple medical conditions. This award will begin to fill the unmet public health need for evidence of safe, effective, and person-centered treatments in geriatric neurology.



Lidia Moura, MD, MPH is a neurologist and health services researcher in the Department of Neurology at the Massachusetts General Hospital (MGH). Her studies primarily combine the use of medical records, registries, patient-centered surveys and large automated data sets to assess care quality and efficiency in neurology. She received her MD degree from the Catholic University of Medicine in Brasilia, Brazil. She completed her residency training in Neurology at the State University of Rio de Janeiro, in Brazil. At the MGH, she completed a research fellowship in clinical trials, a two-year clinical fellowship in Clinical Neurophysiology and Epilepsy, and a one-year clinical fellowship in Advanced General Neurology to focus on the care of vulnerable patients with complex neurological needs. She also holds a Master’s Degree in Public Health from the Harvard T.H. Chan School of Public Health. In recognition of the impact of her projects, she has been honored by the MGH Center of Expertise in Quality and Safety, the American Clinical Neurophysiology Society, the Grass Foundation, the Partners HealthCare President, the American Academy of Neurology, and the Harvard Catalyst program.