I am an epidemiologist and junior faculty member in the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham & Women's Hospital, and Instructor in Medicine at Harvard Medical School. My long term goal is to establish a career as an independent investigator in psychiatric pharmacoepidemiology. As new mental health products move from the highly-controlled pre-marketing setting into clinical practice, comparative safety and effectiveness information is required to inform optimal prescribing and policy decisions. Phase 3 trials usually do not provide sufficient evidence to inform these decisions due to their relatively narrow focus on efficacy defined as statistical superiority over placebo. Observational studies using electronic health- care data play a critical role in generating comparative information in routine care, but are typically conducted long after a drug has entered the market, and therefore can fail to identify serious safety issues in the early marketing experience. Prospective monitoring of medical products starting at the time of market entry offers a promising complementary approach to detect concerns as early as possible. Development of methods for use in a prospective monitoring framework for mental health applications is largely uncharted territory. The goal of the proposed research is to develop improved methods for understanding the comparative safety and effectiveness of new psychiatric medications, and is aligned with the priorities of Strategic Objective 3 in the NIMH Strategic Plan. In addition to pursuing training in mental health through coursework, hands-on experience, and close mentoring by a psychiatrist, I will pursue the following research aims:
Aim 1 : To implement our available monitoring system prototype, and study its applicability to the special characteristics of prescription drugs used in patients with psychiatric illness, using empirical examples.
Aim 2 : To customize the monitoring system to the methodological challenges that are specific to comparative research in mental health, in particular the study of drug-drug interactions and the use of disease risk scores and instrumental variables to mitigate confounding by measured and unmeasured factors.
Aim 3 : To explore the feasibility of using electronic medical records and natural language processing analysis to better capture mental health outcomes which are particularly difficult to identify using administrative data codes and to improve confounding control.
Aim 4 : To implement the new customized system and prospectively monitor the safety of selected mental health treatments newly marketed during the funding period as data accumulate in ear-real-time. Better detection of safety concerns early in the life cycle of mental health drugs is of great public health importance as it may expedite drug approval and make prescribers more comfortable using new drugs by providing a mechanism for ongoing post-marketing safety monitoring. It will also improve the evidence base for mental health providers, and help to contain use of medications with less favorable risk-benefit relations.

Public Health Relevance

There is a critical need for comparative safety and effectiveness information for medical products soon after market entry to ensure safety alerts are raised as early as possible, and to inform prescribing and policy decisions. We will develop, adapt and rigorously validate different approaches for near-real-time monitoring and methods to address confounding and outcome misclassification that accommodate methodological issues arising from the specific needs and circumstances of people with mental illness. As such, this work will lay the foundation for establishing a successful prospective monitoring system optimally calibrated for use with mental health products and in mental health populations.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Scientist Development Award - Research & Training (K01)
Project #
5K01MH099141-03
Application #
8857265
Study Section
Mental Health Services Research Committee (SERV)
Program Officer
Hill, Lauren D
Project Start
2013-08-01
Project End
2016-05-31
Budget Start
2015-06-01
Budget End
2016-05-31
Support Year
3
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
Huybrechts, Krista F; Bröms, Gabriella; Christensen, Lotte Brix et al. (2018) Association Between Methylphenidate and Amphetamine Use in Pregnancy and Risk of Congenital Malformations: A Cohort Study From the International Pregnancy Safety Study Consortium. JAMA Psychiatry 75:167-175
Huybrechts, Krista F; Gopalakrishnan, Chandrasekar; Franklin, Jessica M et al. (2018) Claims Data Studies of Direct Oral Anticoagulants Can Achieve Balance in Important Clinical Parameters Only Observable in Electronic Health Records. Clin Pharmacol Ther :
Huybrechts, Krista F; Hernández-Díaz, Sonia; Straub, Loreen et al. (2018) Association of Maternal First-Trimester Ondansetron Use With Cardiac Malformations and Oral Clefts in Offspring. JAMA 320:2429-2437
Hernandez-Diaz, Sonia; Huybrechts, Krista F; Desai, Rishi J et al. (2018) Topiramate use early in pregnancy and the risk of oral clefts: A pregnancy cohort study. Neurology 90:e342-e351
Rough, Kathryn; Huybrechts, Krista F; Hernandez-Diaz, Sonia et al. (2018) Using prescription claims to detect aberrant behaviors with opioids: comparison and validation of 5 algorithms. Pharmacoepidemiol Drug Saf :
Park, Yoonyoung; Bateman, Brian T; Kim, Dae Hyun et al. (2018) Use of haloperidol versus atypical antipsychotics and risk of in-hospital death in patients with acute myocardial infarction: cohort study. BMJ 360:k1218
Kim, Dae Hyun; Mahesri, Mufaddal; Bateman, Brian T et al. (2018) Longitudinal Trends and Variation in Antipsychotic Use in Older Adults After Cardiac Surgery. J Am Geriatr Soc 66:1491-1498
Park, Yoonyoung; Hernandez-Diaz, Sonia; Bateman, Brian T et al. (2018) Continuation of Atypical Antipsychotic Medication During Early Pregnancy and the Risk of Gestational Diabetes. Am J Psychiatry 175:564-574
Ripollone, John E; Huybrechts, Krista F; Rothman, Kenneth J et al. (2018) Implications of the Propensity Score Matching Paradox in Pharmacoepidemiology. Am J Epidemiol 187:1951-1961
Prabhu, Malavika; Garry, Elizabeth M; Hernandez-Diaz, Sonia et al. (2018) Frequency of Opioid Dispensing After Vaginal Delivery. Obstet Gynecol 132:459-465

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