J
Jennifer Tjia
Researcher at University of Massachusetts Medical School
Publications - 144
Citations - 4316
Jennifer Tjia is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Health care & Medicine. The author has an hindex of 28, co-authored 129 publications receiving 3613 citations. Previous affiliations of Jennifer Tjia include Leonard Davis Institute of Health Economics & University of Pennsylvania.
Papers
More filters
Journal ArticleDOI
Depressed medical students' use of mental health services and barriers to use.
Jane L. Givens,Jennifer Tjia +1 more
TL;DR: It is demonstrated that depression among medical students may be undertreated and medical schools can assist depressed students by addressing issues such as the stigma of using mental health services, confidentiality, and documentation.
Journal ArticleDOI
Factors associated with undertreatment of medical student depression.
TL;DR: Treatment for depression was significantly associated with older age and personal and family histories of depression, and the need for targeted messages to help medical students recognize their depression and refer themselves for appropriate treatment is supported.
Journal ArticleDOI
A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative data.
Susan E. Andrade,Leslie R. Harrold,Jennifer Tjia,Sarah L. Cutrona,Jane S. Saczynski,Katherine S. Dodd,Robert J. Goldberg,Jerry H. Gurwitz +7 more
TL;DR: A systematic review of the validity of algorithms for identifying cerebrovascular accidents (CVAs) or transient ischemic attacks (TIAs) using administrative and claims data is performed.
Journal ArticleDOI
A systematic review of validated methods for identifying heart failure using administrative data
Jane S. Saczynski,Susan E. Andrade,Leslie R. Harrold,Jennifer Tjia,Sarah L. Cutrona,Katherine S. Dodd,Robert J. Goldberg,Jerry H. Gurwitz +7 more
TL;DR: To identify and describe the validity of algorithms used to detect heart failure using administrative and claims data sources with real-time implications for diagnosis and treatment of HF.
Journal ArticleDOI
Unexplained variation across US nursing homes in antipsychotic prescribing rates.
TL;DR: The NH antipsychotic prescribing rate was independently associated with the use of antipsychotics in NH residents, and future research is needed to determine why such a prescribing culture exists and whether it could result in adverse health consequences.