H
Haiden A. Huskamp
Researcher at Harvard University
Publications - 254
Citations - 9672
Haiden A. Huskamp is an academic researcher from Harvard University. The author has contributed to research in topics: Health care & Mental health. The author has an hindex of 39, co-authored 221 publications receiving 7722 citations. Previous affiliations of Haiden A. Huskamp include Boston University & National Bureau of Economic Research.
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Journal ArticleDOI
Health Care Costs in the Last Week of Life Associations With End-of-Life Conversations
Baohui Zhang,Alexi A. Wright,Haiden A. Huskamp,Matthew Nilsson,Matthew L. Maciejewski,Craig C. Earle,Susan D. Block,Paul K. Maciejewski,Holly G. Prigerson +8 more
TL;DR: Patients with advanced cancer who reported having EOL conversations with physicians had significantly lower health care costs in their final week of life, and higher costs were associated with worse quality of death.
Journal ArticleDOI
Associations Between End-of-Life Discussion Characteristics and Care Received Near Death: A Prospective Cohort Study
Jennifer W. Mack,Angel M. Cronin,Nancy L. Keating,Nathan Taback,Haiden A. Huskamp,Jennifer Malin,Craig C. Earle,Jane C. Weeks +7 more
TL;DR: Early EOL discussions are prospectively associated with less aggressive care and greater use of hospice at EOL, and such patients were also more likely to receive hospice care.
Journal ArticleDOI
Cost Sharing and Adherence to Tyrosine Kinase Inhibitors for Patients With Chronic Myeloid Leukemia
TL;DR: A critical need to reduce patient costs for TKI adherence and discontinuation is suggested, as patients with higher copayments are more likely to discontinue or be nonadherent to TKIs.
Journal ArticleDOI
The Effect of Incentive-Based Formularies on Prescription-Drug Utilization and Spending
Haiden A. Huskamp,Patricia A. Deverka,Arnold M. Epstein,Robert Epstein,Kimberly A. McGuigan,Richard G. Frank +5 more
TL;DR: Different changes in formulary administration may have dramatically different effects on utilization and spending and may in some instances lead enrollees to discontinue therapy.
Journal ArticleDOI
Using propensity scores in difference-in-differences models to estimate the effects of a policy change
Elizabeth A. Stuart,Haiden A. Huskamp,Kenneth Duckworth,Jeffrey Simmons,Zirui Song,Michael E. Chernew,Colleen L. Barry +6 more
TL;DR: The use of propensity scores in conjunction with DD models are described, in particular investigating a propensity score weighting strategy that weights the four groups to be balanced on a set of characteristics to deal with confounding.