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Published in: Journal of General Internal Medicine 7/2014

01-07-2014 | Letter to the Editor

SMART Designs in Observational Studies

Authors: Jeffrey F. Scherrer, Ph.D, Sumitra Balasubramanian, MS, Kenneth E. Freedland, PhD, Patrick J. Lustman, Ph.D.

Published in: Journal of General Internal Medicine | Issue 7/2014

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Excerpt

To the Editor— We appreciate Jackson and Gagne’s1 enthusiasm for our recent study demonstrating that chronic opioid analgesic use (OAU) is significantly associated with risk of depression.2 We agree that utilizing medical record databases to inform clinical practice is possible. Their insights highlighted methodological challenges in studying opioid use and incident depression. …
Literature
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go back to reference Jackson JW, Gagne JJ. SMART designs in observational studies of opioid therapy duration. J Gen Intern Med. 2014;29:429–31.PubMedCrossRef Jackson JW, Gagne JJ. SMART designs in observational studies of opioid therapy duration. J Gen Intern Med. 2014;29:429–31.PubMedCrossRef
2.
go back to reference Scherrer JF, Svrakic DM, Freedland KE, Chrusciel T, Balasubramanian S, Bucholz KK, Lawler EV, Lustman PJ. Prescription opioid analgesics increase risk of depression. J Gen Intern Med. 2014;29:491–9.PubMedCrossRef Scherrer JF, Svrakic DM, Freedland KE, Chrusciel T, Balasubramanian S, Bucholz KK, Lawler EV, Lustman PJ. Prescription opioid analgesics increase risk of depression. J Gen Intern Med. 2014;29:491–9.PubMedCrossRef
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go back to reference Townsend L, Walkup JT, Crystal S, Olfson M. A systematic review of validated methods for identifying depression using administrative data. Pharmacoepidemiol Drug Saf. 2012;21:163–73.PubMedCrossRef Townsend L, Walkup JT, Crystal S, Olfson M. A systematic review of validated methods for identifying depression using administrative data. Pharmacoepidemiol Drug Saf. 2012;21:163–73.PubMedCrossRef
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go back to reference Frayne SM, Miller DR, Sharkansky EJ, Jackson VW, Wang F, Halanych JH, Berlowitz DR, Kader B, Rosen CS, Keane TM. Using administrative data to identify mental illness: what approach is best? Am J Med Qual. 2010;25(1):42–50.PubMedCrossRef Frayne SM, Miller DR, Sharkansky EJ, Jackson VW, Wang F, Halanych JH, Berlowitz DR, Kader B, Rosen CS, Keane TM. Using administrative data to identify mental illness: what approach is best? Am J Med Qual. 2010;25(1):42–50.PubMedCrossRef
Metadata
Title
SMART Designs in Observational Studies
Authors
Jeffrey F. Scherrer, Ph.D
Sumitra Balasubramanian, MS
Kenneth E. Freedland, PhD
Patrick J. Lustman, Ph.D.
Publication date
01-07-2014
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 7/2014
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-014-2859-0

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