Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Susan, Forrow"'
Autor:
Noelle M. Cocoros, Sheryl A. Kluberg, Sarah J. Willis, Susan Forrow, Bradford D. Gessner, Cameron T. Nutt, Alejandro Cane, Nathan Petrou, Meera Sury, Chanu Rhee, Luis Jodar, Aaron Mendelsohn, Emma R. Hoffman, Robert Jin, John Aucott, Sarah J. Pugh, James H. Stark
Publikováno v:
Emerging Infectious Diseases, Vol 29, Iss 9, Pp 1772-1779 (2023)
Compared with notifiable disease surveillance, claims-based algorithms estimate higher Lyme disease incidence, but their accuracy is unknown. We applied a previously developed Lyme disease algorithm (diagnosis code plus antimicrobial drug prescriptio
Externí odkaz:
https://doaj.org/article/e6ad8c075bc94c469d1679c7c45b717f
Autor:
Young Hee Nam, Sarah J Willis, Aaron B Mendelsohn, Susan Forrow, Bradford D Gessner, James H Stark, Jeffrey S Brown, Sarah Pugh
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0276299 (2022)
Background and objectiveLyme disease (LD) is the fifth most commonly reported notifiable infectious disease in the United States (US) with approximately 35,000 cases reported in 2019 via public health surveillance. However, healthcare claims-based st
Externí odkaz:
https://doaj.org/article/eadc1866f24847e7a63bf5a487359a19
Autor:
Young Hee Nam, Sarah J. Willis, Aaron B. Mendelsohn, Susan Forrow, Bradford D. Gessner, James H. Stark, Jeffrey S. Brown, Sarah Pugh
Publikováno v:
PloS one. 17(10)
Background and objective Lyme disease (LD) is the fifth most commonly reported notifiable infectious disease in the United States (US) with approximately 35,000 cases reported in 2019 via public health surveillance. However, healthcare claims-based s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b67410839622bd338b9ed7fed8e678
https://pubmed.ncbi.nlm.nih.gov/36301959
https://pubmed.ncbi.nlm.nih.gov/36301959
Autor:
Young Hee Nam, Sarah J Willis, Aaron Mendelsohn, Susan Forrow, Jeffrey Brown, Bradford D Gessner, James Stark, Sarah Pugh
Publikováno v:
Open Forum Infectious Diseases. 8:S691-S692
Background Lyme disease (LD) is the fifth most common notifiable disease in the US with 30,000-40,000 LD cases reported annually via public health surveillance. Recent healthcare claims-based studies utilizing case-finding algorithms estimate nationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98f1fa261d5fa6767747aeee7909b403
https://doi.org/10.1093/ofid/ofab466.1392
https://doi.org/10.1093/ofid/ofab466.1392
Autor:
Sarah Foy, Andrew M. Fine, Pamala A. Pawloski, William O. Cooper, Lise E. Nigrovic, Michelle E. Conroy, Azadeh Shoaibi, Mano S. Selvan, Susan Forrow, Meghan A Baker, Kathleen E. Walsh, Susan E. Andrade, Nandini Selvam, Sarah L. Cutrona
Publikováno v:
Pharmacoepidemiology and Drug Safety. 22:1205-1213
Purpose We aim to develop and validate the positive predictive value (PPV) of an algorithm to identify anaphylaxis using health plan administrative and claims data. Previously published PPVs for anaphylaxis using International Classification of Disea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d3574c5cd50eb144fe2beae11181cd2
https://doi.org/10.1002/pds.3505
https://doi.org/10.1002/pds.3505
Autor:
Judith A. Racoosin, Sengwee Toh, Vinit P. Nair, Gregory W. Daniel, Daniel Ng, Denise M. Boudreau, Jerry H. Gurwitz, Aarthi Iyer, Sarah Foy, Melissa G. Butler, Joel M. Gore, Robert J. Goldberg, Sarah L. Cutrona, David D. McManus, Susan Forrow
Publikováno v:
Pharmacoepidemiology and Drug Safety. 22:40-54
Purpose To validate an algorithm based upon International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) codes for acute myocardial infarction (AMI) documented within the Mini-Sentinel Distributed Database (MSDD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee9ba27c7d832b7406f5d9c0c9614cb8
https://doi.org/10.1002/pds.3310
https://doi.org/10.1002/pds.3310
Autor:
Susan Forrow, Lisa J. Herrinton, Melissa A. Robb, Vinit P. Nair, Daniel M. Campion, Richard Platt, Marcus D. Wilson
Publikováno v:
Pharmacoepidemiology and Drug Safety. 21:12-17
The US Food and Drug Administration's Mini-Sentinel pilot program is developing an organizational structure as well as principles and policies to govern its operations. These will inform the structure and function of the eventual Sentinel System. Min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bacebc83523fdb3d6f4a24e753d0eeb2
https://doi.org/10.1002/pds.2242
https://doi.org/10.1002/pds.2242
Autor:
Sarah Foy, Jerry H. Gurwitz, Sarah L. Cutrona, Aarthi Iyer, Robert J. Goldberg, Susan Forrow, Elizabeth Cavagnaro, Sengwee Toh, Judith A. Racoosin
Publikováno v:
Pharmacoepidemiology and Drug Safety. 21:274-281
Purpose To describe the acute myocardial infarction (AMI) validation project, a test case for health outcome validation within the US Food and Drug Administration–funded Mini-Sentinel pilot program. Methods The project consisted of four parts: (i)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::205f43dd6faa422564a5182193b0c980
https://doi.org/10.1002/pds.2314
https://doi.org/10.1002/pds.2314
Autor:
Sarah L. Cutrona, Susan Forrow, Susan Andrade, Nandini Selvam, Kathleen E. Walsh, Meghan A Baker, Pamala A. Pawloski, Jerald E. Mullersman, Azadeh Shoaibi
Background/AimsFew published studies have evaluated the validity of health plan administrative and claims data to identify anaphylaxis. Given the severity of the condition, drug-induced anaphylaxis is a major public health concern. We developed and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e9e2fc858e0cb751d015c8703d1a671
https://europepmc.org/articles/PMC3788529/
https://europepmc.org/articles/PMC3788529/
Autor:
Kathleen E, Walsh, Sarah L, Cutrona, Sarah, Foy, Meghan A, Baker, Susan, Forrow, Azadeh, Shoaibi, Pamala A, Pawloski, Michelle, Conroy, Andrew M, Fine, Lise E, Nigrovic, Nandini, Selvam, Mano S, Selvan, William O, Cooper, Susan, Andrade
Publikováno v:
Pharmacoepidemiology and drug safety. 22(11)
We aim to develop and validate the positive predictive value (PPV) of an algorithm to identify anaphylaxis using health plan administrative and claims data. Previously published PPVs for anaphylaxis using International Classification of Diseases, nin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f4bb3429ee128f0383d53de67f411d63
https://pubmed.ncbi.nlm.nih.gov/24038742
https://pubmed.ncbi.nlm.nih.gov/24038742