Counter-Point

Early Warning Systems Are Imperfect, but Essential

Datos Bibliográficos

ID9104470
AutoresChristine Y Lu (0000-0002-8227-9177, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, autor de correspondencia), Gregory Simon (0000-0002-4245-1825, Kaiser Permanente Washington Health Research Institute, Seattle, WA), GREGORY E SIMON (0000-0003-2859-5467, Kaiser Permanente Washington Health Research Institute), Stephen B Soumerai (0000-0001-6811-2496, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, autor de correspondencia), Martin Kulldorff (0000-0002-5284-2993, Department of Medicine, Division of Pharmacoepidemiology and Pharmacoeconomics, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA)
Año2018
Volumen56
Número5
Páginas382-383
Fecha de publicación2018-05-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000896
PMID29634630
OpenAlexW2797483448
IdiomaEN
Citas recibidas1
Referencias citadas6

Sequential analysis can be used as an early warning system about potential unintended consequences of health policy decisions, generating follow-up investigations, but it should not be used as causal evidence

MEDLINE · Political science · Advanced Statistical Process Monitoring · Healthcare cost, quality, practices · Healthcare Policy and Management