Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Counter-Point

Staying Honest When Policy Changes Backfire

Bibliographic Data

ID9097100
AuthorsChristine Y Lu (0000-0002-8227-9177, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, corresponding author), 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, corresponding author)
Year2018
Volume56
Issue5
Pages384-390
Publication date2018-05-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000897
PMID29634631
OpenAlexW2797321915
LanguageEN
Citations received3
References cited32

Despite the good intentions of the Food and Drug Administration (FDA), many drug warnings are ineffective or have unintended consequences, particularly if the media exaggerates the messages and scares the public. The controversial 2003 to 2004 FDA warnings on youth suicidality associated with antidepressant use are a case in point. In a 10-year interrupted time series (ITS) analysis in 11 health plans, we found that the warnings and hyped media coverage led to substantial reductions in antidepressant use (declines in antidepressant use and overall care corroborated in several studies), and small, visible increases in emergency room and inpatient poisonings with psychotropic drugs. In a gross misunderstanding of the method, Dr Stone calls ITS, “an intuition based upon false analogies, fallacious assumptions and analytical error.” We demonstrate visually using published studies that the ITS method is one of the oldest (hundreds of years) and strongest quasi-experimental study designs, and that the alternative data analyses proposed by Dr Stone do not have rates (denominators), nor baselines, so the measures of change are invalid

Antidepressant · Environmental health · Food and drug administration · Intuition · Media coverage · Political science · Psychiatry · Sociology · Unintended consequences · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes · Health Policy Implementation Science · Medicine · Mental Health Research Topics · Psychology

  • Interrupted time series analysis using autoregressive integrated moving average (Arima) models

    Open Access•Andrea L Schaffer, Timothy Dobbins et al.•BMC Medical Research Methodology•2021

  • Counter-Point

    Christine Y Lu, Gregory Simon et al.•Medical Care•2018

  • Near Real-time Surveillance for Consequences of Health Policies Using Sequential Analysis

    Christine Y Lu, Robert B Penfold et al.•Medical Care•2018

  • Effect of government and commercial warnings on reducing prescription misuse

    Stephen B Soumerai, J Avorn et al.•American Journal of Public Health•1987

  • Counter-Point

    Christine Y Lu, Gregory Simon et al.•Medical Care•2018

  • The Effects of the Transition From Medicaid to Medicare on Health Care Use for Adults With Mental Illness

    Margaret E Burns, Marguerite E Burns et al.•Medical Care•2016

  • Unintended Consequences of a Medicaid Prescription Copayment Policy

    Daniel A Lieberman, Jennifer M Polinski et al.•Medical Care•2014

  • Medicare Part D is Associated With Reducing the Financial Burden of Health Care Services in Medicare Beneficiaries With Diagnosed Diabetes

    Rui Li, Edward W Gregg et al.•Medical Care•2013

  • Changes in Use of Lipid-lowering Medications Among Black and White Dual Enrollees With Diabetes Transitioning From Medicaid to Medicare Part D Drug Coverage

    Alyce S Adams, J M Madden et al.•Medical Care•2014

  • Unintended Impacts of a Medicaid Prior Authorization Policy on Access to Medications for Bipolar Illness

    Christine Y Lu, Stephen B Soumerai et al.•Medical Care•2010

  • Near Real-time Surveillance for Consequences of Health Policies Using Sequential Analysis

    Christine Y Lu, Robert B Penfold et al.•Medical Care•2018

Citations per year0.38
Citation span2018 - 2021 (4)
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae