ArticleMedical care2018
Counter-Point: Staying Honest When Policy Changes Backfire.
Article in Medical care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Changes in Adolescents' Compliance Rate in Response to Policy Changes: COVID-19 Toothbrushing Restrictions in Schools for Korea.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Article
- Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions.BMC medical research methodology · 2021Article
- Comparison of Prescribing Patterns Before and After Implementation of a National Policy to Reduce Inappropriate Alprazolam Prescribing in Australia.JAMA network open · 2019Article
- Comment on 'Measuring the impact of medicines regulatory interventions - systematic review and methodological considerations' by Goedecke et al.British journal of clinical pharmacology · 2018Article
- Counter-Point: Early Warning Systems Are Imperfect, but Essential.Medical care · 2018Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.