Trends and Patterns of Geographic Variation in Opioid Prescribing Practices by State, United States, 2006-2017
Lyna Z. Schieber; Gery P. Guy; Puja Seth; Randall Young; Christine L. Mattson; Christina A. Mikosz; Richard A. Schieber · 2019 · JAMA Network Open
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Importance: Risk of opioid use disorder, overdose, and death from prescription opioids increases as dosage, duration, and use of extended-release and long-acting formulations increase. States are well suited to respond to the opioid crisis through legislation, regulations, enforcement, surveillance, and other interventions. Objective: To estimate temporal trends and geographic variations in 6 key opioid prescribing measures in 50 US states and the District of Columbia. Design, Setting, and Participants: Population-based cross-sectional analysis of opioid prescriptions filled nationwide at US r
Abstract by Lyna Z. Schieber; Gery P. Guy; Puja Seth; Randall Young; Christine L. Mattson; Christina A. Mikosz; Richard A. Schieber, JAMA Network Open (2019) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke
Negative / Null Result ReportDuodenal Infusion of Donor Feces for Recurrent Clostridium difficile
Negative / Null Result ReportStenting versus Endarterectomy for Treatment of Carotid-Artery Stenosis
Negative / Null Result ReportEffects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
Replication FailureA Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
Negative / Null Result ReportSpironolactone for Heart Failure with Preserved Ejection Fraction
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1001/jamanetworkopen.2019.0665