ArticleData in brief2021
County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access.
Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 24 citations in OpenAlex.
- Article
- Medical training program size and clinical staff productivity and turnover.Health services research · 2025Article
- Nurse Practitioner Care, Scope of Practice, and End-of-Life Outcomes for Nursing Home Residents With Dementia.JAMA health forum · 2024Article
- Geographic Variation in Cesarean Sections in the United States: Trends, Correlates, and Other Interesting Facts.Journal of labor economics · 2024Article
- Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties.BMC public health · 2024Article
- Association of State Supplemental Nutrition Assistance Program Eligibility Policies With Adult Mental Health and Suicidality.JAMA network open · 2023Article
- Evaluating State-Level Prescription Drug Monitoring Program (PDMP) and Pill Mill Effects on Opioid Consumption in Pharmaceutical Supply Chain.Healthcare (Basel, Switzerland) · 2023Article
- Local Supply Of Postdischarge Care Options Tied To Hospital Readmission Rates.Health affairs (Project Hope) · 2022Article
- Article
- "The DEA would come in and destroy you": a qualitative study of fear and unintended consequences among opioid prescribers in WV.Substance abuse treatment, prevention, and policy · 2022Article
- Medicaid expansion and drug overdose mortality during the COVID-19 pandemic in the United States.Drug and alcohol dependence · 2022Article
- Association Between Medicaid Expansion and Suicide Mortality Among Nonelderly US Adults.American journal of epidemiology · 2021Article
- Equitable Medicaid Reimbursement Policies Increase Midwifery-Led Births: An Interrupted Time Series Analysis With a Synthetic Control Group.Journal of midwifery & women's healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
The dataset summarized in this article is a combination of several of U.S. federal data resources for the years 2006-2013, containing county-level variables for opioid pill volumes, demographics (e.g. age, race, ethnicity, income), insurance coverage, healthcare demand (e.g. inpatient and outpatient service utilization), healthcare infrastructure (e.g. number of hospital beds or hospices), and the supply of various types of healthcare providers (e.g. medical doctors, specialists, dentists, or nurse practitioners). We also include indicators for states which permitted opioid prescribing by nurse practitioners. This dataset was originally created to assist researchers in identifying which factors predict per capita opioid pill volume (PCPV) in a county, whether early state Medicaid expansions increased PCPV, and PCPV's association with opioid-related mortality. Missing data were imputed using regression analysis and hot deck imputation. Non-imputed values are also reported. Taken together, our data provide a new level of precision that may be leveraged by scholars, policymakers, or data journalists who are interested in studying the opioid epidemic. Researchers may use this dataset to identify patterns in opioid distribution over time and characteristics of counties or states which were disproportionately impacted by the epidemic. These data may also be joined with other sources to facilitate studies on the relationships between opioid pill volume and a wide variety of health, economic, and social outcomes.
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.