Evidence map›Paper›PMID 33867589›Full record

ArticleRural sociology2021

Income inequality and opioid prescribing rates: Exploring rural/urban differences in pathways via residential stability and social isolation.

Tse-Chuan Yang, Seulki Kim, Carla Shoff

Abstract read
In one paragraph

Article in Rural sociology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Drug Safety and Suicidality Risk of Chronic Pain Medications.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tse-Chuan YangUniversity at Albany, 1400 Washington Ave., Arts & Sciences 351, Albany, NY 12222.
Seulki KimUniversity at Albany, 1400 Washington Ave., Arts & Sciences 356, Albany, NY 12222.
Carla ShoffCenters for Medicare & Medicaid Services, 7500 Security Boulevard, Baltimore, MD 21244.

Funding

Developmental Infrastructure CoreR24HD044943 · NICHD · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI DENTON, NANCY A · 2004 to 2016
$4.8M
NICHD NIH HHS R24 HD044943
6 · The paper itself

Abstract

While opioid prescribing rates have drawn researchers' attention, little is known about the mechanisms through which income inequality affects opioid prescribing rates and even less focuses on whether there is a rural/urban difference in mediating pathways. Applying mediation analysis techniques to a unique ZIP code level dataset from several sources maintained by the Centers for Medicare and Medicaid Services, we explicitly examine two mechanisms through residential stability and social isolation by rural/urban status and find that (1) income inequality is not directly related to opioid prescribing rates, but it exerts its influence on opioid prescribing via poor residential stability and elevated social isolation; (2) social isolation accounts for two-thirds of the mediating effect of income inequality on opioid prescribing rates among urban ZIP codes, but the proportion halves among rural ZIP codes; (3) residential stability plays a larger role in understanding how income inequality matters in rural than in urban ZIP codes; and (4) beneficiary characteristics only matter in urban ZIP codes. These findings offer nuanced insight into how income inequality affects opioid prescribing rates and suggests that the determinants of opioid prescribing rates vary by rural/urban status. Future research may benefit from identifying place-specific factors for opioid prescribing rates.

Indexed as

income inequalitymediation analysisopioidsresidential stabilityrural/urbansocial isolation

Identifiers

PMID33867589
PMCPMC8045985

What OpenQuestion holds

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Registered trials

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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.