Evidence map›Paper›PMID 36779609›Full record

ArticleJournal of the American Geriatrics Society2023

Patterns and disparities in prescribing of opioids and benzodiazepines for older adults in North Carolina.

Joshua D Niznik, Tamera Hughes, Lori T Armistead, Jayanth Kashyap, Jessica Roller, Jan Busby-Whitehead, Stefanie P Ferreri

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% of its field
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 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Joshua D NiznikDivision of Geriatric Medicine, Department of Medicine, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1466-5751
Tamera HughesDivision of Practice Advancement and Clinical Education, University of North Carolina at Chapel Hill, Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.
Lori T ArmisteadDivision of Practice Advancement and Clinical Education, University of North Carolina at Chapel Hill, Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.ORCID 0000-0002-4680-0156
Jayanth KashyapUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jessica RollerDivision of Practice Advancement and Clinical Education, University of North Carolina at Chapel Hill, Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.
Jan Busby-WhiteheadDivision of Geriatric Medicine, Department of Medicine, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, North Carolina, USA.
Stefanie P FerreriDivision of Practice Advancement and Clinical Education, University of North Carolina at Chapel Hill, Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · US

Funding

Implementation of a De-prescribing Medication Protocol to Evaluate Falls in Older AdultsU01CE002955 · CE · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSBY-WHITEHEAD, JAN, FERRERI, STEFANIE P · 2018 to 2021
$3.0M
Deprescribing Bisphosphonates in Older Nursing Home Residents with DementiaK08AG071794 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NIZNIK, JOSHUA DAVID · 2021 to 2025
$724k
ACL HHS U01CE002955NCIPC CDC HHS U01 CE002955NIA NIH HHS K08 AG071794
6 · The paper itself

Abstract

backgroundWe characterized real-world prescribing patterns of opioids and benzodiazepines (BZDs) for older adults to explore potential disparities by race and sex and to characterize patterns of co-prescribing.

methodsA retrospective evaluation was conducted using electronic health data for adults ≥65 years old who presented to one of 15 primary care practices between 2019 and 2020 (n = 25,141). Chronic opioid and BZD users had ≥4 prescriptions in the year prior, with at least one in the last 90 or 180 days, respectively. We compared demographic characteristics between all older adults versus chronic opioid and BZD users. We used logistic regression to identify characteristics (age, sex, race, Medicaid use, fall history) associated with opioid and BZD co-prescribing.

resultsWe identified 833 (3.3%) chronic opioid and 959 chronic BZD users (3.8%) among all older adults seen in these practices. Chronic opioid users were less likely to be Black (12.7% vs. 14.3%) or other non-White race (1.4% vs. 4.3%), but more likely to be women (66.8% vs. 61.3%). A similar trend was observed for BZD users, with less prescribing among Black (5.4% vs. 14.3%) and other races (2.2% vs. 4.3%) older adults and greater prescribing among women (73.6% vs. 61.3%). Co-prescribing was observed among 15% of opioid users and 13% of BZD users. Co-prescribing was largely driven by the presence of relevant co-morbid conditions including chronic pain, anxiety, and insomnia rather than demographic characteristics.

conclusionsWe observed notable disparities in opioid and BZD prescribing by sex and race among older adults in primary care. Future research should explore if such patterns reflect appropriate prescribing or are due to disparities in prescribing driven by biases related to perceived risks for misuse.

Indexed as

Analgesics, OpioidBenzodiazepinesAgedAnxietyFemaleHumansMaleNorth CarolinaPractice Patterns, Physicians'Retrospective StudiesUnited StatesAnalgesics, OpioidBenzodiazepineshealthcare disparitiesoutpatientpharmacoepidemiologyprescribingprimary care

Identifiers

PMID36779609
PMCPMC10258120
OpenAlexW4320490799

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.