Evidence map›Paper›PMID 33206289›Full record

ArticleInternational journal of clinical pharmacy2021

Opioid prescribing and risk of drug-opioid interactions in older discharged patients with polypharmacy in Australia.

Aymen Ali Al-Qurain, Lemlem G Gebremichael, Mohammed S Khan, Desmond B Williams, Lorraine Mackenzie, Craig Phillips, Patrick Russell, Michael S Roberts, Michael D Wiese

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of clinical pharmacy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients.European journal of drug metabolism and pharmacokinetics · 2022
    Article
  10. Article
  11. Overview of this issue: "Pain management in an opioid crisis".International journal of clinical pharmacy · 2021
    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

9 authors at 3 institutions in 2 countries.

Aymen Ali Al-QurainUniSA: Clinical and Health Sciences, University of South Australia, Adelaide, Australia. aymen.al_qurain@mymail.unisa.edu.au.ORCID http://orcid.org/0000-0002-4284-0265
Lemlem G GebremichaelUniSA: Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Mohammed S KhanUniSA: Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Desmond B WilliamsUniSA: Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Lorraine MackenzieUniSA: Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Craig PhillipsSchool of Nursing and Midwifery, University of South Australia, Adelaide, Australia.
Patrick RussellRoyal Adelaide Hospital, Adelaide, Australia.
Michael S RobertsUniSA: Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Michael D WieseUniSA: Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
University of South Australia · AUTranslational Research Institute · AURoyal Adelaide Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Opioids are commonly prescribed to managing chronic pain in older persons. However, these patients are often at risk of drug-opioid interactions due to polypharmacy. Objectives To identify the prevalence of opioid prescribing and drug-opioid interactions in poly-medicated older patients and factors associated with opioid prescribing. Setting Patients were included if they were admitted to the Royal Adelaide Hospital between September 2015 and August 2016, aged ≥ 75 years and took ≥ 5 medications at discharge. Methods After ethics approval, data of were retrospectively collected from case notes. The Charlson Comorbidity Index and Drug Burden Index were determined and opioids were classified as strong or weak. The association between opioid use and concurrent medications was computed using logistic regression and the results presented as odds ratios (OR) and 95% confidence intervals (95% CI), adjusted for age, sex, Charlson Comorbidity Index, number of prescribed medications and modified-Drug Burden Index. Main outcome measure Association between concurrent medications and opioid prescribing. Results 15,000 geriatric admissions were identified, of which 1192 were included. A total of 283 (23.7%) patients were prescribed opioids, with oxycodone accounting for 56% of these prescriptions. Opioid users were prescribed more medications (11.2 vs. 9.0, P < 0.001) and had higher Drug Burden Index (1.2 vs. 0.14, P < 0.001) compared to non-users. Opioid use was associated with concurrent prescription of antiepileptics (OR = 1.7, 95% CI 1.1-2.6), and negatively associated with Charlson Comorbidity Index (OR = 0.9, 95% CI 0.8-0.98) and concurrent use of antipsychotics (OR = 0.5, 95% CI 0.3-0.9) and beta blocking agents (OR = 0.4, 95% CI 0.3-0.6). Conclusions Strong opioids were prescribed more often than weak opioids and opioid users presented with characteristics and concurrent medications which increased the risk of opioid related adverse drug effects.

Indexed as

Analgesics, OpioidPharmaceutical PreparationsAgedAged, 80 and overDrug PrescriptionsHumansPatient DischargePolypharmacyPractice Patterns, Physicians'Retrospective StudiesAnalgesics, OpioidPharmaceutical PreparationsAdverse drug reactionsChronic non-cancer painDrug–drug interactionMedications useOlderOpioidsPolypharmacy

Identifiers

PMID33206289
OpenAlexW3105751086

What OpenQuestion holds

Textmetadata
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.