Evidence map›Paper›PMID 38167142›Full record

ReviewBMC medicine2024

Development of prescribing indicators related to opioid-related harm in patients with chronic pain in primary care-a modified e-Delphi study.

Neetu Bansal, Stephen M Campbell, Chiu-Yi Lin, Darren M Ashcroft, Li-Chia Chen

Open access · goldAbstract readReview
In one paragraph

Review in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 2 countries.

Neetu BansalDrug Usage and Pharmacy Practice Group, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, Centre for Pharmacoepidemiology and Drug Safety, Manchester Academic Health Science Centre, School of Health Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK. neetu.bansal@manchester.ac.uk.ORCID 0000-0002-9897-8757
Stephen M CampbellDepartment of Public Health Pharmacy and Management, School of Pharmacy, Sefako Makgatho Health Sciences University, Molotlegi Street, Pretoria, 0208, South Africa.
Chiu-Yi LinDivision of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Health Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Darren M AshcroftDrug Usage and Pharmacy Practice Group, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, Centre for Pharmacoepidemiology and Drug Safety, Manchester Academic Health Science Centre, School of Health Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Li-Chia ChenDrug Usage and Pharmacy Practice Group, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, Centre for Pharmacoepidemiology and Drug Safety, Manchester Academic Health Science Centre, School of Health Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Manchester Academic Health Science Centre · GB

Funding

NRSA Training CoreTL1TR002016 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI THOMAS, GAIL D. · 2016 to 2025
$3.4M
NIHR Greater Manchester Patient Safety Translational Research Centre PSTRC-2016-003
6 · The paper itself

Abstract

backgroundLong-term opioid use is associated with dependency, addiction, and serious adverse events. Although a framework to reduce inappropriate opioid prescribing exists, there is no consensus on prescribing indicators for preventable opioid-related problems in patients with chronic pain in primary care in the UK. This study aimed to identify opioid prescription scenarios for developing indicators for prescribing opioids to patients with chronic pain in primary care.

methodsScenarios of opioid prescribing indicators were identified from a literature review, guidelines, and government reports. Twenty-one indicators were identified and presented in various opioid scenarios concerning opioid-related harm and adverse effects, drug-drug interactions, and drug-disease interactions in certain disease conditions. After receiving ethics approval, two rounds of electronic Delphi panel technique surveys were conducted with 24 expert panellists from the UK (clinicians, pharmacists, and independent prescribers) from August 2020 to February 2021. Each indicator was rated on a 1-9 scale from inappropriate to appropriate. The score's median, 30th and 70th percentiles, and disagreement index were calculated.

resultsThe panel unanimously agreed that 15 out of the 21 opioid prescribing scenarios were inappropriate, primarily due to their potential for causing harm to patients. This consensus was reflected in the low appropriateness scores (median ranging from 1 to 3). There were no scenarios with a high consensus that prescribing was appropriate. The indicators were considered inappropriate due to drug-disease interactions (n = 8), drug-drug interactions (n = 2), adverse effects (n = 3), and prescribed dose and duration (n = 2). Examples included prescribing opioids during pregnancy, concurrently with benzodiazepines, long-term without a laxative prescription and prescribing > 120-mg morphine milligram equivalent per day or long-term duration over 3 months after surgery.

conclusionsThe high agreement on opioid prescribing indicators indicates that these potentially hazardous consequences are relevant and concerning to healthcare practitioners. Future research is needed to evaluate the feasibility and implementation of these indicators within primary care settings. This research will provide valuable insights and evidence to support opioid prescribing and deprescribing strategies. Moreover, the findings will be crucial in informing primary care practitioners and shaping quality outcome frameworks and other initiatives to enhance the safety and quality of care in primary care settings.

Indexed as

Chronic PainDrug-Related Side Effects and Adverse ReactionsAnalgesics, OpioidDelphi TechniqueDrug PrescriptionsHumansPractice Patterns, Physicians'Primary Health CareAnalgesics, OpioidChronic painOpioid-related harmsPrescribing quality indicatorsPreventable medication problemsPrimary care

Identifiers

PMID38167142
PMCPMC10763174
OpenAlexW4390511945

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.