Evidence map›Paper›PMID 38514141›Full record

ArticleBMJ open2024

Identifying provider, patient and practice factors that shape long-term opioid prescribing for cancer pain: a qualitative study of American and Australian providers.

Soraya Fereydooni, Karl Lorenz, Azin Azarfar, Tim Luckett, Jane L Phillips, William Becker, Karleen Giannitrapani

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The contribution of nonmedical opioid use to healthcare encounters for opioid overdose and use disorders among long-term users with metastatic cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  5. Article
  6. Review
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

7 authors at 6 institutions in 2 countries.

Soraya FereydooniYale University, New Haven, Connecticut, USA soraya_fe@ymail.com.ORCID 0000-0002-1264-6461
Karl LorenzStanford University, Stanford, California, USA.
Azin AzarfarUniversity of Florida, Gainesville, Florida, USA.
Tim LuckettIMPACCT (Improving Palliative, Aged and Chronic Care through Clinical Research and Translation), Faculty of Health, University of Technology, Sydney, New South Wales, Australia.ORCID 0000-0001-6121-5409
Jane L PhillipsIMPACCT (Improving Palliative, Aged and Chronic Care through Clinical Research and Translation), University of Technology, Sydney, New South Wales, Australia.
William BeckerVA Connecticut Healthcare System, West Haven, Connecticut, USA.
Karleen GiannitrapaniVA Center for Innovation to Implementation, Menlo Park, California, USA.ORCID 0000-0003-0987-6204
University of Technology Sydney · AUCenter for Innovation · USStanford University · USUniversity of Florida · USVA Connecticut Healthcare System · USYale University · US

Funding

HSRD VA SDR 15-461
6 · The paper itself

Abstract

introductionPrescribing long-term opioid therapy is a nuanced clinical decision requiring careful consideration of risks versus benefits. Our goal is to understand patient, provider and context factors that impact the decision to prescribe opioids in patients with cancer.

methodsWe conducted a secondary analysis of the raw semistructured interview data gathered from 42 prescribers who participated in one of two aligned concurrent qualitative studies in the USA and Australia. We conducted a two-part analysis of the interview: first identifying all factors influencing long-term prescribing and second open coding-related content for themes.

resultsFactors that influence long-term opioid prescribing for cancer-related pain clustered under three key domains (patient-related, provider-related and practice-related factors) each with several themes. Domain 1: Patient factors related to provider-patient continuity, patient personality, the patient's social context and patient characteristics including racial/ethnic identity, housing and socioeconomic status. Domain 2: Provider-related factors centred around provider 'personal experience and expertise', training and time availability. Domain 3: Practice-related factors included healthcare interventions to promote safer opioid practices and accessibility of quality alternative pain therapies.

conclusionDespite the differences in the contexts of the two countries, providers consider similar patient, provider and practice-related factors when long-term prescribing opioids for patients with cancer. Some of these factors may be categorised as cognitive biases that may intersect in an already disadvantaged patient and exacerbate disparities in the treatment of their pain. A more systematic understanding of these factors and how they impact the quality of care can inform appropriate interventions.

Indexed as

Cancer PainNeoplasmsAnalgesics, OpioidAustraliaHumansPainPractice Patterns, Physicians'United StatesAnalgesics, OpioidCancer painChronic PainClinical Decision-MakingHealth informaticsHealth ServicesPain management

Identifiers

PMID38514141
PMCPMC10961503
OpenAlexW4393033038

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.