Evidence map›Paper›PMID 39998023›Full record

ArticlePharmacy (Basel, Switzerland)2025

Resentful, Resigned and Respectful: Opioid Analgesics, Pain and Control, a Qualitative Study.

Richard Cooper, Catriona Matheson, Emily Pagan, Helen Radford

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Richard CooperSchool of Medicine and Population Health, University of Sheffield, Sheffield S10 2HQ, UK.ORCID 0000-0001-5110-0384
Catriona MathesonCentre for Healthcare and Community Research, University of Stirling, Stirling FK9 4LA, UK.
Emily PaganSchool of Medicine and Population Health, University of Sheffield, Sheffield S10 2HQ, UK.
Helen RadfordSchool of Medicine and Population Health, University of Sheffield, Sheffield S10 2HQ, UK.

Funding

Indivior (United Kingdom) no grant number allocated
6 · The paper itself

Abstract

Opioid analgesic prescribing has increased significantly with associated concerns about dependence and overdose. This study aimed to explore non-cancer patients' experiences and views of taking opioid analgesics to manage their pain. Twenty-two patients were purposively sampled from English GP practices and participated in semi-structured telephone interviews. Braun and Clarke's thematic analysis was used to generate emerging latent and semantic themes. Patients resented taking opioid analgesics due to tolerance and addiction fears but were resigned to experiencing chronic pain. Control emerged in relation to patients' acceptance of doctors' control over treatment decisions but also patients' attempted self-control over medicine adherence. This involved negatively perceived attempts to control pain but also prevent tolerance and addiction. Non-pharmacological treatments were viewed negatively by patients and addiction awareness arose from various sources. Patients were respectful of doctors but expressed negativity about the lack of addiction warnings, medication reviews and appointments. Family and friends were infrequently mentioned, as was reference to shared decision-making, suggesting patients navigate control over opioids and pain in relatively isolated ways. Patients reported generally negative experiences of opioid use for pain, which provides key insights for health professionals to enhance understanding and the management of such patients.

Indexed as

chronic painopioid analgesicsqualitative research

Identifiers

PMID39998023
PMCPMC11858891

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.