Evidence map›Paper›PMID 42610159›Full record

ArticlePain reports2026

Adults' experiences of perioperative opioid use: a mixed-methods study.

Dalia Mohammed Aljohani, Esther M Pogatzki-Zahn, Rosalind Adam, Patrice Forget

Abstract read
In one paragraph

Article in Pain reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Dalia Mohammed AljohaniPain AND Opioids After Surgery (PANDOS) European Society of Anaesthesiology and Intensive Care (ESAIC) Research Group.ORCID https://orcid.org/0000-0002-5684-2069
Esther M Pogatzki-ZahnDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Muenster, Muenster, Germany.
Rosalind AdamAcademic Primary Care, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom.
Patrice ForgetPain AND Opioids After Surgery (PANDOS) European Society of Anaesthesiology and Intensive Care (ESAIC) Research Group.ORCID https://orcid.org/0000-0001-5772-8439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Managing acute postoperative pain is challenging because of its subjective nature and factors influencing it. Objectives: We explore adults' perioperative pain experiences, focusing on opioid use, shared decision making (SDM), satisfaction, and outcomes to improve patient-centred strategies. Methods: A mixed-methods study included a telephone survey conducted within the first 14 days postsurgery with the Results: Of 114 patients, 94% experienced adverse events, mainly anxiety (68%), drowsiness (67%), and helplessness (64%) after surgery. Nearly half (48%) had preoperative persistent pain, with patients spending a median of 40% of their time in severe pain postoperatively and 20% wishing for more pain relief. Despite this, 75% participated in treatment decisions, and satisfaction was high (median 9/10). Analysis of 15 interviews identified 4 themes: nobody is average (unique pain); active partner or passive participant (from empowered to passive, often misinterpreting SDM); working towards a goal (recovery and coping); and pain beyond medicine (emotional, social, spiritual). These findings show pain is highly individual, shaped by involvement and psychosocial factors, and highlight gaps in SDM understanding and use. Conclusion: Adults' pain management needs holistic, multimodal, individualised approaches with patient input, considering values, goals, and concerns beyond opioids. Clear discharge communication, ongoing care, and provider training are essential for safe recovery. Future research should explore how providers view and use SDM to overcome barriers and improve patient engagement.

Indexed as

Opioid managementPatient-centred carePatient engagementPerioperative painPsychosocial factorsShared decision-making

Identifiers

PMID42610159
PMCPMC13480762

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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.