Evidence map›Paper›PMID 41725204›Full record

ArticleHealth communication2026

Deflecting Before Prescribing: Negotiating About Opioids and Chronic Pain in Primary Care.

Anne Elizabeth Clark White, Richard L Kravitz, Stephen G Henry

Abstract read
In one paragraph

Article in Health communication, 2026. 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

3 authors.

Anne Elizabeth Clark WhiteThe Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego.ORCID 0000-0001-6574-2812
Richard L KravitzDepartment of Internal Medicine, University of California Davis.
Stephen G HenryDepartment of Internal Medicine, University of California Davis.

Funding

A clinician training intervention to improve pain-related communication, pain management and opioid prescribing in primary careK23DA043052 · NIDA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HENRY, STEPHEN G · 2017 to 2019
$591k
NIDA NIH HHS K23 DA043052
6 · The paper itself

Abstract

In this study, we examine opioid-related treatment negotiations during primary care visits for chronic pain. We video-recorded 86 visits involving established patients on chronic opioids seeing primary care physicians; participants completed post-visit assessments. We used conversation analysis to identify patient requests (direct and indirect) for better pain control, create a taxonomy of eight "deflection" practices physicians used to respond before making opioid-related treatment recommendations (gathering information, evaluating pain, quelling, proposing alternative treatment options, empathizing, praising positive behavior change, warning about opioid risks, and discussing the pain contract), and identify seven visit-level physician communication styles (staller, quick-to-decide, positive affirmation, policer, no-stone-left-unturned, forward-focused, and heterogeneous). We used generalized linear mixed models to explore whether deflection frequency or visit style were associated with participant experience. Most patients (96%) used indirect requests to ask for better pain control. On average, physicians produced 67 deflections before articulating treatment recommendations. More total deflections were associated with worse patient and physician visit experience. Specific deflection practices and visit styles were associated with patient and physician visit experience. Physicians do substantial work before making opioid-related treatment recommendations. Attention to negotiation practices may help explain and ultimately identify strategies to reduce unease associated with opioid discussions.

Identifiers

PMID41725204
PMCPMC13175399

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.