Evidence map›Paper›PMID 34854164›Full record

ArticleEuropean journal of pain (London, England)2022

Exploring patient preference heterogeneity for pharmacological treatments for chronic pain: A latent class analysis.

David A Walsh, Marco Boeri, Lucy Abraham, Jo Atkinson, Andrew G Bushmakin, Joseph C Cappelleri, Brett Hauber, Kathleen Klein, Leo Russo, Lars Viktrup and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of pain (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  11. Preferences of patients with chronic low back pain about nonsurgical treatments: Results of a discrete choice experiment.Health expectations : an international journal of public participation in health care and health policy · 2023
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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

11 authors at 7 institutions in 2 countries.

David A WalshPain Centre Versus Arthritis and NIHR Nottingham BRC, Academic Rheumatology, University of Nottingham, Nottingham, UK.
Marco BoeriHealth Preference Assessment, RTI Health Solutions, Belfast, UK.
Lucy AbrahamHealth Economics and Outcomes Research, Pfizer, Ltd, Surrey, UK.
Jo AtkinsonPfizer, Ltd, Surrey, UK.
Andrew G BushmakinStatistics, Pfizer, Inc, Groton, Connecticut, USA.
Joseph C CappelleriStatistics, Pfizer, Inc, Groton, Connecticut, USA.
Brett HauberWorldwide Medical and Safety, Pfizer, Inc, Collegeville, Pennsylvania, United States.
Kathleen KleinHealth Preference Assessment, RTI Health Solutions, Research Triangle Park, North Carolina, USA.
Leo RussoWorldwide Medical and Safety, Pfizer, Inc, Collegeville, Pennsylvania, United States.
Lars ViktrupEli Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.
Dennis TurkDepartment of Anesthesiology and Pain Research, University of Washington, Seattle, Washington, USA.
Pfizer (United States) · USRTI Health Solutions · USEli Lilly (United States) · USHealth Economics and Outcomes Research (United Kingdom) · GBPfizer (United Kingdom) · GBUniversity of Nottingham · GBUniversity of Washington · US

Funding

Medical Research Council MC_PC_19095
6 · The paper itself

Abstract

backgroundSeveral pharmaceutical treatments for chronic pain caused by osteoarthritis (OA) and chronic low back pain (CLBP) are available or currently under development, each associated with different adverse events (AEs) and efficacy profiles. It is therefore important to understand what trade-offs patients are willing to make when choosing between treatments.

methodsA discrete-choice experiment (DCE) was conducted with 437 adults with chronic pain caused by OA and/or CLBP. Respondents were presented with a series of scenarios and asked to choose between pairs of hypothetical treatments, each defined by six attributes: level of symptom control; risks of heart attack, rapidly progressive osteoarthritis and dependency; frequency and mode of administration and cost. Attributes were based on known profiles of oral nonsteroidal anti-inflammatory drugs, opioids and injected nerve growth factor inhibitors, the last of which were under clinical development at the time of the study. Data were analysed using a latent class (LC) model to explore preference heterogeneity.

resultsOverall, respondents considered improving symptom control and reducing risk of physical dependency to be the most important attributes. The LC analysis identified four participant classes: an 'efficacy-focused' class (33.7%), a 'cost-averse' class (29.4%), a 'physical-dependence-averse' class (19.6%) and a 'needle-averse' class (17.3%). Subgroup membership was incompletely predicted by participant age and their responses to comprehension questions.

conclusionsPreference heterogeneity across respondents indicates a need for a personalized approach to offering treatment options. Symptom improvement, cost, physical dependence and route of administration might be important to different patients. SIGNIFICANCE: Multiple treatment options that differ substantially in terms of efficacy and adverse events are available for the management of chronic pain. With a growing emphasis on a patient-centred care model that incorporates patients' priorities and values into treatment decisions, there is a need to understand how individuals with chronic musculoskeletal pain balance the benefits and risks of treatment and how treatment priorities vary among individuals. This study was designed to identify patient preferences for different characteristics of treatments for the management of chronic pain and to investigate how preferences differ among respondents.

Indexed as

Chronic PainLow Back PainAdultChoice BehaviorHumansLatent Class AnalysisPatient Preference

Identifiers

PMID34854164
PMCPMC9303786
OpenAlexW3217558995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.