Evidence map›Paper›PMID 35387640›Full record

SynthesisBMC palliative care2022

Does ethnicity affect pain management for people with advanced disease? A mixed methods cross-national systematic review of 'very high' Human Development Index English-speaking countries.

Gemma Clarke, Emma Chapman, Jodie Crooks, Jonathan Koffman, Shenaz Ahmed, Michael I Bennett

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC palliative care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

6 authors at 2 institutions in 1 country.

Gemma ClarkeAcademic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, England, UK. g.c.clarke@leeds.ac.uk.ORCID http://orcid.org/0000-0001-8438-7131
Emma ChapmanAcademic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, England, UK.
Jodie CrooksAcademic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, England, UK.
Jonathan KoffmanDepartment of Palliative Care, Policy and Rehabilitation, Cicely Saunders Institute, King's College London, London, England, UK.
Shenaz AhmedDivision of Psychological & Social Medicine, Leeds Institute of Health Sciences, University of Leeds, Leeds, England, UK.
Michael I BennettAcademic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, England, UK.
University of Leeds · GBKing's College London · GB

Funding

Marie Curie MCRFS-18-102
6 · The paper itself

Abstract

backgroundRacial disparities in pain management have been observed in the USA since the 1990s in settings such as the emergency department and oncology. However, the palliative care context is not well described, and little research has focused outside of the USA or on advanced disease. This review takes a cross-national approach to exploring pain management in advanced disease for people of different racial and ethnic groups.

methodsMixed methods systematic review. The primary outcome measure was differences in receiving pain medication between people from different racial and ethnic groups. Five electronic databases were searched. Two researchers independently assessed quality using JBI checklists, weighted evidence, and extracted data. The quantitative findings on the primary outcome measure were cross-tabulated, and a thematic analysis was undertaken on the mixed methods studies. Themes were formulated into a conceptual/thematic matrix. Patient representatives from UK ethnically diverse groups were consulted. PRISMA 2020 guidelines were followed.

resultsEighteen papers were included in the primary outcome analysis. Three papers were rated 'High' weight of evidence, and 17/18 (94%) were based in the USA. Ten of the eighteen (56%) found no significant difference in the pain medication received between people of different ethnic groups. Forty-six papers were included in the mixed methods synthesis; 41/46 (89%) were based in the USA. Key themes: Patients from different ethnically diverse groups had concerns about tolerance, addiction and side effects. The evidence also showed: cultural and social doctor-patient communication issues; many patients with unmet pain management needs; differences in pain assessment by racial group, and two studies found racial and ethnic stereotyping.

conclusionsThere was not enough high quality evidence to draw a conclusion on differences in receiving pain medication for people with advanced disease from different racial and ethnic groups. The mixed methods findings showed commonalities in fears about pain medication side effects, tolerance and addiction across diverse ethnic groups. However, these fears may have different foundations and are differently prioritised according to culture, faith, educational and social factors. There is a need to develop culturally competent pain management to address doctor-patient communication issues and patients' pain management concerns.

trial registrationPROSPERO- CRD42020167890 .

Indexed as

EthnicityPain ManagementCommunicationHumansPainPalliative CareAdvanced diseaseEthnicityHealth inequalitiesMixed methodsPainPain managementPalliative careRaceSystematic review

Identifiers

PMID35387640
PMCPMC8983802
OpenAlexW4223420937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.