Evidence map›Paper›PMID 31568099›Full record

Trial reportPain2019

A randomized controlled trial testing a virtual perspective-taking intervention to reduce race and socioeconomic status disparities in pain care.

Adam T Hirsh, Megan M Miller, Nicole A Hollingshead, Tracy Anastas, Stephanie T Carnell, Benjamin C Lok, Chenghao Chu, Ying Zhang, Michael E Robinson, Kurt Kroenke and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Pain, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Article
  16. What Predicts a Longer Period of Pain in Patients Referred to an Interdisciplinary Center for Pain Care?International journal of environmental research and public health · 2024
    Article
  17. Racial bias in perceptions of children's pain.Journal of experimental psychology. Applied · 2024
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Adam T HirshDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States.
Megan M MillerDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States.
Nicole A HollingsheadDepartment of Family Medicine, The Ohio State University, Columbus, OH, United States.
Tracy AnastasDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States.
Stephanie T CarnellDepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
Benjamin C LokDepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
Chenghao ChuDepartment of Biostatistics, Indiana University Fairbanks School of Public Health and School of Medicine, Indianapolis, IN, United States.
Ying ZhangDepartment of Biostatistics, Indiana University Fairbanks School of Public Health and School of Medicine, Indianapolis, IN, United States.
Michael E RobinsonDepartment of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States.
Kurt KroenkeVA Health Services Research and Development Center for Excellence on Implementing Evidence-Based Practice, Roudebush VA Medical Center, Indianapolis, IN, United States.
Leslie Ashburn-NardoDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States.

Funding

Virtual Perspective-Taking to Reduce Race and SES Disparities in Pain CareR01MD008931 · NIMHD · INDIANA UNIVERSITY INDIANAPOLIS · PI HIRSH, ADAM T · 2014 to 2018
$1.9M
NIMHD NIH HHS R01 MD008931
6 · The paper itself

Abstract

We conducted a randomized controlled trial of an individually tailored, virtual perspective-taking intervention to reduce race and socioeconomic status (SES) disparities in providers' pain treatment decisions. Physician residents and fellows (n = 436) were recruited from across the United States for this two-part online study. Providers first completed a bias assessment task in which they made treatment decisions for virtual patients with chronic pain who varied by race (black/white) and SES (low/high). Providers who demonstrated a treatment bias were randomized to the intervention or control group. The intervention consisted of personalized feedback about their bias, real-time dynamic interactions with virtual patients, and videos depicting how pain impacts the patients' lives. Treatment bias was re-assessed 1 week later. Compared with the control group, providers who received the tailored intervention had 85% lower odds of demonstrating a treatment bias against black patients and 76% lower odds of demonstrating a treatment bias against low SES patients at follow-up. Providers who received the intervention for racial bias also showed increased compassion for patients compared with providers in the control condition. Group differences did not emerge for provider comfort in treating patients. Results suggest an online intervention that is tailored to providers according to their individual treatment biases, delivers feedback about these biases, and provides opportunities for increased contact with black and low SES patients, can produce substantial changes in providers' treatment decisions, resulting in more equitable pain care. Future studies should examine how these effects translate to real-world patient care and the optimal timing/dose of the intervention.

Indexed as

Healthcare DisparitiesSocial ClassAdultBlack PeopleChronic PainClinical Decision-MakingFemaleHumansMalePain ManagementPhysiciansRacial GroupsUser-Computer InterfaceWhite People

Identifiers

PMID31568099
PMCPMC6784848

What OpenQuestion holds

Textmetadata
LicenceTDM
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.