Evidence map›Paper›PMID 37228808›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2023

Program Evaluation: exploring health disparities that impact chronic pain referrals within a VA Health Care System.

Eric R Hanson, Heidi E Quist, Jeffrey S Mintert, Mahreen Arshad, Brittany L Friedman, Alexandra Pleasant, N Stacey Monico-Cristales, Rhonda Tillman, Mark Mehelis, Anita Karnik and 2 more

Abstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Eric R HansonChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Heidi E QuistChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Jeffrey S MintertChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Mahreen ArshadChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Brittany L FriedmanChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Alexandra PleasantChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
N Stacey Monico-CristalesChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Rhonda TillmanChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Mark MehelisChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Anita KarnikChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Anais SonderChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.
Aram S MardianChronic Pain Wellness Center, Phoenix VA Health Care System, Phoenix, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The present Program Evaluation study examines sociodemographic characteristics of Veterans in the Phoenix VA Health Care System who have back pain, and specifically the likelihood of those characteristics being associated with a referral to the Chronic Pain Wellness Center (CPWC) in the year 2021. We examined the following characteristics: Race/ethnicity, gender, age, mental health diagnosis, substance use disorder diagnosis, and service-connected diagnosis. Methods: Our study used cross sectional data from the Corporate Data Warehouse for 2021. 13624 records had complete data for the variables of interest. Univariate and multivariate logistic regression was used to determine the likelihood of patients' being referred to the Chronic Pain Wellness Center. Results: The multivariate model found under-referral to be significant for younger adults and for patients who identified as Hispanic/Latinx, Black/African American, or Native American/Alaskan. Those with depressive disorders and opioid use disorders, on the other hand, were found to be more likely to be referred to the pain clinic. Other sociodemographic characteristics were not found to be significant. Discussion: Study limitations include the use of cross-sectional data, which cannot determine causality, and the inclusion of patients only if the ICD-10 codes of interest were recorded for an encounter in 2021 (i.e., a prior history of a particular diagnosis was not captured). In future efforts, we plan to examine, implement, and track the impact of interventions designed to mitigate these identified disparities in access to chronic pain specialty care.

Indexed as

age disparitieschronic painequal access to caregender disparitieshealth dispartiesmental health disparitiesquality improvementrace disparities

Identifiers

PMID37228808
PMCPMC10204586

What OpenQuestion holds

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LicenceCC BY
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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.