Evidence map›Paper›PMID 36167230›Full record

ArticleThe journal of pain2023

Mental Health Diagnoses are Not Associated With Indicators of Lower Quality Pain Care in Electronic Health Records of a National Sample of Veterans Treated in Veterans Health Administration Primary Care Settings.

Steven K Dobscha, Stephen L Luther, Robert D Kerns, Dezon K Finch, Joseph L Goulet, Cynthia A Brandt, Melissa Skanderson, Harini Bathulapalli, Samah J Fodeh, Bridget Hahm and 3 more

Open access · greenAbstract read
In one paragraph

Article in The journal of pain, 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
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

13 authors at 3 institutions in 1 country.

Steven K DobschaDepartment of Psychiatry, Oregon Health & Science University, Portland, Oregon; VA Portland Health Care System, Center to Improve Veteran Involvement in Care (CIVIC), Portland, Oregon. Electronic address: steven.dobscha@va.gov.
Stephen L LutherResearch Service, James A. Haley Veterans Hospital, Tampa, Florida; College of Public Health, University of South Florida, Tampa, Florida.
Robert D KernsVA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut; Yale School of Medicine Department of Psychiatry and Neurology, New Haven, Connecticut.
Dezon K FinchResearch Service, James A. Haley Veterans Hospital, Tampa, Florida.
Joseph L GouletVA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut; Yale School of Medicine Department of Emergency Medicine, New Haven, Connecticut.
Cynthia A BrandtVA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut; Yale School of Medicine Department of Emergency Medicine, New Haven, Connecticut.
Melissa SkandersonVA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut.
Harini BathulapalliVA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut.
Samah J FodehVA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut; Yale School of Medicine Department of Emergency Medicine, New Haven, Connecticut.
Bridget HahmResearch Service, James A. Haley Veterans Hospital, Tampa, Florida.
Lina BouayadResearch Service, James A. Haley Veterans Hospital, Tampa, Florida; Information Systems and Business Analytics, College of Business, Florida International University, Miami, Florida.
Allison LeeVA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut; Yale School of Medicine Department of Psychiatry and Neurology, New Haven, Connecticut.
Ling HanVA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut; Yale School of Medicine Department of Internal Medicine, New Haven, Connecticut.
VA Connecticut Healthcare System · USJames A. Haley Veterans' Hospital · USVA Portland Health Care System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Pain Care Quality and Integrated and Complementary Health ApproachesR01AT008448 · NCCIH · YALE UNIVERSITY · PI BRANDT, CYNTHIA A., KERNS, ROBERT D · 2014 to 2018
$2.6M
Musculoskeletal Diagnoses Cohort: Examining Pain and Pain Care in the VAI01HX000971 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI BRANDT, CYNTHIA A., GOULET, JOSEPH LUCIEN · 2013 to 2013
–
HSRD VA I01 HX000971HSRD VA I01 HX002308HSRD VA I01 HX002679HSRD VA IIR 14-438NCATS NIH HHS UL1 TR001863NCCIH NIH HHS R01 AT008448NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

Prior research has demonstrated disparities in general medical care for patients with mental health conditions, but little is known about disparities in pain care. The objective of this retrospective cohort study was to determine whether mental health conditions are associated with indicators of pain care quality (PCQ) as documented by primary care clinicians in the Veterans Health Administration (VHA). We used natural language processing to analyze electronic health record data from a national sample of Veterans with moderate to severe musculoskeletal pain during primary care visits in the Fiscal Year 2017. Twelve PCQ indicators were annotated from clinician progress notes as present or absent; PCQ score was defined as the sum of these indicators. Generalized estimating equation Poisson models examined associations among mental health diagnosis categories and PCQ scores. The overall mean PCQ score across 135,408 person-visits was 8.4 (SD = 2.3). In the final adjusted model, post-traumatic stress disorder was associated with higher PCQ scores (RR = 1.006, 95%CI 1.002-1.010, P = .007). Depression, alcohol use disorder, other substance use disorder, schizophrenia, and bipolar disorder diagnoses were not associated with PCQ scores. Overall, results suggest that in this patient population, presence of a mental health condition is not associated with lower quality pain care. PERSPECTIVE: This study used a natural language processing approach to analyze medical records to determine whether mental health conditions are associated with indicators of pain care quality as documented by primary care clinicians. Findings suggest that presence of a diagnosed mental health condition is not associated with lower quality pain care.

Indexed as

Chronic PainVeteransElectronic Health RecordsHumansMental HealthPrimary Health CareQuality of Health CareRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsVeterans HealthMental healthMusculoskeletal painPain careVeterans Health Administration (VHA)

Identifiers

PMID36167230
PMCPMC9898089
OpenAlexW4297181337

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.