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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.
Dobscha, Steven K; Luther, Stephen L; Kerns, Robert D; Finch, Dezon K; Goulet, Joseph L; Brandt, Cynthia A; Skanderson, Melissa; Bathulapalli, Harini; Fodeh, Samah J; Hahm, Bridget; Bouayad, Lina; Lee, Allison; Han, Ling.
Afiliación
  • Dobscha SK; Department 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.
  • Luther SL; Research Service, James A. Haley Veterans Hospital, Tampa, Florida; College of Public Health, University of South Florida, Tampa, Florida.
  • Kerns RD; VA 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.
  • Finch DK; Research Service, James A. Haley Veterans Hospital, Tampa, Florida.
  • Goulet JL; VA 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.
  • Brandt CA; VA 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.
  • Skanderson M; VA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut.
  • Bathulapalli H; VA Connecticut Healthcare System, Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center, West Haven, Connecticut.
  • Fodeh SJ; VA 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.
  • Hahm B; Research Service, James A. Haley Veterans Hospital, Tampa, Florida.
  • Bouayad L; Research Service, James A. Haley Veterans Hospital, Tampa, Florida; Information Systems and Business Analytics, College of Business, Florida International University, Miami, Florida.
  • Lee A; VA 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.
  • Han L; VA 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.
J Pain ; 24(2): 273-281, 2023 02.
Article en En | MEDLINE | ID: mdl-36167230
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Veteranos / Dolor Crónico Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Equity_inequality Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Pain Asunto de la revista: NEUROLOGIA / PSICOFISIOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Veteranos / Dolor Crónico Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Equity_inequality Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Pain Asunto de la revista: NEUROLOGIA / PSICOFISIOLOGIA Año: 2023 Tipo del documento: Article