Disparities in Preoperative Goals of Care Documentation in Veterans.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 Dec 2023
Historique:
medline: 19 12 2023
pubmed: 19 12 2023
entrez: 19 12 2023
Statut: epublish

Résumé

Preoperative goals of care discussion and documentation are important for patients undergoing surgery, a major health care stressor that incurs risk. To assess the association of race, ethnicity, and other factors, including history of mental health disability, with disparities in preoperative goals of care documentation among veterans. This retrospective cross-sectional study assessed data from the Veterans Healthcare Administration (VHA) of 229 737 veterans who underwent surgical procedures between January 1, 2017, and October 18, 2022. Patient-level (ie, race, ethnicity, medical comorbidities, history of mental health comorbidity) and system-level (ie, facility complexity level) factors. Preoperative life-sustaining treatment (LST) note documentation or no LST note documentation within 30 days prior to or on day of surgery. The standardized mean differences were calculated to assess the magnitude of differences between groups. Odds ratios (ORs) and 95% CIs were estimated with logistic regression. In this study, 13 408 patients (5.8%) completed preoperative LST from 229 737 VHA patients (209 123 [91.0%] male; 20 614 [9.0%] female; mean [SD] age, 65.5 [11.9] years) who received surgery. Compared with patients who did complete preoperative LST, patients tended to complete preoperative documentation less often if they were female (19 914 [9.2%] vs 700 [5.2%]), Black individuals (42 571 [19.7%] vs 2416 [18.0%]), Hispanic individuals (11 793 [5.5%] vs 631 [4.7%]), or from rural areas (75 637 [35.0%] vs 4273 [31.9%]); had a history of mental health disability (65 974 [30.5%] vs 4053 [30.2%]); or were seen at lowest-complexity (ie, level 3) facilities (7849 [3.6%] vs 78 [0.6%]). Over time, despite the COVID-19 pandemic, patients undergoing surgical procedures completed preoperative LST increasingly more often. Covariate-adjusted estimates of preoperative LST completion demonstrated that patients of racial or ethnic minority background (Black patients: OR, 0.79; 95% CI, 0.77-0.80; P <.001; patients selecting other race: OR, 0.78; 95% CI, 0.74-0.81; P <.001; Hispanic patients: OR, 0.78; 95% CI, 0.76-0.81; P <.001) and patients from rural regions (OR, 0.91; 95% CI, 0.90-0.93; P <.001) had lower likelihoods of completing LST compared with patients who were White or non-Hispanic and patients from urban areas. Patients with any mental health disability history also had lower likelihood of completing preoperative LST than those without a history (OR, 0.93; 95% CI, 0.92-0.94; P = .001). In this cross-sectional study, disparities in documentation rates within a VHA cohort persisted based on race, ethnicity, rurality of patient residence, history of mental health disability, and access to high-volume, high-complexity facilities.

Identifiants

pubmed: 38113045
pii: 2813021
doi: 10.1001/jamanetworkopen.2023.48235
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2348235

Auteurs

Adela Wu (A)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.
Department of Neurosurgery, Stanford University School of Medicine, Stanford, California.

Karleen F Giannitrapani (KF)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.
Department of Primary Care and Population Health, Stanford University School of Medicine, Stanford, California.

Ariadna Garcia (A)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.
Quantitative Sciences Unit, School of Medicine, Stanford University, Stanford, California.

Selen Bozkurt (S)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.
Evaluation Sciences Unit, School of Medicine, Stanford University, Stanford, California.

Derek Boothroyd (D)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.
Quantitative Sciences Unit, School of Medicine, Stanford University, Stanford, California.

Alyce S Adams (AS)

Department of Epidemiology and Population Health, Stanford University, Stanford, California.

Kyung Mi Kim (KM)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.
Office of Research Patient Care Services, Stanford Health Care, Palo Alto, California.

Shiqi Zhang (S)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.
Quantitative Sciences Unit, School of Medicine, Stanford University, Stanford, California.

Matthew D McCaa (MD)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.

Arden M Morris (AM)

S-SPIRE Center, Department of Surgery, School of Medicine, Stanford University, Palo Alto, California.
Veterans Affairs Palo Alto Health Care System, US Department of Veterans Affairs, Palo Alto, California.

Scott Shreve (S)

Lebanon VA Medical Center, US Department of Veterans Affairs, Lebanon, Pennsylvania.
Penn State College of Medicine, Hershey, Pennsylvania.

Karl A Lorenz (KA)

VA Health Services Research and Development Center for Innovation to Implementation, VA Palo Alto Health Care System, U.S. Department of Veterans Affairs, Palo Alto, California.
Department of Primary Care and Population Health, Stanford University School of Medicine, Stanford, California.

Classifications MeSH