Sarah E Harkins, Ismael I Hulchafo, Jihye Kim Scroggins, Caroline Walsh, Meghan Didier, Maxim Topaz, Veronica Barcelona
{"title":"Patient Disability Status and the Use of Stigmatizing Language in Clinical Notes During Hospital Admission for Birth.","authors":"Sarah E Harkins, Ismael I Hulchafo, Jihye Kim Scroggins, Caroline Walsh, Meghan Didier, Maxim Topaz, Veronica Barcelona","doi":"10.1016/j.jogn.2025.08.003","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To examine the association between patient disability status and use of stigmatizing language in clinical notes from the hospital admission for birth.</p><p><strong>Design: </strong>Cross-sectional study of electronic health record data.</p><p><strong>Setting: </strong>Two urban hospitals in the northeastern United States.</p><p><strong>Participants: </strong>Patients at more than 20 weeks gestation admitted for birth from 2017 to 2019 (N = 19,094).</p><p><strong>Methods: </strong>We used a natural language processing algorithm to identify categories of stigmatizing language used in free-text clinical notes (N = 211,841 unique clinical notes). We employed multivariable logistic regression to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for each stigmatizing language category by disability status, which we determined by ICD-10 (International Classification of Diseases, 10th revision) codes.</p><p><strong>Results: </strong>Approximately 3% of patient records (n = 550) included ICD-10 codes for disability. Clinicians were more likely to use stigmatizing language for patients with disabilities compared with patients without disabilities (aOR = 1.75, 95% CI = [1.47, 2.09]). For patients with disabilities compared with patients without disabilities, clinicians were also more likely to use stigmatizing language in the difficult patient category (aOR = 1.96, 95% CI = [1.65, 2.33]) and the unilateral/authoritarian decisions category (aOR = 1.27, 95% CI = [1.06, 1.53]). We found no significant differences for the marginalized language/identities category by patient disability status (aOR = 1.19, 95% CI = [0.87, 1.62]).</p><p><strong>Conclusion: </strong>The use of stigmatizing language in birth hospitalization notes differed by patient disability status. Stigmatizing language should be used as a marker of bias and an opportunity for clinicians to reflect on their thoughts, words, and actions. Patient-centered documentation and care practices are needed to improve perinatal health for all.</p>","PeriodicalId":54903,"journal":{"name":"Jognn-Journal of Obstetric Gynecologic and Neonatal Nursing","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jognn-Journal of Obstetric Gynecologic and Neonatal Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jogn.2025.08.003","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To examine the association between patient disability status and use of stigmatizing language in clinical notes from the hospital admission for birth.
Design: Cross-sectional study of electronic health record data.
Setting: Two urban hospitals in the northeastern United States.
Participants: Patients at more than 20 weeks gestation admitted for birth from 2017 to 2019 (N = 19,094).
Methods: We used a natural language processing algorithm to identify categories of stigmatizing language used in free-text clinical notes (N = 211,841 unique clinical notes). We employed multivariable logistic regression to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for each stigmatizing language category by disability status, which we determined by ICD-10 (International Classification of Diseases, 10th revision) codes.
Results: Approximately 3% of patient records (n = 550) included ICD-10 codes for disability. Clinicians were more likely to use stigmatizing language for patients with disabilities compared with patients without disabilities (aOR = 1.75, 95% CI = [1.47, 2.09]). For patients with disabilities compared with patients without disabilities, clinicians were also more likely to use stigmatizing language in the difficult patient category (aOR = 1.96, 95% CI = [1.65, 2.33]) and the unilateral/authoritarian decisions category (aOR = 1.27, 95% CI = [1.06, 1.53]). We found no significant differences for the marginalized language/identities category by patient disability status (aOR = 1.19, 95% CI = [0.87, 1.62]).
Conclusion: The use of stigmatizing language in birth hospitalization notes differed by patient disability status. Stigmatizing language should be used as a marker of bias and an opportunity for clinicians to reflect on their thoughts, words, and actions. Patient-centered documentation and care practices are needed to improve perinatal health for all.
期刊介绍:
JOGNN is a premier resource for health care professionals committed to clinical scholarship that advances the health care of women and newborns. With a focus on nursing practice, JOGNN addresses the latest research, practice issues, policies, opinions, and trends in the care of women, childbearing families, and newborns.
This peer-reviewed scientific and technical journal is highly respected for groundbreaking articles on important - and sometimes controversial - issues. Articles published in JOGNN emphasize research evidence and clinical practice, building both science and clinical applications. JOGNN seeks clinical, policy and research manuscripts on the evidence supporting current best practice as well as developing or emerging practice trends. A balance of quantitative and qualitative research with an emphasis on biobehavioral outcome studies and intervention trials is desired. Manuscripts are welcomed on all subjects focused on the care of women, childbearing families, and newborns.