Alexandra S Ragsdale, Noor Al-Hammadi, Sabel Bass, Niraj R Chavan
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Multilevel logistic regression analyses were performed to identify the effect of race/ethnicity as an independent predictor and as an effect modifier of SMM and APO in patients with SUD. <b><i>Results:</i></b> From 2,508,259 hospitalizations, SUD was identified in 6.7% admissions with the highest rate in White patients (8.2%) followed by Black (7.7%) and Hispanic (2.2%) patients. Rate of SMM and APO were increased in patients with SUD in all racial/ethnic groups compared to those without SUD, increasing by 1% and 10%, respectively. Among all patients, Black race was an independent predictor of SMM (adjusted odds ratio [aOR] 2.09; 95% confidence interval [CI]: 2.05-2.13) and APO (aOR 1.58; 95% CI: 1.56-1.59). Hispanic ethnicity was also an independent risk factor for predicting SMM (aOR 1.40; 95% CI: 1.37-1.43). Among Hispanic patients, SUD was associated with an ∼90% increased likelihood of SMM and APO. <b><i>Conclusion:</i></b> Although higher rates of SMM and APO are seen among hospitalizations of pregnant people with SUD, racial/ethnic disparities also exist among this population. This warrants further attention and presents an opportunity for intervention and for addressing the root causes of racial and ethnic disparities.</p>","PeriodicalId":17636,"journal":{"name":"Journal of women's health","volume":" ","pages":"1166-1174"},"PeriodicalIF":3.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Racial and Ethnic Disparities Among Pregnancies with Substance Use Disorder: Impact on Perinatal Outcomes.\",\"authors\":\"Alexandra S Ragsdale, Noor Al-Hammadi, Sabel Bass, Niraj R Chavan\",\"doi\":\"10.1089/jwh.2023.0619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Objective:</i></b> To examine racial/ethnic disparities in severe maternal morbidity (SMM) and adverse pregnancy outcomes (APOs) among pregnant patients with substance use disorder (SUD) compared to individuals without SUD. <b><i>Materials and Methods:</i></b> We conducted a cross-sectional analysis of inpatient hospitalizations of pregnant people from the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) from 2016 to 2019. ICD-10 codes were used to identify the frequency of SMM and/or APO between those with and without SUD by race/ethnicity. Multilevel logistic regression analyses were performed to identify the effect of race/ethnicity as an independent predictor and as an effect modifier of SMM and APO in patients with SUD. <b><i>Results:</i></b> From 2,508,259 hospitalizations, SUD was identified in 6.7% admissions with the highest rate in White patients (8.2%) followed by Black (7.7%) and Hispanic (2.2%) patients. Rate of SMM and APO were increased in patients with SUD in all racial/ethnic groups compared to those without SUD, increasing by 1% and 10%, respectively. Among all patients, Black race was an independent predictor of SMM (adjusted odds ratio [aOR] 2.09; 95% confidence interval [CI]: 2.05-2.13) and APO (aOR 1.58; 95% CI: 1.56-1.59). Hispanic ethnicity was also an independent risk factor for predicting SMM (aOR 1.40; 95% CI: 1.37-1.43). 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引用次数: 0
摘要
目的研究患有药物使用障碍(SUD)的孕妇与未患有药物使用障碍的孕妇在严重孕产妇发病率(SMM)和不良妊娠结局(APOs)方面的种族/民族差异。材料与方法:我们对 2016 年至 2019 年期间医疗成本与利用项目(HCUP)全国住院患者样本(NIS)中的孕妇住院情况进行了横断面分析。采用 ICD-10 编码,按种族/民族识别有 SUD 和无 SUD 患者的 SMM 和/或 APO 频率。进行了多层次逻辑回归分析,以确定种族/民族作为 SUD 患者 SMM 和 APO 的独立预测因子和效应调节因子的影响。结果在 2,508,259 例住院病例中,有 6.7% 的住院病例被确定为 SUD,其中白人患者的比例最高(8.2%),其次是黑人患者(7.7%)和西班牙裔患者(2.2%)。与无 SUD 患者相比,所有种族/族裔群体中 SUD 患者的 SMM 和 APO 患病率均有所上升,分别增加了 1%和 10%。在所有患者中,黑人是SMM(调整赔率比[aOR]2.09;95% 置信区间[CI]:2.05-2.13)和APO(aOR 1.58;95% 置信区间:1.56-1.59)的独立预测因素。西班牙裔也是预测 SMM 的独立风险因素(aOR 1.40;95% CI:1.37-1.43)。在西班牙裔患者中,SUD 与 SMM 和 APO 的可能性增加 90% 相关。结论:虽然在患有 SUD 的孕妇住院患者中,SMM 和 APO 的发病率较高,但这一人群中也存在种族/族裔差异。这值得进一步关注,并为干预和解决种族和民族差异的根本原因提供了机会。
Racial and Ethnic Disparities Among Pregnancies with Substance Use Disorder: Impact on Perinatal Outcomes.
Objective: To examine racial/ethnic disparities in severe maternal morbidity (SMM) and adverse pregnancy outcomes (APOs) among pregnant patients with substance use disorder (SUD) compared to individuals without SUD. Materials and Methods: We conducted a cross-sectional analysis of inpatient hospitalizations of pregnant people from the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) from 2016 to 2019. ICD-10 codes were used to identify the frequency of SMM and/or APO between those with and without SUD by race/ethnicity. Multilevel logistic regression analyses were performed to identify the effect of race/ethnicity as an independent predictor and as an effect modifier of SMM and APO in patients with SUD. Results: From 2,508,259 hospitalizations, SUD was identified in 6.7% admissions with the highest rate in White patients (8.2%) followed by Black (7.7%) and Hispanic (2.2%) patients. Rate of SMM and APO were increased in patients with SUD in all racial/ethnic groups compared to those without SUD, increasing by 1% and 10%, respectively. Among all patients, Black race was an independent predictor of SMM (adjusted odds ratio [aOR] 2.09; 95% confidence interval [CI]: 2.05-2.13) and APO (aOR 1.58; 95% CI: 1.56-1.59). Hispanic ethnicity was also an independent risk factor for predicting SMM (aOR 1.40; 95% CI: 1.37-1.43). Among Hispanic patients, SUD was associated with an ∼90% increased likelihood of SMM and APO. Conclusion: Although higher rates of SMM and APO are seen among hospitalizations of pregnant people with SUD, racial/ethnic disparities also exist among this population. This warrants further attention and presents an opportunity for intervention and for addressing the root causes of racial and ethnic disparities.
期刊介绍:
Journal of Women''s Health is the primary source of information for meeting the challenges of providing optimal health care for women throughout their lifespan. The Journal delivers cutting-edge advancements in diagnostic procedures, therapeutic protocols for the management of diseases, and innovative research in gender-based biology that impacts patient care and treatment.
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