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1.
J Perinat Med ; 50(8): 1030-1035, 2022 Oct 26.
Artículo en Inglés | MEDLINE | ID: mdl-35570568

RESUMEN

OBJECTIVES: To determine the racial and ethnic compositions of the participants in obstetric randomized controlled trials (RCTs) and compare them to the US general population. METHODS: RCTs published in two premier US journals, American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology from January 2010 to April 2020 were analyzed. The racial and ethnic distributions of the study participants were extracted and expressed as percentages for each article. Obstetrics articles were selected and then further divided into subcategories. Statistical analyses were performed on racial and ethnicity representation in each subcategory compared to a US population norm. RESULTS: Overall, a wide variation of racial and ethnic distribution was noted among studies. However, statistically significant overrepresentation of Non-Hispanic Black population and underrepresentation of White and Asian races were noted while Hispanic population's representation was comparable to the US general population. This observation was persistent across most of the subcategories. CONCLUSIONS: RCTs in the field of Obstetrics showed an overrepresentation of Black population. This observation was unique when we consider the previous reports in other fields of medicine. These findings should be taken into consideration when interpreting the results of RCTs conducted in US.


Asunto(s)
Etnicidad , Obstetricia , Femenino , Humanos , Embarazo , Grupos Raciales , Ensayos Clínicos Controlados Aleatorios como Asunto , Estudios Retrospectivos , Estados Unidos
2.
Birth ; 47(4): 301-303, 2020 12.
Artículo en Inglés | MEDLINE | ID: mdl-33263213
3.
J Perinat Med ; 49(1): 17-22, 2020 Oct 12.
Artículo en Inglés | MEDLINE | ID: mdl-33555148

RESUMEN

OBJECTIVES: In 2014, the American College of Obstetrics and Gynecology published guidelines for diagnosing failed induction of labor (FIOL) and arrest of dilation (AOD) to prevent cesarean delivery (CD). The objectives of this study were to determine the rate of adherence to these guidelines and to compare the association of guideline adherence with physician CD rates and obstetric/neonatal outcomes. METHODS: Retrospective cohort review of singleton primary cesarean deliveries for FIOL and AOD at a single academic institution from 2014 to 2016. Univariate and multivariate analyses were used to compare adherence to the guidelines with physician CD rates and obstetric/neonatal outcomes. RESULTS: Of the 591 cesarean deliveries in the study, 263 were for failed induction, 328 for AOD and 79% (468/591) were not adherent to the American College of Obstetricians and Gynecologists and the Society for Maternal-Fetal Medicine (ACOG/SMFM) guidelines. Of the failed inductions, 82% (215/263) and of the AODs 77% (253/328) were not adherent. There was no difference between adherent and non-adherent CDs with regard to maternal characteristics, or obstetric/neonatal outcomes. Duration of oxytocin use after rupture of membranes, dilation at time of CD, and birth weight were statistically higher in adherent CDs. On multivariate linear regression, physician CD rates were inversely correlated with adherence to ACOG/SMFM guidelines (p<0.0001), gestational age (p=0.007), and parity (p=0.003). CONCLUSIONS: Our study shows that physician non-compliance with ACOG guidelines was high. Adherence to these guidelines was associated with lower physician CD rates, without an increase in obstetric or neonatal complications.


Asunto(s)
Cesárea/normas , Distocia/cirugía , Adhesión a Directriz/estadística & datos numéricos , Trabajo de Parto Inducido , Pautas de la Práctica en Medicina/estadística & datos numéricos , Procedimientos Innecesarios/normas , Adulto , Cesárea/estadística & datos numéricos , Femenino , Humanos , Recién Nacido , Modelos Lineales , Análisis Multivariante , Guías de Práctica Clínica como Asunto , Embarazo , Resultado del Embarazo , Estudios Retrospectivos , Resultado del Tratamiento , Estados Unidos , Procedimientos Innecesarios/estadística & datos numéricos
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