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    SAS institute poisson regression models
    Poisson Regression Models, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Summary of key points from the reviewed studies.

    Journal: Journal of Mother and Child

    Article Title: Childbirth Experiences and Challenges for Women with Sensory Disabilities: A Systematic Review of Delivery Methods and Healthcare Barriers

    doi: 10.34763/jmotherandchild.20242801.d-24-00038

    Figure Lengend Snippet: Summary of key points from the reviewed studies.

    Article Snippet: 7. , Mitra Monika , Pregnancy and Neonatal Outcomes Among Deaf and Hard of Hearing Women ( ) , 2021 , United States of America , It is a retrospective cohort study. It is quantitative research, , The total sample size regarded 8,027,938 deliveries , The sample of deaf women consisted of 5,258 individuals. , The study used data from the National Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project (HCUP). It employed weighted Poisson regression models and multivariable regression models within the STATA computing environment. , The control group consisted of 8,022,680 women without disabilities. , The aim of the study was to compare pregnancy complications and neonatal outcomes between deliveries in women with and without deafness based on national hospital discharge data. , Deaf women had a higher likelihood of delivering via cesarean section compared to non-deaf women. Additionally, deaf women exhibited an increased risk of adverse pregnancy outcomes and chronic medical conditions. , It was found that 35.4% of deliveries among deaf or hard-of-hearing women involved cesarean sections, compared to 32.7% of women in the control sample. The proportion of vaginal deliveries for deaf women was 64.6%, while for women without disabilities it was 67.3%. , The study did not include any component of recontacting the sample , The study’s limitations include potential conservative bias due to incomplete identification of deaf and hard-of-hearing women in hospital records, limited accuracy of coded diagnoses and procedures, lack of detailed reproductive health characteristics in the HCUP-NIS data, inability to establish causation due to its cross-sectional nature, and inability to link maternal and infant hospital records..

    Techniques: Control, Derivative Assay, Magnetic Resonance Imaging, Diagnostic Assay, Comparison, Software, Isolation, Selection, Sequencing