weighted poisson regression models  (STATA Corporation)

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, Biomarker Discovery, Diagnostic Assay, Comparison, Software, Isolation, Selection, Sequencing

Journal: International Journal of Environmental Research and Public Health

Article Title: Area-Level Determinants in Colorectal Cancer Spatial Clustering Studies: A Systematic Review

doi: 10.3390/ijerph181910486

Figure Lengend Snippet: Characteristics of included studies.

Article Snippet: 3 , Mansori et al. (2019), Iran , To determine effective factors on geographic distribution of the CRC incidence in Iran , Ecological , 2815 new cases of CRC from 2008 to 2011 , Geographically Weighted Poisson Regression Model (using GWR 4, Stata 14, ArcGIS 10.3) , The spatial variability was observed with more frequent utilization of health services as indicated by the household health expenditures (Median Incidence Risk Ratios (IRR): 1.39), the cost of diagnosis of the disease (Median IRR: 1.03), the cost of household medicine (Median IRR: 1.05), the cost of hospital admission (Median IRR: 1.09) and the cost of medical visits (Median IRR: 1.27) , Socioeconomic variables (SES) include employment status, education Daily fruit consumption, daily milk consumption, overweight, smoking Health costs variables , Social Biology , Ecological fallacy. Unclear addresses for geocoding. Covariates of age, older than 50 years and overweight.

Techniques: Biomarker Discovery, Northern Blot, Western Blot, Software