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Full-Text Articles in Medicine and Health Sciences
Nursing Science Research Consulting: A Multidisciplinary Framework, Thomas N. Templin
Nursing Science Research Consulting: A Multidisciplinary Framework, Thomas N. Templin
Nursing Faculty Research Publications
Nursing science research is at the intersection of the social and medical sciences and statistical developments in many different disciplines are relevant. A framework for nursing science statistics which recognizes and builds upon the statistical contributions from biostatistics, quantitative psychology, epidemiology, econometrics, survey research, computer science and statistics is presented. A broad eclectic framework is necessary to take advantage of new developments in statistical and research design methodology addressing specific problems common to a given area. This framework recognizes that awareness of differences in established expectations (conventions, guidelines, regulations, etc.) with regard to statistical methodology across different research areas is …
Healthcare Access And Mammography Screening In Michigan: A Multilevel Cross-Sectional Study, Tomi F. Akinyemiju, Amr S. Soliman, May Yassine, Mousumi Banerjee, Kendra Schwartz, Sofia Merajver
Healthcare Access And Mammography Screening In Michigan: A Multilevel Cross-Sectional Study, Tomi F. Akinyemiju, Amr S. Soliman, May Yassine, Mousumi Banerjee, Kendra Schwartz, Sofia Merajver
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
Breast cancer screening rates have increased over time in the United States. However actual screening rates appear to be lower among black women compared with white women.
Purpose
To assess determinants of breast cancer screening among women in Michigan USA, focusing on individual and neighborhood socio-economic status and healthcare access.
Methods
Data from 1163 women ages 50-74 years who participated in the 2008 Michigan Special Cancer Behavioral Risk Factor Survey were analyzed. County-level SES and healthcare access were obtained from the Area Resource File. Multilevel logistic regression models were fit using SAS Proc Glimmix to account for clustering …