View clinical trials related to Family Characteristics.
Filter by:The aim of this study was to investigate the effect of family characteristics on functional level in children with Spastic Type Cerebral Palsy who are able to walk.
The goal of this cross-sectional study is to compare the motives for the desire to have children in different sexual-romantic orientation. The main question[s] it aims to answer are: - Do all orientations have the same motives for the desire to have children? - What are the preferred methods for having a child for the different orientations Participants will answer an online questionaire . Researchers will compare the different orientations to see if there are differences.
In the 21st century, the importance of family health history will increase as it will be essential to put detailed personal genetic information into the context of an individual's health, namely the context of how the shared code has played out in an individual and his/her closest relatives. These scientific developments in the investigators' understanding of genetics will demand a more comprehensive family history dataset for all patients, and the time limitations on healthcare providers demand a technology-driven solution that integrates an individual's knowledge of their family history with the medical records maintained by their health care providers. A solution does not currently exist by which most Americans can organize their family health history and then place it into their electronic health record (EHR). The investigators propose to develop and compare three different ways of proactively collecting family history information from patients using computer technology independent of a health care visit, including telephone (interactive voice response technology), tablet computers in a physician's waiting room, and a secure internet portal at home. These tools will be based on the US Surgeon General's My Family Health Portrait, an electronic family history collection tool. Family history data will be transferred and integrated with a patient's EHR in a large primary care network. This project will seek to demonstrate that family history data can be accurately reported by diverse patients using these technologies, and that these data can be integrated to tailor an individual's health care based on their familial risk.