Attitudes of Parents at risk of inheriting Li-Fraumeni Syndrome towards predictive genetic testing in their minor-aged children.

Li-Fraumeni Syndrome (LFS) is a hereditary cancer syndrome which predisposes individuals to cancer beginning in childhood. These risks are spread across a lifetime, from early childhood to adulthood. Mutations in the p53 tumor suppressor gene are known to cause the majority of cases of LFS. The risk for early onset cancer in individuals with Li-Fraumeni Syndrome is high. Studies have shown that individuals with LFS have a 90% lifetime cancer risk. Children under 18 have up to a 15% chance of cancer development. Effectiveness of cancer screening and management in individuals with Li-Fraumeni Syndrome is unclear. Screening for LFS-associated cancers has not been shown to reduce mortality. Due to the lack of effective screening techniques for childhood cancers, institutions vary with regard to their policies on testing children for LFS. There are currently no national guidelines regarding predictive testing of children who are at risk of inheriting LFS. No studies have looked at parental attitudes towards predictive p53 genetic testing in their children. This was a cross-sectional pilot study aimed at describing these attitudes. We identified individuals whose children were at risk for inheriting p53 genetic mutations. These individuals were provided with surveys which included validated measures addressing attitudes and beliefs towards genetic testing. The questionnaire included qualitative and quantitative measures. Six individuals completed and returned the questionnaire with a response rate of 28.57%. In general, respondents agreed that parents should have the opportunity to obtain p53 genetic testing for their child. Parents vary in regard to their attitudes towards who should be involved in the decision making process and at what time and under what considerations testing should occur. Testing motivations cited most important by respondents included family history, planning for the future and health management. Concern for insurance genetic discrimination was cited as the most important “con” to genetic testing. Although limited by a poor response rate, this study can give health care practitioners insight into testing attitudes and beliefs of families considering pediatric genetic testing.

The influence of ideological interest groups on congressional financial support of international family planning

The World Health Organization estimates there are about 585,000 maternal deaths each year, with 98% of the maternal deaths in developing countries. Access to family planning methods is one method to decrease maternal mortality and morbidity. ^ The U.S. was the leader in providing financial and technical assistance to developing countries to enable women to have this access. The election of Ronald Regan changed the course of U.S. support; abortion became a central factor in the political decision-making with regards to the financial support of international family planning. ^ One factor that may sway policy-makers' decisions is the influence of ideological interest groups, Political Action Committees funding of candidates in relation to votes on bills that impacted on financial support of international family planning and the amount spent by these groups on lobbyist was reviewed. Pro-choice funding of candidates was greater for the four of the fives votes supporting family planning. Pro-Choice lobbyist spending was $185,000 vs. $8,184,000 spent by Pro-Life ideological groups. ^

Maternal mortality in Texas 2001--2006

Background. Maternal mortality is often used as a measure of health and well being of women across the globe. Improved surveillance efforts at the state level can improve maternal mortality estimates and develop strategies to address the needs of maternal and child health populations. The aims of this study are (1) To provide better estimates of maternal mortality in Texas; (2) To better understand the origin, governance, function, sustainability and impact on policy and practice of maternal mortality review committees at the state level; and (3) To create a comprehensive implementation model for a statewide maternal mortality review committee.^ Methods. AIM I: Analyzed the enhanced surveillance of fetal death and live birth records linked to pregnancy-related and women of childbearing age (15-44 years) deaths records in Texas from 2001-2006. AIM II: Conduct semi-structured telephone interviews of key informants from states with active maternal mortality review committees. AIM III: Develop a comprehensive maternal mortality review committee implementation model for Texas from the results of AIMS I and II. ^ Results. AIM I: Enhanced surveillance methods identified almost 3.5 times more deaths that may be associated with pregnancy than standard methods. The leading cause of pregnancy-associated death from 2001-2006 among all causes, was accidents. The estimated pregnancy-associated mortality ratio for 2001-2006 was 31 maternal deaths per 100,000 live births. Enhanced surveillance confirmed a persistent race/ethnicity trend in maternal mortality. AIM II: Key informant interviews confirmed existing literature on maternal mortality review committees. Sustainability was maintained not only by the funding; but also by the dedication of committee members to conducting reviews and disseminating recommendations to improving quality of care and systems. All statewide committees examined preventability of deaths and provided recommendations to policymakers and stakeholders. Statewide committees also took the initiative to develop and implement programs to align healthcare systems and improve quality of care.^ Conclusion. The comprehensive implementation model for a statewide maternal mortality review committee has the potential to transform the knowledge learned from enhanced surveillance into a systematic effort to evaluate the circumstances surrounding a pregnancy-associated death; influencing policy and practice decisions addressing maternal mortality, women’s health and maternal and child health in Texas.^