Natural family planning (NFP) methods have served many generations well, and in particular, the symptothermal or symptohormonal methods. The comparison of daily mucus and temperature records for individual cycles with daily hormone measurements, which is now possible, shows that some of the assumptions underlying NFP may not be completely accurate. The various methods are inadvertently depending on an element of chance, which, of course, cannot be known by the NFP user. However, it is statistically inevitable that such errors will result eventually in an unexpected pregnancy, and these discrepancies are the likely reason for the method failures. Further research and integration of home hormone measurements with NFP symptoms are needed. Traditional NFP methods, based on the observations of temperature, mucus, and luteinizing hormone, can work well. However, these data are sometimes difficult to interpret, and significant changes in the variables are sometimes "missing" from some cycles. Changes in these variables are elicited by the estrogen and progesterone released from the ovaries. It follows that the direct measures of events in the ovaries are the levels of estrogen and progesterone or their derivatives in blood or urine. Measurements of urinary derivatives of estrogen and progesterone can be used to monitor the ovaries directly and are clearer indicators than traditional NFP methods.
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http://dx.doi.org/10.1177/0024363918756387 | DOI Listing |
Aust N Z J Public Health
December 2024
Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, 6102, Australia.
Objective: Globally, funding 'good causes' is a legitimation tactic for gambling operations. This research aimed to determine if an Australian system allowing tax concessions to not-for-profits (NFPs) meets its primary intention of funding community purpose.
Methods: Not-for-profit (NFP) venues operating electronic gaming machines (EGMs) in the state of Victoria must submit records to the gambling regulator showing contribution to community purposes.
BMJ Open
January 2025
Faculty of Health Sciences, Simon Fraser University, Vancouver, British Columbia, Canada.
Objective: To evaluate the impact of Nurse-Family Partnership (NFP), a home-visiting programme, on exploratory maternal outcomes in British Columbia (BC), Canada.
Design: Pragmatic, parallel arm, randomised controlled trial conducted October 2013-November 2019. Random allocation of participants (1:1) to comparison (existing services) or NFP (plus existing services).
Sci Rep
December 2024
Information Science and Engineering School, Northeastern University, Shenyang, 110819, Liaoning, China.
In this paper, a two-level search strategy fused with an improved no-fit polygon algorithm and improved bat algorithm is proposed to obtain the layout points of multiple vehicles. Additionally, a space-time scheduling strategy is proposed using the Improved D*Lite Algorithm (ID*Lite) and improved Bezier curve to generate the trajectories of individual vehicles. Furthermore, a conflict resolution strategy is introduced to address the collision conflict problem during multi-vehicle scheduling.
View Article and Find Full Text PDFJAMA Netw Open
December 2024
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Importance: Access to appropriate postpartum care is essential for improving maternal health outcomes and promoting maternal health equity.
Objective: To analyze the impact of the Nurse-Family Partnership (NFP) home visiting program on use of routine and emergency postpartum care.
Design, Setting, And Participants: This study was a secondary analysis of a randomized clinical trial that enrolled eligible participants between 2016 and 2020 to receive NFP or usual care from a South Carolina Medicaid program.
Obstet Gynecol
January 2025
Population Studies and Training Center, Brown University, Providence, Rhode Island; the Department of Global Health and Population, Harvard T.H. Chan School of Public Health, the RAND Corporation, Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, and the Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, and the Abdul Latif Jameel Poverty Action Lab (J-PAL), Massachusetts Institute of Technology, and the National Bureau of Economic Research (NBER), Cambridge, Massachusetts; the Cradle-to-Career Data System, State of California, Sacramento, California; and the University of Chicago, Chicago, Illinois.
Objective: To evaluate the effect of an intensive nurse home visiting program on postpartum contraceptive use and birth spacing among individuals with a first pregnancy who were eligible for Medicaid insurance in South Carolina.
Methods: We conducted a nonblinded, randomized controlled trial of the Nurse-Family Partnership (NFP), an established intensive home visiting program that provides prenatal and postpartum home visits through 2 years after childbirth. The trial included patients who were eligible for Medicaid insurance with a first pregnancy at less than 28 weeks of gestation between April 1, 2016, and March 17, 2020, who were followed up through 2 years after childbirth.
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