scholarly journals Health Care Access, Costs, and Treatment Dynamics: Evidence from In Vitro Fertilization

2018 ◽  
Vol 108 (12) ◽  
pp. 3725-3777 ◽  
Author(s):  
Barton H. Hamilton ◽  
Emily Jungheim ◽  
Brian McManus ◽  
Juan Pantano
Keyword(s):  
In Vitro Fertilization ◽  
Health Care Access ◽  
Treatment Success ◽  
Vitro Fertilization ◽  
Insurance Mandates ◽  
Care Access ◽  
Policy Simulations ◽  
Improve Patient ◽  
Improve Access

We study public policies designed to improve access and reduce costs for in vitro fertilization (IVF). High out-of-pocket prices can deter potential patients from IVF, while active patients have an incentive to risk costly high-order pregnancies to improve their odds of treatment success. We analyze IVF’s rich choice structure by estimating a dynamic model of patients’ choices within and across treatments. Policy simulations show that insurance mandates for treatment or hard limits on treatment aggressiveness can improve access or costs, but not both. Insurance plus price-based incentives against risky treatment, however, can together improve patient welfare and reduce medical costs. (JEL G22, I11, I13, I18, J13, J16)

scholarly journals The effectiveness of collaborative infertility counseling (CIC) on pregnancy outcome in infertile women undergoing in vitro fertilization: A randomized controlled trial

2019 ◽  
Author(s):  
Mahboobeh Rasoulzadeh Bidgoli ◽  
robab latifnejad roudsari ◽  
ali montazeri
Keyword(s):  
In Vitro Fertilization ◽  
Pregnancy Rate ◽  
Treatment Success ◽  
Intervention Group ◽  
Control Group ◽  
Vitro Fertilization ◽  
Infertile Women ◽  
Significant Difference ◽  
And Control

Abstract Background: Infertility is an emotional tension which influences the whole aspects of relationships in infertile couples. A main objective of infertility treatments is elevation of pregnancy rate. The present study aimed to examine the effect of collaborative counseling on pregnancy rate in infertile women, undergoing in vitro fertilization in Mashhad, Iran. Methods: In this clinical trial, 60 women with primary infertility were selected from an infertility research center and were randomly allocated into intervention (n=29) and control (n=31) groups. The intervention group received individual counseling, based on the collaborative reproductive healthcare model with collaboration of a midwife, a gynecologist and a clinical psychologist in five sessions during a two-month period. The control group received routine care. Positive pregnancy test was considered as a criterion of treatment success at the end of the study. Data were analyzed using statistical tests including independent samples t-test. Results: There was no significant difference in pregnancy rate between intervention and control groups (P = 0.298). Also, there were no significant differences in follicle and embryo numbers between two groups. However, a significant difference was observed between two groups in terms of oocyte numbers where the intervention group had more oocyte (P = 0.014). Conclusion: Overall the findings indicated that the collaborative infertility counseling did not improve treatment success in infertile women undergoing in vitro fertilization

scholarly journals Can Women Have Children and a Career? IV Evidence from IVF Treatments

2017 ◽  
Vol 107 (6) ◽  
pp. 1611-1637 ◽  
Author(s):  
Petter Lundborg ◽  
Erik Plug ◽  
Astrid Würtz Rasmussen
Keyword(s):  
Labor Market ◽  
In Vitro Fertilization ◽  
Labor Supply ◽  
Causal Effect ◽  
Treatment Success ◽  
Extensive Margin ◽  
Vitro Fertilization ◽  
Childless Women ◽  
Fertility Variation

This paper introduces a new IV strategy based on IVF (in vitro fertilization) induced fertility variation among childless women to estimate the causal effect of having children on their career. For this purpose, we use administrative data on IVF treated women in Denmark. Because observed chances of IVF success do not depend on labor market histories, IVF treatment success provides a plausible instrument for childbearing. Our IV estimates indicate that fertility effects on earnings are: (i) negative, large, and long-lasting; (ii) driven by fertility effects on hourly earnings and not so much on labor supply; and (iii) much stronger at the extensive margin than at the intensive margin. (JEL D82, J13, J16, J22, J31, J32)

scholarly journals Evaluation of Uterine Cavity Abnormality using Saline Infusion Sonohysterography Before In Vitro Fertilization

2021 ◽  
Vol 9 (B) ◽  
pp. 917-920
Author(s):  
Ichwanul Adenin ◽  
Hilma Putri Lubis ◽  
Binarwan Halim
Keyword(s):  
In Vitro Fertilization ◽  
Treatment Success ◽  
Uterine Cavity ◽  
Saline Infusion ◽  
Infertile Woman ◽  
Success Rates ◽  
Endometrial Polyps ◽  
Vitro Fertilization ◽  
Saline Infusion Sonohysterography

BACKGROUND: Some studies suggested that saline infusion sonohysterography (SIS) has been used to detect uterine cavity abnormalities before in vitro fertilization (IVF) cycles to improve treatment success rates and decrease the number of cycle cancellations and embryo implantation failures. Some of the factors contributing to the dissemination and acceptance of the technique include the fact that it is a simple, less painful, less expensive, less invasive, and well-tolerated procedure when compared to hysteroscopy. AIM: The aim of the study is to evaluate uterine cavity abnormality with SIS performed before IVF. METHODS: A descriptive retrospective study involving 551 female partners who had SIS before IVF/ICSI treatment at private Halim Fertility Center from January 2014 until December 2017. Five hundred and fifty-one infertile woman was included in this study before IVF/ICSI cycles. Patients agreed to have an ultrasound assessment of the uterine cavity with the use of saline as the contrast medium. SIS procedure was scheduled postmenstrual period in the early-mid follicular phase and 1-3 months before starting IVF/ICSI treatment. RESULTS: From 551 patients, we found 527 (94.4%) cases with the normal uterine cavity. The uterine cavity abnormalities were detected in 5.56% of cases included in this study (28 (5.02%) cases with endometrial polyps, two (0.36%) cases with intrauterine adhesions, and one (0.18%) case with Müllerian duct anomalies). CONCLUSION: SIS before IVF treatment could be a good option for evaluating uterus cavity before IVF to improve success rates of pregnancy.

State Insurance Mandates and Multiple Birth Rates After In Vitro Fertilization

2016 ◽  
Vol 128 (6) ◽  
pp. 1205-1214 ◽  
Author(s):  
Meredith P. Provost ◽  
Samantha M. Thomas ◽  
Jason S. Yeh ◽  
William W. Hurd ◽  
Jennifer L. Eaton
Keyword(s):  
In Vitro Fertilization ◽  
Multiple Birth ◽  
Birth Rates ◽  
Vitro Fertilization ◽  
Insurance Mandates

The impact of insurance mandates on multiple birth rates following in vitro fertilization

2015 ◽  
Vol 104 (3) ◽  
pp. e16
Author(s):  
M.P. Provost ◽  
J.S. Yeh ◽  
S.M. Thomas ◽  
W.W. Hurd ◽  
J.L. Eaton
Keyword(s):  
In Vitro Fertilization ◽  
Multiple Birth ◽  
Birth Rates ◽  
Vitro Fertilization ◽  
Insurance Mandates ◽  
The Impact

scholarly journals Utilizing FMR1 Gene Mutations as Predictors of Treatment Success in Human In Vitro Fertilization

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e102274 ◽  
Author(s):  
Vitaly A. Kushnir ◽  
Yao Yu ◽  
David H. Barad ◽  
Andrea Weghofer ◽  
Eric Himaya ◽  
...  
Keyword(s):  
In Vitro Fertilization ◽  
Treatment Success ◽  
Gene Mutations ◽  
Fmr1 Gene ◽  
Vitro Fertilization ◽  
Human In Vitro Fertilization

scholarly journals Omics and Artificial Intelligence to Improve In Vitro Fertilization (IVF) Success: A Proposed Protocol

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 743
Author(s):  
Charalampos Siristatidis ◽  
Sofoklis Stavros ◽  
Andrew Drakeley ◽  
Stefano Bettocchi ◽  
Abraham Pouliakis ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
In Vitro Fertilization ◽  
Treatment Options ◽  
Treatment Success ◽  
Multiple Gestation ◽  
Success Rates ◽  
Neural Network Models ◽  
Vitro Fertilization ◽  
Infertile Couples

The prediction of in vitro fertilization (IVF) outcome is an imperative achievement in assisted reproduction, substantially aiding infertile couples, health systems and communities. To date, the assessment of infertile couples depends on medical/reproductive history, biochemical indications and investigations of the reproductive tract, along with data obtained from previous IVF cycles, if any. Our project aims to develop a novel tool, integrating omics and artificial intelligence, to propose optimal treatment options and enhance treatment success rates. For this purpose, we will proceed with the following: (1) recording subfertile couples’ lifestyle and demographic parameters and previous IVF cycle characteristics; (2) measurement and evaluation of metabolomics, transcriptomics and biomarkers, and deep machine learning assessment of the oocyte, sperm and embryo; (3) creation of artificial neural network models to increase objectivity and accuracy in comparison to traditional techniques for the improvement of the success rates of IVF cycles following an IVF failure. Therefore, “omics” data are a valuable parameter for embryo selection optimization and promoting personalized IVF treatment. “Omics” combined with predictive models will substantially promote health management individualization; contribute to the successful treatment of infertile couples, particularly those with unexplained infertility or repeated implantation failures; and reduce multiple gestation rates.

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