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Smartphone-based fertility awareness methods with home-based urinary hormonal testing are gaining popularity for fertility tracking. In our university-affiliated family practice, we integrated a previously developed ovulation tracking application into a protocol for monitoring urinary sex hormones and cervical secretions. Serum progesterone was used to confirm the luteal phase, with levels ≥ 15.9 nmol/L ensuring confirmation. Data from 110 women seen for infertility treatment (n = 95) or family planning advice (n = 15) and using our ovulation prediction protocol showed that most opted for a combination of cervical mucus and luteinizing hormone testing (n = 86). Among those using it for family planning, the median usage among women spanned 56 cycles, and 13 cycles per woman required progesterone testing for confirmation. Thirteen patients are still using the method without unintended pregnancies. No unintended pregnancies occurred. Confidence in tests based on serum progesterone was high (93%). For infertility, the method helped in the identification of anovulation, evaluating treatment response, and in diagnosing subfertility causes. This proof-of-concept retrospective descriptive case series suggests the potential for smartphone-based monitoring in fertility management, urging further studies for application enhancements and prospective validation. [ABSTRACT FROM AUTHOR]

(1) Background: FABMs (fertility awareness-based methods) are methods that rely on the observation of clinical signs related to fertility found in women, the so-called fertility bioindicators. They can be a valuable tool for diagnosing monthly cycle disorders and infertility, for example, among patients with PCOS (polycystic ovary syndrome). Until now, it has been difficult for women with PCOS to use FABM, due to the difficulty of describing fertility bioindicators and their disorders due to the biology of the syndrome. The new InVivo sympto-thermal method with standardized cervical mucus assessment may provide a valuable diagnostic and therapeutic tool for observing the monthly cycle in this group of women. (2) Methods: The monthly cycle was evaluated in a group of 32 women of reproductive age. A total of 108 monthly cycle observation cards were analyzed: 35 monthly cycle cards were collected from 18 women with PCOS, and 73 monthly cycle cards collected from 14 healthy women. In addition, 32 pairs of macroscopic and microscopic images were evaluated: 17 pairs from the study group (four subjects) and 15 pairs from women in the control group (six subjects). (3) Results: We showed that in the group of patients with PCOS, menstruation was longer (p = 0.000814), the number of mucus peaks was statistically higher (p = 0.040747), and the interquartile range (IQR) of the duration of the follicular phase (calculated according to the BBT) was significantly higher (8 days) compared to women in the control group. We also observed that among all the women studied, the microscopic image of cervical mucus correlated with the cycle phase described in the observation card, as determined by reference to the BBT chart, provided that it showed the correct features. (4) Conclusions: Systematic maintenance of monthly cycle observation charts using the InVivo method can be an important supplement to the medical history, as it allows for a thorough assessment of, among others, the timing of monthly bleeding, cervical mucus symptoms, BBT changes, and the duration of the follicular and luteal phases among both healthy and PCOS women. [ABSTRACT FROM AUTHOR]

Polycystic ovary syndrome (PCOS) is the most common cause of anovulatory infertility. Absent, impaired, or rare ovulation induces progesterone deficiency in the luteal phase, which is a critical problem in PCOS. A usual pattern of progesterone administration from a fixed and arbitrary pre-determined day of a menstrual cycle may preserve infertility but can easily be avoided. We present the case of a 29-year-old infertile woman who had been ineffectively treated for over two years. We introduced a line of therapy that was suited to her individual menstrual cycle by implementing biomarker recording. Supplementation based on a standardized observation of the basal body temperature (BBT) and cervical mucus stopped the vicious circle of absent ovulation and hyperandrogenism, restoring regular bleeding, ovulation cycles, and fertility. The implementation of a reliable fertility awareness method (FAM), accompanied by a standardized teaching methodology and periodic review of the observations recorded by the patient, validated through an ultrasound examination and plasma gonadotropins, estrogens, and progesterone concentrations, is key to achieving therapeutic success. The presented case is an example of a clinical vignette for many patients who have successfully managed to improve their fertility and pregnancy outcomes by applying the principles of a personalized treatment approach together with gestagens by recording their fertility biomarkers. [ABSTRACT FROM AUTHOR]

Smartphone apps for monitoring bodily signs of ovulation are growing in popularity and becoming increasingly important tools for facilitating or preventing pregnancy. This article explores heterosexual women's experiences of using fertility apps in the context of trying to conceive. Specifically, it focuses on a feature of fertility apps that enables women to share information about fertility with a male partner. This feature is frequently lauded by apps as providing an opportunity for partners to be more actively involved in the work of trying to conceive. With this focus, the article makes two key contributions to the emerging literature on fertility apps. Firstly, it situates narratives in apps that promote the shared responsibility for conception as part of a pre-parenting culture that values a shared commitment to (future) parenthood. Secondly, drawing on interviews with women in the UK who had used fertility apps, it explores women's perspectives on involving their male partners in pregnancy planning. Rather than redistributing conceptive fertility work, women's experiences reveal how cultural assumptions about heterosexuality and 'natural conception' significantly curtail their ability to engage partners in fertility tracking. As a result, the gendered divisions of fertility work are reconfigured in the new sociotechnical context of fertility app use. [ABSTRACT FROM AUTHOR]

Background and Objectives: Home fertility assessment methods (FAMs) for natural family planning (NFP) have technically evolved with the objective metrics of urinary luteinizing hormone (LH), estrone-3-glucuronide (E3G) and pregnanediol-3-glucuronide (PDG). Practical and reliable algorithms for timing the phase of cycle based upon E3G and PDG levels are mostly unpublished and still lacking. Materials and Methods: A novel formulation to signal the transition to the luteal phase was discovered, tested, and developed with a data set of daily E3G and PDG levels from 25 women, 78 cycles, indexed to putative ovulation (day after the urinary LH surge), Day 0. The algorithm is based upon a daily relative progressive change in the ratio, E3G-AUC/PDG-AUC, where E3G-AUC and PDG-AUC are the area under the curve for E3G and PDG, respectively. To improve accuracy the algorithm incorporated a three-fold cycle-specific increase of PDG. Results: An extended negative change in E3G-AUC/PDG-AUC of at least nine consecutive days provided a strong signal for timing the luteal phase. The algorithm correctly identified the luteal transition interval in 78/78 cycles and predicted the start day of the safe period as: Day + 2 in 10/78 cycles, Day + 3 in 21/78 cycles, Day + 4 in 28/78 cycles, Day + 5 in 15/78 cycles, and Day + 6 in 4/78 cycles. The mean number of safe luteal days with this algorithm was 10.3 ± 1.3 (SD). Conclusions: An algorithm based upon the ratio of the area under the curve for daily E3G and PDG levels along with a relative PDG increase offers another approach to time the phase of cycle. This may have applications for NFP/FAMs and clinical evaluation of ovarian function.

Background and Objectives: The Fertility Indicator Equation (FIE) has been shown to signal the fertile phase during the ovulatory menstrual cycle. It was hypothesized that this formulation, a product of two sequential normalized changes with a sign indicating direction of change, could be used to identify the transition from ovulatory to luteal phase with daily serum progesterone (P) and urinary pregnanediol-3-glucuronide (PDG) levels. Materials and Methods: Day-specific serum P levels from two different laboratories and day-specific urinary PDG levels from an additional two different laboratories were submitted for FIE analysis. These day-specific levels included mean or median, 5th, 10th, 90th and 95th percentile data. They were indexed to the day of ovulation, day 0, by ultrasonography, serum or urinary luteinizing hormone (LH). Results: All data sets showed a clear “cluster”—a periovulatory sequence of positive FIE values with a maximum. All clusters of +FIE signaled the transition from the ovulatory to luteal phase and were at least four days in length. The start day for the serum P and urinary PDG FIE clusters ranged from −3 to −1 and −3 to +2, respectively. The end day for serum P and PDG clusters went from +2 to +7 and +4 to +8, respectively. Outside these periovulatory FIE-P and FIE-PDG clusters, there were no consecutive positive FIE values. In addition, the maximum FIE-P and FIE-PDG values throughout the entire cycles were found in the clusters. Conclusions: FIE analysis with either daily serum P or urinary PDG levels provided a distinctive signature to recognize the periovulatory interval. The Fertility Indicator Equation served to robustly signal the transition from the ovulatory phase to the luteal phase. This may have applications in natural family planning especially with the recent emergence of home PDG tests.

INTRODUCTION: The post-conflict Acholi sub-region of Uganda is undergoing a period of transition that is influencing access, acceptability and use of family planning (FP). Low FP use and high unmet need for FP in Uganda's northern region provides a unique opportunity to test a community-based group counseling approach to reduce unintended pregnancies among young couples. We share findings from a proof of concept testing model in delivering fertility awareness methods (FAM) to groups of couples by trained non-health community youth agents. METHODS: The group counseling model was developed for couples interested in two FAM-standard days method (SDM) and TwoDay Method-within rural communities in Northern Uganda. WALAN was tested in a three-month proof of concept phase, employing 24 direct observations of group counseling sessions; quantitative interviews with 9 couples using either SDM or TwoDay method; 2 focus group discussions with youth facilitators and; 9 key informant interviews with providers and leaders. RESULTS: The proof of concept results suggest model feasibility and acceptability among participating communities. Couples learned how to use FAM correctly. All 9 interviewed female users reported 100% correct knowledge of method use. Couples also reported high levels of satisfaction for both methods. SDM and TwoDay Method participants reported comfort and satisfaction in learning about FAM in small groups with other couples. CONCLUSION: The proof of concept phase confirmed intervention feasibility, albeit with some model adjustments. The results were used to inform the pilot intervention, launched in April 2016 within 15 other villages in the same region.

Introduction: The post-conflict Acholi sub-region of Uganda is undergoing a period of transition that is influencing access, acceptability and use of family planning (FP). Low FP use and high unmet need for FP in Uganda's northern region provides a unique opportunity to test a community-based group counseling approach to reduce unintended pregnancies among young couples. We share findings from a proof of concept testing model in delivering fertility awareness methods (FAM) to groups of couples by trained non-health community youth agents. Methods: The group counseling model was developed for couples interested in two FAM-standard days method (SDM) and TwoDay Method-within rural communities in Northern Uganda. WALAN was tested in a three-month proof of concept phase, employing 24 direct observations of group counseling sessions; quantitative interviews with 9 couples using either SDM or TwoDay Method; 2 focus group discussions with youth facilitators, and; 9 key informant interviews with providers and leaders. Results: The proof of concept results suggest model feasibility and acceptability among participating communities. Couples learned how to use FAM correctly. All 9 interviewed female users reported 100% correct knowledge of method use. Couples also reported high levels of satisfaction for both methods. SDM and TwoDay Method participants reported comfort and satisfaction in learning about FAM in small groups with other couples. Conclusion: The proof of concept phase confirmed intervention feasibility, albeit with some model adjustments. The results were used to inform the pilot intervention, launched in April 2016 within 15 other villages in the same region. [ABSTRACT FROM AUTHOR]

ObjectiveTo study the best possible luteinizing hormone (LH) threshold to predict ovulation within the 24, 48, and 72 h.DesignObservational study.SettingMulticenter collaborative study.PatientsA total of 107 women.InterventionsWomen collected daily first morning urine for hormonal assessment and underwent serial ovarian ultrasound. This is a secondary analysis of 283 cycles.Main outcome measuresThe sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios were estimated for varying ranges of LH thresholds. Receiver operating characteristic curves and cost–benefit ratios were used to estimate the best thresholds to predict ovulation.ResultsThe best scenario to predict ovulation at random was within 24 h after the first single positive test. The false-positive rate was found to increase as (1) the cycle progressed or (2) two or three consecutive tests were used, or (3) ovulation was predicted within 48 or 72 h. Testing earlier in the cycle increases the predictive value of the test. The ideal thresholds to predict ovulation ranged between 25 and 30 mIU/ml with a PPV (50–60%), NPV (98%), LR+ (20–30), and LR− (0.5). At least, one day with LH ≥25 mIU/ml followed by three negatives (LH

Background Serum progesterone (P) rises after ovulation in the luteinisation process. Objective To identify an accurate progesterone threshold to confirm ovulation in the assessment of a woman’s fertility. Methods In a secondary analysis of an observational European multicentre study, this study included 107 women over 326 menstrual cycles and tracked daily first morning urine (FMU), changes in observed cervical mucus discharge, serum progesterone, and ultrasonography to identify the day of ovulation. A serum progesterone level was available for 102 women over a total 260 cycles with one or two P levels per cycle. Results It was found that a single serum P ⩾ 5 ng/ml is highly specific with a specificity of 98.4 (95% CI 96.0–99.5), with a sensitivity of 89.6 (95% CI 85.2–92.9). Conclusion A random serum progesterone level ⩾5 ng/ml confirms ovulation. This may be of use for clinicians wanting to confirm that ovulation has occurred. [ABSTRACT FROM AUTHOR]

Objectives To examine Serbian gynaecologists' attitudes and practices related to contraception and abortion, as the principal alternative to contraception. Methods A self-reported questionnaire was administered to a convenience sample of gynaecologists attending educational meetings of a medical society from October 2012 to October 2013. The data gathered were assessed by means of univariate and multivariate analyses. Results Almost half of the respondents had ethical objections and would refuse to provide certain contraceptives to patients. Two thirds of the gynaecologists (63%) considered fertility awareness methods to be a poor option for most women. Twenty-three percent objected to abortion. Those who objected to contraceptives were less likely to object to abortions (OR: 0.422). This attitude was more prevalent in Southern and Eastern Serbia, where gynaecologists were more likely to object (OR: 4.892) and to refuse to prescribe contraceptives (OR: 4.161), but less likely to object to abortion (OR: 0.278) than in other regions. Conclusions A large proportion of Serbian gynaecologists objected to some contraceptive methods and were more in favour of abortions, especially in the least developed regions. [ABSTRACT FROM AUTHOR]

Highlights: [•] We show a new objective urinary hormonal measure that is 100% specific for ovulation. [•] This finding is a secondary analysis of a prospective cohort observational study. [•] The database represents the largest for daily hormones and serial ovarian ultrasound. [•] We tested PDG after a positive urine LH test or the end of fertile cervical mucus. [•] Three consecutive days of PDG testing over 5μg/mL confirmed ovulation. [ABSTRACT FROM AUTHOR]

Background and Objectives: Home fertility assessment methods (FAMs) for natural family planning (NFP) have technically evolved with the objective metrics of urinary luteinizing hormone (LH), estrone-3-glucuronide (E3G) and pregnanediol-3-glucuronide (PDG). Practical and reliable algorithms for timing the phase of cycle based upon E3G and PDG levels are mostly unpublished and still lacking. Materials and Methods: A novel formulation to signal the transition to the luteal phase was discovered, tested, and developed with a data set of daily E3G and PDG levels from 25 women, 78 cycles, indexed to putative ovulation (day after the urinary LH surge), Day 0. The algorithm is based upon a daily relative progressive change in the ratio, E3G-AUC/PDG-AUC, where E3G-AUC and PDG-AUC are the area under the curve for E3G and PDG, respectively. To improve accuracy the algorithm incorporated a three-fold cycle-specific increase of PDG. Results: An extended negative change in E3G-AUC/PDG-AUC of at least nine consecutive days provided a strong signal for timing the luteal phase. The algorithm correctly identified the luteal transition interval in 78/78 cycles and predicted the start day of the safe period as: Day + 2 in 10/78 cycles, Day + 3 in 21/78 cycles, Day + 4 in 28/78 cycles, Day + 5 in 15/78 cycles, and Day + 6 in 4/78 cycles. The mean number of safe luteal days with this algorithm was 10.3 ± 1.3 (SD). Conclusions: An algorithm based upon the ratio of the area under the curve for daily E3G and PDG levels along with a relative PDG increase offers another approach to time the phase of cycle. This may have applications for NFP/FAMs and clinical evaluation of ovarian function. [ABSTRACT FROM AUTHOR]

Objective To assess the sensitivity and specificity of the self-identified fertile window. Design Observational study. Setting Not applicable. Patient(s) A total of 107 women. Intervention(s) Women recorded cervical mucus observation and basal body temperature daily while undergoing daily ovarian ultrasound. Main Outcome Measure(s) The biological fertile window, defined as the 6 days up to and including the day of ovulation; and the 2-day ovulation window, defined as the day before and the day of ovulation. Result(s) The self-identification of the biological fertile window by the observation of any type of cervical mucus provides 100% sensitivity but poor specificity, yielding a clinical fertile window of 11 days. However, the identification of the biological fertile window by peak mucus (defined as clear, slippery, or stretchy mucus related to estrogen) yielded 96% sensitivity and improved specificity. The appearance of the peak mucus preceded the biological fertile window in less than 10% of the cycles. Likewise, this type of mucus identified the ovulation window with 88% sensitivity. Conclusion(s) These results suggest that, when perceived accurately, more accurate clinical self-detection of the fertile window can be obtained by identification of peak mucus. This may improve efforts to focus intercourse in the fertile phase for couples with fertility concerns. [ABSTRACT FROM AUTHOR]