The Creighton Model FertilityCare System (CrMS) teaches women to identify days when intercourse is likely to result in pregnancy. We sought to assess the impact of the CrMS on time to pregnancy (TTP), via per-cycle pregnancy rates (fecundability).
Methods
We conducted a parallel randomised trial at the University of Utah School of Medicine, 2003-06. Women ages 18-35 years, in a relationship of proven fertility, who desired to conceive, were block-randomised and stratified for age, with allocation concealment by opaque sequentially numbered sealed envelopes. The control group received the advice to have intercourse 2-3 times per week, and the intervention group received CrMS instruction. All women were asked to begin trying to conceive starting the second cycle in the study and were followed actively up to seven cycles, without blinding of research personnel. We calculated descriptive statistics and fecundability, and estimated Cox models for TTP. (Clinicaltrials.gov NCT00161395).
Results
There were 143 women randomised: 71 to the control group (all analysed) and 72 to the CrMS group (69 analysed). The adjusted hazard ratio for the influence of CrMS on TTP was 0.86 [95% confidence interval (CI): 0.53, 1.38]. Fecundability in cycles with intent to conceive was 31% in controls and 36% with CrMS (P = 0.32). By the first cycle, fecundability was 17% in controls, and 4% with CrMS (P = 0.02). No adverse events were reported.
Conclusions
We found no significant impact of CrMS on TTP or fecundability, but fewer of the women receiving CrMS conceived by the first cycle.
Creighton Model FertilityCare System pregnancy, CrMS time to pregnancy randomized trial, fertility awareness instruction fecundability, per-cycle pregnancy rate natural method, proven fecundity couples conception timing, prospective randomized trial natural family planning, fertile window identification conception, Creighton Model intercourse timing, natural fertility optimization RCT
PMID 25225008 25225008 DOI 10.1111/ppe.12141 10.1111/ppe.12141
Cite this article
Stanford, J. B., Smith, K. R., & Varner, M. W. (2014). Impact of instruction in the Creighton model fertilitycare system on time to pregnancy in couples of proven fecundity: results of a randomised trial. Paediatric and perinatal epidemiology, 28(5), 391-399. https://doi.org/10.1111/ppe.12141
Stanford JB, Smith KR, Varner MW. Impact of instruction in the Creighton model fertilitycare system on time to pregnancy in couples of proven fecundity: results of a randomised trial. Paediatr Perinat Epidemiol. 2014;28(5):391-399. doi:10.1111/ppe.12141
Stanford, J. B., et al. "Impact of instruction in the Creighton model fertilitycare system on time to pregnancy in couples of proven fecundity: results of a randomised trial." Paediatric and perinatal epidemiology, vol. 28, no. 5, 2014, pp. 391-399.
Keywords
Adolescent, Adult, Female, Humans, Sex Education/methods, Time-to-Pregnancy, Treatment Outcome, Young Adult, Time to Conception, Fecundity, Natural Family Planning, Preconception, Randomized Trial, Time to Pregnancy
Hilgers TW, 2004·The Medical and Surgical Practice of NaProTECHNOLOGY
A CrMS-synchronized hormone sampling protocol is detailed in which progesterone, estradiol, and other reproductive hormones are drawn at cycle-phase-specific time points defined by the charted Peak Day rather than by fixed cycle day, producing a targeted hormone profile that accurately reflects luteal and follicular function. This Peak Day-referenced approach substantially improves the diagnostic sensitivity for luteal phase deficiency, follicular dysfunction, and other endocrine abnormalities that fixed-day sampling routinely misclassifies.
Hilgers TW, 2004·The Medical and Surgical Practice of NaProTECHNOLOGY
Selective hysterosalpingography combined with transcervical fallopian tube catheterization allows both precise diagnosis and non-surgical correction of proximal tubal occlusion, distinguishing true anatomical obstruction from tubal spasm or mucous plugging. In NaProTECHNOLOGY practice, this minimally invasive approach restores tubal patency without laparotomy, preserving natural conception potential in appropriately selected patients.
DeVilbiss EA et al., 2020·Paediatr Perinat Epidemiol
Attaining pregnancy is conditional upon a series of complex processes, including adequately timed intercourse, ovulation, fertilisation, and implantation. Anovulation is a first-line treatment target for couples with difficulty conceiving and is frequently examined in studies of fecundability. To identify whether sporadic anovulation is an important determinant of cumulative pregnancy rates and time to pregnancy among fertile women with regular menstrual cycles. We simulated cumulative pregnancy rates and time to pregnancy for 12 consecutive menstrual cycles among 100 000 women based on data-driven probabilities of implantation, fertilisation, ovulation, and intercourse occurring in the fertile window. We assumed anovulation probabilities of 1%, 8%, or 14.5% and intercourse averaging once per week, every other day, or daily. The model incorporated reductions in implantation and fertilisation rates for successive cycles of non-pregnancy. After 12 cycles, a reduction in the per cycle incidence of anovulation from 14.5% to 1% resulted in a 4.0% higher cumulative pregnancy rate (86.7% vs 90.7%) and similar time to pregnancy (1-cycle median difference). In contrast, increasing mean unscheduled sexual intercourse frequency from weekly to every other day was associated with a 5-cycle median reduction in time to pregnancy (weekly: 7 cycles; 2 cycles) and a 28.9% increase in the cumulative pregnancy rate (weekly: 59.9%, 88.8%; 91.6%). In presumed fertile women with regular menstrual cycles, routine investigation of anovulation may not be an informative outcome in studies of fecundability, and routine testing to ensure ovulation and treatment of anovulation are unlikely to be medically necessary. While biomarkers or cervical fluid may help time intercourse to the fertile window, time to pregnancy can also be improved through increasing the frequency of unscheduled intercourse. These findings need corroboration in large preconception time to pregnancy studies.
Previous research has demonstrated that women instructed in fertility awareness methods can identify the Peak Day of cervical mucus discharge for each menstrual cycle, and the Peak Day has high agreement with other indicators of the day of ovulation. However, previous studies enrolled experienced users of fertility awareness methods or were not fully blinded. To assess the agreement between cervical mucus Peak Day identified by fertile women without prior experience on assessing cervical mucus discharge with the estimated day of ovulation (1 day after urine luteinising hormone surge). This study is a secondary analysis of data from a randomised trial of the Creighton Model FertilityCare(TM) System (CrM), conducted 2003-2006, for women trying to conceive. Women who had no prior experience tracking cervical mucus recorded vulvar observations daily using a standardised assessment of mucus characteristics for up to seven menstrual cycles. Four approaches were used to identify the Peak Day. The referent day was defined as one day after the first identified day of luteinising hormone (LH) surge in the urine, assessed blindly. The percentage of agreement between the Peak Day and the referent day of ovulation was calculated. Fifty-seven women with 187 complete cycles were included. A Peak Day was identified in 117 (63%) cycles by women, 185 (99%) cycles by experts, and 187 (100%) by computer algorithm. The woman-picked Peak Day was the same as the referent day in 25% of 117 cycles, within ±1 day in 58% of cycles, ±2 days in 84%, ±3 days in 87%, and ±4 days in 92%. The ±1 day and ± 4 days' agreement was 50% and 90% for the expert-picked and 47% and 87% for the computer-picked Peak Day, respectively. Women's daily tracking of cervical mucus is a low-cost alternative for identifying the estimated day of ovulation.