Time to Resumption of Menses, Spatial Distribution, and Predictors Among Post-partum Period Women in Ethiopia, Evidence From Ethiopian Demographic and Health Survey 2016 Data: Gompertz Inverse Gaussian Shared Frailty Model

Effectiveness of a Postpartum Breastfeeding Protocol for Avoiding Pregnancy

Schneider MM et al., 2023·Linacre Q

The uses of cervical mucus and basal body temperature as indicators of return to fertility postpartum have resulted in high unintended pregnancy rates. In 2013, a study found that when women used urine hormone signs in a postpartum/breastfeeding protocol this resulted in fewer pregnancies. To improve the original protocol's effectiveness, (1) women were to increase the number of days tested with the Clearblue Fertility Monitor, (2) an optional second luteinizing hormone test could be done in the evening, and (3) instructions were given to manage the beginning of the fertile window for the first six cycles postpartum. The purpose of this study was to determine the correct and typical use effectiveness rates to avoid pregnancy in women who used a revised postpartum/breastfeeding protocol. A cohort review of an established data set from 207 postpartum breastfeeding women who used the protocol to avoid pregnancy was completed using Kaplan-Meier survival analysis. Total pregnancy rates that included correct and incorrect use pregnancies were eighteen per one hundred women over twelve cycles of use. For the pregnancies that met a priori criteria, the correct use pregnancy rates were two per one hundred over twelve months and twelve cycles of use and typical use rates were four per one hundred women at twelve cycles of use. The protocol had fewer unplanned pregnancies than the original, however, the cost of the method increased.

Condoms, IUDs, counseling and natural family planning

Upadhye JJ et al., 2025·Am Fam Physician

Evaluation of a fertility awareness-based shared decision-making tool part 2: Patient experiences

Duane M et al., 2023·PEC Innov

To assess patient experiences using a Shared Decision-Making (SDM) Tool for fertility awareness-based methods (FABMs) of family planning. The study employed a prospective crossover design to evaluate impact of the SDM tool compared to usual practice when discussing FABMs with patients. Patients completed preand post-office visit surveys and an online survey six months later. The primary outcomes evaluated the effect of the SDM tool on patient satisfaction and FABM continuity of use rates. There was no significant difference in likelihood of changing family planning methods immediately after the office visit; however, by six months a significantly larger proportion of patients had started or changed FABMs in the experimental group (52%, 34/66) compared to the control group (36%, 24/66) (p = 0.04). Significantly more patients who used the tool and changed their FABM after their visit reported increased satisfaction with their FABM compared to control (50% vs. 17%, p = 0.022). Use of the SDM tool increased persistent use of and satisfaction with chosen FABMs at six months. The novel SDM tool can enhance patients' understanding and facilitate the selection of a more suitable method leading to increased satisfaction.

A randomized trial of web-based fertility-tracking software and fecundability

Wise LA et al., 2023·Fertil Steril

To assess the effect of randomization to FertilityFriend.com, a mobile computing fertility-tracking app, on fecundability. Parallel non-blinded randomized controlled trial nested within the Pregnancy Study Online (PRESTO), a North American preconception cohort. PATIENT(S): Female participants aged 21 to 45 years attempting conception for ≤6 menstrual cycles at enrolment (2013-2019). Randomization (1:1) of 5532 participants to receive a premium Fertility Friend (FF) subscription. MAIN OUTCOME MEASURE(S): Fecundability (per-cycle probability of conception). Participants completed bimonthly follow-up questionnaires until pregnancy or a censoring event, whichever came first. We first performed an intent-to-treat analysis of the effect of FF randomization on fecundability. In secondary analyses, we used a per-protocol approach that accounted for adherence in each trial arm. In both analyses, we used proportional probabilities regression models to estimate fecundability ratios (FR) and 95% confidence intervals (CI) comparing those randomized vs. not randomized and applied inverse probability weights to account for loss-to-follow-up (intent-to-treat and per-protocol analyses) and adherence (per-protocol analyses only). Using life-table methods, 64% of the 2775 participants randomized to FF and 63% of the 2767 participants not randomized to FF conceived during 12 cycles; these respective percentages were each 70% among those with 0-1 cycles of attempt time at enrolment. Of those randomized to FF, 72% were defined as adherent (68% of observed menstrual cycles). In intent-to-treat analyses, there was no appreciable association overall (FR = 0.97; 95% CI, 0.90-1.04) or within strata of pregnancy attempt time at enrolment, age, education, or other characteristics. In per-protocol analyses, we observed little association overall (FR = 1.06; 95% CI, 0.99-1.14), but weak-to-moderate positive associations among participants who had longer attempt times at enrolment (FR = 1.15; 95% CI, 0.98-1.35 for 3-4 cycles; FR = 1.14; 95% CI, 0.87-1.48 for 5-6 cycles), were aged <25 years (FR = 1.29; 95% CI, 1.01-1.66), had ≤12 years of education (FR = 1.32; 95% CI, 0.92-1.89), or were non-users of hormonal contraception within 3 months before enrolment (FR = 1.10; 95% CI, 1.02-1.19). No appreciable associations were observed in intent-to-treat analyses. In secondary per-protocol analyses that accounted for adherence, randomization to FF was associated with slightly greater fecundability among selected subgroups of participants; however, these results are susceptible to unmeasured confounding.