Affiliation:
1. Couple to Couple League, Cincinnati, OH, USA
Abstract
This study explores differences in the use of CyclePro Go™ (CPG), a fertility-tracking app developed by Couple to Couple League (CCL), between those exposed to it as a part of natural family planning (NFP) instruction versus those who find it on their own. An anonymous data set of 17,543 CPG accounts opened between April 2013 and June 2016 was used for analysis. Nonmember users opened the most accounts (58 percent, n = 10,134), CCL members represented 38 percent ( n = 6,758) of new accounts, and 207 CCL teachers (4 percent) were using CPG for personal charting. Significantly more nonmember accounts had zero days of use after the initial opening compared to CCL member accounts (61 percent vs. 23 percent, respectively, χ2 = 2,405.9, p < .001). Conversely, significantly more CCL member accounts were used for ninety days or longer than nonmember accounts (47 percent vs. 13 percent, respectively, χ2 = 2,404.2, p < .001). CCL students—those who began using the app as part of a formal NFP teaching curriculum—were more likely to use the app for > six cycles compared to nonmembers. In accounts with at least one complete cycle, CCL students were the most diligent at daily recording (95 percent of cycle days with observation recorded) followed by CCL members (88 percent) and nonmembers (76 percent). CCL teachers had the lowest frequency of cycle days with a recorded observation (73 percent). Within each cohort, accounts with > six recorded cycles had a lower proportion of cycle days with an observation recorded, likely reflecting increasing knowledge of their personal fertility patterns. Long-term users who had no known formal training in NFP still had the lowest proportion cycle days with a fertility observation. We conclude formal NFP instruction increases the probability of long-term app use, and regardless of training, long-term users will likely record observations on about 70 percent of cycle days. Summary: “CyclePro Go™ users with NFP training were more persistent and diligent about daily data input than those without training.”
Cited by
2 articles.
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