Rhonda Zwingerman1, Michael Chaikof2, Claire Jones3. 1. Mount Sinai Fertility, Mount Sinai Hospital, Toronto, ON; Department of Obstetrics and Gynaecology, University of Toronto, Toronto, ON. Electronic address: rhonda.zwingerman@sinaihealth.ca. 2. Department of Obstetrics and Gynaecology, University of Toronto, Toronto, ON. 3. Mount Sinai Fertility, Mount Sinai Hospital, Toronto, ON; Department of Obstetrics and Gynaecology, University of Toronto, Toronto, ON.
Abstract
OBJECTIVE: This study sought to review and appraise Apple App Store applications (apps) designed for menstrual cycle tracking, ovulation prediction, and other topics related to fertility or the management of infertility. METHODS: The Apple App Store was systematically searched using the keywords "period tracker," "menstrual tracker," "fertility," "ovulation," "IVF," and "in vitro fertilization." Apps were downloaded after being screened against pre-defined inclusion criteria. Included apps were independently reviewed by two authors. Data were extracted, and an app quality score (AQS) was calculated according to a premade rubric. Apps were assessed on the basis of their general features, menstrual cycle tracking and prediction features, infertility-related features, and usability. RESULTS: A total of 140 apps were included in the final analysis, of which 90 (64.3%) were free. The average AQS was 32.5%. There was no significant difference in AQS between free and paid apps (31.5% vs. 34.2%; P = 0.491). A total of 62 (44.3%) apps made dynamic cycle predictions on the basis of cumulatively input data. Thirty-one apps (22.1%) contained serious inaccuracies in content, tools, or both. Only 25 apps (17.9%) contained information or functions specifically related to infertility or its management. CONCLUSION: Some high-quality menstrual cycle tracking apps are available; however, many more are of low quality, and users should be wary of relying on their predictions to avoid pregnancy or to maximize chances of conception. Few apps specifically address the needs of patients struggling with infertility.
OBJECTIVE: This study sought to review and appraise Apple App Store applications (apps) designed for menstrual cycle tracking, ovulation prediction, and other topics related to fertility or the management of infertility. METHODS: The Apple App Store was systematically searched using the keywords "period tracker," "menstrual tracker," "fertility," "ovulation," "IVF," and "in vitro fertilization." Apps were downloaded after being screened against pre-defined inclusion criteria. Included apps were independently reviewed by two authors. Data were extracted, and an app quality score (AQS) was calculated according to a premade rubric. Apps were assessed on the basis of their general features, menstrual cycle tracking and prediction features, infertility-related features, and usability. RESULTS: A total of 140 apps were included in the final analysis, of which 90 (64.3%) were free. The average AQS was 32.5%. There was no significant difference in AQS between free and paid apps (31.5% vs. 34.2%; P = 0.491). A total of 62 (44.3%) apps made dynamic cycle predictions on the basis of cumulatively input data. Thirty-one apps (22.1%) contained serious inaccuracies in content, tools, or both. Only 25 apps (17.9%) contained information or functions specifically related to infertility or its management. CONCLUSION: Some high-quality menstrual cycle tracking apps are available; however, many more are of low quality, and users should be wary of relying on their predictions to avoid pregnancy or to maximize chances of conception. Few apps specifically address the needs of patients struggling with infertility.
Authors: Adrienne Pichon; Kasey B Jackman; Inga T Winkler; Chris Bobel; Noémie Elhadad Journal: J Am Med Inform Assoc Date: 2022-01-12 Impact factor: 4.497