A Framework for Femtech: Guiding Principles for Developing Digital Reproductive Health Tools in the United States

Digital phenotyping of depression during pregnancy using self-report data

BACKGROUND

Depression is a common pregnancy complication yet is often under-detected and, subsequently, undertreated. Data collected through mobile health tools may be used to support the identification of depression symptoms in pregnancy.

METHODS

An observational cohort study of 2062 pregnancies collected self-reports of patient history, mood, pregnancy-specific symptoms, and written language using a prenatal support app. These app inputs were used to model depression risk in subsequent 30- and 60-day periods throughout pregnancy. A selective inference lasso modeling approach examined the individual and additive value of each type of patient-reported app input.

RESULTS

Depression models ranged in predictive power (AUC value of 0.64-0.83), depending on the type of inputs. The most predictive model included personal history, daily mood, and acute pregnancy-related symptoms (e.g., severe vomiting, cramping). Across models, daily mood was the strongest indicator of depression symptoms in the following month. Models that retained natural language inputs typically improved predictive accuracy and offered insight into the lived context associated with experiencing depression.

LIMITATIONS

Our findings are not generalizable beyond a digitally literate patient population that is self-motivated to report data during pregnancy.

CONCLUSIONS

Simple patient reported data, including sparse language, shared directly via digital tools may support earlier depression symptom identification and a more nuanced understanding of depression context.

Sociodemographic Differences in Perspectives on Postpartum Symptom Reporting

OBJECTIVE

 The overall goal of this work is to create a patient-reported outcome (PRO) and decision support system to help postpartum patients determine when to seek care for concerning symptoms. In this case study, we assessed differences in perspectives for application design needs based on race, ethnicity, and preferred language.

METHODS

 A sample of 446 participants who reported giving birth in the past 12 months was recruited from an existing survey panel. We sampled participants from four self-reported demographic groups: (1) English-speaking panel, Black/African American race, non-Hispanic ethnicity; (2) Spanish-speaking panel, Hispanic-ethnicity; (3) English-speaking panel, Hispanic ethnicity; (4) English-speaking panel, non-Black race, non-Hispanic ethnicity. Participants provided survey-based feedback regarding interest in using the application, comfort reporting symptoms, desired frequency of reporting, reporting tool features, and preferred outreach pathway for concerning symptoms.

RESULTS

 Fewer Black participants, compared with all other groups, stated that they had used an app for reporting symptoms (p = 0.02), were least interested in downloading the described application (p < 0.05), and found a feature for sharing warning sign information with friends and family least important (p < 0.01). Black and non-Hispanic Black participants also preferred reporting symptoms less frequently as compared with Hispanic participants (English and Spanish-speaking; all p < 0.05). Spanish-speaking Hispanic participants tended to prefer calling their professional regarding urgent warning signs, while Black and English-speaking Hispanic groups tended to express interest in using an online chat or patient portal (all p < 0.05) CONCLUSION:  Different participant groups described distinct preferences for postpartum symptom reporting based on race, ethnicity, and preferred languages. Tools used to elicit PROs should consider how to be flexible for different preferences or tailored toward different groups.

Measurement of changes to the menstrual cycle: A transdisciplinary systematic review evaluating measure quality and utility for clinical trials

Despite the importance of menstruation and the menstrual cycle to health, human rights, and sociocultural and economic wellbeing, the study of menstrual health suffers from a lack of funding, and research remains fractured across many disciplines. We sought to systematically review validated approaches to measure four aspects of changes to the menstrual cycle-bleeding, blood, pain, and perceptions-caused by any source and used within any field. We then evaluated the measure quality and utility for clinical trials of the identified instruments. We searched MEDLINE, Embase, and four instrument databases and included peer-reviewed articles published between 2006 and 2023 that reported on the development or validation of instruments assessing menstrual changes using quantitative or mixed-methods methodology. From a total of 8,490 articles, 8,316 were excluded, yielding 174 articles reporting on 94 instruments. Almost half of articles were from the United States or United Kingdom and over half of instruments were only in English, Spanish, French, or Portuguese. Most instruments measured bleeding parameters, uterine pain, or perceptions, but few assessed characteristics of blood. Nearly 60% of instruments were developed for populations with menstrual or gynecologic disorders or symptoms. Most instruments had fair or good measure quality or clinical trial utility; however, most instruments lacked evidence on responsiveness, question sensitivity and/or transferability, and only three instruments had good scores of both quality and utility. Although we took a novel, transdisciplinary approach, our systematic review found important gaps in the literature and instrument landscape, pointing towards a need to examine the menstrual cycle in a more comprehensive, inclusive, and standardized way. Our findings can inform the development of new or modified instruments, which-if used across the many fields that study menstrual health and within clinical trials-can contribute to a more systemic and holistic understanding of menstruation and the menstrual cycle.

Feasibility Testing of a Web-Based Reproductive Decision Support Tool for Cystic Fibrosis

BACKGROUND

People with cystic fibrosis (CF) are increasingly considering their reproductive goals. We developed MyVoice:CF, a web-based patient-centered reproductive decision support tool and assessed its implementation in CF care.

METHODS

We conducted a feasibility trial among 18-44-year-old women with CF and multidisciplinary CF providers. Prior to CF clinic visit, patient participants completed a baseline survey, used MyVoice:CF, and assessed acceptability, appropriateness, and usability. After clinic, participants rated impact on reproductive health communication. At 3 months post-use, participants assessed impact on reproductive health outcomes. Provider participants completed a survey and focus group regarding MyVoice:CF feasibility/implementation. We assessed outcomes descriptively. We compared MyVoice:CF's impact on outcomes from baseline to follow-up using McNemar's and Wilcoxon signed rank tests as appropriate.

RESULTS

Forty-three patient participants completed baseline surveys and 40 rated MyVoice:CF's feasibility; 10 providers participated. Patient participants rated MyVoice:CF's acceptability as 4.48±0.50 out of 5, appropriateness as 4.61±0.48 out of 5, and usability as 82.25±11.02 ('A'/excellent). After MyVoice:CF use, participants reported improved reproductive health communication self-efficacy vs. baseline (3.54±1.17vs.3.95±0.93, p<0.001). At baseline, 36% of participants reported any discussion of reproductive goals/plans with their CF team in the past year compared to 59% after first visit post-MyVoice:CF use (p=0.049). Provider participants similarly rated MyVoice:CF as feasible and reported no negative impacts on clinic flow after implementation.

CONCLUSIONS

MyVoice:CF is acceptable, appropriate, and usable for those with CF. Preliminary effectiveness evaluation suggests that MyVoice:CF improves self-efficacy in and frequency of reproductive health communication. Future studies should further assess MyVoice:CF's impact on reproductive health communication and outcomes.

Development of My Decision/Mi Decisión, a web-based decision aid to support permanent contraception decision making

Objective

To develop a patient-centered, web-based decision aid to support informed and value-concordant decision making among Medicaid enrollees considering tubal sterilization.

Methods

We used the Ottawa Decision Support Framework and the International Patient Decision Aids Standards (IPDAS) to guide systematic development of our decision aid. We interviewed 15 obstetrician-gynecologists and 40 women, who had considered or were considering tubal sterilization. A Steering Committee-comprising healthcare providers, social scientists, reproductive health and justice advocates, and people with lived experience-provided feedback and direction. We developed English and Spanish prototypes, which were beta tested with 24 women.

Results

The resulting web-based My Decision/Mi Decisión tool (English/Spanish) includes written and video information about tubal sterilization procedures; an interactive table of contraception options; values clarification exercises; reflection and deliberation; knowledge checks; and a summary report to share with one's provider. Users found the decision aid to be informative, engaging, easy to use, and helpful in informing contraception decision making.

Conclusion

My Decision/Mi Decisión is a scalable tool that could be implemented widely to support informed decision making about tubal sterilization.

Innovation

This is a novel and timely web-based decision tool for tubal sterilization, when demand for permanent contraception is rapidly increasing post-Dobbs. While designed for Medicaid enrollees, further investigation will explore more generalized use.

Adapting a Counseling-Plus-mHealth Intervention for the Virtual Environment to Reduce Sexual and Reproductive Health Risk Among Young Women with Depression

MARSSI (Momentary Affect Regulation - Safer Sex Intervention) is a counseling-plus-mobile health (mhealth) intervention to reduce sexual and reproductive health (SRH) risks for women with depression and high-risk sexual behavior. Due to the COVID-19 pandemic limiting in-person care, we sought to develop the counseling and mhealth app onboarding for virtual implementation. A team with SRH, adolescent medicine, motivational interviewing, cognitive behavioral therapy, and technology expertise adapted the counseling through an iterative consensus process. We identified essential aspects of the counseling, specified the content so the counseling could be delivered in person or virtually with fidelity, and considered best practices for telehealth for the focus population. Virtual counseling retained key elements from in-person counseling while including enhancements with engaging visual and audio-video aids. Instructions and programming were developed to support virtual counseling delivery and onboarding for the mhealth app component of MARSSI. After testing the virtual format in mock sessions, we implemented a small-scale feasibility study in an adolescent medicine clinic with women with depressive symptoms and high-risk sexual behavior age 18-24 years (N = 9). Participants experienced minimal technical difficulties and expressed satisfaction with the virtual format, and all were able to complete app onboarding successfully. Expanding delivery options for SRH interventions to include virtual can improve access, particularly for populations with psychological and environmental barriers to care.

Determinants and Assessment of Menstrual Blood Flow

Purpose of review

a)The modifiable and non-modifiable determinants and the currently available methods of assessment of menstrual blood flow will be discussed, with the goal of helping healthcare providers, researchers, and those interested in public health.

Recent findings

b)Several factors can impact menstruation. The determinants include modifiable factors such as smoking, nutrition, exercise, stress, weight fluctuation, and benign gynecologic diseases, and non-modifiable factors such as age, race, and the individual's genes. The intertwined dynamic among these determinants needs more critical attention. Currently, the methods for the assessment of menstruation all have advantages and disadvantages, often with a tradeoff between practicality and accuracy.

Summary

c)Considered by many as the fifth vital, menstruation provides a window to an individual's general health. The discussion of its determinants and assessment can be more appropriate for individual contexts, especially from a public health perspective as it can improve the reproductive health of the population.

Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data

During pregnancy, almost all women experience pregnancy-related symptoms. The relationship between symptoms and their association with pregnancy outcomes is not well understood. Many pregnancy apps allow pregnant women to track their symptoms. To date, the resulting data are primarily used from a commercial rather than a scientific perspective. In this work, we aim to examine symptom occurrence, course, and their correlation throughout pregnancy. Self-reported app data of a pregnancy symptom tracker is used. In this context, we present methods to handle noisy real-world app data from commercial applications to understand the trajectory of user and patient-reported data. We report real-world evidence from patient-reported outcomes that exceeds previous works: 1,549,186 tracked symptoms from 183,732 users of a smartphone pregnancy app symptom tracker are analyzed. The majority of users track symptoms on a single day. These data are generalizable to those users who use the tracker for at least 5 months. Week-by-week symptom report data are presented for each symptom. There are few or conflicting reports in the literature on the course of diarrhea, fatigue, headache, heartburn, and sleep problems. A peak in fatigue in the first trimester, a peak in headache reports around gestation week 15, and a steady increase in the reports of sleeping difficulty throughout pregnancy are found. Our work highlights the potential of secondary use of industry data. It reveals and clarifies several previously unknown or disputed symptom trajectories and relationships. Collaboration between academia and industry can help generate new scientific knowledge.

The femtech revolution-A new approach to pregnancy management: Digital transformation of maternity care-The hybrid e-health perinatal clinic addressing the unmet needs of low- and middle-income countries

Prenatal care and infant mortality rates are crucial indicators of healthcare quality. However, millions of women in low-income countries lack access to adequate care. Factors such as high-risk pregnancies and unmanaged diet increase the risk of developing complications during pregnancy, highlighting the need for continuous monitoring of maternal health. The increasing burden of non-communicable diseases represents a significant threat to fragile health systems. The lack of access to appropriate prenatal care and poor maternal and newborn health outcomes are major concerns in low- and middle-income countries (LMICs). It emphasizes the need for innovative, integrative approaches to healthcare delivery, especially in pregnant women. The health services need to be reorganized holistically and effectively, focusing on factors that directly impact maternal, neonatal, and infant mortality, resulting in improved access to maternity services and survival of "at-risk" mothers and their offspring in many LMICs. Based on the FIGO (the International Federation of Gynecology & Obstetrics) recommendations of extending preconception care to the postpartum stage, the authors of this review have developed a new model of care-PregCare-based on the triple-intervention-based holistic and multidisciplinary maternal and fetal medicine model for low-risk pregnancies. This model will help transform the traditional model's high visitation frequency into a safe and reduced office visit, while increasing virtual connections, point of care and self-care with doctors, nurses, and community-based providers of self-care. This shall be based on a sophisticated central PregCare call center powered by innovative technologies combined with experienced personnel in perinatal management (doctors and nurses/midwives).

Leveraging Digital Health to Improve the Cardiovascular Health of Women

Purpose of Review

In this review, we present a comprehensive discussion on the population-level implications of digital health interventions (DHIs) to improve cardiovascular health (CVH) through sex- and gender-specific prevention strategies among women.

Recent Findings

Over the past 30 years, there have been significant advancements in the diagnosis and treatment of cardiovascular diseases, a leading cause of morbidity and mortality among men and women worldwide. However, women are often underdiagnosed, undertreated, and underrepresented in cardiovascular clinical trials, which all contribute to disparities within this population. One approach to address this is through DHIs, particularly among racial and ethnic minoritized groups. Implementation of telemedicine has shown promise in increasing adherence to healthcare visits, improving BP monitoring, weight control, physical activity, and the adoption of healthy behaviors. Furthermore, the use of mobile health applications facilitated by smart devices, wearables, and other eHealth (defined as electronically delivered health services) modalities has also promoted CVH among women in general, as well as during pregnancy and the postpartum period. Overall, utilizing a digital health approach for healthcare delivery, decentralized clinical trials, and incorporation into daily lifestyle activities has the potential to improve CVH among women by mitigating geographical, structural, and financial barriers to care.

Summary

Leveraging digital technologies and strategies introduces novel methods to address sex- and gender-specific health and healthcare disparities and improve the quality of care provided to women. However, it is imperative to be mindful of the digital divide in specific populations, which may hinder accessibility to these novel technologies and inadvertently widen preexisting inequities.

Contemporary evaluation of women and girls with abnormal uterine bleeding: FIGO Systems 1 and 2

Abnormal uterine bleeding (AUB) is common, often debilitating, and may affect over 50% of reproductive-aged women and girls. Whereas AUB is a collection of symptoms that include intermenstrual bleeding and abnormalities in period duration, cycle length, and regularity, it is heavy menstrual bleeding (HMB) that is most contributory to iron deficiency and related anemia. It is apparent that AUB, in general, and HMB, in particular, remain underrecognized and underreported. FIGO created two systems for assessing and classifying AUB. FIGO System 1 defines the bleeding pattern using four primary descriptors: frequency, duration, regularity, and flow volume. FIGO System 2 provides a structured classification system of possible causes of AUB, using the acronym PALM-COEIN. "PALM" refers to structural causes of AUB (Polyp, Adenomyosis, Leiomyoma, Malignancy), and "COEI" refers to nonstructural causes (Coagulopathy, Ovulatory dysfunction, Endometrial, and Iatrogenic). The "N" is reserved for those entities that are currently not otherwise classified. Using FIGO System 1 as a gateway to FIGO System 2 streamlines the investigation of reproductive-aged women and girls with AUB. Understanding the pathogenesis of the FIGO System 2 "PALM-COEIN" causes helps interpret investigations and the onward management of AUB. Numerous evidence gaps exist concerning AUB; however, if researchers and trialists universally adopt FIGO Systems 1 and 2 for the assessment and diagnosis of AUB, clear translatable research findings can be applied globally.

Association Between Types of Chronic Disease and Receiving Workplace Accommodations: A Cross-Sectional Study of Japanese Workers

OBJECTIVE

This study aimed to evaluate the association between the type of chronic disease and receiving workplace accommodations.

METHODS

This online cross-sectional study analyzed a self-reported questionnaire administered in Japan. A total of 6775 full-time workers who reported needing work accommodations were included.

RESULTS

Workplace accommodations were more likely to be provided for workers with cancer, mental illness, and benign gynecological disorders than for workers with no disease under treatment. In contrast, workplace accommodations were less likely for workers with low back pain and skin diseases.

CONCLUSIONS

Receiving workplace accommodations depends on the type of chronic disease. Chronic diseases for which workers frequently receive workplace accommodations may be those for which support is encouraged by law. It is necessary to support workers with chronic diseases that do not receive adequate workplace accommodations.