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BACKGROUND: Up to 15% of pregnant and postpartum women commonly experience undiagnosed and untreated mental health conditions, such as depression and anxiety, which may result in serious health complications. Mobile health (mHealth) apps related to mental health have been previously used for early diagnosis and intervention but not among pregnant and postpartum women. OBJECTIVE: This study aims to assess the acceptability of using mHealth to monitor and assess perinatal and postpartum depression and anxiety. METHODS: Focus group discussions with pregnant and postpartum women (n=20) and individual interviews with health care providers (n=8) were conducted to inform the acceptability of mHealth and determine its utility for assessing perinatal and postpartum mood symptoms. Participants were recruited via purposive sampling from obstetric clinics and the surrounding community. A semistructured interview guide was developed by an epidemiologist with qualitative research training in consultation with an obstetrician. The first author conducted all focus group discussions and provider interviews either in person or via Zoom (Zoom Video Communications, Inc) depending on the COVID-19 protocol that was in place during the study period. All interviews were audio recorded with consent; transcribed; and uploaded for coding to ATLAS.ti 8 (ATLAS.ti Scientific Software Development Gmb H), a qualitative data analysis and retrieval software. Data were analyzed using the deductive content analysis method using a set of a priori codes developed based on the interview guide. Methodological rigor and quality were ensured by adopting a systematic approach during the implementation, data collection, data analysis, and reporting of the data. RESULTS: Almost all women and providers had downloaded and used at least 1 health app. The respondents suggested offering short questions in layperson language that could be understood by women of all educational levels and offering no more than 2 to 3 assessments per day at preferred timings decided by the women themselves. They also suggested that the women themselves receive the alerts first, with other options being family members, spouses, or friends if the women themselves did not respond within 24 to 72 hours. Customization and snooze features were strongly endorsed by women and providers to improve acceptability and utility. Women mentioned competing demands on their time during the postpartum period, fatigue, privacy, and the security of mental health data as concerns. Health care professionals highlighted the long-term sustainability of app-based mood assessment and monitoring as an important challenge. CONCLUSIONS: The findings from this study show that mHealth would be acceptable to pregnant and postpartum women for monitoring mood symptoms. This could inform the development of clinically meaningful and inexpensive tools for facilitating the continuous monitoring of, the early diagnosis of, and an early intervention for mood disorders in this vulnerable population.
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OBJECTIVE: Assess women's perceptions of the impact of COVID-19 on their health care and well-being, access to and satisfaction with medical care due to the changes in delivery of care triggered by the pandemic. METHODS: An online survey of women having health care appointments in the outpatient facilities across all divisions of a Department of Obstetrics and Gynecology at a tertiary care referral center in North Central Florida. Patients had outpatient appointments that were scheduled, canceled or rescheduled, in person or by telemedicine, between 11 March 2020 and 11 May 2020, a time during which a COVID-19 stay-at-home order was enacted across our state. A total of 6,697 visits were planned. Patients with multiple visits were unified, leaving 6,044 unique patients to whom the survey was emailed between 20 July 2020 and 31 July 2020. The survey was closed on 21 August 2020. Analyses were focused on simple descriptive statistics to assess frequency of responses. Analyses of variance and chi-square analyses were conducted to compare outcomes when all cells were ≥ 10, based on sub-specialty and insurance status; otherwise, frequencies were examined for the entire sample only. Missing data were excluded listwise. RESULTS: A total of 6044 patients were contacted. Completed surveys numbered 1,083 yielding a response rate of 17.9%. The most common sub-specialty visit was gynecology (56.7%) followed by obstetrics (31.5%,), pelvic floor disorders (4.8%), gynecological oncology (2.9%,), and reproductive endocrinology (0.5%). A substantial percentage of women had visits canceled (19.2%), rescheduled (32.8%) or changed (42.1%) to telemedicine. In our patient population, 32.6% were worried about visiting the clinic and 48.1% were worried about visiting the hospital. COVID-19 triggered changes were perceived to have a negative impact by 26.1% of respondents. Refusal of future telemedicine visits was by 17.2%, however, 75.2% would prefer to use both in-person and telemedicine visits. CONCLUSION: During the initial COVID-19 surge with lockdown, the majority of survey respondents were following public health precautions. However, there were significant concerns amongst women related to obstetric and gynecologic medical appointments scheduled during that period. During pandemics, natural disasters and similar extreme circumstances, digital communication and telemedicine have the potential to play a critical role in providing reassurance and care. Nevertheless, given the concerns expressed by survey respondents, communication and messaging tools are needed to increase comfort and ensure equity with the rapidly changing methods of care delivery.