Use of Text Messaging for Postpartum Depression Screening and Information Provision

Texting in the Fourth Trimester: mHealth for Postpartum Care

Rising maternal morbidity and mortality in the United States is a complex problem and is often tied to the postpartum period. Postpartum visits are poorly attended leading to gaps in contraception, mental health care, and care for chronic conditions. mHealth, health care supported by mobile technologies, has been shown to improve antenatal care adherence. Our study aims to determine whether an mHealth intervention of interactive, educational text messages can improve care for women postpartum.We conducted a randomized control trial of 191 women receiving OB/GYN care in our clinic from November 2019 to April 2020. Patients were randomized postpartum to receive either routine care or routine care with mHealth text messages and appointment reminders specific to delivery type. The primary endpoint was attendance at the 6-week postpartum visit with secondary endpoints of breastfeeding, contraception use, emergency visits, and postpartum depression scores (Edinburgh Postnatal Depression Scale). A subgroup analysis was additionally conducted to assess the impact of some visits shifting to telehealth due to the timing of the coronavirus disease 2019 (COVID-19) pandemic.Patient demographics were similar between the two groups. There was no significant difference in postpartum appointment attendance between text messages (n = 57, 59%) and control groups (n = 62, 66%; p = 0.31). In total, 117 patients were scheduled for in-person postpartum visits, and 74 for telehealth visits during the COVID-19 pandemic, with no significant difference in attendance rate between groups for either visit modality.Automated text messages alone did not increase our primary outcome of adherence to postpartum care, even when visits were conducted by telehealth. While mHealth has proven successful in other care areas, such as antepartum follow-up, further research is needed to determine whether it is an effective method to improve adherence to postpartum care, or whether other strategies must be developed, including augmentation with human navigators. · Interactive text messages did not improve postpartum visit adherence.. · COVID-19 disrupted routine postpartum care.. · More research is needed into mHealth interventions postpartum..

Predictors of Participation in a Perinatal Text Message Screening Protocol for Maternal Depression and Anxiety: Prospective Cohort Study

BACKGROUND

Universal screening for depression and anxiety in pregnancy has been recommended by several leading medical organizations, but the implementation of such screening protocols may overburden health care systems lacking relevant resources. Text message screening may provide a low-cost, accessible alternative to in-person screening assessments. However, it is critical to understand who is likely to participate in text message-based screening protocols before such approaches can be implemented at the population level.

OBJECTIVE

This study aimed to examine sources of selection bias in a texting-based screening protocol that assessed symptoms of depression and anxiety across pregnancy and into the postpartum period.

METHODS

Participants from the Montreal Antenatal Well-Being Study (n=1130) provided detailed sociodemographic information and completed questionnaires assessing symptoms of depression (Edinburgh Postnatal Depression Scale [EPDS]) and anxiety (State component of the State-Trait Anxiety Inventory [STAI-S]) at baseline between 8 and 20 weeks of gestation (mean 14.5, SD 3.8 weeks of gestation). Brief screening questionnaires, more suitable for delivery via text message, assessing depression (Whooley Questions) and anxiety symptoms (Generalized Anxiety Disorder 2-Item questionnaire) were also collected at baseline and then via text message at 14-day intervals. Two-tailed t tests and Fisher tests were used to identify maternal characteristics that differed between participants who responded to the text message screening questions and those who did not. Hurdle regression models were used to test if individuals with a greater burden of depression and anxiety at baseline responded to fewer text messages across the study period.

RESULTS

Participants who responded to the text messages (n=933) were more likely than nonrespondents (n=114) to self-identify as White (587/907, 64.7% vs 39/96, 40.6%; P<.001), report higher educational attainment (postgraduate: 268/909, 29.5% vs 15/94, 16%; P=.005), and report higher income levels (CAD $150,000 [a currency exchange rate of CAD $1=US $0.76 is applicable] or more: 176/832, 21.2% vs 10/84, 11.9%; P<.001). There were no significant differences in symptoms of depression and anxiety between the 2 groups at baseline or postpartum. However, baseline depression (EPDS) or anxiety (STAI-S) symptoms did predict the total number of text message time points answered by participants, corresponding to a decrease of 1% (eβ=0.99; P<.001) and 0.3% (eβ=0.997; P<.001) in the number of text message time points answered per point increase in EPDS or STAI-S score, respectively.

CONCLUSIONS

Findings from this study highlight the feasibility of text message-based screening protocols with high participation rates. However, our findings also highlight how screening and service delivery via digital technology could exacerbate disparities in mental health between certain patient groups.

Acceptability and Feasibility of Text Message Interface to Assess Parents' Real-time PICU Experiences

INTRODUCTION

Parents of children in the pediatric intensive care unit (PICU) experience substantial stress; a parent's perception of their child's illness severity, more than objective measures, predicts psychological outcomes. No tools exist to assess parents' real-time experiences. This pilot study evaluated the feasibility and acceptability of a text-based tool to measure parental experience.

METHODS

Inclusion criteria included PICU stay >48 h, physician approval, smartphone access, and English-speaking caregiver. Eligible parents received a text-based baseline survey and surveys every other day while hospitalized regarding their mood/experiences and optional open-ended questions regarding stressors. They received post-discharge follow-up surveys at 1 week and 1, 3, and 6 months. Follow-up surveys assessed mood and symptoms of depression, anxiety, and post-traumatic stress. Interviews and surveys about the interface were conducted 1 week and 3 months following discharge. Feasibility was assessed by descriptive statistics (eg, response rates), and acceptability was assessed by descriptive statistics (survey results) and thematic analyses of interviews.

RESULTS

Of 20 enrolled participants, the first 5 were excluded due to technical issues. Of the 15 included, results demonstrated feasibility and acceptability. Most participants (86%) completed all surveys during the PICU stay and continued to complete surveys at a high rate: 79%-94% 3 months post-discharge. All participants agreed that the system was easy to use and were satisfied with the system at discharge, and 91% remained satisfied 3 months post-discharge. Additionally, 76% reported comfort, and 69% reported benefit. From the interviews, participants lauded the system's convenience and applicability of content. Some proposed changes to improve ergonomics. Many suggested this interface could help teams better support families.

CONCLUSIONS

A text-based interface for measuring experience in the PICU is feasible and acceptable to parents. Further research can explore how this could identify parents most at risk of adverse psychological sequelae and lead to earlier supportive interventions.

Feasibility and impact of a mental health chatbot on postpartum mental health: a randomized controlled trial

BACKGROUND

Perinatal mood disorders are common yet underdiagnosed and un- or undertreated. Barriers exist to accessing perinatal mental health services, including limited availability, time, and cost. Automated conversational agents (chatbots) can deliver evidence-based cognitive behavioral therapy content through text message-based conversations and reduce depression and anxiety symptoms in select populations. Such digital mental health technologies are poised to overcome barriers to mental health care access but need to be evaluated for efficacy, as well as for preliminary feasibility and acceptability among perinatal populations.

OBJECTIVE

To evaluate the acceptability and preliminary efficacy of a mental health chatbot for mood management in a general postpartum population.

STUDY DESIGN

An unblinded randomized controlled trial was conducted at a tertiary academic center. English-speaking postpartum women aged 18 years or above with a live birth and access to a smartphone were eligible for enrollment prior to discharge from delivery hospitalization. Baseline surveys were administered to all participants prior to randomization to a mental health chatbot intervention or to usual care only. The intervention group downloaded the mental health chatbot smartphone application with perinatal-specific content, in addition to continuing usual care. Usual care consisted of routine postpartum follow up and mental health care as dictated by the patient's obstetric provider. Surveys were administered during delivery hospitalization (baseline) and at 2-, 4-, and 6-weeks postpartum to assess depression and anxiety symptoms. The primary outcome was a change in depression symptoms at 6-weeks as measured using two depression screening tools: Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale. Secondary outcomes included anxiety symptoms measured using Generalized Anxiety Disorder-7, and satisfaction and acceptability using validated scales. Based on a prior study, we estimated a sample size of 130 would have sufficient (80%) power to detect a moderate effect size (d=.4) in between group difference on the Patient Health Questionnaire-9.

RESULTS

A total of 192 women were randomized equally 1:1 to the chatbot or usual care; of these, 152 women completed the 6-week survey (n=68 chatbot, n=84 usual care) and were included in the final analysis. Mean baseline mental health assessment scores were below positive screening thresholds. At 6-weeks, there was a greater decrease in Patient Health Questionnaire-9 scores among the chatbot group compared to the usual care group (mean decrease=1.32, standard deviation=3.4 vs mean decrease=0.13, standard deviation=3.01, respectively). 6-week mean Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder-7 scores did not differ between groups and were similar to baseline. 91% (n=62) of the chatbot users were satisfied or highly satisfied with the chatbot, and 74% (n=50) of the intervention group reported use of the chatbot at least once in 2 weeks prior to the 6-week survey. 80% of study participants reported being comfortable with the use of a mobile smartphone application for mood management.

CONCLUSION

Use of a chatbot was acceptable to women in the early postpartum period. The sample did not screen positive for depression at baseline and thus the potential of the chatbot to reduce depressive symptoms in this population was limited. This study was conducted in a general obstetric population. Future studies of longer duration in high-risk postpartum populations who screen positive for depression are needed to further understand the utility and efficacy of such digital therapeutics for that population.

Digital health technologies for peripartum depression management among low-socioeconomic populations: perspectives from patients, providers, and social media channels

BACKGROUND

Peripartum Depression (PPD) affects approximately 10-15% of perinatal women in the U.S., with those of low socioeconomic status (low-SES) more likely to develop symptoms. Multilevel treatment barriers including social stigma and not having appropriate access to mental health resources have played a major role in PPD-related disparities. Emerging advances in digital technologies and analytics provide opportunities to identify and address access barriers, knowledge gaps, and engagement issues. However, most market solutions for PPD prevention and management are produced generically without considering the specialized needs of low-SES populations. In this study, we examine and portray the information and technology needs of low-SES women by considering their unique perspectives and providers' current experiences. We supplement our understanding of women's needs by harvesting online social discourse in PPD-related forums, which we identify as valuable information resources among these populations.

METHODS

We conducted (a) 2 focus groups (n = 9), (b) semi-structured interviews with care providers (n = 9) and low SES women (n = 10), and (c) secondary analysis of online messages (n = 1,424). Qualitative data were inductively analyzed using a grounded theory approach.

RESULTS

A total of 134 open concepts resulted from patient interviews, 185 from provider interviews, and 106 from focus groups. These revealed six core themes for PPD management, including "Use of Technology/Features", "Access to Care", and "Pregnancy Education". Our social media analysis revealed six PPD topics of importance in online messages, including "Physical and Mental Health" (n = 725 messages), and "Social Support" (n = 674).

CONCLUSION

Our data triangulation allowed us to analyze PPD information and technology needs at different levels of granularity. Differences between patients and providers included a focus from providers on needing better support from administrative staff, as well as better PPD clinical decision support. Our results can inform future research and development efforts to address PPD health disparities.

Screening and Diagnosis of Mental Health Conditions During Pregnancy and Postpartum: ACOG Clinical Practice Guideline No. 4

PURPOSE

To review evidence on the current understanding of mental health conditions in pregnancy and postpartum, with a focus on mood and anxiety disorders, and to outline guidelines for screening and diagnosis that are consistent with best available scientific evidence. The conditions or symptoms reviewed include depression, anxiety and anxiety-related disorders, bipolar disorder, suicidality, and postpartum psychosis. For information on psychopharmacologic treatment and management, refer to American College of Obstetricians and Gynecologists (ACOG) Clinical Practice Guideline Number 5, "Treatment and Management of Mental Health Conditions During Pregnancy and Postpartum" (1).

TARGET POPULATION

Pregnant or postpartum individuals with mental health conditions. Onset of these conditions may have predated the perinatal period or may have occurred for the first time in pregnancy or the first year postpartum or may have been exacerbated in that time.

METHODS

This guideline was developed using an a priori protocol in conjunction with a writing team consisting of one specialist in obstetrics and gynecology and one maternal-fetal medicine subspecialist appointed by the ACOG Committee on Clinical Practice Guidelines-Obstetrics and two external subject matter experts. ACOG medical librarians completed a comprehensive literature search for primary literature within Cochrane Library, Cochrane Collaboration Registry of Controlled Trials, EMBASE, PubMed, and MEDLINE. Studies that moved forward to the full-text screening stage were assessed by two authors from the writing team based on standardized inclusion and exclusion criteria. Included studies underwent quality assessment, and a modified GRADE (Grading of Recommendations Assessment, Development and Evaluation) evidence-to-decision framework was applied to interpret and translate the evidence into recommendation statements.

RECOMMENDATIONS

This Clinical Practice Guideline includes recommendations on the screening and diagnosis of perinatal mental health conditions including depression, anxiety, bipolar disorder, acute postpartum psychosis, and the symptom of suicidality. Recommendations are classified by strength and evidence quality. Ungraded Good Practice Points are included to provide guidance when a formal recommendation could not be made because of inadequate or nonexistent evidence.

The acceptability of implementing patient-reported measures in routine maternity care: A systematic review

INTRODUCTION

Patient-reported measures (PRMs) are becoming popular as they might influence clinical decisions, help to deliver patient-centered care, and improve health care quality. However, the limited knowledge and consensus about the acceptability of implementing PRMs in maternity care hinder their widespread use in clinical practice, and evidence-based recommendations are lacking. This systematic review aims to synthesize available evidence on the acceptability of implementing PRMs in routine maternity care.

MATERIAL AND METHODS

Literature on the implementation of PRMs in maternity care was electronically searched in six databases (PsycARTICLES, PubMed, Scopus, Web of Science, Cochrane Database of Systematic Reviews, and CINAHL), screened and selected for the topic of "acceptability". Theoretical Framework of Acceptability was used as the basic framework guiding data analysis and synthesis. Evidence was thematically analyzed and synthesized. Mixed Method Appraisal Tool and GRADE-CERQual approach were used to assess the quality of studies and evaluate the confidence in the review findings.

RESULTS

Overall, 4971 articles were screened. From 24 studies, we identified five themes regarding the acceptability of implementing PRMs in routine maternity care: (1) user's action and behavior, (2) stakeholders' attitudes, (3) perceived benefits, (4) perceived challenges and risks, and (5) stakeholders' preferences and suggestions on implementation. While pregnant and postpartum women, health professionals and other stakeholders involved in maternity care were generally positive about the implementation of PRMs in routine care and recognized the potential benefits (eg health improvement, women empowerment, care and services improvement and healthcare system advancement), they pointed out possible challenges and risks in answering PRMs questions, responding to answers, and setting up integrated information systems as well as suggested solutions in the aspects of PRMs data collection, follow-up care, and system-level management. The confidence in the review findings was moderate due to methodological limitations of included studies.

CONCLUSIONS

Available empirical evidence suggested that the use of PRMs in routine maternity care is acceptable among stakeholders involved in maternity care and the potential benefits of its integration in routine clinical practice to healthcare improvement has been recognized. However, possible challenges in data collection, follow-up care arrangement and system-level integration should be appropriately addressed.

Barriers to perinatal mental health care experiences by midwives and obstetricians and their patients: A rapid review

INTRODUCTION

While perinatal mental health concerns are common, little attention is paid to noticing or addressing these concerns. Midwives and obstetricians are uniquely positioned to universally screen their patients for mental health conditions during the perinatal period, and provide referrals for additional mental health supports if relevant. Previous studies on perinatal mental health care have focused primarily on midwifery care, excluding perinatal healthcare providers such as obstetricians. This rapid review aims to examine the barriers to accessing mental health care during the perinatal period as experienced by obstetricians, midwives, and their patients.

METHODS

A rapid review of literature was conducted on barriers to perinatal mental health care as experienced by patients, midwives, and obstetricians. The search strategy included published literature from PubMed, CINAHL, PsycINFO, and Web of Science published between 2000 and 2020. All documents were screened by two researchers and disagreements were resolved through consensus with a third reviewer. After data from all included articles were extracted, thematic analysis was conducted, and findings were compared with related reviews that focused on mental health access for individuals who accessed midwifery care.

RESULTS

Of the 539 references and documents that were screened, 31 articles met the inclusion criteria. In the extraction phase, country, study objective(s), study design, perspective(s), barriers, and the dimension(s) impacted along the pathway to accessing care were retrieved from the 31 included articles. After all barriers were classified using the Supply-Side Dimensions of Access, we developed a classification framework to further examine stigma at the societal, institutional, and individual levels.

DISCUSSION

While midwives utilize a more holistic approach to care as compared with obstetricians, the barriers identified through this rapid review indicate that obstetricians and their patients face similar struggles to accessing and providing mental health care. Moreover, stigma plays a large role in the barriers experienced by patients, midwives, and obstetricians - at individual and institutional levels.

CONCLUSION

Obstetricians encounter similar stigma-related barriers as midwives in detecting mental health concerns, as well as connecting clients to available mental health resources and supports. Therefore, to effectively eliminate barriers to accessing perinatal mental health care, a systemic change must be enacted throughout all three layers to address the deep-rooted stigma associated with accessing mental health care during the perinatal period.

The role of digital patient education in maternal health: A systematic review

OBJECTIVE

To assess the recent trends, acceptability, and effectiveness of digital maternal patient education through summarizing the literature.

METHODS

Articles published in 2010-2020 on patient education, digital tools, and maternal health were searched on PubMed. Abstract and full texts were reviewed to identify eligible studies and extract key information.

RESULTS

Digital patient education studies covered various topics throughout pregnancy, with the greatest number of studies targeting the prenatal period. Among the 55 studies, 38 (69%) reported significant patient outcomes, with the main benefits of increased knowledge (83.3%), emotional benefits (73.7%), and behavioral changes (60.6%). The number of studies per year increased steadily over the past decade, with frequently utilized formats of texts with images (40%), SMS (30.9%), and videos (25.5%). Video produced the highest rate of positive patient outcomes; however, no statistical significance was found.

CONCLUSION

Our study presented evidence supporting the high effectiveness and prevalence of digital tools in maternal patient education, and analyzed the content, platforms, and formats utilized by digital tools of the past decade.

PRACTICE IMPLICATIONS

Digital tools are effective and feasible in conducting maternal patient education. No specific patient education format is found to be superior in improving patient's health outcomes.

An Evaluation of the Text Illness Monitoring (TIM) Platform for COVID-19: Cross-sectional Online Survey of Public Health Users

BACKGROUND

The US public health response to the COVID-19 pandemic has required contact tracing and symptom monitoring at an unprecedented scale. The US Centers for Disease Control and Prevention and several partners created the Text Illness Monitoring (TIM) platform in 2015 to assist US public health jurisdictions with symptom monitoring for potential novel influenza virus outbreaks. Since May 2020, 142 federal, state, and local public health agencies have deployed TIM for COVID-19 symptom monitoring.

OBJECTIVE

The aim of this study was to evaluate the utility, benefits, and challenges of TIM to help guide decision-making for improvements and expansion to support future public health emergency response efforts.

METHODS

We conducted a brief online survey of previous and current TIM administrative users (admin users) from November 28 through December 21, 2020. Closed- and open-ended questions inquired about the onboarding process, decision to use TIM, groups monitored with TIM, comparison of TIM to other symptom monitoring systems, technical challenges and satisfaction with TIM, and user support. A total of 1479 admin users were invited to participate.

RESULTS

A total of 97 admin users from 43 agencies responded to the survey. Most admin users represented the Indian Health Service (35/97, 36%), state health departments (26/97, 27%), and local or county health departments (18/97, 19%), and almost all were current users of TIM (85/94, 90%). Among the 43 agencies represented, 11 (26%) used TIM for monitoring staff exclusively, 13 (30%) monitored community members exclusively, and 19 (44%) monitored both staff and community members. Agencies most frequently used TIM to monitor symptom development in contacts of cases among community members (28/43, 65%), followed by symptom development among staff (27/43, 63%) and among staff contacts of cases (24/43, 56%). Agencies also reported using TIM to monitor patients with COVID-19 for the worsening of symptoms among staff (21/43, 49%) and community members (18/43, 42%). When asked to compare TIM to previous monitoring systems, 78% (40/51) of respondents rated TIM more favorably than their previous monitoring system, 20% (10/51) said there was no difference, and 2% (1/51) rated the previous monitoring system more favorably than TIM. Most respondents found TIM favorable in terms of time burden, staff burden, timeliness of the data, and the ability to monitor large population sizes. TIM compared negatively to other systems in terms of effort to enroll participants (ie, persons TIM monitors) and accuracy of the data. Most respondents (76/85, 89%) reported that they would highly or somewhat recommend TIM to others for symptom monitoring.

CONCLUSIONS

This evaluation of TIM showed that agencies used TIM for a variety of purposes and rated TIM favorably compared to previously used monitoring systems. We also identified opportunities to improve TIM; for example, enhancing the flexibility of alert deliveries would better meet admin users' varying needs. We also suggest continuous program evaluation practices to assess and respond to implementation gaps.

Postpartum heavy episodic drinking: A survey to inform development of a text messaging intervention

INTRODUCTION

Text messaging interventions (TMI) are promising for addressing heavy episodic drinking (HED) in non-treatment-seeking postpartum women. Their anonymous delivery can overcome fear of consequences that often prevents postpartum women from seeking treatment for HED. We assessed feasibility and acceptability of text messaging to inform the development of a tailored TMI for postpartum HED.

METHODS

We surveyed 165 postpartum women recruited via a national Qualtrics panel on their drinking behaviours, mobile technology use and TMI preferences.

RESULTS

Twenty-five percent of the sample (N = 41) were classified as heavy episodic drinkers, with significant drinking reported before, during and after pregnancy, supporting the need for intervention. Feasibility of text messaging was supported by nearly universal mobile phone ownership and text messaging. Attitudes and intervention preferences varied, with 30% of HEDs likely to participate in an intervention asking them to receive automated messages, and 46% likely to participate in an intervention that included live texting with a counsellor. Respondents were more likely to participate in a study that asked them to respond to messages about mood and stress (63%) than daily drinking behaviours (35%), and were most interested in a TMI that included live texting with a counsellor. Nearly half the sample endorsed fear of child removal as a significant barrier to participation.

DISCUSSION AND CONCLUSIONS

Findings support the feasibility of text messaging as an intervention approach for postpartum HEDs. Postpartum women may have unique concerns and preferences that differ from other groups of HEDs, making a user-centred design approach critical.

Women's interpretation, understanding and attribution of the anhedonia question in the PHQ-4 and modified-Whooley questions in the antenatal period

OBJECTIVES

To report on the rates of misinterpretation, confusion, and attribution of the anhedonia question in the PHQ-4 and Whooley questions by pregnant women.

BACKGROUND

The NICE Perinatal Mental Health guidelines recommend the use of the anhedonia question for depression screening, yet evidence suggests it may be misinterpreted or not be related to mood.

METHOD

Women attending a public hospital's antenatal clinic, communicating in English as their language of choice, completed either the PHQ-4 or the Whooley questions. Following comments to general evaluation questions in the first sample, women were asked a targeted anhedonia interpretation question, an anhedonia attribution question, and an ease of understanding question (PHQ-4: N = 37-119; Whooley: N = 31-100).

RESULTS

Across the PHQ-4 and Whooley formats around 15% of participants completely misinterpreted the anhedonia question, with a further 17% finding it difficult to understand. Around two-thirds of those experiencing the symptom said it was due to normal symptoms of pregnancy, and not related to their mood. In the PHQ-4 format, which included all three questions, 48% of the women had one or more of these issues. While CALD women appear to have greater difficulty understanding the question, there were no meaningful associations with whether English was spoken at home.

CONCLUSION

Almost half of the women incorrectly interpreted the anhedonia question, or said that it was confusing, or that it did not reflect low mood. These data indicate that the anhedonia question should not be used in screening women in the antenatal period, whether in the PHQ-4 or Whooley formats.

A Non-Randomized Trial of In-Person Versus Text/Telephone Screening, Brief Intervention and Referral to Treatment for Pregnant and Postpartum Women

Background

Systems of care that improve mental health and substance use disorder Screening, Brief Intervention and Referral to Treatment (SBIRT) for pregnant and postpartum women are needed.

Aims

The aim of this study is to determine if women receiving prenatal care from January 2020 to April 2021 are more likely to be screened, screen positive, be referred for treatment and attend treatment with technology facilitated SBIRT, compared to women receiving prenatal care and in-person SBIRT January 2017 to December 2019.

Materials & Methods

Technology facilitated SBIRT, designated Listening to Women (LTW), includes text message-based screening, phone-based brief intervention, and referral to treatment by a remote care coordinator. A total of 3535 pregnant and postpartum women were included in the quasi-experimental study and data were collected via text message and Electronic Health Record.

Results

In-person SBIRT was completed by 65.2% (1947/2988) of women while 98.9% (547/553) of women approached agreed to take part in LTW and 71.9% (393/547) completed SBIRT via LTW. After controlling for potentially confounding variables, women enrolled in LTW were significantly more likely to be screened (relative risk [RR]: 1.10, 95% CI 1.03-1.16), screen positive (RR 1.91, 95% CI 1.72-2.10), referred to treatment (RR 1.55, 95% CI 1.43-1.69) and receive treatment (RR 4.95, 95% CI 3.93-6.23), compared to women receiving in-person SBIRT. Black women enrolled in LTW were significantly more likely to screen positive (RR 1.65, 95% CI 1.35-2.01), be referred to treatment (RR 1.54, 95% CI 1.35-1.76) and attend treatment (RR 5.49, 95% CI 3.69-8.17), compared to Black women receiving in-person SBIRT.

Discussion

LTW appears to increase the proportion of pregnant and postpartum women receiving key elements of SBIRT.

A Nurse-Navigated, Postpartum Support Text Messaging Intervention: Satisfaction Among Primiparous Women

More than 50% of maternal deaths in the United States occur during the first year following childbirth. Nearly 40% of these deaths occur between days 1 and 41 of the postpartum period. Historically, women receive less attention from healthcare providers during the postpartum period when compared with the care provided during pregnancy and childbirth. Women may not return for scheduled follow-up care until 4 to 6 weeks after birth, if they return at all. The role of postpartum nurse navigator (PPNN) was developed to deliver a novel, text messaging intervention as part of a randomized controlled trial to 43 primiparous women who experienced an unplanned cesarean birth. Through daily, interactive text messaging, the PPNN assessed study participants' general well-being, assisted with symptom navigation, offered anticipatory guidance, and provided informational support until 4 weeks postpartum. Satisfaction with the intervention was evaluated using a survey that incorporated quantitative and qualitative responses. Overwhelmingly, 93% of participants rated their overall experience with the text messaging intervention as outstanding or good. At least 95% of the participants indicated that they would likely choose to receive daily text messaging from a PPNN following a subsequent birth. Convenient access to professional nurse support for women postbirth warrants further evaluation.

Text Messaging as a Means to Engage Patients in the Postpartum Period

The use of electronic information and telecommunications technologies to support health systems has been increasingly recognized as an important tool in postpartum care. An emerging body of research has suggested that telehealth during the postpartum period may alleviate racial disparities and transportation barriers, while improving access to health resources. Thus, the purpose of this article is to describe current barriers to postpartum health, review prevalence and access to mobile devices, and current uses of text messaging in the postpartum period. We describe key areas of telemedicine utilization including lactation services, blood pressure monitoring, diabetes screening, mental health services, weight loss programs, and access to contraception in the postpartum period. Future research and clinical work should aim to further examine the use of telehealth among postpartum individuals.

Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods

PURPOSE

Depression is a symptom commonly encountered in primary care; however, it is often not detected by doctors. Recently, disease diagnosis and treatment approaches have been attempted using smart devices. In this study, instrumental effectiveness was confirmed with the diagnostic meta-analysis of studies that demonstrated the diagnostic effectiveness of PHQ-9 for depression using mobile devices.

PATIENTS AND METHODS

We found all published and unpublished studies through EMBASE, MEDLINE, MEDLINE In-Process, and PsychINFO up to March 26, 2021. We performed a meta-analysis by including 1099 subjects in four studies. We performed a diagnostic meta-analysis according to the PHQ-9 cut-off score and machine learning algorithm techniques. Quality assessment was conducted using the QUADAS-2 tool. Data on the sensitivity and specificity of the studies included in the meta-analysis were extracted in a standardized format. Bivariate and summary receiver operating characteristic (SROC) curve were constructed using the metandi, midas, metabias, and metareg functions of the Stata algorithm meta-analysis words.

RESULTS

Using four studies out of the 5476 papers searched, a diagnostic meta-analysis of the PHQ-9 scores of 1099 people diagnosed with depression was performed. The pooled sensitivity and specificity were 0.797 (95% CI = 0.642-0.895) and 0.85 (95% CI = 0.780-0.900), respectively. The diagnostic odds ratio was 22.16 (95% CI = 7.273-67.499). Overall, a good balance was maintained, and no heterogeneity or publication bias was presented.

CONCLUSION

Through various machine learning algorithm techniques, it was possible to confirm that PHQ-9 depression screening in mobiles is an effective diagnostic tool when integrated into a diagnostic meta-analysis.

Mobile Health for Perinatal Depression and Anxiety: Scoping Review

BACKGROUND

The perinatal period is a vulnerable time during which depression and anxiety commonly occur. If left untreated or undertreated, there may be significant adverse effects; therefore, access to rapid, effective treatment is essential. Treatments for mild-to-moderate symptoms according to a stepped-care approach involve psychoeducation, peer support, and psychological therapy, all of which have been shown to be efficaciously delivered through digital means. Women experience significant barriers to care because of system- and individual-level factors, such as cost, accessibility, and availability of childcare. The use of mobile phones is widespread in this population, and the delivery of mental health services via mobile phones has been suggested as a means of reducing barriers.

OBJECTIVE

This study aimed to understand the extent, range, and nature of mobile health (mHealth) tools for prevention, screening, and treatment of perinatal depression and anxiety in order to identify gaps and inform opportunities for future work.

METHODS

Using a scoping review framework, 4 databases were searched for terms related to mobile phones, perinatal period, and either depression or anxiety. A total of 477 unique records were retrieved, 81 of which were reviewed by full text. Peer-reviewed publications were included if they described the population as women pregnant or up to 1 year postpartum and a tool explicitly delivered via a mobile phone for preventing, screening, or treating depression or anxiety. Studies published in 2007 or earlier, not in English, or as case reports were excluded.

RESULTS

A total of 26 publications describing 22 unique studies were included (77% published after 2017). mHealth apps were slightly more common than texting-based interventions (12/22, 54% vs 10/22, 45%). Most tools were for either depression (12/22, 54%) or anxiety and depression (9/22, 41%); 1 tool was for anxiety only (1/22, 4%). Interventions starting in pregnancy and continuing into the postpartum period were rare (2/22, 9%). Tools were for prevention (10/22, 45%), screening (6/22, 27%), and treatment (6/22, 27%). Interventions delivered included psychoeducation (16/22, 73%), peer support (4/22, 18%), and psychological therapy (4/22, 18%). Cost was measured in 14% (3/22) studies.

CONCLUSIONS

Future work in this growing area should incorporate active psychological treatment, address continuity of care across the perinatal period, and consider clinical sustainability to realize the potential of mHealth.

"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identifies design opportunities and challenges related to extending technology-based support across fluctuating symptoms. Our findings suggest that participants perceive events and contexts in daily life to have marked impact on their symptoms. Results also illustrate that ebbs and flows in symptoms profoundly affect how individuals practice depression self-management. While digital tools often aim to reach individuals while they feel depressed, we suggest they should also engage individuals when they are less symptomatic, leveraging their energy and motivation to build habits, establish plans and goals, and generate and organize content to prepare for symptom onset.