Sleeping Like a Baby: An Investigation of Bed-Sharing, Co-Sleeping, and Breastfeeding Among Pregnant Adults During the COVID-19 Pandemic.

Introduction: Given the lack of clarity in the literature related to the impact of breastfeeding intentions on sleeping practices, the current research aimed to investigate the relationship between co-sleeping or bed-sharing and breastfeeding intentions among a sample of pregnant adults, during the coronavirus disease 2019 (COVID-19) pandemic. Materials and Methods: Pregnant adults from a large nationally representative sample, responded to a one-time, online Qualtrics survey between October and November 2020. Pregnant adults (n = 544) were asked closed and open-ended questions about their family characteristics, sociodemographic factors, sleeping and breastfeeding habits, and intentions. This protocol was approved by the Wesleyan University Institutional Review Board. Results: Bed-sharing (odds ratio [OR] = 2.47) and co-sleeping (OR = 3.52) intentions doubled and tripled, respectively, intentions to breastfeed at 3 months. Additionally, income at some higher levels (i.e., $150,000+/year) significantly increased breastfeeding intentions at 3 months compared with the lowest income category (OR = 5.74, p = 0.011). There was also a significant relationship between intentions to bed-share (OR = 2.96, p = 0.012) and co-sleep (OR = 3.62, p < 0.001) with breastfeeding at 6 months. Prior breastfeeding experience was significantly associated with breastfeeding intention at 6 months (OR = 1.88, p = 0.035). Based on the qualitative findings, breastfeeding ease was by far the most common motivation for co-sleeping or bed-sharing, followed by security/safety, closeness, and past experience. Conclusion: Plans to bed-share and co-sleep, significantly increased the odds of breastfeeding intentions up to 6 months postpartum. Supporting breastfeeding should include conversations about parent-infant sleeping modality, style, and preference. Future research is necessary to understand the directional impacts of these decisions and the predictive role of prenatal intentions on postpartum behaviors in this context.

Decoding distress among pandemic pregnancies: Examining pregnancy distress and COVID-19 stress as concurrent predictors of current and anticipated postpartum sleep during the COVID-19 pandemic.

OBJECTIVES: The goal of the present study was to examine pregnancy distress, COVID-19 stress, COVID-19 compliance, and life satisfaction as concurrent predictors of perceived current and anticipated postpartum sleep duration (SD) and quality among a U.S. sample of pregnant individuals. METHODS: The sample comprised 544 pregnant individuals (62.3% non-Hispanic White; mean age = 28.0 and SD = 6.2), most of whom were in their third trimester (42.3%). Participants were recruited through an online panel (Qualtrics) between October and November 2020. RESULTS: The primary analysis was based on a concurrent path model, which examined pregnancy distress, COVID-19 stress, COVID-19 compliance, and life satisfaction as predictors of current and anticipated postpartum SD and sleep quality, controlling for several demographic (eg, age and income), familial (eg, number of children and adults in the home), sleep-related (eg, chronotype and use of sleeping medication), and psychosocial functioning (eg, COVID-19 impact) variables. Results indicated that higher COVID-19 compliance was significantly associated with poorer current sleep quality. Furthermore, both pregnancy distress and COVID-19 stress predicted worse anticipated postpartum sleep quality (but not duration). Life satisfaction, however, was consistently significantly associated with current and anticipated postpartum SD and quality. CONCLUSIONS: Findings are critical for understanding how various forms of stress correlate with sleep health behaviors during pregnancy, as well as expectations for postpartum sleep among a vulnerable population at risk for both psychological and sleep challenges during a period of unprecedented global stress.

Telehealth Use in Pediatric Care during the COVID-19 Pandemic: A Qualitative Study on the Perspectives of Caregivers.

This qualitative study surveyed caregivers regarding their perspectives on the benefits of, challenges with, and suggestions for improving telehealth during the COVID-19 pandemic. Caregivers who had the responsibility for caring for at least one child aged under 18 years of age in Genesee County, MI, participated. The caregivers were biological parents, stepparents, foster parents, adoptive parents, and guardians. A total of 105 caregivers completed a survey with open-ended questions via Qualtrics. Two independent coders developed themes based on the responses using grounded theory. Participants were primarily biological parents and non-Hispanic White and African Americans. According to the participants, the benefits of telehealth included prevention of exposure to the COVID-19 virus, quality communication with physicians, savings in travel time, and cost-effective methods to receive care. The challenges included a lack of in-person interaction, fear of compromised confidentiality, and the potential for misdiagnosis. Suggestions for improvement by caregivers included increasing access to telehealth for poorer families, offering a media educational campaign to promote telehealth use, and creating a universal platform to share patient information. Future studies may test the effectiveness of interventions such as those suggested by caregivers in this study to improve telehealth.

"Alexa, did the pandemic make you smarter?" A follow up content analysis of a virtual assistant's responses to a prenatal query.

To compare responses to 40 common prenatal questions from Amazon's virtual assistant, Alexa, one year apart during the COVID pandemic. Participants: Two researchers replicated a prenatal query using unique Alexa devices. A conceptual content analysis was conducted where the researchers independently queried Alexa the identical questions from their 2020 study during the same one-week timeframe, between May 20, 2021 and May 27, 2021. Alexa's responses were compared to the 2020 study and the American College of Obstetricians and Gynecologists data and verified by one of the researchers, a Certified Nurse Midwife. Alexa provided accurate responses to 26 (65%) of the questions, an increase by 55 percentage points from 2020. Alexa was able to recite the symptoms of COVID-19 illness but was unable to provide a response to the two other COVID-specific questions. Compared to the 2020 query, Alexa provided more reputable sources for the responses including the CDC, WHO, NIH, and Mayo Clinic. Alexa's ability to provide more accurate, evidence-based responses was remarkably improved in 2021. Mobile health tools, like Amazon Alexa, are highly utilized by the public, particularly with limited healthcare access during the COVID-19 pandemic. Technology-based platforms should provide credible, evidence-based content.

The Relationship of Race and Ethnicity to the Perception of Visual Images of Breastfeeding Mothers.

Introduction: Breastfeeding biases, both implicit and explicit, can impact perceived norms of breastfeeding appropriateness in a variety of contexts and influence breastfeeding behaviors. The purpose of this research was to uncover breastfeeding biases, norms, patterns, and perceptions that potentially affect the decision to initiate or sustain breastfeeding and investigate how a diverse group of women perceive images of racially/ethnically similar and different women breastfeeding. Materials and Methods: Using a panel of nationally representative respondents (oversampling key racial/ethnic subpopulations), an online mixed-methods survey was completed by a sample of women who were primary caregivers of children under 3 in November 2020. The survey included diverse images of individuals breastfeeding in various settings and respondents were asked to generate word associations and indicate perceived appropriateness and ease of breastfeeding for each image in direct, timed comparisons. Results: Respondents (N = 144) racial/ethnic identity influenced perceptions of breastfeeding ease and norms surrounding breastfeeding in public settings or in front of others. Furthermore, respondents perceived breastfeeding to be more or less appropriate based on racial identity, in particular, respondents of color seeing breastfeeding as less appropriate among racially and ethnically similar others. Conclusions: While respondents readily acknowledged the health benefits of breastfeeding and were generally supportive of images of others breastfeeding, biases about breastfeeding in public or in front of others and by race/ethnicity were apparent. Community, policy, and societal interventions are necessary to dismantle breastfeeding biases that may inequitably impact mothers' and infants' health.

Maternity leave in America during a pandemic: The impact of leave on family wellbeing.

Maternity leave is linked with maternal mental and physical health, infant health and well-being, family functioning and financial security. The COVID-19 pandemic has exacerbated existing gender and wage inequities in the workplace. The pandemic challenges policymakers, researchers, and practitioners to consider lessons learned regarding advancement of maternity leave policy that addresses realities facing 21st century families. A first step to redressing the negative impacts of COVID-19 that have disproportionately impacted women and mothers in particular, is to advance and implement policy that guarantees all mothers, regardless of employer or employment type, a minimum of 12-weeks fully paid maternity leave. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Smoking and Race Associated with Decreased Breastfeeding Initiation and Duration Among a Low Income Population.

Objectives: To assess associations between smoking behaviors during pregnancy and postpartum and breastfeeding initiation and duration, among DC Women, Infants, and Children (WIC) recipients, the majority of whom are non-White, controlling for sociodemographic factors, low birth weight (LBW), and delivery in a Baby-Friendly hospital (BFH). Materials and Methods: A series of ordinary least squares and logistic regressions estimated the association between smoking during pregnancy and postpartum on breastfeeding initiation and duration, respectively. A multilevel modeling approach accounted for WIC site effects. Results: Overall, 8.8% of DC WIC recipients smoked during pregnancy. Smoking during pregnancy and postpartum was negatively associated with breastfeeding initiation (adjusted odds ratio [aOR] = 0.47, 95% confidence interval [CI]: 0.36, 0.61) and duration (adjusted coefficient [B] = -37.96, 95% CI: -62.92, -13.00) in adjusted models, respectively. Maternal age, race, marital status, LBW, and delivery in a BFH were also significantly associated with initiation, while age, race, and marital status were significantly associated with duration. Likewise, the number of cigarettes smoked per day was negatively associated with initiation (aOR = 0.79, 95% CI: 0.72, 0.87) and duration (B = -8.98, 95% CI: -15.55, -2.41) in adjusted models. Conclusions: Both smoking and number of cigarettes smoked during pregnancy and postpartum are significant factors associated with less breastfeeding in the DC WIC population. Furthermore, smoking cessation during pregnancy shows initial promise to increase breastfeeding initiation. Future research is needed to better understand the role of smoking, relapse, and cessation interventions on breastfeeding rates among low-income, predominantly minority populations.

Breastfeeding During a Pandemic: The Influence of COVID-19 on Lactation Services in the Northeastern United States.

BACKGROUND: Pandemic-related restrictions have limited traditional models of lactation support. RESEARCH AIMS: The primary aim of this study was to determine changes to breastfeeding support services during the coronavirus-2019 pandemic according to trained lactation providers. The secondary aim was to assess strengths and limitations of telehealth services. METHODS: A prospective survey was conducted entirely online using the Qualtrics platform during June 2020. Gatekeepers at Connecticut agencies and breastfeeding networks were forwarded an anonymous survey link to distribute to eligible lactation staff. RESULTS: A variety of participants (N = 39) completed the survey and the majority (69.2%; n = 27) were providing only telehealth services. More than half (58.1%; n = 18) of the participants who conducting telehealth in any form, found that virtual lactation support was moderately effective compared to in-person support. Weakness of virtual support included technical and logistical difficulties, challenges assisting with latching or reading body language over the phone or online, and accurately assessing infant growth. Strengths related to virtual support included the flexibility and convenience of home-based support, expanded communication strategies, and safety from virus exposure. Further, visits with a lactation professional decreased significantly during the pandemic. Limited in-hospital and pediatrician support were also noted, particularly among groups without access to telehealth resources. CONCLUSIONS: As a result of the pandemic and associated shifts in lactation services, breastfeeding disparities may be further exacerbated among those without equitable access to lactation support. Challenges and innovations in virtual support may influence adaptive options in the field moving forward.

"Alexa, Am I pregnant?": A content analysis of a virtual assistant's responses to prenatal health questions during the COVID-19 pandemic.

OBJECTIVE: To elucidate whether Amazon's virtual assistant, Alexa, provides evidence-based support as a supplement to provider-facilitated prenatal care, during the COVID-19 pandemic. METHODS: Using a conceptual content analysis approach, a query of 40 questions, relating to all phases of pregnancy, was collected from Alexa by two independent investigators, using two unique devices, over a one-week period between May 20, 2020 and May 27, 2020. Alexa's responses were matched to the evidence-based content from the American College of Obstetricians and Gynecologists (ACOG) and reviewed by a Certified Nurse Midwife for completeness and currency. RESULTS: Of the 40 questions asked of Alexa, it was unable to answer 14 questions (35%). A total of 21 out of the 40 responses (52%) were not evidence-based and three COVID-specific questions (about 1%) were answered incorrectly or insufficiently. Four questions (10%) were answered accurately. CONCLUSION: Alexa was largely unable to provide evidence-based answers to commonly asked pregnancy questions and, in many cases, supplied inaccurate, incomplete, or completely unrelated answers that could further confuse health consumers. PRACTICE IMPLICATIONS: Ensuring that mobile health (mhealth) tools, such as Amazon Alexa, are evidence-based and credible in answering common prenatal questions has important implications for this pandemic and future consumer needs.

Nudging healthy college dining hall choices using behavioral economics.

OBJECTIVE: To apply behavioral economics strategies (i.e., placement changes and signage) to nudge university students' healthy dining hall eating. Participants: A convenience sample of 4208 students exiting a university dining hall were asked to take a brief survey on meal selections. Methods: Three unique nudges (related to beverage, snack and dessert) were individually introduced and then removed for a week using a quasi-experimental design. Exit surveys during non-nudge and intervention periods were compared using chi-square analysis. Results: The beverage nudge significantly increased water consumption (p=.03) and the dessert nudge significantly increased healthy dessert consumption (p<.001) between comparison and intervention weeks. The snack intervention did not significantly affect snack choice. Conclusions: Simple signage interventions may be effective to encourage healthy eating behaviors in a college dining hall setting. Student health may be improved by nudging students to select healthier beverage and dessert options.

Mobile applications for emerging adults transitioning to independent diabetes monitoring.

Access to high-quality mhealth tools for diabetes management is critical. The purpose was to systematically review mobile apps for features relevant to helping emerging adults manage their diabetes as they transition to independent diabetes monitoring. Mobile apps were reviewed for relevance to emerging adults, aged 18-25, living with diabetes. The GooglePlay store was systematically searched to identify diabetes management mobile tools. Of the 29 apps, only one app had any features relevant to emerging adults. In total, 20 apps had a feature to share a copy of diet or blood sugar logs with a family member or provider. Only 9 apps had any interactivity other than tracking. While most apps had graphics, only 5 were deemed high quality. Just one app met all three included Mobile Application Rating Scale (MARS) criteria. This review serves as a starting point to guide educators and patients, especially to aid continuity of care when in-person support is not feasible. Ongoing review of new apps with improved functionality and effectiveness studies of the apps' impact on emerging adults' diabetes management is imperative.

Determinants of Breastfeeding Initiation and Duration Among African American DC WIC Recipients: Perspectives of Recent Mothers.

BACKGROUND: In Washington, DC, African American women receiving the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) benefits have the lowest breastfeeding rates compared with other WIC-eligible populations. OBJECTIVES: The purpose of this research was to use the social cognitive theory and elements of social support as a guiding framework to better understand the factors affecting breastfeeding initiation and duration among African American WIC recipients in low-income areas of Washington, DC. METHODS: Semistructured interviews were conducted with 24 women receiving WIC services in DC to learn about their infant feeding practices and decisions. Using a pragmatic approach, an integrated inductive and deductive coding strategy was used. RESULTS: Breastfeeding experiences were influenced by barriers at multiple levels: community (i.e., perceptions of breastfeeding in one's network), interpersonal (i.e., few supportive providers), and individual constraints (i.e., pain, supply, and latching issues) as well as environmental difficulties of finding resources to help overcome these challenges. Social support from a close family member, friend, or partner often helped to minimize many of these barriers and facilitated breastfeeding. CONCLUSIONS: Social support seems to bolster efficacy and help women to overcome various barriers to breastfeeding in their immediate environment; however, social support from providers was limited. WIC offers recipients in DC many helpful breastfeeding resources. Although several respondents were aware of these resources, overall use in the sample was low. Continued outreach may help further facilitate breastfeeding in African American mothers by providing additional sources of social support.

Social Support for Breastfeeding in the Era of mHealth: A Content Analysis.

BACKGROUND: Several barriers to successful breastfeeding exist, including a lack of support from peers or professionals. With the emergence of mobile health (mHealth) tools to provide additional breastfeeding support, a more thorough review of social support resources was needed. Research Aim: The aim of this study was to determine mHealth breastfeeding support resources and characterize the type of social support they provide. METHODS: A content analysis of mHealth programs ( n = 65), including text messaging ( n = 12) and mobile applications ( n = 53), was conducted on the basis of searches of the iTunes and Google Play stores ( n = 50) and PubMed, the Cumulative Index of Nursing and Allied Health, and American Business Information/INFORM Complete Plus ( n = 15). Results were then dual-coded for key characteristics and types of support provided. RESULTS: Thirty-eight apps (76%) were free to users, 14 (28%) were offered in a variety of languages, and 47 (94%) provided informational support. The mobile applications were targeted largely to postpartum women, focused on breastfeeding duration, and included troubleshooting information. Mobile applications often included media components ( n = 12 [24%]); few were tailored or personalized ( n = 5 [10%]) and interactive ( n = 15 [30%]). Text-messaging programs were available in a variety of countries ( n = 7 [58%]) and provided mostly informational support ( n = 5 [42%]), were pro-breastfeeding ( n = 12 [100%]), were targeted to both pregnant and postpartum women ( n = 6 [50%]), focused on both breastfeeding initiation and duration ( n = 9 [75%]), and had two-way interactivity ( n = 6 [50%]) and personalization ( n = 5 [42%]). CONCLUSIONS: Although freely available mobile applications and text-messaging programs exist, with potential for wide reach, the majority provide only informational support. These programs would benefit from additional study of their usefulness.

Motivating Smoking Cessation Text Messages: Perspectives from Pregnant Smokers.

OBJECTIVES: The purpose of this research is to analyze cessation text-messages written by pregnant smokers to elucidate the target population's preferred content and message attributes. To achieve this goal, the objectives of this study are three-fold; to qualitatively code messages written by pregnant smokers for frame, type of appeal, and intended target. METHODS: Study participants were recruited as part of a larger trial of pregnant smokers who were enrolled in a text-messaging program or control group and surveyed 1 month post-enrollment. Each participant was asked to write a brief message to another pregnant smoker and two independent coders qualitatively analyzed responses. RESULTS: User generated messages (N = 51) were equally loss and gain framed, and the most common appeals were: fear, guilt, cognitive, hope and empathy, in order of most to least frequent. The target of the majority of the messages was the baby. CONCLUSIONS FOR PRACTICE: Allowing pregnant smokers to write cessation text-messages for other pregnant women can provide relevant insight into intervention content. Specifically, pregnant smokers appear to equally promote gain and loss frames, but may prefer messages that include components of fear and guilt related to the impact of smoking on their baby. Additional research is needed to systematically uncover perspectives of pregnant smokers to ensure interventions are optimally effective.

A content analysis of electronic health record (EHR) functionality to support tobacco treatment.

Government regulations have created new incentives for health systems to implement changes in electronic health records (EHRs) to reduce tobacco use among patients. The purpose of this study is to conduct a content analysis of EHR modifications aimed at supporting tobacco cessation and to document these modifications using a 5 A's framework (i.e., Ask, Advise, Assess, Assist, Arrange). Fourteen trials were identified that met inclusion criteria. A content analysis of EHR functionality in these trials was conducted by two independent reviewers between February and June 2015. For "Ask," all trials provided for the documentation of smoking status in the EHR. For "Advise," 35.7 % of EHRs provided functionality related to helping a clinician provide advice to quit. For "Assess," more than half (57.1 %) of EHRs included a feature to document a patient's willingness to quit. For "Assist," EHRs offered features for medication prescribing (78.6 %), providing educational materials to patients (57.1 %), referring a patient to the quitline (50.0 %), referring a patient to a tobacco treatment specialist (42.9 %), and documenting the provision of counseling (35.7 %). Finally, for "Arrange," EHRs supported the following up of patients (35.7 %) and allowed tobacco treatment specialists to "pass back" patient notes to primary care providers (28.6 %). Studies that have modified EHRs for tobacco treatment have done so across the steps in the 5 As model, with most modifications occurring to support documenting smoking status (Ask) and assisting with medication prescribing (Assist). As health systems attempt to comply with Meaningful Use regulations, an understanding of the range of EHR modifications to support tobacco treatment is warranted.

Recruiting pregnant smokers from Text4baby for a randomized controlled trial of Quit4baby.

Recruiting pregnant smokers into clinical trials is challenging since this population tends to be disadvantaged, the behavior is stigmatized, and the intervention window is limited. The purpose of this study is to test the feasibility and effectiveness of recruiting pregnant smokers into a smoking cessation trial by sending recruitment text messages to an existing subscriber list. Recruitment messages were sent to subscribers flagged as pregnant in Text4baby, a national text messaging program for pregnant women and mothers. Four recruitment messages were rotated to test the effectiveness of different emotional frames and a financial incentive. Study staff called subscribers who expressed interest to screen for eligibility and enroll eligible women. Between October 6, 2015 and February 2, 2016, 10,194 recruitment messages were sent to Text4baby subscribers flagged as pregnant, and 10.18% (1038) responded indicating interest. No significant increase in cancellation was observed compared to subscribers who received other ad hoc messages. Of respondents, 54.05% (561) were reached by phone for follow-up, and 21.97% (228) were found to be eligible. Among the eligible, 87% (199) pregnant smokers enrolled. The recruitment message with a pride emotional appeal had a significantly higher response (p = 0.02) compared to the recruitment message with no emotional appeal, but enrollment did not significantly differ between recruitment messages with different emotional appeals. The recruitment messages with a reference to financial incentive yielded higher response (p < 0.01) and enrollment (p = 0.03) compared to a recruitment message without. This study demonstrates success recruiting pregnant smokers using text message. Future studies should consider building on this approach for recruiting high-risk populations.

Smoking cessation support for pregnant women: role of mobile technology.

BACKGROUND: Smoking during pregnancy has deleterious health effects for the fetus and mother. Given the high risks associated with smoking in pregnancy, smoking cessation programs that are designed specifically for pregnant smokers are needed. This paper summarizes the current landscape of mHealth cessation programs aimed at pregnant smokers and where available reviews evidence to support their use. METHODS: A search strategy was conducted in June-August 2015 to identify mHealth programs with at least one component or activity that was explicitly directed at smoking cessation assistance for pregnant women. The search for text messaging programs and applications included keyword searches within public health and medical databases of peer-reviewed literature, Google Play/iTunes stores, and gray literature via Google. RESULTS: Five unique short message service programs and two mobile applications were identified and reviewed. Little evidence was identified to support their use. Common tools and features identified included the ability to set your quit date, ability to track smoking status, ability to get help during cravings, referral to quitline, and tailored content for the individual participant. The theoretical approach utilized was varied, and approximately half of the programs included pregnancy-related content, in addition to cessation content. With one exception, the mHealth programs identified were found to have low enrollment. CONCLUSION: Globally, there are a handful of applications and text-based mHealth programs available for pregnant smokers. Future studies are needed that examine the efficacy of such programs, as well as strategies to best promote enrollment.

Career Paths of Recipients of a Master's Degree in Health Communication: Understanding Employment Opportunities, Responsibilities, and Choices.

A growing number of institutions offer a master's degree in health communication to prepare individuals for applied work in the field, but there is very little literature on the career paths graduates pursue. The current study reports the results of a national survey that targeted the alumni of five institutions that offer the degree. Of the 522 total graduates to whom the survey was sent, 398 responded (76.2% response rate). Results show that the degree recipients have found employment in a wide variety of organizations across the country, including jobs within very prestigious organizations, such as the National Cancer Institute. Common job titles include manager, coordinator, communication associate/specialist, and program/project director. The most common job responsibilities include research activities, the development of health communication materials, project/program management, communication management, and social media/website management. The results also include stories of graduates across programs that illustrate details of career paths. The discussion of the findings addresses implications for career preparation, curriculum development, and advising.