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Mobile health (mHealth) interventions provide a low-cost, scalable approach to supporting parents with infant feeding advice with the potential to reduce health care visits and associated costs for infant feeding support. This Australian study examined the impact of the Growing healthy (GH) app on health service utilisation and out-of-pocket costs for families in the first 9 months of their infants life. A quasi-experimental study with a comparison group was conducted in 2015-2016 with an mHealth intervention group (GH app, n = 301) and a nonrandomized usual care group (n = 344). The GH app aimed to support parents of young infants with healthy infant feeding behaviours from birth to 9 months of age. App-generated notifications directed parents to age-and feeding-specific content within the app. Both groups completed surveys at baseline when infants were less than 3 months old (T1), at 6 months (T2) and 9 months (T3) of age. At T3, participants reported health services used and any out-of-pocket costs for advice on infant feeding, growth or activity. App users had lower odds (odds ratio: 0.38 95% confidence interval: 0.25, 0.59) of using one or more services and had lower number of visits to a general practitioner (1.0 vs. 1.5 visits, p = 0.003) and paediatrician (0.3 vs. 0.4 visits, p = 0.049) compared to the usual care group. There was no difference in out-of-pocket costs between groups. Provision of an evidenced-based infant feeding app may provide substantial savings to the health system and potentially to parents through fewer primary health care and paediatrician visits., (© 2024 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd.)

Background: Breastfeeding self-efficacy is a woman's self-belief and confidence in her perceived ability to breastfeed. This modifiable determinant is strongly associated with breastfeeding initiation, exclusivity, and duration. It is unclear how important the timing of breastfeeding self-efficacy measurement and interventions are. The prenatal period appears underexplored in the literature and yet a prenatal focus provides increased opportunity for breastfeeding self-efficacy enhancement and further potential improvement in breastfeeding outcomes. This scoping review aims to synthesise the evidence on prenatal breastfeeding self-efficacy, describing for the first time the theoretical frameworks, measurement tools, and interventions used in the prenatal period., Methods: 8 databases were searched using the PCC framework (Problem: breastfeeding, Concept: self-efficacy, Context: prenatal period). From 4,667 citations and 156 additional sources identified through grey literature and snowballing, data were extracted from 184 studies and 2 guidance documents. All were summarised descriptively and narratively., Results: Just over half (57%) of included studies stated their theoretical underpinning, with Bandura's Self-Efficacy Theory / Dennis' Breastfeeding Self-Efficacy Framework predominant. Only half of intervention studies incorporated theory in their design. More intervention studies were undertaken in the past decade than previously, but the level of theoretical underpinning has not improved. Prenatal interventions incorporating theory-led design and using components addressing the breadth of theory, more frequently reported improving breastfeeding self-efficacy and breastfeeding outcomes than those not theory-led. Intervention components used less frequently were vicarious or kinaesthetic learning (52.5%) and involvement of social circle support (26%). The Breastfeeding Self-Efficacy Scales were the most common measurement tool, despite being designed for postpartum use. Overall, issues were identified with the late prenatal timing of breastfeeding self-efficacy investigation and the design, content and phraseology of measurements and interventions used in the prenatal period., Conclusion: This review provides novel insights for consideration in the design and conduct of breastfeeding self-efficacy studies in the prenatal period. Future research should aim to be theory-led, commence earlier in pregnancy, and embed the breadth of self-efficacy theory into the design of interventions and measurement tools. This would provide more robust data on prenatal breastfeeding self-efficacy's role in impacting breastfeeding outcomes., (© 2024. The Author(s).)

Despite the well-known benefits of breastfeeding, breastfeeding rates remain suboptimal, particularly for women with lower socioeconomic position. Although popular, breastfeeding apps are often poor quality; their impact on breastfeeding knowledge, attitudes, confidence and intentions is unknown. A mixed method pre-post feasibility study was conducted to: 1) explore the feasibility of the My Baby Now app in providing perinatal breastfeeding support; 2) examine the impact on breastfeeding knowledge, attitudes, confidence and intentions; 3) to examine any differences in acceptability and impact of the app according to maternal education. The My Baby Now app was offered to pregnant women 20-30 weeks gestation. Breastfeeding knowledge and intentions were collected at baseline (T1) and 36-38 weeks gestation (T2); attitudes and confidence were collected at baseline, T2 and T3 (8-12 weeks post-partum). App engagement was measured via app analytics. Qualitative interviews were conducted with a purposeful sample following T3. Of 266 participants recruited, 169 (64%) completed T2 and 157 (59%) completed T3. Mothers without university education rated the app to be higher quality, more useful and impactful than mothers with university education. From T1-T2, breastfeeding knowledge (59.6% vs. 66.5%, p < 0.001) and exclusive breastfeeding intentions (76.6% vs. 80.9%, p < 0.001) increased. Breastfeeding attitudes and confidence scores also increased significantly across T1-T2 and T1-T3. App engagement during pregnancy predicted changes in breastfeeding attitudes from T1-T2 among participants without university education. App engagement did not predict changes in breastfeeding knowledge, confidence or intentions. Future randomised controlled studies should examine the effectiveness of mHealth interventions on breastfeeding outcomes., (© 2023 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd.)

Background: Nutrition education for clinicians providing pregnancy care has the potential to enhance pregnant women's diet quality, leading to healthier outcomes for mother and baby. Following a study demonstrating nutrition knowledge gaps, an online training module was developed, implemented, and evaluated., Methods: Antenatal care providers completed a pregnancy nutrition knowledge questionnaire to assess knowledge levels at baseline (n = 97) and nine months after the introduction of online training (n = 64)., Findings: Knowledge scores at baseline and post-training implementation were not significantly different. Sub-group post-training knowledge scores between clinicians who completed the training module was higher than for those that did not complete the training module. User experience of the training module was positive and they felt it was useful in enhancing nutrition knowledge. Just under half of clinicians felt more confident in providing nutrition advice as part of their pregnancy care. Clinicians reported that time constraints prevented them from completing the nutrition training and/or providing nutrition education. Despite the positive experience of completing the online training module, a majority of clinicians surveyed indicated they preferred face-to-face training., Conclusion: Further research exploring how nutrition is prioritised in antenatal appointments and how knowledge levels influence nutrition education practices is needed., Competing Interests: Declaration of Competing Interest None to declare., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Objective: This study examined parental work hours and household income as determinants of discretionary (energy-dense, nutrient-poor) food and beverage intake in young children, including differences by eating occasion., Design: Secondary analysis of cross-sectional data. Three hierarchical regression models were conducted with percentage of energy from discretionary food and beverages across the day, at main meals and at snack times being the outcomes. Dietary intake was assessed by 1 × 24-h recall and 1-2 × 24-h food record(s). Both maternal and paternal work hours were included, along with total household income. Covariates included household, parent and child factors., Setting: Data from the NOURISH/South Australian Infants Dietary Intake studies were collected between 2008 and 2013., Participants: Participants included 526 mother-child dyads (median (interquartile range) child age 1·99 (1·96, 2·03) years). Forty-one percentage of mothers did not work while 57 % of fathers worked 35-40 h/week. Most (85 %) households had an income of ≥$50 k AUD/year., Results: Household income was consistently inversely associated with discretionary energy intake ( β = -0·12 to -0·15). Maternal part-time employment (21-35 h/week) predicted child consumption of discretionary energy at main meals ( β = 0·10, P = 0·04). Paternal unemployment predicted a lower proportion of discretionary energy at snacks ( β = -0·09, P = 0·047)., Conclusions: This work suggests that household income should be addressed as a key opportunity-related barrier to healthy food provision in families of young children. Strategies to reduce the time burden of healthy main meal provision may be required in families where mothers juggle longer part-time working hours with caregiving and domestic duties. The need to consider the role of fathers and other parents/caregivers in shaping children's intake was also highlighted.