Addressing Preconception Behavior Change Through Mobile Phone Apps: Systematic Review and Meta-analysis.

BACKGROUND: Positive health behavior changes before pregnancy can optimize perinatal outcomes for mothers, babies, and future generations. Women are often motivated to positively change their behavior in preparation for pregnancy to enhance their health and well-being. Mobile phone apps may provide an opportunity to deliver public health interventions during the preconception period. OBJECTIVE: This review aimed to synthesize the evidence of the effectiveness of mobile phone apps in promoting positive behavior changes in women of reproductive age before they are pregnant (preconception and interconception periods), which may improve future outcomes for mothers and babies. METHODS: Five databases were searched in February 2022 for studies exploring mobile phone apps as a prepregnancy intervention to promote positive behavior change. The identified studies were retrieved and exported to EndNote (Thomson Reuters). Using Covidence (Veritas Health Innovation), a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) study flow diagram was generated to map the number of records identified, included, and excluded. Three independent reviewers assessed the risk of bias and conducted data extraction using the Review Manager software (version 5.4, The Cochrane Collaboration), and the data were then pooled using a random-effects model. The Grades of Recommendation, Assessment, Development, and Evaluation system was used to assess the certainty of the evidence. RESULTS: Of the 2973 publications identified, 7 (0.24%) were included. The total number of participants across the 7 trials was 3161. Of the 7 studies, 4 (57%) included participants in the interconception period, and 3 (43%) included women in the preconception period. Of the 7 studies, 5 (71%) studies focused on weight reduction, assessing the outcomes of reductions in adiposity and weight. Of the 7 studies, nutrition and dietary outcomes were evaluated in 2 (29%) studies, blood pressure outcomes were compared in 4 (57%) studies, and biochemical and marker outcomes associated with managing disease symptoms were included in 4 (57%) studies. Analysis showed that there were no statistically significant differences in energy intake; weight loss; body fat; and biomarkers such as glycated hemoglobin, total cholesterol, fasting lipid profiles, or blood pressure when compared with standard care. CONCLUSIONS: Owing to the limited number of studies and low certainty of the evidence, no firm conclusions can be drawn on the effects of mobile phone app interventions on promoting positive behavior changes in women of reproductive age before they are pregnant (preconception and interconception periods). TRIAL REGISTRATION: PROSPERO CRD42017065903; https://tinyurl.com/2p9dwk4a. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13643-019-0996-6.

Knowledge, attitudes and behaviours surrounding preconception and pregnancy health: an Australian cross-sectional survey.

OBJECTIVE: To understand Australian women's knowledge, attitudes and behaviours surrounding preconception and pregnancy health and their preferences for information about these periods. DESIGN: Cross-sectional survey. SETTING: Making healthy changes can optimise preconception and pregnancy outcomes. Clinical practice guidelines inform preconception and pregnancy care in Australia. Women often have access to multiple sources of information on reproductive and pregnancy health. PARTICIPANTS: Women of reproductive age were asked to complete a web-based survey. The survey development was informed by preconception guidelines, consensus statements and the national pregnancy care guidelines. The survey was distributed through social media, local and national networks from 2017 to 2018. RESULTS: Completed surveys were received from 553 women.The majority (80.4%) had high educational attainment. Checking immunisation status and ensuring good mental health were rated as equally important actions both preconception (65%) and during pregnancy (78%). Limiting sedentary activities was not rated as an important action to take either preconception (36%), or during pregnancy (38%). Although women have good knowledge about the impact of weight on their own health outcomes (eg, gestational diabetes), there was less knowledge about adverse outcomes for babies like stillbirth and preterm birth. Women access many sources for reproductive health information, however, the most trusted source was from healthcare professionals. CONCLUSION: Most women of reproductive age in Australia have knowledge of the key health recommendations for preconception and pregnancy. However, there are gaps related to lifestyle behaviours particularly connected to weight gain and outcomes for babies. There is a strong preference to receive trusted information from healthcare providers through multiple resources.

Perinatal mental healthcare: Developing skills in midwifery students.

Midwives have a pivotal role in screening for risk factors for mental illness and psychosocial vulnerabilities in women during the perinatal period. They also have a key responsibility to provide women with the appropriate resources to support their mental wellbeing. Midwives can lack confidence and/or feelings of competence regarding these skills. Care of women in the context of their perinatal mental health is a core midwifery skill that deserves practical learning during pre-registration education, just as the more 'hands on' skills such as abdominal palpation, labour and birth support or newborn examination. However, there is limited opportunity for students to gain clinical placement experiences that are specific to perinatal mental health (PMH). This discussion paper describes an innovative teaching and learning project that aimed to improve confidence in students' ability to conduct screening, support, and referral of women experiencing mental ill health. The project involved the development of an Objective Structured Clinical Examination (OSCE) and audio visual resources to support learning and teaching and clinical placement. Feedback was collected to inform the refinement of the first OSCE, and to assist in the design of the audio visual resources that are now displayed publicly on the Australian College of Midwives website at https://www.midwives.org.au/Web/Web/Professional-Development/Resources.aspx?hkey=12c2360e-d8b9-4286-8d0a-50aeaeca9702.

Setting Preconception Care Priorities in Australia Using a Delphi Technique.

Preconception health affects fertility, pregnancy, and future health outcomes but public awareness of this is low. Our aims were to rank priorities for preconception care (PCC), develop strategies to address these priorities, and establish values to guide future work in preconception healthcare in Australia. A Delphi technique involved two rounds of online voting and mid-round workshops. Inputs were a scoping review of PCC guidelines, a priority setting framework and existing networks that focus on health. During July and August, 2021, 23 multidisciplinary experts in PCC or social care, including a consumer advocate, completed the Delphi technique. Ten priority areas were identified, with health behaviors, medical history, weight, and reproductive health ranked most highly. Six strategies were identified. Underpinning values encompassed engagement with stakeholders, a life course view of preconception health, an integrated multi-sectorial approach and a need for large scale collaboration to implement interventions that deliver impact across health care, social care, policy and population health. Priority populations were considered within the social determinants of health. Health behaviors, medical history, weight, and reproductive health were ranked highly as PCC priorities. Key strategies to address priorities should be implemented with consideration of values that improve the preconception health of all Australians.

A Systematic Review of Clinical Guidelines for Preconception Care.

Preconception care (PCC) involves a wide-ranging set of interventions to optimize health prior to pregnancy. These interventions seek to enhance conception rates, pregnancy outcomes, childhood health, and the health of future generations. To assist health care providers to exercise high-quality clinical care in this domain, clinical practice guidelines from a range of settings have been published. This systematic review sought to identify existing freely accessible international guidelines, assess these in terms of their quality using the AGREE II tool, and assess the summary recommendations and the evidence level on which they are based. We identified 11 guidelines that focused on PCC. Ten of these were classified as moderate quality (scores ranging from 3.5 to 4.5 out of 7) and only one was classified as very high quality, scoring 6.5. The levels of evidence for recommendations ranged from the lowest possible level of evidence (III) to the highest (I-a): the highest quality evidence available is for folic acid supplementation to reduce risk of neural tube defects and the role of antiviral medication to prevent HIV transmission. This systematic review identified that high-quality guidelines on PCC are lacking and that few domains of PCC recommendations are supported by high-quality evidence.

Baby Buddy App for Breastfeeding and Behavior Change: Retrospective Study of the App Using the Behavior Change Wheel.

BACKGROUND: Breastfeeding plays a major role in the health of mothers and babies and has the potential to positively shape an individual's life both in the short and long term. In the United Kingdom (UK), although 81% of women initiate breastfeeding, only 1% of women breastfeed exclusively to 6 months as recommended by the World Health Organization. In the UK, women who are socially disadvantaged and younger are less likely to breastfeed at 6 to 8 weeks postpartum. One strategy that aims to improve these statistics is the Baby Buddy app, which has been designed and implemented by the UK charity Best Beginnings to be a universal intervention to help reduce health inequalities, including those in breastfeeding. OBJECTIVE: This study aimed to retrospectively examine the development of Baby Buddy by applying the Behavior Change Wheel (BCW) framework to understand how it might increase breastfeeding self-efficacy, knowledge, and confidence. METHODS: Retrospective application of the BCW was completed after the app was developed and embedded into maternity services. A three-stage process evaluation used triangulation methods and formalized tools to gain an understanding of the potential mechanisms and behaviors used in apps that are needed to improve breastfeeding rates in the UK. First, we generated a behavioral analysis by mapping breastfeeding barriers and enablers onto the Capability, Opportunity, and Motivation-Behavior (COM-B) system using documents provided by Best Beginnings. Second, we identified the intervention functions and policy categories used. Third, we linked these with the behavior change techniques identified in the app breastfeeding content using the Behavior Change Techniques Taxonomy (BCTTv1). RESULTS: Baby Buddy is a well-designed platform that could be used to change breastfeeding behaviors. Findings from stage one showed that Best Beginnings had defined breastfeeding as a key behavior requiring support and demonstrated a thorough understanding of the context in which breastfeeding occurs, the barriers and enablers of breastfeeding, and the target actions needed to support breastfeeding. In stage two, Best Beginnings had used intervention and policy functions to address the barriers and enablers of breastfeeding. In stage three, Baby Buddy had been assessed for acceptability, practicability, effectiveness, affordability, safety, and equity. Several behavior change techniques that could assist women with decision making around breastfeeding (eg, information about health consequences and credible sources) and possibly affect attitudes and self-efficacy were identified. Of the 39 videos in the app, 19 (49%) addressed physical capabilities related to breastfeeding and demonstrated positive breastfeeding behaviors. CONCLUSIONS: Applying a theoretical framework retrospectively to a mobile app is possible and results in useful information to understand potential health benefits and to inform future development. Future research should assess which components and behavioral techniques in the app are most effective in changing behavior and supporting breastfeeding.

Mobile Phone Apps in Australia for Improving Pregnancy Outcomes: Systematic Search on App Stores.

BACKGROUND: Women are increasingly turning to mobile health platforms to receive health information and support in pregnancy, yet the content of these platforms vary. Although there is great potential to influence health behaviors, little research has assessed the quality of these platforms or their ability to change behavior. In recent years, validated tools to assess app quality have become available. OBJECTIVE: To identify and assess the quality and ongoing popularity of the top 10 freely available pregnancy apps in Australia using validated tools. METHODS: A systematic search on app stores to identify apps was performed. A Google Play search used subject terms pregnancy, parenting, and childbirth; the iTunes search used alternative categories medical and health and fitness. The top 250 apps from each store were cross-referenced, and the top 100 found in both Google Play and iTunes were screened for eligibility. Apps that provided health information or advice for pregnancy were included. Excluded apps focused on nonhealth information (eg, baby names). The top 10 pregnancy apps were assessed using the Mobile App Rating Scale (MARS). A comparative analysis was conducted at 2 time points over 2 years to assess the ongoing popularity of the apps. The MARS score was compared to the download and star rating data collected from iTunes and Google Play in 2017 and 2019. Health behaviors including breastfeeding, healthy pregnancy weight, and maternal awareness of fetal movements were reviewed for apparent impact on the user's knowledge, attitudes, and behavior change intentions using the MARS perceived impact section and the Coventry, Aberdeen, and London-Refined (CALO-RE) taxonomy. RESULTS: A total of 2052 free apps were screened for eligibility, 1397 were excluded, and 655 were reviewed and scored. The top 10 apps were selected using download numbers and star ratings. All 10 apps were suboptimal in quality, practicality, and functionality. It was not possible to identify a primary purpose for all apps, and there was overlap in purpose for many. The mean overall MARS app quality score across all 10 apps was 3.01 (range 1.97-4.40) in 2017 and 3.40 (range 2.27-4.44) in 2019. A minority of apps scored well for perceived impact on health behavior using the MARS tool. Using the CALO-RE 40 item taxonomy, the number of behavior change techniques used was low. The mean number of behavior change techniques for breastfeeding was 5 (range 2-11), for pregnancy weight was 4 (range 2-12), and for maternal awareness of fetal movements was 5 (range 2-8). CONCLUSIONS: This review provides valuable information to clinicians and consumers about the quality of apps currently available for pregnancy in Australia. Consideration is needed regarding the regulation of information and the potential opportunity to incorporate behavior change techniques to improve maternal and fetal outcomes.

Addressing preconception behaviour change through mobile phone apps: a protocol for a systematic review and meta-analysis.

BACKGROUND: Many of the adverse outcomes experienced by mothers and babies are directly related to the health of the woman prior to pregnancy. This preconception period is a unique window of opportunity when women are often more motivated to optimise health and change their lifestyle in preparation for pregnancy. Several risk factors in the preconception period can contribute to adverse perinatal outcomes. These risk factors can be divided into three broad areas: biomedical, social and environmental. Mobile phone applications as a behaviour change intervention have the potential to address these risks through supporting the provision of information, healthier lifestyles and informed decision-making. The aim of this systematic review is to assess the effectiveness of mobile phone applications in promoting behaviour change and improving long-term outcomes for mother and babies, in women of reproductive age. METHODS: This review will include trials that assess any mobile phone application (app) that assist women of reproductive age to optimise health behaviours. Randomised controlled trials, quasi-randomised controlled trials and cluster-randomised trials will be included. The search strategy will use both MeSH and keyword combinations to search databases including the WHO Global Health Library, CINHAL, The Cochrane Library, Embase and MEDLINE for relevant studies. Retrieved citations will be screened independently by two authors to assess eligibility. Studies will be selected only if the intervention was commenced prior to pregnancy. Comparisons will be made including mobile phone applications versus text messaging-based communications or paper-based, face-to-face or telephone conversations and standard care or no specific intervention. The Cochrane Handbook for Systematic Reviews of Interventions will be utilised to assess the quality of included randomised studies. Primary and secondary outcomes will be compared and analysed. Results of the review will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) guidelines. DISCUSSION: This systematic review is the first to assess the effects of preconception mobile phone app behaviour change and educational interventions in improving future pregnancy and maternal and child outcomes, in women of reproductive age. SYSTEMATIC REVIEW REGISTRATION: PROSPERO 2017: CRD42017065903 .

Understanding and provision of preconception care by general practitioners.

BACKGROUND: Preconception care (PCC) defines health interventions prior to conception aimed at improving pregnancy and infant outcomes. AIM: To explore the understanding and provision of PCC by general practitioners (GPs) within the Sydney Local Health District. MATERIALS AND METHODS: A questionnaire developed with GPs assessed structure and content of PCC provided, attitudes toward PCC and perceived barriers and facilitators. RESULTS: One hundred and ten GPs completed the survey: 84% reported that GPs should be the main providers of PCC; however, only 53% were aware of PCC guidelines. Seventy-five percent of responders initiated PCC discussion with women of reproductive age, 56% provided PCC to women at higher risk of adverse outcomes and 16% waited for the discussion to be initiated by the patient. Smoking, vaccination, alcohol and supplements/medication use were the most discussed PCC components, while serology, full blood count and blood pressure were the most performed assessments. Most respondents stated that PCC is essential for women with pre-existing diabetes, previous pregnancy complications or chronic illness. However, only 45% stated PCC was essential for women >35 years and 39% for women who were overweight. Importantly, weight and mental health were among the least discussed PCC components. CONCLUSION: General practitioners are key providers of PCC; however, only half are aware of PCC guidelines and most do not recognise overweight to be a significant preconception issue. The most common barriers to PCC delivery were time constraints, lack of knowledge and lack of resources for patients. Improved resources and education are required to support adequate PCC provision.