Understanding Preconception Women’s Needs and Preferences for Digital Health Resources: Qualitative Study

Preconception health and care policies, strategies and guidelines in the UK and Ireland: a scoping review

BACKGROUND

Preconception health has the potential to improve parental, pregnancy and infant outcomes. This scoping review aims to (1) provide an overview of the strategies, policies, guidelines, frameworks, and recommendations available in the UK and Ireland that address preconception health and care, identifying common approaches and health-influencing factors that are targeted; and (2) conduct an audit to explore the awareness and use of resources found in the scoping review amongst healthcare professionals, to validate and contextualise findings relevant to Northern Ireland.

METHODS

Grey literature resources were identified through Google Advanced Search, NICE, OpenAire, ProQuest and relevant public health and government websites. Resources were included if published, reviewed, or updated between January 2011 and May 2022. Data were extracted into Excel and coded using NVivo. The review design included the involvement of the "Healthy Reproductive Years" Patient and Public Involvement and Engagement advisory panel.

RESULTS

The searches identified 273 resources, and a subsequent audit with healthcare professionals in Northern Ireland revealed five additional preconception health-related resources. A wide range of resource types were identified, and preconception health was often not the only focus of the resources reviewed. Resources proposed approaches to improve preconception health and care, such as the need for improved awareness and access to care, preconceptual counselling, multidisciplinary collaborations, and the adoption of a life-course approach. Many behavioural (e.g., folic acid intake, smoking), biomedical (e.g., mental and physical health conditions), and environmental and social (e.g., deprivation) factors were identified and addressed in the resources reviewed. In particular, pre-existing physical health conditions were frequently mentioned, with fewer resources addressing psychological factors and mental health. Overall, there was a greater focus on women's, rather than men's, behaviours.

CONCLUSIONS

This scoping review synthesised existing resources available in the UK and Ireland to identify a wide range of common approaches and factors that influence preconception health and care. Efforts are needed to implement the identified resources (e.g., strategies, guidelines) to support people of childbearing age to access preconception care and optimise their preconception health.

Continuance intention and digital health resources from the perspective of elaboration likelihood model and DART model: a structural equation modeling analysis

Background

Internet hospitals, online health communities, and other digital health APPs have brought many changes to people's lives. However, digital health resources are experiencing low continuance intention due to many factors, including information security, service quality, and personal characteristics of users.

Methods

We used cross-sectional surveys and structural equation modeling analysis to explore factors influencing user willingness to continue using digital health resources.

Results

Information quality (β = 0.31, p < 0.05), service quality (β = 0.19, p < 0.05), platform reputation (β = 0.34, p < 0.05), and emotional support (β = 0.23, p < 0.05) have significant positive effects on user value co-creation behavior. Additionally, user trust and perceived usefulness could mediate the association between user value co-creation behavior and continuance intention, with mediation effects of 0.143 and 0.125, respectively. User involvement can positively moderate the association between user value co-creation behavior and user trust (β = 0.151, t = 2.480, p < 0.001). Also, user involvement can positively moderate the association between value co-creation behavior and perceived usefulness (β = 0.103, t = 3.377, p < 0.001).

Conclusion

The keys to solving the problem of low continuance intention are improving the quality and service level of digital health resources, and promoting users' value co-creation behavior. Meanwhile, enterprises should build a good reputation, create a positive communication atmosphere in the community, and enhance user participation and sense of belonging.

Digital preconception interventions targeting weight, diet and physical activity: A systematic review

AIM

Optimising preconception health increases the likelihood of conception, positively influences short- and long-term pregnancy outcomes and reduces intergenerational chronic disease risk. Our aim was to synthesise study characteristics and maternal outcomes of digital or blended (combining face to face and digital modalities) interventions in the preconception period.

METHODS

We searched six databases (PubMed, Cochrane, Embase, Web of Science, CINHAL and PsycINFO) from 1990 to November 2022 according to the PRISMA guidelines for randomised control trials, quasi-experimental trials, observation studies with historical control group. Studies were included if they targeted women of childbearing age, older than 18 years, who were not currently pregnant and were between pregnancies or/and actively trying to conceive. Interventions had to be delivered digitally or via digital health in combination with face-to-face delivery and aimed to improve modifiable behaviours, including dietary intake, physical activity, weight and supplementation. Studies that included women diagnosed with type 1 or 2 diabetes were excluded. Risk of bias was assessed using the Academy of Nutrition and Dietetics quality criteria checklist. Study characteristics, intervention characteristics and outcome data were extracted.

RESULTS

Ten studies (total participants n=4,461) were included, consisting of nine randomised control trials and one pre-post cohort study. Seven studies received a low risk of bias and two received a neutral risk of bias. Four were digitally delivered and six were delivered using blended modalities. A wide range of digital delivery modalities were employed, with the most common being email and text messaging. Other digital delivery methods included web-based educational materials, social media, phone applications, online forums and online conversational agents. Studies with longer engagement that utilised blended delivery showed greater weight loss.

CONCLUSION

More effective interventions appear to combine both traditional and digital delivery methods. More research is needed to adequately test effective delivery modalities across a diverse range of digital delivery methods, as high heterogeneity was observed across the small number of included studies.

Digital Health Needs and Preferences During Pregnancy and the Postpartum Period: Mixed Methods Study

BACKGROUND

Digital health is increasingly used to meet the needs of perinatal people, with estimates of pregnancy-related internet use ranging from 90% to 97% of pregnant people. As digital health takes on greater importance during the perinatal period, it is essential that providers and developers of digital health content understand why perinatal people use these resources and the features that enhance their experience. However, gaps remain in understanding the content that is most helpful and how the platforms are navigated. Learning directly from perinatal people about their needs will help ensure alignment between perinatal needs and available content.

OBJECTIVE

This formative study aims to identify the reasons why perinatal people use digital health resources; the features of the digital health platforms that are of greatest importance to them; and how these differ by perinatal stage (pregnancy vs post partum), mental health conditions, parity, and demographics (race and ethnicity).

METHODS

This mixed methods study used interviews; surveys; and secondary data on demographic, health, and pregnancy characteristics to identify the digital health needs and preferences of pregnant and postpartum people who used the Maven digital health platform in the United States during their pregnancy or postpartum period. The interviews informed the content of the surveys and provided additional insights and examples for interpreting the survey results. The surveys were used to collect data from a sample of Maven users, and the results were linked to the secondary data set. The interviews were thematically analyzed, and survey data were analyzed using descriptive statistics and stratified by parity, race, and mental health status.

RESULTS

Overall, 13 people were interviewed (including n=4, 31% pilot interviews), and 147 pregnancy and 110 postpartum survey respondents completed the surveys and had linkable secondary data. Top reasons for using digital health resources during pregnancy were to (1) know what is normal or typical during pregnancy, (2) have access to a health care provider when needed, and (3) know how the baby is developing. Top reasons for postpartum use were to (1) help with breastfeeding, (2) know what normal baby development is, and (3) help with the baby's health issues. Top platform features during pregnancy and the postpartum period were (1) credible and trustworthy information and providers, (2) nonjudgmental information and support, and (3) no cost to the user. In general, more reasons for using digital resources were identified as extremely important during pregnancy compared with post partum. The results showed minor variations across strata.

CONCLUSIONS

This formative research found minor differences in digital resource needs and preferences across user characteristics among perinatal people in the United States. Future work should examine whether there are variations in interests within topics by user characteristics, which may provide additional opportunities to better meet user needs.