- Open Access
The effect of a locally tailored intervention on the uptake of preconception care in the Netherlands: a stepped-wedge cluster randomized trial (APROPOS-II study)
BMC Public Health volume 22, Article number: 1997 (2022)
The preconception period provides a window of opportunity for interventions aiming to reduce unhealthy lifestyle behaviours and their negative effect on pregnancy outcomes. This study aimed to assess the effectiveness of a locally tailored preconception care (PCC) intervention in a hybrid-II effectiveness implementation design.
A stepped-wedge cluster randomized controlled trial was performed in four Dutch municipalities. The intervention contained a social marketing strategy aiming to improve the uptake (prospective parents) and the provision (healthcare providers) of PCC. Prospective parents participated by administering a questionnaire in early pregnancy recalling their preconceptional behaviours. Experiences of healthcare providers were also evaluated through questionnaires. The composite primary outcome was adherence to at least three out of four preconceptional lifestyle recommendations (early initiation of folic acid supplements, healthy nutrition, no smoking or alcohol use). Secondary outcomes were preconceptional lifestyle behaviour change, (online) reach of the intervention and improved knowledge among healthcare providers.
A total of 850 women and 154 men participated in the control phase and 213 women and 39 men in the intervention phase. The composite primary outcome significantly improved among women participating in the municipality where the reach of the intervention was highest (Relative Risk (RR) 1.57 (95% Confidence Interval (CI) 1.11–2.22). Among women, vegetable intake had significantly improved in the intervention phase (RR 1.82 (95%CI 1.14–2.91)). The aimed online reach- and engagement rate of the intervention was achieved most of the time. Also, after the intervention, more healthcare providers were aware of PCC-risk factors (54.5% vs. 47.7%; p = 0.040) and more healthcare providers considered it easier to start a conversation about PCC (75.0% vs. 47.9%; p = 0.030).
The intervention showed some tentative positive effects on lifestyle behaviours among prospective parents. Primarily on vegetable intake and the knowledge and competence of healthcare providers. The results of this study contribute to the evidence regarding successfully implementing PCC-interventions to optimize the health of prospective parents and future generations.
Dutch Trial Register: NL7784 (Registered 06/06/2019).
Worldwide, every 11 seconds a pregnant woman or newborn dies, mostly due to preventable causes . In 2008, it was reported that perinatal mortality and morbidity rates in the Netherlands were relatively high compared to other European countries. Since then, many health promotion initiatives have been launched focussing on the prevention and recognition of potential risk factors for adverse pregnancy outcomes, such as preterm birth and fetal growth restriction [2, 3]. Analysis of the collected evidence has shown that exposure to unhealthy lifestyle behaviours before or during pregnancy, such as smoking, unhealthy nutrition, alcohol consumption and physical inactivity, negatively affect pregnancy outcomes [4,5,6]. In addition, other studies suggest that women suffering from adverse pregnancy outcomes have an increased risk for developing long-term health issues, such as obesity, type 2 diabetes and cardiovascular- and respiratory disease [7,8,9,10]. Despite major advances in clinical research, medical technology and health promotion initiatives, only a moderate decrease in adverse pregnancy outcome rates has been observed in recent years [11, 12].
While over 85% of pregnancies in the Netherlands are planned, many women do not actively prepare for pregnancy by making recommended lifestyle adjustments, such as timely folic acid supplement use . Moreover, the majority of men also make no lifestyle adjustments to improve their health and fertility prior to conception [14, 15]. As the first months of pregnancy are essential for implantation, organogenesis and placental development, and considering the high prevalence of unhealthy lifestyle behaviours in the reproductive population, the preconception period provides a window of opportunity to intervene [4, 5, 16,17,18,19,20,21,22,23]. Hence, preconception care (PCC) is introduced as a set of interventions aiming to identify and enable informed decision-making to modify biomedical, behavioural, and (psycho) social risks to parental health and the health of their future child, through counselling, prevention and management . Despite increasing international recognition of the potential health-promoting benefits of PCC, the uptake of PCC-consultations remains remarkably low [25,26,27]. Suggested reasons for the low uptake of PCC include difficulties with reaching the target population and low awareness of preconceptional risk factors among healthcare providers .
Previously developed PCC-interventions have had only limited success and mainly focused on individual behaviour change rather than social, structural, and environmental elements that can influence preconception health, such as the social setting or general PCC-knowledge . Hence, suggestions are made to actively engage prospective parents in PCC by creating a social movement and promoting preconceptional health through social marketing campaigns [30, 31]. A previous locally tailored PCC-intervention promoting preconceptional health was implemented and evaluated in a feasibility study (APROPOS-I) conducted by our group in 2017, which led to improved preconceptional lifestyle behaviours and increased use of PCC among prospective parents . In the current study (APROPOS-II), we enhanced this previous PCC-intervention by including a social marketing strategy and a larger study population [33, 34]. This study aims to assess the effectiveness of the APROPOS-II intervention in a hybrid-II effectiveness implementation design on (1) adequate preconceptional (lifestyle) behaviours among prospective parents and (2) provision of PCC and PCC-knowledge among healthcare providers.
In this stepped-wedge cluster randomized controlled trial (hybrid-II), the locally tailored PCC-intervention of the APROPOS-II study was implemented and evaluated in four municipalities (clusters) in the Netherlands (Amersfoort, Barneveld, Deventer and Zoetermeer). Randomization occurred at cluster-level instead of an individual-level since the entire target population (prospective parents in their reproductive lifespan) was exposed to the intervention due to its community-based approach. A detailed description of the study design of the APROPOS-II study has been published elsewhere . The participating municipalities represent the four clusters and varied in size from approximately 60,000 to 160,000 inhabitants per municipality . This study was registered in the Dutch Trial Register on 06/06/2019, under trial number NL7784.
The first registration of this study was obtained on 18/06/2019 and inclusion continued until 01/06/2021. According to our initial planning, implementation of the intervention in the first municipality should have taken place in March 2020. However, due to the COVID-19 pandemic, implementation was postponed and not launched until September 2020, the originally planned interventions are displayed in Fig. 1 with the dashed line. As a result, the intervention phase of the study was shorter than the control phase. This study was approved by the Medical Ethical Review Board (MEC-2019–0278) of the Erasmus MC, University Medical Centre Rotterdam and informed consent was obtained from all participants.
The PCC-intervention was specifically developed for this study and was based on pre-implementation research from the APROPOS feasibility study . The intervention contained a dual-track approach and focused on the uptake of PCC (the prospective parents) as well as the provision of PCC (healthcare providers). A detailed overview of the content of the intervention is shown in Fig. 2 and described below:
Focus on uptake of PCC (prospective parents)
In collaboration with a marketing agency, a new social marketing strategy called “Woke Women®” was developed. This social marketing strategy uses commercial marketing technologies to improve preconceptional behaviours of the target population (prospective parents) . The slogan of the Woke Women® campaign was: ‘Wake up smart (future) mama! Let’s make your baby strong’. A detailed description of the development of the Woke Women® campaign has previously been published . During the entire intervention phase, the following implementation strategies were used: PCC-consultations were facilitated at all midwifery practices as part of standard care, but also evidence-based PCC-information was distributed using different mediums, such as posters, flyers, billboards, bicycle saddle covers, newspaper items, radio programs, word-of-mouth marketing and social media feeds. All these items were used to refer prospective parents to the project website (www.wokewomen.nl) containing evidence-based information on preconception health and risk factors. The intervention phase was initiated with a large campaign week during which the campaign was launched with lots of media attention. The target population was reached through several (social) media channels using organic feed, stories and give-away actions. Our Instagram (@Woke_Women_NL) and Facebook channels were promoted and endorsed by local ambassadors. Local ambassadors are influential women with broad networks within society (e.g., online influencers, local hairdressers, maternity fitness coaches and local restaurant owners) who act as potential role models for prospective parents within their community, and can inspire them to optimize their (preconceptional) health. The local ambassadors were an important element of the intervention, providing opportunities to collaborate with them on special promotions (e.g. Woke Women® sandwich and salad), events, social media and the offline distributing of campaign materials.
Focus on provision of PCC (healthcare providers)
In all participating municipalities, a working conference among healthcare providers of multidisciplinary backgrounds (e.g. midwives, general practitioners, dieticians, physiotherapists, etc.) was organized approximately three months prior to the intervention, to educate them on preconceptional health and risk factors and to conduct a region-specific bottleneck analysis . Next, a smaller multidisciplinary group of healthcare providers formed a local stakeholder coalition to tailor the PCC-intervention to their municipality, e.g. listing distribution locations for the campaign materials, suggesting potential collaborating partners, and establishing a primary target population for the intervention. To improve interdisciplinary collaboration among healthcare providers, a local care pathway was developed and implemented in all municipalities, including interdisciplinary arrangements for collaboration and referral between primary, secondary and tertiary care.
Participants and setting
During the two-year inclusion period, every pregnant woman who attended one of the eight recruiting community midwifery practices for their booking visit were asked by their midwife to participate in the study. These midwifery practices were all located in four municipalities (i.e. the clusters), with together approximately 3,400 booking visits per year. All pregnant women above the age of 18 years who adequately mastered the Dutch, English, Polish or Turkish language were eligible and approached to participate in the study. Prospective fathers were recruited through their participating partners and were also asked to participate in the study. Given the stepped-wedge design of the study, participants were enrolled in either the control- or intervention group depending on the time of inclusion.
At the end of each working conference, attending healthcare providers were asked to participate in the study by administering a questionnaire on their perceptions on the provision of PCC. The same healthcare providers, plus all midwives working in one of the recruiting midwifery practices, were asked to anonymously fill out a follow-up questionnaire three to six months after the intervention. Hence, the group of healthcare providers before and after the intervention were only partly identical.
Data collection and outcome measures
After providing informed consent, participation in the study required filling out a single questionnaire that took an average of 15 min to complete and could be administered online or via hardcopy. The questionnaire was available in Dutch, English, Polish and Turkish, languages mastered by the majority of the inhabitants of the participating municipalities. The questionnaire for prospective parents included aspects of previously validated questionnaires, such as the London Measure of Unplanned Pregnancy, the Dutch preconception tool ‘Preparing for Pregnancy’ (www.zwangerwijzer.nl) and the APROPOS feasibility study [32, 37, 38]. The questionnaire for women contained four main sections: pregnancy planning, pregnancy preparation, lifestyle behaviours and risk factors, and demographic characteristics. To assess preconceptional lifestyle behaviour change, several questions elaborated exactly on when initiation or cessation of these behaviours took place, either before or after pregnancy recognition. The questionnaire for men was shorter and solely focused on periconceptional lifestyle behaviours and pregnancy planning. For both the control- and the intervention group, the same questionnaire was used, except for six additional campaign evaluation questions in the intervention group. Questionnaires of participants who discontinued before finishing the first section (12% of the questionnaire), were regarded as incomplete questionnaires. The English versions of the questionnaires for women and men are provided in the Supplemental Material.
The primary outcome of this study among prospective parents was improved preconceptional lifestyle behaviour. This primary outcome was a dichotomous composite outcome expressed for women as adherence to at least three of four preconceptional lifestyle behaviour recommendations: 1) timely initiation of folic acid supplements (> 400 micrograms ≥ 4 weeks before conception), 2) no alcohol use, 3) no smoking, and 4) adherence to at least two of the following preconceptional nutrition recommendations: fruit intake (≥ 2 pieces per day), vegetable intake (≥ 250 g per day) and caffeine intake (≤ 2 beverages per day) [13, 39,40,41]. For men, the primary outcome was expressed as the adherence to two preconceptional lifestyle recommendations (not smoking nor using alcohol).
Secondary outcomes among prospective parents were:
Change from inadequate to adequate lifestyle behaviours regarding preconceptional alcohol use and smoking;
The preconceptional behaviours: retrieved PCC-information (e.g. internet, books, journals, folders or family & friends) and/or visited a PCC-consultation;
Reach of the intervention: the offline and online reach of the intervention among the participants, was measured through 1) the questionnaire, in which participants were asked whether they took notice of the Woke Women® campaign after providing some examples of the distribution materials, and 2) visiting- and interaction statistics from the Woke Women website (Google analytics) and Instagram account (Instagram statistics). These latter were expressed as: the number of weekly website visits, number of Instagram followers per month, and number of views and reactions (likes/comments/shares) per Instagram post. The reach rate (the number of views divided by the number of followers) and the engagement rate (the number of reactions divided by the number of followers) were calculated per post and averaged per week. Based on similar Instagram accounts, we aimed for a reach rate of ≥ 36% and an engagement rate of ≥ 4.5%.
The following patient characteristics were assessed in both women and men: age, ethnic background (Dutch or non-Dutch), parity (first-time parent or no first-time parent), mode of conception (spontaneous or assisted reproduction) and educational level (low/moderate or high). According to Dutch classifications, low educational attainment contains: no education, lower vocational education and lower secondary education; moderate educational attainment contained: intermediate vocational education, high school, pre-university education; and high educational attainment contained: higher vocational education and university . In the questionnaire for women, we also assessed the presence of a chronic illness, e.g. asthma or diabetes (yes or no) and pre-pregnancy weight and height. Hence, Body Mass Index (BMI) was calculated and categorised as underweight (< 18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2) and obese (≥ 30.0 kg/m2) . While originally planned in the protocol paper, due to logistical constraints as a result of the COVID-19 pandemic pregnancy- and neonatal outcomes were not collected in this study. In addition, results on the relation between pregnancy planning (using the London Measure of Unplanned pregnancy), health beliefs and preconceptional lifestyle behaviours with data of the control phase, has recently been published elsewhere .
The questionnaire for healthcare providers assessed how PCC impacted their daily work routine and contained eight validated Normalisation MeAsure Development (NOMAD) statements and two additional statements on healthcare providers’ beliefs regarding PCC [45, 46]. We hypothesized that the PCC-intervention could impact the work of midwives differently than of non-midwives, since non-midwives are usually not trained to provide PCC. Hence, the questionnaire for non-midwives contained three additional statements. Agreement to the statements were assessed either on a ten-point scale (1 = not at all – 10 = completely) or on a five-point scale (1 = disagree – 5 = agree). The English version of the questionnaires for healthcare providers is provided in the Supplemental Material.
The main outcome measures for healthcare providers were:
Provision of PCC: the yearly number of PCC-consultations provided before and after the intervention.
PCC-beliefs: based on answers to the statements regarding PCC in the questionnaire before and after the intervention.
The following characteristics were assessed among healthcare providers: profession, municipality, years of working experience in their current job (< 5 years – 5–20 years – > 20 years) and the yearly number of PCC-consultations provided (never – 1–4 times per year – ≥ 5 times per year).
Sample size and data analysis
In accordance with the sample size estimation method of Hemming and Taljaard, the sample size for this study was determined on 2,167 female participants (initially based on six municipalities) . Baseline data for all participants are presented as numbers and percentages for categorical variables or as medians and interquartile ranges (IQR) for continuous variables. In accordance with the study design of a randomized controlled trial, we identified differences in adherence and change of preconceptional (lifestyle) behaviours between the control- and intervention group, relative risks (RR) with 95% confidential intervals (CI). Risks were calculated for the total group as well as per municipality. Due to the low sample size, as a result of the COVID-19 pandemic, we opted to refrain from the ANCOVA-test as originally planned in our protocol. Differences in awareness of the campaign per municipality were assessed with a chi-square test.
To assess differences in baseline characteristics between healthcare providers in the control- and intervention group, chi-square tests for categorical variables and Mann–Whitney U-tests for continuous variables were performed. For the analysis, the five-point scales answer options of the statements were adjusted to three-point scales (disagree, neutral or agree). Differences in responses between healthcare providers in the control- and intervention phase were compared using chi-square tests (for the statements with a three-point scale) or Mann–Whitney U-tests (for the statements with a ten-point scale). All data were analysed using IBM SPSS for Windows version 25.0 and P-values < 0.05 were considered statistically significant.
Baseline characteristics of prospective parents
A total of 1,063 pregnant women participated in our study, of which 850 (80.0%) enrolled during the control phase and 213 (20.0%) during the intervention phase (Fig. 1). In addition, 193 male partners enrolled in the study; 154 (79.8%) in the control phase and 39 (20.2%) in the intervention phase. The median age was 31 years (IQR = 28–33) for the participating women and 33 years (IQR = 30–36) for the participating men. The majority of the participating prospective parents were of Dutch origin (960 women, 94.5%; 191 men, 99.0%) and highly educated (658 women, 61.9%; 128 men, 66.7%). All sociodemographic characteristics between the control and intervention groups were comparable, except for parity. The intervention group represented more first-time parents, 58.5% versus (vs) 45.6% among women and 69.2% vs 51.3% among men (Table 1).
Preconceptional (lifestyle) behaviours
The primary outcome (adherence to preconceptional lifestyle recommendations) showed no statistical difference between the control- and intervention-phase among women (RR 1.05; 95% CI 0.87–1.27) (Table 2). Overall, more women in the intervention phase adhered to the recommended preconceptional lifestyle behaviours compared to the women in the control phase, but none of these differences were statistically significant, except for vegetable intake (RR 1.82; 95% CI 1.14–2.91). Women tended to be more likely to preconceptionally quit alcohol use (RR 1.09; 95% CI 0.80–1.50) and smoking (RR 1.30; 95% CI 0.44–3.81) in the intervention phase compared to the control phase, although this was not statistically significant. Women in the intervention phase also tended to be more likely to retrieve PCC-information (RR 1.05; 95% CI 0.93–1.18) or visit a healthcare provider for a PCC-consultation (RR 1.15; 95% CI 0.90–1.48) compared to women in the control phase, although again this was not statistically significant.
More men in the intervention phase adhered to both preconceptional lifestyle recommendations (no preconceptional smoking nor alcohol use; RR 1.07; 95% CI 0.65–1.77), compared to men in the control phase. Also, in the intervention phase, more men made ceased their alcohol consumption before conception compared to men in the control phase (RR 1.71; 95% CI 0.64–4.55). Again, both these differences showed no statistical significance.
Reach of the Woke Women® campaign
During the campaign weeks, over 60,000 flyers and 2,000 posters were distributed among 528 locations in all four municipalities (Fig. 2). Of all the women participating in the intervention phase, 34 (16.3%) women could actively recall noticing the Woke Women® campaign. Social media activities (53.0%) and the distribution of flyer materials (17.7%) were the most recalled campaign items. Awareness of the campaign significantly differed per municipality (p < 0.001), varying from 2.9% of women actively recalling the campaign in Zoetermeer to 32.5% in Deventer (Table 3). In municipalities where the campaign was more frequently noticed, women also retrieved PCC-information and more often adhered to preconceptional lifestyle recommendations compared to municipalities with a lower awareness. For example, in Amersfoort, 32.0% of women in the intervention phase noticed the campaign and significantly more women adhered to at least three lifestyle recommendations after the intervention (RR 1.57 (95% CI 1.11–2.22)) (Table 3).
Online data derived from the Woke Women® website and Instagram account are visualised in Fig. 3. During the intervention period of nine months, the number of Instagram followers rose to 1,122 and a total of 100 online posts with PCC-information were distributed. The aimed reach rate of ≥ 36% was achieved most of the time, varying from 22.1% to 83.8%. The aimed engagement rate of ≥ 4.5% was achieved intermittently, varying from 0.8% to 9.3%. The project website was visited over 5,300 times during the intervention phase with an average of 114 visits per week. During the campaign weeks, the number of website visits increased by almost 700% up to 800 visits in one week.
A total of 83 healthcare providers participated in the control phase (78% response rate) and 56 in the intervention phase (53% response rate) (Table 4). The majority of healthcare providers were midwives, followed by healthcare providers working at preventive child health services. The number of provided PCC-consultations was comparable before and after the intervention (p = 0.760). In the intervention phase, healthcare providers were significantly more often aware of the recent literature/guidelines on PCC-risk factors (54.5% vs 47.7%; p = 0.040) compared to the control phase (Fig. 4). In addition, in the intervention phase, non-midwives felt more competent to provide PCC-information to couples with a wish to conceive (47.8% vs 38.8%; p = 0.534) and found it significantly easier to start a conversation about a possible wish to conceive (75.0% vs 47.9%; p = 0.030) compared to the control phase.
This study presents the effectiveness of the implementation of a locally tailored PCC-intervention in four municipalities in the Netherlands. We showed some tentative positive effects since pregnant women in the intervention phase were more prone to adhere to preconceptional lifestyle recommendations, especially among women from municipalities in which the awareness of the campaign was higher. While the increased website visits in the intervention phase were closely associated with the timing of the campaign weeks, social media showed to be a more consistent medium to reach the target population in all municipalities simultaneously. Finally, in the intervention phase, healthcare providers were more aware of the recent literature/guidelines on PCC-risk factors and experienced fewer barriers to start a conversation about a possible wish to conceive, compared to healthcare providers in the control phase.
The results of our study show that, despite extensive efforts and a multifaceted intervention, it remains difficult to reach the target population (i.e. women and men of reproductive age) since only 16% of the participants could actively recall the intervention. Previous health awareness campaigns in the field of maternity care, varying in size of the targeted region and extent of the intervention, showed recall rates varying between 12 and 55% [32, 48, 49]. One of the biggest challenges in developing a successful social marketing strategy for PCC is finding one single strategy that resonates with a large and diverse target population . A previous study suggested developing different strategies for different target populations: (1) the general reproductive-aged population; (2) women and men planning to conceive; and (3) high-risk groups, including women and men in difficult social situations, those who have had previous adverse pregnancy outcomes, and those with known medical disorders . We incorporated these strategies in our intervention for instance by recruiting local ambassadors with a network amongst several high-risk populations, since previous literature showed that these groups are preferably reached through their social network . Other previously suggested difficulties when implementing a social marketing strategy for PCC entail that PCC is an unknown form of care, it assumes that pregnancies are always planned, prospective parents have a desire to keep their wish to conceive secret, and that there is a diverse set of behaviours involved in PCC [50, 52,53,54,55,56,57].
Our locally tailored PCC-intervention showed only a limited effect on preconceptional lifestyle behaviour adherence and change compared to previously developed PCC-interventions focusing on implementing individualized PCC-counseling, demonstrating improved daily pre-pregnancy multivitamin consumption, healthier diet and alcohol cessation before pregnancy [17, 18, 32]. Presumably, a PCC-intervention using a community approach requires more time to become effective. Hence, changing health behaviours, in general, is difficult, time consuming and commonly underestimated . Therefore, as previous research already advocated and the results of our study reconfirm, health campaigns can have important functions and can be effective, however, they should be part of larger (programmatic) multifaceted interventions focussing on different individual approaches since behaviour change is not just about basic messaging [58, 59]. Here lies an opportunity to distribute information through social media and local ambassadors/influencers, since these mediums are valued for their potential to engage with the target audience to promote programs, products, and services [60,61,62].
With regard to healthcare providers, previous research showed that even though the majority of professionals have positive attitudes towards PCC, knowledge on PCC-risk factors is lacking and there is a need for education and postgraduate courses [46, 63,64,65]. The healthcare providers that participated in our study reported improved knowledge on the recent literature/guidelines on PCC-risk factors after the intervention, proving how our PCC-intervention is a successful tool to increase such PCC-knowledge. However, still, the majority of healthcare providers did not agree with the statement that PCC is well organised in their municipality. Therefore, based on our study results and recommendations made in previous studies, we suggest structurally embedding PCC in a healthcare system and sharing accountability and responsibility for providing PCC [46, 66, 67]. Increasing awareness among multidisciplinary healthcare professionals and the target population on the potential health benefits that PCC can generate is a potential first step. Hence, a shift is needed towards a healthcare system in which childbearing plans and reproductive health are actively addressed to every couple, every time.
Strengths and limitations
To our knowledge, this was the first randomized study assessing the effectiveness of an evidence-based social marketing strategy for PCC on preconceptional lifestyle recommendation adherence. One of the strengths of this study is its dual-track approach, i.e. focussing on both the uptake (among prospective parents) and provision (among healthcare providers) of PCC, thereby collecting data from different points of view. In addition, this study is one of the first studies to measure the effect of a PCC-intervention through online data derived from website visits as well as social media data regarding reach rate and engagement rate.
The COVID-19 pandemic has had a large impact on our study; not only did we had to postpone the launch of the campaign weeks for a minimum of six months, but the lockdown measures also caused many people to stay at home resulting in impaired visibility of the offline part of the campaign. We originally planned to implement the intervention in six different municipalities in the Netherlands, however, after the start of the study the first municipality withdrew from participating due to logistical reasons and launching the campaign in the final municipality was no longer feasible due to a second COVID-19 lockdown. All this has resulted in a smaller sample size than expected and a size difference between the control- and intervention phases, possibly affecting the scope of our study design due to the COVID-19 pandemic. The uneven distribution of inclusions between the control- and intervention phases might also be explained by the differences in size between municipalities. This small sample size may have impeded us from adequately measuring the effects of the intervention on the primary outcome (i.e. adherence to preconceptional lifestyle recommendations). Nonetheless, the sample size of this cohort still exceeds many previous national interventions attempting to improve preconceptional behaviours [32, 68,69,70]. In addition, due to the low sample size, we were not able to perform an in-depth analysis of the differences between clusters. Therefore, clustering bias could have occurred. However, since the comparability of the participants’ characteristics between the control- and invention group is high, we don’t expect this potential bias to have affected our results too much. Another limitation of this study is potential responder bias. While in the control phase still 78% of healthcare providers who attended the working conference participated in the study, in the intervention phase this rate decreased to 54%, possibly indicating the lack of interest in the topic. Among prospective parents this trend was also visible; from a 18% response rate in the control phase to a 11% response rate in the intervention phase (Fig. 1). Together with an overrepresentation of highly educated Dutch women, this may potentially affect the generalisability of our study’s results. A population-effect might have occurred. Future studies should focus on follow-up research within a more heterogeneous study population. Finally, the design of our study could have hindered us to evaluate the total coverage of the intervention. Since it is very difficult to reach women who are actively preparing for pregnancy as they tend to keep their wish to conceive secret, we chose to measure the effect of the intervention solely among prospective parents who successfully conceived . By doing so, we missed the opportunity to measure the intervention’s effect among prospective parents who were trying to conceive, but are not yet pregnant.
The results of this study show that reaching the target population to provide PCC-information and to encourage them to change their lifestyle behaviour remains difficult. We recommend that future studies focus on reaching the target population within diverse settings using various channels since there is no one-size-fits all solution. Future studies could, therefore, expand these approaches to develop more sustainable PCC-intervention to provide better preventive care to future parents. An extensive process evaluation of our study analyzing the differences between clusters could provide insights into how social marketing strategies resonate among different target populations. To emphasize the urgency to invest in PCC-programs, future research is suggested to include a broad set of (pregnancy) outcomes and (non-medical) preconceptional risk factors to assess the potential health gain of PCC, not solely measuring lifestyle behaviour but also evaluating awareness, knowledge and successful channels to reach the target population. Learnings from this study could contribute to the development of prospective PCC-interventions as it is suggested it takes years to change public opinion regarding the proposed normality to actively prepare for pregnancy and attain healthy preconceptional lifestyle behaviours .
This study shows that a locally tailored PCC-intervention containing a social marketing strategy to encourage prospective parents to actively prepare for pregnancy has the potential to improve preconceptional lifestyle behaviours. The intervention showed some tentative positive effects on lifestyle behaviours among prospective parents, knowledge and competence among healthcare providers and reaching the target population online. However, the sample size in this study was small and health behaviour changes were marginal. Nevertheless, the results of this study contribute to the evidence regarding the barriers and facilitators for implementing PCC-interventions to optimize the health of prospective parents and future generations.
Availability of data and materials
The dataset for the current study is available from the corresponding author upon reasonable request.
Body mass index
Normalisation MeAsure Development
Statistical Package for the Social Science
Sidhu S. Surviving birth: every 11 seconds, a pregnant woman or newborn dies somewhere around the world. UNICEF; 2019. Available: https://www.unicef.org/press-releases/surviving-birth-every-11-seconds-pregnant-woman-or-newborn-dies-somewhere-around.
Zeitlin J, Mohangoo AD, Delnord M, Cuttini M. The second European Perinatal Health Report: documenting changes over 6 years in the health of mothers and babies in Europe. J Epidemiol Community Health. 2013;67(12):983–5.
Van Dijk MR, Koster MP, Rosman AN, Steegers-Theunissen RP. Opportunities of mHealth in preconception care: preferences and experiences of patients and health care providers and other involved professionals. JMIR Mhealth Uhealth. 2017;5(8):e123.
Temel S, Birnie E, Sonneveld HM, Voorham AJ, Bonsel GJ, Steegers EA, et al. Determinants of the intention of preconception care use: lessons from a multi-ethnic urban population in the Netherlands. Int J Public Health. 2013;58(2):295–304.
de Weerd S, Steegers EA. The past and present practices and continuing controversies of preconception care. Community Genet. 2002;5(1):50–60.
Maas VYF, Poels M, Lamain-de Ruiter M, Kwee A, Bekker MN, Franx A, et al. Associations between periconceptional lifestyle behaviours and adverse pregnancy outcomes. BMC Pregnancy Childbirth. 2021;21(1):492.
Nelson SM, Matthews P, Poston L. Maternal metabolism and obesity: modifiable determinants of pregnancy outcome. Hum Reprod Update. 2010;16(3):255–75.
Kapur A, Hod M. Maternal health and non-communicable disease prevention: an investment case for the post COVID-19 world and need for better health economic data. Int J Gynaecol Obstet. 2020;150(2):151–8.
Fraser A, Nelson SM, Macdonald-Wallis C, Cherry L, Butler E, Sattar N, et al. Associations of pregnancy complications with calculated cardiovascular disease risk and cardiovascular risk factors in middle age: the Avon Longitudinal Study of parents and children. Circulation. 2012;125(11):1367–80.
Jacob CM, Killeen SL, McAuliffe FM, Stephenson J, Hod M, Diaz Yamal I, et al. Prevention of noncommunicable diseases by interventions in the preconception period: a FIGO position paper for action by healthcare practitioners. Int J Gynaecol Obstet. 2020;151 Suppl 1(Suppl 1):6–15.
Vos AA, van Voorst SF, Steegers EAP, Denktaş S. Analysis of policy towards improvement of perinatal mortality in the Netherlands (2004–2011). Soc Sci Med. 2016;157:156–64.
Immink MM, Koole S, Bekker MN, Groenendaal F, Kemmeren JM, de Melker HE, et al. Background incidence rates of adverse pregnancy outcomes in the Netherlands: data of 2006–2018. Eur J Obstet Gynecol Reprod Biol. 2021;256:274–80.
College Perinatale Zorg (Perinatal Care College). Preconceptie Indicatie Lijst (preconception indication list). 2018. https://www.kennisnetgeboortezorg.nl/wp-content/uploads/2019/06/Preconceptie_Indicatie_Lijst_PIL_.pdf. Accessed 10 Dec 2019.
Bodin M, Tyden T, Kall L, Larsson M. Can reproductive life plan-based counselling increase men’s fertility awareness? Ups J Med Sci. 2018;123(4):255–63.
Shawe J, Patel D, Joy M, Howden B, Barrett G, Stephenson J. Preparation for fatherhood: a survey of men’s preconception health knowledge and behaviour in England. PLoS ONE. 2019;14(3):e0213897.
van der Zee B, de Beaufort I, Temel S, de Wert G, Denktas S, Steegers E. Preconception care: an essential preventive strategy to improve children’s and women’s health. J Public Health Policy. 2011;32(3):367–79.
Hammiche F, Laven JSE, van Mil N, de Cock M, de Vries JH, Lindemans J, et al. Tailored preconceptional dietary and lifestyle counselling in a tertiary outpatient clinic in the Netherlands. Hum Reprod. 2011;26(9):2432–41.
Williams L, Zapata LB, D’Angelo DV, Harrison L, Morrow B. Associations between preconception counseling and maternal behaviors before and during pregnancy. Matern Child Health J. 2012;16(9):1854–61.
Seshadri S, Oakeshott P, Nelson-Piercy C, Chappell LC. Prepregnancy care. BMJ. 2012;344:e3467.
Walfisch A, Koren G. Preconception counseling: rational, practice and challenges. Minerva Ginecol. 2011;63(5):411–9.
Atrash H, Jack BW, Johnson K. Preconception care: a 2008 update. Curr Opin Obstet Gynecol. 2008;20(6):581–9.
Jack BW, Atrash H, Coonrod DV, Moos MK, O’Donnell J, Johnson K. The clinical content of preconception care: an overview and preparation of this supplement. Am J Obstet Gynecol. 2008;199(6 Suppl 2):S266–79.
Delissaint D, McKyer EL. A systematic review of factors utilized in preconception health behavior research. Health Educ Behav. 2011;38(6):603–16.
Temel S, van Voorst SF, de Jong-Potjer LC, Waelput AJ, Cornel MC, de Weerd SR, et al. The Dutch national summit on preconception care: a summary of definitions, evidence and recommendations. J Community Genet. 2015;6(1):107–15.
Mazza D, Chapman A. Improving the uptake of preconception care and periconceptional folate supplementation: what do women think? BMC Public Health. 2010;10(1):786.
Frey KA, Files JA. Preconception healthcare: what women know and believe. Matern Child Health J. 2006;10(1):73–7.
Stephenson J, Patel D, Barrett G, Howden B, Copas A, Ojukwu O, et al. How do women prepare for pregnancy? Preconception experiences of women attending antenatal services and views of health professionals. PLoS ONE. 2014;9(7):e103085.
Poels M, Koster MP, Boeije HR, Franx A, van Stel HF. Why do women not use preconception care? A systematic review on barriers and facilitators. Obstet Gynecol Surv. 2016;71(10):603–12.
Hemsing N, Greaves L, Poole N. Preconception health care interventions: a scoping review. Sex Reprod Healthc. 2017;14:24–32.
Barker M, Dombrowski SU, Colbourn T, Fall CHD, Kriznik NM, Lawrence WT, et al. Intervention strategies to improve nutrition and health behaviours before conception. Lancet. 2018;391(10132):1853–64.
World Health Organization. Meeting to develop a global consensus on preconception care to reduce maternal and childhood mortality and morbidity: World Health Organization Headquarters, Geneva, 6–7 February 2012: meeting report. World Health Organization. 2013.
Poels M, van Stel HF, Franx A, Koster MPH. The effect of a local promotional campaign on preconceptional lifestyle changes and the use of preconception care. Eur J Contracept Reprod Health Care. 2018;23(1):38–44.
Maas VYF, Koster MPH, Ista E, Vanden Auweele KLH, de Bie RWA, de Smit DJ, et al. Study design of a stepped wedge cluster randomized controlled trial to evaluate the effect of a locally tailored approach for preconception care - the APROPOS-II study. BMC Public Health. 2020;20(1):235.
Maas VYF, Blanchette LMG, van Amstel W, Franx A, Poels M, Koster MPH. A social marketing strategy to promote preconception care: development of the Woke Women strategy. J Soc Mark. 2022;12(2):154–73. https://doi.org/10.1108/JSOCM-07-2021-0151.
Waar staat jouw gemeente (where does your municipality stand). Vergelijk, Verbaas, Verbeter, (Compare. Amaze. Improve.). Available form URL: https://www.waarstaatjegemeente.nl/home. Accessed on 22 Sept 2021.
Gordon R, McDermott L, Stead M, Angus K. The effectiveness of social marketing interventions for health improvement: what’s the evidence? Public Health. 2006;120(12):1133–9.
Barrett G, Smith SC, Wellings K. Conceptualisation, development, and evaluation of a measure of unplanned pregnancy. J Epidemiol Community Health. 2004;58(5):426–33.
Landkroon AP, de Weerd S, van Vliet-Lachotzki E, Steegers EA. Validation of an internet questionnaire for risk assessment in preconception care. Public Health Genomics. 2010;13(2):89–94.
Gezondheidsraad (Health Council). Bewegingsrichtlijn (Movement Directive) 2017. 2017;2017/08.
Shawe J, Delbaere I, Ekstrand M, Hegaard HK, Larsson M, Mastroiacovo P, et al. Preconception care policy, guidelines, recommendations and services across six European countries: Belgium (Flanders), Denmark, Italy, the Netherlands, Sweden and the United Kingdom. Eur J Contracept Reprod Health Care. 2015;20(2):77–87.
The Netherlands Nutrition Centre (het voedingscentrum). What can or can't I eat during pregnancy? (Wat kan ik wel en niet eten tijdens mijn zwangerschap?) URL: https://www.voedingscentrum.nl/nl/zwanger-en-kind/zwanger/wat-kan-ik-wel-en-niet-eten-tijdens-mijn-zwangerschap-.aspx . Accessed 05 Oct 2021.
CBS (central office of statistics). Opleidingsniveau. (Educational attainment). 2019. URL: https://www.cbs.nl/nl-nl/nieuws/2019/33/verschil-levensverwachting-hoog-en-laagopgeleid-groeit/opleidingsniveau. Accessed 26 May 2021.
Weir CB, Jan A. BMI classification percentile and cut off points. 2021.
Maas VYF, Poels M, de Kievit MH, Hartog AP, Franx A, Koster MPH. Planning is not equivalent to preparing, how Dutch women perceive their pregnancy planning in relation to preconceptional lifestyle behaviour change - a cross-sectional study. BMC Pregnancy Childbirth. 2022;22(1):577.
May CR, Mair FS, Dowrick CF, Finch TL. Process evaluation for complex interventions in primary care: understanding trials using the normalization process model. BMC Fam Pract. 2007;8(1):42.
Poels M, Koster MP, Franx A, van Stel HF. Healthcare providers’ views on the delivery of preconception care in a local community setting in the Netherlands. BMC Health Serv Res. 2017;17(1):92.
Hemming K, Taljaard M. Sample size calculations for stepped wedge and cluster randomised trials: a unified approach. J Clin Epidemiol. 2016;69:137–46.
Tobey LN, Koenig HF, Brown NA, Manore MM. Reaching low-income mothers to improve family fruit and vegetable intake: food hero social marketing campaign-research steps, development and testing. Nutrients. 2016;8(9):562.
Kaufman MR, Harman JJ, Smelyanskaya M, Orkis J, Ainslie R. “Love me, parents!”: impact evaluation of a national social and behavioral change communication campaign on maternal health outcomes in Tanzania. BMC Pregnancy Childbirth. 2017;17(1):305.
Lynch M, Squiers L, Lewis MA, Moultrie R, Kish-Doto J, Boudewyns V, et al. Understanding women’s preconception health goals: audience segmentation strategies for a preconception health campaign. Soc Mar Q. 2014;20(3):148–64.
Temel S, Birnie E, Sonneveld HM, Voorham AJJ, Bonsel GJ, Steegers EAP, et al. Determinants of the intention of preconception care use: lessons from a multi-ethnic urban population in the Netherlands. Int J Public Health. 2013;58(2):295–304.
Squiers L, Mitchell EW, Levis DM, Lynch M, Dolina S, Margolis M, et al. Consumers’ perceptions of preconception health. Am J Health Promot. 2013;27(3 Suppl):S10–9.
van Voorst SF, Ten Kate CA, de Jong-Potjer LC, Steegers EAP, Denktaş S. Developing social marketed individual preconception care consultations: which consumer preferences should it meet? Health Expect. 2017;20(5):1106–13.
Poels M, Koster MPH, Franx A, van Stel HF. Parental perspectives on the awareness and delivery of preconception care. BMC Pregnancy Childbirth. 2017;17(1):324.
Lewis MA, Mitchell EW, Levis DM, Isenberg K, Kish-Doto J. Couples’ notions about preconception health: implications for framing social marketing plans. Am J Health Promot. 2013;27(3 Suppl):S20–7.
McGowan L, Lennon-Caughey E, Chun C, McKinley MC, Woodside JV. Exploring preconception health beliefs amongst adults of childbearing age in the UK: a qualitative analysis. BMC Pregnancy Childbirth. 2020;20(1):41.
van der Zee B, de Beaufort ID, Steegers EAP, Denktaş S. Perceptions of preconception counselling among women planning a pregnancy: a qualitative study. Fam Pract. 2013;30(3):341–6.
Kelly MP, Barker M. Why is changing health-related behaviour so difficult? Public Health. 2016;136:109–16.
Mason E, Chandra-Mouli V, Baltag V, Christiansen C, Lassi ZS, Bhutta ZA. Preconception care: advancing from ‘important to do and can be done’ to ‘is being done and is making a difference.’ Reprod Health. 2014;11(3):S8.
Neiger BL, Thackeray R, Van Wagenen SA, Hanson CL, West JH, Barnes MD, et al. Use of social media in health promotion: purposes, key performance indicators, and evaluation metrics. Health Promot Pract. 2012;13(2):159–64.
Patten CA, Lando H, Resnicow K, Decker PA, Smith CM, Hanza MM, et al. Developing health communication messaging for a social marketing campaign to reduce tobacco use in pregnancy among Alaska Native women. J Commun Healthc. 2018;11(4):252–62.
Powell R, Rosenthal J, August EM, Frey M, Garcia L, Sidibe T, et al. Ante La Duda, Pregunta: a social marketing campaign to improve contraceptive access during a public health emergency. Health Commun. 2022;37(2):177–84.
Heyes T, Long S, Mathers N. Preconception care: practice and beliefs of primary care workers. Fam Pract. 2004;21(1):22–7.
Morgan MA, Hawks D, Zinberg S, Schulkin J. What obstetrician-gynecologists think of preconception care. Matern Child Health J. 2006;10(5 Suppl):S59-65.
van Heesch PNACM, de Weerd S, Kotey S, Steegers EAP. Dutch community midwives’ views on preconception care. Midwifery. 2006;22(2):120–4.
Lu MC. Recommendations for preconception care. Am Fam Physician. 2007;76(3):397–400.
Moos MK. Preconception care: every woman, every time. AWHONN Lifelines. 2006;10(4):332–4.
van der Windt M, van der Kleij RM, Snoek KM, Willemsen SP, Dykgraaf RHM, Laven JSE, et al. Impact of a blended periconception lifestyle care approach on lifestyle behaviors: before-and-after study. J Med Internet Res. 2020;22(9):e19378.
van Dijk MR, Koster MPH, Oostingh EC, Willemsen SP, Steegers EAP, Steegers-Theunissen RPM. A mobile app lifestyle intervention to improve healthy nutrition in women before and during early pregnancy: single-center randomized controlled trial. J Med Internet Res. 2020;22(5):e15773.
Sijpkens MK, van Voorst SF, de Jong-Potjer LC, Denktaş S, Verhoeff AP, Bertens LCM, et al. The effect of a preconception care outreach strategy: the healthy pregnancy 4 all study. BMC Health Serv Res. 2019;19(1):60.
de Walle HEK, de Jong-van den Berg LTW. Ten years after the Dutch public health campaign on folic acid: the continuing challenge. Eur J Clin Pharmacol. 2008;64(5):539–43.
We would like to thank all prospective parents and healthcare providers who participated in this study and marketing agency Miesiyu for developing the Woke Women® campaign. Our appreciation goes out to all local ambassadors for their contribution to the Woke Women® campaign and to the midwifery practices (Verloskundigen Barneveld, Verloskundigenpraktijk Baren & Zo, Verloskundigenpraktijk Anno Deventer, Verloskundigenpraktijk de Kuip, Verloskundig centrum Partera, Embé Verloskundigen, Verloskundigenpraktijk Kéita and Verloskundigenpraktijk de Kei) for their contribution to the data collection.
This work was supported by the Netherlands Organization for Health Research and Development (ZonMw) under grant number 50–54300-98–230. The funder had no role in the design and interpretation of the study.
Ethics approval and consent to participate
This study has been approved by the Medical Ethical Review Board (MEC-2019–0278) of the Erasmus MC, University Medical Centre Rotterdam and all respondents provided informed consent. All methods were performed in accordance with the relevant guidelines and regulations confirm the Declaration of Helsinki.
Consent for publication
All authors declare that they have no competing interests.
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Additional file 1: Supplemental File 1.
Questionnaire for women. Supplemental File 2. Questionnaire for men. Supplemental File 3. Questionnaire for healthcare providers.
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Maas, V.Y.F., Poels, M., Ista, E. et al. The effect of a locally tailored intervention on the uptake of preconception care in the Netherlands: a stepped-wedge cluster randomized trial (APROPOS-II study). BMC Public Health 22, 1997 (2022). https://doi.org/10.1186/s12889-022-14343-x
- Preconception care
- Social marketing
- Lifestyle Behaviour
- Health promotion