Protocol
Abstract
Background: Migrant health, including reproductive health, is an important public health priority. The postpartum period is a critical window for establishing healthy behaviors that can impact long-term health. Mobile health interventions offer a scalable solution, but existing tools are often not culturally or linguistically adapted for diverse populations. To the best of our knowledge, no previous study has evaluated the effectiveness of a culturally targeted mobile health intervention delivered after childbirth to promote a healthy diet and physical activity among migrant women.
Objective: The PRIMI (Promoting Reproductive Health in Migrant Women) trial will determine the effectiveness of a smartphone app (the PRIMI app) on primary (diet quality and moderate-to-vigorous physical activity) and secondary (health literacy, BMI, self-efficacy, and self-rated health) outcomes in first-generation migrant women after childbirth.
Methods: A 2-arm randomized controlled trial will be conducted to examine the effectiveness of the PRIMI app. First-generation migrant women who have given birth within 6 months, are aged 18 years or older, and prefer to receive health-related information in any of the provided languages are eligible to participate in the study and will be recruited through health care services in Sweden. The women will be randomized to the control group (standard care, eg, parental guidance and support within child health care) or the intervention group (PRIMI app+standard care) in a 1:1 ratio. A total of 200 women (100 per group) will be included in the study. A waitlist control strategy will be applied so that women in the control group will receive the PRIMI app after the follow-up measurement at 6 months. Outcomes will be assessed at baseline and at the 6-month follow-up. The PRIMI app, developed within the PRIMI project, is compatible with both Android and iOS. It contains weekly changing themes focusing on physical activity, diet, and health literacy throughout the 6-month intervention period. The app integrates behavior change techniques such as feedback and monitoring, goal setting, and instructions on how to perform the behavior. The app’s language can be switched among 4 common languages (Arabic, Somali, English, and Swedish), and all textual content can be accessed through audio files for listening. All procedures have been approved by the Swedish Ethical Review Authority (reference 2022-06733-01 and 2024-00135-02).
Results: Recruitment of study participants is planned to begin in September 2025. We anticipate completing recruitment in 2026 and that the results of the PRIMI trial will be available in 2027.
Conclusions: This study will provide novel evidence on the effectiveness of the PRIMI app in promoting healthy behaviors and supporting postpartum health among migrant women. This is highly relevant given the lack of previous comparable studies and the urgent need for tailored postpartum interventions for migrant populations.
Trial Registration: ClinicalTrials.gov NCT06881277; https://clinicaltrials.gov/study/NCT06881277
International Registered Report Identifier (IRRID): PRR1-10.2196/79277
doi:10.2196/79277
Keywords
Introduction
Background
International migrants are a growing population in many European countries, including Sweden. Currently, more than 25% of women giving birth in Sweden and more than 20% of women giving birth in Europe are first-generation migrant women []. Research suggests that migrant women may face higher risks of adverse health outcomes during and after pregnancy, although the extent of these inequalities may differ according to specific maternal birth regions and health outcomes [-]. Therefore, improving migrant health, including reproductive health, is an important public health priority [,].
The period after childbirth has been identified as a critical window to promote healthy diet, physical activity, and body weight as excessive postpartum weight retention may have long-lasting effects on later obesity, cardiovascular health, and the outcomes of subsequent pregnancies [-]. However, there is a lack of lifestyle interventions after childbirth that target migrant women [,,]. Mobile health (mHealth) interventions have gained a lot of interest as a practical way to deliver lifestyle support, guidance, and individually tailored targets to improve diet quality, physical activity, and BMI [,]. However, while such mHealth interventions may provide accessible support regardless of migrant and socioeconomic status [], concerns have been raised that mobile phone apps are not sufficiently tailored for culturally and linguistically diverse women []. This is despite the fact that adequate adaptation of language system and cultural values may increase user engagement and intervention effectiveness through mechanisms such as self-efficacy and health literacy []. Specifically, we are unaware of any lifestyle app provided by health professionals to women in Sweden after childbirth or of any scientifically evaluated app tailored to migrant women after childbirth worldwide that targets diet and physical activity. Thus, there is a great need for randomized controlled trials that examine the effectiveness of mHealth interventions to promote healthy diet and physical activity after childbirth in migrant women. This project, the PRIMI (Promoting Reproductive Health in Migrant Women) project, builds on our previous mHealth interventions targeting other populations (eg, pregnant women and adolescents) [-] to provide evidence on the effectiveness of a smartphone app on health behaviors after childbirth in migrant women.
Objectives
The aim of this study protocol is to describe the study design and methods of the PRIMI trial. The trial has been registered on ClinicalTrials.gov (NCT06881277). The PRIMI trial will evaluate the effectiveness of a smartphone app (the PRIMI app) in addition to standard care as compared to standard care alone. The outcomes are (1) diet quality (primary outcome), (2) moderate-to-vigorous physical activity (primary outcome), (3) health literacy (secondary outcome), (4) BMI (secondary outcome), (5) self-efficacy (secondary outcome), and (6) self-rated health (secondary outcome) in first-generation migrant women after childbirth. We hypothesize that migrant women who are provided access to the PRIMI app will report better diet quality and more moderate-to-vigorous physical activity compared to those without access to the app.
Methods
The PRIMI App
Context
In Sweden, approximately 25% of women who give birth were born in another country []. Apart from Sweden, common maternal birth regions include North Africa and the Middle East (eg, Iraq, Syria, and Iran), sub-Saharan Africa (eg, Somalia, Eritrea, and Ethiopia), and Europe (eg, Poland and Ukraine) [,,]. Although no official statistics are collected on the languages spoken in Sweden, Arabic, Somali, and English are among the most common languages spoken by first-generation migrant women in Sweden. In addition, nearly 90% of all foreign-born women in Sweden have access to a mobile phone [].
Development of the App
The PRIMI app is a fully automatic, culturally targeted, and comprehensive 6-month smartphone intervention aimed at improving diet quality, physical activity, and health literacy in migrant women. Screenshots of the PRIMI app are shown in . Users can switch the app’s language among 4 options: Arabic, Somali, English, and Swedish. We included Swedish for women who prefer or have acquired sufficient Swedish language skills to use the app. All textual content can be read aloud through audio files. The PRIMI app is compatible with both Android and iOS and is available on the Google Play Store and Apple App Store for individuals with a study-specific user code.

A technical platform built specifically for the PRIMI app was used for its development, which took place in collaboration between the research team and the staff at the Digitalisation Division at Linköping University from 2024 to 2025. All decisions about the specific content and features of the PRIMI app were made by a multidisciplinary and multicultural team with expertise in nutrition, physical activity, behavioral medicine, and health literacy.
While our previous work [] served as a model for the app’s overall structure, the target group was consulted before designing the app’s visual and textual content. Thus, individual interviews conducted with health professionals from maternity care and child health care centers, as well as migrant Arabic- and Somali-speaking mothers, informed decisions about the app’s content. For example, content was incorporated to address psychological well-being, including information on support groups within child health centers, as the qualitative data were related to loneliness and psychological distress after childbirth. In addition, the content was designed to align with the target group’s preference for relatable images and evidence.
The technical platform enabled the research team to continuously edit all content, including translations of texts and audio files into all targeted languages (Arabic, Somali, English, and Swedish). The development was an iterative process involving pilot-testing by collaborators with experience from the Refugee and Migrant Medicine Center in the Region of Östergötland, maternity care, and other health care settings. This was to improve usability and ensure that the app was relevant for the target group rather than for scientific purposes. Quality assurance was further conducted by Arabic- and Somali-speaking research team members.
Evidence-based recommendations from previous research [,-] and key constructs from social cognitive theory [] informed the app’s logic model (), meaning that self-efficacy, outcome expectations, goals, and perceived facilitators were addressed through behavior change techniques embedded in the PRIMI app.

Content and Features
provides an overview of the theoretical foundation and core features of the PRIMI app. As in our previous work [], the app was built around themes that change each week during the 6-month intervention period. A total of 10 themes focus on diet and physical activity, and 5 themes address health literacy. All themes targeting diet and physical activity contain advice based on current guidelines [] to address subjects such as food and health, energy and nutritional needs during breastfeeding, effects of physical activity, and how the body changes after childbirth. The health literacy themes covered topics such as how health care functions in Sweden, how to find trustworthy sources of health information, and patients’ rights in Swedish health care. The selection of topics was based on evidence suggesting that improved general health literacy can empower individuals to make informed health-related decisions [], aligning with the issues discussed by women and professionals in the qualitative interviews. The vast majority of the themes include pictures or videos to enhance the information.
| Theoretical construct | PRIMI contenta |
| Knowledge | Information is provided through weekly themes and a library |
| Self-efficacy | A feature for weekly registrations and feedback on behaviors (diet and physical activity), including a progress overview, and weekly cues for self-encouragement |
| Outcome expectations | Prompts are embedded to encourage reflection on the potential consequences of behavior change |
| Goals | Instructions on how to set specific, measurable, achievable, relevant, and time-bound goals; a goal-setting feature for PRIMI exercises; and weekly visual feedback on the achievement of goals |
| Facilitators | Information on how to establish new habits (eg, microhabits), weekly push notifications, recipes for healthy dishes, and (video) guidance on workout programs and healthy choices at the grocery store |
aThe behavior change techniques applied were based on the Behavior Change Technique Taxonomy version 1 []: information about health, social, environmental, and emotional consequences of behaviors; feedback and monitoring; identification of the self as a role model; verbal persuasion about capability; focus on past success; pros and cons; goal setting (behavior); action planning; discrepancy between current behavior and goal; behavior substitution; habit formation; prompts and cues; and instructions on how to perform the behavior.
The app also has features such as goal setting, registration with feedback for diet and physical activity, prompts for positive self-talk (eg, encourage users to recognize their efforts), healthy food recipes, supermarket tours, and video-recorded workout programs. Goals refer to the number of workout programs that users want to complete in a week (ie, 1-5), and they can be easily changed by users. The registration with feedback feature includes a prompt to complete a 6-item weekly questionnaire that addresses dietary and physical activity behaviors. When completed, users access feedback that summarizes their responses in terms of diet score and total activity minutes, graphically illustrated with bars and text using a “traffic light” approach (green=reached the recommendation, yellow=almost reached the recommendation, and red=far from reaching the recommendation) as provided by the National Board of Health and Welfare in Sweden []. Thus, a green light for physical activity indicates that users have reported at least 150 minutes of moderate-to-vigorous physical activity for that week, whereas a green light for the diet score represents at least 75% of the maximum score based on users’ weekly consumption of fruit and vegetables, fish and seafood, and sweets and sugary drinks.
The PRIMI app additionally contains healthy recipes developed by the Swedish Food Agency (Keyhole-labeled recipes) [], as well as international healthy dishes developed by the registered dietitians in the PRIMI group. In addition, videos aiming to facilitate health awareness during grocery shopping are provided on the app. The physical activity module contains video-recorded workout programs at 3 levels (basic, intermediate, and advanced) with a Tabata-style interval format.
All content is free and available for all users, who can choose to engage with the app as preferred. Intended use will be defined as at least one engagement session per week where users complete the weekly registration, receive feedback on their health behaviors, and access the weekly theme. Users who accept push notifications will receive reminders 2 to 3 times per week depending on their preferences.
Study Design
The PRIMI trial is a 6-month 2-arm randomized controlled superiority trial (1:1 ratio) examining the effectiveness of an mHealth intervention (the PRIMI app) after childbirth on diet quality, and moderate-to-vigorous physical activity (primary outcome) as well as health literacy, BMI, self-efficacy, and self-rated health (secondary outcome) among first-generation migrant women compared with a waitlist control condition (). Stakeholders, including migrant women and health professionals, were engaged during the development of the PRIMI app.

The intervention group will receive standard care plus the PRIMI app for 6 months, whereas the participants in the control group will receive standard care but will be offered the PRIMI app after the 6-month follow-up (waitlist control strategy). Standard antenatal care in Sweden is free of charge for both Swedish-born and migrant women. It typically includes 8 to 9 routine visits during pregnancy and 1 to 2 postpartum visits. After childbirth, care is transferred to child health services, which monitor the development of the child and provide support to the family. This study protocol follows the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2025 statement [] (), and the PRIMI trial will be reported according to the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) checklist []. presents the outline of the PRIMI trial. Study outcomes will be measured at baseline and at the follow-up 6 months after randomization.

Eligibility and Recruitment
Eligible women will be recruited through health care (eg, maternal and child health care) throughout Sweden. Inclusion criteria are first-generation migrant women who have given birth ≤6 months before, aged ≥18 years, and who would prefer to receive health-related information in any of the provided languages (ie, Arabic, Somali, English, and Swedish). No exclusion criteria will be applied.
Health care professionals will briefly inform eligible women about the trial. Women who express interest will receive additional information, including contact details for the research team. Informed consent will be obtained by health care professionals during subsequent visits or via the women returning signed consent forms. Inclusion criteria will be formally assessed based on information provided in the baseline questionnaire, which will be delivered digitally to participants via their mobile phones after they have given informed consent.
Recruitment will begin in September 2025, at 3 sites across the regions of Sweden, with each site involving 5 to 10 units. Health professionals (eg, nurses) at each unit will be introduced to the study and its procedures through in-person visits by research team members, who will provide ongoing support throughout the recruitment period. We will continue recruitment until the required number of participants has been reached. However, if recruitment is slow, we will consider additional sites and avenues other than health care channels, such as nongovernmental organizations, associations, and social media.
Randomization and Blinding
Women will be randomly allocated to the intervention or control group after completion of the baseline measurements in a 1:1 ratio (with random block sizes of 2 and 4 to avoid revealing the allocation sequence). The blockrand package in the R software (version 4.5; R Foundation for Statistical Computing) will be used for the computerized random number generator. Randomization will be conducted by a statistician not part of the research team, who will remain separate from the research team members responsible for informing participants of their allocation via phone to conceal the allocation sequence. Participants and outcome assessors will not be blinded to the allocation, but the project statistician and analysts will be blinded to group allocation until completion of the analysis. Although the participants and outcome assessors are not blinded to group allocation, steps have been taken to reduce the risk of performance and detection bias. Thus, the self-reported outcomes will be collected using standardized electronic questionnaires in the preferred languages of the study participants, reducing assessor influence. When necessary, telephone-based data collection will follow a standardized script to ensure consistency across measurements.
Control Group
Participants allocated to the waitlist control condition will receive standard care. For example, this includes regular visits to a nurse within child health care focusing on child development, vaccinations, parental guidance, and support []. Control group participants will be provided access to the PRIMI app upon completing the 6-month follow-up. The choice of comparator was based on the fact that no apps targeting health behaviors after childbirth are currently implemented in routine care in Sweden, as well as the lack of a suitable counterpart (ie, a similar evidence-based app) that could serve as an active control condition [].
Intervention Group
Women assigned to the intervention group will receive the PRIMI app in addition to standard care. After randomization, intervention group participants will be contacted via phone by a research team member who speaks Arabic, Somali, English, or Swedish based on the participant’s preference to guide them through the installation of the PRIMI app.
Primary Outcomes
Diet Quality
Dietary intake will be assessed using a modified version of the National Board of Health and Welfare’s survey of health behaviors that has been previously translated and used for Arabic-, Somali-, and English-speaking women and men []. We will create a composite dietary quality score using four key dietary indicators based on self-reported data collected through questions addressing intake of (1) vegetables, (2) fruits and berries, (3) sweet beverages, and (4) sweet and savory snacks (). The composite score will be calculated using the normalized sum of z scores for the 4 dietary indicators, with the scores for intake of sweet beverages and sweet and savory snacks inverted to reflect their negative health effects. Thus, a higher score will indicate better diet quality. A dietary score was assumed to better reflect participants’ overall dietary habits rather than individual dietary components.
Moderate-to-Vigorous Physical Activity
Women will report physical activity using a modified version of the physical activity questions in the National Board of Health and Welfare’s survey () of health behaviors, which we have previously translated into Arabic, Somali, and English []. The survey asks about time spent in moderate and vigorous physical activity separately, and we will combine these data to derive moderate-to-vigorous physical activity as national recommendations on physical activity consider moderate and intense activity combined.
Secondary Outcomes
Health Literacy
Participants will report on their health literacy using the 16-item version of the Health Literacy Survey Questionnaire [,], which examines the ability to access, understand, appraise, and apply health information. Participants’ electronic health literacy (ie, ability to access, understand, appraise, and apply electronic health information) will be measured using the eHealth Literacy Scale [].
BMI Measurement
Women will report their weight and height, and BMI will be calculated as weight (kg) divided by height squared (m2) and will be used as a continuous measure in the analyses. We will also classify BMI as underweight (<18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obesity (≥30.0 kg/m2).
Self-Efficacy
A single-item question will be used to measure self-efficacy for following a healthy diet and physical activity. Using an 11-point Likert scale from 0 (“not at all”) to 10 (“very much”), participants will be asked how confident they are in following a healthy diet and being regularly physically active given that they want to do that.
Self-Rated Health
Self-rated health will be assessed using the EQ-5D visual analogue scale [], where participants rate their overall health on a scale from 0 (“worst imaginable health”) to 100 (“best imaginable health”).
Additional Individual Components of Diet and Physical Activity Outcomes
In addition to the composite diet quality score (primary outcome), we will examine the effectiveness of the PRIMI app on the 4 key diet indicators individually as secondary outcomes (ie, intake of vegetables, fruits and berries, sweet beverages, and sweet and savory snacks). Furthermore, beyond analyzing the effects on moderate-to-vigorous physical activity (primary outcome), we will also assess vigorous and moderate physical activity separately as secondary outcomes. All behavioral measures are presented in .
Process Evaluation
User experience data will be collected at the 6-month follow-up by asking intervention group participants about their experiences of the PRIMI app. We will also conduct a process evaluation based on qualitative data collected through interviews with a subsample of women to obtain richer data and a deeper understanding of how the mHealth intervention was perceived and appreciated by the women [-].
Furthermore, automatically collected use data will be used to investigate how the app was used by participants, including the number of sessions, the number of registrations, and the time spent on the app.
Demographic Variables
Women will report demographic and descriptive variables such as age, educational attainment, birth country, parity, time since childbirth, and adverse pregnancy outcomes during their last pregnancy.
Statistical Analysis and Power Considerations
Intervention effects will be analyzed according to the intention-to-treat principle using mixed linear regression models (with a random level for the individual) examining the effect of the group allocation (intervention vs control) on the primary and secondary outcomes. Data analyses will be conducted with available data as well as with missing data imputed using multiple imputations []. The primary analysis is the intervention effect on diet quality and moderate-to-vigorous physical activity at the 6-month follow-up adjusted for baseline values as we have done previously [,,] as this procedure has the advantage of being robust to imbalances at baseline and regression toward the mean []. Furthermore, all models will be adjusted for age and time since childbirth. We will also consider adjusting for educational attainment and birth region provided that the sample size and distribution of these variables allow for meaningful adjustment (ie, empirical positivity).
We will also conduct a secondary per-protocol analysis including women who have used the PRIMI app (ie, engaged in at least one session) during at least 5 of the 26 intervention weeks. We will also examine whether certain variables moderate (eg, age, parity, educational attainment, birth region, self-efficacy, and health literacy) or mediate (eg, self-efficacy and health literacy) the effect of the PRIMI app on the outcomes.
A total of 100 women (50 per group) will provide at least 80% power (α=.05) to detect a minimally clinically relevant effect size of a 0.35-SD difference in the primary and secondary outcomes; we simulated trials with different sample sizes and parameter variance (k=100 simulations per specification) to find a suitable level whereby there was at least 80% power to detect the relevant effect []. It may be argued that smaller effect sizes than this may have limited clinical value, and thus, we consider the sample size sufficient. We aim to recruit 200 women (100 per group) to account for a potential dropout rate of up to 50%. However, we may consider recruiting fewer participants if the actual dropout rate is lower. To prevent dropout, participants will receive a mobile phone SMS text message reminding them about the 6-month follow-up questionnaire a few days before the questionnaire link is sent. Participants who have not completed the questionnaire within a few days will be contacted via phone to be assisted in completing it.
Ethical Considerations
We are not aware of any potential harms related to the PRIMI app. The intervention is designed to promote a healthy diet and physical activity in line with current guidelines and is based on our previous work [,]. Furthermore, as we hypothesize that the PRIMI app will have health benefits, it may pose an ethical dilemma not to provide the app to the control group as well. To address this, we will apply a waitlist control group strategy, and women in the control group will be offered the intervention after the trial has ended. This is considered an ethically reasonable choice of comparator. In summary, we believe that the PRIMI project is ethically motivated as there are potential health benefits and no known harms involved. Nevertheless, it is possible that the app may be perceived as stressful among some participants. Such information will be gathered through the process evaluation of user experience data.
Before giving informed consent, all participants will receive both oral and written information about the purpose of the study, its procedures, the voluntary nature of participation, and their right to withdraw from the study at any time without consequences or the need to provide a reason. All data will be anonymized before analysis and securely stored on encrypted servers for at least 10 years in accordance with Swedish legislation, accessible only to research team members involved in the analysis to protect privacy and confidentiality. No compensation will be provided for participation in the study. The PRIMI trial has received ethics approval from the Swedish Ethical Review Authority (reference 2022-06733-01 and 2024-00135-02) and is being conducted in accordance with the Declaration of Helsinki. Any deviations from what is described in this study protocol will be reported on ClinicalTrials.gov and in the manuscript reporting the results of the trial.
Results
Enrollment of study participants is planned to begin in September 2025. We anticipate that the study recruitment will be finalized in 2026 and that the results of the PRIMI trial will be available in 2027. Trial results will be communicated to participating health care units through in-person presentations and written reports. The results will be additionally disseminated through scientific publications, as well as through academic and clinical national and international conferences.
Discussion
Expected Findings
The PRIMI trial will examine whether a novel smartphone app (the PRIMI app) can improve diet quality, moderate-to-vigorous physical activity, health literacy, BMI, self-efficacy, and self-rated health in migrant women after childbirth. The PRIMI trial has several strengths, including the randomized controlled trial design and the broad inclusion criteria, which will increase the generalizability of the findings. Furthermore, the development of the PRIMI app incorporated behavior change theory [] and empirical evidence [,,] and was informed by the target population as well as practical experience from implementers (ie, health care professionals) [] to foster acceptability and enhance the potential for positive outcomes. In addition, the various types of data collected on participants’ use and experience of the PRIMI app allow for comprehensive investigations into how and why the app may or may not be effective.
However, the conceptualization of migrant women is not straightforward as there is great heterogeneity among groups of people who may share a language but not a culture. Therefore, using language as a proxy for culture may limit the ability to address issues such as values shared within a culture. This is a limitation as the main purpose of targeting is to make messages more effective by incorporating inclusive elements []. Nevertheless, focusing on first-generation migrant women without applying major exclusion criteria makes the app available to more women and increases generalizability.
The PRIMI trial has several other limitations that should also be considered. First, the primary outcome measures will be self-reported by the study participants. Although the questions are based on established screening questions from the National Board of Health and Welfare and we have used them in the target group previously [], they may be subject to recall and social desirability bias. Nevertheless, the use of the categorical answer mode has demonstrated greater validity than open-ended answers []. Furthermore, although participants in both the intervention and control groups will self-report outcome measures, there is a risk of detection bias as participants who do not complete the follow-up questionnaire will be contacted by the research staff, potentially revealing their group allocation. While we believe that this procedure outweighs the limitations of a higher attrition rate, we will carefully register cases in which follow-up data were collected via phone. Respondent burden was additionally considered when developing the questionnaires. Finally, the intervention period and follow-up of 6 months may be insufficient to detect long-lasting effects on health behaviors, although many mHealth interventions have had shorter intervention periods [].
The PRIMI trial will provide novel evidence on whether an mHealth app can promote a healthy lifestyle after childbirth among migrant women. This is highly relevant given the scarcity of comparable studies on similar evidence-based mHealth interventions and the critical importance of the period after childbirth for establishing long-term health behaviors. According to a scoping review on interventions designed for pregnant women or mothers of young children to address risk factors for preventable noncommunicable diseases through health literacy, few interventions used technologies for delivery []. In fact, none of the included interventions (N=25) that used a mobile phone app for delivery (n=2) targeted women after pregnancy; they focused exclusively on women during pregnancy [,]. Furthermore, this review emphasized that interventions specifically targeting vulnerable populations, including mothers from culturally and linguistically diverse backgrounds, are highly needed [].
Conclusions
If the PRIMI app proves effective, it holds potential for large-scale implementation as an evidence-based intervention program at the national level. This is particularly promising given the widespread access to smartphones regardless of socioeconomic background or migrant status.
Acknowledgments
The authors would like to express their gratitude to all the involved staff at the Digitalisation Division (Josefine Swahn, Marcus Liw, Thibault Durand, Lennart Johansson, and Anna Fredin) at Linköping University and to Emira Bajric and Malin Creutz at the Refugee and Migrant Medicine Center, Region of Östergötland, Sweden, as well as the staff at Forum Östergötland, who handled all technical aspects of the digital questionnaire and randomization. The PRIMI (Promoting Reproductive Health in Migrant Women) trial was funded by the Swedish Research Council (2021-00915 to PH) and additionally supported by the Medical Research Council of Southeast Sweden (FORSS-1011601 to PH). The funders of this study had no role in the study design, data collection, data analysis, data interpretation, or writing of the report.
Data Availability
Data sharing is not applicable to this paper as no datasets were generated or analyzed during this study.
Authors' Contributions
PH acquired funding and is the principal investigator for the PRIMI (Promoting Reproductive Health in Migrant Women) trial. PH, VHA, UM, JW, DB, MS, and MJL contributed to the study design. AS, PH, and MS led the development of the app, with substantial contributions to both the overall content and specific areas by MR (physical activity); MS and HH (diet); MJL and JW (health literacy); and BA-S, ASA, MS, and MJL (cultural adaptation). All coauthors provided valuable input that significantly refined the app, and all authors participated in design decisions. PH and VHA designed the statistical analysis plan. AS, MS, MJL, PH, TG, and ASA were involved in establishing contact with health care units for recruitment. Data collection is planned to be conducted by BA-S, ASA, MS, MJL, and AS. AS and PH wrote the first draft of the study protocol, which was reviewed and approved by all authors.
Conflicts of Interest
None declared.
SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) checklist.
DOCX File , 35 KBPrimary outcome measures.
DOCX File , 23 KBReferences
- Statistics explained. Eurostat. URL: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Fertility_statistics#Data_sources [accessed 2025-04-14]
- Abubakar I, Aldridge RW, Devakumar D, Orcutt M, Burns R, Barreto ML, et al. The UCL-Lancet Commission on Migration and Health: the health of a world on the move. Lancet. Dec 15, 2018;392(10164):2606-2654. [FREE Full text] [CrossRef] [Medline]
- Eslier M, Azria E, Chatzistergiou K, Stewart Z, Dechartres A, Deneux-Tharaux C. Association between migration and severe maternal outcomes in high-income countries: systematic review and meta-analysis. PLoS Med. Jun 2023;20(6):e1004257. [FREE Full text] [CrossRef] [Medline]
- Behboudi-Gandevani S, Bidhendi-Yarandi R, Panahi MH, Mardani A, Paal P, Prinds C, et al. Adverse pregnancy outcomes and international immigration status: a systematic review and meta-analysis. Ann Glob Health. 2022;88(1):44. [FREE Full text] [CrossRef] [Medline]
- Shirvanifar M, Ahlqvist VH, Lundberg M, Kosidou K, Herraiz-Adillo Á, Berglind D, et al. Adverse pregnancy outcomes attributable to overweight and obesity across maternal birth regions: a Swedish population-based cohort study. Lancet Public Health. Oct 2024;9(10):e776-e786. [FREE Full text] [CrossRef] [Medline]
- Orcutt M, Spiegel P, Kumar B, Abubakar I, Clark J, Horton R. Lancet Migration: global collaboration to advance migration health. Lancet. Feb 01, 2020;395(10221):317-319. [CrossRef] [Medline]
- Kramer CK, Ye C, Hanley AJ, Connelly PW, Sermer M, Zinman B, et al. Postpartum weight retention and the early evolution of cardiovascular risk over the first 5 years after pregnancy. Cardiovasc Diabetol. Mar 18, 2024;23(1):101. [FREE Full text] [CrossRef] [Medline]
- Harper T, Kuohung W, Sayres L, Willis MD, Wise LA. Optimizing preconception care and interventions for improved population health. Fertil Steril. Sep 2023;120(3 Pt 1):438-448. [FREE Full text] [CrossRef] [Medline]
- Teulings NE, Masconi KL, Ozanne SE, Aiken CE, Wood AM. Effect of interpregnancy weight change on perinatal outcomes: systematic review and meta-analysis. BMC Pregnancy Childbirth. Oct 28, 2019;19(1):386. [FREE Full text] [CrossRef] [Medline]
- Martínez-Hortelano JA, González PB, Rodríguez-Rojo IC, Garrido-Miguel M, Arenas-Arroyo SN, Sequí-Domínguez I, et al. Interpregnancy weight change and neonatal and infant outcomes: a systematic review and meta-analysis. Ann Epidemiol. Sep 2024;97:1-10. [FREE Full text] [CrossRef] [Medline]
- Villamor E, Cnattingius S. Interpregnancy weight change and risk of adverse pregnancy outcomes: a population-based study. Lancet. Sep 30, 2006;368(9542):1164-1170. [CrossRef] [Medline]
- Redden K, Safarian J, Schoenborn C, Shortall C, Gagnon AJ. Interventions to support international migrant women's reproductive health in western-receiving countries: a systematic review and meta-analysis. Health Equity. 2021;5(1):356-372. [FREE Full text] [CrossRef] [Medline]
- Christiansen PK, Skjøth MM, Rothmann MJ, Vinter CA, Lamont RF, Draborg E. Lifestyle interventions to maternal weight loss after birth: a systematic review. Syst Rev. Dec 16, 2019;8(1):327. [FREE Full text] [CrossRef] [Medline]
- Sherifali D, Nerenberg KA, Wilson S, Semeniuk K, Ali MU, Redman LM, et al. The effectiveness of eHealth technologies on weight management in pregnant and postpartum women: systematic review and meta-analysis. J Med Internet Res. Oct 13, 2017;19(10):e337. [FREE Full text] [CrossRef] [Medline]
- McGovern L, O'Toole L, Houshialsadat Z, O'Reilly SL. Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: a qualitative meta-synthesis. Obes Rev. Aug 2024;25(8):e13761. [CrossRef] [Medline]
- Access to the internet by type of device, sex and study domain. Year 2021 - 2023. Statistics Sweden. URL: https://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__LE__LE0108__LE0108D/LE0108T14N2/ [accessed 2025-04-14]
- Hughson JA, Daly JO, Woodward-Kron R, Hajek J, Story D. The rise of pregnancy apps and the implications for culturally and linguistically diverse women: narrative review. JMIR Mhealth Uhealth. Nov 16, 2018;6(11):e189. [FREE Full text] [CrossRef] [Medline]
- Lapinski MK, Oetzel JG, Park S, Williamson AJ. Cultural tailoring and targeting of messages: a systematic literature review. Health Commun. May 2025;40(5):808-821. [FREE Full text] [CrossRef] [Medline]
- Seiterö A, Henriksson P, Thomas K, Henriksson H, Löf M, Bendtsen M, et al. Effectiveness of a mobile phone-delivered multiple health behavior change intervention (LIFE4YOUth) in adolescents: randomized controlled trial. J Med Internet Res. Apr 22, 2025;27:e69425. [FREE Full text] [CrossRef] [Medline]
- Henriksson P, Sandborg J, Blomberg M, Alexandrou C, Maddison R, Silfvernagel K, et al. A smartphone app to promote healthy weight gain, diet, and physical activity during pregnancy (HealthyMoms): protocol for a randomized controlled trial. JMIR Res Protoc. Mar 01, 2019;8(3):e13011. [FREE Full text] [CrossRef] [Medline]
- Sandborg J, Söderström E, Henriksson P, Bendtsen M, Henström M, Leppänen MH, et al. Effectiveness of a smartphone app to promote healthy weight gain, diet, and physical activity during pregnancy (HealthyMoms): randomized controlled trial. JMIR Mhealth Uhealth. Mar 11, 2021;9(3):e26091. [FREE Full text] [CrossRef] [Medline]
- Henriksson P, Sandborg J, Blomberg M, Nowicka P, Petersson K, Bendtsen M, et al. Body mass index and gestational weight gain in migrant women by birth regions compared with Swedish-born women: a registry linkage study of 0.5 million pregnancies. PLoS One. 2020;15(10):e0241319. [FREE Full text] [CrossRef] [Medline]
- Statistik om graviditeter, förlossningar och nyfödda barn 2023. Socialstyrelsen. 2024. URL: https://www.socialstyrelsen.se/publikationer/statistik-om-graviditeter-forlossningar-och-nyfodda-barn-2023-2024-12-9357/ [accessed 2025-09-01]
- Internet access by type of equipment, gender and accounting group. In 2021 - 2023. The Statistics Database. URL: https://www.statistikdatabasen.scb.se/pxweb/sv/ssd/START__LE__LE0108__LE0108D/LE0108T14N2/ [accessed 2025-09-01]
- Alexandrou C, Henriksson H, Henström M, Henriksson P, Delisle Nyström C, Bendtsen M, et al. Effectiveness of a smartphone app (MINISTOP 2.0) integrated in primary child health care to promote healthy diet and physical activity behaviors and prevent obesity in preschool-aged children: randomized controlled trial. Int J Behav Nutr Phys Act. Feb 21, 2023;20(1):22. [FREE Full text] [CrossRef] [Medline]
- McKinley MC, Allen-Walker V, McGirr C, Rooney C, Woodside JV. Weight loss after pregnancy: challenges and opportunities. Nutr Res Rev. Dec 2018;31(2):225-238. [CrossRef] [Medline]
- Makama M, Awoke MA, Skouteris H, Moran LJ, Lim S. Barriers and facilitators to a healthy lifestyle in postpartum women: a systematic review of qualitative and quantitative studies in postpartum women and healthcare providers. Obes Rev. Apr 2021;22(4):e13167. [CrossRef] [Medline]
- Garad R, McPhee C, Chai TL, Moran L, O'Reilly S, Lim S. The role of health literacy in postpartum weight, diet, and physical activity. J Clin Med. Aug 01, 2020;9(8):2463. [FREE Full text] [CrossRef] [Medline]
- Bandura A. Health promotion by social cognitive means. Health Educ Behav. Apr 2004;31(2):143-164. [CrossRef] [Medline]
- National guidelines: unhealthy lifestyle habits. National Board of Health and Welfare. URL: https://www.socialstyrelsen.se/kunskapsstod-och-regler/regler-och-riktlinjer/nationella-riktlinjer/riktlinjer-och-utvarderingar/levnadsvanor/ [accessed 2025-04-14]
- Walters R, Leslie SJ, Polson R, Cusack T, Gorely T. Establishing the efficacy of interventions to improve health literacy and health behaviours: a systematic review. BMC Public Health. Jun 30, 2020;20(1):1040. [FREE Full text] [CrossRef] [Medline]
- Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. Aug 2013;46(1):81-95. [FREE Full text] [CrossRef] [Medline]
- Nyckelhålsrecept. Livsmedelsverket. URL: https://www.livsmedelsverket.se/matvanor-halsa--miljo/nyckelhalet/nyckelhalsrecept [accessed 2025-04-14]
- Chan AW, Boutron I, Hopewell S, Moher D, Schulz KF, Collins GS, et al. SPIRIT 2025 statement: updated guideline for protocols of randomized trials. JAMA. Aug 05, 2025;334(5):435-443. [CrossRef] [Medline]
- Eysenbach G, CONSORT-EHEALTH Group. CONSORT-EHEALTH: improving and standardizing evaluation reports of web-based and mobile health interventions. J Med Internet Res. Dec 31, 2011;13(4):e126. [FREE Full text] [CrossRef] [Medline]
- Rikshandboken i barnhälsovård homepage. Rikshandboken i Barnhälsovård. URL: https://www.rikshandboken-bhv.se/ [accessed 2025-06-18]
- Goldberg SB, Sun S, Carlbring P, Torous J. Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology. NPJ Digit Med. Sep 30, 2023;6(1):181. [FREE Full text] [CrossRef] [Medline]
- Pelikan JM. Measuring comprehensive health literacy in general populations: validation of instrument, indices and scales of the HLS-EU study. In: Proceedings of the 6th Annual Health Literacy Research Conference. 2014. Presented at: HLRC 2014; November 3-4, 2014; Bethesda, MD. URL: https://www.bumc.bu.edu/healthliteracyconference/files/2014/06/Pelikan-et-al-HARC-2014-fin.pdf [CrossRef]
- Bergman L, Nilsson U, Dahlberg K, Jaensson M, Wångdahl J. Validity and reliability of the arabic version of the HLS-EU-Q16 and HLS-EU-Q6 questionnaires. BMC Public Health. Feb 10, 2023;23(1):304. [FREE Full text] [CrossRef] [Medline]
- Norman CD, Skinner HA. eHEALS: the eHealth Literacy Scale. J Med Internet Res. Nov 14, 2006;8(4):e27. [FREE Full text] [CrossRef] [Medline]
- Cheng LJ, Tan RL, Luo N. Measurement properties of the EQ VAS around the globe: a systematic review and meta-regression analysis. Value Health. Aug 2021;24(8):1223-1233. [FREE Full text] [CrossRef] [Medline]
- Paparini S, Green J, Papoutsi C, Murdoch J, Petticrew M, Greenhalgh T, et al. Case study research for better evaluations of complex interventions: rationale and challenges. BMC Med. Nov 10, 2020;18(1):301. [FREE Full text] [CrossRef] [Medline]
- Paparini S, Papoutsi C, Murdoch J, Green J, Petticrew M, Greenhalgh T, et al. Evaluating complex interventions in context: systematic, meta-narrative review of case study approaches. BMC Med Res Methodol. Oct 25, 2021;21(1):225. [FREE Full text] [CrossRef] [Medline]
- Richards DA, Bazeley P, Borglin G, Craig P, Emsley R, Frost J, et al. Integrating quantitative and qualitative data and findings when undertaking randomised controlled trials. BMJ Open. Nov 26, 2019;9(11):e032081. [FREE Full text] [CrossRef] [Medline]
- Davis K, Minckas N, Bond V, Clark CJ, Colbourn T, Drabble SJ, et al. Beyond interviews and focus groups: a framework for integrating innovative qualitative methods into randomised controlled trials of complex public health interventions. Trials. Jun 06, 2019;20(1):329. [FREE Full text] [CrossRef] [Medline]
- White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. Feb 20, 2011;30(4):377-399. [CrossRef] [Medline]
- Vickers AJ, Altman DG. Statistics notes: analysing controlled trials with baseline and follow up measurements. BMJ. Nov 10, 2001;323(7321):1123-1124. [FREE Full text] [CrossRef] [Medline]
- Arnold BF, Hogan DR, Colford JMJ, Hubbard AE. Simulation methods to estimate design power: an overview for applied research. BMC Med Res Methodol. Jun 20, 2011;11:94. [FREE Full text] [CrossRef] [Medline]
- Shirvanifar M, Müssener U, Lindh A, Wångdahl J, Henriksson P. An interview study exploring healthcare professionals' experiences of supporting health behaviors in migrant women after childbirth with special emphasis on mHealth. Sci Rep. May 17, 2025;15(1):17208. [FREE Full text] [CrossRef] [Medline]
- Olsson SJ, Ekblom Ö, Andersson E, Börjesson M, Kallings LV. Categorical answer modes provide superior validity to open answers when asking for level of physical activity: a cross-sectional study. Scand J Public Health. Feb 2016;44(1):70-76. [CrossRef] [Medline]
- Milne-Ives M, Lam C, De Cock C, Van Velthoven MH, Meinert E. Mobile apps for health behavior change in physical activity, diet, drug and alcohol use, and mental health: systematic review. JMIR Mhealth Uhealth. Mar 18, 2020;8(3):e17046. [FREE Full text] [CrossRef] [Medline]
- Melwani S, Cleland V, Patterson K, Nash R. A scoping review: global health literacy interventions for pregnant women and mothers with young children. Health Promot Int. Apr 29, 2022;37(2):daab047. [CrossRef] [Medline]
- Hearn L, Miller M, Fletcher A. Online healthy lifestyle support in the perinatal period: what do women want and do they use it? Aust J Prim Health. 2013;19(4):313-318. [CrossRef] [Medline]
- Tsai YJ, Hsu YY, Hou TW, Chang CH. Effects of a web-based antenatal care system on maternal stress and self-efficacy during pregnancy: a study in Taiwan. J Midwifery Womens Health. Mar 2018;63(2):205-213. [CrossRef] [Medline]
Abbreviations
| CONSORT-EHEALTH: Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth |
| mHealth: mobile health |
| PRIMI: Promoting Reproductive Health in Migrant Women |
| SPIRIT: Standard Protocol Items: Recommendations for Interventional Trials |
Edited by A Schwartz; The proposal for this study was peer reviewed by the Vetenskapsrådet (Swedish Research Council) Review Committee; submitted 25.Jun.2025; accepted 15.Sep.2025; published 17.Oct.2025.
Copyright©Anna Seiterö, Maryam Shirvanifar, Marie Jubran Leksell, Maria Rydfjord, Baydaa Al-saedi, Aisha Salah Ahmed, Tayebeh Gharakhani Bahar, Daniel Berglind, Hanna Henriksson, Viktor H Ahlqvist, Josefin Wångdahl, Ulrika Müssener, Pontus Henriksson. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 17.Oct.2025.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.

