- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07555093
A Study of Multiple Micronutrient Supplementation (MMS) to Increase Adherence With Digital Technology (SMART-MMS)
A Randomized Controlled Trial in Lombok: Assessing Factors Influencing Acceptance and Adherence to Multiple Micronutrient Supplementation (MMS) Using Digital Tools
The goal of this randomized clinical trial is to learn whether a digital health intervention can improve adherence to Multiple Micronutrient Supplementation (MMS) among pregnant women in Lombok Island. The study also aims to understand how individual characteristics, socio-economic factors, maternal health status, and antenatal care services influence adherence to MMS.
The main questions it aims to answer are:
- Does a digitally supported intervention increase adherence to MMS compared to standard care?
- Does the type of MMS packaging (bottle vs. blister) affect adherence?
- In the second stage, does adding calcium supplementation affect adherence to MMS?
Researchers will compare four groups to see if digital support and packaging type improve MMS adherence:
- Standard care with MMS in bottles
- Standard care with MMS in blister packs
- Digital intervention with MMS in bottles
- Digital intervention with MMS in blister packs
Approximately 10,012 pregnant women will be randomly assigned to one of these four groups using a 2×2 factorial design.
Participants will:
- Receive MMS through either bottle or blister packaging
- Receive either standard care or a digital health intervention (such as reminders or digital support tools)
- Attend routine antenatal care services
- Be followed throughout pregnancy, delivery, and up to 42 days after childbirth
In the second stage of the study, participants from community health posts (Posyandu) will also receive calcium supplementation in addition to MMS. Additional 900 pregnant women will be enrolled from the same Puskesmas areas participating in the MMS study to evaluate the addition of calcium supplementation. These participants will be recruited outside of the main MMS cohort and will be equally distributed across the four study arms. This stage aims to assess whether adding calcium supplementation influences adherence to MMS among pregnant women.
Participants will be monitored during pregnancy, at delivery, and during the postnatal care period up to 42 days after birth.
This study represents an early implementation of Multiple Micronutrient Supplementation (MMS) in Lombok Island, where MMS is not yet routinely available through government programs. Only selected primary healthcare centers (Puskesmas) that are randomized into the study will provide MMS to eligible participants. While the government has begun introducing MMS in other areas, it has not yet been implemented in Lombok.
The digital health intervention will only be provided to pregnant women who agree to participate in the study and provide informed consent. All participants will continue to receive standard antenatal care (ANC) services in accordance with existing government programs.
This study is also integrated with the ongoing distribution of iron and folic acid supplementation (TTD) in Lombok. Pregnant women who do not consent to participate in the study or do not receive MMS will continue to receive TTD as part of routine care outside of the study.
Study Overview
Status
Intervention / Treatment
Detailed Description
This study is a nested (two-stage) cluster-randomized controlled trial conducted in Lombok Island, designed to evaluate strategies to improve adherence to Multiple Micronutrient Supplementation (MMS) among pregnant women, as well as to assess the feasibility of integrating calcium supplementation into the MMS program within routine health systems.
The first stage of the study consists of a cluster randomized trial at the puskesmas (primary healthcare center) level. Puskesmas are randomized into four intervention arms to evaluate the effectiveness of different delivery approaches for MMS, specifically comparing combinations of digital and non-digital strategies, as well as packaging formats. The digital intervention includes mobile-based tools such as WhatsApp reminders, chatbot-assisted education, call center support, and a gamified alert system to encourage adherence. Artificial intelligence-based approaches, including adherence monitoring and prediction models, will also be explored. The non-digital group receives standard antenatal and postnatal care services, including routine health promotion and printed educational materials.
The second stage involves a cluster randomized trial at the posyandu (community health post) level within selected puskesmas. This stage evaluates the addition of calcium supplementation to MMS compared with MMS alone. Additional pregnant women will be enrolled outside the main MMS cohort and distributed across study arms. This component aims to assess the feasibility, acceptability, and operational considerations of co-administering calcium alongside MMS within the existing health system.
To support implementation across both study components, several operational and digital systems will be applied. Each supplement package will be labeled with a unique QR code to enable real-time tracking of supplement distribution and consumption through KoboToolbox. A Dynamic Worker Support (DWS) system will be implemented to assist Community Health Promoters in automated scheduling, task management, and field activity optimization.
Sample Size and Statistical Considerations
The sample size has been calculated based on the primary outcome of MMS adherence, accounting for clustering effects at both puskesmas and posyandu levels. Approximately 10,012 pregnant women will be enrolled in Stage 1 across 60 puskesmas clusters. In Stage 2, approximately 900 additional participants will be recruited to evaluate calcium co-supplementation. The sample size is designed to ensure adequate statistical power to detect meaningful differences between study groups.
A comprehensive quality assurance framework will be implemented to ensure data integrity, accuracy, and consistency across all study sites. Electronic data capture systems (KoboToolbox) will incorporate built-in validation rules, including range checks, consistency checks, and logical constraints across related variables. In addition, data validation will be strengthened through a double data entry process, whereby selected records are entered independently by two data entry personnel and discrepancies are identified and resolved through predefined verification procedures.
Routine centralized data monitoring will be conducted to assess data completeness, timeliness, and internal consistency. In addition, quality assurance (QA) activities will be implemented to assess field staff performance through direct verification. This includes periodic visits by QA staff to pregnant women to validate home visit activities conducted by field workers. QA may also be conducted through HealthComm by contacting participants to confirm services received and ensure consistency with reported data. These procedures aim to ensure adherence to study protocols, verify implementation fidelity, and maintain overall data quality.
A standardized data management system will be implemented, including a comprehensive data dictionary that defines all study variables, formats, permissible values, coding structures, and data sources. Where applicable, standardized coding approaches will be applied to ensure consistency.
All study procedures will be guided by Standard Operating Procedures (SOPs) and a detailed field manual to ensure standardized implementation across sites. The field manual provides step-by-step operational guidance for field staff, including participant recruitment, informed consent procedures, home visit protocols, supplement distribution, digital system utilization, and data collection processes.
It also outlines procedures for data management, adverse event reporting, and communication workflows between field teams and supervisors. Field staff, including Community Health Promoters, will receive structured training and ongoing supervision based on the field manual to ensure consistent, accurate, and high-quality implementation throughout the study.
Data quality checks during data collection will aim to minimize missingness. During analysis, appropriate statistical techniques, such as multiple imputation or sensitivity analyses, will be applied as specified in the statistical analysis plan.
All analyses will follow the intention-to-treat principle. Primary analyses will assess adherence to MMS across intervention arms using mixed-effects regression models to account for cluster randomization and potential confounders. The factorial design allows estimation of the independent and interaction effects of digital intervention and packaging type.
Secondary analyses will examine factors influencing adherence, maternal and neonatal outcomes, and the impact of calcium co-supplementation. Depending on the nature of the outcome variables, appropriate generalized linear (mixed-effects) models will be employed. Binary outcomes will be analyzed using mixed-effects logistic regression models, continuous outcomes using linear mixed-effects models, and count or proportion outcomes using Poisson or binomial-based models with appropriate link functions. All models will account for clustering at the study design level and adjust for relevant covariates. Subgroup and sensitivity analyses will be conducted to assess the robustness and generalizability of the findings.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Yuni Dwi Setiyawati, MHID
- Phone Number: +6285337006810
- Email: yuni.setiyawati@sid-indonesia.org
Study Locations
-
-
West Nusa Tenggara
-
Mataram, West Nusa Tenggara, Indonesia, 83239
- Summit Institute for Development
-
Contact:
- Yuni Dwi Setiyawati, MHID
- Phone Number: +6285337006810
- Email: yuni.setiyawati@sid-indonesia.org
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Pregnant women up to 32 weeks
- Pregnant women stay in the site at least during the study period
Exclusion Criteria:
- Lost to follow up
- Moving to another area
- Death
- Abortus
- Stillbirth
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Digital Care with Blister
Participant will get All Standard Care components, MMS provided in blister packaging, daily automated and personalized WhatsApp reminders, WhatsApp, MMS Consumption reminder, Call center, Personalized education via chatbot and consultations, Gamification and alert system, AI monitoring and prediction
|
Blister packaging of MMS
In addition to standard care, participants get intervention such as: Daily automated and personalized WhatsApp reminders, Whatsapp MMS consumption reminder, call center, personalized education via chatbot and consultations, gamification and alert system, AI monitoring and prediction
|
|
Active Comparator: Standard Care with Bottle
Participant will receive standard ANC and PNC services, regular health promotion and printed material, MMS provided in bottle packaging, and no digital adherence support is provided.
|
Bottle packaging of MMS
Standard ANC and PNC services, regular health promotion and printed material
|
|
Active Comparator: Standard Care with Blister
Participant will receive standard ANC and PNC services, regular health promotion and printed material, MMS provided in blister packaging, no digital adherence support is provided.
|
Blister packaging of MMS
Standard ANC and PNC services, regular health promotion and printed material
|
|
Experimental: Digital Care with Bottle
Participant will get all standard care components, MMS provided in bottle form, daily automated am personalized WhatsApp reminders, WhatsApp MMS consumption reminder, call center, personalized education via chatbot and consultations, gamification and alert system, AI monitoring and prediction
|
In addition to standard care, participants get intervention such as: Daily automated and personalized WhatsApp reminders, Whatsapp MMS consumption reminder, call center, personalized education via chatbot and consultations, gamification and alert system, AI monitoring and prediction
Bottle packaging of MMS
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
MMS consumption Adherence
Time Frame: Since enrolment until delivery (up to approximately 280 days of gestation), with monthly assessments
|
Adherence is defined as the proportion of recommended daily MMS doses consumed over the total number of follow-up days, measured from enrolment until delivery (up to approximately 280 days of gestation).
Adherence will be assessed using digital tracking data (QR code scans), self-reports, and/or supplement counts.
Data will be collected monthly, and the final adherence value will be calculated as the mean of monthly adherence measurements per participant.
Comparisons will be conducted across four study arms: (1) digital care with blister packaging, (2) standard care with bottle packaging, (3) standard care with blister packaging, and (4) digital care with bottle packaging.
|
Since enrolment until delivery (up to approximately 280 days of gestation), with monthly assessments
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Gestational Age at Birth
Time Frame: Birth
|
Gestational age (GA) will be calculated in completed weeks based on first-trimester ultrasound where available (preferred), or last menstrual period if ultrasound is unavailable.
Mean GA at delivery will be reported.
|
Birth
|
|
Proportion of Preterm Birth
Time Frame: Birth
|
Proportion of live births occurring at <37 completed weeks of gestation.
|
Birth
|
|
Proportion of Very and Extremely Preterm Birth
Time Frame: Birth
|
Proportion of pregnancies delivered before these gestational age: at <34 weeks, <32 weeks, and <28
|
Birth
|
|
Proportion of Post-term Birth
Time Frame: Birth
|
Proportion of live births occurring at >42 completed weeks of gestation.
|
Birth
|
|
Proportion of Stillbirth
Time Frame: Birth
|
Proportion of pregnancies resulting in fetal death ≥28 weeks of gestation occurring before or during labor and before complete expulsion or extraction.
|
Birth
|
|
Perinatal Mortality
Time Frame: Within 28 weeks of gestation to 7 days of birth
|
Stillbirth (≥28 weeks gestation) or death of a liveborn infant within 7 completed days of birth.
|
Within 28 weeks of gestation to 7 days of birth
|
|
Neonatal Mortality
Time Frame: Within 28 days of birth
|
Death of a liveborn infant within 28 completed days of birth.
|
Within 28 days of birth
|
|
Early Neonatal Mortality
Time Frame: Within 7 days of birth
|
Death within 7 completed days of birth.
|
Within 7 days of birth
|
|
Late Neonatal Mortality
Time Frame: Between 7 and 28 days of birth
|
Death occurs after 7 days but within 28 days of birth.
|
Between 7 and 28 days of birth
|
|
Birth Weight
Time Frame: Within 1 hour of birth
|
Mean birth weight (grams), measured within 1 hour of birth using calibrated mechanical or digital scales.
|
Within 1 hour of birth
|
|
Proportion Low Birth Weight (LBW)
Time Frame: Within 24 hours of birth
|
Proportion of infants with birth weight <2500 g (≤2500 g if scale increments are 100 g) among live born infants.
|
Within 24 hours of birth
|
|
Small for Gestational Age (SGA, 3rd Centile)
Time Frame: Within 24 hours of birth
|
Proportion of infants with birth weight <3rd centile of INTERGROWTH-21st standards by gestational age and sex.
|
Within 24 hours of birth
|
|
Large for Gestational Age (LGA, 90th Centile)
Time Frame: Birth
|
Proportion of infants with birth weight (grams) >90th centile of INTERGROWTH-21st standards by gestational age and sex.
|
Birth
|
|
Birth Length
Time Frame: Birth
|
Mean birth length (cm).
|
Birth
|
|
Short for Gestational Age (10th Centile)
Time Frame: Birth
|
Proportion of infants with birth length (cm) <10th centile of INTERGROWTH-21st standards by gestational age and sex.
|
Birth
|
|
Short for Gestational Age (3rd Centile)
Time Frame: Birth
|
Proportion of infants with birth length (cm) <3rd centile of INTERGROWTH-21st standards by gestational age and sex.
|
Birth
|
|
Head Circumference
Time Frame: Birth
|
Mean head circumference at birth (cm).
|
Birth
|
|
Infant Sex
Time Frame: Birth
|
Proportion of male and female live births.
|
Birth
|
|
Length-for-age z-score (LAZ)
Time Frame: Within 28 days of birth
|
Mean length (cm)-for-age z-score (LAZ)
|
Within 28 days of birth
|
|
Weight-for-Length Z-score (WLZ)
Time Frame: Within 28 days of birth
|
Mean weight (gram)-for-age z-score (WAZ)
|
Within 28 days of birth
|
|
Weight-for-Age Z-score (WAZ)
Time Frame: Within 28 days of birth
|
Mean weight (gram)-for-length z-score (WLZ)
|
Within 28 days of birth
|
|
Stunting
Time Frame: Within 28 days of birth
|
Proportion of infants with Length-for-Age Z-score (LAZ) < -2 SD at 1 month.
LAZ is calculated based on the WHO Child Growth Standards for infants.
Lower scores indicate poorer linear growth, and a score below -2 SD is classified as stunting.
|
Within 28 days of birth
|
|
Wasting
Time Frame: Within 28 days of birth
|
Proportion of infants with Weight-for-Length Z-score (WLZ) < -2 SD at 6 months.
WLZ is calculated based on the WHO Child Growth Standards for infants.
Lower scores indicate acute malnutrition, and a score below -2 SD is classified as wasting.
|
Within 28 days of birth
|
|
Underweight
Time Frame: Within 28 days of birth
|
Proportion of infants with Weight-for-Age Z-score (WAZ) < -2 SD at 6 months. WAZ is calculated based on the WHO Child Growth Standards for infants. Lower scores indicate poorer weight status, and a score below -2 SD is classified as underweight. |
Within 28 days of birth
|
|
Cost effectiveness
Time Frame: Through study completion, an average of 1 year from the start of enrolment to the end of all monitoring phase
|
The total cost required for each treatment group divided by The number of pregnant women who adhere with supplementation consumption in each treatment group.
|
Through study completion, an average of 1 year from the start of enrolment to the end of all monitoring phase
|
|
Calcium adherence
Time Frame: From 20 weeks until delivery (up to approximately 280 days of gestation), with monthly assessments
|
Adherence will be defined as the proportion of recommended daily doses consumed from week 20 until delivery.
Dose consumption will be measured using digital tracking data (QR code scans), self-reports, and/or supplement counts where applicable.
The outcome will be expressed as mean adherence proportion (%) per participant.
|
From 20 weeks until delivery (up to approximately 280 days of gestation), with monthly assessments
|
Collaborators and Investigators
Publications and helpful links
General Publications
- Battung SM, Groen H, van der Beek EM. Prenatal multiple micronutrient supplementation in the Parepare district, Indonesia; population characteristics and intake adherence. BMC Public Health. 2025 Mar 12;25(1):983. doi: 10.1186/s12889-025-22129-0.
- Dwarkanath P, Muhihi A, Sudfeld CR, Wylie BJ, Wang M, Perumal N, Thomas T, Kinyogoli SM, Bakari M, Fernandez R, Raj JM, Swai NO, Buggi N, Shobha R, Sando MM, Duggan CP, Masanja HM, Kurpad AV, Pembe AB, Fawzi WW. Two Randomized Trials of Low-Dose Calcium Supplementation in Pregnancy. N Engl J Med. 2024 Jan 11;390(2):143-153. doi: 10.1056/NEJMoa2307212.
- Hofmeyr GJ, Betran AP, Singata-Madliki M, Cormick G, Munjanja SP, Fawcus S, Mose S, Hall D, Ciganda A, Seuc AH, Lawrie TA, Bergel E, Roberts JM, von Dadelszen P, Belizan JM; Calcium and Pre-eclampsia Study Group. Prepregnancy and early pregnancy calcium supplementation among women at high risk of pre-eclampsia: a multicentre, double-blind, randomised, placebo-controlled trial. Lancet. 2019 Jan 26;393(10169):330-339. doi: 10.1016/S0140-6736(18)31818-X.
- Borrelli EP, Saad P, Barnes NE, Dumitru D, Lucaci JD. Improving Adherence and Reducing Health Care Costs Through Blister-Packaging: An Economic Model for a Commercially Insured Health Plan. Clinicoecon Outcomes Res. 2024 Oct 3;16:733-745. doi: 10.2147/CEOR.S480890. eCollection 2024.
- Smith ER, Gomes F, Adu-Afarwuah S, Aguayo VM, El Arifeen S, Bhutta ZA, Caniglia EC, Christian P, Devakumar D, Dewey KG, Fawzi WW, Friis H, Gomo E, Guindo O, Hallamaa L, Isanaka S, Kaestel P, Lachat C, Maleta K, Moore SE, Oakley EM, Osrin D, Rahman A, Rana Z, Rizvi A, Roberfroid D, Shaikh S, Sonko B, Soofi SB, Subarkah I, Sunawang R, Wang D, West KP Jr, Wu LSF, Zagre N, Bourassa MW, Sudfeld CR. Contribution of Maternal Adherence to the Effect of Multiple Micronutrient Supplementation During Pregnancy: A Systematic Review and Individual Participant Data Meta-analysis. Adv Nutr. 2025 Jul;16(7):100455. doi: 10.1016/j.advnut.2025.100455. Epub 2025 May 30.
- Berti C, Gaffey MF, Bhutta ZA, Cetin I. Multiple-micronutrient supplementation: Evidence from large-scale prenatal programmes on coverage, compliance and impact. Matern Child Nutr. 2018 Dec;14 Suppl 5(Suppl 5):e12531. doi: 10.1111/mcn.12531. Epub 2017 Dec 22.
- Black J. Field trials of health interventions: a toolbox. Aust N Z J Public Health. 2017;41(4):452.
- Offorha BC, Walters SJ, Jacques RM. Analysing cluster randomised controlled trials using GLMM, GEE1, GEE2, and QIF: results from four case studies. BMC Medical Research Methodology 2023 23:1 2023;23:293-. https://doi.org/10.1186/s12874-023-02107-z.
- Billot L, Copas A, Leyrat C, Forbes A, Turner EL. How should a cluster randomized trial be analyzed? Journal of Epidemiology and Population Health 2024;72:202196. https://doi.org/10.1016/j.jeph.2024.202196.
- Kerr J, Rosenberg D, Millstein RA, Bolling K, Crist K, Takemoto M, et al. Cluster randomized controlled trial of a multilevel physical activity intervention for older adults. International Journal of Behavioral Nutrition and Physical Activity 2018 15:1 2018;15:32-. https://doi.org/10.1186/s12966-018-0658-4.
- Toropova A, Björklund C, Bergström G, Elinder LS, Stigmar K, Wåhlin C, et al. Effectiveness of a multifaceted implementation strategy for improving adherence to the guideline for prevention of mental ill-health among school personnel in Sweden: a cluster randomized trial. Implementation Science 2022 17:1 2022;17:23-. https://doi.org/10.1186/s13012-022-01196-6.
- Ingersoll KS, Cohen J. The impact of medication regimen factors on adherence to chronic treatment: a review of literature. doi:10.1007/s10865-007-9147-y
- Mishra M, Parida D, Murmu J, Singh D, Rehman T, Kshatri JS, Pati S. Effectiveness of mHealth Interventions for Monitoring Antenatal Care among Pregnant Women in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis. Healthcare (Basel). 2023 Sep 27;11(19):2635. doi: 10.3390/healthcare11192635.
- Mamo TT, Ashenadi E, Bekele T, Gube AA. Adherence to prenatal iron-folic acid supplementation and associated factors among pregnant women attending antenatal care services in Dilla town, South Ethiopia. 2021;
- Yismaw AE, Tulu HB, Kassie FY, Araya BM. Iron-folic acid adherence and associated factors among pregnant women attending antenatal care at Metema District, Northwest Ethiopia. Front Public Health. 2022 Nov 18;10:978084. doi: 10.3389/fpubh.2022.978084. eCollection 2022.
- Begum K, Ouedraogo CT, Wessells KR, Young RR, Faye MT, Wuehler SE, Hess SY. Prevalence of and factors associated with antenatal care seeking and adherence to recommended iron-folic acid supplementation among pregnant women in Zinder, Niger. Matern Child Nutr. 2018 Feb;14 Suppl 1(Suppl 1):e12466. doi: 10.1111/mcn.12466.
- Desta M, Kassie B, Chanie H, Mulugeta H, Yirga T, Temesgen H, Leshargie CT, Merkeb Y. Adherence of iron and folic acid supplementation and determinants among pregnant women in Ethiopia: a systematic review and meta-analysis. Reprod Health. 2019 Dec 21;16(1):182. doi: 10.1186/s12978-019-0848-9.
- Schneider PJ, Murphy JE, Pedersen CA. Impact of medication packaging on adherence and treatment outcomes in older ambulatory patients. J Am Pharm Assoc (2003). 2008 Jan-Feb;48(1):58-63. doi: 10.1331/JAPhA.2008.07040.
- Lavigne JE, Falbo K, Gutierrez PM. Cost-utility analysis of blister packaging all outpatient medications for veterans with bipolar disorder, major affective disorder, post-traumatic stress disorder or schizophrenia. Journal of Pharmaceutical Health Services Research [Internet]. 2019 Nov 3 [cited 2025 Mar 22];10(4):401-6. Available from: https://dx.doi.org/10.1111/jphs.12324
- Byamugisha J, Adero N, Kiwanuka TS, Nalwadda CK, Ntuyo P, Namagembe I, Nabunya E, Nakirijja E, Mwadime-Ngolo R, Mukasa DC, Ononge S. The effect of blister packaging Iron and Folate on adherence to medication and hemoglobin levels among pregnant women at National Referral Hospital antenatal clinics in a low to middle income country: a Randomised Controlled Trial (The IFAd Trial). BMC Pregnancy Childbirth. 2022 Mar 3;22(1):179. doi: 10.1186/s12884-022-04507-3.
- PROTECTION, CHILD SAFETY AND ANTI-COUNTERFEIT TECHNOLOGY. [cited 2025 Mar 22]; Available from: https://www.cpsc.gov/Regulations-Laws--Standards/Statutes/
- WHO. WHO recommendations on antenatal care for a positive pregnancy experience. 2016.
- Cuevas AM, Germain AM. BR Diet and Endothelial Function. Biol Res. 2004;37:225-30.
- dr. Maria Endang Sumiwi, dr. Lovely Daisy M, Mahmud Fauzi M, Rimbawan Ir Ali Khomsan Mk, Ir Dodik Briawan M, dr Endang Achadi ML, et al. Petunjuk Teknis Pemberian MMS Multivitamin Ibu Hamil. 2024. Report.
- Gonzalez-Casanova I, Nguyen PH, Young MF, Harding KB, Reinhart G, Nguyen H, et al. Predictors of adherence to micronutrient supplementation before and during pregnancy in Vietnam. BMC Public Health. 2017 May 16;17(1).
- Priliani L, Prado EL, Restuadi R, Waturangi DE, Shankar AH, Malik SG. Maternal multiple micronutrient supplementation stabilizes mitochondrial DNA copy number in pregnant women in Lombok, Indonesia. Journal of Nutrition. 2019 Aug 1;149(8):1309-16.
- Prado EL, Sebayang SK, Apriatni M, Adawiyah SR, Hidayati N, Islamiyah A, et al. Maternal multiple micronutrient supplementation and other biomedical and socioenvironmental influences on children's cognition at age 9-12 years in Indonesia: follow-up of the SUMMIT randomised trial. Lancet Glob Health. 2017 Feb 1;5(2):e217-28.
- SUMMIT Study Group. Effect of maternal multiple micronutrient supplementation on fetal loss and infant death in Indonesia: a double-blind cluster-randomised trial The Supplementation with Multiple Micronutrients Intervention Trial (SUMMIT) Study Group* [Internet]. 2008. Available from: www.thelancet.com
- Shao Y, Meng C, Liang YZ. Digital versus non-digital health interventions to improve iron supplementation in pregnant women: a systematic review and meta-analysis. Front Med (Lausanne). 2024;11:1375622. doi:10.3389/fmed.2024.1375622
- Calcium supplementation in pregnant women Guideline: Calcium supplementation in pregnant women. 2013 [cited 2025 Mar 22]; Available from: http://www.who.int/about/licensing/copyright_form/en/index.htm
- Cochrane Library Cochrane Database of Systematic Reviews Calcium supplementation during pregnancy for preventing hypertensive disorders and related problems (Review). 2018 [cited 2025 Oct 29]; Available from: www.cochranelibrary.com
- Paramashanti BA, Nugraheny E, Suparmi S, Afifah T, Nugraheni WP, Purwatiningsih Y, et al. Social determinants and socioeconomic inequalities in adherence to antenatal iron-folic acid supplementation in urban and rural Indonesia. Rural Remote Health. 2024 Nov 1;24(4):8722.
- WHO. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity: new guidelines 2021. Vol. 17. 2021;17:79.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 081/UN18.F8/ETIK/2025
- 023/SID/Agr/IV/2025 (Other Grant/Funding Number: Sight and Life)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Pregnancy
-
Far Eastern Memorial HospitalCompletedCornual PregnancyTaiwan
-
Peking Union Medical College HospitalPeking Union Medical CollegeUnknownPregnancy | Pregnancy Related | Infant | Pregnancy Disease | Risk FactorChina
-
Kafrelsheikh UniversityNot yet recruitingEctopic PregnancyEgypt
-
Meir Medical CenterRecruiting
-
Bagcilar Training and Research HospitalRecruitingEctopic PregnancyTurkey (Türkiye)
-
MELISA Institute Genomics & Proteomics Research...RecruitingHealthy | Pregnancy | Early Pregnancy | Early Pregnancy Loss | ChildbirthChile
-
Ufuk UniversityNot yet recruitingPregnancy Complications | Pregnancy Loss | Pregnancy Preterm
-
Hadassah Medical OrganizationCompleted
-
Turku University HospitalUniversity of TurkuCompleted
-
Centre Hospitalier Universitaire de Saint EtienneCompletedProlonged PregnancyFrance
Clinical Trials on Blister pack
-
Kurt HersbergerTerminated
-
University Medical Center GroningenAardex Group; Smurfit WestrockCompletedHealthy Volunteer StudyNetherlands
-
University of Texas Southwestern Medical CenterWithdrawnCorneal UlcerUnited States
-
Alcon ResearchCompleted
-
VA Eastern Colorado Health Care SystemUnited States Department of DefenseCompletedSuicide, Attempted | Medication Adherence | Accidental Overdose | Deliberate OverdoseUnited States
-
Universidad Católica del MauleCompletedPhysical Therapy Techniques
-
Acibadem UniversityUnknownCold | Muscle InjuryTurkey
-
Wolfson Medical CenterCompleted
-
Institut de Formation et de Recherche en Médecine...RecruitingSport Injury | Blister of FootFrance