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NCT Number: NCT07842224

The Effect of Digitally Enabled District (DED 2.0) Ecosystem on the Completeness and Timeliness of Maternal and Neonatal Services in Primary Health Care

DED 2.0 is a stepped-wedge cluster-randomized trial testing whether an integrated digital health ecosystem (KuApps, a service-monitoring dashboard, AI-assisted OCR for handwritten records, two-way WhatsApp-based health communication, and an automated worker-support tool) improves the completeness and timeliness of maternal and neonatal primary health care services, delivered through 45 Puskesmas in Garut Regency, West Java, Indonesia.

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Key information

Sex eligibility

Female

Study type

Interventional

Phase

Not applicable

Primary location

Summit Institute for Development

Mataram, West Nusa Tenggara, 83238, Indonesia

About this study

DED 2.0 (Digitally Enabled Districts) is designed to examine whether integrated digital health tools can strengthen the performance of Primary Health Care (PHC) in Indonesia. The package targets several interconnected areas: (1) strengthening district-level human resources in core components of knowledge and skills for digitalisation; (2) establishing adaptable and modifiable digital infrastructure (e.g., data pipelines, dashboards, and KuApps) that local personnel can configure to their own needs; (3) building sustainable implementation capacity in both workforce skills and financing; and (4) enabling high-fidelity scale-up of digitalisation across Puskesmas, resulting in improvements in primary healthcare delivery.

While local health information systems face fragmentation, with multiple disconnected applications causing duplicate data entry, inconsistent indicators, and delayed decision-making, DED 2.0 addresses these issues by building an integrated digital system that enables seamless data integration across services, real-time monitoring of population health, improved coordination among health workers, and stronger data-driven planning and decision-making. This is expected to enhance the completeness, timeliness, visibility, and use of routine health data, allowing earlier identification of service gaps and high-risk cases, strengthening care coordination and follow-up, increasing timely referrals, and improving monitoring of maternal and neonatal services.

Beyond technology adoption, DED 2.0 places equal emphasis on strengthening human resources: training health workers to use the digital systems, building local technical capacity, fostering coaching and peer learning through selected health-worker "Champions," and accelerating digital adoption across facilities through a tiered "train the trainer" model. DED is hypothesised to increase the completeness and timeliness of antenatal, postnatal, and neonatal services; improve facility-based delivery and skilled birth attendance; and ultimately contribute to improved maternal and neonatal outcomes.

The trial uses a cluster-randomised stepped-wedge design, with Puskesmas as the unit of intervention, in a single district, Garut Regency, West Java, Indonesia. A one-month baseline (retrospective data of Aug-Sept, taken in October) is followed by three sequential steps of three months each, at each of which a new sequence of 15 clusters (one-third of the 45 eligible PHCs) crosses over from control to intervention status. All 45 sites have received the intervention by the start of the third step, reaching full coverage in April 2027; outcome monitoring for the final wave continues through the end of that step in May 2027, a 9-month rollout-and-monitoring window in total. Each cluster undergoes an initial preparatory stage, a phased pre-intervention digital-readiness phase, followed by a data-driven action phase, sequencing digital readiness first to improve managerial and behavioural accuracy and consistency.

DED is expected to serve as a replicable framework for district-level digital health transformation across Indonesia, generating practical evidence on implementing and sustaining digital health systems in primary health care and informing national scale-up strategies.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

(Pregnant Women):

  • Mothers residing within the catchment area of a participating Puskesmas in Garut Regency during their pregnancy
  • Pregnancy registered in the maternal health records of a participating Puskesmas within the study catchment area in Garut Regency
  • The pregnant woman provides informed consent to participate in the study.

Exclusion criteria

(Pregnant Women):

  • The participant relocates permanently outside the study area before the outcome-observation window begins.

Inclusion criteria

(Puskesmas Level):

  • Located in Garut Regency; at baseline, the DED ecosystem had not been integrated into daily service operations.

Exclusion criteria

(Puskesmas Level):

  • Puskesmas had fully implemented the DED ecosystem in daily practice before the study baseline period
  • Puskesmas lacks adequate routine service data for outcome measurement throughout the study period

Treatment and study plan

Digitally Enabled District (DED)

Device

The research adopts a stepped-wedge cluster-randomized design. Puskesmas are randomized sequentially to receive the intervention. Following a one-month baseline (retrospective data of Aug-Sept, taken in October), an additional set of 15 clusters begins the intervention at the start of each three-month step: step one covers randomisation and digital-readiness training for that wave, and the remainder of the step is given over to monitoring utilisation of the digital platform. Three successive steps of three months each follow this pattern until the full sample is covered, within a 9-month rollout-and-monitoring window.

Other names: DED 2.0

Primary outcomes

  1. Completeness of Antenatal Care (ANC) Services within the Gestational-Age Window

    Time frame: From first ANC contact up to 40 weeks gestation, assessed up to 9 months

    Completeness of ANC services within the gestational-age window, in accordance with the recommended schedule and standard:

    Trimester 1 (1 visit, 1 ultrasound, 1 physician examination); Trimester 2 (2 visits); Trimester 3 (3 visits, 1 ultrasound, 1 physician examination).

    Binary, individual-level: 1 = received all scheduled ANC contacts within the nationally recommended gestational-age windows; 0 = otherwise. Denominator = all eligible pregnant women registered at the cluster in that cluster-period. Analysed via generalised linear mixed model with a cluster random effect and categorical calendar period as a fixed effect (Hussey & Hughes, 2007). This is the study's single registered primary outcome; ANC "12T" completeness, PNC completeness, and PNC standard-assessment completeness are secondary outcomes.

Secondary outcomes

  1. Proportion of Participants with Timely ANC Contacts

    Time frame: Assessed at each gestational-age window, up to 40 weeks gestation

    Proportion of pregnant women for whom mandated ANC visits are documented within the correct gestational-age window (per trimester schedule) in routine facility records (KuApps and Legacy Apps). Coded 1 = Timely; 0 = Not timely

  2. Proportion of Participants with Complete Postnatal Care (PNC)

    Time frame: From delivery through 42 days postpartum

    Proportion of postpartum women for whom all four scheduled PNC contacts are documented by a health worker in routine facility records (KuApps and Legacy Apps):

    PNC1 (6 hours-2 days), PNC2 (3-7 days), PNC3 (8-28 days), PNC4 (29-42 days). Coded 0 = Incomplete, 1 = Complete.

  3. Proportion of Participants with a Complete Standard PNC Assessment

    Time frame: From delivery through 42 days postpartum

    Proportion of postpartum women with all 14 mandated components of the Book of KIA standard PNC assessment, documented in routine facility records (KuApps and Legacy Apps). Components include breast examination (assessment of lactation/breastfeeding), bleeding assessment, examination of the birth canal/perineum, Vitamin A administration, postpartum family planning, mental health screening, counselling, and case management. Documented in routine facility records (KuApps and Legacy Apps)

  4. Proportion of Neonates with Complete Neonatal Visits

    Time frame: From birth through 28 days of age

    Proportion of neonates for whom all three neonatal visits (KN1, KN2, and KN3) fully documented in routine facility records (KuApps and Legacy Apps). Classified as incomplete if one or more visits are not documented.

    Coded 0 = Incomplete, 1 = Complete.

  5. Proportion of Neonates Receiving Complete Essential Neonatal Care

    Time frame: From birth through 28 days of age

    Proportion of neonates for whom all required essential neonatal care components are documented in routine facility records (KuApps and Legacy Apps). Assessing the completeness of all required essential neonatal care components documented, comprising eye antibiotic ointment, Vitamin K administration, umbilical cord care, early initiation of breastfeeding, and exclusive breastfeeding.

    Coded 0 = Incomplete, 1 = Complete.

  6. Proportion of Neonates Receiving Complete Standard Neonatal Examination

    Time frame: From birth through 28 days of age

    Completeness of the standard neonatal examination, comprising: KN1: weight measurement, length measurement, head circumference measurement, breastfeeding assessment, umbilical cord care, Vitamin K1 administration*, eye ointment/drops*, Hepatitis B immunisation, congenital hypothyroidism screening (after 24 hours), congenital heart disease screening, triple elimination screening. KN2: breastfeeding assessment, umbilical cord examination/care, danger-sign assessment, jaundice identification, Hepatitis B immunisation*, congenital hypothyroidism screening (if not yet given), triple elimination screening. KN3: breastfeeding assessment, umbilical cord examination/care, danger-sign assessment, jaundice identification, congenital hypothyroidism screening (if not yet given), triple elimination screening.

    Coded 0 = Incomplete, 1 = Complete.

  7. Proportion of neonates with timely neonatal visits

    Time frame: From birth through 28 days of age

    Proportion of neonates for whom each neonatal visit is documented within the appropriate age window in routine facility records (KuApps and Legacy Apps): KN1 (6-48 hours), KN2 (3-7 days), KN3 (8-28 days). Coded 1 = Timely; 0 = Not timely.

  8. Proportion of Pregnancy Outcomes

    Time frame: At delivery, (up to 9 months from Puskesmas enrolment)

    Proportion of recorded pregnancies resulting in a live birth and non-live birth (such as stillbirth or miscarriage/abortion), ascertained at delivery from routine facility records (KuApps and Legacy Apps). Coded 0 = Death/stillbirth, 1 = Miscarriage/abortion, 2 = Live birth

  9. Proportion of Neonates with Birth Weight ≥ 2,500 g

    Time frame: At delivery (up to 9 months from Puskesmas enrolment)

    Proportion of live-born neonates with birth weight ≥ 2,500 g, measured in grams using a calibrated infant scale and recorded in routine facility records (KuApps and Legacy Apps). Coded 1 = ≥ 2,500 g; 0 = < 2,500 g (low birth weight)

  10. Proportion of Facility-Based Deliveries

    Time frame: At delivery (up to 9 months from Puskesmas enrolment)

    Proportion of deliveries occurring at a health facility, ascertained from routine facility records (KuApps and Legacy Apps). Coded 1 = Facility-based delivery; 0 = Delivery outside a health facility

  11. Proportion of Deliveries Attended by a Skilled Birth Attendant

    Time frame: During pregnancy (from the first ANC contact, up to 40 weeks gestation), at delivery, and up to 42 days postpartum

    Personnel who assisted the delivery process, ascertained from routine facility records Coded 0 = Non-health-worker, 1 = Health worker

  12. Proportion of Documented Complications with Documented Management

    Time frame: During pregnancy (from the first ANC contact, up to 40 weeks gestation), at delivery, and up to 42 days postpartum

    Proportion of participants with a documented obstetric complication for whom a documented set of clinical actions and care is recorded in routine facility records (KuApps and Legacy Apps). Coded 1 = Documented management; 0 = Not documented.

  13. Mean Arterial Pressure (MAP)

    Time frame: Assessed at each ANC contact, up to 40 weeks gestation

    A person's average blood pressure in the arteries during one complete cardiac cycle recorded as a continuous variable in mmHg. An additional ordinal variable derived from MAP, categorising the continuous value into clinical groups:

    0 = Normal (<90 mmHg)

    • = Elevated (≥90-<92)
    • = Stage 1 hypertension (≥92-<96)
    • = Stage 2 hypertension (≥96)
  14. Blood Pressure (Systolic)

    Time frame: Assessed at each ANC contact, up to 40 weeks gestation

    The pressure inside the artery when the heart contracts and pumps blood through the body. the "top number" of a blood pressure reading. Recorded as a continuous variable in mmHg in routine facility records (KuApps and LegacyApps). An additional ordinal variable derived from systolic blood pressure for systolic status:

    0 = Normal (<130 mmHg)

    • = Stage 1 hypertension (≥130-<140 mmHg)
    • = Stage 2 hypertension (≥140 mmHg)
  15. Blood Pressure (Diastolic)

    Time frame: Assessed at each ANC contact, up to 40 weeks gestation

    The pressure inside the artery when the heart is at rest. Recorded as a continuous variable in mmHg. the "bottom number" of a blood pressure reading, recorded in routine facility records (KuApps and Legacy Apps). Reported as a continuous variable. An additional ordinal variable derived from diastolic blood pressure for diastolic status:

    0 = Normal < 80 mmHg

    • = Stage 1 hypertension (80-89 mmHg)
    • = Stage 2 hypertension (>90 mmHg)
  16. Maternal Body Height

    Time frame: Assessed at each ANC contact, up to 40 weeks gestation

    Vertical distance from the soles of the feet to the top of the head of a person standing upright

  17. Maternal Body Weight

    Time frame: Assessed at each ANC contact, up to 40 weeks gestation

    Maternal's total amount of fluid, fat, muscle, and bone mineral in the human body, as measured using a scale, expressed in kilograms (kg)

  18. Body Mass Index (BMI)

    Time frame: Assessed at each ANC contact, up to 40 weeks gestation

    Maternal BMI which considered as an index used to determine ideal body weight based on the ratio of weight to height. Reported as a continuous variable. Descriptive categorisation:

    underweight <18.5 normal 18,5-22,9 overweight 23-24.9 obesity type 1: 25-29.9 obesity type 2: >30

  19. Maternal Mid-Upper Arm Circumference (MUAC)

    Time frame: At each ANC contact, up to 40 weeks gestation

    Maternal upper arm circumference measured in centimetres using a standard non-elastic MUAC measuring tape at the first ANC contact, recorded in routine facility records (KuApps and Legacy Apps). Reported as a continuous variable.

  20. Proportion of participants with Chronic Energy Deficiency (CED)

    Time frame: At each ANC contact, from first ANC contact up to 40 weeks gestation

    Proportion of pregnant women are classified as having Chronic Energy Deficiency (CED) if their Mid-Upper Arm Circumference (MUAC) is < 23.5 cm, measured at the first Antenatal Care (ANC) visit

  21. Occurrence of Stock Out of Essential ANC Medications and Supplements per Month

    Time frame: From study initiation through study completion, assessed up to 9 months

    Occurrence of at least one day of unavailability (recorded stock = 0) during the observation month for essential ANC medications and supplements, such as Iron-Folic Acid (IFA) tablets, calcium, and folic acid, ascertained from monthly Puskesmas pharmacy and logistics records. Coded 1 = At least one stock-out day during the month; 0 = No stock out

  22. Puskesmas Performance Score (PKP)

    Time frame: Every 3 months, from study initiation through study completion, assessed up to 9 months

    Aggregate score of Puskesmas (Community Health Centre) service performance, ascertained from the Ministry of Health's Puskesmas Performance Assessment (Penilaian Kinerja Puskesmas, called PKP) monthly tabulations. Reported as a continuous score per Puskesmas per observation month

  23. Workload Distribution per Health Worker

    Time frame: from study initiation through study completion, assessed up to 9 months

    Number of pregnant women served per health worker (midwife or cadre) per Puskesmas per observation month, computed from routine service records (KuApps and Legacy Apps) divided by the roster of active ANC providers per Puskesmas. Reported as a continuous count

  24. Proportion of ANC contacts recorded by cadres (Task Shifting)

    Time frame: From study initiation through study completion, assessed up to 9 months

    Proportion of documented ANC contacts recorded by cadres compared with the total number of ANC contacts documented during the period, ascertained from KuApps and Legacy Apps entry logs. Reported as a continuous proportion (0-100%).

  25. Proportion of Health Workers Actively Using the KuApps per Observation Month

    Time frame: From study initiation through study completion, assessed up to 9 months

    Proportion of registered health workers and cadres per Puskesmas who actively used the KuApps application at least once during the observation month, ascertained from KuApps user activity logs (log-in timestamps and data entry events). Reported as a continuous proportion (0-100%) per Puskesmas per month.

  26. Availability of digital infrastructure

    Time frame: From study initiation through study completion, assessed up to 9 months

    Availability of supporting devices and connectivity (computers/tablets, internet connection) at health facilities. This is ascertained by facility inventory checklist adapted from the Digital Readiness Assessment (DRA). Coded 1 = Fully available (device + connectivity); 0 = Not fully available

  27. Electronic medical record integration

    Time frame: From study initiation through study completion, assessed up to 9 months

    Connectivity status of the Puskesmas recording system with the national Electronic Medical Record system (SATUSEHAT), ascertained by facility inventory checklist and confirmed via SATUSEHAT integration logs. Coded 1 = Integrated; 0 = Not integrated

  28. Proportion of routine reports submitted on time

    Time frame: From study initiation through study completion, assessed up to 9 months

    Proportion of routine Puskesmas reports (monthly ANC, PNC, and neonatal reports) submitted by the established Dinas Kesehatan deadline during the observation month, ascertained from Dinas Kesehatan report intake logs. Reported as a continuous proportion (0-100%)

  29. Training Costs

    Time frame: From study initiation through study completion, assessed up to 9 months

    Total cost of training healthcare workers using the DED (trainer's fee, healthcare worker training time, materials, transportation), per Puskesmas. Reported in Indonesian Rupiah (IDR)

  30. Infrastructure cost

    Time frame: From procurement through study completion, assessed up to 9 months

    Hardware and network costs (such as tablets/mobile phones, servers/cloud, internet) measured based on economic lifespan, attributable to the DED ecosystem, annualised over economic lifespan, ascertained from a prospective cost inventory. Reported in Indonesian Rupiah (IDR)

  31. Dashboard and Software Costs

    Time frame: From application deployment through study completion, assessed up to 9 months

    Annualised development and licensing costs of the KuApps application and PWS dashboard attributable to the DED ecosystem, ascertained from a prospective cost inventory. Reported in Indonesian Rupiah (IDR)

  32. Digital interoperability/integration costs

    Time frame: From integration initiation deployment through study completion, assessed up to 9 months

    Costs of RME and AI-OCR integration attributable to the DED ecosystem, ascertained from a prospective cost inventory. Reported in Indonesian Rupiah (IDR)

  33. Technical support & maintenance costs

    Time frame: From study initiation through study completion, assessed up to 9 months

    Ongoing operational costs of HealthComm, Tableau, PWS, and KuApps dashboard servers per period, ascertained from a prospective cost inventory. Reported in Indonesian Rupiah (IDR)

  34. Healthcare service costs per unit

    Time frame: From study initiation through study completion, assessed up to 9 months

    Cost of providing ANC, PNC, delivery, and referral services per service unit, ascertained from a prospective service costing exercise (facility-based micro-costing). Reported in Indonesian Rupiah (IDR) per service unit

  35. Cost time horizon and period

    Time frame: From initial expenditure through study completion, assessed up to 9 months

    The timeframe over which costs are calculated covering the identification of incurred costs and the duration (time horizon) of the study, as well as costs categorized by source and expenditure period. Reported as a structured cost inventory in Indonesian Rupiah (IDR), stratified by source and expenditure period

  36. Number of additional services

    Time frame: From study initiation through study completion, assessed up to 9 months

    Difference in the number of documented services and visits delivered between the intervention and control periods, ascertained from routine facility records (KuApps and Legacy Apps). Reported as a continuous count

  37. Number of Participants completing the complete continuum of maternal care

    Time frame: From ANC1 through 42 days postpartum

    Number of mothers documented as completing the full continuum: ANC (per standard), delivery, and PNC (all four contacts), ascertained from routine facility records (KuApps and Legacy Apps). Reported as a continuous count.

  38. Incremental Cost per Disability-Adjusted Life Year (DALY) Averted

    Time frame: At trial end, through study completion (up to 9 months of rollout and follow-up)

    Incremental cost of the DED ecosystem per DALY averted, computed by linking observed improvements in maternal and neonatal care coverage to modelled reductions in mortality and morbidity risk using published transition-model parameters. Reported as IDR (Indonesian Rupiah) per DALY averted.

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Sponsors and collaborators

Lead sponsor

Summit Institute for Development, Indonesia

Other

Collaborators

  • Bill and Melinda Gates Foundation

Registry information

Official study title

The Effect of Digitally Enabled District (DED 2.0) Ecosystem on the Completeness and Timeliness of Maternal and Neonatal Services in Primary Health Care: A Stepped-Wedge Cluster Randomised Trial in Garut Regency, Indonesia

Acronym: DED

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Sep 25, 2026
Registry last updated
Sep 25, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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