Scalable Public Health Empowerment, Research, and Education Sites (SPHERES)
SPHERES
End-to-end Digital Transformation for Primary Health Care Performance Management Via Scalable Public Health Empowerment, Research, and Education Sites: A Stepped-Wedge Cluster Randomized Trial
2 other identifiers
interventional
1,750,000
1 country
2
Brief Summary
SPHERES is a health service research trial in the Indonesian primary care system designed to improve health system performance using a structured data-driven action model. The intervention empowers district health leaders to make data-informed decisions that will enhance outcomes across maternal, child, infectious, and non-communicable disease programs.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable pregnancy
Started Aug 2025
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 4, 2025
CompletedStudy Start
First participant enrolled
August 14, 2025
CompletedFirst Posted
Study publicly available on registry
August 15, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
March 31, 2027
August 15, 2025
August 1, 2025
1.4 years
August 4, 2025
August 9, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Difference in neonatal mortality rate between intervention and control periods
Neonatal mortality per 1,000 live births, calculated using health facility and civil registration data, and community household sampling surveys
Baseline up to 16 months, with data collected monthly at each site (i.e. baseline, at the end of month 1, at the end of month 2, and so on until at the end of month 16)
Secondary Outcomes (7)
Difference in complete antenatal care (ANC 6) visit coverage between intervention and control periods
Baseline up to 16 months, with data collected monthly at each site (i.e. baseline, at the end of month 1, at the end of month 2, and so on until at the end of month 16)
Difference in complete basic childhood immunization coverage between the intervention and control period
Baseline up to 16 months, with data collected monthly at each site (i.e. baseline, at the end of month 1, at the end of month 2, and so on until at the end of month 16)
Difference in TB treatment success rate between intervention and control periods
Baseline up to 16 months, with data collected monthly at each site (i.e. baseline, at the end of month 1, at the end of month 2, and so on until at the end of month 16)
Difference in screening coverage for diabetes mellitus among adults between the intervention and control periods
Baseline up to 16 months, with data collected monthly at each site (i.e. baseline, at the end of month 1, at the end of month 2, and so on until at the end of month 16)
Difference in the rate of vertical transmission of hepatitis B between intervention and control periods
Baseline up to 16 months, with data collected monthly at each site (i.e. baseline, at the end of month 1, at the end of month 2, and so on until at the end of month 16)
- +2 more secondary outcomes
Study Arms (2)
SPHERES Intervention Arm
EXPERIMENTALParticipants (district populations) receive services improved by the SPHERES model, which includes structured prescription-for-action protocols targeting three priority domains (infectious disease, maternal \& child health, and non-communicable diseases).
Control
NO INTERVENTIONStandard of care are expected at primary health centers before the SPHERES intervention is deployed
Interventions
A system-level intervention consisting of: * a digital dashboard displaying local health services, outcome indicators, and operational data in a secure Public Health Data Theater; * structured monthly prescription guides targeting service improvements across three priority program areas; * monthly performance monitoring with district health leaders. The intervention is applied at the PHC level, all supported by digital capacity building, district-level deployment of implementation teams, and intersectoral secure health data exchange.
Eligibility Criteria
You may qualify if:
- Residing in or participating in the district catchment areas
- Receiving services from participating health care facilities
- Health providers and district health officials consent to participate in data collection
You may not qualify if:
- Individuals (health workers or patients) who decline to provide informed consent.
- Individuals who are not directly involved in or accessing services from health care facilities or district health offices.
- Inability to provide consent due to cognitive impairment or acute illness for health workers or district health officials involved in data collection
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Purbalingga District Health Office
Purbalingga, Central Java, Indonesia
West Lombok District Health Office
Gerung, West Nusa Tenggara, Indonesia
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Anuraj H Shankar, D. Sc.
Oxford University Clinical Research Unit Indonesia
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- D. Sc.
Study Record Dates
First Submitted
August 4, 2025
First Posted
August 15, 2025
Study Start
August 14, 2025
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
March 31, 2027
Last Updated
August 15, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will not share
The study will not share individual participant data due to the population-level nature of the intervention and national data privacy regulations. Only aggregated and de-identified/anonymized data and codebook may be made publicly available upon publication. All data collection, storage, and analysis procedures will comply with Indonesia's Personal Data Protection Law (UU PDP), Ministry of Health guidance, and institutional ethical standards.