Leveraging Community Health Workers and a Digital Health System to Improve the Timeliness of Child Well Visits
MINT-II/HKW
1 other identifier
interventional
800
1 country
1
Brief Summary
The goal of this cluster-randomized type 1 effectiveness implementation hybrid trial is to evaluate whether a community health worker led, integrated digital health intervention (Huduma Kwa Wakati; "Timely Services" in Kiswahili) can improve rates of timely well visits and receipt of key recommended preventive interventions among children in their first year of life. The hypothesis is that Huduma Kwa Wakati will improve the timeliness and rates of completion of child well visits and receipt of recommended preventive services before age 1 year, compared to the standard of care. Researchers will compare outcomes among children enrolled from intervention clusters and no-intervention comparison clusters. Outcomes will also be compared to a cross-sectional retrospective comparison sample. This study will address the lack of rigorous evidence on the effectiveness of a community-based digital health intervention for promoting rates and timeliness of preventive service receipt among children from sub-Saharan Africa, and identify implementation strategies to facilitate the deployment of integrated community-based digital health interventions in low- and middle-income country settings.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2026
1 active site
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 28, 2023
CompletedFirst Posted
Study publicly available on registry
September 6, 2023
CompletedStudy Start
First participant enrolled
March 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 31, 2027
December 26, 2025
December 1, 2025
1.4 years
August 28, 2023
December 18, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Delay in days (continuous) for the child well visit due at age 14 weeks
The average number of days between the due date of the 14 week well visit and the date on which the child actually attends this visit. Dates abstracted from the child's health book.
Assessed during the endline survey, an average follow-up period of 1 year
Secondary Outcomes (1)
Delay > 28 days (binary) for the child well visit due at age 14 weeks
Assessed during the endline survey, an average follow-up period of 1 year
Other Outcomes (1)
Receipt of all recommended services during the child's first year of life (binary)
Assessed during the endline survey, an average follow-up period of 1 year
Study Arms (2)
Intervention arm (Huduma Kwa Wakati)
EXPERIMENTALWithin the catchment areas of 40 health facilities, 40 communities ("clusters"; 1 per catchment area) will be assigned to the intervention arm. 40 communities ("clusters"; 1 per catchment area) will be assigned to the control arm. 10 pregnant women in their last trimester of pregnancy will be enrolled from each cluster. Women enrolled from intervention clusters will receive all components of the Huduma Kwa Wakati intervention.
Control (Standard of care)
NO INTERVENTIONWithin the catchment areas of 40 health facilities, 40 communities ("clusters"; 1 per catchment area) will be assigned to the intervention arm. 40 communities ("clusters"; 1 per catchment area) will be assigned to the control arm. 10 pregnant women in their last trimester of pregnancy will be enrolled from each cluster. Women enrolled from control arm will receive baseline and follow-up assessments only.
Interventions
Counseling scripts assessing and addressing child health-related knowledge gaps
Reminders of upcoming well visit due dates, sent to the mother's mobile phone
Conditional incentives for timely service receipt, tailored to each child's well visit schedule
Service notifications (e.g., related to stockouts or service non-availability), sent to the mother's mobile phone
Eligibility Criteria
You may qualify if:
- mothers of children ages 12-23 months
- residing in the sampling area
- pregnant women in their last trimester of pregnancy
- residing in the sampling area
- expected to reside in the sampling area until the child reaches age 1 year
You may not qualify if:
- Women who are not living in catchment areas of participating health facilities (which routinely provide maternal and child health services). Facilities must be operational, must have at least 2 community health workers, and must have reported at least 100 pregnancies or births in the year prior to study implementation.)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of South Carolinalead
- Duke Universitycollaborator
- Emory Universitycollaborator
- University of North Carolinacollaborator
- National Institute for Medical Research, Tanzaniacollaborator
Study Sites (1)
National Institute for Medical Research
Dar es Salaam, Tanzania
Related Publications (6)
Yelverton V, Hair NL, Ghosh SH, Mfinanga SG, Ngadaya E, Baumgartner JN, Ostermann J, Vasudevan L. Beyond coverage: Rural-urban disparities in the timeliness of childhood vaccinations in Tanzania. Vaccine. 2022 Sep 2;40(37):5483-5493. doi: 10.1016/j.vaccine.2022.07.020. Epub 2022 Aug 10.
PMID: 35961796BACKGROUNDVasudevan L, Baumgartner JN, Moses S, Ngadaya E, Mfinanga SG, Ostermann J. Parental concerns and uptake of childhood vaccines in rural Tanzania - a mixed methods study. BMC Public Health. 2020 Oct 20;20(1):1573. doi: 10.1186/s12889-020-09598-1.
PMID: 33081744BACKGROUNDOstermann J, Vasudevan L, Baumgartner JN, Ngadaya E, Mfinanga SG. Do mobile phone-based reminders and conditional financial transfers improve the timeliness of childhood vaccinations in Tanzania? Study protocol for a quasi-randomized controlled trial. Trials. 2019 Jul 4;20(1):397. doi: 10.1186/s13063-019-3430-4.
PMID: 31272487BACKGROUNDOstermann J, Hair NL, Moses S, Ngadaya E, Godfrey Mfinanga S, Brown DS, Noel Baumgartner J, Vasudevan L. Is the intention to vaccinate enough? Systematic variation in the value of timely vaccinations and preferences for monetary vs non-monetary incentives among pregnant women in southern Tanzania. Vaccine X. 2023 Jan 23;13:100266. doi: 10.1016/j.jvacx.2023.100266. eCollection 2023 Apr.
PMID: 36814594BACKGROUNDVasudevan L, Ostermann J, Moses SM, Ngadaya E, Mfinanga SG. Patterns of Mobile Phone Ownership and Use Among Pregnant Women in Southern Tanzania: Cross-Sectional Survey. JMIR Mhealth Uhealth. 2020 Apr 8;8(4):e17122. doi: 10.2196/17122.
PMID: 32267240BACKGROUNDVasudevan L, Ostermann J, Thielman N, Baumgartner JN, Solomon D, Mosses A, Hobbie A, Hair NL, Liang C, van Zwetselaar M, Mfinanga S, Ngadaya E. Leveraging Community Health Workers and a Responsive Digital Health System to Improve Vaccination Coverage and Timeliness in Resource-Limited Settings: Protocol for a Cluster Randomized Type 1 Effectiveness-Implementation Hybrid Study. JMIR Res Protoc. 2024 Jan 12;13:e52523. doi: 10.2196/52523.
PMID: 38214956DERIVED
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Jan Ostermann, PhD
University of South Carolina
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
August 28, 2023
First Posted
September 6, 2023
Study Start
March 1, 2026
Primary Completion (Estimated)
July 31, 2027
Study Completion (Estimated)
July 31, 2027
Last Updated
December 26, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will not share
The data from this study will be available from the National Institute for Medical Research, Muhimbili Research Centre, Tanzania, but restrictions apply that are governed by consent forms and data transfer agreements. Data may be made available by the authors upon reasonable request and with permission of the National Medical Research Review Committee at the National Institute for Medical Research (NIMR) in Tanzania.