Can Village Health Volunteers/Workers Working As Male-Female Pairs Improve the Use of Postnatal Care Services in the Lao People's Democratic Republic
NCT ID: NCT06654505
Last Updated: 2024-10-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
RECRUITING
NA
302 participants
INTERVENTIONAL
2024-08-10
2026-10-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Methods A quasi-experimental cluster study will be conducted between July 2024 and October 2026 in 37 selected sites from two districts in southern Lao PDR. In 19 selected intervention villages in the Sepone district, female-male VHV/Ws pairs will promote postpartum services, whereas, in 18 similar control villages in the Vilabuly district, VHV/Ws will work as individuals.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Saving Babies Lives
NCT04663620
Involving Men in Maternity Care in Burkina Faso
NCT02309489
Exploring the Feasibility of Kōmmour Prenatal to Reduce Maternal and Infant Health Disparities
NCT04558619
Interactive Mobile Health Intervention to Improve Early Postpartum Modern Contraceptive Method Uptake
NCT05666037
An Innovative Mobile Technology Intervention for Maternal and Child Health Care in Cambodia
NCT05639595
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NON_RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
DOUBLE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Villages where Village Health Volunteers/Workers work as individuals
No interventions assigned to this group
Villages where Community Health Workers work in pairs
Paired Community Health Workers
Community Health Workers will promote maternal and child health services as paired female and male
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Paired Community Health Workers
Community Health Workers will promote maternal and child health services as paired female and male
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
* Women who do consent to participate in the surveys
* Women who face a language barrier with surveyors will not be enrolled.
15 Years
49 Years
FEMALE
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University of the Ryukyus
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Credo Adelphe Ahissou
Research fellow and Assistant Investigator
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Sepon and Vilabouly districts
Savannakhet, , Laos
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
24-2329-00-00-00
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.