- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07350694
Engagement of coMmunity Through Participatory Learning and Action for cOntrol and preVEntion of Type II Diabetes and Its Risk Factors (EMPOWER-D-Afg)
Engagement of coMmunity Through Participatory Learning and Action for cOntrol and preVEntion of Type II Diabetes and Its Risk Factors [EMPOWER-D-Afg]: Feasibility Trial in Rural Kabul-Afghanistan
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This approach centres on adapting, implementing, and evaluating a Participatory Learning and Action (PLA) based intervention for the prevention and control of Type II Diabetes. Mellitus (TIIDM). TIIDM is one of the fastest-growing health emergencies globally, affecting an estimated 589 million adults, with projections for 2050 indicating a 45% increase in diabetes. Approximately 80% of people with TIIDM live in low- and middle-income countries (LMICs), placing further strain on already overburdened health systems.
Afghanistan shows similarly concerning trends, with an age-standardised diabetes prevalence of 11.7%, affecting 1.93 million adults in 2024 and projected to rise to 4.76 million by 2050, with 71.4% remaining undiagnosed. Prevalence rises sharply with age and varies by province for example, approximately 11% in Kabul, 11.8% in Nangarhar, and over 22% in Kandahar. These figures highlight the urgency of developing culturally appropriate and evidence-based interventions to prevent and control diabetes in Afghan communities.
The intervention draws on evidence from the "Community groups or mobile phone messaging to prevent and control type 2 diabetes and intermediate hyperglycaemia in Bangladesh (DMagic)" trial, which proved effective in rural Bangladesh. However, PLA-based interventions have yet to be tested in rural Afghan communities. Recognizing the distinct sociocultural context, geopolitical and health system challenges in rural Kabul, Afghanistan, a feasibility trial will be carried out in selected rural sites of Kabul Province.
This feasibility trial will evaluate the adaptability and implementation of the intervention within Afghanistan's context. By applying evidence-based practices and fostering meaningful community participation through PLA, the initiative aims to improve social and behavioural determinants of health, enhance diabetes prevention and control, and create a model for addressing other non-communicable diseases in Afghan communities.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Abdul Rahman Shahab, MPH
- Phone Number: +93786611325
- Email: abdul.shahab@hntpo.org
Study Contact Backup
- Name: Sayed Murtaza Sadat Hofiani, MPH
- Phone Number: +93700555600
- Email: rsch.coord@hntpo.org
Study Locations
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Kabul
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Kabul, Kabul, Afghanistan, 24000
- Recruiting
- HealthNet TPO, Afghanistan
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Contact:
- Abdul Rahman Shahab, MPH
- Phone Number: +93786611325
- Email: abdul.shahab@hntpo.org
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Contact:
- Sayed Murtaza Sadat Hofiani, MPH
- Phone Number: +93700555600
- Email: rsch.coord@hntpo.org
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- For intervention phase: Individuals aged 20 years and above. For baseline and endline assessments (before and after the intervention): Individuals aged 30 years and above.
- Participants residing in the randomized clusters of Kabul, Afghanistan Individuals willing to participate in the study and provide consent.
- All individuals with normoglycemia, intermediate hyperglycaemia, and diabetes are encouraged to participate.
- Participants who can attend the scheduled meetings and interventions as per the study protocol.
Exclusion Criteria:
- For Intervention phase: Individuals below the age of 20 years. For baseline and endline assessments (before and after the intervention): individuals below the age of 30 years.
- Individuals unwilling to provide consent for participation.
- Participants with reported health conditions that may hinder their active involvement in the study.
- Individuals with non-compliance with research protocols
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: PLA Intervention group
Participatory Learning and Action (PLA) sessions adapted from the D-MAGIC trial (Bangladesh).
The PLA intervention will be delivered to community members with type II diabetes to improve diabetes-related outcomes.
Sessions will be group-based, lasting approximately 2-3 hours each.
Participants in this arm will be followed and evaluated 10 months after the start of the intervention using a structured, validated, literature-based endline assessment checklist to assess feasibility and outcomes.
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An PLA based intervention would be carried out to prepare the individuals with TIIDM.
The intervention would be carried out for a tentative time of 2 to 3 hours to educate the community.
The study participants would be evaluated after completion of 10 months of the intervention.
A structured, validated and literature-based end line assessment checklist will be devised to assess the feasibility of the intervention.
Other Names:
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No Intervention: Usual care (control) group
Participants in the control arm will receive standard practice (usual care) and comprehensive information about the project but will not receive the PLA intervention.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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To culturally adapt PLA-based intervention (D-Magic) for primary prevention and control of TIIDM in rural communities of Afghanistan
Time Frame: 10 months
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The outcome will measure the total number of Participatory Learning and Action (PLA) meetings conducted according to the adapted PLA manual.
A total of 40 sessions are planned across four PLA groups (two male groups and two female groups), with 10 sessions per group.
This measure will report the number of sessions completed as scheduled.
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10 months
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To test the feasibility of the culturally adapted PLA-based intervention (D-Magic)
Time Frame: 12 months
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Definition: Feasibility is measured by the number of participants attending PLA meetings, reflecting successful delivery and engagement. Measurement: Number of attendees (N) and proportion (%) of invited participants attending at least one PLA session. |
12 months
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To test the acceptability of the culturally adapted PLA-based intervention (D-Magic)
Time Frame: 12 months
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Definition: Acceptability is assessed by participant retention across PLA meetings, reflecting continued engagement and satisfaction with the intervention. Measurement: Number of participants completing the series of PLA meetings (N) and proportion (%) retained. |
12 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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To estimate the inter-correlation coefficient to inform future adjustment of sample size
Time Frame: 6 months
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The intra-cluster correlation coefficient (ICC) will be estimated to assess within-cluster similarity.
Both measures will provide essential parameters for designing a future full-scale rural trial.
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6 months
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To identify and examine potential Barriers to Implementation of the PLA-Based Intervention
Time Frame: 12 months
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Definition: Barriers to implementing the PLA-based intervention, including logistical, operational, cultural, and community-related challenges. Measurement: Identified and assessed through process evaluation using supervisory checklists, supervision reports, meeting minutes, participant feedback, and qualitative data from FGDs and IDIs. Each barrier will be coded and categorized into predefined domains. Unit of Measure: Number of unique barriers identified in each category (count) and descriptive summaries. |
12 months
|
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To identify and examine potential facilitators of Implementation of the PLA-Based Intervention
Time Frame: 12 months
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Definition: Factors that facilitate successful implementation of the PLA-based intervention, including community engagement strategies, mobilizer practices, and contextual supports. Measurement: Identified and assessed through process evaluation using the same tools: supervisory checklists, supervision reports, meeting minutes, participant feedback, and qualitative data from FGDs and IDIs. Facilitators will be coded and categorized into predefined domains. Unit of Measure: Number of unique facilitators identified in each category (count) and descriptive summaries. |
12 months
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To assess the frequency of Type 2 Diabetes and Intermediate Hyperglycaemia
Time Frame: 12 months
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Type 2 diabetes and intermediate hyperglycaemia will be assessed at baseline and endline of the intervention using biochemical measurements, including fasting blood glucose and HbA1c, based on standard clinical cut-off values. Additional cardiometabolic risk factors will be assessed at baseline and endline, including anthropometric measurements (weight and height) and selected behavioural factors collected using standardised questionnaires (Food Frequency Questionnaire, Physical Activity Questionnaire and WHOQOL-BREF). Sociodemographic information will be collected using a structured case report form. Outcomes will be reported as counts and percentages only. |
12 months
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Abdul Rahman Shahab, MPH, Deputy Country Director, HealthNet TPO, Afghanistan
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
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
- HealthNet TPO, A-12-24-464
- NIHR 203248 (Other Grant/Funding Number: National Institute of Health and Care Research)
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
- ICF
- 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.
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