Engagement of coMmunity through Participatory learning and action for cOntrol and preVEntion of type II Diabetes and its Risk factors (EMPOWER-D) - A Protocol for a Cluster Randomised Controlled Trial

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2025-10-14
DOI
https://doi.org/10.1186/s12889-025-24371-y
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engagement of coMmunity through Participatory learning and action for cOntrol and preVEntion of type II Diabetes and its Risk factors (EMPOWER-D) - A Protocol for a Cluster Randomised Controlled Trial

Inayat Shah, Mona Kanaan, Hannah Maria Jennings, Amber Tahir et al.
BMC Public Health
Diabetes Management and Education
article

Engagement of coMmunity through Participatory learning and action for cOntrol and preVEntion of type II Diabetes and its Risk factors (EMPOWER-D) - A Protocol for a Cluster Randomised Controlled Trial

Inayat Shah, Mona Kanaan, Hannah Maria Jennings, Amber Tahir, Noor Sanauddin, Zohaib Khan, Zia Ul Haq, Sheraz Fazid, Khalid Rehman, Simon Walker, Ahmed Shahab, Farrukh Ahmed, Maria Ishaq Khattak, Rubia Zafar, Saima Afaq, Abdul Basit, Sajid Ali, Kamran Siddiqi, Asima Khan, Mariam Abdeali, Sara Imtiaz, Nadia Khaleeq
article en

Abstract

No abstract available for this paper.
BMC Public HealthVol. 25(1)
Khyber Medical University (PK), Thai Health Promotion Foundation (TH), University of York (GB)
Government of the United Kingdom, National Institute for Health and Care Research
Openalex Percentile: Top 61%
Diabetes Management and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.