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Cluster Randomized Controlled Trial for a Community Health Promotion Program: Community Health Assessment Program in the Philippines (CHAP-P)
This study aims to evaluate the effectiveness of the Community Health Assessment Program in the Philippines (CHAP-P), looking at the differences between communities implementing CHAP-P versus communities not implementing CHAP-P.
In this study, the investigators are evaluating the effectiveness of the CHAP-P intervention in communities of the Zamboanga Peninsula, Philippines. Specifically, the investigators are looking at the difference between hemoglobin A1c (HbA1c) levels in randomly selected residents of control communities versus those in communities implementing the CHAP-P intervention. The investigators are also looking at the differences between control and intervention communities in modifiable lifestyle risk factors for diabetes, screening rates for diabetes, rates of newly diagnosed cases of diabetes, general diabetes management, and hospital admission rates, as well as the cost effectiveness of CHAP-P. The CHAP-P intervention consists of initial and follow-up sessions where trained local volunteers (Barangay Health Workers, or BHWs) take physical measurements (blood pressure, height, weight, waist circumference) and facilitate a diabetes risk survey; based on these findings, they provide education, materials, and referrals to local health resources as needed. The participant groups in this evaluation include those that attend CHAP-P sessions, randomly selected community members that provide consent for a survey and HbA1c testing, and community members and BHWs/other Lead Local Organization staff who provide consent for focus groups and interviews.
Age
40 - No limit years
Sex
ALL
Healthy Volunteers
Yes
Ateneo de Zamboanga University
Zamboanga City, Zamboanga Del Sur, Philippines
Start Date
June 1, 2018
Primary Completion Date
July 1, 2019
Completion Date
December 31, 2020
Last Updated
March 1, 2021
5,229
ACTUAL participants
CHAP-P Sessions
OTHER
Lead Sponsor
McMaster University
Collaborators
Data Source & Attribution
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