Evidence map›Paper›PMID 31159778›Full record

ArticleBMC public health2019

The Community Health Assessment Program in the Philippines (CHAP-P) diabetes health promotion program for low- to middle-income countries: study protocol for a cluster randomized controlled trial.

Gina Agarwal, Ricardo N Angeles, Lisa Dolovich, Janusz Kaczorowski, Jessica Gaber, Dale Guenter, Floro Dave Arnuco, Hilton Y Lam, Lehana Thabane, Daria O'Reilly and 7 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03481335 (Cluster Randomized Controlled Trial for a Community Health Promotion Program), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03481335 nacompletednot on this map

Cluster Randomized Controlled Trial for a Community Health Promotion Program: Community Health Assessment Program in the Philippines (CHAP-P)

TypeinterventionalSponsorMcMaster UniversityRan2018 to 2020Enrolled5,229ConditionsDiabetes Mellitus, Type 2, HypertensionArmsCHAP-P Sessions
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 2 countries.

Gina AgarwalDepartment of Family Medicine, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada. gina.agarwal@gmail.com.ORCID http://orcid.org/0000-0002-5691-4675
Ricardo N AngelesDepartment of Family Medicine, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada.
Lisa DolovichDepartment of Family Medicine, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada.
Janusz KaczorowskiDepartment of Family and Emergency Medicine, University of Montreal and CRCHUM, 850 Saint-Denis St, Montreal, Quebec, H2X 0A9, Canada.
Jessica GaberDepartment of Family Medicine, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada.
Dale GuenterDepartment of Family Medicine, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada.
Floro Dave ArnucoSchool of Medicine, Ateneo de Zamboanga University, La Purisima St, 7000, Zamboanga City, Philippines.
Hilton Y LamInstitute of Health Policy and Development Studies, University of the Philippines Manila, One Adriatico Place Tower One, Adriatico Street Corner Pedro Gill Street, 1000, Manila, Philippines.
Lehana ThabaneDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada.
Daria O'ReillyDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada.
Rodelin M AgbulosZamboanga City Health Office, Pettit Barracks, 7000, Zamboanga City, Philippines.
Rosemarie S ArciagaSchool of Medicine, Ateneo de Zamboanga University, La Purisima St, 7000, Zamboanga City, Philippines.
Jerome BarreraSchool of Medicine, Ateneo de Zamboanga University, La Purisima St, 7000, Zamboanga City, Philippines.
Elgie GregorioSchool of Medicine, Ateneo de Zamboanga University, La Purisima St, 7000, Zamboanga City, Philippines.
Servando HaliliGraduate School, Ateneo de Zamboanga University, La Purisima St, 7000, Zamboanga City, Philippines.
Norvie JalaniDepartment of Health, Zamboanga Peninsula, 7000, Zamboanga City, Philippines.
Fortunato CristobalSchool of Medicine, Ateneo de Zamboanga University, La Purisima St, 7000, Zamboanga City, Philippines.
Ateneo de Zamboanga University · PHMcMaster University · CAImpact · CAUniversidad de Zamboanga · PHUniversité de Montréal · CAUniversity of the Philippines Manila · PHUniversity of Toronto · CA

Funding

Canadian Institutes of Health Research 139438International Development Research Centre 107826-001
6 · The paper itself

Abstract

backgroundType 2 diabetes is increasing globally, with the highest burden in low- to middle-income countries (LMICs) such as the Philippines. Developing effective interventions could improve detection, prevention, and treatment of diabetes. The Cardiovascular Health Awareness Program (CHAP), an evidence-based Canadian intervention, may be an appropriate model for LMICs due to its low cost, ease of implementation, and focus on health promotion and disease prevention. The primary aim of this study is to adapt the CHAP model to a Philippine context as the Community Health Assessment Program in the Philippines (CHAP-P) and evaluate the effect of CHAP-P on glycated hemoglobin (HbA1c) compared to a random sample of community residents in control communities.

methodsSix-month, 26-community (13 intervention, 13 control) parallel cluster randomized controlled trial in Zamboanga Peninsula, an Administrative Region in the southern Philippines. Criteria for community selection include: adequate political stability, connection with local champions, travel feasibility, and refrigerated space for materials. The community-based intervention, CHAP-P sessions, are volunteer-led group sessions with chronic condition assessment, blood pressure monitoring, and health education. Three participant groups will be involved: 1) Random sample of community participants aged 40 or older, 100 per community (1300 control, 1300 intervention participants total); 2) Community members aged 40 years or older who attended at least one CHAP-P session; 3) Community health workers and staff facilitating sessions. PRIMARY OUTCOME: mean difference in HbA1c at 6 months in intervention group individuals compared to control. SECONDARY OUTCOMES: modifiable risk factors, health utilization and access (individual); diabetes detection and management (cluster). Evaluation also includes community process evaluation and cost-effectiveness analysis. DISCUSSION: CHAP has been shown to be effective in a Canadian setting. Individual components of CHAP-P have been piloted locally and shown to be acceptable and feasible. This study will improve understanding of how best to adapt this model to an LMIC setting, in order to maximize prevention, detection, and management of diabetes. Results may inform policy and practice in the Philippines and have the potential to be applied to other LMICs.

trial registrationClinicalTrials.gov ( NCT03481335 ), registered March 29, 2018.

Indexed as

AwarenessDeveloping CountriesHealth EducationProgram EvaluationPublic HealthAdultAgedBlood Pressure DeterminationCanadaCardiovascular SystemCommunity Health WorkersCost-Benefit AnalysisDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHealth PromotionGlycated HemoglobinCluster randomized trialDiabetes mellitusDisease preventionHealth promotionHypertensionLow- to middle-income countries (LMICs)Philippines

Identifiers

PMID31159778
PMCPMC6547510
OpenAlexW2948357112

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.