ArticleTrials2019
Use of a Geographic Information System to create treatment groups for group-randomized community trials: The Minnesota Heart Health Program.
Article in Trials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02607917 (Testing a Community Intervention to Increase Aspirin Use for Primary Prevention of Cardiovascular Disease), which is not on this map. Cited by 4 papers.
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.
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.
Testing a Community Intervention to Increase Aspirin Use for Primary Prevention of Cardiovascular Disease
Who cites it
4 citing papers in PubMed.
- The use of geographic information systems (GIS) in studying mental health service delivery: A scoping review.Global mental health (Cambridge, England) · 2025Review
- Regular aspirin use among a sample of American Indians/Alaskan Natives in the Upper Midwest region of the United States.Preventive medicine reports · 2024Article
- Regionalization with Self-Organizing Maps for Sharing Higher Resolution Protected Health Information.Annals of the American Association of Geographers · 2022Article
- A community-based group randomized trial to increase aspirin use for primary prevention of cardiovascular disease: Study protocol and baseline results for the "Ask About Aspirin" initiative.Contemporary clinical trials communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundGroup-randomized trials of communities often rely on the convenience of pre-existing administrative divisions, such as school district boundaries or census entities, to divide the study area into intervention and control sites. However, these boundaries may include substantial heterogeneity between regions, introducing unmeasured confounding variables. This challenge can be addressed by the creation of exchangeable intervention and control territories that are equally weighted by pertinent socio-demographic characteristics. The present study used territory design software as a novel approach to partitioning study areas for The Minnesota Heart Health Program's "Ask about Aspirin" Initiative.
methodsTwenty-four territories were created to be similar in terms of age, sex, and educational attainment, as factors known to modify aspirin use. To promote ease of intervention administration, the shape and spread of the territories were controlled. Means of the variables used in balancing the territories were assessed as well as other factors that were not used in the balancing process.
resultsThe analysis demonstrated that demographic characteristics did not differ significantly between the intervention and control territories created by the territory design software.
conclusionsThe creation of exchangeable territories diminishes geographically based impact on outcomes following community interventions in group-randomized trials. The method used to identify comparable geographical units may be applied to a wide range of population-based health intervention trials.
trial registrationNational Institutes of Health (Clinical Trials.gov), Identifier: NCT02607917 . Registered on 16 November 2015.
Indexed as
Identifiers
What OpenQuestion holds
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.