ArticlePreventive medicine reports2024
Impact of community health workers on diabetes management in an urban United States Community with high diabetes burden through the COVID pandemic.
Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Ecological assessment of extreme temperature and fine particulate matter (pm2.5) impact on diabetes service and outcomes in Thailand.BMC public health · 2025Article
- The effectiveness of a community-based online low-glycaemic index diet and lifestyle recommendations intervention for people with type 2 diabetes: a randomized controlled trial.Archives of public health = Archives belges de sante publique · 2025Article
- Patients' Perspectives on Social Barriers to Care and the Acceptability and Impact of a Community Health Worker Program in Outpatient Ophthalmology.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
- Being part of change: partner perspectives on capacity building in a long-term community-engaged health equity initiative.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Community Health Worker (CHW) interventions are promising approaches to increasing access to health care, garnering better health outcomes, and decreasing health inequities for historically marginalized populations. This study examines the impact of a health system-based CHW program embedded in the Diabetes Impact Project - Indianapolis Neighborhoods (DIP-IN), a large, place-based, multi-year intervention to reduce diabetes burden. We assessed the CHW program's effectiveness in managing glucose control and reducing diabetes-associated complications across the COVID timeline. Methods: We examined the association between the CHW intervention and diabetes management in 454 CHW patients and 1,020 propensity score-matched comparison patients Results: Participation was associated with a significant reduction (-0.54-unit (95 % CI: -0.73, -0.35) in glycosylated hemoglobin (A1C) on average over time that was beyond the change observed among comparison patients, higher odds of having ≥ 2 A1C measures in a year (OR = 2.32, 95 % CI: 1.79, 3.00), lower odds of ED visits (OR: 0.88; 95 % CI: 0.73, 1.05), and lower odds of hospital admission (OR: 0.81; 95 % CI: 0.60,1.09). When analyses were restricted to a pre-pandemic timeframe, the pattern of results were similar. Conclusion: This program was effective in improving diabetes management among patients living in diabetes-burdened communities, and the effects were persistent throughout the pandemic timeline. CHW programs offer crucial reinforcement for diabetes management during periods when routine healthcare access is constrained.
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.