ArticleInternational journal of public health2025
Mapping the Dynamic Complexity of Hypertension Management in São Paulo, Brazil.
Article in International journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Hypertension management in São Paulo: insights from a computational simulation approach.Lancet regional health. Americas · 2026Article
- A realist review to understand the complexity of effective management of type 2 diabetes and hypertension.Public health reviews · 2026Review
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
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Hypertension is a major cardiovascular risk factor in Brazil and globally, requiring effective healthcare system strategies. This study examines how the health system in São Paulo manages hypertension, identifying patterns and connections that influence patient outcomes and resource use. Methods: Using literature reviews and participatory discussions with experts, we developed a systems map, causal loop diagram, to illustrate dynamic complexity underpinning hypertension management. Thematic analysis of qualitative data informed the model, highlighting key interactions that shape screening, treatment, and long-term care. Results: The analysis reveals critical dynamics at individual, community, and system levels. Early diagnosis and expanded treatment access improve adherence and reduce complications. However, these improvements also increase the number of patients needing long-term care. This creates a challenge where healthcare gains today can raise future demands if prevention efforts are underfunded. Conclusion: Understanding these interconnections is crucial for balancing treatment expansion with sustainable prevention strategies. By mapping system-wide challenges, this study offers a framework to help policymakers allocate resources more effectively and strengthen urban health systems. Future research will focus on using simulation modeling to test policy interventions and improve hypertension outcomes.
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.