Diabetes care guided by quality indicators: A cost-effectiveness analysis in the Brazilian public health system

Clicks: 16
ID: 321755
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #71 of 125 articles by views in International journal for quality in health care : journal of the International Society for Quality in Health Care

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 125 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
BACKGROUND: Diabetes mellitus (DM) is one of the most common non-communicable diseases worldwide and is associated with a substantial increase in the healthcare burden due to high rates of morbidity, mortality, and long-term complications. Evidence on the economic impact of quality of care for diabetes management based on structured assessment indicators in real-world primary care settings is scarce. This study aimed to evaluate the cost-effectiveness of providing qualified care to individuals with diabetes in primary healthcare settings based on quality-of-care indicators. METHODS: A cost-effectiveness analysis was conducted using a Markov-based model from the perspective of a municipal health manager in Brazil. Data were collected from 114 patients aged 60 years or older with type 2 diabetes mellitus in Vitória da Conquista. Patients were grouped based on whether 15 or more structured quality-of-care indicators were assessed during follow-up visits. The model simulated health state transitions over a 10-year time horizon, incorporating probabilities of complications, quality-adjusted life years (QALYs), and direct costs. Sensitivity and probabilistic analyses were performed to test model robustness. RESULTS: Data mining techniques were used to find a better association between the assessed items and a lower probability of having complications. It was found that in the group with 15 or more items assessed at visits, 17.4% had complications, and in the group with fewer than 15 items assessed, this percentage was 37.14%. Therefore, they were used as comparators in the economic model. The cost-effectiveness analysis showed that the most comprehensive assessment was the dominant strategy, with an incremental cost-effectiveness ratio of -US$9742.51. The factors that most influenced the model were quality-adjusted life years, the probability of experiencing complications, and the cost of diabetes. CONCLUSION: Qualified care with a comprehensive approach during follow-up visits was shown to be a cost-effective strategy for improving the quality of life of people with DM.
Reference Key
openalex_W7169884964 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yasmin Vitória Andrade de Castro Alves, Márcio Galvão de Oliveira, Leonardo Régis Leira Pereira, Lara de Souza Oliveira, Priscila Ribeiro Castro, Erlan Canguçu Aguiar, Pablo Maciel Moreira, Sóstenes Mistro
Journal International journal for quality in health care : journal of the International Society for Quality in Health Care
Year 2026
DOI
10.1093/intqhc/mzag098
URL
https://doi.org/10.1093/intqhc/mzag098
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.