ArticleBMC public health2026
Usability, acceptability, and perceived relevance of the observatory of chronic health conditions of Santa Catarina: a formative evaluation.
Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundThe Observatory of Chronic Health Conditions when based on a comprehensive and detailed view of the population’s health status. In this way the Observatory enables the identification of trends, the evaluation of intervention effectiveness, and the early detection of potential outbreaks or worsening of chronic conditions.
aimTo evaluate an Observatory of Chronic Health Conditions to ensure the usability, acceptability, and perceived relevance, relevance, and utility of the collected data, facilitating continuous monitoring and decision-making for health managers.
methodsThis technological research was evaluated by 470 people with different user profiles. Data collection was conducted using a structured questionnaire, employing a five-point Likert scale. Statistical analysis of the data was performed using variance analysis.
resultsThe evaluation involved various profiles, resulting in positive feedback regarding the platform’s utility and facility. The data were analyzed and categorized, revealing distinct perceptions among participant groups and their implications for Sustainable Development.
conclusionsThe observatory allows for a detailed analysis of the population’s health status, facilitating evidence-based interventions and contributing to effective public policies, thereby supporting the Sustainable Development Goals.
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.