ArticleFrontiers in pharmacology2019
The Use of Assessment of Chronic Illness Care Technology to Evaluate the Institutional Capacity for HIV/AIDS Management.
Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 3 citations in OpenAlex.
- Assessment of the Perception of People Living With HIV Regarding the Quality of Outpatient Care at a Reference Facility in the Federal District, Brazil.Frontiers in pharmacology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The effectiveness of antiretroviral therapy has rendered HIV infection a manageable chronic condition. Currently, the health systems face the challenge of adopting organizational healthcare models capable of ensuring the delivery of comprehensive care. The Chronic Care Model has been reported for its effectiveness, particularly in terms of delivery system design. In this study, the Assessment of Chronic Illness Care (ACIC) questionnaire, a soft technology widely used for other chronic conditions, was employed on a teaching hospital to evaluate healthcare provided to people living with HIV/AIDS. The ACIC technology is a self-explanatory instrument which diagnoses, among the six components of the Chronic Care Model Framework, areas for quality improvements, indicating at the same time, intervention strategies and achievements. These components are
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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.