ArticleEuropean journal of hospital pharmacy : science and practice2018
Predictors of primary non-adherence to concomitant chronic treatment in HIV-infected patients with antiretroviral therapy.
Article in European journal of hospital pharmacy : science and practice, 2018. 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, 4 citations in OpenAlex.
- Barriers and facilitators to maintaining a high level of polypharmacy adherence in people living with HIV: A scoping review.Frontiers in pharmacology · 2023Article
- Evaluation of the Sociodemographic, Behavioral and Clinical Influences on Complete Antiretroviral Therapy Adherence Among HIV-Infected Adults Receiving Medical Care in Houston, Texas.HIV/AIDS (Auckland, N.Z.) · 2021Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo identify the independent risk factors of primary non-adherence to chronic concomitant treatment in HIV-positive patients, and to measure primary and secondary non-adherence rates to chronic treatments, and secondary non-adherence to antiretroviral therapy and the prevalence of concomitant chronic diseases.
methodsWe conducted a retrospective study that included HIV-infected patients with antiretroviral treatmentwho attended the pharmaceutical care office between January and December 2012. The dependent variable was primary non-adherence to concomitant prescription drugs for chronic diseases. To know the predictors of concomitant primary non-adherence, we performed a univariate analysis and a multivariate binary logistic regression model to identify the independent predictors of primary non-adherence to co-medication.
resultsOut of 598 patients analysed, 333 patients had a new co-medication prescribed during the studied period. The number of comorbidities per patient was 2.3 and the patients were treated with an average of 3.4 drugs. The rates of primary and secondary non-adherence to co-medication were 8.4% and 44.4%, respectively. The co-occurrence of primary and secondary non-adherence was 24.9%. The number of comorbidities (p=0.001) and co-medications (p=0.001) was significantly higher in patients who had primary non-adherence to co-medication. Furthermore, there was a statistically significant relationship between primary non-adherence and patients treated with psychotropic drugs (p=0.03). The multivariate analysis showed the independent predictor of primary non-adherence to co-medication was the number of co-medications (p<0.001).
conclusionOne-third of new concomitant medications prescribed to HIV-positive patients were never filled from the pharmacy. The number of co-medications was identified as a predictor of primary non-adherence to chronic concomitant treatment in HIV-infected population.
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.