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| Title |
Medication nonadherence among South American patients with schizophrenia
|
|---|---|
| Published in |
Patient preference and adherence, October 2017
|
| DOI | 10.2147/ppa.s144961 |
| Pubmed ID | |
| Authors |
Alejandra Caqueo-Urízar, Alfonso Urzúa, Guillaume Fond, Laurent Boyer |
| Abstract |
The objective of this research was to quantify nonadherence to medication and explore the determinants of nonadherence in patients diagnosed with schizophrenia (SZ) from three countries in Latin America (Bolivia, Peru, and Chile). This study was conducted in public mental health centers in Bolivia, Peru, and Chile. The data collected included drug attitude inventory (DAI-10), sociodemographic information, and clinical and treatment characteristics of patients with SZ. Multivariate analysis with multiple linear regression was then performed to identify variables that were potentially associated with the DAI score (dependent variable). Two hundred and fifty-three patients diagnosed with SZ participated in the study and 247 fully completed the DAI-10. In the multivariate analysis, medication nonadherence was associated with being a woman (β=-0.16, p=0.029), younger age (β=0.17, p=0.020), younger age at onset of disease (β=-0.17, p=0.019), and lower insight (β=-0.30, p<0.001). Being a female, younger age, younger age at onset of disease, and lower insight were the main features associated with nonadherence. If future longitudinal studies confirm these findings, these factors should not be neglected in Latin American mental health public policies to address the problem of nonadherence. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 11% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Unspecified | 2 | 4% |
| Lecturer | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 27 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 8 | 15% |
| Psychology | 6 | 11% |
| Computer Science | 3 | 6% |
| Unspecified | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 27 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Patient preference and adherence
#1,648
of 1,757 outputs
Outputs of similar age
#291,092
of 331,218 outputs
Outputs of similar age from Patient preference and adherence
#32
of 34 outputs
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.