Compliance With Antidepressant Medication Among Prison Inmates With Depressive Disorders

2000 ◽  
Vol 51 (11) ◽  
pp. 1444-1446 ◽  
Author(s):  
Jacques Baillargeon ◽  
Salvador Contreras ◽  
James J. Grady ◽  
Sandra A. Black ◽  
Owen Murray
2002 ◽  
Author(s):  
Jacques Baillargeon ◽  
Salvador Contreras ◽  
James J. Grady ◽  
Sandra A. Black ◽  
Owen Murray

1999 ◽  
Vol 14 (2) ◽  
pp. 93-100
Author(s):  
J. Catteau ◽  
C. Cyran ◽  
R. Bordet ◽  
C.E. Thomas ◽  
B.A. Dupuis

SummaryThe goal of this prospective investigation was to study the course and the quality of patient-psychiatrist relationships during phase II / phase III clinical trials of antidepressant medication prescribed for depressive disorders. All patients who participated in the clinical trials (and subsequently in this survey) signed written informed consent statements and were subject to random double blind treatment assignment. Retrospective analysis of 118 investigations was carried out, and the patients involved were questioned concerning their experiences and impressions during and after the study. Data show that the outcome of clinical trials of antidepressant drugs are not a function of pre-existing good patient-psychiatrist relationships. On the other hand, no effects on the patient-psychiatrist relationship were found as a result of the experimental procedure, and it can be concluded that no detrimental effects on future patient-psychiatrist relationships were incurred.


10.2196/20920 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e20920
Author(s):  
Angela Leis ◽  
Francesco Ronzano ◽  
Miguel Angel Mayer ◽  
Laura I Furlong ◽  
Ferran Sanz

Background Depressive disorders are the most common mental illnesses, and they constitute the leading cause of disability worldwide. Selective serotonin reuptake inhibitors (SSRIs) are the most commonly prescribed drugs for the treatment of depressive disorders. Some people share information about their experiences with antidepressants on social media platforms such as Twitter. Analysis of the messages posted by Twitter users under SSRI treatment can yield useful information on how these antidepressants affect users’ behavior. Objective This study aims to compare the behavioral and linguistic characteristics of the tweets posted while users were likely to be under SSRI treatment, in comparison to the tweets posted by the same users when they were less likely to be taking this medication. Methods In the first step, the timelines of Twitter users mentioning SSRI antidepressants in their tweets were selected using a list of 128 generic and brand names of SSRIs. In the second step, two datasets of tweets were created, the in-treatment dataset (made up of the tweets posted throughout the 30 days after mentioning an SSRI) and the unknown-treatment dataset (made up of tweets posted more than 90 days before or more than 90 days after any tweet mentioning an SSRI). For each user, the changes in behavioral and linguistic features between the tweets classified in these two datasets were analyzed. 186 users and their timelines with 668,842 tweets were finally included in the study. Results The number of tweets generated per day by the users when they were in treatment was higher than it was when they were in the unknown-treatment period (P=.001). When the users were in treatment, the mean percentage of tweets posted during the daytime (from 8 AM to midnight) increased in comparison to the unknown-treatment period (P=.002). The number of characters and words per tweet was higher when the users were in treatment (P=.03 and P=.02, respectively). Regarding linguistic features, the percentage of pronouns that were first-person singular was higher when users were in treatment (P=.008). Conclusions Behavioral and linguistic changes have been detected when users with depression are taking antidepressant medication. These features can provide interesting insights for monitoring the evolution of this disease, as well as offering additional information related to treatment adherence. This information may be especially useful in patients who are receiving long-term treatments such as people suffering from depression.


2017 ◽  
Vol 34 (3) ◽  
pp. 197-204 ◽  
Author(s):  
D. Aherne ◽  
A. Fitzgerald ◽  
C. Aherne ◽  
N. Fitzgerald ◽  
M. Slattery ◽  
...  

ObjectivesThis study aims to investigate existing evidence for the effectiveness of psychological treatments and/or antidepressant medication as a treatment for those diagnosed with moderate levels of depression.MethodsA PRISMA systematic review of articles using electronic research databases (2000–2014) was conducted to identify studies investigating the effectiveness of psychotherapy and/or medication as a treatment for people with moderate levels of depression. Search terms included moderate depression, psychotherapy and/or medication, depressive disorders, antidepressants, psychotherapy, mental health services, and randomized-controlled trial (RCT). The included studies were then assessed, extracted, and synthesised.ResultsA total of 14 studies met the inclusion criteria (11 RCTs and three additional studies) for this review. The findings of the systematic review indicate that there is limited evidence available specific to the treatment of moderate depression and that this research seems to suggest that psychotherapy or combined treatment has a beneficial effect.ConclusionsGiven that depression is one of the biggest challenges the world faces at present, further research is required to examine the effectiveness of treatment for different levels of depression severity.


2001 ◽  
Vol 63 (1-3) ◽  
pp. 225-231 ◽  
Author(s):  
Jacques Baillargeon ◽  
Sandra A Black ◽  
Salvador Contreras ◽  
James Grady ◽  
John Pulvino

2020 ◽  
Author(s):  
Angela Leis ◽  
Francesco Ronzano ◽  
Miguel Angel Mayer ◽  
Laura I Furlong ◽  
Ferran Sanz

BACKGROUND Depressive disorders are the most common mental illnesses, and they constitute the leading cause of disability worldwide. Selective serotonin reuptake inhibitors (SSRIs) are the most commonly prescribed drugs for the treatment of depressive disorders. Some people share information about their experiences with antidepressants on social media platforms such as Twitter. Analysis of the messages posted by Twitter users under SSRI treatment can yield useful information on how these antidepressants affect users’ behavior. OBJECTIVE This study aims to compare the behavioral and linguistic characteristics of the tweets posted while users were likely to be under SSRI treatment, in comparison to the tweets posted by the same users when they were less likely to be taking this medication. METHODS In the first step, the timelines of Twitter users mentioning SSRI antidepressants in their tweets were selected using a list of 128 generic and brand names of SSRIs. In the second step, two datasets of tweets were created, the <i>in-treatment</i> dataset (made up of the tweets posted throughout the 30 days after mentioning an SSRI) and the <i>unknown-treatment</i> dataset (made up of tweets posted more than 90 days before or more than 90 days after any tweet mentioning an SSRI). For each user, the changes in behavioral and linguistic features between the tweets classified in these two datasets were analyzed. 186 users and their timelines with 668,842 tweets were finally included in the study. RESULTS The number of tweets generated per day by the users when they were in treatment was higher than it was when they were in the <i>unknown-treatment</i> period (<i>P=</i>.001). When the users were in treatment, the mean percentage of tweets posted during the daytime (from 8 AM to midnight) increased in comparison to the <i>unknown-treatment</i> period (<i>P</i>=.002). The number of characters and words per tweet was higher when the users were in treatment (<i>P=</i>.03 and <i>P</i>=.02, respectively). Regarding linguistic features, the percentage of pronouns that were first-person singular was higher when users were in treatment (<i>P=</i>.008). CONCLUSIONS Behavioral and linguistic changes have been detected when users with depression are taking antidepressant medication. These features can provide interesting insights for monitoring the evolution of this disease, as well as offering additional information related to treatment adherence. This information may be especially useful in patients who are receiving long-term treatments such as people suffering from depression.


2018 ◽  
Vol 69 (3) ◽  
pp. 621-626
Author(s):  
Luminita Ageu ◽  
Cristina Talpos ◽  
Ghizela Kanalas ◽  
Simina Crisan ◽  
Carmen Lacramioara Zamfir ◽  
...  

We approach the theme of modern investigation and treatment strategies, based on biochemical, clinical-biological, metabolic, pharmacogenetic, neuro-imagistic, and neuroendocrine integrative correlations in the management of depressive disorders. Our main objective was to investigate: the biochemical brain metabolites [N-acetyl-aspartate (NAA), gamma-aminobutyric acid (GABA), aspartate (Asp), creatine (CR), glutamine (Gln), glicerophosphocholine (GPC), phosphocholine (PC), phosphocreatine (PCr), taurine (Tau), N-methyl-D-aspartate (N-MDA), serine, glycine, choline (Cho)]; the neuroimagistic and neurobiological markers and the metabolic abnormalities in correlation with the molecular pharmacogenetic testing in children and adolescents treated with antidepressant medication. Our research was conducted between 2009-2016 on 90 children and adolescents with depressive disorders -45 children-G1, who benefited of pharmacogenetic testing tailored pharmacotherapy, and 45 without pharmacogenetic testing-G2. The patients were also evaluated by MR spectroscopy at baseline and after pharmacotherapy. The efficacy of the chosen therapy in correlation with the pharmacogenetic testing was evaluated by the mean change in the CDRS (Child Depression Rating Scale) total scores, in the CGI-S/I (Clinical Global Impression Severity/Improvement), CGAS (Clinical Global Assessment of Functioning) and by the change of the relevant neurobiological markers and MR spectroscopy biochemical brain metabolites. Our results showed statistically significant differences in the clinical scores between the studied groups. Our research could represent a proof that the biochemical brain metabolites registered in depressive disorders modified values in the MR spectroscopy and the administration of antidepressants could determine metabolic and neuroendocrine abnormalities (changed lipid profiles, high insulin and plasma glucose levels, weight gain, obesity), especially when chosen without prior pharmacogenetic testing.


2012 ◽  
Vol 2 (2) ◽  
pp. e79-e79 ◽  
Author(s):  
N Vogelzangs ◽  
H E Duivis ◽  
A T F Beekman ◽  
C Kluft ◽  
J Neuteboom ◽  
...  

2015 ◽  
Vol 12 (S1) ◽  
pp. S-3-S-6
Author(s):  
P. Majumder ◽  
I. Sharma ◽  
P. Vostanis ◽  
C. Bone

We investigated the efficacy of aerobic exercise alongside antidepressant medication as an adjuvant maintenance treatment for depression. Fifty patients in remission were randomly assigned to either medication only or medication plus exercise. Assessment of psychopathology was made at 6-weekly intervals (for 24 weeks) using the Hamilton Rating Scale for Depression. The medication-plus-exercise group showed significantly more improvement at 12 and 24 weeks than the medication-only group. This study adds to a growing evidence base that suggests aerobic exercise is worthy of further development in the treatment of depressive disorders.


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