ABSTRACT
Drug addiction is a rising concern globally that has deeply attracted the attention of the healthcare sector. The United States is not an exception, and the drug addiction crisis there is even more serious, with 10% of adults having faced substance use disorder, while around 75% of this number has been reported as not having received any treatment. Surprisingly, there are annually over 70,000 deaths reported as being due to drug overdose. Researchers are continually searching for solutions, as the current strategies have been ineffective. Health informatics platforms like electronic health records, telemedicine, and the clinical decision support system have great potential in tracking the healthcare data of patients on an individual basis and provide precise medical support in a private space. Such technologies have been found to be useful in identifying the risk factors of drug addiction among people and mitigating them. Moreover, the platforms can be used to check prescriptions of addictive drugs such as opioids and caution healthcare providers. Programs such as the Prescription Drug Monitoring Program (PDMP) and the Drug and Alcohol Services Information Systems (DASIS) are already in action in the US, but the situation demands more in-depth studies in order to mitigate substance use disorders. Artificial intelligence (AI), when combined with health informatics, can aid in the analysis of large amounts of patient data and aid in classifying nature of addiction to assist in the provision of personalized care.
ABSTRACT
BACKGROUND: Anxiety in late-life is a frequently encountered condition. The aim of this review is to systematically examine the efficacy and tolerability of antidepressants for treating anxiety disorders among older adults. METHODS: Electronic searches of The Cochrane Central Register of Controlled Trials and the standard bibliographic databases PubMed, MEDLINE, EMBASE, and PsycINFO were performed in August 2018 and updated in October 2018 for randomized controlled trials (RCTs) evaluating antidepressants for late-life anxiety. The quality of each study was appraised using criteria developed by the Centre for Evidence-Based Medicine. RESULTS: Data from 12 papers describing 10 RCTs of antidepressants for late-life anxiety are included in this review. There were 2 studies each of sertraline, escitalopram, and duloxetine, and 1 study each of citalopram, paroxetine, venlafaxine, and imipramine. Across all trials, antidepressants were associated with a significant reduction in anxiety symptoms at the end of the study period. Limitations of the trials include a preponderance of generalized anxiety disorder and relatively less data on other anxiety disorders, and limited data on long-term use of antidepressants for anxiety. CONCLUSIONS: Antidepressants are beneficial for treating anxiety disorders in late life and are generally well tolerated.
