Caryn Addonizio

Bio: Caryn Addonizio is an academic researcher from University of Tennessee. The author has contributed to research in topics: Psychological intervention & Psychiatric medication. The author has an hindex of 1, co-authored 1 publications receiving 46 citations.

Telepsychiatry in the Assessment and Treatment of Schizophrenia

Abstract: Background: Telehealth technology has become more available to providers as a means of treating chronic diseases. Consideration of the applicability of telehealth technology in the treatment of schizophrenia calls for a review of the evidence base in light of the special needs and challenges in the treatment of this population. Our aims are to assess the types and nature of distant interventions for patients with schizophrenia, either telephone-based, internet-based or video-based telehealth systems. Methods: The following databases—MEDLINE, PsycINFO, CINAHL, the Cochrane Library, the Cochrane Database of Systematic Reviews, the Database of Abstracts of Reviews of Effects, and EMBASE— were searched for the following terms alone or in combination with schizophrenia: telepsychiatry or telemedicine or telepsychology or satellite communication or remote communication. Inclusion criteria were: 1) articles dealing with telephone-, internet- or video-based interventions and 2) studies emphasizing development of an intervention, feasibility or clinical trials. Exclusions included were: 1) single case reports and 2) papers not written in English. With our search terms, we retrieved a total of 390 articles, of which 18 unique articles were relevant. Results: Based on the limited data available, the use of modalities involving the telephone, internet and videoconferencing appears to be feasible in patients with schizophrenia. In addition, preliminary evidence suggests these modalities appear to improve patient outcomes. Discussion: More research is needed. Investigators need to improve existing telehealth systems. In addition, researchers need to focus on developing newer interventions and determining whether these approaches can improve patient outcomes.

E–Mental Health Self-Management for Psychotic Disorders: State of the Art and Future Perspectives

Abstract: Online therapies, Web-based self-management systems, and Internet forums are rapidly becoming part of the mental health services repertoire, but can they be effective for individuals with psychotic disorders? This literature review indicates that people with psychotic disorders are able and willing to use e-health services. In fact, e-health interventions for this population are at least as effective as standard, non–technology-based care. Their greatest benefit, the authors said, may be to reduce health care costs for service providers as well as service users.

Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review

Abstract: Background: Medication adherence is critical to the effectiveness of psychopharmacologic therapy. Psychiatric disorders present special adherence considerations, notably an altered capacity for decision making and the increased street value of controlled substances. A wide range of interventions designed to improve adherence in mental health and substance use disorders have been studied; recently, many have incorporated information technology (eg, mobile phone apps, electronic pill dispensers, and telehealth). Many intervention components have been studied across different disorders. Furthermore, many interventions incorporate multiple components, making it difficult to evaluate the effect of individual components in isolation. Objective: The aim of this study was to conduct a systematic scoping review to develop a literature-driven, transdiagnostic taxonomic framework of technology-based medication adherence intervention and measurement components used in mental health and substance use disorders. Methods: This review was conducted based on a published protocol (PROSPERO: CRD42018067902) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses systematic review guidelines. We searched 7 electronic databases: MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials, Web of Science, Engineering Village, and ClinicalTrials.gov from January 2000 to September 2018. Overall, 2 reviewers independently conducted title and abstract screens, full-text screens, and data extraction. We included all studies that evaluate populations or individuals with a mental health or substance use disorder and contain at least 1 technology-delivered component (eg, website, mobile phone app, biosensor, or algorithm) designed to improve medication adherence or the measurement thereof. Given the wide variety of studied interventions, populations, and outcomes, we did not conduct a risk of bias assessment or quantitative meta-analysis. We developed a taxonomic framework for intervention classification and applied it to multicomponent interventions across mental health disorders. Results: The initial search identified 21,749 results; after screening, 127 included studies remained (Cohen kappa: 0.8, 95% CI 0.72-0.87). Major intervention component categories include reminders, support messages, social support engagement, care team contact capabilities, data feedback, psychoeducation, adherence-based psychotherapy, remote care delivery, secure medication storage, and contingency management. Adherence measurement components include self-reports, remote direct visualization, fully automated computer vision algorithms, biosensors, smart pill bottles, ingestible sensors, pill counts, and utilization measures. Intervention modalities include short messaging service, mobile phone apps, websites, and interactive voice response. We provide graphical representations of intervention component categories and an element-wise breakdown of multicomponent interventions. Conclusions: Many technology-based medication adherence and monitoring interventions have been studied across psychiatric disease contexts. Interventions that are useful in one psychiatric disorder may be useful in other disorders, and further research is necessary to elucidate the specific effects of individual intervention components. Our framework is directly developed from the substance use disorder and mental health treatment literature and allows for transdiagnostic comparisons and an organized conceptual mapping of interventions.