Additional file 2: of Is treatment-resistant schizophrenia categorically distinct from treatment-responsive schizophrenia? a systematic review

PRISMA CHECKLIST This additional file includes the PRISMA checklist for reporting systematic reviews; this has been completed for the current review, highlighting where in the review each item on the checklist is addressed. (DOCX 28 kb

Additional file 1: of Is treatment-resistant schizophrenia categorically distinct from treatment-responsive schizophrenia? a systematic review

Appendix I: Search Strategies [Search terms used for databases]. Appendix II: Data Extraction Form [Form used to extract data from included studies]. Appendix III: Quality Assessment Tool [Adapted Newcastle-Ottawa Scale used for quality assessment of studies]. Appendix IV: Excluded Studies [Table listing all studies which underwent full-text screening and were subsequently excluded, with reasons for exclusion]. Appendix V: Included Studies [Table of all included studies with key details – study design, sample size, country, definitions of treatment-resistance and response, variables measured, full results, and overall quality assessment score]. Appendix VI: Quality Assessment for Included Studies [Tables outlining full quality assessment scoring for each included study]. (DOCX 180 kb

A wearables-based Relapse-Prevention System for Schizophrenia

<p>Voted best poster of the ACM Digital Health 2015 conference (http://www.acm-digitalhealth.org).</p> <p> </p> <p>This poster presents  presents a new approach to targeted intervention and relapse prevention in</p> <p>schizophrenia. The system is based on implementing a wearable device and smartphone to collect</p> <p>real-time data off the patient. This data involves heart rate, actigraphy, ambient light as well as the</p> <p>amount of time the screen of the smartphone is unlocked. Utilising Purple Robot, a CBITS</p> <p>University of Northerwestern developed mobile application, the data will be sent from the phone to</p> <p>a secure server where a signal analysis pipeline deduces the likelihood of patients entering a</p> <p>relapse event according to their sleep quality. Should the likelihood be significant, the patient’s</p> <p>clinician will be notified to intervene.</p