Media Highlights

Digital Medicine's March on Chronic Disease

Read the Article

Medication adherence is dead?

Read the Article

Ten Start-Ups Changing Healthcare

Read the Article

The Importance of Sticking To It

Read the Article

Three ways to reduce stress on the health-care system

Read the Article


Published: July 15, 2019

​Relative to the large investments in mobile health (mHealth) strategies for mental illnesses such as anxiety and depression, the development of technology to facilitate illness self-management for people with schizophrenia spectrum illnesses is limited. This situation falls out of step with the opportunity mHealth represents for providing inexpensive and accessible self-care resources and the routine use of mobile technologies by people with schizophrenia. Accordingly, the focus of this study was upon the feasibility of a schizophrenia-focused mobile application: App4Independence (A4i). A4i is a multi-feature app that uses feed, scheduling, and text-based functions co-designed with service users to enhance illness self-management. This study was completed in a large urban Canadian centre and employed pre-post assessments over a 1-month period that examined medication adherence, personal recovery, and psychiatric symptomatology. App use metrics were assessed as was qualitative feedback through semi-structured interview. Findings are reported in line with the World Health Organization mHealth Evidence and Assessment (mERA) checklist. Among the 38 individuals with a primary psychosis who participated, there was no research attrition and classic retention on the app was 52.5%. Significant improvement was observed in some psychiatric symptom domains with small-medium effects. Significant change in recovery engagement and medication adherence were not observed after controlling for multiple comparisons. Those who interacted with the app more frequently were more depressed and had higher hostility and interpersonal sensitivity at baseline. Satisfaction with the app was high and qualitative feedback provided insights regarding feature enhancements. This research suggested that A4i is feasible in terms of outcome and process indicators and is a technology that is ready to move on to clinical trial and validation testing. This study contributes to the small but emergent body of work investigating digital health approaches in severe mental illness populations.

Read the Article

Published: February 23, 2018

Evidence on the use of short message service (SMS) to improve medication adherence in people living with HIV (PLHIV) is mounting, yet qualitative research on patient perceptions regarding SMS content and utility for HIV/AIDS remains nascent. To explore the experience of receiving medication reminders via SMS among PLHIV, 45 uninsured and underinsured PLHIV nested within the intervention arm of a larger study received daily, 1-way SMS adherence reminders. Qualitative data were collected by face-to-face, structured interview and were analyzed using conventional content analysis methods. Three main themes emerged from the data: (1) reminders helping with adherence, (2) concerns about delivery modes, and (3) the need for confidentiality. Study findings offer enhanced focus on an emerging strategy in patient-centered HIV care: Equipped with greater context on the experiences of PLHIV using SMS adherence reminders, health-care providers can offer more targeted support and thereby maximize the benefits of this popular and powerful technology.


Read the Article



Literature Review and Whitepaper

The Lit Review of all things MEMOTEXT

Since 2011 various projects and research have been utilized MEMOTEXT technology or methodology. This literature review will include sections on all our texting programs, research trials and our mobile app.

Using Machine Learning to Design Precision Digital Engagement

This whitepaper outlines our methodology in a 6 step digital health engagement methodology for data mining. Learn more about our data driven approach to helping patients meet goals and sustaining change.