Weekly Self-Monitoring for Health Care Workers

How can researchers monitor health care workers’ mental health during a crisis, when they have the least time to spare?

A one-time survey captures how people feel at a particular moment. Repeated assessments can reveal how distress changes over several weeks, while feedback based on participants’ answers can also connect data collection with timely support.

During the first two waves of COVID-19, a research team in Quebec asked health care workers to check in on their own well-being once a week through Avicenna. Each weekly check-in took about five minutes. It covered anxiety, depression, and posttraumatic stress symptoms, along with exposure to COVID-19, social support, and quality of life. When a participant’s answers crossed a clinical threshold, the app provided immediate feedback and showed them where to find help.

The program was led by researchers at the Centre de recherche de l’Institut universitaire en santé mentale de Montréal and the Université de Montréal, with the Centre hospitalier de l’Université de Montréal (CHUM), across eight health and social services centers in Quebec. Between May 2020 and February 2021, 831 health care workers took part.

A weekly check-in can collect research data and support the people answering it at the same time.

Study at a Glance

Study feature Detail
Population Health care workers in 8 integrated health and social services centers in Quebec
Took part 831 health care workers
Data collection May 2020 to February 2021, during the first two waves of COVID-19
Monitoring period 12 weeks per participant
Check-ins 1 per week, about 5 minutes each
Reminders Every 12 hours until the check-in was completed
Validated measures GAD-7 (anxiety), PHQ-9 (depression), and an 8-item PCL-5 (posttraumatic stress), in French
Other questions COVID-19 exposure, perceived social support, and quality of life
Feedback A distress message and a list of resources when a score crossed its clinical threshold
Follow-up Questionnaire completed by 424 participants and 30 telephone interviews

How the Study Worked

Health care workers in the eight participating centers were invited to join. Those who participated installed Avicenna on their own smartphones. Participation was voluntary, and participants could enter a draw for one of forty CA$50 prepaid cards.

One Check-In a Week

Once a week for 12 weeks, Avicenna sent participants a notification asking them to complete their check-in. If they had not completed it, a reminder followed every 12 hours.

Each check-in combined three validated questionnaires with questions about the participant’s week:

  • Anxiety: the Generalized Anxiety Disorder-7 (GAD-7), with a clinical cutoff of 10
  • Depression: the Patient Health Questionnaire-9 (PHQ-9), with a clinical cutoff of 10
  • Posttraumatic stress: an abbreviated 8-item French version of the PTSD Checklist for DSM-5 (PCL-5), with a cutoff of 13
  • Context: exposure to COVID-19, perceived availability of social support, and perceived quality of life

The repeated assessments gave researchers a week-by-week record of participants’ symptoms and reported experiences.

Feedback Built Into the Check-In

The team did more than collect answers. They also used participants’ responses to provide feedback at the end of each check-in:

  • Below every threshold: the participant saw a list of available support resources.
  • At or above a threshold on any questionnaire: the participant first saw a message indicating elevated symptoms, followed by the list of resources.
  • Suicidal ideation: the next page showed the contact details of the regional helpline, and an automatic email went to the project coordinator, who followed up with the participant by phone.

These pathways connected self-monitoring with support resources. The questionnaire thresholds were screening indicators, not clinical diagnoses.

After the 12 Weeks

Between February and April 2021, participants were invited to complete a follow-up questionnaire about their experience. Thirty participants were randomly selected for individual telephone interviews lasting about 15 minutes.

Where Avicenna Fits

Avicenna provided the infrastructure for the weekly self-monitoring program. It was used to:

  • Deliver the weekly check-in on participants’ own smartphones
  • Send the weekly notification and 12-hour reminders
  • Present the validated questionnaires and context questions in French
  • Show messages and support resources based on each participant’s answers
  • Collect and store weekly responses for longitudinal analysis

By combining recurring questionnaires, reminders, conditional feedback, and data collection, the platform supported a single workflow with two purposes. For the research team, it produced repeated measures of distress across two pandemic waves. For participants, it provided a short, regular opportunity to reflect on their well-being, with support resources presented when their answers indicated elevated symptoms.

What Participants Took From It

Among the 424 participants who completed the follow-up questionnaire, mean adherence over the 12 weeks was 74.5%, and mean satisfaction was 8.0 out of 10. Of the 418 respondents who answered the self-awareness question, 305 (72.8%) said the app contributed moderately or a lot to their awareness of their own well-being.

Satisfaction and perceived improvements in self-awareness were associated with higher adherence, although these factors explained only a modest share of the differences in participants’ adherence.

The interviews helped explain how participants experienced the program. Most interviewees described the weekly check-in as a moment to pause and reflect on their own state, something they rarely made time for during the pandemic:

“I found that [using the app] had benefits, in the sense that it helped us to make certain realizations, that it helped us to take a moment to stop when it’s not always something we think about doing.”

Some participants were surprised by a distress message. Several described it as a “wake-up call” that prompted them to take action, such as consulting their physician, talking with family or colleagues, setting limits at work, or reducing their exposure to pandemic news. Others incorporated the check-in into a weekly routine:

“I always did it at the same time, after reading the newspaper on Saturday, and it was a bit of a retrospective of my week, part of my little ritual of taking care of myself.”

These accounts reflect participants’ reported experiences. They do not establish that the app itself caused improvements in mental health.

Quotes are from interview participants, as published in Khaldoun et al. (2025).

One Program, Several Analyses

The weekly data supported several analyses of how psychological distress developed over time.

Together, these publications show how a recurring data collection program can support several research questions, from symptom trajectories to participants’ experiences of self-monitoring.

Research Team

Steve Geoffrion, Ph.D.

Senior author of all four papers

Centre de recherche de l’Institut universitaire en santé mentale de Montréal

École de psychoéducation, Université de Montréal

Nicolas Bergeron, M.D.

Co-author of all four papers

Centre de recherche du Centre hospitalier de l’Université de Montréal

Département de psychiatrie et d’addictologie, Université de Montréal

Marie-Michèle Dufour

First author of the 2021 and 2022 distress trajectory analyses

École de psychoéducation, Université de Montréal

Filippo Rapisarda

First author of the 2023 analysis of short-term and longer-term distress

Research Centre, Institut universitaire en santé mentale de Montréal

Lydia Khaldoun, B.Sc.

First author of the 2025 user experience study

Centre de recherche de l’Institut universitaire en santé mentale de Montréal

École de psychoéducation, Université de Montréal

Publications

Planning a Similar Study?

Weekly self-monitoring like this program relies on a few building blocks. Surveys hold the validated questionnaires, and a Time Triggering Logic repeats the check-in every week for each participant’s Participation Period. Notifications send the weekly prompt and reminders. They can also email a member of the research team when a participant’s answers meet conditions defined with Criteria. Flow Control determines which questions and messages each participant sees based on their answers.

For studies involving several institutions or languages, Multi-Site Studies and Localization provide options for coordinating study setups across sites and languages. Responses can be exported as Raw Data for longitudinal analysis.

Explore Avicenna’s features and integrations or talk to our team to see how you can build your study protocol.