Our study aims to develop new methods of including patient-generated data in a team-based primary care clinic.
Examples of patient-generated data are measures that ask patients about their experience with their care teams, and about their quality of life.
We specifically looked at measures that focus on mental health. Using a knowledge sharing approach (integrated knowledge translation), we explored new methods as to how this patient-generated data could be completed, accessed, and used by patients and their care team.
For our study, the patient’s care team included a doctor, nurse, social worker, and medical office assistant. We created a set of scenarios to show how patient-generated data can support decisions with the care team. The scenarios were discussed with healthcare providers and patient partners to understand how to integrate patient-generated data into team-based clinic processes.
Working with our industry partner and patient partners, we co-developed an online patient-centred platform (i.e. portal) that was specific to our study. We worked with the providers and patient partners in selecting the measures for the portal.
The portal contained two patient-reported outcome measures (PROMs) for mental health (e.g., GAD-7, PHQ-9) and one for self-efficacy (PROMIS® self-efficacy), a patient-reported experience measure, and a depression self-action plan. We also incorporated over thirty articles on evidence-based mental health online educational resources, as well as information on local programs and services.
Our patient partners selected the material, reviewed the articles, and tested the portal.
Patients and providers used the portal for four months. We interviewed them over this time-period to support further iterations of the portal and integration of patient-generated data into team-based care. We asked patients and healthcare providers about how they could use these measures to improve communication and decision making during care visits and manage care between visits.
The data we have gathered are in the form of documents, interviews, healthcare provider team discussions, care workflow diagrams, and team-based scenario maps. Our analysis of the data resulted in a narrative summary.
The final output will be in the form of an online guidance document (in development at PCMinTBC.uvic.ca) that is accessible to patients, healthcare providers, quality improvement analysts, decision-makers, researchers, and technical staff. The guide will provide information on how patient-generated data can be integrated into team-based primary care using digital health technologies for patients and providers.
We conceptualized five team-based PCM methods through this study:
The adoption of team-based primary care within Patient Medical Homes provides an opportunity to conceptualize team-based PCM methods in new ways to advance patient-oriented research and patient-centered care.
More information about our study is available at PCMinTBC.uvic.ca
Antonio, M.G., Davis, S., Smith, M. Burgener, P., Price, M., Lavallee, D., Fletcher, S., & Lau, F., (2022). Advancing digital patient-centered measurement methods for team-based care. SAGE Digital Health. https://doi.org/10.1177/20552076221145420
Davis S, Antonio M, Smith M, Burgener P, Lavallee DC, Price M, Fletcher SC, Lau F. Paving the way for electronic patient-centred measurement in team-based primary care: an integrated knowledge translation approach. JMIR Formative Research. 30/12/2021:33584 https://preprints.jmir.org/preprint/33584/accepted
Sept 2021: Patient Advisory Committee of the KB Division of Family Practice/Interior Health Collaborative Services Committee
Sept 2021: Methods Matters Webinar (see below)
Francis Lau, co-PI
Selena Davis, co-PI ✉︎
Marcy Antonio, co-I ✉︎
Mindy Smith
Paul Burgener
Morgan Price
Danielle Lavallee
Sarah Fletcher
Bruce Forde
Leila Dale
Watch the featured animation & two snack-size highlights:
Duration: 5:41
Duration: 1:00
Duration: 2:26
Watch the full webinar:
Duration: 56:02
After the webinar, our team reviewed and answered all questions from the live Q&A.
Download a PDF of our responses.