Combining digital tools in primary care with community outreach, a co-designed approach for preventative cancer screening in East Toronto
Notice bibliographique
Résumé
Background: East Toronto Health Partners (ETHP) Ontario Health Team serves 400,000 people, with a population consisting of 50% immigrants. There is significant variation in cancer screening rates across our 2 different neighbourhoods, in which neighbourhoods with higher rates of newcomers and lower-socioeconomic status have 5-25% lower cancer screening rates. Analysis shows the key barriers for our underserved populations include difficulty accessing services, language constraints, and lack of knowledge about the importance of screening. Demographics and culture also play a role in health practices and there is a need to address misinformation about screening. Approach: In 2023, ETHP worked with eHealth Center of Excellence to create and launch;Poppy-bot- a robotic process automation tool that uses primary care electronic medical records (EMRs) to identify and segment people who are due or overdue for screening. With an equity perspective we segmented people by postal code and language in order to build targeted outreach and access to screening. In East Toronto, Poppy-bot has identified over 5,000 people for screening.Flemingdon Health Centre (FHC), is located in the middle of two underserved neighbourhoods with lower cancer screening rates. FHC is also the lead agency for our multi-agency, peer-based, community health ambassadors (CHA) program, which hires local residents from equity-deserving neighbourhoods to act as peer support and outreach workers. These CHAs are a highly effective at bridging the gaps that disproportionately impact our communities.ETHP was inspired to combine the strengths of two separate initiatives to address cancer screening rates by ) using Poppy-bot to flag people due for cancer screening with 2) our CHAs to conduct targeted outreach to residents in communities with lower cancer screening rates.Given the cultural sensitivity needed for outreach to different communities, we worked with CHAs and community members to co-design educational material. Through focus groups and workshops, we leveraged behavioral science, conversational receptiveness and motivational interviewing. Engaging consultants from Behavioural Insights Team and Health Commons Solution Lab, we co-designed a Cancer Screening Guide used by the CHAs to have conversations with community members in Arabic, Bengali, Dari, Pashto, Slovak, and Urdu.Using lists of individuals generated by Poppy-bot and segmented by language, CHAs had 5 training sessions around communications and cultural competency and used the guide to call individuals to discuss the importance of cancer screening. CHAs explained how to get a screening completed, what to expect at the screening and how to interpret results when they are available. Access to nursing staff was available if the CHAs needed. Results: The team received an innovation award (from MARS Canadian Cancer Society) which helped fund the creation of the Cancer Screening Guide, which will be shared for use in other jurisdictions. This project demonstrated the success of combining digital tools in primary care with community outreach to make an impact to local communities. Over a month period, CHAs had one-to-one conversations with 375 individuals. Implications: ETHP further learned the value of co-designing outreach and education materials with community members to help shape and build programming.While the calls were focused on cancer screening, residents also had other health-related questions. The learning from this process is enabling us to further develop the CHA program, including understanding barriers to access for community members and how to support difficult conversations about health issues within our diverse communities.Person contacted by a CHA testimonial: It was helpful to be reminded of the fact that I was due for screening. They talked to me about the specific test I needed and answered my questions. Usually other doctors offices don't even call you or tell you that you are due, so I appreciated it.
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| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
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| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
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