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Record W4404048090 · doi:10.1186/s40900-024-00652-5

Am I attached? A patient-partnered approach to creating infographics about attachment to primary care in Ontario, Canada

2024· article· en· W4404048090 on OpenAlexafffundabout
Maggie MacNeil, Aya Tagami, Peter Sheffield, Vivian R. Ramsden, Joan Barker, Jennifer Boyle, Clare Cruickshank, Eliot Frymire, Richard H. Glazier, Anita Gombos Hill, Michael Green, Mary Huang, Marijke Jurriaans, Caron Leid, Melissa McCallum, Sarah Precious, Jo-Ann Stans, Julie Vizza, Murray Walz, Rebecca Ganann

Bibliographic record

VenueResearch Involvement and Engagement · 2024
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsCollege of Family Physicians of CanadaOntario Tech UniversityInstitute for Clinical Evaluative SciencesMcMaster UniversityQueen's UniversityUniversity of SaskatchewanHamilton Health SciencesUniversity of Toronto
FundersOntario Ministry of Health and Long-Term CareCanadian Institutes of Health ResearchOntario SPOR SUPPORT Unit
KeywordsInfographicPrimary careNursingMedicineMedical educationPublic relationsPsychologyPolitical scienceComputer scienceFamily medicine

Abstract

fetched live from OpenAlex

Having a primary care provider is associated with better care experiences and lower care costs. In 2021, INSPIRE-PHC released Primary Care Data Reports - publicly available summaries of administrative billing data about how populations in each of Ontario’s 60 health teams use primary care services. Given the characterization of Canadian primary care systems as ‘in crisis’, publicly available data about primary care at the regional level presented a significant opportunity for knowledge mobilization. An understandable resource could ground the public conversation about primary care access in data. Recognizing the role that lived experience plays in ensuring the public understands research findings, a partnership between patient advisors, Ontario Health Team representatives, researchers, and trainees was established to co-produce public-facing infographics based on primary care data. Evidence-based guidelines for public health infographic creation and elements of transformative action research guided a six-meeting process to engage up to 14 patient advisors, three Ontario Health Team staff and two primary care trainees. Patient advisors were affiliated with a provincial patient-oriented primary health care research group or a Hamilton-based Ontario Health Team. Ninety-minute meetings were conducted virtually, and notes were shared with attendees to ensure they accurately reflected the conversation. Two consultations with Ontario Health Team-affiliated primary care providers provided direction and ensured project outputs aligned with local priorities. Project partners shared feedback on draft infographics, audience identification, priority elements from Primary Care Data Reports to include in the infographics, and aesthetic features (e.g., headings, colour scheme, charts). Project partners felt the most important metrics to convey to the public were those that simultaneously reinforced the benefits of primary care on individual health outcomes and health system costs. Patient engagement in research is becoming widespread, but co-developing knowledge products with patient and health system partners is less common. Our approach to engaging patients prevented both oversimplification and unnecessary complexity in a public-facing visual about attachment to primary care. Primary care is the first point of contact for patients accessing the health care system. Primary care providers (i.e., family doctors and nurse practitioners – working individually or in teams of nurses, dieticians, pharmacists, social workers and others) – help patients and families manage health concerns over time by working to prevent, diagnose, and treat illnesses and link patients with specialist care when needed. Having a primary care provider is associated with better healthcare experiences and lower costs of care. In 2021, the Primary Care Data Reports were released to the public. The reports contain administrative data about how patients engage with primary care in each of the 58 Ontario Health Teams. Patient advisors, Ontario Health Team representatives, researchers, and trainees created an infographic to share this data in a way that can be understood by everyone. Infographics use images to help people process information faster, which can make health-related topics easier to understand. By understanding the value of primary care, people can participate in conversations about how to ensure primary care is accessible to everyone. Engaging patients is becoming common in research, but collaborating with patient advisors and health system partners to create visual summaries is less common. We had six virtual meetings that were 90 min each with up to 14 patient advisors, Ontario Health Team representatives, researchers and trainees. Patient advisors helped decide who the audience would be, which information from the Primary Care Data Reports to include, and how the infographic would look. Patient advisors felt it was most important to highlight the benefits patients can get from primary care, and the impact primary care can have to reduce health system costs. We consulted with primary care clinicians to ensure the infographic reflected local priorities. Working with patient advisors and Ontario Health Team representatives helped to create an infographic about Primary Care Data Reports data that is easy to understand by the public.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.334
GPT teacher head0.459
Teacher spread0.126 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes3
Has abstractyes

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