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Record W4318831073 · doi:10.21203/rs.3.rs-2201966/v1

Assessing the feasibility, acceptability, and fidelity of a teleretinopathy-based intervention to encourage greater attendance to diabetic retinopathy screening in immigrants living with diabetes from China and African-Caribbean countries in Ottawa, Canada: A protocol

2023· preprint· en· W4318831073 on OpenAlexafffundabout
Valerie Umaefulam, Mackenzie Wilson, Marie Carole Boucher, Michael H. Brent, Maman Joyce Dogba, Olivia Drescher, Jeremy Grimshaw, Noah Ivers, John G Lawrenson, Fabiana Lorencatto, David Maberley, Nicola McCleary, Sheena McHugh, Olivera Sutakovic, Kednapa Thavorn, Holly O. Witteman, Catherine Yu, Hao Cheng, Wei Han, Hong Yu, Balkissa Idrissa, Tina Leech, Joffré Malette, Isabelle Mongeon, Zawadi Mugisho, Marlyse Mbakop Nguebou, Sara Pabla, Siffan Rahman, Azaratou Samandoulougou, Hasina Visram, Richard You, Junqiang Zhao, Justin Presseau

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversity of OttawaCARE CanadaCanadian Apheresis GroupUniversity Health NetworkUniversity of TorontoUniversité LavalUniversité de MontréalOttawa Hospital
FundersCanadian Institutes of Health Research
KeywordsAttendanceImmigrationIntervention (counseling)FidelityMedicineDiabetic retinopathyChinaDiabetes mellitusOptometryGerontologyPolitical scienceNursingEndocrinologyComputer science

Abstract

fetched live from OpenAlex

Abstract Background: Diabetic retinopathy is a leading cause of preventable blindness in Canada. Clinical guidelines recommend annual diabetic retinopathy screening for people living with diabetes to reduce the risk and progression of vision loss. However, many Canadians with diabetes do not attended screening. Screening rates are even lower in immigrants to Canada including people from China, Africa and the Caribbean, and these groups are also at higher risk of developing diabetes complications. We aim to assess the feasibility, acceptability, and fidelity of a co-developed, linguistically and culturally-tailored tele-retinopathy screening intervention for Mandarin-speaking immigrants from China and French speaking immigrants from African-Caribbean countries living with diabetes in Ottawa, Canada, and identify how many from each population group attend screening during the pilot period. Methods: We will work with our health system and patient partners to conduct a six-month feasibility pilot of a tele-retinopathy screening intervention in a Community Health Centre in Ottawa. We anticipate recruiting 50-150 patients and 5-10 health care providers involved in delivering the intervention for the pilot. Acceptability will be assessed via a Theoretical Framework of Acceptability-informed survey with patients and health care providers. To assess feasibility, we will use a Theoretical Domains Framework-informed interview guide and to assess fidelity, we will use a survey informed by the National Institutes of Health Behaviour Change framework from the perspective of health care providers. We will also collect patient demographics (i.e., age, gender, ethnicity, health insurance status, and immigration information), screening outcomes (i.e., patients with retinopathy identified, patients requiring specialist care), patient costs, and other intervention related variables such as preferred language. Survey data will be descriptively analyzed and qualitative data will undergo content analysis. Discussion: This feasibility pilot study will capture how many people living with diabetes from each group attend the diabetic retinopathy screening, costs, and implementation processes for the tele-retinopathy screening intervention. The study will indicate the practicability and suitability of the intervention in increasing screening attendance in the target population groups. The study results will inform a patient-randomized trial, provide evidence to conduct an economic evaluation of the intervention, and optimize the community-based intervention.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.034
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.669
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.024
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0020.002
Science and technology studies0.0090.003
Scholarly communication0.0030.002
Open science0.0050.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0170.002

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 head0.055
GPT teacher head0.391
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations0
Published2023
Admission routes3
Has abstractyes

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