Synthesising evidence on patient portals: a protocol for an umbrella review
Bibliographic record
Abstract
INTRODUCTION: Over the last two decades, patient portals have emerged as a noticeable eHealth strategy. To date, research on patient portals has been rapidly increasing. Our umbrella review aims to provide a meta-level synthesis to make sense of the evidence on patient portals from published systematic reviews (SRs). METHODS: We will employ a modified version of the Joanna Briggs Institute umbrella review method. The search strategy encompasses multiple databases. The inclusion criterion is specific to SRs focused on patient portal. Patients or public were not involved in this work. ANALYSIS: Two researchers will independently screen titles/abstracts and then full-text articles against the inclusion/exclusion criteria. Methodological quality of included reviews will be assessed and data will be extracted from the final selection of reviews. These reviews will be categorised into quantitative, qualitative and/or mixed-synthesis groups based on information about the design of primary studies provided in the reviews. Correspondingly, we will create quantitative, qualitative and/or mixed-synthesis Excel data-extraction tables. Within each table, data will be extracted with the reference to primary studies as reported in the reviews, and will be synthesised into themes and then a smaller number of findings/outcomes. Modified Grading of Recommendations Assessment, Development and Evaluation (GRADE) and Confidence in the Evidence from Reviews of Qualitative research (CERQual) tools will be applied to assess the strength of evidence at the level of each finding/outcome. The output of our umbrella review will consist of summary of findings tables and evidence profile tables. A narrative meta-level synthesis will be provided. We will use the clinical adoption meta-model as an organising framework. ETHICS AND DISSEMINATION: As an outcome of this review, we will create a guidance and roadmap to be used in a future Delphi study to gather feedback from Canadian eHealth stakeholders. We will also present at conferences and publish the final report. The umbrella review does not require ethical approval. PROSPERO REGISTRATION NUMBER: CRD42018096657.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.186 | 0.239 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.012 | 0.015 |
| Bibliometrics | 0.020 | 0.023 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.007 | 0.011 |
| Research integrity | 0.012 | 0.013 |
| Insufficient payload (model declined to judge) | 0.113 | 0.036 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".