MétaCan
Menu
Back to cohort
Record W6943817854 · doi:10.17605/osf.io/w84rj

Patient-Oriented Research Assessment’ Criteria Procedures for Health Institutions; A scoping revue protocol

2022· other· en· W6943817854 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationProtocol (science)Health careGrey literaturePublic healthHealth services researchHealth policyHealth professionals

Abstract

fetched live from OpenAlex

INTRODUCTION Patient Oriented Research (POR) considers patients and caregivers as partners with scientific investigators, healthcare professionals and administrative decision-makers. In August 2011 the Canadian Institutes of Health Research have framed a Strategy for Patient-Oriented Research (SPOR) as a good-practice guide for Healthcare and Academic Institutions to increase patient’s participation in health research, but little is known about the POR official assessment in Health Institutions. Being accurate about the POR range in Health Research would better reflect the POR prevalence in practice reality, but the availability of standardised POR Assessment Criteria Procedures (ACP) has not yet been achieved. OBJECTIVE To overview and map evidence on existing ACP to certify the POR practice in Health Institutions. Consequently, our research question is « What are the available ACP for POR practice evaluation in Health Institution’s Medical Research? » This should serve our projects to propose standardised pan-Canadian POR accreditation protocols, and andragogy workshop tools to enrol and achieve them. METHODS Following Joanna Briggs Institute (JBI) methods and predetermined eligibility (Population-Health Institutions, Concept-POR/ACP, Context- any Medical Research, Outcomes- any relevant POR/ACP from Health Institution’s Protocols (e.g. self-declared regulation, policy, good-practice, guide-lines) to national Administrations Programs (e.g. registered, certification, accreditation, license), we are performing a qualitative scoping review, searching for POR/ACP in academic peer-reviewed data bases (e.g. PubMed, Medline, CINAHL, Cochrane Lib), and grey literature libraries (e.g. Federal and Provincial Administration, public and private health and academic institutions records, websites and conferences data). Should institution’s self regulations not be clearly stated, we will use a non-interventional POR Criteria Quiz, to assess that practice with scientific investigators, decision-makers and patients as stake holders. Our scoping review’s steps are: 1) framing the research question; 2) targeting the documentation; 3) selecting studies by 2 reviewers; 4) charting/extract data; 5) summarize and report the results. Only documents in English or French will be overviewed, from 01.01.2012 to date, and only those quoting about POR/ACP (either Programs or Protocols) still in service to date will be considered. As in many scoping revues, selected sources of evidence will not be critically appraised. We will rather perform a qualitative narrative presentation of POR/ACPs and depict their relevant elements per years and Tables mapping regulatory structures (e.g. States, Provinces, Boards, Health Institutions). PUBLICATION AND ETHICS Our results will be published in a peer-reviewed scientific journal and also presented at national and international conferences. Given this review is a secondary investigation of already published and/or openly available sources, programs, protocols, policy and statements, no ethical approvals is required. KEYWORDS Patient Oriented Research, Patient Research Engagement, Patient Centered Research, Health Institutions, Hospital, University, POR: Assessment, Evaluation, Criteria, Accreditation, Protocols, Programs, Review

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)0.329
metaresearch head score (Gemma)0.329
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.671
Threshold uncertainty score0.827

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3290.329
Meta-epidemiology (narrow)0.0050.007
Meta-epidemiology (broad)0.0090.010
Bibliometrics0.0300.024
Science and technology studies0.0070.010
Scholarly communication0.0130.012
Open science0.0090.011
Research integrity0.0120.010
Insufficient payload (model declined to judge)0.0910.022

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 head0.196
GPT teacher head0.583
Teacher spread0.387 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainEvaluation
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueOpen Science FrameworkFrench-language works237,207