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Record W2995688291 · doi:10.1007/s00198-019-05248-4

Patient engagement in clinical guidelines development: input from > 1000 members of the Canadian Osteoporosis Patient Network

2019· article· en· W2995688291 on OpenAlexafffundabout
Suzanne N. Morin, Marija Djekić-Ivanković, Larry Funnell, Lora Giangregorio, Isabel B. Rodrigues, Rowena Ridout, Sidney Feldman, S. Kim, Heather McDonald-Blumer, Gregory Kline, Wendy E. Ward, Nancy Santesso, William D. Leslie

Bibliographic record

VenueOsteoporosis International · 2019
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversity of ManitobaBrock UniversityUniversity of TorontoMcGill University Health CentreUniversity of WaterlooResearch Institute for AgingMcMaster UniversityOsteoporosis CanadaUniversity of CalgaryMcGill University
FundersCanadian Institutes of Health ResearchOsteoporosis Canada
KeywordsMedicineOsteoporosisRheumatologyOrthopedic surgeryInternal medicineFamily medicinePhysical therapySurgery

Abstract

fetched live from OpenAlex

Patient engagement in clinical guidelines development is essential. The results of a self-administered online survey identified themes important to people living with osteoporosis and will inform the development of Osteoporosis Canada clinical guidelines recommendations. INTRODUCTION: Patient engagement is essential in the development of high-quality and relevant guidelines for osteoporosis management. Osteoporosis Canada (OC) is updating its national clinical practice guidelines in collaboration with people living with osteoporosis in the process. METHODS: Using electronic mail, we contacted 6937 members of the Canadian Osteoporosis Patient Network (COPN) to provide input on the selection of relevant content, outcomes, and research questions via a self-administered online survey. Close-ended questions were analyzed using descriptive statistics, and conventional content analysis was conducted for open-ended questions. RESULTS: A total of 1108 individuals completed the survey (97% women, 86% stated they lived with osteoporosis). Most participants considered it critical to have recommendations on physical activity and exercise (74%), fall prevention (69%), nutrition (68%), and initial bone mineral density testing (67%). In addition to preventing fractures, over 75% of respondents stated that consideration of preserving quality of life and ability to perform daily activities, preventing admission to long-term care and fracture-related death, and avoiding serious harms from medications were essential outcomes to consider in evaluating the evidence. In terms of selection of research questions, seven themes emerged from the content analysis including pharmacotherapy, screening and monitoring, diet and supplements, education, exercise, alternative therapies, and pain management. CONCLUSIONS: Patients emphasized that autonomy, mobility, and quality of life are highly valued outcomes and must be integral to practice guideline development. As expected, guidance on pharmacotherapy, screening and monitoring, and fracture prevention were priorities identified to be included in osteoporosis management guidelines.

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)0.033
metaresearch head score (Gemma)0.142
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.142
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0060.001
Scholarly communication0.0050.004
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.046
GPT teacher head0.345
Teacher spread0.299 · 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 designObservational
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

Citations36
Published2019
Admission routes3
Has abstractyes

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