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OP0275-HPR ‘IT’S A LOT TO TAKE IN’: A SYSTEMATIC REVIEW OF THE INFORMATION NEEDS OF PEOPLE WITH INFLAMMATORY ARTHRITIS STARTING METHOTREXATE

2023· review· en· W4379518452 on OpenAlexaboutno aff
Susan Logan, Samantha Hider, Julie Green, Sarah Ryan

Bibliographic record

Venuenot available
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
FundersMedac
KeywordsMedicineMethotrexateRheumatoid arthritisSystematic reviewArthritisAlternative medicineImmunologyIntensive care medicineMEDLINEPathology

Abstract

fetched live from OpenAlex

Background Guidelines recommend that people with Inflammatory Arthritis have access to tailored information when starting treatment with Methotrexate (MTX) [1]. It is not known what information people with Inflammatory Arthritis (IA) need to take MTX. Many people have concerns about the risk-benefit profile of MTX and so do not start or continue MTX. Objectives To identify and synthesize knowledge of the characteristics, content and preferred format of information that people with IA need to take MTX. Methods A PROSPERO registered systematic literature search (CRD42022325249) was conducted using Medline, Embase, Cinahl, PsychInfo, GreyEU, Web of Science and Open Dissertation databases. All full-length articles and conference abstracts identifying information and support needs of people with Inflammatory Arthritis, and oral or sub-cutaneous MTX as the main conventional DMARD considered in the study were assessed for inclusion. The systematic review was conducted and reported in accordance with the Joanna Briggs Institute methodological guidance for Mixed Methods Systematic Reviews [2] using a convergent integrated approach and the standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement. Results 8468 studies were identified. 169 studies were reviewed by full text of which 13 studies met the inclusion criteria. Seven quantitative studies used cross-sectional internet (n=2), postal (n=2), and rheumatology clinic (n=3) surveys, two mixed methods studies, one cross-sectional survey with clinic observations and one cross-sectional survey and focus group, and four qualitative (one interview and three focus group) studies. The combined studies included 3425 adults over the age of 18 years (20-84 yrs), most were female (71%, n=2434). More people were enrolled into studies (n6) involving people with a diagnosis of Rheumatoid Arthritis (n=2278) than studies (n=7) involving people with IA (n=840). Studies were conducted in the UK (n=4), Netherlands (n=3), Spain (n=2), Australia (n=2), Canada (n=1) and Japan (n=1) and reported in English. Quantitative results were qualitized. Three main themes were identified, with an overarching theme of a need for person-centred information about Methotrexate. 1: Information to support understanding and acceptance of the need for treatment with MTX: Learning about IA diagnosis, rationale for MTX in context of IA, benefits of MTX) 2: Concerns about MTX: including risk, likelihood and management of side effects, drug interactions, impacts upon lifestyle, developing medication self-management skills 3: Content and methods of information delivery: information sources, importance of support from healthcare professionals (hcp), family and friends, value of a therapeutic relationship with hcp. Conclusion People with IA have individual, multi-faceted information and support needs about both their condition and MTX, to enable them to take MTX. Further research is recommended to explore a) the expectations of information and support before receiving information about MTX, b) experiences of people receiving information at the time of starting MTX and c) strategies to improve information and support during the course of taking MTX. References [1]Jones B, et al. Disseminating and assessing implementation of the EULAR recommendations for patient education in inflammatory arthritis: a mixed-methods study with patients’ perspectives. RMD open. 2022 Apr 1;8(1): e002256. [2]Stern C, et al. Methodological guidance for the conduct of mixed methods systematic reviews. JBI evidence synthesis. 2020 Oct 1;18(10):2108-18. Acknowledgements: NIL. Disclosure of Interests None Declared.

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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)0.037
metaresearch head score (Gemma)0.114
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.037
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.114
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.010
Bibliometrics0.0130.012
Science and technology studies0.0010.002
Scholarly communication0.0040.006
Open science0.0030.004
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.049
GPT teacher head0.349
Teacher spread0.300 · 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 designSystematic review
Domainnot available
GenreReview

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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