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Record W2767779879 · doi:10.1111/hex.12653

The design of behavioural interventions labelled as patient‐mediated: A scoping review

2017· review· en· W2767779879 on OpenAlexaff
Jeremy Y. Ng, Anna R. Gagliardi

Bibliographic record

VenueHealth Expectations · 2017
Typereview
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsPsychological interventionCINAHLObservational studyMEDLINEMedicineData extractionCochrane LibraryRandomized controlled trialIntervention (counseling)Family medicineNursingSurgeryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Patient-mediated interventions (PMIs) directed at patients and/or physicians improve patient or provider behaviour and patient outcomes. However, what constitutes a PMI is not clear. This study described interventions explicitly labelled as "patient-mediated" in primary research. METHODS: MEDLINE, EMBASE, Allied and Complementary Medicine, PsychINFO, HealthSTAR, Social Work Abstracts, CINAHL and Cochrane Library were searched from inception on 1 January 2017 for English language studies that developed or evaluated behavioural interventions referred to as "patient-mediated" or "patient mediated" in the full text. Screening and data extraction were independently duplicated. Data were extracted and summarized on study and intervention characteristics. Interventions were categorized as 1 of 4 PMI pathways. RESULTS: Eight studies (4 randomized controlled trials, 1 observational study and 3 qualitative studies) were included. No studies explicitly defined PMI, and few PMIs were described in terms of content and format. Although 3 studies employed physician interventions, only patient interventions were considered PMIs. One study achieved positive improvement in patient behaviour. CONCLUSIONS: Research is needed to generate consensus on the PMI concept, employ theory when designing or evaluating PMIs, establish the effectiveness of different types of PMIs, and understand when and how to employ PMIs alone or combined with other interventions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
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 score0.407
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0080.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.792
GPT teacher head0.615
Teacher spread0.177 · 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 teacher head, not a consensus.

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".

Quick stats

Citations5
Published2017
Admission routes1
Has abstractyes

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