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Record W3038945202 · doi:10.1186/s13012-020-01012-z

Effectiveness of reminders to sustain practice change among direct care providers in residential care facilities: a cluster randomized controlled trial

2020· article· en· W3038945202 on OpenAlexafffundabout
Susan E. Slaughter, Misha Eliasziw, Carla Ickert, C Allyson Jones, Carole A. Estabrooks, Adrian Wagg

Bibliographic record

VenueImplementation Science · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
FundersAlberta InnovatesAlberta Innovates - Health Solutions
KeywordsFidelityMedicineRandomized controlled trialPsychological interventionCluster randomised controlled trialProtocol (science)Family medicineHealth services researchIntervention (counseling)Public healthNursingAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The study purpose was to compare the effectiveness of monthly or quarterly peer reminder knowledge translation interventions, with monthly or quarterly paper-based reminders, to sustain a mobility innovation, the sit-to-stand activity. METHOD: A cluster RCT using a stratified 2 × 2 factorial design was conducted in 24 Canadian residential care facilities with 416 residents and 54 peer reminder care aides. The 1-year intervention included two intensities of reminders (high: socially based peer reminders delivered by volunteer care aides to other care aides; low: paper-based reminders posted in residents' rooms), at two frequencies (monthly; every 3 months). Intervention fidelity was assessed using questionnaires and observations. Monthly sustainability rate of the sit-to-stand activity was calculated as the percentage of opportunities that residents successfully completed the activity in 30 days. Residents' sustainability rates were analyzed using a linear mixed model that mirrored the clustered repeated-measures factorial trial design. The model included a random intercept to account for clustering within sites. An unstructured covariance structure characterized the interdependence of repeated measures over time. RESULTS: Twenty-four sites were randomized. One site was excluded because of falsifying data, leaving 23 sites and 349 residents for intention-to-treat analysis. Paper reminders were implemented with high fidelity across all arms (91.5% per protocol), while the peer reminders were implemented with moderate fidelity in the monthly group (81.0% per protocol) and poor fidelity in the quarterly group (51.7% per protocol). At month 1, mean sustainability ranged from 40.7 to 47.2 per 100 opportunities, across the four intervention arms (p = 0.43). Mean rate of sustainability in the high intensity, high frequency group diverged after randomization, yielding statistically significant differences among the groups at 4 months which persisted for the remainder of the trial. After 12 months, the mean sustainability in the high intensity, high frequency group was approximately twice that of the other three groups combined (64.1 versus 37.8 per 100 opportunities, p < 0.001). CONCLUSIONS: A monthly peer reminder intervention was more effective than a quarterly peer reminder intervention, a monthly paper-based reminder intervention, and a quarterly paper-based reminder intervention, in supporting care aides to sustain a mobility innovation in residential care facilities over 1 year. TRIAL REGISTRATION: ClinicalTrials.gov , NCT01746459. Registered 11 December 2012: https://clinicaltrials.gov/ct2/show/NCT01746459 .

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.102
GPT teacher head0.523
Teacher spread0.421 · 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 designRandomized trial
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

Citations15
Published2020
Admission routes3
Has abstractyes

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